From c0b90b43a71154e6268bb96ce20831de9389457d Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Fri, 13 Dec 2024 16:50:45 -0800 Subject: [PATCH 01/62] chore(weave): add two providers to backend (#3242) * add two providers to backend * lint * pr comments * use optional --- .../trace_server/clickhouse_trace_server_batched.py | 6 +++--- weave/trace_server/llm_completion.py | 13 +++++++++++-- .../model_providers/model_providers.json | 2 +- .../trace_server/model_providers/model_providers.py | 2 ++ 4 files changed, 17 insertions(+), 6 deletions(-) diff --git a/weave/trace_server/clickhouse_trace_server_batched.py b/weave/trace_server/clickhouse_trace_server_batched.py index d40d7bcc2a39..8a84d53256e9 100644 --- a/weave/trace_server/clickhouse_trace_server_batched.py +++ b/weave/trace_server/clickhouse_trace_server_batched.py @@ -1447,8 +1447,8 @@ def completions_create( if not secret_name: raise InvalidRequest(f"No secret name found for model {model_name}") api_key = secret_fetcher.fetch(secret_name).get("secrets", {}).get(secret_name) - isBedrock = model_info.get("litellm_provider") == "bedrock" - if not api_key and not isBedrock: + provider = model_info.get("litellm_provider") + if not api_key and provider != "bedrock" and provider != "bedrock_converse": raise MissingLLMApiKeyError( f"No API key {secret_name} found for model {model_name}", api_key_name=secret_name, @@ -1458,7 +1458,7 @@ def completions_create( res = lite_llm_completion( api_key, req.inputs, - isBedrock, + provider, ) end_time = datetime.datetime.now() diff --git a/weave/trace_server/llm_completion.py b/weave/trace_server/llm_completion.py index 754bbb5eb922..bec4361c856f 100644 --- a/weave/trace_server/llm_completion.py +++ b/weave/trace_server/llm_completion.py @@ -7,17 +7,26 @@ ) from weave.trace_server.secret_fetcher_context import _secret_fetcher_context +NOVA_MODELS = ("nova-pro-v1", "nova-lite-v1", "nova-micro-v1") + def lite_llm_completion( api_key: str, inputs: tsi.CompletionsCreateRequestInputs, - isBedrock: bool, + provider: Optional[str] = None, ) -> tsi.CompletionsCreateRes: aws_access_key_id, aws_secret_access_key, aws_region_name = None, None, None - if isBedrock: + if provider == "bedrock" or provider == "bedrock_converse": aws_access_key_id, aws_secret_access_key, aws_region_name = ( get_bedrock_credentials(inputs.model) ) + # Nova models need the region in the model name + if any(x in inputs.model for x in NOVA_MODELS) and aws_region_name: + aws_inference_region = aws_region_name.split("-")[0] + inputs.model = "bedrock/" + aws_inference_region + "." + inputs.model + # XAI models don't support response_format + elif provider == "xai": + inputs.response_format = None import litellm diff --git a/weave/trace_server/model_providers/model_providers.json b/weave/trace_server/model_providers/model_providers.json index 8b0c0320176b..c373c87f2d6f 100644 --- a/weave/trace_server/model_providers/model_providers.json +++ b/weave/trace_server/model_providers/model_providers.json @@ -1 +1 @@ -{"gpt-4": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "gpt-4o": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "gpt-4o-audio-preview": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "gpt-4o-audio-preview-2024-10-01": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "gpt-4o-mini": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "gpt-4o-mini-2024-07-18": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "o1-mini": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "o1-mini-2024-09-12": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "o1-preview": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "o1-preview-2024-09-12": {"litellm_provider": "openai", "api_key_name": "OPENAI_API_KEY"}, "chatgpt-4o-latest": {"litellm_provider": "openai", "api_key_name": 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{"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-central-1/1-month-commitment/anthropic.claude-instant-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-central-1/6-month-commitment/anthropic.claude-instant-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.command-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/*/1-month-commitment/cohere.command-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/*/6-month-commitment/cohere.command-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.command-light-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/*/1-month-commitment/cohere.command-light-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/*/6-month-commitment/cohere.command-light-text-v14": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.command-r-plus-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.command-r-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.embed-english-v3": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "cohere.embed-multilingual-v3": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama2-13b-chat-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama2-70b-chat-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/us-east-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/us-west-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/ap-south-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/ca-central-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-west-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-west-2/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/sa-east-1/meta.llama3-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/us-east-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/us-west-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/ap-south-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/ca-central-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-west-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/eu-west-2/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "bedrock/sa-east-1/meta.llama3-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-1-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-1-8b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-1-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-1-70b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-1-405b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-1-405b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-2-1b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-2-1b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "eu.meta.llama3-2-1b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-2-3b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-2-3b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "eu.meta.llama3-2-3b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-2-11b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-2-11b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "meta.llama3-2-90b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "us.meta.llama3-2-90b-instruct-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "512-x-512/50-steps/stability.stable-diffusion-xl-v0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "512-x-512/max-steps/stability.stable-diffusion-xl-v0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "max-x-max/50-steps/stability.stable-diffusion-xl-v0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "max-x-max/max-steps/stability.stable-diffusion-xl-v0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "stability.sd3-large-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}, "stability.stable-image-ultra-v1:0": {"litellm_provider": "bedrock", "api_key_name": "BEDROCK_API_KEY"}} \ No newline at end of file diff --git a/weave/trace_server/model_providers/model_providers.py b/weave/trace_server/model_providers/model_providers.py index 135ed91e2b1b..1b967a890957 100644 --- a/weave/trace_server/model_providers/model_providers.py +++ b/weave/trace_server/model_providers/model_providers.py @@ -16,6 +16,8 @@ "fireworks": "FIREWORKS_API_KEY", "groq": "GEMMA_API_KEY", "bedrock": "BEDROCK_API_KEY", + "bedrock_converse": "BEDROCK_API_KEY", + "xai": "XAI_API_KEY", } From cb612d4c601babe1c416852ba81b27b8fbd6ae14 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Fri, 13 Dec 2024 16:53:35 -0800 Subject: [PATCH 02/62] style(weave): add icons to trace tree (#3227) * add icons to trace tree * sentence case --- .../PlaygroundChat/PlaygroundCallStats.tsx | 54 ++++++++++--------- .../pages/PlaygroundPage/PlaygroundPage.tsx | 24 +++++++-- 2 files changed, 48 insertions(+), 30 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundCallStats.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundCallStats.tsx index 9888ea886819..d969a91136ed 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundCallStats.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundCallStats.tsx @@ -1,31 +1,19 @@ import {Button} from '@wandb/weave/components/Button'; +import {Pill} from '@wandb/weave/components/Tag'; import {Tailwind} from '@wandb/weave/components/Tailwind'; +import {Tooltip} from '@wandb/weave/components/Tooltip'; import {makeRefCall} from '@wandb/weave/util/refs'; import React from 'react'; import {useHistory} from 'react-router-dom'; import {useWeaveflowRouteContext} from '../../../context'; import {Reactions} from '../../../feedback/Reactions'; +import {TraceCostStats} from '../../CallPage/cost'; import {TraceCallSchema} from '../../wfReactInterface/traceServerClientTypes'; export const PlaygroundCallStats = ({call}: {call: TraceCallSchema}) => { - let totalTokens = 0; - if (call?.summary?.usage) { - for (const key of Object.keys(call.summary.usage)) { - totalTokens += - call.summary.usage[key].prompt_tokens || - call.summary.usage[key].input_tokens || - 0; - totalTokens += - call.summary.usage[key].completion_tokens || - call.summary.usage[key].output_tokens || - 0; - } - } - const [entityName, projectName] = call?.project_id?.split('/') || []; const callId = call?.id || ''; - const latency = call?.summary?.weave?.latency_ms; const {peekingRouter} = useWeaveflowRouteContext(); const history = useHistory(); @@ -43,21 +31,35 @@ export const PlaygroundCallStats = ({call}: {call: TraceCallSchema}) => { false ); + const latency = call?.summary?.weave?.latency_ms ?? 0; + const usageData = call?.summary?.usage; + const costData = call?.summary?.weave?.costs; + return ( -
- Latency: {latency}ms - • +
+ {(call.output as any)?.choices?.[0]?.finish_reason && ( - <> - - Finish reason: {(call.output as any).choices[0].finish_reason} - - • - + + + + } + /> )} - {totalTokens} tokens - • {callLink && (
From 7d02770fe84512846b25b5c503d254b76146129e Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Mon, 16 Dec 2024 15:46:27 -0800 Subject: [PATCH 14/62] Hide func drawer textarea draggable (#3263) --- .../PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx index d9b817ef8868..c01e38245467 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundSettings/FunctionDrawer.tsx @@ -129,11 +129,9 @@ export const FunctionDrawer: React.FC = ({ setFunctionJSON(e.target.value)} + className="!resize-none" /> {jsonValidationError && functionJSON.length > 0 && ( From 98feb8beaad29963d0985e49a09e9c5f314e6df6 Mon Sep 17 00:00:00 2001 From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com> Date: Tue, 17 Dec 2024 06:05:30 -0600 Subject: [PATCH 15/62] chore(ui): addicon codegen, diff icon (#3258) --- weave-js/src/assets/icons/icon-diff.svg | 4 ++++ weave-js/src/components/Icon/Icon.tsx | 5 +++++ weave-js/src/components/Icon/index.ts | 1 + weave-js/src/components/Icon/types.ts | 1 + 4 files changed, 11 insertions(+) create mode 100644 weave-js/src/assets/icons/icon-diff.svg diff --git a/weave-js/src/assets/icons/icon-diff.svg b/weave-js/src/assets/icons/icon-diff.svg new file mode 100644 index 000000000000..318ec5dcfff0 --- /dev/null +++ b/weave-js/src/assets/icons/icon-diff.svg @@ -0,0 +1,4 @@ + + + + diff --git a/weave-js/src/components/Icon/Icon.tsx b/weave-js/src/components/Icon/Icon.tsx index 20e8e23401d0..30843394931b 100644 --- a/weave-js/src/components/Icon/Icon.tsx +++ b/weave-js/src/components/Icon/Icon.tsx @@ -57,6 +57,7 @@ import {ReactComponent as ImportDatabaseArtifacts} from '../../assets/icons/icon import {ReactComponent as ImportDate} from '../../assets/icons/icon-date.svg'; import {ReactComponent as ImportDelete} from '../../assets/icons/icon-delete.svg'; import {ReactComponent as ImportDiamond} from '../../assets/icons/icon-diamond.svg'; +import {ReactComponent as ImportDiff} from '../../assets/icons/icon-diff.svg'; import {ReactComponent as ImportDiscordSocial} from '../../assets/icons/icon-discord-social.svg'; import {ReactComponent as ImportDockerWhale} from '../../assets/icons/icon-docker-whale.svg'; import {ReactComponent as ImportDocument} from '../../assets/icons/icon-document.svg'; @@ -453,6 +454,9 @@ export const IconDelete = (props: SVGIconProps) => ( export const IconDiamond = (props: SVGIconProps) => ( ); +export const IconDiff = (props: SVGIconProps) => ( + +); export const IconDiscordSocial = (props: SVGIconProps) => ( ); @@ -1145,6 +1149,7 @@ const ICON_NAME_TO_ICON: Record = { date: IconDate, delete: IconDelete, diamond: IconDiamond, + diff: IconDiff, 'discord-social': IconDiscordSocial, 'docker-whale': IconDockerWhale, document: IconDocument, diff --git a/weave-js/src/components/Icon/index.ts b/weave-js/src/components/Icon/index.ts index 39c6eed31703..ef67dfa6e4a0 100644 --- a/weave-js/src/components/Icon/index.ts +++ b/weave-js/src/components/Icon/index.ts @@ -57,6 +57,7 @@ export { IconDate, IconDelete, IconDiamond, + IconDiff, IconDiscordSocial, IconDockerWhale, IconDocument, diff --git a/weave-js/src/components/Icon/types.ts b/weave-js/src/components/Icon/types.ts index 47f5f357adc6..4eaa6bd2db15 100644 --- a/weave-js/src/components/Icon/types.ts +++ b/weave-js/src/components/Icon/types.ts @@ -56,6 +56,7 @@ export const IconNames = { Date: 'date', Delete: 'delete', Diamond: 'diamond', + Diff: 'diff', DiscordSocial: 'discord-social', DockerWhale: 'docker-whale', Document: 'document', From b506acb1b8a02037107bdcda30e7467ad16f33c1 Mon Sep 17 00:00:00 2001 From: J2-D2-3PO <188380414+J2-D2-3PO@users.noreply.github.com> Date: Tue, 17 Dec 2024 08:15:36 -0700 Subject: [PATCH 16/62] docs(weave): Update platform doc with dedicated cloud info (#3244) * docs(weave): Update platform doc with dedicated cloud info --- docs/docs/guides/platform/index.md | 43 +++++++++++++++++++----------- 1 file changed, 28 insertions(+), 15 deletions(-) diff --git a/docs/docs/guides/platform/index.md b/docs/docs/guides/platform/index.md index 50cceb9b5f96..9a53f79d7234 100644 --- a/docs/docs/guides/platform/index.md +++ b/docs/docs/guides/platform/index.md @@ -1,31 +1,44 @@ # Platform & Security -Weave is available on [W&B SaaS Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/saas_cloud) which is a multi-tenant, fully-managed platform deployed in W&B's Google Cloud Platform (GCP) account in a North America region. +Weave is available on the following deployment options: -:::info -It's coming soon on [W&B Dedicated Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/dedicated_cloud). Reach out to your W&B team if that would be of interest in your organization. -::: +- **[W&B SaaS Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/saas_cloud):** A multi-tenant, fully-managed platform deployed in W&B's Google Cloud Platform (GCP) account in a North America region. +- **[W&B Dedicated Cloud](https://docs.wandb.ai/guides/hosting/hosting-options/dedicated_cloud):** Generally available on AWS and in preview on GCP and Azure. +- **Self-managed instances:** For teams that prefer to host Weave independently, guidance is available from your W&B team to evaluate deployment options. -## Identity & Access Management +## Identity and Access Management -Use the identity and access management capabilities for secure authentication and effective authorization in your [W&B Organization](https://docs.wandb.ai/guides/hosting/iam/org_team_struct#organization). The following capabilities are available for Weave users in W&B SaaS Cloud: +Use the identity and access management capabilities for secure authentication and effective authorization in your [W&B Organization](https://docs.wandb.ai/guides/hosting/iam/org_team_struct#organization). The following capabilities are available for Weave users depending on your deployment option and [pricing plan](https://wandb.ai/site/pricing/): -* Authenticate using Single-Sign On (SSO), with available options being Google, Github, Microsoft, and [OIDC providers](https://docs.wandb.ai/guides/technical-faq/general#does-wb-support-sso-for-saas) -* [Team-based access control](https://docs.wandb.ai/guides/hosting/iam/manage-users#manage-a-team), where each team may correspond to a business unit / function, department, or a project team in your company -* Use W&B projects to organize different initiatives within a team, and configure the required [visibility scope](https://docs.wandb.ai/guides/hosting/restricted-projects) for each project +- **Authenticate using Single-Sign On (SSO):** Options include public identity providers like Google and Github, as well as enterprise providers such as Okta, Azure Active Directory, and others, [using OIDC](https://docs.wandb.ai/guides/technical-faq/general#does-wb-support-sso-for-saas). +- **[Team-based logical separation](https://docs.wandb.ai/guides/hosting/iam/manage-organization/#add-and-manage-teams):** Each team may correspond to a business unit, department, or project team within your organization. +- **Use W&B projects to organize initiatives:** Organize initiatives within teams and configure the required [visibility scope](https://docs.wandb.ai/guides/hosting/restricted-projects), including the `restricted` scope for sensitive collaborations. +- **Role-based access control:** Configure access at the [team](https://docs.wandb.ai/guides/hosting/iam/manage-organization#assign-or-update-a-team-members-role) or [project](https://docs.wandb.ai/guides/hosting/iam/restricted-projects#project-level-roles) level to ensure users access data on a need-to-know basis. +- **Scoped service accounts:** Automate Gen AI workflows using service accounts scoped to your organization or team. +- **[SCIM API and Python SDK](https://docs.wandb.ai/guides/hosting/iam/automate_iam):** Manage users and teams efficiently with SCIM API and Python SDK. ## Data Security -In the W&B SaaS Cloud, data of all Weave users is stored in a shared cloud storage and is processed using shared compute services. The shared cloud storage is encrypted using the cloud-native encryption mechanism. When reading or writing data on behalf of a user, a security context comprising of the user's W&B organization, team and project is utilized to ensure data path isolation. +- **SaaS Cloud:** Data for all Weave users is stored in a shared Clickhouse Cloud cluster, encrypted using cloud-native encryption. Shared compute services process the data, ensuring isolation through a security context comprising your W&B organization, team, and project. + +- **Dedicated Cloud:** Data is stored in a unique Clickhouse Cloud cluster in the cloud and region of your choice. A unique compute environment processes the data, with the following additional protections: + - **[IP allowlisting](https://docs.wandb.ai/guides/hosting/data-security/ip-allowlisting):** Authorize access to your instance from specific IP addresses. This is an optional capability. + - **[Private connectivity](https://docs.wandb.ai/guides/hosting/data-security/private-connectivity):** Route data securely through the cloud provider's private network. This is an optional capability. + - **[Data encryption](https://docs.wandb.ai/guides/hosting/data-security/data-encryption):** W&B encrypts data at rest using a unique W&B-managed encryption key. + - **Clickhouse cluster security:** W&B connects to the unique Clickhouse Cloud cluster for your Dedicated Cloud instance over the cloud provider's private network. W&B also encrypts the cluster using a unique W&B-managed encryption key, while leveraging Clickhouse's file level encryption. -:::note -[Secure storage connector](https://docs.wandb.ai/guides/hosting/secure-storage-connector) is not applicable to Weave. +:::important +[The W&B Platform secure storage connector or BYOB](https://docs.wandb.ai/guides/hosting/data-security/secure-storage-connector) is not available for Weave. ::: -## Maintenance +## Maintenance -If you're using Weave on W&B SaaS Cloud, you do not incur the overhead and costs of provisioning and maintaining the W&B platform. It's all fully managed for you. +If you're using Weave on SaaS Cloud or Dedicated Cloud, you avoid the overhead and costs of provisioning, operating, and maintaining the W&B platform, as it is fully managed for you. ## Compliance -Security controls for W&B SaaS Cloud are periodically audited internally and externally. Refer to the [W&B Security Portal](https://security.wandb.ai/) to request the SOC2 report and other security and compliance documents. \ No newline at end of file +:::tip +To request SOC 2 reports and other security and compliance documents, refer to the [W&B Security Portal](https://security.wandb.ai/) or contact your W&B team for more information. +::: + +Security controls for both SaaS Cloud and Dedicated Cloud are periodically audited internally and externally. Both platforms are SOC 2 Type II compliant. Additionally, Dedicated Cloud is HIPAA-compliant for organizations managing PHI data while building Generative AI applications. From 5ed3f51ec1cc55cb18f7459b9a39f4e04c3f4985 Mon Sep 17 00:00:00 2001 From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com> Date: Tue, 17 Dec 2024 09:38:15 -0600 Subject: [PATCH 17/62] chore(weave): add some links to Release instructions (#3210) --- dev_docs/RELEASE.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/dev_docs/RELEASE.md b/dev_docs/RELEASE.md index 8c5611afa62f..6514f9d6730b 100644 --- a/dev_docs/RELEASE.md +++ b/dev_docs/RELEASE.md @@ -6,7 +6,8 @@ This document outlines how to publish a new Weave release to our public [PyPI pa 2. You should also run through this [sample notebook](https://colab.research.google.com/drive/1DmkLzhFCFC0OoN-ggBDoG1nejGw2jQZy#scrollTo=29hJrcJQA7jZ) remember to install from master. You can also just run the [quickstart](http://wandb.me/weave_colab). -3. To prepare a PATCH release, go to GitHub Actions and run the `bump-python-sdk-version` workflow on master. This will: +3. To prepare a PATCH release, go to GitHub Actions and run the [bump-python-sdk-version](https://github.com/wandb/weave/actions/workflows/bump_version.yaml) workflow on master. This will: + - Create a new patch version by dropping the pre-release (e.g., `x.y.z-dev0` -> `x.y.z`) and tag this commit with `x.y.z` - Create a new dev version by incrementing the dev version (e.g., `x.y.z` -> `x.y.(z+1)-dev0`) and commit this to master - Both of these commits will be pushed to master @@ -16,6 +17,6 @@ This document outlines how to publish a new Weave release to our public [PyPI pa 5. Verify the new version of Weave exists in [PyPI](https://pypi.org/project/weave/) once it is complete. -6. Go to GitHub, click the release tag, and click `Draft a New Release`. Select the new tag, and click generate release notes. Publish the release. +6. Go to the [GitHub new release page](https://github.com/wandb/weave/releases/new). Select the new tag, and click "Generate release notes". Publish the release. 7. Finally, announce that the merge freeze is over. From ee585dc0fbb0aa2139e73923a735fdec3969e839 Mon Sep 17 00:00:00 2001 From: Tim Sweeney Date: Tue, 17 Dec 2024 09:15:31 -0800 Subject: [PATCH 18/62] chore(weave): Fixes error overflow #3266 --- .../Home/Browse3/pages/CallPage/CallDetails.tsx | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallDetails.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallDetails.tsx index 26be9f0c5d0e..03519960bf37 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallDetails.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallDetails.tsx @@ -149,12 +149,13 @@ export const CallDetails: FC<{ p: 2, }}> {'traceback' in excInfo ? ( - <> - +
+ Error - +
) : ( From f542138eadc65aedc395ec694c426d470203b6b9 Mon Sep 17 00:00:00 2001 From: Abraham Leal <45460452+abraham-leal@users.noreply.github.com> Date: Tue, 17 Dec 2024 11:20:03 -0600 Subject: [PATCH 19/62] feat(weave): Add tracking for openai moderation and embeddings api (#3252) * feat(weave): Add tracking for openai moderation and embeddings api * different settings for moderations and embeddings * Add tests for embedding and moderation autopatching * Actually run things with nox * finish up tests * expect embeddings tracing in llamaindex and langchain * expect embeddings tracing in llamaindex and langchain, mod len of flattened calls * expect embeddings tracing in llamaindex and langchain, mod len of flattened calls * surface embedding calls at the right level --- .../integrations/langchain/langchain_test.py | 6 +- .../llamaindex/llamaindex_test.py | 4 +- ...test_openai_async_embeddings_patching.yaml | 206 ++++++++++++++++++ ...test_openai_async_moderation_patching.yaml | 90 ++++++++ .../test_openai_embeddings_patching.yaml | 206 ++++++++++++++++++ .../test_openai_moderation_patching.yaml | 90 ++++++++ tests/integrations/openai/openai_test.py | 144 ++++++++++++ weave/integrations/openai/openai_sdk.py | 32 +++ 8 files changed, 776 insertions(+), 2 deletions(-) create mode 100644 tests/integrations/openai/cassettes/openai_test/test_openai_async_embeddings_patching.yaml create mode 100644 tests/integrations/openai/cassettes/openai_test/test_openai_async_moderation_patching.yaml create mode 100644 tests/integrations/openai/cassettes/openai_test/test_openai_embeddings_patching.yaml create mode 100644 tests/integrations/openai/cassettes/openai_test/test_openai_moderation_patching.yaml diff --git a/tests/integrations/langchain/langchain_test.py b/tests/integrations/langchain/langchain_test.py index e1e9f1a7fe21..0d0b2bedb149 100644 --- a/tests/integrations/langchain/langchain_test.py +++ b/tests/integrations/langchain/langchain_test.py @@ -293,16 +293,18 @@ def run_batch(batch: list) -> None: def assert_correct_calls_for_rag_chain(calls: list[Call]) -> None: flattened = flatten_calls(calls) - assert len(flattened) == 10 + assert len(flattened) == 12 assert_ends_and_errors(flattened) got = [(op_name_from_ref(c.op_name), d) for (c, d) in flattened] exp = [ + ("openai.embeddings.create", 0), ("langchain.Chain.RunnableSequence", 0), ("langchain.Chain.RunnableParallel_context_question", 1), ("langchain.Chain.RunnableSequence", 2), ("langchain.Retriever.VectorStoreRetriever", 3), + ("openai.embeddings.create", 4), ("langchain.Chain.format_docs", 3), ("langchain.Chain.RunnablePassthrough", 2), # Potential position ("langchain.Prompt.ChatPromptTemplate", 1), @@ -315,11 +317,13 @@ def assert_correct_calls_for_rag_chain(calls: list[Call]) -> None: # allowing for variation in the order of execution. As a result, # `RunnablePassthrough` may appear in one of two possible positions. exp_2 = [ + ("openai.embeddings.create", 0), ("langchain.Chain.RunnableSequence", 0), ("langchain.Chain.RunnableParallel_context_question", 1), ("langchain.Chain.RunnablePassthrough", 2), # Potential position ("langchain.Chain.RunnableSequence", 2), ("langchain.Retriever.VectorStoreRetriever", 3), + ("openai.embeddings.create", 4), ("langchain.Chain.format_docs", 3), ("langchain.Prompt.ChatPromptTemplate", 1), ("langchain.Llm.ChatOpenAI", 1), diff --git a/tests/integrations/llamaindex/llamaindex_test.py b/tests/integrations/llamaindex/llamaindex_test.py index d74ee148f6eb..7f656b1be69c 100644 --- a/tests/integrations/llamaindex/llamaindex_test.py +++ b/tests/integrations/llamaindex/llamaindex_test.py @@ -24,12 +24,14 @@ def assert_calls_correct_for_quickstart(flattened_calls: list[Call]) -> None: llama_index.llm openai.chat.completions.create """ - assert len(flattened_calls) == 9 + assert len(flattened_calls) == 11 exp = [ + ("openai.embeddings.create", 0), ("llama_index.query", 0), ("llama_index.retrieve", 1), ("llama_index.embedding", 2), + ("openai.embeddings.create", 3), ("llama_index.synthesize", 1), ("llama_index.chunking", 2), ("llama_index.chunking", 2), diff --git a/tests/integrations/openai/cassettes/openai_test/test_openai_async_embeddings_patching.yaml b/tests/integrations/openai/cassettes/openai_test/test_openai_async_embeddings_patching.yaml new file mode 100644 index 000000000000..e1b0fccb592f --- /dev/null +++ b/tests/integrations/openai/cassettes/openai_test/test_openai_async_embeddings_patching.yaml @@ -0,0 +1,206 @@ +interactions: +- request: + body: '{"input":"embed this","model":"text-embedding-3-small","encoding_format":"base64"}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '82' + content-type: + - application/json + host: + - api.openai.com + user-agent: + 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X-Content-Type-Options: + - nosniff + alt-svc: + - h3=":443"; ma=86400 + openai-organization: + - wandb + openai-processing-ms: + - '408' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=31536000; includeSubDomains; preload + x-request-id: + - req_c7b56ed221375fbb1c15ee4a2488fc3b + status: + code: 200 + message: OK +version: 1 diff --git a/tests/integrations/openai/openai_test.py b/tests/integrations/openai/openai_test.py index 3022defc5a1f..bf486f9794fd 100644 --- a/tests/integrations/openai/openai_test.py +++ b/tests/integrations/openai/openai_test.py @@ -893,3 +893,147 @@ async def test_openai_as_context_manager_async( # since we are setting `stream_options`, the chunk should not have usage information assert chunk.usage is None + + +@pytest.mark.skip_clickhouse_client # TODO:VCR recording does not seem to allow us to make requests to the clickhouse db in non-recording mode +@pytest.mark.vcr( + filter_headers=["authorization"], + allowed_hosts=["api.wandb.ai", "localhost"], +) +def test_openai_moderation_patching( + client: weave.trace.weave_client.WeaveClient, +) -> None: + api_key = os.environ.get("OPENAI_API_KEY", "DUMMY_API_KEY") + + openai_client = OpenAI(api_key=api_key) + + response = openai_client.moderations.create( + model="omni-moderation-latest", + input="...text to classify goes here...", + ) + + calls = list(client.calls()) + assert len(calls) == 1 + call = calls[0] + + exp_harassment = False + assert response.results[0].categories.harassment == exp_harassment + + assert op_name_from_ref(call.op_name) == "openai.moderations.create" + assert call.started_at is not None + assert call.started_at < call.ended_at # type: ignore + + output = call.output + assert output["model"] == "omni-moderation-latest-intents" + + inputs = call.inputs + assert inputs["model"] == "omni-moderation-latest" + assert inputs["input"] == "...text to classify goes here..." + + +@pytest.mark.skip_clickhouse_client # TODO:VCR recording does not seem to allow us to make requests to the clickhouse db in non-recording mode +@pytest.mark.vcr( + filter_headers=["authorization"], allowed_hosts=["api.wandb.ai", "localhost"] +) +@pytest.mark.asyncio +async def test_openai_async_moderation_patching( + client: weave.trace.weave_client.WeaveClient, +) -> None: + api_key = os.environ.get("OPENAI_API_KEY", "DUMMY_API_KEY") + + openai_client = AsyncOpenAI(api_key=api_key) + + response = await openai_client.moderations.create( + model="omni-moderation-latest", + input="...text to classify goes here...", + ) + + calls = list(client.calls()) + assert len(calls) == 1 + call = calls[0] + + exp_harassment = False + assert response.results[0].categories.harassment == exp_harassment + + assert op_name_from_ref(call.op_name) == "openai.moderations.create" + assert call.started_at is not None + assert call.started_at < call.ended_at # type: ignore + + output = call.output + assert output["model"] == "omni-moderation-latest-intents" + + inputs = call.inputs + assert inputs["model"] == "omni-moderation-latest" + assert inputs["input"] == "...text to classify goes here..." + + +@pytest.mark.skip_clickhouse_client # TODO:VCR recording does not seem to allow us to make requests to the clickhouse db in non-recording mode +@pytest.mark.vcr( + filter_headers=["authorization"], + allowed_hosts=["api.wandb.ai", "localhost"], +) +def test_openai_embeddings_patching( + client: weave.trace.weave_client.WeaveClient, +) -> None: + api_key = os.environ.get("OPENAI_API_KEY", "DUMMY_API_KEY") + + openai_client = OpenAI(api_key=api_key) + + response = openai_client.embeddings.create( + model="text-embedding-3-small", + input="embed this", + ) + + calls = list(client.calls()) + assert len(calls) == 1 + call = calls[0] + + exp_embeddings = "list" + assert response.object == exp_embeddings + + assert op_name_from_ref(call.op_name) == "openai.embeddings.create" + assert call.started_at is not None + assert call.started_at < call.ended_at # type: ignore + + output = call.output + assert output["model"] == "text-embedding-3-small" + + inputs = call.inputs + assert inputs["model"] == "text-embedding-3-small" + assert inputs["input"] == "embed this" + + +@pytest.mark.skip_clickhouse_client # TODO:VCR recording does not seem to allow us to make requests to the clickhouse db in non-recording mode +@pytest.mark.vcr( + filter_headers=["authorization"], allowed_hosts=["api.wandb.ai", "localhost"] +) +@pytest.mark.asyncio +async def test_openai_async_embeddings_patching( + client: weave.trace.weave_client.WeaveClient, +) -> None: + api_key = os.environ.get("OPENAI_API_KEY", "DUMMY_API_KEY") + + openai_client = AsyncOpenAI(api_key=api_key) + + response = await openai_client.embeddings.create( + model="text-embedding-3-small", + input="embed this", + ) + + calls = list(client.calls()) + assert len(calls) == 1 + call = calls[0] + + exp_embeddings = "list" + assert response.object == exp_embeddings + + assert op_name_from_ref(call.op_name) == "openai.embeddings.create" + assert call.started_at is not None + assert call.started_at < call.ended_at # type: ignore + + output = call.output + assert output["model"] == "text-embedding-3-small" + + inputs = call.inputs + assert inputs["model"] == "text-embedding-3-small" + assert inputs["input"] == "embed this" diff --git a/weave/integrations/openai/openai_sdk.py b/weave/integrations/openai/openai_sdk.py index a1e3a9b5831b..7bf8691c83e8 100644 --- a/weave/integrations/openai/openai_sdk.py +++ b/weave/integrations/openai/openai_sdk.py @@ -404,6 +404,18 @@ def get_openai_patcher( async_completions_parse_settings = base.model_copy( update={"name": base.name or "openai.beta.chat.completions.parse"} ) + moderation_create_settings = base.model_copy( + update={"name": base.name or "openai.moderations.create"} + ) + async_moderation_create_settings = base.model_copy( + update={"name": base.name or "openai.moderations.create"} + ) + embeddings_create_settings = base.model_copy( + update={"name": base.name or "openai.embeddings.create"} + ) + async_embeddings_create_settings = base.model_copy( + update={"name": base.name or "openai.embeddings.create"} + ) _openai_patcher = MultiPatcher( [ @@ -431,6 +443,26 @@ def get_openai_patcher( "AsyncCompletions.parse", create_wrapper_async(settings=async_completions_parse_settings), ), + SymbolPatcher( + lambda: importlib.import_module("openai.resources.moderations"), + "Moderations.create", + create_wrapper_sync(settings=moderation_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("openai.resources.moderations"), + "AsyncModerations.create", + create_wrapper_async(settings=async_moderation_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("openai.resources.embeddings"), + "Embeddings.create", + create_wrapper_sync(settings=embeddings_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("openai.resources.embeddings"), + "AsyncEmbeddings.create", + create_wrapper_async(settings=async_embeddings_create_settings), + ), ] ) From 322d7fbdfc6ed432ab9991268f2a183056a908af Mon Sep 17 00:00:00 2001 From: Tim Sweeney Date: Tue, 17 Dec 2024 09:36:15 -0800 Subject: [PATCH 20/62] chore(weave): Regen latest docs #3265 --- .../gen_notebooks/01-intro_notebook.md | 14 +- .../gen_notebooks/audio_with_weave.md | 98 ++- .../notdiamond_custom_routing.md | 229 ++++++ .../gen_notebooks/online_monitoring.md | 76 +- .../gen_notebooks/weave_via_service_api.md | 393 +++++----- docs/docs/reference/python-sdk/weave/index.md | 255 +++++- .../weave/trace/weave.trace.feedback.md | 67 +- .../python-sdk/weave/trace/weave.trace.op.md | 14 +- .../weave/trace/weave.trace.util.md | 30 +- .../weave/trace/weave.trace.weave_client.md | 207 +++-- .../weave.trace_server.interface.query.md | 16 +- ...ave.trace_server.trace_server_interface.md | 534 +++++++++---- ...erver_bindings.remote_http_trace_server.md | 136 +++- .../call-end-call-end-post.api.mdx | 2 +- ...start-batch-call-upsert-batch-post.api.mdx | 2 +- .../call-start-call-start-post.api.mdx | 2 +- .../cost-query-cost-query-post.api.mdx | 2 +- ...edback-create-feedback-create-post.api.mdx | 184 ++++- ...back-replace-feedback-replace-post.api.mdx | 732 ++++++++++++++++++ .../obj-create-obj-create-post.api.mdx | 92 ++- .../obj-read-obj-read-post.api.mdx | 2 +- .../objs-query-objs-query-post.api.mdx | 2 +- docs/docs/reference/service-api/sidebar.ts | 6 + docs/scripts/screenshot_spec.json | 2 +- docs/static/img/screenshots/basic_call.png | Bin 249337 -> 200779 bytes docs/static/img/screenshots/calls_filter.png | Bin 147506 -> 150386 bytes docs/static/img/screenshots/calls_macro.png | Bin 261203 -> 265492 bytes weave/trace/op.py | 2 + 28 files changed, 2411 insertions(+), 688 deletions(-) create mode 100644 docs/docs/reference/gen_notebooks/notdiamond_custom_routing.md create mode 100644 docs/docs/reference/service-api/feedback-replace-feedback-replace-post.api.mdx diff --git a/docs/docs/reference/gen_notebooks/01-intro_notebook.md b/docs/docs/reference/gen_notebooks/01-intro_notebook.md index 19e49c027bff..4aefaa5991bc 100644 --- a/docs/docs/reference/gen_notebooks/01-intro_notebook.md +++ b/docs/docs/reference/gen_notebooks/01-intro_notebook.md @@ -83,7 +83,7 @@ weave.init(PROJECT) client = OpenAI() response = client.chat.completions.create( - model="gpt-3.5-turbo-1106", + model="gpt-4o-mini", messages=[ { "role": "system", @@ -153,7 +153,7 @@ def correct_grammar(user_input): stripped = strip_user_input(user_input) response = client.chat.completions.create( - model="gpt-3.5-turbo-1106", + model="gpt-4o-mini", messages=[ { "role": "system", @@ -198,7 +198,7 @@ def correct_grammar(user_input): stripped = strip_user_input(user_input) response = client.chat.completions.create( - model="gpt-3.5-turbo-1106", + model="gpt-4o-mini", messages=[ { "role": "system", @@ -282,7 +282,7 @@ class OpenAIGrammarCorrector(weave.Model): corrector = OpenAIGrammarCorrector( - openai_model_name="gpt-3.5-turbo-1106", + openai_model_name="gpt-4o-mini", system_message="You are a grammar checker, correct the following user input.", ) @@ -307,8 +307,8 @@ dataset = weave.Dataset( }, {"user_input": " I write good ", "expected": "I write well"}, { - "user_input": " GPT-3 is smartest AI model. ", - "expected": "GPT-3 is the smartest AI model.", + "user_input": " GPT-4 is smartest AI model. ", + "expected": "GPT-4 is the smartest AI model.", }, ], ) @@ -331,7 +331,7 @@ import weave weave.init(PROJECT) corrector = OpenAIGrammarCorrector( - openai_model_name="gpt-3.5-turbo-1106", + openai_model_name="gpt-4o-mini", system_message="You are a grammar checker, correct the following user input.", ) diff --git a/docs/docs/reference/gen_notebooks/audio_with_weave.md b/docs/docs/reference/gen_notebooks/audio_with_weave.md index a8c6b45efc1e..6b25bb332713 100644 --- a/docs/docs/reference/gen_notebooks/audio_with_weave.md +++ b/docs/docs/reference/gen_notebooks/audio_with_weave.md @@ -1,6 +1,6 @@ ---- -title: Log Audio With Weave ---- + +## title: Log Audio With Weave + :::tip[This is a notebook] @@ -12,14 +12,14 @@ title: Log Audio With Weave ::: - +## + # How to use Weave with Audio Data: An OpenAI Example This demo uses the OpenAI chat completions API with GPT 4o Audio Preview to generate audio responses to text prompts and track these in Weave. - For the advanced use case, we leverage the OpenAI Realtime API to stream audio in realtime. Click the following thumbnail to view the video demonstration, or click [here](https://www.youtube.com/watch?v=lnnd73xDElw). @@ -27,12 +27,12 @@ For the advanced use case, we leverage the OpenAI Realtime API to stream audio i [![Everything Is AWESOME](https://img.youtube.com/vi/lnnd73xDElw/0.jpg)](https://www.youtube.com/watch?v=lnnd73xDElw "Everything Is AWESOME") - ## Setup Start by installing the OpenAI (`openai`) and Weave (`weave`) dependencies, as well as API key management dependencey `set-env`. + ```python %%capture !pip install openai @@ -40,7 +40,8 @@ Start by installing the OpenAI (`openai`) and Weave (`weave`) dependencies, as w !pip install set-env-colab-kaggle-dotenv -q # for env var ``` -Next, load the required API keys for OpenAI and Weave. Here, we use set_env which is compatible with google colab's secret keys manager, and is an alternative to colab's specific `google.colab.userdata`. See: [here](https://pypi.org/project/set-env-colab-kaggle-dotenv/) for usage instructions. +Next, load the required API keys for OpenAI and Weave. Here, we use set_env which is compatible with google colab's secret keys manager, and is an alternative to colab's specific `google.colab.userdata`. See: [here](https://pypi.org/project/set-env-colab-kaggle-dotenv/) for usage instructions. + ```python @@ -54,6 +55,7 @@ _ = set_env("WANDB_API_KEY") And finally import the required libraries. + ```python import base64 import os @@ -69,9 +71,11 @@ import weave ## Audio Streaming and Storage Example + Now we will setup a call to OpenAI's completions endpoint with audio modality enabled. First create the OpenAI client and initiate a Weave project. + ```python client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY")) weave.init("openai-audio-chat") @@ -80,15 +84,18 @@ weave.init("openai-audio-chat") Now we will define our OpenAI completions request and add our Weave decorator (op). Here, we define the function `prompt_endpont_and_log_trace`. This function has three primary steps: + 1. We make a completion object using the `GPT 4o Audio Preview` model that supports text and audio inputs and outputs. - - We prompt the model to count to 13 slowly with varying accents. - - We set the completion to "stream". + + - We prompt the model to count to 13 slowly with varying accents. + - We set the completion to "stream". 2. We open a new output file to which the streamed data is writen chunk by chunk. 3. We return an open file handler to the audio file so Weave logs the audio data in the trace. + ```python SAMPLE_RATE = 22050 @@ -146,6 +153,7 @@ Run the following cell. The system and user prompt will be stored in a Weave tra After running the cell, click the link next to the "🍩" emoji to view your trace. + ```python from IPython.display import Audio, display @@ -160,15 +168,17 @@ display(Audio("output.wav", rate=SAMPLE_RATE, autoplay=True)) ``` # Advanced Usage: Realtime Audio API with Weave +
(Advanced) Realtime Audio API with Weave OpenAI's realtime API is a highly functional and reliable conversational API for building realtime audio and text assistants. Please note: + - Review the cells in [Microphone Configuration](#microphone-configuration) - Due to limitations of the Google Colab execution environment, **this must be run on your host machine** as a Jupyter Notebook. This cannot be ran in the browser. - - On MacOS you will need to install `portaudio` via Brew (see [here](https://formulae.brew.sh/formula/portaudio)) for Pyaudio to function. + - On MacOS you will need to install `portaudio` via Brew (see [here](https://formulae.brew.sh/formula/portaudio)) for Pyaudio to function. - OpenAI's Python SDK does not yet provide Realtime API support. We implement the complete OAI Realtime API schema in Pydantic for greater legibility, and may deprecate once official support is released. - The `enable_audio_playback` toggle will cause playback of assistant outputted audio. Please note that **headphones are required if this is enabled**, as echo detection requires a highly complex implementation. @@ -176,6 +186,7 @@ Please note: ## Requirements Setup + ```python %%capture !pip install numpy==2.0 @@ -195,7 +206,7 @@ import os import threading import time import wave -from typing import Dict, List, Optional +from typing import Optional import numpy as np import pyaudio @@ -219,6 +230,7 @@ _ = set_env("WANDB_API_KEY") Run the following cell to find all available audio devices. Then, populate the `INPUT_DEVICE_INDEX` and the `OUTPUT_DEVICE_INDEX` based on the devices listed. Your input device will have at least 1 input channels, and your output device will have at least 1 output channels. + ```python # Get device list from pyaudio so we can configure the next cell p = pyaudio.PyAudio() @@ -259,9 +271,10 @@ The OpenAI Python SDK does not yet provide Realtime API support. We implement th Pydantic Schema for OpenAI Realtime API (OpenAI's SDK lacks Realtime API support) + ```python from enum import Enum -from typing import Any, Dict, List, Literal, Optional, Union +from typing import Any, Literal, Optional, Union from pydantic import BaseModel, Field, ValidationError @@ -315,8 +328,8 @@ class ToolParameterProperty(BaseModel): class ToolParameter(BaseModel): type: str - properties: Dict[str, ToolParameterProperty] - required: List[str] + properties: dict[str, ToolParameterProperty] + required: list[str] class Tool(BaseModel): @@ -327,14 +340,14 @@ class Tool(BaseModel): class Session(BaseModel): - modalities: Optional[List[str]] = None + modalities: Optional[list[str]] = None instructions: Optional[str] = None voice: Optional[str] = None input_audio_format: Optional[str] = None output_audio_format: Optional[str] = None input_audio_transcription: Optional[InputAudioTranscription] = None turn_detection: Optional[TurnDetection] = None - tools: Optional[List[Tool]] = None + tools: Optional[list[Tool]] = None tool_choice: Optional[str] = None temperature: Optional[float] = None max_output_tokens: Optional[int] = None @@ -393,7 +406,7 @@ class ConversationItem(BaseModel): type: Literal["message", "function_call", "function_call_output"] status: Optional[Literal["completed", "in_progress", "incomplete"]] = None role: Literal["user", "assistant", "system"] - content: List[ + content: list[ Union[ConversationItemContent, FunctionCallContent, FunctionCallOutputContent] ] call_id: Optional[str] = None @@ -545,7 +558,7 @@ class ConversationItemInputAudioTranscriptionFailed(BaseEvent): ] = ServerEventTypes.CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_FAILED item_id: str content_index: int - error: Dict[str, Any] + error: dict[str, Any] class ConversationItemTruncated(BaseEvent): @@ -569,8 +582,8 @@ class ResponseUsage(BaseModel): total_tokens: int input_tokens: int output_tokens: int - input_token_details: Optional[Dict[str, int]] = None - output_token_details: Optional[Dict[str, int]] = None + input_token_details: Optional[dict[str, int]] = None + output_token_details: Optional[dict[str, int]] = None class ResponseOutput(BaseModel): @@ -579,7 +592,7 @@ class ResponseOutput(BaseModel): type: str status: str role: str - content: List[Dict[str, Any]] + content: list[dict[str, Any]] class ResponseContentPart(BaseModel): @@ -603,7 +616,7 @@ class ResponseOutputItem(BaseModel): type: str status: str role: str - content: List[ResponseOutputItemContent] + content: list[ResponseOutputItemContent] class Response(BaseModel): @@ -611,7 +624,7 @@ class Response(BaseModel): object: Literal["realtime.response"] status: str status_details: Optional[ResponseStatusDetails] = None - output: List[ResponseOutput] + output: list[ResponseOutput] usage: Optional[ResponseUsage] @@ -788,7 +801,7 @@ class RateLimitsUpdated(BaseEvent): type: Literal[ServerEventTypes.RATE_LIMITS_UPDATED] = ( ServerEventTypes.RATE_LIMITS_UPDATED ) - rate_limits: List[RateLimit] + rate_limits: list[RateLimit] ServerEvent = Union[ @@ -866,9 +879,11 @@ def parse_server_event(event_data: dict) -> ServerEvent:
+ ## Audio Stream Writer (To Disk and In Memory) + ```python class StreamingWavWriter: """Writes audio integer or byte array chunks to a WAV file.""" @@ -915,24 +930,25 @@ class StreamingWavWriter: The realtime (RT) audio model uses a websocket to send events to OpenAI's Realtime audio API. This works as follows: -1. __init:__ We initialize local buffers (input audio) and streams (assistant playback stream, user audio disk writer stream) and open a connection to the Realtime API. -2. __receive_messages_thread__: A thread handles receiving messages from the API. Four primary event types are handled: - - RESPONSE_AUDIO_TRANSCRIPT_DONE: +1. **init:** We initialize local buffers (input audio) and streams (assistant playback stream, user audio disk writer stream) and open a connection to the Realtime API. +2. **receive_messages_thread**: A thread handles receiving messages from the API. Four primary event types are handled: - RESPONSE_AUDIO_TRANSCRIPT_DONE: + + The server indicates the assistant's response is completed and provides the transcript. + + - CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_COMPLETED: - The server indicates the assistant's response is completed and provides the transcript. + The server indicates the user's audio has been transcribed, and sends the transcript of the user's audio. We log the transcript to Weave and print it for the user. - - CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_COMPLETED: - - The server indicates the user's audio has been transcribed, and sends the transcript of the user's audio. We log the transcript to Weave and print it for the user. + - RESPONSE_AUDIO_DELTA: - - RESPONSE_AUDIO_DELTA: - - The server sends a new chunk of assistant response audio. We append this to the ongoing response data via the response ID, and add this to the output stream for playback. + The server sends a new chunk of assistant response audio. We append this to the ongoing response data via the response ID, and add this to the output stream for playback. + + - RESPONSE_DONE: + + The server indicates completion of an assistant response. We get all audio chunks associated with the response, as well as the transcript, and log these in Weave. + + 3.**send_audio**: A handler appends user audio chunks to a buffer, and sends chunks of audio when the audio buffer reaches a certain size. - - RESPONSE_DONE: - - The server indicates completion of an assistant response. We get all audio chunks associated with the response, as well as the transcript, and log these in Weave. -3.__send_audio__: A handler appends user audio chunks to a buffer, and sends chunks of audio when the audio buffer reaches a certain size. ```python @@ -948,7 +964,7 @@ class RTAudioModel(weave.Model): None # Stream for writing user output to file ) input_audio_buffer: Optional[np.ndarray] = None # Buffer for user audio chunks - assistant_outputs: Dict[str, StreamingWavWriter] = ( + assistant_outputs: dict[str, StreamingWavWriter] = ( None # Assistant outputs aggregated to send to weave ) playback_stream: Optional[pyaudio.Stream] = ( @@ -1134,6 +1150,7 @@ class RTAudioModel(weave.Model): We use a pyaudio input stream with a handler linked to the `send_audio` method of the RTAudio model. The stream is returned to the main thread so it can be safely exited upon program completion. + ```python # Audio capture stream def record_audio(realtime_model: RTAudioModel) -> pyaudio.Stream: @@ -1164,6 +1181,7 @@ def record_audio(realtime_model: RTAudioModel) -> pyaudio.Stream: The main thread initiates a Realtime Audio Model with Weave integrated. Next, a reccording is opened and we wait for a keyboard interrupt from the user. + ```python weave.init(project_name="realtime-oai-audio-testing") @@ -1194,5 +1212,5 @@ else: ) ``` - + diff --git a/docs/docs/reference/gen_notebooks/notdiamond_custom_routing.md b/docs/docs/reference/gen_notebooks/notdiamond_custom_routing.md new file mode 100644 index 000000000000..c590adc1627e --- /dev/null +++ b/docs/docs/reference/gen_notebooks/notdiamond_custom_routing.md @@ -0,0 +1,229 @@ + +## title: NotDiamond Custom Routing + + + +:::tip[This is a notebook] + +
Open In Colab
Open in Colab
 + +
View in Github
View in Github
 + +::: + + +## + + + +# Custom Routing for LLM Prompts with Not Diamond + +This notebook demonstrates how to use Weave with [Not Diamond's custom routing](https://docs.notdiamond.ai/docs/router-training-quickstart) to route LLM prompts to the most appropriate model based on evaluation results. + +## Routing prompts + +When building complex LLM workflows users may need to prompt different models according to accuracy, cost, or call latency. +Users can use [Not Diamond](https://www.notdiamond.ai/) to route prompts in these workflows to the right model for their needs, helping maximize accuracy while saving on model costs. + +For any given distribution of data, rarely will one single model outperform every other model on every single query. By combining together multiple models into a "meta-model" that learns when to call each LLM, you can beat every individual model's performance and even drive down costs and latency in the process. + +## Custom routing + +You need three things to train a custom router for your prompts: + +1. A set of LLM prompts: Prompts must be strings and should be representative of the prompts used in our application. +1. LLM responses: The responses from candidate LLMs for each input. Candidate LLMs can include both our supported LLMs and your own custom models. +1. Evaluation scores for responses to the inputs from candidate LLMs: Scores are numbers, and can be any metric that fit your needs. + +By submitting these to the Not Diamond API you can then train a custom router tuned to each of your workflows. + + +## Setting up the training data + +In practice, you will use your own Evaluations to train a custom router. For this example notebook, however, you will use LLM responses +for [the HumanEval dataset](https://github.com/openai/human-eval) to train a custom router for coding tasks. + +We start by downloading the dataset we have prepared for this example, then parsing LLM responses into EvaluationResults for each model. + + + +```python +!curl -L "https://drive.google.com/uc?export=download&id=1q1zNZHioy9B7M-WRjsJPkfvFosfaHX38" -o humaneval.csv +``` + + +```python +import random + +import weave +from weave.flow.dataset import Dataset +from weave.flow.eval import EvaluationResults +from weave.integrations.notdiamond.util import get_model_evals + +pct_train = 0.8 +pct_test = 1 - pct_train + +# In practice, you will build an Evaluation on your dataset and call +# `evaluation.get_eval_results(model)` +model_evals = get_model_evals("./humaneval.csv") +model_train = {} +model_test = {} +for model, evaluation_results in model_evals.items(): + n_results = len(evaluation_results.rows) + all_idxs = list(range(n_results)) + train_idxs = random.sample(all_idxs, k=int(n_results * pct_train)) + test_idxs = [idx for idx in all_idxs if idx not in train_idxs] + + model_train[model] = EvaluationResults( + rows=weave.Table([evaluation_results.rows[idx] for idx in train_idxs]) + ) + model_test[model] = Dataset( + rows=weave.Table([evaluation_results.rows[idx] for idx in test_idxs]) + ) + print( + f"Found {len(train_idxs)} train rows and {len(test_idxs)} test rows for {model}." + ) +``` + +## Training a custom router + +Now that you have EvaluationResults, you can train a custom router. Make sure you have [created an account](https://app.notdiamond.ai/keys) and +[generated an API key](https://app.notdiamond.ai/keys), then insert your API key below. + +![Create an API key](/../docs/guides/integrations/imgs/notdiamond/api-keys.png) + + + +```python +import os + +from weave.integrations.notdiamond.custom_router import train_router + +api_key = os.getenv("NOTDIAMOND_API_KEY", "") + +preference_id = train_router( + model_evals=model_train, + prompt_column="prompt", + response_column="actual", + language="en", + maximize=True, + api_key=api_key, + # Leave this commented out to train your first custom router + # Uncomment this to retrain your custom router in place + # preference_id=preference_id, +) +``` + +You can then follow the training process for your custom router via the Not Diamond app. + +![Check on router training progress](/../docs/guides/integrations/imgs/notdiamond/router-preferences.png) + + +Once your custom router has finished training, you can use it to route your prompts. + + + +```python +from notdiamond import NotDiamond + +import weave + +weave.init("notdiamond-quickstart") + +llm_configs = [ + "anthropic/claude-3-5-sonnet-20240620", + "openai/gpt-4o-2024-05-13", + "google/gemini-1.5-pro-latest", + "openai/gpt-4-turbo-2024-04-09", + "anthropic/claude-3-opus-20240229", +] +client = NotDiamond(api_key=api_key, llm_configs=llm_configs) + +new_prompt = ( + """ +You are a helpful coding assistant. Using the provided function signature, write the implementation for the function +in Python. Write only the function. Do not include any other text. + +from typing import List + + +def has_close_elements(numbers: List[float], threshold: float) -> bool: + """ + """ Check if in given list of numbers, are any two numbers closer to each other than + given threshold. + >>> has_close_elements([1.0, 2.0, 3.0], 0.5) + False + >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3) + True + """ + """ +""" +) +session_id, routing_target_model = client.model_select( + messages=[{"role": "user", "content": new_prompt}], + preference_id=preference_id, +) + +print(f"Session ID: {session_id}") +print(f"Target Model: {routing_target_model}") +``` + +This example also used Not Diamond's compatibility with Weave auto-tracing. You can see the results in the Weave UI. + +![Weave UI for custom routing](/../docs/guides/integrations/imgs/notdiamond/weave-trace.png) + + +## Evaluating your custom router + +Once you have trained your custom router, you can evaluate either its + +- in-sample performance by submitting the training prompts, or +- out-of-sample performance by submitting new or held-out prompts + +Below, we submit the test set to the custom router to evaluate its performance. + + + +```python +from weave.integrations.notdiamond.custom_router import evaluate_router + +eval_prompt_column = "prompt" +eval_response_column = "actual" + +best_provider_model, nd_model = evaluate_router( + model_datasets=model_test, + prompt_column=eval_prompt_column, + response_column=eval_response_column, + api_key=api_key, + preference_id=preference_id, +) +``` + + +```python +@weave.op() +def is_correct(score: int, model_output: dict) -> dict: + # We hack score, since we already have model responses + return {"correct": score} + + +best_provider_eval = weave.Evaluation( + dataset=best_provider_model.model_results.to_dict(orient="records"), + scorers=[is_correct], +) +await best_provider_eval.evaluate(best_provider_model) + +nd_eval = weave.Evaluation( + dataset=nd_model.model_results.to_dict(orient="records"), scorers=[is_correct] +) +await nd_eval.evaluate(nd_model) +``` + +In this instance, the Not Diamond "meta-model" routes prompts across several different models. + +Training the custom router via Weave will also run evaluations and upload results to the Weave UI. Once the custom router process is completed, you can review the results in the Weave UI. + +In the UI we see that the Not Diamond "meta-model" outperforms the best-performing model by routing prompts to other models with higher likelihood of answering the prompt accurately. + +![Evaluating Not Diamond](/../docs/guides/integrations/imgs/notdiamond/evaluations.png) + diff --git a/docs/docs/reference/gen_notebooks/online_monitoring.md b/docs/docs/reference/gen_notebooks/online_monitoring.md index 4f50c51e3a54..8d5a7323a06b 100644 --- a/docs/docs/reference/gen_notebooks/online_monitoring.md +++ b/docs/docs/reference/gen_notebooks/online_monitoring.md @@ -1,6 +1,6 @@ ---- -title: Integrating with Weave - Production Dashboard ---- + +## title: Integrating with Weave - Production Dashboard + :::tip[This is a notebook] @@ -12,37 +12,46 @@ title: Integrating with Weave - Production Dashboard ::: - +## + # Integrating with Weave: Production Dashboard The GenAI tooling landscape is rapidly evolving - new frameworks, tools, and applications are emerging all the time. Weave aims to be a one-stop-shop for all your GenAI monitoring and evaluation needs. This also means that sometimes it is necessary to integrate with existing platforms or extend Weave to fit the specific needs of your project or organization. In this cookbook, we'll demonstrate how to leverage Weave's powerful APIs and functions to create a custom dashboard for production monitoring as an extension to the Traces view in Weave. We'll focus on: -* Fetching traces, costs, feedback, and other metrics from Weave -* Creating aggregate views for user feedback and cost distribution -* Creating visualizations for token usage and latency over time + +- Fetching traces, costs, feedback, and other metrics from Weave +- Creating aggregate views for user feedback and cost distribution +- Creating visualizations for token usage and latency over time You can try out the dashboard with your own Weave project by installing streamlit and running [this production dashboard script](https://github.com/NiWaRe/agent-dev-collection)! + Example Production Dashboard with Weave + # 1. Setup + To follow along this tutorial you'll only need to install the following packages: + ```python !pip install streamlit pandas plotly weave ``` # 2. Implementation + ## 2.1 Initializing Weave Client and Defining Costs -First, we'll set up a function to initialize the Weave client and add costs for each model. -* We have included the standard costs for many standard models but we also make it easy to add your own custom costs and custom models. In the following we'll show how to add custom costs for a few models and use the standard costs for the rest. -* The costs are calculate based on the tracked tokens for each call in Weave. For many LLM vendor libraries, we will automatically track the token usage, but it is also possible to return custom token counts for any call. See this cookbook on how to define the token count and cost calculation for a custom model - [custom cost cookbook](https://weave-docs.wandb.ai/reference/gen_notebooks/custom_model_cost#setting-up-a-model-with-weave). +First, we'll set up a function to initialize the Weave client and add costs for each model. + +- We have included the standard costs for many standard models but we also make it easy to add your own custom costs and custom models. In the following we'll show how to add custom costs for a few models and use the standard costs for the rest. +- The costs are calculate based on the tracked tokens for each call in Weave. For many LLM vendor libraries, we will automatically track the token usage, but it is also possible to return custom token counts for any call. See this cookbook on how to define the token count and cost calculation for a custom model - [custom cost cookbook](https://weave-docs.wandb.ai/reference/gen_notebooks/custom_model_cost#setting-up-a-model-with-weave). + ```python @@ -74,29 +83,34 @@ def init_weave_client(project_name): prompt_token_cost=prompt_cost, completion_token_cost=completion_cost, ) - return client except Exception as e: print(f"Failed to initialize Weave client for project '{project_name}': {e}") return None + else: + return client client = init_weave_client(PROJECT_NAME) ``` ## 2.2 Fetching Calls Data from Weave + In order to fetch call data from Weave, we have two options: + 1. Fetching Data call-by-call 2. Using high-level APIs ### 2.2.1 Fetching Data call-by-call + The first option to access data from Weave is to retrieve a list of filtered calls and extract the wanted data call-by-call. For that we can use the `calls_query_stream` API to fetch the calls data from Weave: -* `calls_query_stream` API: This API allows us to fetch the calls data from Weave. -* `filter` dictionary: This dictionary contains the filter parameters to fetch the calls data - see [here](https://weave-docs.wandb.ai/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface/#class-callschema) for more details. -* `expand_columns` list: This list contains the columns to expand in the calls data. -* `sort_by` list: This list contains the sorting parameters for the calls data. -* `include_costs` boolean: This boolean indicates whether to include the costs in the calls data. -* `include_feedback` boolean: This boolean indicates whether to include the feedback in the calls data. +- `calls_query_stream` API: This API allows us to fetch the calls data from Weave. +- `filter` dictionary: This dictionary contains the filter parameters to fetch the calls data - see [here](https://weave-docs.wandb.ai/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface/#class-callschema) for more details. +- `expand_columns` list: This list contains the columns to expand in the calls data. +- `sort_by` list: This list contains the sorting parameters for the calls data. +- `include_costs` boolean: This boolean indicates whether to include the costs in the calls data. +- `include_feedback` boolean: This boolean indicates whether to include the feedback in the calls data. + ```python @@ -121,10 +135,11 @@ def fetch_calls(client, project_id, start_time, trace_roots_only, limit): itertools.islice(calls_stream, limit) ) # limit the number of calls to fetch if too many print(f"Fetched {len(calls)} calls.") - return calls except Exception as e: print(f"Error fetching calls: {e}") return [] + else: + return calls calls = fetch_calls(client, PROJECT_NAME, datetime.now() - timedelta(days=1), True, 100) @@ -136,7 +151,8 @@ calls = fetch_calls(client, PROJECT_NAME, datetime.now() - timedelta(days=1), Tr pd.DataFrame([call.dict() for call in calls]).head(3) ``` -Processing the calls is very easy with the return from Weave - we'll extract the relevant information and store it in a list of dictionaries. We'll then convert the list of dictionaries to a pandas DataFrame and return it. +Processing the calls is very easy with the return from Weave - we'll extract the relevant information and store it in a list of dictionaries. We'll then convert the list of dictionaries to a pandas DataFrame and return it. + ```python @@ -185,10 +201,12 @@ df_calls.head(3) ``` ### 2.2.2 Using high-level APIs -Instead of goin through every call Weave also provides high-level APIs to directly access model costs, feedback, and other metrics. + +Instead of goin through every call Weave also provides high-level APIs to directly access model costs, feedback, and other metrics. For example, for the cost, we'll use the `query_costs` API to fetch the costs of all used LLMs using in project: + ```python # Use cost API to get costs costs = client.query_costs() @@ -202,9 +220,11 @@ df_costs ``` ## 2.4 Gathering inputs and generating visualizations + Next, we can generate the visualizations using plotly. This is the most basic dashboard, but you can customize it as you like! For a more complex example, check out a Streamlit example [here](https://github.com/NiWaRe/knowledge-worker-weave/blob/master/prod_dashboard.py). + ```python import plotly.express as px import plotly.graph_objects as go @@ -216,7 +236,7 @@ def plot_feedback_pie_chart(thumbs_up, thumbs_down): go.Pie( labels=["Thumbs Up", "Thumbs Down"], values=[thumbs_up, thumbs_down], - marker=dict(colors=["#66b3ff", "#ff9999"]), + marker={"colors": ["#66b3ff", "#ff9999"]}, hole=0.3, ) ] @@ -252,13 +272,15 @@ plot_model_cost_distribution(df_costs) ``` # Conclusion + In this cookbook, we demonstrated how to create a custom production monitoring dashboard using Weave's APIs and functions. Weave currently focuses on fast integrations for easy input of data as well as extraction of the data for custom processes. -* **Data Input:** - * Framework-agnostic tracing with [@weave-op()](https://weave-docs.wandb.ai/quickstart#2-log-a-trace-to-a-new-project) decorator and the possibility to import calls from CSV (see related [import cookbook](https://weave-docs.wandb.ai/reference/gen_notebooks/import_from_csv)) - * Service API endpoints to log to Weave from for various programming frameworks and languages, see [here](https://weave-docs.wandb.ai/reference/service-api/call-start-call-start-post) for more details. -* **Data Output:** - * Easy download of the data in CSV, TSV, JSONL, JSON formats - see [here](https://weave-docs.wandb.ai/guides/tracking/tracing#querying--exporting-calls) for more details. - * Easy export using programmatic access to the data - see "Use Python" section in the export panel as described in this cookbook. See [here](https://weave-docs.wandb.ai/guides/tracking/tracing#querying--exporting-calls) for more details. +- **Data Input:** + - Framework-agnostic tracing with [@weave-op()](https://weave-docs.wandb.ai/quickstart#2-log-a-trace-to-a-new-project) decorator and the possibility to import calls from CSV (see related [import cookbook](https://weave-docs.wandb.ai/reference/gen_notebooks/import_from_csv)) + - Service API endpoints to log to Weave from for various programming frameworks and languages, see [here](https://weave-docs.wandb.ai/reference/service-api/call-start-call-start-post) for more details. +- **Data Output:** + - Easy download of the data in CSV, TSV, JSONL, JSON formats - see [here](https://weave-docs.wandb.ai/guides/tracking/tracing#querying--exporting-calls) for more details. + - Easy export using programmatic access to the data - see "Use Python" section in the export panel as described in this cookbook. See [here](https://weave-docs.wandb.ai/guides/tracking/tracing#querying--exporting-calls) for more details. This custom dashboard extends Weave's native Traces view, allowing for tailored monitoring of LLM applications in production. If you're interested in viewing a more complex dashboard, check out a Streamlit example where you can add your own Weave project URL [in this repo](https://github.com/NiWaRe/agent-dev-collection). + diff --git a/docs/docs/reference/gen_notebooks/weave_via_service_api.md b/docs/docs/reference/gen_notebooks/weave_via_service_api.md index 5081e8923b46..af8a27b2f060 100644 --- a/docs/docs/reference/gen_notebooks/weave_via_service_api.md +++ b/docs/docs/reference/gen_notebooks/weave_via_service_api.md @@ -1,9 +1,6 @@ ---- -title: Use the Service API to Log and Query Traces ---- -:::note[This is a notebook] +:::tip[This is a notebook]
Open In Colab
Open in Colab
 @@ -11,17 +8,18 @@ title: Use the Service API to Log and Query Traces ::: - -In the following notebook, you will learn how to use the Weave Service API to log traces. Specifically, you will use the Service API to: +# Use the Service API to Log and Query Traces + +In the following guide, you will learn how to use the Weave Service API to log traces. Specifically, you will use the Service API to: 1. [Create a mock of a simple LLM call and response, and log it to Weave.](#simple-trace) 2. [Create a mock of a more complex LLM call and response, and log it to Weave.](#complex-trace) 3. [Run a sample lookup query on the logged traces.](#run-a-lookup-query) -:::tip[View logged traces] -You can view all of the Weave traces created when you run the code in this guide by going to the **Traces** tab in your Weave project (specified by `team_id\project_id`), and selecting the name of the trace. -::: +> **View logged traces** +> +> You can view all of the Weave traces created when you run the code in this guide by going to the **Traces** tab in your Weave project (specified by `team_id\project_id`), and selecting the name of the trace. Before beginning, complete the [prerequisites](#prerequisites-set-variables-and-endpoints) @@ -43,6 +41,7 @@ Additionally, you must set the following variables: ```python import datetime import json + import requests # Headers and URLs @@ -52,9 +51,9 @@ url_end = "https://trace.wandb.ai/call/end" url_stream_query = "https://trace.wandb.ai/calls/stream_query" # W&B variables -team_id="" -project_id="" -wandb_token="" +team_id = "" +project_id = "" +wandb_token = "" ``` ## Simple trace @@ -79,30 +78,30 @@ Call started. ID: 01939cdc-38d2-7d61-940d-dcca0a56c575, Trace ID: 01939cdc-38d2- ## Start trace ## ------------ payload_start = { - "start": { - "project_id": f"{team_id}/{project_id}", - "op_name": "simple_trace", - "started_at": datetime.datetime.now().isoformat(), - "inputs": { - # Use this "messages" style to generate the chat UI in the expanded trace. - "messages": [{"role":"user","content":"Why is the sky blue?"}], - "model": "gpt-4o" - }, - "attributes": {}, - } + "start": { + "project_id": f"{team_id}/{project_id}", + "op_name": "simple_trace", + "started_at": datetime.datetime.now().isoformat(), + "inputs": { + # Use this "messages" style to generate the chat UI in the expanded trace. + "messages": [{"role": "user", "content": "Why is the sky blue?"}], + "model": "gpt-4o", + }, + "attributes": {}, + } } response = requests.post( - url_start, headers=headers, json=payload_start, auth=("api", wandb_token) + url_start, headers=headers, json=payload_start, auth=("api", wandb_token) ) if response.status_code == 200: - data = response.json() - call_id = data.get("id") - trace_id = data.get("trace_id") - print(f"Call started. ID: {call_id}, Trace ID: {trace_id}") + data = response.json() + call_id = data.get("id") + trace_id = data.get("trace_id") + print(f"Call started. ID: {call_id}, Trace ID: {trace_id}") else: - print("Start request failed with status:", response.status_code) - print(response.text) - exit() + print("Start request failed with status:", response.status_code) + print(response.text) + exit() ``` ### End a simple trace @@ -121,37 +120,41 @@ Call ended. ## End trace ## ------------ payload_end = { - "end": { - "project_id": f"{team_id}/{project_id}", - "id": call_id, - "ended_at": datetime.datetime.now().isoformat(), - "output": { - # Use this "choices" style to add the completion to the chat UI in the expanded trace. - "choices": [ - {"message": {"content": "It’s due to Rayleigh scattering, where shorter blue wavelengths of sunlight scatter in all directions."}}, - ] - }, - # Format the summary like this to generate the pricing summary information in the traces table. - "summary": { - "usage": { - "gpt-4o": { - "prompt_tokens": 10, - "completion_tokens": 20, - "total_tokens": 30, - "requests": 1, - } - } - }, - } + "end": { + "project_id": f"{team_id}/{project_id}", + "id": call_id, + "ended_at": datetime.datetime.now().isoformat(), + "output": { + # Use this "choices" style to add the completion to the chat UI in the expanded trace. + "choices": [ + { + "message": { + "content": "It’s due to Rayleigh scattering, where shorter blue wavelengths of sunlight scatter in all directions." + } + }, + ] + }, + # Format the summary like this to generate the pricing summary information in the traces table. + "summary": { + "usage": { + "gpt-4o": { + "prompt_tokens": 10, + "completion_tokens": 20, + "total_tokens": 30, + "requests": 1, + } + } + }, + } } response = requests.post( - url_end, headers=headers, json=payload_end, auth=("api", wandb_token) + url_end, headers=headers, json=payload_end, auth=("api", wandb_token) ) if response.status_code == 200: - print("Call ended.") + print("Call ended.") else: - print("End request failed with status:", response.status_code) - print(response.text) + print("End request failed with status:", response.status_code) + print(response.text) ``` ## Complex trace @@ -182,28 +185,26 @@ Parent call started. ID: 01939d26-0844-7c43-94bb-cdc471b6d65f, Trace ID: 01939d2 # Parent call: Start payload_parent_start = { - "start": { - "project_id": f"{team_id}/{project_id}", - "op_name": "complex_trace", - "started_at": datetime.datetime.now().isoformat(), - "inputs": { - "question": "Can you summarize the key points of this document?" - }, - "attributes": {}, - } + "start": { + "project_id": f"{team_id}/{project_id}", + "op_name": "complex_trace", + "started_at": datetime.datetime.now().isoformat(), + "inputs": {"question": "Can you summarize the key points of this document?"}, + "attributes": {}, + } } response = requests.post( - url_start, headers=headers, json=payload_parent_start, auth=("api", wandb_token) + url_start, headers=headers, json=payload_parent_start, auth=("api", wandb_token) ) if response.status_code == 200: - data = response.json() - parent_call_id = data.get("id") - trace_id = data.get("trace_id") - print(f"Parent call started. ID: {parent_call_id}, Trace ID: {trace_id}") + data = response.json() + parent_call_id = data.get("id") + trace_id = data.get("trace_id") + print(f"Parent call started. ID: {parent_call_id}, Trace ID: {trace_id}") else: - print("Parent start request failed with status:", response.status_code) - print(response.text) - exit() + print("Parent start request failed with status:", response.status_code) + print(response.text) + exit() ``` ### Add a child span to a complex trace: RAG document lookup @@ -232,50 +233,50 @@ Child call ended. # Child call: Start payload_child_start = { - "start": { - "project_id": f"{team_id}/{project_id}", - "op_name": "rag_document_lookup", - "trace_id": trace_id, - "parent_id": parent_call_id, - "started_at": datetime.datetime.now().isoformat(), - "inputs": { - "document_search": "This is a search query of the documents I'm looking for." - }, - "attributes": {}, - } + "start": { + "project_id": f"{team_id}/{project_id}", + "op_name": "rag_document_lookup", + "trace_id": trace_id, + "parent_id": parent_call_id, + "started_at": datetime.datetime.now().isoformat(), + "inputs": { + "document_search": "This is a search query of the documents I'm looking for." + }, + "attributes": {}, + } } response = requests.post( - url_start, headers=headers, json=payload_child_start, auth=("api", wandb_token) + url_start, headers=headers, json=payload_child_start, auth=("api", wandb_token) ) if response.status_code == 200: - data = response.json() - child_call_id = data.get("id") - print(f"Child call started. ID: {child_call_id}") + data = response.json() + child_call_id = data.get("id") + print(f"Child call started. ID: {child_call_id}") else: - print("Child start request failed with status:", response.status_code) - print(response.text) - exit() + print("Child start request failed with status:", response.status_code) + print(response.text) + exit() # Child call: End payload_child_end = { - "end": { - "project_id": f"{team_id}/{project_id}", - "id": child_call_id, - "ended_at": datetime.datetime.now().isoformat(), - "output": { - "document_results": "This will be the RAG'd document text which will be returned from the search query." - }, - "summary": {}, - } + "end": { + "project_id": f"{team_id}/{project_id}", + "id": child_call_id, + "ended_at": datetime.datetime.now().isoformat(), + "output": { + "document_results": "This will be the RAG'd document text which will be returned from the search query." + }, + "summary": {}, + } } response = requests.post( - url_end, headers=headers, json=payload_child_end, auth=("api", wandb_token) + url_end, headers=headers, json=payload_child_end, auth=("api", wandb_token) ) if response.status_code == 200: - print("Child call ended.") + print("Child call ended.") else: - print("Child end request failed with status:", response.status_code) - print(response.text) + print("Child end request failed with status:", response.status_code) + print(response.text) ``` ### Add a child span to a complex trace: LLM completion call @@ -312,62 +313,67 @@ Child call ended. # Child call: Start payload_child_start = { - "start": { - "project_id": f"{team_id}/{project_id}", - "op_name": "llm_completion", - "trace_id": trace_id, - "parent_id": parent_call_id, - "started_at": datetime.datetime.now().isoformat(), - "inputs": { - "messages": [{"role":"user","content":"With the following document context, could you help me answer:\n Can you summarize the key points of this document?\n [+ appended document context]"}], - "model": "gpt-4o" - }, - "attributes": {}, - } + "start": { + "project_id": f"{team_id}/{project_id}", + "op_name": "llm_completion", + "trace_id": trace_id, + "parent_id": parent_call_id, + "started_at": datetime.datetime.now().isoformat(), + "inputs": { + "messages": [ + { + "role": "user", + "content": "With the following document context, could you help me answer:\n Can you summarize the key points of this document?\n [+ appended document context]", + } + ], + "model": "gpt-4o", + }, + "attributes": {}, + } } response = requests.post( - url_start, headers=headers, json=payload_child_start, auth=("api", wandb_token) + url_start, headers=headers, json=payload_child_start, auth=("api", wandb_token) ) if response.status_code == 200: - data = response.json() - child_call_id = data.get("id") - print(f"Child call started. ID: {child_call_id}") + data = response.json() + child_call_id = data.get("id") + print(f"Child call started. ID: {child_call_id}") else: - print("Child start request failed with status:", response.status_code) - print(response.text) - exit() + print("Child start request failed with status:", response.status_code) + print(response.text) + exit() # Child call: End payload_child_end = { - "end": { - "project_id": f"{team_id}/{project_id}", - "id": child_call_id, - "ended_at": datetime.datetime.now().isoformat(), - "output": { - "choices": [ - {"message": {"content": "This is the response generated by the LLM."}}, - ] - }, - "summary": { - "usage": { - "gpt-4o": { - "prompt_tokens": 10, - "completion_tokens": 20, - "total_tokens": 30, - "requests": 1, - } - } - }, - } + "end": { + "project_id": f"{team_id}/{project_id}", + "id": child_call_id, + "ended_at": datetime.datetime.now().isoformat(), + "output": { + "choices": [ + {"message": {"content": "This is the response generated by the LLM."}}, + ] + }, + "summary": { + "usage": { + "gpt-4o": { + "prompt_tokens": 10, + "completion_tokens": 20, + "total_tokens": 30, + "requests": 1, + } + } + }, + } } response = requests.post( - url_end, headers=headers, json=payload_child_end, auth=("api", wandb_token) + url_end, headers=headers, json=payload_child_end, auth=("api", wandb_token) ) if response.status_code == 200: - print("Child call ended.") + print("Child call ended.") else: - print("Child end request failed with status:", response.status_code) - print(response.text) + print("Child end request failed with status:", response.status_code) + print(response.text) ``` ### End a complex trace @@ -397,35 +403,35 @@ Parent call ended. # Parent call: End payload_parent_end = { - "end": { - "project_id": f"{team_id}/{project_id}", - "id": parent_call_id, - "ended_at": datetime.datetime.now().isoformat(), - "output": { - "choices": [ - {"message": {"content": "This is the response generated by the LLM."}}, - ] - }, - "summary": { - "usage": { - "gpt-4o": { - "prompt_tokens": 10, - "completion_tokens": 20, - "total_tokens": 30, - "requests": 1, - } - } - }, - } + "end": { + "project_id": f"{team_id}/{project_id}", + "id": parent_call_id, + "ended_at": datetime.datetime.now().isoformat(), + "output": { + "choices": [ + {"message": {"content": "This is the response generated by the LLM."}}, + ] + }, + "summary": { + "usage": { + "gpt-4o": { + "prompt_tokens": 10, + "completion_tokens": 20, + "total_tokens": 30, + "requests": 1, + } + } + }, + } } response = requests.post( - url_end, headers=headers, json=payload_parent_end, auth=("api", wandb_token) + url_end, headers=headers, json=payload_parent_end, auth=("api", wandb_token) ) if response.status_code == 200: - print("Parent call ended.") + print("Parent call ended.") else: - print("Parent end request failed with status:", response.status_code) - print(response.text) + print("Parent end request failed with status:", response.status_code) + print(response.text) ``` ## Run a lookup query @@ -454,34 +460,29 @@ On a successful query, the response will include trace data matching the query p ```python query_payload = { - "project_id": f"{team_id}/{project_id}", - "filter": {"trace_roots_only": True}, - "query": { - "$expr": { - "$eq": [ - {"$getField": "inputs.model"}, - {"$literal": "gpt-4o"} - ] - } - }, - "limit": 10000, - "offset": 0, - "sort_by": [{"field": "started_at", "direction": "desc"}], - "include_feedback": False + "project_id": f"{team_id}/{project_id}", + "filter": {"trace_roots_only": True}, + "query": { + "$expr": {"$eq": [{"$getField": "inputs.model"}, {"$literal": "gpt-4o"}]} + }, + "limit": 10000, + "offset": 0, + "sort_by": [{"field": "started_at", "direction": "desc"}], + "include_feedback": False, } response = requests.post( - url_stream_query, headers=headers, json=query_payload, auth=("api", wandb_token) + url_stream_query, headers=headers, json=query_payload, auth=("api", wandb_token) ) if response.status_code == 200: - print("Query successful!") - try: - data = response.json() - print(data) - except json.JSONDecodeError as e: - # Alternate decode - json_objects = response.text.strip().split("\n") - parsed_data = [json.loads(obj) for obj in json_objects] - print(parsed_data) + print("Query successful!") + try: + data = response.json() + print(data) + except json.JSONDecodeError as e: + # Alternate decode + json_objects = response.text.strip().split("\n") + parsed_data = [json.loads(obj) for obj in json_objects] + print(parsed_data) else: print(f"Query failed with status code: {response.status_code}") print(response.text) diff --git a/docs/docs/reference/python-sdk/weave/index.md b/docs/docs/reference/python-sdk/weave/index.md index d2c6a0f036db..a8ff34e7d760 100644 --- a/docs/docs/reference/python-sdk/weave/index.md +++ b/docs/docs/reference/python-sdk/weave/index.md @@ -19,8 +19,11 @@ The top-level functions and classes for working with Weave. - [`obj.Object`](#class-object) - [`dataset.Dataset`](#class-dataset): Dataset object with easy saving and automatic versioning - [`model.Model`](#class-model): Intended to capture a combination of code and data the operates on an input. +- [`prompt.Prompt`](#class-prompt) +- [`prompt.StringPrompt`](#class-stringprompt) +- [`prompt.MessagesPrompt`](#class-messagesprompt) - [`eval.Evaluation`](#class-evaluation): Sets up an evaluation which includes a set of scorers and a dataset. -- [`scorer.Scorer`](#class-scorer) +- [`base_scorer.Scorer`](#class-scorer) ## Functions @@ -37,14 +40,15 @@ The top-level functions and classes for working with Weave. --- - + ### function `init` ```python init( - project_name: str, - settings: Optional[UserSettings, dict[str, Any]] = None + project_name: 'str', + settings: 'UserSettings | dict[str, Any] | None' = None, + autopatch_settings: 'AutopatchSettings | None' = None ) → WeaveClient ``` @@ -67,12 +71,12 @@ Following init, calls of weave.op() decorated functions will be logged to the sp --- - + ### function `publish` ```python -publish(obj: Any, name: Optional[str] = None) → ObjectRef +publish(obj: 'Any', name: 'str | None' = None) → ObjectRef ``` Save and version a python object. @@ -95,12 +99,12 @@ TODO: Need to document how name works with this change. --- - + ### function `ref` ```python -ref(location: str) → ObjectRef +ref(location: 'str') → ObjectRef ``` Construct a Ref to a Weave object. @@ -122,7 +126,7 @@ TODO: what happens if obj does not exist --- - + ### function `require_current_call` @@ -175,12 +179,12 @@ print(mycall.id) --- - + ### function `get_current_call` ```python -get_current_call() → Optional[ForwardRef('Call')] +get_current_call() → Call | None ``` Get the Call object for the currently executing Op, within that Op. @@ -192,7 +196,7 @@ Get the Call object for the currently executing Op, within that Op. --- - + ### function `finish` @@ -206,18 +210,19 @@ Following finish, calls of weave.op() decorated functions will no longer be logg --- - + ### function `op` ```python op( - func: Optional[Callable] = None, - name: Optional[str] = None, - call_display_name: Optional[str, Callable[[ForwardRef('Call')], str]] = None, - postprocess_inputs: Optional[Callable[[dict[str, Any]], dict[str, Any]]] = None, - postprocess_output: Optional[Callable[, Any]] = None -) → Union[Callable[[Any], Op], Op] + func: 'Callable | None' = None, + name: 'str | None' = None, + call_display_name: 'str | CallDisplayNameFunc | None' = None, + postprocess_inputs: 'PostprocessInputsFunc | None' = None, + postprocess_output: 'PostprocessOutputFunc | None' = None, + tracing_sample_rate: 'float' = 1.0 +) → Callable[[Callable], Op] | Op ``` A decorator to weave op-ify a function or method. Works for both sync and async. @@ -237,6 +242,7 @@ If you don't call `weave.init` then the function will behave as if it were not d - `call_display_name` (Optional[Union[str, Callable[["Call"], str]]]): Custom display name for the call in the Weave UI. Can be a string or a function that takes a Call object and returns a string. When a function is passed, it can use any attributes of the Call object (e.g. `op_name`, `trace_id`, etc.) to generate a custom display name. - `postprocess_inputs` (Optional[Callable[[dict[str, Any]], dict[str, Any]]]): A function to process the inputs after they've been captured but before they're logged. This does not affect the actual inputs passed to the function, only the displayed inputs. - `postprocess_output` (Optional[Callable[..., Any]]): A function to process the output after it's been returned from the function but before it's logged. This does not affect the actual output of the function, only the displayed output. + - `tracing_sample_rate` (float): The sampling rate for tracing this function. Defaults to 1.0 (always trace). @@ -252,7 +258,9 @@ If you don't call `weave.init` then the function will behave as if it were not d -Example usage: ```python +Example usage: + +```python import weave weave.init("my-project") @@ -271,12 +279,12 @@ await extract() # calls the function and tracks the call in the Weave UI --- - + ### function `attributes` ```python -attributes(attributes: dict[str, Any]) → Iterator +attributes(attributes: 'dict[str, Any]') → Iterator ``` Context manager for setting attributes on a call. @@ -293,7 +301,7 @@ with weave.attributes({'env': 'production'}): --- - + ## class `Object` @@ -307,7 +315,7 @@ with weave.attributes({'env': 'production'}): - `description`: `typing.Optional[str]` --- - + ### classmethod `handle_relocatable_object` @@ -326,7 +334,7 @@ handle_relocatable_object( --- - + ## class `Dataset` Dataset object with easy saving and automatic versioning @@ -362,7 +370,7 @@ example_label = dataset_ref.rows[2]['sentence'] - `rows`: `` --- - + ### classmethod `convert_to_table` @@ -423,7 +431,162 @@ get_infer_method() → Callable --- - + + +## class `Prompt` + + + + + +**Pydantic Fields:** + +- `name`: `typing.Optional[str]` +- `description`: `typing.Optional[str]` +--- + + + +### method `format` + +```python +format(**kwargs: Any) → Any +``` + + + + + + +--- + + + +## class `StringPrompt` + + + + + + +### method `__init__` + +```python +__init__(content: str) +``` + + + + + + +**Pydantic Fields:** + +- `name`: `typing.Optional[str]` +- `description`: `typing.Optional[str]` +- `content`: `` +--- + + + +### method `format` + +```python +format(**kwargs: Any) → str +``` + + + + + +--- + + + +### classmethod `from_obj` + +```python +from_obj(obj: Any) → StringPrompt +``` + + + + + + +--- + + + +## class `MessagesPrompt` + + + + + + +### method `__init__` + +```python +__init__(messages: list[dict]) +``` + + + + + + +**Pydantic Fields:** + +- `name`: `typing.Optional[str]` +- `description`: `typing.Optional[str]` +- `messages`: `list[dict]` +--- + + + +### method `format` + +```python +format(**kwargs: Any) → list +``` + + + + + +--- + + + +### method `format_message` + +```python +format_message(message: dict, **kwargs: Any) → dict +``` + + + + + +--- + + + +### classmethod `from_obj` + +```python +from_obj(obj: Any) → MessagesPrompt +``` + + + + + + +--- + + ## class `Evaluation` Sets up an evaluation which includes a set of scorers and a dataset. @@ -475,12 +638,13 @@ asyncio.run(evaluation.evaluate(function_to_evaluate)) - `name`: `typing.Optional[str]` - `description`: `typing.Optional[str]` - `dataset`: `typing.Union[flow.dataset.Dataset, list]` -- `scorers`: `typing.Optional[list[typing.Union[typing.Callable, trace.op.Op, flow.scorer.Scorer]]]` +- `scorers`: `typing.Optional[list[typing.Union[typing.Callable, trace.op.Op, scorers.base_scorer.Scorer]]]` - `preprocess_model_input`: `typing.Optional[typing.Callable]` - `trials`: `` +- `evaluation_name`: `typing.Union[str, typing.Callable[[trace.weave_client.Call], str], NoneType]` --- - + ### method `evaluate` @@ -494,12 +658,12 @@ evaluate(model: Union[Callable, Model]) → dict --- - + -### method `model_post_init` +### method `get_eval_results` ```python -model_post_init(_Evaluation__context: Any) → None +get_eval_results(model: Union[Callable, Model]) → EvaluationResults ``` @@ -508,7 +672,7 @@ model_post_init(_Evaluation__context: Any) → None --- - + ### method `predict_and_score` @@ -522,7 +686,7 @@ predict_and_score(model: Union[Callable, Model], example: dict) → dict --- - + ### method `summarize` @@ -537,7 +701,7 @@ summarize(eval_table: EvaluationResults) → dict --- - + ## class `Scorer` @@ -549,14 +713,29 @@ summarize(eval_table: EvaluationResults) → dict - `name`: `typing.Optional[str]` - `description`: `typing.Optional[str]` +- `column_map`: `typing.Optional[dict[str, str]]` +--- + + + +### method `model_post_init` + +```python +model_post_init(_Scorer__context: Any) → None +``` + + + + + --- - + ### method `score` ```python -score(target: Any, model_output: Any) → Any +score(output: Any, **kwargs: Any) → Any ``` @@ -565,7 +744,7 @@ score(target: Any, model_output: Any) → Any --- - + ### method `summarize` diff --git a/docs/docs/reference/python-sdk/weave/trace/weave.trace.feedback.md b/docs/docs/reference/python-sdk/weave/trace/weave.trace.feedback.md index 81ab1360df03..9b225ea81ac7 100644 --- a/docs/docs/reference/python-sdk/weave/trace/weave.trace.feedback.md +++ b/docs/docs/reference/python-sdk/weave/trace/weave.trace.feedback.md @@ -26,17 +26,20 @@ Classes for working with feedback on a project or ref level. --- - + ## class `Feedbacks` A collection of Feedback objects with utilities. - + ### method `__init__` ```python -__init__(show_refs: bool, feedbacks: Optional[Iterable[Feedback]] = None) → None +__init__( + show_refs: 'bool', + feedbacks: 'Iterable[Feedback] | None' = None +) → None ``` @@ -48,7 +51,7 @@ __init__(show_refs: bool, feedbacks: Optional[Iterable[Feedback]] = None) → No --- - + ### method `refs` @@ -61,23 +64,23 @@ Return the unique refs associated with these feedbacks. --- - + ## class `FeedbackQuery` Lazy-loading object for fetching feedback from the server. - + ### method `__init__` ```python __init__( - entity: str, - project: str, - query: Query, - offset: Optional[int] = None, - limit: Optional[int] = None, - show_refs: bool = False + entity: 'str', + project: 'str', + query: 'Query', + offset: 'int | None' = None, + limit: 'int | None' = None, + show_refs: 'bool' = False ) ``` @@ -90,7 +93,7 @@ __init__( --- - + ### method `execute` @@ -104,7 +107,7 @@ execute() → Feedbacks --- - + ### method `refresh` @@ -118,7 +121,7 @@ refresh() → Feedbacks --- - + ### method `refs` @@ -133,17 +136,17 @@ refs() → Refs --- - + ## class `RefFeedbackQuery` Object for interacting with feedback associated with a particular ref. - + ### method `__init__` ```python -__init__(ref: str) → None +__init__(ref: 'str') → None ``` @@ -155,16 +158,16 @@ __init__(ref: str) → None --- - + ### method `add` ```python add( - feedback_type: str, - payload: Optional[dict[str, Any]] = None, - creator: Optional[str] = None, - **kwargs: dict[str, Any] + feedback_type: 'str', + payload: 'dict[str, Any] | None' = None, + creator: 'str | None' = None, + **kwargs: 'dict[str, Any]' ) → str ``` @@ -174,12 +177,12 @@ feedback_type: A string identifying the type of feedback. The "wandb." prefix is --- - + ### method `add_note` ```python -add_note(note: str, creator: Optional[str] = None) → str +add_note(note: 'str', creator: 'str | None' = None) → str ``` @@ -188,12 +191,12 @@ add_note(note: str, creator: Optional[str] = None) → str --- - + ### method `add_reaction` ```python -add_reaction(emoji: str, creator: Optional[str] = None) → str +add_reaction(emoji: 'str', creator: 'str | None' = None) → str ``` @@ -202,7 +205,7 @@ add_reaction(emoji: str, creator: Optional[str] = None) → str --- - + ### method `execute` @@ -216,12 +219,12 @@ execute() → Feedbacks --- - + ### method `purge` ```python -purge(feedback_id: str) → None +purge(feedback_id: 'str') → None ``` @@ -230,7 +233,7 @@ purge(feedback_id: str) → None --- - + ### method `refresh` @@ -244,7 +247,7 @@ refresh() → Feedbacks --- - + ### method `refs` diff --git a/docs/docs/reference/python-sdk/weave/trace/weave.trace.op.md b/docs/docs/reference/python-sdk/weave/trace/weave.trace.op.md index a927f39c41cf..8d94cb37e5bd 100644 --- a/docs/docs/reference/python-sdk/weave/trace/weave.trace.op.md +++ b/docs/docs/reference/python-sdk/weave/trace/weave.trace.op.md @@ -25,12 +25,18 @@ Defines the Op protocol and related functions. --- - + ### function `call` ```python -call(op: Op, *args: Any, **kwargs: Any) → tuple[Any, 'Call'] +call( + op: 'Op', + *args: 'Any', + __weave: 'WeaveKwargs | None' = None, + __should_raise: 'bool' = False, + **kwargs: 'Any' +) → tuple[Any, Call] | Coroutine[Any, Any, tuple[Any, Call]] ``` Executes the op and returns both the result and a Call representing the execution. @@ -49,12 +55,12 @@ result, call = add.call(1, 2) --- - + ### function `calls` ```python -calls(op: Op) → CallsIter +calls(op: 'Op') → CallsIter ``` Get an iterator over all calls to this op. diff --git a/docs/docs/reference/python-sdk/weave/trace/weave.trace.util.md b/docs/docs/reference/python-sdk/weave/trace/weave.trace.util.md index 011deb05f8ec..ccdf96c63fef 100644 --- a/docs/docs/reference/python-sdk/weave/trace/weave.trace.util.md +++ b/docs/docs/reference/python-sdk/weave/trace/weave.trace.util.md @@ -25,7 +25,7 @@ sidebar_label: util --- - + ## class `ContextAwareThreadPoolExecutor` A ThreadPoolExecutor that runs functions with the context of the caller. @@ -44,12 +44,12 @@ with concurrent.futures.ThreadPoolExecutor() as executor: executor.map(_wrapped_fn, vals) ``` - + ### method `__init__` ```python -__init__(*args: Any, **kwargs: Any) → None +__init__(*args: 'Any', **kwargs: 'Any') → None ``` @@ -61,16 +61,16 @@ __init__(*args: Any, **kwargs: Any) → None --- - + ### method `map` ```python map( - fn: Callable, - *iterables: Iterable[Iterable], - timeout: Optional[float] = None, - chunksize: int = 1 + fn: 'Callable', + *iterables: 'Iterable[Iterable]', + timeout: 'float | None' = None, + chunksize: 'int' = 1 ) → Iterator ``` @@ -80,12 +80,12 @@ map( --- - + ### method `submit` ```python -submit(fn: Callable, *args: Any, **kwargs: Any) → Any +submit(fn: 'Callable', *args: 'Any', **kwargs: 'Any') → Any ``` @@ -95,12 +95,12 @@ submit(fn: Callable, *args: Any, **kwargs: Any) → Any --- - + ## class `ContextAwareThread` A Thread that runs functions with the context of the caller. -This is a drop-in replacement for threading.Thread that ensures calls behave as expected inside the thread. Weave requires certain contextvars to be set (see call_context.py), but new threads do not automatically copy context from the parent, which can cause the call context to be lost -- not good! This class automates contextvar copying so using this thread "just works" as the user probaly expects. +This is a drop-in replacement for threading.Thread that ensures calls behave as expected inside the thread. Weave requires certain contextvars to be set (see call_context.py), but new threads do not automatically copy context from the parent, which can cause the call context to be lost -- not good! This class automates contextvar copying so using this thread "just works" as the user probably expects. You can achieve the same effect without this class by instead writing: @@ -115,12 +115,12 @@ thread = threading.Thread(target=run_with_context(your_func, *args, **kwargs)) thread.start() ``` - + ### method `__init__` ```python -__init__(*args: Any, **kwargs: Any) → None +__init__(*args: 'Any', **kwargs: 'Any') → None ``` @@ -166,7 +166,7 @@ This is a non-negative integer. See the get_native_id() function. This represent --- - + ### method `run` diff --git a/docs/docs/reference/python-sdk/weave/trace/weave.trace.weave_client.md b/docs/docs/reference/python-sdk/weave/trace/weave.trace.weave_client.md index 7c08c4c707ac..32a1ae124221 100644 --- a/docs/docs/reference/python-sdk/weave/trace/weave.trace.weave_client.md +++ b/docs/docs/reference/python-sdk/weave/trace/weave.trace.weave_client.md @@ -18,31 +18,32 @@ sidebar_label: weave_client - [`weave_client.WeaveClient`](#class-weaveclient) - [`weave_client.Call`](#class-call): A Call represents a single operation that was executed as part of a trace. -- [`weave_client.CallsIter`](#class-callsiter) +## Functions +- [`weave_client.PaginatedIterator`](#function-paginatediterator) --- - + ## class `WeaveClient` - + ### method `__init__` ```python __init__( - entity: str, - project: str, - server: TraceServerInterface, - ensure_project_exists: bool = True + entity: 'str', + project: 'str', + server: 'TraceServerInterface', + ensure_project_exists: 'bool' = True ) ``` @@ -55,19 +56,19 @@ __init__( --- - + ### method `add_cost` ```python add_cost( - llm_id: str, - prompt_token_cost: float, - completion_token_cost: float, - effective_date: Optional[datetime] = datetime.datetime(2024, 10, 9, 19, 25, 36, 393932, tzinfo=datetime.timezone.utc), - prompt_token_cost_unit: Optional[str] = 'USD', - completion_token_cost_unit: Optional[str] = 'USD', - provider_id: Optional[str] = 'default' + llm_id: 'str', + prompt_token_cost: 'float', + completion_token_cost: 'float', + effective_date: 'datetime | None' = datetime.datetime(2024, 12, 17, 4, 20, 20, 550683, tzinfo=datetime.timezone.utc), + prompt_token_cost_unit: 'str | None' = 'USD', + completion_token_cost_unit: 'str | None' = 'USD', + provider_id: 'str | None' = 'default' ) → CostCreateRes ``` @@ -102,12 +103,12 @@ Add a cost to the current project. --- - + ### method `call` ```python -call(call_id: str, include_costs: Optional[bool] = False) → WeaveObject +call(call_id: 'str', include_costs: 'bool' = False) → WeaveObject ``` @@ -116,14 +117,14 @@ call(call_id: str, include_costs: Optional[bool] = False) → WeaveObject --- - + ### method `calls` ```python calls( - filter: Optional[CallsFilter] = None, - include_costs: Optional[bool] = False + filter: 'CallsFilter | None' = None, + include_costs: 'bool' = False ) → CallsIter ``` @@ -133,18 +134,18 @@ calls( --- - + ### method `create_call` ```python create_call( - op: Union[str, Op], - inputs: dict, - parent: Optional[Call] = None, - attributes: Optional[dict] = None, - display_name: Optional[str, Callable[[Call], str]] = None, - use_stack: bool = True + op: 'str | Op', + inputs: 'dict', + parent: 'Call | None' = None, + attributes: 'dict | None' = None, + display_name: 'str | Callable[[Call], str] | None' = None, + use_stack: 'bool' = True ) → Call ``` @@ -168,12 +169,12 @@ Create, log, and push a call onto the runtime stack. --- - + ### method `delete_call` ```python -delete_call(call: Call) → None +delete_call(call: 'Call') → None ``` @@ -182,28 +183,28 @@ delete_call(call: Call) → None --- - + ### method `fail_call` ```python -fail_call(call: Call, exception: BaseException) → None +fail_call(call: 'Call', exception: 'BaseException') → None ``` Fail a call with an exception. This is a convenience method for finish_call. --- - + ### method `feedback` ```python feedback( - query: Optional[Query, str] = None, - reaction: Optional[str] = None, - offset: int = 0, - limit: int = 100 + query: 'Query | str | None' = None, + reaction: 'str | None' = None, + offset: 'int' = 0, + limit: 'int' = 100 ) → FeedbackQuery ``` @@ -213,16 +214,16 @@ feedback( --- - + ### method `finish_call` ```python finish_call( - call: Call, - output: Any = None, - exception: Optional[BaseException] = None, - op: Optional[Op] = None + call: 'Call', + output: 'Any' = None, + exception: 'BaseException | None' = None, + op: 'Op | None' = None ) → None ``` @@ -232,12 +233,12 @@ finish_call( --- - + ### method `get` ```python -get(ref: ObjectRef) → Any +get(ref: 'ObjectRef') → Any ``` @@ -246,12 +247,12 @@ get(ref: ObjectRef) → Any --- - + ### method `get_call` ```python -get_call(call_id: str, include_costs: Optional[bool] = False) → WeaveObject +get_call(call_id: 'str', include_costs: 'bool' = False) → WeaveObject ``` @@ -260,14 +261,14 @@ get_call(call_id: str, include_costs: Optional[bool] = False) → WeaveObject --- - + ### method `get_calls` ```python get_calls( - filter: Optional[CallsFilter] = None, - include_costs: Optional[bool] = False + filter: 'CallsFilter | None' = None, + include_costs: 'bool' = False ) → CallsIter ``` @@ -277,16 +278,16 @@ get_calls( --- - + ### method `get_feedback` ```python get_feedback( - query: Optional[Query, str] = None, - reaction: Optional[str] = None, - offset: int = 0, - limit: int = 100 + query: 'Query | str | None' = None, + reaction: 'str | None' = None, + offset: 'int' = 0, + limit: 'int' = 100 ) → FeedbackQuery ``` @@ -321,12 +322,12 @@ Query project for feedback. --- - + ### method `purge_costs` ```python -purge_costs(ids: Union[list[str], str]) → None +purge_costs(ids: 'list[str] | str') → None ``` Purge costs from the current project. @@ -349,16 +350,16 @@ Purge costs from the current project. --- - + ### method `query_costs` ```python query_costs( - query: Optional[Query, str] = None, - llm_ids: Optional[list[str]] = None, - offset: int = 0, - limit: int = 100 + query: 'Query | str | None' = None, + llm_ids: 'list[str] | None' = None, + offset: 'int' = 0, + limit: 'int' = 100 ) → list[CostQueryOutput] ``` @@ -395,12 +396,12 @@ Query project for costs. --- - + ### method `save` ```python -save(val: Any, name: str, branch: str = 'latest') → Any +save(val: 'Any', name: 'str', branch: 'str' = 'latest') → Any ``` Do not call directly, use weave.publish() instead. @@ -421,7 +422,7 @@ Do not call directly, use weave.publish() instead. --- - + ## class `Call` A Call represents a single operation that was executed as part of a trace. @@ -432,22 +433,22 @@ A Call represents a single operation that was executed as part of a trace. ```python __init__( - _op_name: Union[str, Future[str]], - trace_id: str, - project_id: str, - parent_id: Optional[str], - inputs: dict, - id: Optional[str] = None, - output: Any = None, - exception: Optional[str] = None, - summary: Optional[dict] = None, - display_name: Optional[str, Callable[[ForwardRef('Call')], str]] = None, - attributes: Optional[dict] = None, - started_at: Optional[datetime] = None, - ended_at: Optional[datetime] = None, - deleted_at: Optional[datetime] = None, - _children: list['Call'] = <factory>, - _feedback: Optional[RefFeedbackQuery] = None + _op_name: 'str | Future[str]', + trace_id: 'str', + project_id: 'str', + parent_id: 'str | None', + inputs: 'dict', + id: 'str | None' = None, + output: 'Any' = None, + exception: 'str | None' = None, + summary: 'dict | None' = None, + _display_name: 'str | Callable[[Call], str] | None' = None, + attributes: 'dict | None' = None, + started_at: 'datetime | None' = None, + ended_at: 'datetime | None' = None, + deleted_at: 'datetime | None' = None, + _children: 'list[Call]' = <factory>, + _feedback: 'RefFeedbackQuery | None' = None ) → None ``` @@ -456,6 +457,14 @@ __init__( +--- + +#### property display_name + + + + + --- #### property feedback @@ -480,6 +489,14 @@ This is different from `op_name` which is usually the ref of the op. +--- + +#### property ref + + + + + --- #### property ui_url @@ -492,7 +509,7 @@ This is different from `op_name` which is usually the ref of the op. --- - + ### method `children` @@ -506,7 +523,7 @@ children() → CallsIter --- - + ### method `delete` @@ -518,7 +535,7 @@ Delete the call. --- - + ### method `remove_display_name` @@ -532,12 +549,12 @@ remove_display_name() → None --- - + ### method `set_display_name` ```python -set_display_name(name: Optional[str]) → None +set_display_name(name: 'str | None') → None ``` Set the display name for the call. @@ -561,30 +578,12 @@ call.set_display_name("My Custom Display Name") --- - - -## class `CallsIter` - - - - - - -### method `__init__` +### function `PaginatedIterator` ```python -__init__( - server: TraceServerInterface, - project_id: str, - filter: CallsFilter, - include_costs: bool = False -) → None +PaginatedIterator(*args, **kwargs) ``` - - - - diff --git a/docs/docs/reference/python-sdk/weave/trace_server/interface/weave.trace_server.interface.query.md b/docs/docs/reference/python-sdk/weave/trace_server/interface/weave.trace_server.interface.query.md index 260b55b0d9ba..3ceb22344900 100644 --- a/docs/docs/reference/python-sdk/weave/trace_server/interface/weave.trace_server.interface.query.md +++ b/docs/docs/reference/python-sdk/weave/trace_server/interface/weave.trace_server.interface.query.md @@ -69,7 +69,7 @@ simplifications: **Pydantic Fields:** -- `$and`: `typing.List[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$and`: `list['Operand']` --- @@ -142,7 +142,7 @@ simplifications: **Pydantic Fields:** -- `$eq`: `typing.Tuple[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation], typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$eq`: `tuple['Operand', 'Operand']` --- @@ -170,7 +170,7 @@ simplifications: **Pydantic Fields:** -- `$gt`: `typing.Tuple[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation], typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$gt`: `tuple['Operand', 'Operand']` --- @@ -184,7 +184,7 @@ simplifications: **Pydantic Fields:** -- `$gte`: `typing.Tuple[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation], typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$gte`: `tuple['Operand', 'Operand']` --- @@ -198,7 +198,7 @@ simplifications: **Pydantic Fields:** -- `$in`: `typing.Tuple[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation], list['Operand']]` +- `$in`: `tuple['Operand', list['Operand']]` --- @@ -226,7 +226,7 @@ simplifications: **Pydantic Fields:** -- `$not`: `typing.Tuple[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$not`: `tuple['Operand']` --- @@ -240,11 +240,11 @@ simplifications: **Pydantic Fields:** -- `$or`: `typing.List[typing.Union[LiteralOperation, GetFieldOperator, ConvertOperation, AndOperation, OrOperation, NotOperation, EqOperation, GtOperation, GteOperation, InOperation, ContainsOperation]]` +- `$or`: `list['Operand']` --- - + ## class `Query` diff --git a/docs/docs/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface.md b/docs/docs/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface.md index 7175da620695..9bb62beaa82e 100644 --- a/docs/docs/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface.md +++ b/docs/docs/reference/python-sdk/weave/trace_server/weave.trace_server.trace_server_interface.md @@ -16,6 +16,8 @@ sidebar_label: trace_server_interface ## Classes +- [`trace_server_interface.ActionsExecuteBatchReq`](#class-actionsexecutebatchreq) +- [`trace_server_interface.ActionsExecuteBatchRes`](#class-actionsexecutebatchres) - [`trace_server_interface.CallEndReq`](#class-callendreq) - [`trace_server_interface.CallEndRes`](#class-callendres) - [`trace_server_interface.CallReadReq`](#class-callreadreq) @@ -32,6 +34,9 @@ sidebar_label: trace_server_interface - [`trace_server_interface.CallsQueryRes`](#class-callsqueryres) - [`trace_server_interface.CallsQueryStatsReq`](#class-callsquerystatsreq) - [`trace_server_interface.CallsQueryStatsRes`](#class-callsquerystatsres) +- [`trace_server_interface.CompletionsCreateReq`](#class-completionscreatereq) +- [`trace_server_interface.CompletionsCreateRequestInputs`](#class-completionscreaterequestinputs) +- [`trace_server_interface.CompletionsCreateRes`](#class-completionscreateres) - [`trace_server_interface.CostCreateInput`](#class-costcreateinput) - [`trace_server_interface.CostCreateReq`](#class-costcreatereq) - [`trace_server_interface.CostCreateRes`](#class-costcreateres) @@ -47,12 +52,12 @@ sidebar_label: trace_server_interface - [`trace_server_interface.FeedbackCreateReq`](#class-feedbackcreatereq) - [`trace_server_interface.FeedbackCreateRes`](#class-feedbackcreateres) - [`trace_server_interface.FeedbackDict`](#class-feedbackdict) -- [`trace_server_interface.FeedbackPayloadNoteReq`](#class-feedbackpayloadnotereq) -- [`trace_server_interface.FeedbackPayloadReactionReq`](#class-feedbackpayloadreactionreq) - [`trace_server_interface.FeedbackPurgeReq`](#class-feedbackpurgereq) - [`trace_server_interface.FeedbackPurgeRes`](#class-feedbackpurgeres) - [`trace_server_interface.FeedbackQueryReq`](#class-feedbackqueryreq) - [`trace_server_interface.FeedbackQueryRes`](#class-feedbackqueryres) +- [`trace_server_interface.FeedbackReplaceReq`](#class-feedbackreplacereq) +- [`trace_server_interface.FeedbackReplaceRes`](#class-feedbackreplaceres) - [`trace_server_interface.FileContentReadReq`](#class-filecontentreadreq) - [`trace_server_interface.FileContentReadRes`](#class-filecontentreadres) - [`trace_server_interface.FileCreateReq`](#class-filecreatereq) @@ -108,7 +113,35 @@ sidebar_label: trace_server_interface --- - + + +## class `ActionsExecuteBatchReq` + + + + + +**Pydantic Fields:** + +- `project_id`: `` +- `action_ref`: `` +- `call_ids`: `list[str]` +- `wb_user_id`: `typing.Optional[str]` + +--- + + + +## class `ActionsExecuteBatchRes` + + + + + + +--- + + ## class `CallEndReq` @@ -122,7 +155,7 @@ sidebar_label: trace_server_interface --- - + ## class `CallEndRes` @@ -133,7 +166,7 @@ sidebar_label: trace_server_interface --- - + ## class `CallReadReq` @@ -149,7 +182,7 @@ sidebar_label: trace_server_interface --- - + ## class `CallReadRes` @@ -163,7 +196,7 @@ sidebar_label: trace_server_interface --- - + ## class `CallSchema` @@ -180,8 +213,8 @@ sidebar_label: trace_server_interface - `trace_id`: `` - `parent_id`: `typing.Optional[str]` - `started_at`: `` -- `attributes`: `typing.Dict[str, typing.Any]` -- `inputs`: `typing.Dict[str, typing.Any]` +- `attributes`: `dict[str, typing.Any]` +- `inputs`: `dict[str, typing.Any]` - `ended_at`: `typing.Optional[datetime.datetime]` - `exception`: `typing.Optional[str]` - `output`: `typing.Optional[typing.Any]` @@ -191,12 +224,12 @@ sidebar_label: trace_server_interface - `deleted_at`: `typing.Optional[datetime.datetime]` --- - + ### method `serialize_typed_dicts` ```python -serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] +serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` @@ -206,7 +239,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallStartReq` @@ -220,7 +253,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallStartRes` @@ -235,7 +268,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallUpdateReq` @@ -252,7 +285,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallUpdateRes` @@ -263,7 +296,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallsDeleteReq` @@ -274,12 +307,12 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** - `project_id`: `` -- `call_ids`: `typing.List[str]` +- `call_ids`: `list[str]` - `wb_user_id`: `typing.Optional[str]` --- - + ## class `CallsDeleteRes` @@ -290,7 +323,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallsFilter` @@ -300,19 +333,19 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `op_names`: `typing.Optional[typing.List[str]]` -- `input_refs`: `typing.Optional[typing.List[str]]` -- `output_refs`: `typing.Optional[typing.List[str]]` -- `parent_ids`: `typing.Optional[typing.List[str]]` -- `trace_ids`: `typing.Optional[typing.List[str]]` -- `call_ids`: `typing.Optional[typing.List[str]]` +- `op_names`: `typing.Optional[list[str]]` +- `input_refs`: `typing.Optional[list[str]]` +- `output_refs`: `typing.Optional[list[str]]` +- `parent_ids`: `typing.Optional[list[str]]` +- `trace_ids`: `typing.Optional[list[str]]` +- `call_ids`: `typing.Optional[list[str]]` - `trace_roots_only`: `typing.Optional[bool]` -- `wb_user_ids`: `typing.Optional[typing.List[str]]` -- `wb_run_ids`: `typing.Optional[typing.List[str]]` +- `wb_user_ids`: `typing.Optional[list[str]]` +- `wb_run_ids`: `typing.Optional[list[str]]` --- - + ## class `CallsQueryReq` @@ -326,16 +359,16 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `filter`: `typing.Optional[CallsFilter]` - `limit`: `typing.Optional[int]` - `offset`: `typing.Optional[int]` -- `sort_by`: `typing.Optional[typing.List[SortBy]]` +- `sort_by`: `typing.Optional[list[SortBy]]` - `query`: `typing.Optional[weave.trace_server.interface.query.Query]` - `include_costs`: `typing.Optional[bool]` - `include_feedback`: `typing.Optional[bool]` -- `columns`: `typing.Optional[typing.List[str]]` -- `expand_columns`: `typing.Optional[typing.List[str]]` +- `columns`: `typing.Optional[list[str]]` +- `expand_columns`: `typing.Optional[list[str]]` --- - + ## class `CallsQueryRes` @@ -345,11 +378,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `calls`: `typing.List[CallSchema]` +- `calls`: `list[CallSchema]` --- - + ## class `CallsQueryStatsReq` @@ -365,7 +398,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CallsQueryStatsRes` @@ -379,7 +412,77 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + + +## class `CompletionsCreateReq` + + + + + +**Pydantic Fields:** + +- `project_id`: `` +- `inputs`: `` +- `wb_user_id`: `typing.Optional[str]` +- `track_llm_call`: `typing.Optional[bool]` + +--- + + + +## class `CompletionsCreateRequestInputs` + + + + + +**Pydantic Fields:** + +- `model`: `` +- `messages`: `` +- `timeout`: `typing.Union[float, str, NoneType]` +- `temperature`: `typing.Optional[float]` +- `top_p`: `typing.Optional[float]` +- `n`: `typing.Optional[int]` +- `stop`: `typing.Union[str, list, NoneType]` +- `max_completion_tokens`: `typing.Optional[int]` +- `max_tokens`: `typing.Optional[int]` +- `modalities`: `typing.Optional[list]` +- `presence_penalty`: `typing.Optional[float]` +- `frequency_penalty`: `typing.Optional[float]` +- `logit_bias`: `typing.Optional[dict]` +- `user`: `typing.Optional[str]` +- `response_format`: `typing.Union[dict, type[pydantic.main.BaseModel], NoneType]` +- `seed`: `typing.Optional[int]` +- `tools`: `typing.Optional[list]` +- `tool_choice`: `typing.Union[str, dict, NoneType]` +- `logprobs`: `typing.Optional[bool]` +- `top_logprobs`: `typing.Optional[int]` +- `parallel_tool_calls`: `typing.Optional[bool]` +- `extra_headers`: `typing.Optional[dict]` +- `functions`: `typing.Optional[list]` +- `function_call`: `typing.Optional[str]` +- `api_version`: `typing.Optional[str]` + +--- + + + +## class `CompletionsCreateRes` + + + + + +**Pydantic Fields:** + +- `response`: `dict[str, typing.Any]` +- `weave_call_id`: `typing.Optional[str]` + +--- + + ## class `CostCreateInput` @@ -398,7 +501,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CostCreateReq` @@ -409,12 +512,12 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** - `project_id`: `` -- `costs`: `typing.Dict[str, CostCreateInput]` +- `costs`: `dict[str, CostCreateInput]` - `wb_user_id`: `typing.Optional[str]` --- - + ## class `CostCreateRes` @@ -428,7 +531,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CostPurgeReq` @@ -443,7 +546,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CostPurgeRes` @@ -454,7 +557,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CostQueryOutput` @@ -475,7 +578,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `CostQueryReq` @@ -488,13 +591,13 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `project_id`: `` - `fields`: `typing.Optional[list[str]]` - `query`: `typing.Optional[weave.trace_server.interface.query.Query]` -- `sort_by`: `typing.Optional[typing.List[SortBy]]` +- `sort_by`: `typing.Optional[list[SortBy]]` - `limit`: `typing.Optional[int]` - `offset`: `typing.Optional[int]` --- - + ## class `CostQueryRes` @@ -508,7 +611,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `EndedCallSchemaForInsert` @@ -526,12 +629,12 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `summary`: `` --- - + ### method `serialize_typed_dicts` ```python -serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] +serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` @@ -541,7 +644,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `EnsureProjectExistsRes` @@ -555,7 +658,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ExtraKeysTypedDict` @@ -568,7 +671,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `Feedback` @@ -582,14 +685,18 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `weave_ref`: `` - `creator`: `typing.Optional[str]` - `feedback_type`: `` -- `payload`: `typing.Dict[str, typing.Any]` +- `payload`: `dict[str, typing.Any]` +- `annotation_ref`: `typing.Optional[str]` +- `runnable_ref`: `typing.Optional[str]` +- `call_ref`: `typing.Optional[str]` +- `trigger_ref`: `typing.Optional[str]` - `wb_user_id`: `typing.Optional[str]` - `id`: `` - `created_at`: `` --- - + ## class `FeedbackCreateReq` @@ -603,12 +710,16 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `weave_ref`: `` - `creator`: `typing.Optional[str]` - `feedback_type`: `` -- `payload`: `typing.Dict[str, typing.Any]` +- `payload`: `dict[str, typing.Any]` +- `annotation_ref`: `typing.Optional[str]` +- `runnable_ref`: `typing.Optional[str]` +- `call_ref`: `typing.Optional[str]` +- `trigger_ref`: `typing.Optional[str]` - `wb_user_id`: `typing.Optional[str]` --- - + ## class `FeedbackCreateRes` @@ -621,11 +732,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `id`: `` - `created_at`: `` - `wb_user_id`: `` -- `payload`: `typing.Dict[str, typing.Any]` +- `payload`: `dict[str, typing.Any]` --- - + ## class `FeedbackDict` @@ -638,9 +749,9 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + -## class `FeedbackPayloadNoteReq` +## class `FeedbackPurgeReq` @@ -648,27 +759,25 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `note`: `` +- `project_id`: `` +- `query`: `` --- - + -## class `FeedbackPayloadReactionReq` +## class `FeedbackPurgeRes` -**Pydantic Fields:** - -- `emoji`: `` --- - + -## class `FeedbackPurgeReq` +## class `FeedbackQueryReq` @@ -677,24 +786,31 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** - `project_id`: `` -- `query`: `` +- `fields`: `typing.Optional[list[str]]` +- `query`: `typing.Optional[weave.trace_server.interface.query.Query]` +- `sort_by`: `typing.Optional[list[SortBy]]` +- `limit`: `typing.Optional[int]` +- `offset`: `typing.Optional[int]` --- - + -## class `FeedbackPurgeRes` +## class `FeedbackQueryRes` +**Pydantic Fields:** + +- `result`: `list[dict[str, typing.Any]]` --- - + -## class `FeedbackQueryReq` +## class `FeedbackReplaceReq` @@ -703,17 +819,22 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** - `project_id`: `` -- `fields`: `typing.Optional[list[str]]` -- `query`: `typing.Optional[weave.trace_server.interface.query.Query]` -- `sort_by`: `typing.Optional[typing.List[SortBy]]` -- `limit`: `typing.Optional[int]` -- `offset`: `typing.Optional[int]` +- `weave_ref`: `` +- `creator`: `typing.Optional[str]` +- `feedback_type`: `` +- `payload`: `dict[str, typing.Any]` +- `annotation_ref`: `typing.Optional[str]` +- `runnable_ref`: `typing.Optional[str]` +- `call_ref`: `typing.Optional[str]` +- `trigger_ref`: `typing.Optional[str]` +- `wb_user_id`: `typing.Optional[str]` +- `feedback_id`: `` --- - + -## class `FeedbackQueryRes` +## class `FeedbackReplaceRes` @@ -721,11 +842,14 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `result`: `list[dict[str, typing.Any]]` +- `id`: `` +- `created_at`: `` +- `wb_user_id`: `` +- `payload`: `dict[str, typing.Any]` --- - + ## class `FileContentReadReq` @@ -740,7 +864,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `FileContentReadRes` @@ -754,7 +878,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `FileCreateReq` @@ -770,7 +894,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `FileCreateRes` @@ -784,7 +908,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `LLMCostSchema` @@ -797,7 +921,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `LLMUsageSchema` @@ -810,7 +934,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjCreateReq` @@ -824,7 +948,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjCreateRes` @@ -838,7 +962,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjQueryReq` @@ -852,12 +976,12 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `filter`: `typing.Optional[ObjectVersionFilter]` - `limit`: `typing.Optional[int]` - `offset`: `typing.Optional[int]` -- `sort_by`: `typing.Optional[typing.List[SortBy]]` +- `sort_by`: `typing.Optional[list[SortBy]]` - `metadata_only`: `typing.Optional[bool]` --- - + ## class `ObjQueryRes` @@ -867,11 +991,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `objs`: `typing.List[ObjSchema]` +- `objs`: `list[ObjSchema]` --- - + ## class `ObjReadReq` @@ -887,7 +1011,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjReadRes` @@ -901,7 +1025,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjSchema` @@ -924,7 +1048,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `ObjSchemaForInsert` @@ -937,10 +1061,26 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `project_id`: `` - `object_id`: `` - `val`: `typing.Any` +- `builtin_object_class`: `typing.Optional[str]` +- `set_base_object_class`: `typing.Optional[str]` +--- + + + +### method `model_post_init` + +```python +model_post_init(_ObjSchemaForInsert__context: Any) → None +``` + + + + + --- - + ## class `ObjectVersionFilter` @@ -950,14 +1090,14 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `base_object_classes`: `typing.Optional[typing.List[str]]` -- `object_ids`: `typing.Optional[typing.List[str]]` +- `base_object_classes`: `typing.Optional[list[str]]` +- `object_ids`: `typing.Optional[list[str]]` - `is_op`: `typing.Optional[bool]` - `latest_only`: `typing.Optional[bool]` --- - + ## class `OpCreateReq` @@ -971,7 +1111,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `OpCreateRes` @@ -985,7 +1125,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `OpQueryReq` @@ -1000,7 +1140,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `OpQueryRes` @@ -1010,11 +1150,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `op_objs`: `typing.List[ObjSchema]` +- `op_objs`: `list[ObjSchema]` --- - + ## class `OpReadReq` @@ -1030,7 +1170,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `OpReadRes` @@ -1044,7 +1184,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `OpVersionFilter` @@ -1054,12 +1194,12 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `op_names`: `typing.Optional[typing.List[str]]` +- `op_names`: `typing.Optional[list[str]]` - `latest_only`: `typing.Optional[bool]` --- - + ## class `RefsReadBatchReq` @@ -1069,11 +1209,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `refs`: `typing.List[str]` +- `refs`: `list[str]` --- - + ## class `RefsReadBatchRes` @@ -1083,11 +1223,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `vals`: `typing.List[typing.Any]` +- `vals`: `list[typing.Any]` --- - + ## class `SortBy` @@ -1102,7 +1242,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `StartedCallSchemaForInsert` @@ -1119,14 +1259,14 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `trace_id`: `typing.Optional[str]` - `parent_id`: `typing.Optional[str]` - `started_at`: `` -- `attributes`: `typing.Dict[str, typing.Any]` -- `inputs`: `typing.Dict[str, typing.Any]` +- `attributes`: `dict[str, typing.Any]` +- `inputs`: `dict[str, typing.Any]` - `wb_user_id`: `typing.Optional[str]` - `wb_run_id`: `typing.Optional[str]` --- - + ## class `SummaryInsertMap` @@ -1139,7 +1279,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `SummaryMap` @@ -1152,7 +1292,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableAppendSpec` @@ -1166,7 +1306,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableAppendSpecPayload` @@ -1180,7 +1320,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableCreateReq` @@ -1194,7 +1334,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableCreateRes` @@ -1209,7 +1349,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableInsertSpec` @@ -1223,7 +1363,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableInsertSpecPayload` @@ -1238,7 +1378,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TablePopSpec` @@ -1252,7 +1392,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TablePopSpecPayload` @@ -1266,7 +1406,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableQueryReq` @@ -1281,11 +1421,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] - `filter`: `typing.Optional[TableRowFilter]` - `limit`: `typing.Optional[int]` - `offset`: `typing.Optional[int]` -- `sort_by`: `typing.Optional[typing.List[SortBy]]` +- `sort_by`: `typing.Optional[list[SortBy]]` --- - + ## class `TableQueryRes` @@ -1295,11 +1435,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `rows`: `typing.List[TableRowSchema]` +- `rows`: `list[TableRowSchema]` --- - + ## class `TableQueryStatsReq` @@ -1314,7 +1454,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableQueryStatsRes` @@ -1328,7 +1468,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableRowFilter` @@ -1338,11 +1478,11 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] **Pydantic Fields:** -- `row_digests`: `typing.Optional[typing.List[str]]` +- `row_digests`: `typing.Optional[list[str]]` --- - + ## class `TableRowSchema` @@ -1357,7 +1497,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableSchemaForInsert` @@ -1372,7 +1512,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableUpdateReq` @@ -1388,7 +1528,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TableUpdateRes` @@ -1403,7 +1543,7 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + ## class `TraceServerInterface` @@ -1415,7 +1555,21 @@ serialize_typed_dicts(v: Dict[str, Any]) → Dict[str, Any] --- - + + +### method `actions_execute_batch` + +```python +actions_execute_batch(req: ActionsExecuteBatchReq) → ActionsExecuteBatchRes +``` + + + + + +--- + + ### method `call_end` @@ -1429,7 +1583,7 @@ call_end(req: CallEndReq) → CallEndRes --- - + ### method `call_read` @@ -1443,7 +1597,7 @@ call_read(req: CallReadReq) → CallReadRes --- - + ### method `call_start` @@ -1457,7 +1611,7 @@ call_start(req: CallStartReq) → CallStartRes --- - + ### method `call_update` @@ -1471,7 +1625,7 @@ call_update(req: CallUpdateReq) → CallUpdateRes --- - + ### method `calls_delete` @@ -1485,7 +1639,7 @@ calls_delete(req: CallsDeleteReq) → CallsDeleteRes --- - + ### method `calls_query` @@ -1499,7 +1653,7 @@ calls_query(req: CallsQueryReq) → CallsQueryRes --- - + ### method `calls_query_stats` @@ -1513,7 +1667,7 @@ calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes --- - + ### method `calls_query_stream` @@ -1527,7 +1681,21 @@ calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema] --- - + + +### method `completions_create` + +```python +completions_create(req: CompletionsCreateReq) → CompletionsCreateRes +``` + + + + + +--- + + ### method `cost_create` @@ -1541,7 +1709,7 @@ cost_create(req: CostCreateReq) → CostCreateRes --- - + ### method `cost_purge` @@ -1555,7 +1723,7 @@ cost_purge(req: CostPurgeReq) → CostPurgeRes --- - + ### method `cost_query` @@ -1569,7 +1737,7 @@ cost_query(req: CostQueryReq) → CostQueryRes --- - + ### method `ensure_project_exists` @@ -1583,7 +1751,7 @@ ensure_project_exists(entity: str, project: str) → EnsureProjectExistsRes --- - + ### method `feedback_create` @@ -1597,7 +1765,7 @@ feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes --- - + ### method `feedback_purge` @@ -1611,7 +1779,7 @@ feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes --- - + ### method `feedback_query` @@ -1625,7 +1793,21 @@ feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes --- - + + +### method `feedback_replace` + +```python +feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes +``` + + + + + +--- + + ### method `file_content_read` @@ -1639,7 +1821,7 @@ file_content_read(req: FileContentReadReq) → FileContentReadRes --- - + ### method `file_create` @@ -1653,7 +1835,7 @@ file_create(req: FileCreateReq) → FileCreateRes --- - + ### method `obj_create` @@ -1667,7 +1849,7 @@ obj_create(req: ObjCreateReq) → ObjCreateRes --- - + ### method `obj_read` @@ -1681,7 +1863,7 @@ obj_read(req: ObjReadReq) → ObjReadRes --- - + ### method `objs_query` @@ -1695,7 +1877,7 @@ objs_query(req: ObjQueryReq) → ObjQueryRes --- - + ### method `op_create` @@ -1709,7 +1891,7 @@ op_create(req: OpCreateReq) → OpCreateRes --- - + ### method `op_read` @@ -1723,7 +1905,7 @@ op_read(req: OpReadReq) → OpReadRes --- - + ### method `ops_query` @@ -1737,7 +1919,7 @@ ops_query(req: OpQueryReq) → OpQueryRes --- - + ### method `refs_read_batch` @@ -1751,7 +1933,7 @@ refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes --- - + ### method `table_create` @@ -1765,7 +1947,7 @@ table_create(req: TableCreateReq) → TableCreateRes --- - + ### method `table_query` @@ -1779,7 +1961,7 @@ table_query(req: TableQueryReq) → TableQueryRes --- - + ### method `table_query_stats` @@ -1793,7 +1975,21 @@ table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes --- - + + +### method `table_query_stream` + +```python +table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema] +``` + + + + + +--- + + ### method `table_update` @@ -1808,7 +2004,7 @@ table_update(req: TableUpdateReq) → TableUpdateRes --- - + ## class `TraceStatus` An enumeration. @@ -1819,7 +2015,7 @@ An enumeration. --- - + ## class `WeaveSummarySchema` diff --git a/docs/docs/reference/python-sdk/weave/trace_server_bindings/weave.trace_server_bindings.remote_http_trace_server.md b/docs/docs/reference/python-sdk/weave/trace_server_bindings/weave.trace_server_bindings.remote_http_trace_server.md index 1484efbb7819..7a6a40f7beec 100644 --- a/docs/docs/reference/python-sdk/weave/trace_server_bindings/weave.trace_server_bindings.remote_http_trace_server.md +++ b/docs/docs/reference/python-sdk/weave/trace_server_bindings/weave.trace_server_bindings.remote_http_trace_server.md @@ -28,14 +28,14 @@ sidebar_label: remote_http_trace_server --- - + ## class `RemoteHTTPTraceServer` - + ### method `__init__` @@ -56,7 +56,23 @@ __init__( --- - + + +### method `actions_execute_batch` + +```python +actions_execute_batch( + req: Union[ActionsExecuteBatchReq, dict[str, Any]] +) → ActionsExecuteBatchRes +``` + + + + + +--- + + ### method `call_end` @@ -70,7 +86,7 @@ call_end(req: Union[CallEndReq, dict[str, Any]]) → CallEndRes --- - + ### method `call_read` @@ -84,7 +100,7 @@ call_read(req: Union[CallReadReq, dict[str, Any]]) → CallReadRes --- - + ### method `call_start` @@ -98,7 +114,7 @@ call_start(req: Union[CallStartReq, dict[str, Any]]) → CallStartRes --- - + ### method `call_update` @@ -112,7 +128,7 @@ call_update(req: Union[CallUpdateReq, dict[str, Any]]) → CallUpdateRes --- - + ### method `calls_delete` @@ -126,7 +142,7 @@ calls_delete(req: Union[CallsDeleteReq, dict[str, Any]]) → CallsDeleteRes --- - + ### method `calls_query` @@ -140,7 +156,7 @@ calls_query(req: Union[CallsQueryReq, dict[str, Any]]) → CallsQueryRes --- - + ### method `calls_query_stats` @@ -156,7 +172,7 @@ calls_query_stats( --- - + ### method `calls_query_stream` @@ -170,7 +186,21 @@ calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema] --- - + + +### method `completions_create` + +```python +completions_create(req: CompletionsCreateReq) → CompletionsCreateRes +``` + + + + + +--- + + ### method `cost_create` @@ -184,7 +214,7 @@ cost_create(req: Union[CostCreateReq, dict[str, Any]]) → CostCreateRes --- - + ### method `cost_purge` @@ -198,7 +228,7 @@ cost_purge(req: Union[CostPurgeReq, dict[str, Any]]) → CostPurgeRes --- - + ### method `cost_query` @@ -212,7 +242,7 @@ cost_query(req: Union[CostQueryReq, dict[str, Any]]) → CostQueryRes --- - + ### method `ensure_project_exists` @@ -226,7 +256,7 @@ ensure_project_exists(entity: str, project: str) → EnsureProjectExistsRes --- - + ### method `feedback_create` @@ -242,7 +272,7 @@ feedback_create( --- - + ### method `feedback_purge` @@ -256,7 +286,7 @@ feedback_purge(req: Union[FeedbackPurgeReq, dict[str, Any]]) → FeedbackPurgeRe --- - + ### method `feedback_query` @@ -270,7 +300,23 @@ feedback_query(req: Union[FeedbackQueryReq, dict[str, Any]]) → FeedbackQueryRe --- - + + +### method `feedback_replace` + +```python +feedback_replace( + req: Union[FeedbackReplaceReq, dict[str, Any]] +) → FeedbackReplaceRes +``` + + + + + +--- + + ### method `file_content_read` @@ -284,7 +330,7 @@ file_content_read(req: FileContentReadReq) → FileContentReadRes --- - + ### method `file_create` @@ -298,7 +344,7 @@ file_create(req: FileCreateReq) → FileCreateRes --- - + ### classmethod `from_env` @@ -312,7 +358,7 @@ from_env(should_batch: bool = False) → RemoteHTTPTraceServer --- - + ### method `obj_create` @@ -326,7 +372,7 @@ obj_create(req: Union[ObjCreateReq, dict[str, Any]]) → ObjCreateRes --- - + ### method `obj_read` @@ -340,7 +386,7 @@ obj_read(req: Union[ObjReadReq, dict[str, Any]]) → ObjReadRes --- - + ### method `objs_query` @@ -354,7 +400,7 @@ objs_query(req: Union[ObjQueryReq, dict[str, Any]]) → ObjQueryRes --- - + ### method `op_create` @@ -368,7 +414,7 @@ op_create(req: Union[OpCreateReq, dict[str, Any]]) → OpCreateRes --- - + ### method `op_read` @@ -382,7 +428,7 @@ op_read(req: Union[OpReadReq, dict[str, Any]]) → OpReadRes --- - + ### method `ops_query` @@ -396,7 +442,7 @@ ops_query(req: Union[OpQueryReq, dict[str, Any]]) → OpQueryRes --- - + ### method `refs_read_batch` @@ -410,7 +456,7 @@ refs_read_batch(req: Union[RefsReadBatchReq, dict[str, Any]]) → RefsReadBatchR --- - + ### method `server_info` @@ -424,12 +470,12 @@ server_info() → ServerInfoRes --- - + ### method `set_auth` ```python -set_auth(auth: Tuple[str, str]) → None +set_auth(auth: tuple[str, str]) → None ``` @@ -438,7 +484,7 @@ set_auth(auth: Tuple[str, str]) → None --- - + ### method `table_create` @@ -450,7 +496,7 @@ Similar to `calls/batch_upsert`, we can dynamically adjust the payload size due --- - + ### method `table_query` @@ -464,7 +510,7 @@ table_query(req: Union[TableQueryReq, dict[str, Any]]) → TableQueryRes --- - + ### method `table_query_stats` @@ -480,7 +526,21 @@ table_query_stats( --- - + + +### method `table_query_stream` + +```python +table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema] +``` + + + + + +--- + + ### method `table_update` @@ -493,7 +553,7 @@ Similar to `calls/batch_upsert`, we can dynamically adjust the payload size due --- - + ## class `ServerInfoRes` @@ -507,7 +567,7 @@ Similar to `calls/batch_upsert`, we can dynamically adjust the payload size due --- - + ## class `StartBatchItem` @@ -522,7 +582,7 @@ Similar to `calls/batch_upsert`, we can dynamically adjust the payload size due --- - + ## class `EndBatchItem` @@ -537,7 +597,7 @@ Similar to `calls/batch_upsert`, we can dynamically adjust the payload size due --- - + ## class `Batch` diff --git a/docs/docs/reference/service-api/call-end-call-end-post.api.mdx b/docs/docs/reference/service-api/call-end-call-end-post.api.mdx index e8c428523c9d..5bb068d26a98 100644 --- a/docs/docs/reference/service-api/call-end-call-end-post.api.mdx +++ 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sidebar_class_name: "post api-method" info_path: reference/service-api/fastapi custom_edit_url: null diff --git a/docs/docs/reference/service-api/call-start-call-start-post.api.mdx b/docs/docs/reference/service-api/call-start-call-start-post.api.mdx index 2097de9254cd..1fd615f6b108 100644 --- a/docs/docs/reference/service-api/call-start-call-start-post.api.mdx +++ b/docs/docs/reference/service-api/call-start-call-start-post.api.mdx @@ -5,7 +5,7 @@ description: "Call Start" sidebar_label: "Call Start" hide_title: true hide_table_of_contents: true -api: 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sidebar_class_name: "post api-method" info_path: reference/service-api/fastapi custom_edit_url: null diff --git a/docs/docs/reference/service-api/cost-query-cost-query-post.api.mdx b/docs/docs/reference/service-api/cost-query-cost-query-post.api.mdx index 8a5c8ce1abd2..e4a828382ced 100644 --- a/docs/docs/reference/service-api/cost-query-cost-query-post.api.mdx +++ b/docs/docs/reference/service-api/cost-query-cost-query-post.api.mdx @@ -827,7 +827,7 @@ Cost Query value={"Example (from schema)"} > diff --git a/docs/docs/reference/service-api/feedback-create-feedback-create-post.api.mdx b/docs/docs/reference/service-api/feedback-create-feedback-create-post.api.mdx index 54bfd040d239..f5e0f23ea824 100644 --- a/docs/docs/reference/service-api/feedback-create-feedback-create-post.api.mdx +++ b/docs/docs/reference/service-api/feedback-create-feedback-create-post.api.mdx @@ -5,7 +5,7 @@ description: "Add feedback to a call or object." sidebar_label: "Feedback Create" hide_title: true hide_table_of_contents: true -api: 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 +api: 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 sidebar_class_name: "post api-method" info_path: reference/service-api/fastapi custom_edit_url: null @@ -165,6 +165,186 @@ Add feedback to a call or object. schema={{"type":"object","title":"Payload","examples":[{"key":"value"}]}} > + +
+ + + annotation_ref + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
+ +
+ + + runnable_ref + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
+ +
+ + + call_ref + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
+ +
+ + + trigger_ref + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
diff --git a/docs/docs/reference/service-api/feedback-replace-feedback-replace-post.api.mdx b/docs/docs/reference/service-api/feedback-replace-feedback-replace-post.api.mdx new file mode 100644 index 000000000000..052c2f3fdddc --- /dev/null +++ b/docs/docs/reference/service-api/feedback-replace-feedback-replace-post.api.mdx @@ -0,0 +1,732 @@ +--- +id: feedback-replace-feedback-replace-post +title: "Feedback Replace" +description: "Feedback Replace" +sidebar_label: "Feedback Replace" +hide_title: true +hide_table_of_contents: true +api: eJylV02T2jgQ/SsunQmendqTb2SSrc3WboUCsjlMUZSwG1AiW4okD6Eo/vt2S8aW+crOcMG21Opuvdf9JPbM8bVl2TP7A6BY8vw7mw+Y0mC4E6r6VLCMrZqZhQEteQ6LswGtrGMDZuBHDda9V8WOZXuWq8pB5eiVay1F7l2m36yqaMzmGyg5vWlDAZ0A23x9g9wtREFfbqcBc7DOiGqNMZxwkgbGwSrBDAcMfvJSS/D7wIjC7dLGC5sfBmwL/AUw2dUth1/JKJmgUd+fX5yladp3nKqlf1S8hKwQa9y3j5Ub4E4Zv+lq9xlDPp/GPAzakaqWkh3mXRZPzfJ+Dn/xCpJpKdzGx2jxD16u7+nIaTIjg77PvLZOld6f5jupeAx32FwMd2PS87Fn3wGZZi9c1oDbQFe8qpTzPB/xfgsKo9bL/YSYuqr4UsI9+UwaH6/JRp+XBpfyniyecP0rMqBw/oc6ieJjhPUazD0pzIKL+1nZLhe1xVxCk78lla/L5At6CAJQgM2N0FQxOPVBJVg/iQWXFMJgeLkbJlMwL2i+FQgir7H0sb4InV2ila4ld5C4jbDJSoAshixus9tK1DYZZnIgmE9aiFQRsygIpUjbYlk6bemuJftZzM+jToIET+AHBj/E0ZypwQ9YrSobtPXx4YEefbimdZ6DtauaqisYY9w3qvdtrAiiRiOhWHB3yXalTEkzrECjd06UwE70EYpk5NhZFV1V9q5SXid2v2LTsxhtppdQF+kWa5ZYwzC/Pz6eE/Mvl6IIMvjRGH8qvJGVAhwX0vPjoLTnBlLlvdn/0ZECM0EtCLrfjHFj+C5C8m8VEiTgS7u+xdI/WIJ8Dax1dt3UgxHOtF9RRPsKoRu7iIwO3oDu9W18CPBdCnY0+XM2G585DNxayGuDmujhJLv33AqE+3lOetanvBWTpkIoeXAbRfew5palOV4DMpYehSE1ran1GheO5tog32zjnLYoy86gxXDLq2I55MIL6TGtKdVMqIIouRZ98kCuvRV+L/087YuKbtJd+T6G0+D0CtfRF13DusH2vhQJQP960010rXvhptGZ9U/8KFR7/kYlFZ+JUaqRsFxILB7GVES1Uh6xY5dz60bjT7iC2AjEPgx/Gz54/UEWS+67lQ7Fy5z3iqKlwsFPl6KJ8P3kCd435fDcJucbIPhBkjdUMzi73yNv8MXIw4GGkTRD9YivL9wIQsvXIy4AXmBTd5e7p6A475orZLjrZefqQ8oQVozwONHupu08Kuvx5+kMjZfNv4ZSFbTG8C3tBH8zxugfCa32RerHULF4ta5JMDIWfFJJ4sG+iQALtTponpGaobxF+XlwRD7CxXRQEC0I06DZTt0Mxdp3df2YW7tVpojW62aIhPJw+A9tcJ/N +sidebar_class_name: "post api-method" +info_path: reference/service-api/fastapi +custom_edit_url: null +--- + +import ApiTabs from "@theme/ApiTabs"; +import DiscriminatorTabs from "@theme/DiscriminatorTabs"; +import MethodEndpoint from "@theme/ApiExplorer/MethodEndpoint"; +import SecuritySchemes from "@theme/ApiExplorer/SecuritySchemes"; +import MimeTabs from "@theme/MimeTabs"; +import ParamsItem from "@theme/ParamsItem"; +import ResponseSamples from "@theme/ResponseSamples"; +import SchemaItem from "@theme/SchemaItem"; +import SchemaTabs from "@theme/SchemaTabs"; +import Markdown from "@theme/Markdown"; +import Heading from "@theme/Heading"; +import OperationTabs from "@theme/OperationTabs"; +import TabItem from "@theme/TabItem"; + + + + + + + + + + +Feedback Replace + + + + + + +
+ +

+ Body +

+ required + +
+ +
    + + + + + +
    + + + creator + + object + +
    + +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     + + + + +
    + + + annotation_ref + + object + +
    + +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     +
    + + + runnable_ref + + object + +
    + +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     +
    + + + call_ref + + object + +
    + +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     +
    + + + trigger_ref + + object + +
    + +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     +
    + + + wb_user_id + + object + +
    +
    + + + Do not set directly. Server will automatically populate this field. + + +
    +
    + + anyOf + + +
    + + + string + + +
    +     +     +
    +
    +     + + +
+
+ +
+
+ + +
+ + + Successful Response + + +
+ + + + +
+ + + Schema + +
+ +
    + + + + + + + + + +
+
+ + + + + + + + +
+ +
+ + + Validation Error + + +
+ + + + +
+ + + Schema + +
+ +
    + +
    + + + + detail + + object[] + + +
    +
  • +
    + Array [ +
    +
    • +
    + + + + loc + + object[] + + + + required + + +
    +
  • +
    + Array [ +
    +
    • + + anyOf + + +
    + + + string + + +
    +     +
    + + + integer + + +
    +     +     +
  • +
    + ] +
    +
    • +
    +
    +     + + + +
  • +
    + ] +
    +
    • +
    +
    +     +
+
+ + + + + + + + +
+ + +
+
+ \ No newline at end of file diff --git a/docs/docs/reference/service-api/obj-create-obj-create-post.api.mdx b/docs/docs/reference/service-api/obj-create-obj-create-post.api.mdx index 5d304e055af1..0ef8b4fd96cc 100644 --- a/docs/docs/reference/service-api/obj-create-obj-create-post.api.mdx +++ b/docs/docs/reference/service-api/obj-create-obj-create-post.api.mdx @@ -5,7 +5,7 @@ description: "Obj Create" sidebar_label: "Obj Create" hide_title: true hide_table_of_contents: true -api: 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 +api: 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 sidebar_class_name: "post api-method" info_path: reference/service-api/fastapi custom_edit_url: null @@ -146,6 +146,96 @@ Obj Create schema={{"title":"Val"}} > + +
+ + + builtin_object_class + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
+ +
+ + + set_base_object_class + + object + +
+ +
+ + anyOf + + +
+ + + string + + +
+ + +
+
diff --git a/docs/docs/reference/service-api/obj-read-obj-read-post.api.mdx b/docs/docs/reference/service-api/obj-read-obj-read-post.api.mdx index 836ded38da2d..4f0d9dc27b43 100644 --- a/docs/docs/reference/service-api/obj-read-obj-read-post.api.mdx +++ b/docs/docs/reference/service-api/obj-read-obj-read-post.api.mdx @@ -379,7 +379,7 @@ Obj Read value={"Example (from schema)"} > diff --git a/docs/docs/reference/service-api/objs-query-objs-query-post.api.mdx b/docs/docs/reference/service-api/objs-query-objs-query-post.api.mdx index 2e316d3b9954..661681d81a72 100644 --- a/docs/docs/reference/service-api/objs-query-objs-query-post.api.mdx +++ b/docs/docs/reference/service-api/objs-query-objs-query-post.api.mdx @@ -888,7 +888,7 @@ Objs Query value={"Example (from schema)"} > diff --git a/docs/docs/reference/service-api/sidebar.ts b/docs/docs/reference/service-api/sidebar.ts index 0040af11b1bd..ef65dfb0b498 100644 --- a/docs/docs/reference/service-api/sidebar.ts +++ b/docs/docs/reference/service-api/sidebar.ts @@ -216,6 +216,12 @@ const sidebar: SidebarsConfig = { label: "Feedback Purge", className: "api-method post", }, + { + type: "doc", + id: "reference/service-api/feedback-replace-feedback-replace-post", + label: "Feedback Replace", + className: "api-method post", + }, ], }, ], diff --git a/docs/scripts/screenshot_spec.json b/docs/scripts/screenshot_spec.json index ec937d60dc55..fb8b6653b49c 100644 --- a/docs/scripts/screenshot_spec.json +++ b/docs/scripts/screenshot_spec.json @@ -5,7 +5,7 @@ "output_path": "./static/img/screenshots/basic_call.png", "selector": "body", "viewport_size": [1920, 1080], - "clicks": ["#onetrust-reject-all-handler", "[data-testid='KeyboardArrowRightIcon']", "[data-testid='KeyboardArrowRightIcon']", "body"], + "clicks": ["#onetrust-reject-all-handler", "span[data-testid='KeyboardArrowRightIcon']", "span[data-testid='KeyboardArrowRightIcon']", "body"], "delay": 5, "local_storage": { "weaveflow-tracetree-width-number": 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rW8r++k^F1b<{b$Qf7KKJ^&^7v!;bgk`iAW5;-(7ncIEbEAG-JlVsJwU diff --git a/weave/trace/op.py b/weave/trace/op.py index a89c7400d8bb..ea3f0c66dc0c 100644 --- a/weave/trace/op.py +++ b/weave/trace/op.py @@ -614,6 +614,7 @@ def op( Example usage: + ```python import weave weave.init("my-project") @@ -629,6 +630,7 @@ async def extract(): await extract() # calls the function and tracks the call in the Weave UI ``` + """ if not isinstance(tracing_sample_rate, (int, float)): raise TypeError("tracing_sample_rate must be a float") From 2fd1196b4260addce21d607f8273eeb667b6f9f4 Mon Sep 17 00:00:00 2001 From: Andrew Truong Date: Tue, 17 Dec 2024 12:38:58 -0500 Subject: [PATCH 21/62] chore(weave): Increase import test time #3272 --- tests/trace/test_import.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/trace/test_import.py b/tests/trace/test_import.py index 0cd63c78c369..085461a0bcd4 100644 --- a/tests/trace/test_import.py +++ b/tests/trace/test_import.py @@ -9,5 +9,5 @@ def test_import_not_slow(monkeypatch): import_time = run_single_import() - # Ideally the import takes < 1s, but in CI it can take up to 3s. - assert import_time < 3, f"Import time was {import_time} seconds" + # Ideally the import takes < 1s, but in CI it can take up to 4s. + assert import_time < 4, f"Import time was {import_time} seconds" From 770d3ddfe0bba2af4dc8035c3fc23d80ce9b34d8 Mon Sep 17 00:00:00 2001 From: Weave Build Bot Date: Tue, 17 Dec 2024 17:50:14 +0000 Subject: [PATCH 22/62] =?UTF-8?q?Release=20version:=200.51.25-dev0=20?= =?UTF-8?q?=E2=86=92=200.51.25?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pyproject.toml | 2 +- weave/version.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index f34757b315e8..e8f9b5762df2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -226,7 +226,7 @@ module = "weave_query.*" ignore_errors = true [tool.bumpversion] -current_version = "0.51.25-dev0" +current_version = "0.51.25" parse = """(?x) (?P0|[1-9]\\d*)\\. (?P0|[1-9]\\d*)\\. diff --git a/weave/version.py b/weave/version.py index 70f670abc213..bcc1d5499b2d 100644 --- a/weave/version.py +++ b/weave/version.py @@ -44,4 +44,4 @@ """ -VERSION = "0.51.25-dev0" +VERSION = "0.51.25" From 76bae4593e14bf1cbf79391c6ef29e361c4c76f3 Mon Sep 17 00:00:00 2001 From: Weave Build Bot Date: Tue, 17 Dec 2024 17:50:15 +0000 Subject: [PATCH 23/62] =?UTF-8?q?Release=20version:=200.51.25=20=E2=86=92?= =?UTF-8?q?=200.51.26-dev0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pyproject.toml | 2 +- weave/version.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e8f9b5762df2..660fab30960f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -226,7 +226,7 @@ module = "weave_query.*" ignore_errors = true [tool.bumpversion] -current_version = "0.51.25" +current_version = "0.51.26-dev0" parse = """(?x) (?P0|[1-9]\\d*)\\. (?P0|[1-9]\\d*)\\. diff --git a/weave/version.py b/weave/version.py index bcc1d5499b2d..15fdd261727d 100644 --- a/weave/version.py +++ b/weave/version.py @@ -44,4 +44,4 @@ """ -VERSION = "0.51.25" +VERSION = "0.51.26-dev0" From efc4068312670254a9ce4a5ad75ba2657e1e1e53 Mon Sep 17 00:00:00 2001 From: Tim Sweeney Date: Tue, 17 Dec 2024 11:02:49 -0800 Subject: [PATCH 24/62] chore(weave): Refactor and rename code to more appropriately handle `builtin_object_class` not `base_object_class` (#3229) * initial changes * change to BUILTIN_OBJECT_REGISTRY * change to BUILTIN_OBJECT_REGISTRY * change to big change to builtin * wow, this is getting to be a lot * lint * lint * fix generation * i think complete * fixed a few errros * fixed a few names * little touchups * comment --- weave-js/scripts/generate-schemas.sh | 12 ++-- .../humanAnnotationTypes.ts | 2 +- .../StructuredFeedback/tsHumanFeedback.ts | 2 +- .../pages/CallPage/CallScoresViewer.tsx | 6 +- .../LeaderboardListingPage.tsx | 7 ++- .../pages/LeaderboardPage/LeaderboardPage.tsx | 6 +- .../ScorersPage/AnnotationScorerForm.tsx | 4 +- .../pages/ScorersPage/LLMJudgeScorerForm.tsx | 8 +-- ...ses.zod.ts => builtinObjectClasses.zod.ts} | 2 +- ...s => generatedBuiltinObjectClasses.zod.ts} | 10 ++-- ...Query.test.ts => objectClassQuery.test.ts} | 12 ++-- ...bjectClassQuery.ts => objectClassQuery.ts} | 56 +++++++++++-------- .../traceServerClientTypes.ts | 2 +- .../types/leaderboardConfigType.ts | 2 +- 14 files changed, 70 insertions(+), 61 deletions(-) rename weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/{baseObjectClasses.zod.ts => builtinObjectClasses.zod.ts} (90%) rename weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/{generatedBaseObjectClasses.zod.ts => generatedBuiltinObjectClasses.zod.ts} (92%) rename weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/{baseObjectClassQuery.test.ts => objectClassQuery.test.ts} (93%) rename weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/{baseObjectClassQuery.ts => objectClassQuery.ts} (63%) diff --git a/weave-js/scripts/generate-schemas.sh b/weave-js/scripts/generate-schemas.sh index 545d81e17afb..7fb7ddc7ecce 100644 --- a/weave-js/scripts/generate-schemas.sh +++ b/weave-js/scripts/generate-schemas.sh @@ -3,8 +3,8 @@ # Exit on error set -e -SCHEMA_INPUT_PATH="../weave/trace_server/interface/base_object_classes/generated/generated_base_object_class_schemas.json" -SCHEMA_OUTPUT_PATH="./src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts" +SCHEMA_INPUT_PATH="../weave/trace_server/interface/builtin_object_classes/generated/generated_builtin_object_class_schemas.json" +SCHEMA_OUTPUT_PATH="./src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts" echo "Generating schemas..." @@ -13,10 +13,10 @@ yarn quicktype -s schema "$SCHEMA_INPUT_PATH" -o "$SCHEMA_OUTPUT_PATH" --lang ty # Transform the schema to extract the type map sed -i.bak ' - # Find the GeneratedBaseObjectClassesZodSchema definition and capture its contents - /export const GeneratedBaseObjectClassesZodSchema = z.object({/,/});/ { + # Find the GeneratedBuiltinObjectClassesZodSchema definition and capture its contents + /export const GeneratedBuiltinObjectClassesZodSchema = z.object({/,/});/ { # Replace the opening line with typeMap declaration - s/export const GeneratedBaseObjectClassesZodSchema = z.object({/export const baseObjectClassRegistry = ({/ + s/export const GeneratedBuiltinObjectClassesZodSchema = z.object({/export const builtinObjectClassRegistry = ({/ # Store the pattern h # If this is the last line (with closing brace), append the schema definition @@ -27,7 +27,7 @@ sed -i.bak ' s/.*// i\ \ -export const GeneratedBaseObjectClassesZodSchema = z.object(baseObjectClassRegistry) +export const GeneratedBuiltinObjectClassesZodSchema = z.object(builtinObjectClassRegistry) } } ' "$SCHEMA_OUTPUT_PATH" diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts index 8d3a89e9d248..2b675e244dc1 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts @@ -1,4 +1,4 @@ -import {AnnotationSpec} from '../../pages/wfReactInterface/generatedBaseObjectClasses.zod'; +import {AnnotationSpec} from '../../pages/wfReactInterface/generatedBuiltinObjectClasses.zod'; import {Feedback} from '../../pages/wfReactInterface/traceServerClientTypes'; export const HUMAN_ANNOTATION_BASE_TYPE = 'wandb.annotation'; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/tsHumanFeedback.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/tsHumanFeedback.ts index 6460d474b153..09b04378b9dc 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/tsHumanFeedback.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/tsHumanFeedback.ts @@ -1,6 +1,6 @@ import {useEffect, useMemo, useState} from 'react'; -import {useBaseObjectInstances} from '../../pages/wfReactInterface/baseObjectClassQuery'; +import {useBaseObjectInstances} from '../../pages/wfReactInterface/objectClassQuery'; import { TraceObjQueryReq, TraceObjSchema, diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallScoresViewer.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallScoresViewer.tsx index 0b4e9374a269..9ec2f3ff80ec 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallScoresViewer.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/CallPage/CallScoresViewer.tsx @@ -12,12 +12,12 @@ import {CellValue} from '../../../Browse2/CellValue'; import {NotApplicable} from '../../../Browse2/NotApplicable'; import {SmallRef} from '../../../Browse2/SmallRef'; import {StyledDataGrid} from '../../StyledDataGrid'; // Import the StyledDataGrid component +import {WEAVE_REF_SCHEME} from '../wfReactInterface/constants'; +import {useWFHooks} from '../wfReactInterface/context'; import { TraceObjSchemaForBaseObjectClass, useBaseObjectInstances, -} from '../wfReactInterface/baseObjectClassQuery'; -import {WEAVE_REF_SCHEME} from '../wfReactInterface/constants'; -import {useWFHooks} from '../wfReactInterface/context'; +} from '../wfReactInterface/objectClassQuery'; import {useGetTraceServerClientContext} from '../wfReactInterface/traceServerClientContext'; import {Feedback} from '../wfReactInterface/traceServerClientTypes'; import {projectIdFromParts} from '../wfReactInterface/tsDataModelHooks'; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardListingPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardListingPage.tsx index 52d6795806c8..6d495ec96292 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardListingPage.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardListingPage.tsx @@ -12,8 +12,8 @@ import {SimplePageLayout} from '../common/SimplePageLayout'; import {ObjectVersionsTable} from '../ObjectVersionsPage'; import { useBaseObjectInstances, - useCreateBaseObjectInstance, -} from '../wfReactInterface/baseObjectClassQuery'; + useCreateBuiltinObjectInstance, +} from '../wfReactInterface/objectClassQuery'; import {sanitizeObjectId} from '../wfReactInterface/traceServerDirectClient'; import { convertTraceServerObjectVersionToSchema, @@ -162,7 +162,8 @@ const generateLeaderboardId = () => { }; const useCreateLeaderboard = (entity: string, project: string) => { - const createLeaderboardInstance = useCreateBaseObjectInstance('Leaderboard'); + const createLeaderboardInstance = + useCreateBuiltinObjectInstance('Leaderboard'); const createLeaderboard = async () => { const objectId = sanitizeObjectId(generateLeaderboardId()); diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardPage.tsx index 6fac8eaa599f..57a3eee4cd1a 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardPage.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/LeaderboardPage/LeaderboardPage.tsx @@ -26,8 +26,8 @@ import {LeaderboardObjectVal} from '../../views/Leaderboard/types/leaderboardCon import {SimplePageLayout} from '../common/SimplePageLayout'; import { useBaseObjectInstances, - useCreateBaseObjectInstance, -} from '../wfReactInterface/baseObjectClassQuery'; + useCreateBuiltinObjectInstance, +} from '../wfReactInterface/objectClassQuery'; import {projectIdFromParts} from '../wfReactInterface/tsDataModelHooks'; import {LeaderboardConfigEditor} from './LeaderboardConfigEditor'; @@ -131,7 +131,7 @@ const useUpdateLeaderboard = ( project: string, objectId: string ) => { - const createLeaderboard = useCreateBaseObjectInstance('Leaderboard'); + const createLeaderboard = useCreateBuiltinObjectInstance('Leaderboard'); const updateLeaderboard = async (leaderboardVal: LeaderboardObjectVal) => { return await createLeaderboard({ diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/AnnotationScorerForm.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/AnnotationScorerForm.tsx index a478437facbf..77b993e1f0f1 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/AnnotationScorerForm.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/AnnotationScorerForm.tsx @@ -2,7 +2,7 @@ import {Box} from '@material-ui/core'; import React, {FC, useCallback, useEffect, useState} from 'react'; import {z} from 'zod'; -import {createBaseObjectInstance} from '../wfReactInterface/baseObjectClassQuery'; +import {createBuiltinObjectInstance} from '../wfReactInterface/objectClassQuery'; import {TraceServerClient} from '../wfReactInterface/traceServerClient'; import {sanitizeObjectId} from '../wfReactInterface/traceServerDirectClient'; import {projectIdFromParts} from '../wfReactInterface/tsDataModelHooks'; @@ -86,7 +86,7 @@ export const onAnnotationScorerSave = async ( ) => { const jsonSchemaType = convertTypeToJsonSchemaType(data.Type.type); const typeExtras = convertTypeExtrasToJsonSchema(data); - return createBaseObjectInstance(client, 'AnnotationSpec', { + return createBuiltinObjectInstance(client, 'AnnotationSpec', { obj: { project_id: projectIdFromParts({entity, project}), object_id: sanitizeObjectId(data.Name), diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/LLMJudgeScorerForm.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/LLMJudgeScorerForm.tsx index 64823e9d5517..74b9a83860a6 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/LLMJudgeScorerForm.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ScorersPage/LLMJudgeScorerForm.tsx @@ -10,9 +10,9 @@ import _ from 'lodash'; import React, {FC, useCallback, useState} from 'react'; import {z} from 'zod'; -import {LlmJudgeActionSpecSchema} from '../wfReactInterface/baseObjectClasses.zod'; -import {createBaseObjectInstance} from '../wfReactInterface/baseObjectClassQuery'; -import {ActionSpecSchema} from '../wfReactInterface/generatedBaseObjectClasses.zod'; +import {LlmJudgeActionSpecSchema} from '../wfReactInterface/builtinObjectClasses.zod'; +import {ActionSpecSchema} from '../wfReactInterface/generatedBuiltinObjectClasses.zod'; +import {createBuiltinObjectInstance} from '../wfReactInterface/objectClassQuery'; import {TraceServerClient} from '../wfReactInterface/traceServerClient'; import {projectIdFromParts} from '../wfReactInterface/tsDataModelHooks'; import {AutocompleteWithLabel} from './FormComponents'; @@ -185,7 +185,7 @@ export const onLLMJudgeScorerSave = async ( config: judgeAction, }); - return createBaseObjectInstance(client, 'ActionSpec', { + return createBuiltinObjectInstance(client, 'ActionSpec', { obj: { project_id: projectIdFromParts({entity, project}), object_id: objectId, diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClasses.zod.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/builtinObjectClasses.zod.ts similarity index 90% rename from weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClasses.zod.ts rename to weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/builtinObjectClasses.zod.ts index 627e23604f3e..dc714d679cd2 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClasses.zod.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/builtinObjectClasses.zod.ts @@ -1,5 +1,5 @@ /** - * This file contains zod schemas for our baseObjectClasses that are not + * This file contains zod schemas for our builtinObjectClasses that are not * correctly / completely generated by the json-schema to zod converter. */ diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts similarity index 92% rename from weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts rename to weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts index da218f47a85c..5a1c4bbf2327 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts @@ -71,7 +71,7 @@ export const TestOnlyExampleSchema = z.object({ }); export type TestOnlyExample = z.infer; -export const baseObjectClassRegistry = { +export const builtinObjectClassRegistry = { ActionSpec: ActionSpecSchema, AnnotationSpec: AnnotationSpecSchema, Leaderboard: LeaderboardSchema, @@ -79,10 +79,10 @@ export const baseObjectClassRegistry = { TestOnlyNestedBaseObject: TestOnlyNestedBaseObjectSchema, }; -export const GeneratedBaseObjectClassesZodSchema = z.object( - baseObjectClassRegistry +export const GeneratedBuiltinObjectClassesZodSchema = z.object( + builtinObjectClassRegistry ); -export type GeneratedBaseObjectClassesZod = z.infer< - typeof GeneratedBaseObjectClassesZodSchema +export type GeneratedBuiltinObjectClassesZod = z.infer< + typeof GeneratedBuiltinObjectClassesZodSchema >; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.test.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts similarity index 93% rename from weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.test.ts rename to weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts index 9918ae7f2857..ebc161e322ab 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.test.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.test.ts @@ -1,13 +1,13 @@ import {expectType} from 'tsd'; -import { - useBaseObjectInstances, - useCreateBaseObjectInstance, -} from './baseObjectClassQuery'; import { TestOnlyExample, TestOnlyExampleSchema, -} from './generatedBaseObjectClasses.zod'; +} from './generatedBuiltinObjectClasses.zod'; +import { + useBaseObjectInstances, + useCreateBuiltinObjectInstance, +} from './objectClassQuery'; import { TraceObjCreateReq, TraceObjCreateRes, @@ -74,7 +74,7 @@ describe('Type Tests', () => { it('useCreateCollectionObject return type matches expected structure', () => { type CreateCollectionObjectReturn = ReturnType< - typeof useCreateBaseObjectInstance<'TestOnlyExample'> + typeof useCreateBuiltinObjectInstance<'TestOnlyExample'> >; // Define the expected type structure diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.ts similarity index 63% rename from weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.ts rename to weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.ts index 6ceb39daa706..3782dce79f9f 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/baseObjectClassQuery.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/objectClassQuery.ts @@ -2,7 +2,7 @@ import {useDeepMemo} from '@wandb/weave/hookUtils'; import {useEffect, useRef, useState} from 'react'; import {z} from 'zod'; -import {baseObjectClassRegistry} from './generatedBaseObjectClasses.zod'; +import {builtinObjectClassRegistry} from './generatedBuiltinObjectClasses.zod'; import {TraceServerClient} from './traceServerClient'; import {useGetTraceServerClientContext} from './traceServerClientContext'; import { @@ -13,17 +13,24 @@ import { } from './traceServerClientTypes'; import {Loadable} from './wfDataModelHooksInterface'; -type BaseObjectClassRegistry = typeof baseObjectClassRegistry; -type BaseObjectClassRegistryKeys = keyof BaseObjectClassRegistry; -type BaseObjectClassType = z.infer< - BaseObjectClassRegistry[C] +type BuiltinObjectClassRegistry = typeof builtinObjectClassRegistry; +type BuiltinObjectClassRegistryKeys = keyof BuiltinObjectClassRegistry; +type BaseObjectClassType = z.infer< + BuiltinObjectClassRegistry[C] >; export type TraceObjSchemaForBaseObjectClass< - C extends BaseObjectClassRegistryKeys + C extends BuiltinObjectClassRegistryKeys > = TraceObjSchema, C>; -export const useBaseObjectInstances = ( +// Notice: this is still `base` object class, not `builtin` object class. +// This means we can search by base object class, but not builtin object class today. +// See https://github.com/wandb/weave/pull/3229 for more details. +// base_object_class: this is the name of the first subclass of any subclass of a weave Object class. +// object_class: the string of the actual class. +export const useBaseObjectInstances = < + C extends BuiltinObjectClassRegistryKeys +>( baseObjectClassName: C, req: TraceObjQueryReq ): Loadable>> => { @@ -56,12 +63,12 @@ export const useBaseObjectInstances = ( return {result: objects, loading}; }; -const getBaseObjectInstances = async ( +const getBaseObjectInstances = async ( client: TraceServerClient, baseObjectClassName: C, req: TraceObjQueryReq ): Promise, C>>> => { - const knownObjectClass = baseObjectClassRegistry[baseObjectClassName]; + const knownObjectClass = builtinObjectClassRegistry[baseObjectClassName]; if (!knownObjectClass) { console.warn(`Unknown object class: ${baseObjectClassName}`); return []; @@ -92,41 +99,42 @@ const getBaseObjectInstances = async ( ); }; -export const useCreateBaseObjectInstance = < - C extends BaseObjectClassRegistryKeys, +export const useCreateBuiltinObjectInstance = < + C extends BuiltinObjectClassRegistryKeys, T = BaseObjectClassType >( - baseObjectClassName: C + objectClassName: C ): ((req: TraceObjCreateReq) => Promise) => { const getTsClient = useGetTraceServerClientContext(); const client = getTsClient(); return (req: TraceObjCreateReq) => - createBaseObjectInstance(client, baseObjectClassName, req); + createBuiltinObjectInstance(client, objectClassName, req); }; -export const createBaseObjectInstance = async < - C extends BaseObjectClassRegistryKeys, +export const createBuiltinObjectInstance = async < + C extends BuiltinObjectClassRegistryKeys, T = BaseObjectClassType >( client: TraceServerClient, - baseObjectClassName: C, + builtinObjectClassName: C, req: TraceObjCreateReq ): Promise => { if ( - req.obj.set_base_object_class != null && - req.obj.set_base_object_class !== baseObjectClassName + req.obj.builtin_object_class != null && + req.obj.builtin_object_class !== builtinObjectClassName ) { throw new Error( - `set_base_object_class must match baseObjectClassName: ${baseObjectClassName}` + `object_class must match objectClassName: ${builtinObjectClassName}` ); } - const knownBaseObjectClass = baseObjectClassRegistry[baseObjectClassName]; - if (!knownBaseObjectClass) { - throw new Error(`Unknown object class: ${baseObjectClassName}`); + const knownBuiltinObjectClass = + builtinObjectClassRegistry[builtinObjectClassName]; + if (!knownBuiltinObjectClass) { + throw new Error(`Unknown object class: ${builtinObjectClassName}`); } - const verifiedObject = knownBaseObjectClass.safeParse(req.obj.val); + const verifiedObject = knownBuiltinObjectClass.safeParse(req.obj.val); if (!verifiedObject.success) { throw new Error( @@ -138,7 +146,7 @@ export const createBaseObjectInstance = async < ...req, obj: { ...req.obj, - set_base_object_class: baseObjectClassName, + builtin_object_class: builtinObjectClassName, }, }; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts index c396962f0fb1..2ad7efb25642 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/traceServerClientTypes.ts @@ -243,7 +243,7 @@ export type TraceObjCreateReq = { project_id: string; object_id: string; val: T; - set_base_object_class?: string; + builtin_object_class?: string; }; }; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/views/Leaderboard/types/leaderboardConfigType.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/views/Leaderboard/types/leaderboardConfigType.ts index 5207633ebcaf..4e28bf19d712 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/views/Leaderboard/types/leaderboardConfigType.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/views/Leaderboard/types/leaderboardConfigType.ts @@ -1,4 +1,4 @@ -import {Leaderboard} from '../../../pages/wfReactInterface/generatedBaseObjectClasses.zod'; +import {Leaderboard} from '../../../pages/wfReactInterface/generatedBuiltinObjectClasses.zod'; export const ALL_VALUE = '*'; From 588012f25efa1759a83dff42f815cce87f4c43d5 Mon Sep 17 00:00:00 2001 From: Tim Sweeney Date: Tue, 17 Dec 2024 11:03:27 -0800 Subject: [PATCH 25/62] chore(weave): Fix notebook docs: OpenAI and model_output #3274 --- docs/intro_notebook.ipynb | 19 ++++++++++++++++--- docs/notebooks/audio_with_weave.ipynb | 13 +++++++++++++ docs/notebooks/chain_of_density.ipynb | 5 ++--- docs/notebooks/codegen.ipynb | 17 +++++++++++++++-- docs/notebooks/dspy_prompt_optimization.ipynb | 5 ++--- docs/notebooks/feedback_prod.ipynb | 14 +++++++++++++- .../multi-agent-structured-output.ipynb | 13 +++++++++++++ .../notebooks/notdiamond_custom_routing.ipynb | 2 +- examples/tutorial_scripts/05_eval_pipeline.py | 4 ++-- .../tutorial_scripts/06_eval_pipeline_all.py | 4 ++-- ...nai_proxy_quickstart_enterprise_mode.ipynb | 13 +++++++++++++ 11 files changed, 92 insertions(+), 17 deletions(-) diff --git a/docs/intro_notebook.ipynb b/docs/intro_notebook.ipynb index d21cc81336fe..ecf9e612ec42 100644 --- a/docs/intro_notebook.ipynb +++ b/docs/intro_notebook.ipynb @@ -11,7 +11,6 @@ "---\n", "docusaurus_head_meta::end -->\n", "\n", - "" ] }, @@ -54,6 +53,20 @@ "!pip install weave openai set-env-colab-kaggle-dotenv" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "5e188ab8", + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "code", "execution_count": null, @@ -586,9 +599,9 @@ "\n", "# Define any custom scoring function\n", "@weave.op()\n", - "def exact_match(expected: str, model_output: dict) -> dict:\n", + "def exact_match(expected: str, output: dict) -> dict:\n", " # Here is where you'd define the logic to score the model output\n", - " return {\"match\": expected == model_output}\n", + " return {\"match\": expected == output}\n", "\n", "\n", "# Score your examples using scoring functions\n", diff --git a/docs/notebooks/audio_with_weave.ipynb b/docs/notebooks/audio_with_weave.ipynb index 9cf2526144af..881b39a5d8fe 100644 --- a/docs/notebooks/audio_with_weave.ipynb +++ b/docs/notebooks/audio_with_weave.ipynb @@ -55,6 +55,19 @@ "!pip install set-env-colab-kaggle-dotenv -q # for env var" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "markdown", "metadata": { diff --git a/docs/notebooks/chain_of_density.ipynb b/docs/notebooks/chain_of_density.ipynb index 9b6869d8c3a2..acf969d531b3 100644 --- a/docs/notebooks/chain_of_density.ipynb +++ b/docs/notebooks/chain_of_density.ipynb @@ -10,7 +10,6 @@ "---\n", "docusaurus_head_meta::end -->\n", "\n", - "" ] }, @@ -502,8 +501,8 @@ "source": [ "# Define the scorer function\n", "@weave.op()\n", - "def quality_scorer(instruction: str, model_output: dict) -> dict:\n", - " result = evaluate_summary(model_output[\"final_summary\"], instruction)\n", + "def quality_scorer(instruction: str, output: dict) -> dict:\n", + " result = evaluate_summary(output[\"final_summary\"], instruction)\n", " return result" ] }, diff --git a/docs/notebooks/codegen.ipynb b/docs/notebooks/codegen.ipynb index e354686d5562..90c7239d930f 100644 --- a/docs/notebooks/codegen.ipynb +++ b/docs/notebooks/codegen.ipynb @@ -67,6 +67,19 @@ "!pip install -qU autopep8 autoflake weave isort openai set-env-colab-kaggle-dotenv datasets" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "code", "execution_count": null, @@ -383,8 +396,8 @@ "outputs": [], "source": [ "@weave.op()\n", - "async def score_humaneval_test(test: str, entry_point: str, model_output: str):\n", - " generated_code = model_output\n", + "async def score_humaneval_test(test: str, entry_point: str, output: str):\n", + " generated_code = output\n", "\n", " # Extract test cases from the test string\n", " test_cases = re.findall(r\"assert.*\", test)\n", diff --git a/docs/notebooks/dspy_prompt_optimization.ipynb b/docs/notebooks/dspy_prompt_optimization.ipynb index 74eba9f390f8..14afde3f6345 100644 --- a/docs/notebooks/dspy_prompt_optimization.ipynb +++ b/docs/notebooks/dspy_prompt_optimization.ipynb @@ -10,7 +10,6 @@ "---\n", "docusaurus_head_meta::end -->\n", "\n", - "" ] }, @@ -300,8 +299,8 @@ "outputs": [], "source": [ "@weave.op()\n", - "def weave_evaluation_scorer(answer: str, model_output: Output) -> dict:\n", - " return {\"match\": int(answer.lower() == model_output[\"answer\"].lower())}" + "def weave_evaluation_scorer(answer: str, output: Output) -> dict:\n", + " return {\"match\": int(answer.lower() == output[\"answer\"].lower())}" ] }, { diff --git a/docs/notebooks/feedback_prod.ipynb b/docs/notebooks/feedback_prod.ipynb index fad44ddd310f..7cdcaf716348 100644 --- a/docs/notebooks/feedback_prod.ipynb +++ b/docs/notebooks/feedback_prod.ipynb @@ -10,7 +10,6 @@ "---\n", "docusaurus_head_meta::end -->\n", "\n", - "" ] }, @@ -49,6 +48,19 @@ "!pip install weave openai streamlit" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/docs/notebooks/multi-agent-structured-output.ipynb b/docs/notebooks/multi-agent-structured-output.ipynb index 0db085fead47..41ea08dbd511 100644 --- a/docs/notebooks/multi-agent-structured-output.ipynb +++ b/docs/notebooks/multi-agent-structured-output.ipynb @@ -63,6 +63,19 @@ "!pip install -qU openai weave wandb" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "markdown", "metadata": { diff --git a/docs/notebooks/notdiamond_custom_routing.ipynb b/docs/notebooks/notdiamond_custom_routing.ipynb index 4a6f52a2d899..8ae3041b69aa 100644 --- a/docs/notebooks/notdiamond_custom_routing.ipynb +++ b/docs/notebooks/notdiamond_custom_routing.ipynb @@ -251,7 +251,7 @@ "outputs": [], "source": [ "@weave.op()\n", - "def is_correct(score: int, model_output: dict) -> dict:\n", + "def is_correct(score: int, output: dict) -> dict:\n", " # We hack score, since we already have model responses\n", " return {\"correct\": score}\n", "\n", diff --git a/examples/tutorial_scripts/05_eval_pipeline.py b/examples/tutorial_scripts/05_eval_pipeline.py index 0a6a5baf9ab8..a4f2296b44a8 100644 --- a/examples/tutorial_scripts/05_eval_pipeline.py +++ b/examples/tutorial_scripts/05_eval_pipeline.py @@ -64,8 +64,8 @@ async def predict(self, sentence: str) -> dict: @weave.op() -def fruit_name_score(target: dict, model_output: dict) -> dict: - return {"correct": target["fruit"] == model_output["fruit"]} +def fruit_name_score(target: dict, output: dict) -> dict: + return {"correct": target["fruit"] == output["fruit"]} evaluation = weave.Evaluation( diff --git a/examples/tutorial_scripts/06_eval_pipeline_all.py b/examples/tutorial_scripts/06_eval_pipeline_all.py index 0d5fe8fd3b2e..8d3ccce430f7 100644 --- a/examples/tutorial_scripts/06_eval_pipeline_all.py +++ b/examples/tutorial_scripts/06_eval_pipeline_all.py @@ -65,8 +65,8 @@ async def predict(self, sentence: str) -> dict: # We define a scoring functions to compare our model predictions with a ground truth label. @weave.op() -def fruit_name_score(target: dict, model_output: dict) -> dict: - return {"correct": target["fruit"] == model_output["fruit"]} +def fruit_name_score(target: dict, output: dict) -> dict: + return {"correct": target["fruit"] == output["fruit"]} # Finally, we run an evaluation of this model. diff --git a/weave_query/examples/prompts/llm_monitoring/openai_proxy_quickstart_enterprise_mode.ipynb b/weave_query/examples/prompts/llm_monitoring/openai_proxy_quickstart_enterprise_mode.ipynb index b2c1cda36cb5..e44c24274d7f 100644 --- a/weave_query/examples/prompts/llm_monitoring/openai_proxy_quickstart_enterprise_mode.ipynb +++ b/weave_query/examples/prompts/llm_monitoring/openai_proxy_quickstart_enterprise_mode.ipynb @@ -25,6 +25,19 @@ "!pip install -qqq openai" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%%capture\n", + "# Temporary workaround to fix bug in openai:\n", + "# TypeError: Client.__init__() got an unexpected keyword argument 'proxies'\n", + "# See https://community.openai.com/t/error-with-openai-1-56-0-client-init-got-an-unexpected-keyword-argument-proxies/1040332/15\n", + "!pip install \"httpx<0.28\"" + ] + }, { "cell_type": "markdown", "metadata": {}, From 33aef16fd5d525a1b056833f82099d91a631c753 Mon Sep 17 00:00:00 2001 From: Tim Sweeney Date: Tue, 17 Dec 2024 12:38:55 -0800 Subject: [PATCH 26/62] chore(weave): Low hanging fruit for eval compare page performance (#3271) * init * done * lint --- .../tsDataModelHooksEvaluationComparison.ts | 32 ++++++++++++++++--- 1 file changed, 28 insertions(+), 4 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/tsDataModelHooksEvaluationComparison.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/tsDataModelHooksEvaluationComparison.ts index 847421464e36..ba8941a24c5e 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/tsDataModelHooksEvaluationComparison.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/tsDataModelHooksEvaluationComparison.ts @@ -176,11 +176,35 @@ const fetchEvaluationComparisonData = async ( }); // Kick off the trace query to get the actual trace data + // Note: we split this into 2 steps to ensure we only get level 2 children + // of the evaluations. This avoids massive overhead of fetching gigantic traces + // for every evaluation. const evalTraceIds = evalRes.calls.map(call => call.trace_id); - const evalTraceResProm = traceServerClient.callsStreamQuery({ - project_id: projectId, - filter: {trace_ids: evalTraceIds}, - }); + // First, get all the children of the evaluations (predictAndScoreCalls + summary) + const evalTraceResProm = traceServerClient + .callsStreamQuery({ + project_id: projectId, + filter: {trace_ids: evalTraceIds, parent_ids: evaluationCallIds}, + }) + .then(predictAndScoreCallRes => { + // Then, get all the children of those calls (predictions + scores) + const predictAndScoreIds = predictAndScoreCallRes.calls.map( + call => call.id + ); + return traceServerClient + .callsStreamQuery({ + project_id: projectId, + filter: {trace_ids: evalTraceIds, parent_ids: predictAndScoreIds}, + }) + .then(predictionsAndScoresCallsRes => { + return { + calls: [ + ...predictAndScoreCallRes.calls, + ...predictionsAndScoresCallsRes.calls, + ], + }; + }); + }); const evaluationCallCache: {[callId: string]: EvaluationEvaluateCallSchema} = Object.fromEntries( From b978a7fbb9f0d2de1d642597f12b7510e5af6cd5 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Tue, 17 Dec 2024 14:53:26 -0800 Subject: [PATCH 27/62] style(weave): LLM dropdown UX improvements (#3276) * LLM dropdown UX improvements * make llm dd wider, capitalize variables --- .../PlaygroundChat/LLMDropdown.tsx | 32 +++++++++++-------- .../pages/PlaygroundPage/llmMaxTokens.ts | 4 +-- .../PlaygroundPage/usePlaygroundState.ts | 7 ++++ 3 files changed, 27 insertions(+), 16 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx index 5dd696d2447b..fb0e280484a0 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx @@ -19,18 +19,22 @@ export const LLMDropdown: React.FC = ({value, onChange}) => { // for each provider, get all the LLMs that are supported by that provider label: LLM_PROVIDER_LABELS[provider], // filtering to the LLMs that are supported by that provider - options: Object.keys(LLM_MAX_TOKENS).reduce< - Array<{group: string; label: string; value: string}> - >((acc, llm) => { - if (LLM_MAX_TOKENS[llm as LLMMaxTokensKey].provider === provider) { - acc.push({ - group: provider, - label: llm, - value: llm, - }); - } - return acc; - }, []), + options: Object.keys(LLM_MAX_TOKENS) + .reduce>( + (acc, llm) => { + if (LLM_MAX_TOKENS[llm as LLMMaxTokensKey].provider === provider) { + acc.push({ + group: provider, + // add provider to the label if the LLM is not already prefixed with it + label: llm.includes(provider) ? llm : provider + '/' + llm, + value: llm, + }); + } + return acc; + }, + [] + ) + .sort((a, b) => a.label.localeCompare(b.label)), })); return ( @@ -40,11 +44,11 @@ export const LLMDropdown: React.FC = ({value, onChange}) => { maxWidth: '100%', '& .MuiOutlinedInput-root': { width: 'max-content', - maxWidth: '200px', + maxWidth: '300px', }, '& > div': { width: 'max-content', - maxWidth: '200px', + maxWidth: '300px', }, '& .MuiAutocomplete-popper, & [class*="-menu"]': { width: '300px !important', diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts index 405d7f021775..123e8f34af24 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts @@ -397,8 +397,8 @@ export const LLM_PROVIDER_LABELS: Record< > = { openai: 'OpenAI', anthropic: 'Anthropic', - gemini: 'Gemini', + gemini: 'Google Gemini', groq: 'Groq', - bedrock: 'Bedrock', + bedrock: 'AWS Bedrock', xai: 'xAI', }; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/usePlaygroundState.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/usePlaygroundState.ts index ec50825cc23f..59536222a968 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/usePlaygroundState.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/usePlaygroundState.ts @@ -119,6 +119,13 @@ export const usePlaygroundState = () => { if (LLM_MAX_TOKENS_KEYS.includes(inputs.model as LLMMaxTokensKey)) { newState.model = inputs.model as LLMMaxTokensKey; } else { + // Allows for bedrock/us.amazon.nova-micro-v1:0 to map to amazon.nova-micro-v1:0 + // Allows for gpt-4o-mini to map to gpt-4o-mini-2024-07-18 + newState.model = LLM_MAX_TOKENS_KEYS.find( + key => key.includes(inputs.model) || inputs.model.includes(key) + ) as LLMMaxTokensKey; + } + if (newState.model === undefined) { newState.model = DEFAULT_MODEL; } } From b28adb0b89fa3eaafcd6230988e699e5284a09a8 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Tue, 17 Dec 2024 15:04:55 -0800 Subject: [PATCH 28/62] chore(weave): Fix call query on the Playground (#3275) * Fix call query on the Playground * move costs field * pr comments/cleanup --- .../pages/PlaygroundPage/PlaygroundPage.tsx | 39 ++++++++++++------- 1 file changed, 25 insertions(+), 14 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx index 57f954e7ea6b..4cadba37db91 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx @@ -50,21 +50,20 @@ export const PlaygroundPageInner = (props: PlaygroundPageProps) => { const {useCall, useCalls} = useWFHooks(); const [settingsTab, setSettingsTab] = useState(0); + const callKey = useMemo(() => { + return props.callId + ? { + entity: props.entity, + project: props.project, + callId: props.callId, + } + : null; + }, [props.entity, props.project, props.callId]); - const call = useCall( - useMemo(() => { - return props.callId - ? { - entity: props.entity, - project: props.project, - callId: props.callId, - } - : null; - }, [props.entity, props.project, props.callId]), - { - includeCosts: true, - } - ); + const call = useCall(callKey); + const callWithCosts = useCall(callKey, { + includeCosts: true, + }); const {result: calls} = useCalls( props.entity, @@ -103,6 +102,18 @@ export const PlaygroundPageInner = (props: PlaygroundPageProps) => { // eslint-disable-next-line react-hooks/exhaustive-deps }, [call.loading]); + useEffect(() => { + if (!callWithCosts.loading && callWithCosts.result) { + if (callWithCosts.result.traceCall?.inputs) { + setPlaygroundStateFromTraceCall(callWithCosts.result.traceCall); + } + } + }, [ + callWithCosts.loading, + setPlaygroundStateFromTraceCall, + callWithCosts.result, + ]); + useEffect(() => { setPlaygroundStates(prev => { const newStates = [...prev]; From 929daf5fefcb4152496ea49443ac072cb568bf38 Mon Sep 17 00:00:00 2001 From: Griffin Tarpenning Date: Tue, 17 Dec 2024 15:28:20 -0800 Subject: [PATCH 29/62] chore(weave): refactor objects query into a simple query builder (#3223) --- tests/trace/test_objects_query_builder.py | 291 +++++++++++++++++ .../clickhouse_trace_server_batched.py | 274 ++++------------ weave/trace_server/objects_query_builder.py | 305 ++++++++++++++++++ 3 files changed, 656 insertions(+), 214 deletions(-) create mode 100644 tests/trace/test_objects_query_builder.py create mode 100644 weave/trace_server/objects_query_builder.py diff --git a/tests/trace/test_objects_query_builder.py b/tests/trace/test_objects_query_builder.py new file mode 100644 index 000000000000..77662655b195 --- /dev/null +++ b/tests/trace/test_objects_query_builder.py @@ -0,0 +1,291 @@ +import pytest + +from weave.trace_server import trace_server_interface as tsi +from weave.trace_server.objects_query_builder import ( + ObjectMetadataQueryBuilder, + _make_conditions_part, + _make_limit_part, + _make_object_id_conditions_part, + _make_offset_part, + _make_sort_part, + make_objects_val_query_and_parameters, +) + + +def test_make_limit_part(): + assert _make_limit_part(None) == "" + assert _make_limit_part(10) == "LIMIT 10" + assert _make_limit_part(0) == "LIMIT 0" + + +def test_make_offset_part(): + assert _make_offset_part(None) == "" + assert _make_offset_part(5) == "OFFSET 5" + assert _make_offset_part(0) == "OFFSET 0" + + +def test_make_sort_part(): + assert _make_sort_part(None) == "" + assert _make_sort_part([]) == "" + + sort_by = [tsi.SortBy(field="created_at", direction="asc")] + assert _make_sort_part(sort_by) == "ORDER BY created_at ASC" + + sort_by = [ + tsi.SortBy(field="created_at", direction="desc"), + tsi.SortBy(field="object_id", direction="asc"), + ] + assert _make_sort_part(sort_by) == "ORDER BY created_at DESC, object_id ASC" + + # Invalid sort fields should be ignored + sort_by = [tsi.SortBy(field="invalid_field", direction="asc")] + assert _make_sort_part(sort_by) == "" + + +def test_make_conditions_part(): + assert _make_conditions_part(None) == "" + assert _make_conditions_part([]) == "" + assert _make_conditions_part(["condition1"]) == "WHERE condition1" + assert ( + _make_conditions_part(["condition1", "condition2"]) + == "WHERE ((condition1) AND (condition2))" + ) + + +def test_make_object_id_conditions_part(): + assert _make_object_id_conditions_part(None) == "" + assert _make_object_id_conditions_part([]) == "" + assert _make_object_id_conditions_part(["id = 1"]) == " AND id = 1" + assert ( + _make_object_id_conditions_part(["id = 1", "id = 2"]) + == " AND ((id = 1) AND (id = 2))" + ) + + +def test_object_query_builder_basic(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + assert "project_id = {project_id: String}" in builder.make_metadata_query() + assert builder.parameters["project_id"] == "test_project" + + +def test_object_query_builder_add_digest_condition(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + + # Test latest digest + builder.add_digests_conditions("latest") + assert "is_latest = 1" in builder.conditions_part + + # Test specific digest + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_digests_conditions("abc123") + assert "digest = {version_digest_0: String}" in builder.conditions_part + assert builder.parameters["version_digest_0"] == "abc123" + + +def test_object_query_builder_add_object_ids_condition(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + + # Test single object ID + builder.add_object_ids_condition(["obj1"]) + assert "object_id = {object_id: String}" in builder.object_id_conditions_part + assert builder.parameters["object_id"] == "obj1" + + # Test multiple object IDs + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_object_ids_condition(["obj1", "obj2"]) + assert ( + "object_id IN {object_ids: Array(String)}" in builder.object_id_conditions_part + ) + assert builder.parameters["object_ids"] == ["obj1", "obj2"] + + +def test_object_query_builder_add_is_op_condition(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_is_op_condition(True) + assert "is_op = 1" in builder.conditions_part + + +def test_object_query_builder_limit_offset(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + assert builder.limit_part == "" + assert builder.offset_part == "" + + builder.set_limit(10) + builder.set_offset(5) + assert builder.limit_part == "LIMIT 10" + assert builder.offset_part == "OFFSET 5" + + # Test invalid values + with pytest.raises(ValueError): + builder.set_limit(-1) + with pytest.raises(ValueError): + builder.set_offset(-1) + with pytest.raises(ValueError): + builder.set_limit(5) # Limit already set + with pytest.raises(ValueError): + builder.set_offset(10) # Offset already set + + +def test_object_query_builder_sort(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_order("created_at", "DESC") + assert builder.sort_part == "ORDER BY created_at DESC" + + with pytest.raises(ValueError): + builder.add_order("created_at", "INVALID") + + +STATIC_METADATA_QUERY_PART = """ +SELECT + project_id, + object_id, + created_at, + refs, + kind, + base_object_class, + digest, + version_index, + is_latest, + version_count, + is_op +FROM ( + SELECT + project_id, + object_id, + created_at, + kind, + base_object_class, + refs, + digest, + is_op, + row_number() OVER ( + PARTITION BY project_id, + kind, + object_id + ORDER BY created_at ASC + ) - 1 AS version_index, + count(*) OVER (PARTITION BY project_id, kind, object_id) as version_count, + if(version_index + 1 = version_count, 1, 0) AS is_latest + FROM ( + SELECT + project_id, + object_id, + created_at, + kind, + base_object_class, + refs, + digest, + if (kind = 'op', 1, 0) AS is_op, + row_number() OVER ( + PARTITION BY project_id, + kind, + object_id, + digest + ORDER BY created_at ASC + ) AS rn + FROM object_versions""" + + +def test_object_query_builder_metadata_query_basic(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_digests_conditions("latest") + + query = builder.make_metadata_query() + parameters = builder.parameters + + expected_query = f"""{STATIC_METADATA_QUERY_PART} + WHERE project_id = {{project_id: String}} + ) + WHERE rn = 1 +) +WHERE is_latest = 1""" + + assert query == expected_query + assert parameters == {"project_id": "test_project"} + + +def test_object_query_builder_metadata_query_with_limit_offset_sort(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + + limit = 10 + offset = 5 + + builder.set_limit(limit) + builder.set_offset(offset) + builder.add_order("created_at", "desc") + builder.add_object_ids_condition(["object_1"]) + builder.add_digests_conditions("digestttttttttttttttt", "another-one", "v2") + builder.add_base_object_classes_condition(["Model", "Model2"]) + + query = builder.make_metadata_query() + parameters = builder.parameters + + expected_query = f"""{STATIC_METADATA_QUERY_PART} + WHERE project_id = {{project_id: String}} AND object_id = {{object_id: String}} + ) + WHERE rn = 1 +) +WHERE ((((digest = {{version_digest_0: String}}) OR (digest = {{version_digest_1: String}}) OR (version_index = {{version_index_2: Int64}}))) AND (base_object_class IN {{base_object_classes: Array(String)}})) +ORDER BY created_at DESC +LIMIT 10 +OFFSET 5""" + + assert query == expected_query + assert parameters == { + "project_id": "test_project", + "object_id": "object_1", + "version_digest_0": "digestttttttttttttttt", + "version_digest_1": "another-one", + "version_index_2": 2, + "base_object_classes": ["Model", "Model2"], + } + + +def test_objects_query_metadata_op(): + builder = ObjectMetadataQueryBuilder(project_id="test_project") + builder.add_is_op_condition(True) + builder.add_object_ids_condition(["my_op"]) + builder.add_digests_conditions("v3") + + query = builder.make_metadata_query() + parameters = builder.parameters + + expected_query = f"""{STATIC_METADATA_QUERY_PART} + WHERE project_id = {{project_id: String}} AND object_id = {{object_id: String}} + ) + WHERE rn = 1 +) +WHERE ((is_op = 1) AND (version_index = {{version_index_0: Int64}}))""" + + assert query == expected_query + assert parameters == { + "project_id": "test_project", + "object_id": "my_op", + "version_index_0": 3, + } + + +def test_make_objects_val_query_and_parameters(): + project_id = "test_project" + object_ids = ["object_1"] + digests = ["digestttttttttttttttt", "digestttttttttttttttt2"] + + query, parameters = make_objects_val_query_and_parameters( + project_id, object_ids, digests + ) + + expected_query = """ + SELECT object_id, digest, any(val_dump) + FROM object_versions + WHERE project_id = {project_id: String} AND + object_id IN {object_ids: Array(String)} AND + digest IN {digests: Array(String)} + GROUP BY object_id, digest + """ + + assert query == expected_query + assert parameters == { + "project_id": "test_project", + "object_ids": ["object_1"], + "digests": ["digestttttttttttttttt", "digestttttttttttttttt2"], + } diff --git a/weave/trace_server/clickhouse_trace_server_batched.py b/weave/trace_server/clickhouse_trace_server_batched.py index 31e974a30040..973d51080e29 100644 --- a/weave/trace_server/clickhouse_trace_server_batched.py +++ b/weave/trace_server/clickhouse_trace_server_batched.py @@ -81,6 +81,11 @@ read_model_to_provider_info_map, ) from weave.trace_server.object_class_util import process_incoming_object_val +from weave.trace_server.objects_query_builder import ( + ObjectMetadataQueryBuilder, + format_metadata_objects_from_query_result, + make_objects_val_query_and_parameters, +) from weave.trace_server.orm import ParamBuilder, Row from weave.trace_server.secret_fetcher_context import _secret_fetcher_context from weave.trace_server.table_query_builder import ( @@ -97,7 +102,6 @@ from weave.trace_server.trace_server_common import ( DynamicBatchProcessor, LRUCache, - digest_is_version_like, empty_str_to_none, get_nested_key, hydrate_calls_with_feedback, @@ -525,40 +529,29 @@ def op_create(self, req: tsi.OpCreateReq) -> tsi.OpCreateRes: raise NotImplementedError() def op_read(self, req: tsi.OpReadReq) -> tsi.OpReadRes: - conds = [ - "is_op = 1", - "digest = {digest: String}", - ] - object_id_conditions = ["object_id = {object_id: String}"] - parameters = {"name": req.name, "digest": req.digest} - objs = self._select_objs_query( - req.project_id, - conditions=conds, - object_id_conditions=object_id_conditions, - parameters=parameters, - ) + object_query_builder = ObjectMetadataQueryBuilder(req.project_id) + object_query_builder.add_is_op_condition(True) + object_query_builder.add_digests_conditions(req.digest) + object_query_builder.add_object_ids_condition([req.name], "op_name") + + objs = self._select_objs_query(object_query_builder) if len(objs) == 0: raise NotFoundError(f"Obj {req.name}:{req.digest} not found") return tsi.OpReadRes(op_obj=_ch_obj_to_obj_schema(objs[0])) def ops_query(self, req: tsi.OpQueryReq) -> tsi.OpQueryRes: - parameters = {} - conds: list[str] = ["is_op = 1"] - object_id_conditions: list[str] = [] + object_query_builder = ObjectMetadataQueryBuilder(req.project_id) + object_query_builder.add_is_op_condition(True) if req.filter: if req.filter.op_names: - object_id_conditions.append("object_id IN {op_names: Array(String)}") - parameters["op_names"] = req.filter.op_names + object_query_builder.add_object_ids_condition( + req.filter.op_names, "op_names" + ) if req.filter.latest_only: - conds.append("is_latest = 1") + object_query_builder.add_is_latest_condition() - ch_objs = self._select_objs_query( - req.project_id, - conditions=conds, - object_id_conditions=object_id_conditions, - parameters=parameters, - ) + ch_objs = self._select_objs_query(object_query_builder) objs = [_ch_obj_to_obj_schema(call) for call in ch_objs] return tsi.OpQueryRes(op_objs=objs) @@ -588,61 +581,44 @@ def obj_create(self, req: tsi.ObjCreateReq) -> tsi.ObjCreateRes: return tsi.ObjCreateRes(digest=digest) def obj_read(self, req: tsi.ObjReadReq) -> tsi.ObjReadRes: - conds: list[str] = [] - object_id_conditions = ["object_id = {object_id: String}"] - parameters: dict[str, Union[str, int]] = {"object_id": req.object_id} - if req.digest == "latest": - conds.append("is_latest = 1") - else: - (is_version, version_index) = digest_is_version_like(req.digest) - if is_version: - conds.append("version_index = {version_index: UInt64}") - parameters["version_index"] = version_index - else: - conds.append("digest = {version_digest: String}") - parameters["version_digest"] = req.digest - objs = self._select_objs_query( - req.project_id, - conditions=conds, - object_id_conditions=object_id_conditions, - parameters=parameters, - ) + object_query_builder = ObjectMetadataQueryBuilder(req.project_id) + object_query_builder.add_digests_conditions(req.digest) + object_query_builder.add_object_ids_condition([req.object_id]) + + objs = self._select_objs_query(object_query_builder) if len(objs) == 0: raise NotFoundError(f"Obj {req.object_id}:{req.digest} not found") return tsi.ObjReadRes(obj=_ch_obj_to_obj_schema(objs[0])) def objs_query(self, req: tsi.ObjQueryReq) -> tsi.ObjQueryRes: - conds: list[str] = [] - object_id_conditions: list[str] = [] - parameters = {} + object_query_builder = ObjectMetadataQueryBuilder(req.project_id) if req.filter: if req.filter.is_op is not None: if req.filter.is_op: - conds.append("is_op = 1") + object_query_builder.add_is_op_condition(True) else: - conds.append("is_op = 0") + object_query_builder.add_is_op_condition(False) if req.filter.object_ids: - object_id_conditions.append("object_id IN {object_ids: Array(String)}") - parameters["object_ids"] = req.filter.object_ids + object_query_builder.add_object_ids_condition( + req.filter.object_ids, "object_ids" + ) if req.filter.latest_only: - conds.append("is_latest = 1") + object_query_builder.add_is_latest_condition() if req.filter.base_object_classes: - conds.append( - "base_object_class IN {base_object_classes: Array(String)}" + object_query_builder.add_base_object_classes_condition( + req.filter.base_object_classes ) - parameters["base_object_classes"] = req.filter.base_object_classes + if req.limit is not None: + object_query_builder.set_limit(req.limit) + if req.offset is not None: + object_query_builder.set_offset(req.offset) + if req.sort_by: + for sort in req.sort_by: + object_query_builder.add_order(sort.field, sort.direction) + metadata_only = req.metadata_only or False - objs = self._select_objs_query( - req.project_id, - conditions=conds, - object_id_conditions=object_id_conditions, - parameters=parameters, - metadata_only=req.metadata_only, - limit=req.limit, - offset=req.offset, - sort_by=req.sort_by, - ) + objs = self._select_objs_query(object_query_builder, metadata_only) return tsi.ObjQueryRes(objs=[_ch_obj_to_obj_schema(obj) for obj in objs]) @@ -950,7 +926,7 @@ def get_object_refs_root_val( ) -> Any: conds: list[str] = [] object_id_conds: list[str] = [] - parameters = {} + parameters: dict[str, Union[str, int]] = {} for ref_index, ref in enumerate(refs): if ref.version == "latest": @@ -979,12 +955,13 @@ def get_object_refs_root_val( if len(conds) > 0: conditions = [combine_conditions(conds, "OR")] object_id_conditions = [combine_conditions(object_id_conds, "OR")] - objs = self._select_objs_query( + object_query_builder = ObjectMetadataQueryBuilder( project_id=project_id_scope, conditions=conditions, object_id_conditions=object_id_conditions, parameters=parameters, ) + objs = self._select_objs_query(object_query_builder) for obj in objs: root_val_cache[make_obj_cache_key(obj)] = json.loads(obj.val_dump) @@ -1562,14 +1539,8 @@ def _insert_call_batch(self, batch: list) -> None: def _select_objs_query( self, - project_id: str, - conditions: Optional[list[str]] = None, - object_id_conditions: Optional[list[str]] = None, - parameters: Optional[dict[str, Any]] = None, - metadata_only: Optional[bool] = False, - limit: Optional[int] = None, - offset: Optional[int] = None, - sort_by: Optional[list[tsi.SortBy]] = None, + object_query_builder: ObjectMetadataQueryBuilder, + metadata_only: bool = False, ) -> list[SelectableCHObjSchema]: """ Main query for fetching objects. @@ -1587,146 +1558,21 @@ def _select_objs_query( if metadata_only is True, then we return early and dont grab the value. Otherwise, make a second query to grab the val_dump from the db """ - if not conditions: - conditions = ["1 = 1"] - if not object_id_conditions: - object_id_conditions = ["1 = 1"] - - conditions_part = combine_conditions(conditions, "AND") - object_id_conditions_part = combine_conditions(object_id_conditions, "AND") - - limit_part = "" - offset_part = "" - if limit is not None: - limit_part = f"LIMIT {int(limit)}" - if offset is not None: - offset_part = f" OFFSET {int(offset)}" - - sort_part = "" - if sort_by: - valid_sort_fields = {"object_id", "created_at"} - sort_clauses = [] - for sort in sort_by: - if sort.field in valid_sort_fields and sort.direction in { - "asc", - "desc", - }: - sort_clauses.append(f"{sort.field} {sort.direction.upper()}") - if sort_clauses: - sort_part = f"ORDER BY {', '.join(sort_clauses)}" - - if parameters is None: - parameters = {} - - select_without_val_dump_query = f""" - SELECT - project_id, - object_id, - created_at, - kind, - base_object_class, - refs, - digest, - is_op, - version_index, - version_count, - is_latest - FROM ( - SELECT project_id, - object_id, - created_at, - kind, - base_object_class, - refs, - digest, - is_op, - row_number() OVER ( - PARTITION BY project_id, - kind, - object_id - ORDER BY created_at ASC - ) - 1 AS version_index, - count(*) OVER (PARTITION BY project_id, kind, object_id) as version_count, - if(version_index + 1 = version_count, 1, 0) AS is_latest - FROM ( - SELECT project_id, - object_id, - created_at, - kind, - base_object_class, - refs, - digest, - if (kind = 'op', 1, 0) AS is_op, - row_number() OVER ( - PARTITION BY project_id, - kind, - object_id, - digest - ORDER BY created_at ASC - ) AS rn - FROM object_versions - WHERE project_id = {{project_id: String}} AND - {object_id_conditions_part} - ) - WHERE rn = 1 - ) - WHERE {conditions_part} - {sort_part} - {limit_part} - {offset_part} - """ - query_result = self._query_stream( - select_without_val_dump_query, - {"project_id": project_id, **parameters}, - ) - result: list[SelectableCHObjSchema] = [] - for row in query_result: - result.append( - SelectableCHObjSchema.model_validate( - dict( - zip( - [ - "project_id", - "object_id", - "created_at", - "kind", - "base_object_class", - "refs", - "digest", - "is_op", - "version_index", - "version_count", - "is_latest", - "val_dump", - ], - # Add an empty val_dump to the end of the row - list(row) + ["{}"], - ) - ) - ) - ) + obj_metadata_query = object_query_builder.make_metadata_query() + parameters = object_query_builder.parameters or {} + query_result = self._query_stream(obj_metadata_query, parameters) + metadata_result = format_metadata_objects_from_query_result(query_result) # -- Don't make second query for object values if metadata_only -- - if metadata_only: - return result + if metadata_only or len(metadata_result) == 0: + return metadata_result - # now get the val_dump for each object - object_ids = list({row.object_id for row in result}) - digests = list({row.digest for row in result}) - query = """ - SELECT object_id, digest, any(val_dump) - FROM object_versions - WHERE project_id = {project_id: String} AND - object_id IN {object_ids: Array(String)} AND - digest IN {digests: Array(String)} - GROUP BY object_id, digest - """ - parameters = { - "project_id": project_id, - "object_ids": object_ids, - "digests": digests, - } - query_result = self._query_stream(query, parameters) + value_query, value_parameters = make_objects_val_query_and_parameters( + project_id=object_query_builder.project_id, + object_ids=list({row.object_id for row in metadata_result}), + digests=list({row.digest for row in metadata_result}), + ) + query_result = self._query_stream(value_query, value_parameters) # Map (object_id, digest) to val_dump object_values: dict[tuple[str, str], Any] = {} for row in query_result: @@ -1734,9 +1580,9 @@ def _select_objs_query( object_values[(object_id, digest)] = val_dump # update the val_dump for each object - for obj in result: + for obj in metadata_result: obj.val_dump = object_values.get((obj.object_id, obj.digest), "{}") - return result + return metadata_result def _run_migrations(self) -> None: logger.info("Running migrations") diff --git a/weave/trace_server/objects_query_builder.py b/weave/trace_server/objects_query_builder.py new file mode 100644 index 000000000000..a5675c4b5c10 --- /dev/null +++ b/weave/trace_server/objects_query_builder.py @@ -0,0 +1,305 @@ +from collections.abc import Iterator +from typing import Any, Optional + +from weave.trace_server import trace_server_interface as tsi +from weave.trace_server.clickhouse_schema import SelectableCHObjSchema +from weave.trace_server.orm import combine_conditions +from weave.trace_server.trace_server_common import digest_is_version_like + +VALID_OBJECT_SORT_FIELDS = {"created_at", "object_id"} +VALID_SORT_DIRECTIONS = {"asc", "desc"} +OBJECT_METADATA_COLUMNS = [ + "project_id", + "object_id", + "created_at", + "refs", + "kind", + "base_object_class", + "digest", + "version_index", + "is_latest", + # columns not used in SelectableCHObjSchema(): + "version_count", + "is_op", +] + + +def _make_optional_part(query_keyword: str, part: Optional[str]) -> str: + if part is None or part == "": + return "" + return f"{query_keyword} {part}" + + +def _make_limit_part(limit: Optional[int]) -> str: + if limit is None: + return "" + return _make_optional_part("LIMIT", str(limit)) + + +def _make_offset_part(offset: Optional[int]) -> str: + if offset is None: + return "" + return _make_optional_part("OFFSET", str(offset)) + + +def _make_sort_part(sort_by: Optional[list[tsi.SortBy]]) -> str: + if not sort_by: + return "" + + sort_clauses = [] + for sort in sort_by: + if ( + sort.field in VALID_OBJECT_SORT_FIELDS + and sort.direction in VALID_SORT_DIRECTIONS + ): + sort_clause = f"{sort.field} {sort.direction.upper()}" + sort_clauses.append(sort_clause) + return _make_optional_part("ORDER BY", ", ".join(sort_clauses)) + + +def _make_conditions_part(conditions: Optional[list[str]]) -> str: + if not conditions: + return "" + conditions_str = combine_conditions(conditions, "AND") + return _make_optional_part("WHERE", conditions_str) + + +def _make_object_id_conditions_part( + object_id_conditions: Optional[list[str]], add_where_clause: bool = False +) -> str: + """ + Formats object_id_conditions into a query string. In this file is it only + used after the WHERE project_id... clause, but passing add_where_clause=True + adds a WHERE clause to the query string. + """ + if not object_id_conditions: + return "" + conditions_str = combine_conditions(object_id_conditions, "AND") + conditions_str_with_and = " " + _make_optional_part("AND", conditions_str) + if add_where_clause: + return "WHERE " + conditions_str_with_and + return conditions_str_with_and + + +def format_metadata_objects_from_query_result( + query_result: Iterator[tuple[Any, ...]], +) -> list[SelectableCHObjSchema]: + result = [] + for row in query_result: + # Add an empty val_dump to the end of the row + row_with_val_dump = row + ("{}",) + columns_with_val_dump = OBJECT_METADATA_COLUMNS + ["val_dump"] + row_dict = dict(zip(columns_with_val_dump, row_with_val_dump)) + row_model = SelectableCHObjSchema.model_validate(row_dict) + result.append(row_model) + return result + + +class ObjectMetadataQueryBuilder: + def __init__( + self, + project_id: str, + conditions: Optional[list[str]] = None, + object_id_conditions: Optional[list[str]] = None, + parameters: Optional[dict[str, Any]] = None, + ): + self.project_id = project_id + self.parameters: dict[str, Any] = parameters or {} + if not self.parameters.get(project_id): + self.parameters.update({"project_id": project_id}) + + self._conditions: list[str] = conditions or [] + self._object_id_conditions: list[str] = object_id_conditions or [] + self._limit: Optional[int] = None + self._offset: Optional[int] = None + self._sort_by: list[tsi.SortBy] = [] + + @property + def conditions_part(self) -> str: + return _make_conditions_part(self._conditions) + + @property + def object_id_conditions_part(self) -> str: + return _make_object_id_conditions_part(self._object_id_conditions) + + @property + def sort_part(self) -> str: + return _make_sort_part(self._sort_by) + + @property + def limit_part(self) -> str: + return _make_limit_part(self._limit) + + @property + def offset_part(self) -> str: + return _make_offset_part(self._offset) + + def _make_digest_condition( + self, digest: str, param_key: Optional[str] = None, index: Optional[int] = None + ) -> str: + """ + If digest is "latest", return the condition for the latest version. + Otherwise, return the condition for the version with the given digest. + If digest is a version like "v123", return the condition for the version + with the given version index. + If digest is a hash like "sha256" return the hash + Use index to make the param_key unique if there are multiple digests. + """ + if digest == "latest": + return "is_latest = 1" + + (is_version, version_index) = digest_is_version_like(digest) + if is_version: + param_key = param_key or "version_index" + return self._make_version_index_condition(version_index, param_key, index) + else: + param_key = param_key or "version_digest" + return self._make_version_digest_condition(digest, param_key, index) + + def _make_version_digest_condition( + self, digest: str, param_key: str, index: Optional[int] = None + ) -> str: + if index is not None: + param_key = f"{param_key}_{index}" + self.parameters.update({param_key: digest}) + return f"digest = {{{param_key}: String}}" + + def _make_version_index_condition( + self, version_index: int, param_key: str, index: Optional[int] = None + ) -> str: + if index is not None: + param_key = f"{param_key}_{index}" + self.parameters.update({param_key: version_index}) + return f"version_index = {{{param_key}: Int64}}" + + def add_digests_conditions(self, *digests: str) -> None: + digest_conditions = [] + for i, digest in enumerate(digests): + condition = self._make_digest_condition(digest, None, i) + digest_conditions.append(condition) + + digests_condition = combine_conditions(digest_conditions, "OR") + self._conditions.append(digests_condition) + + def add_object_ids_condition( + self, object_ids: list[str], param_key: Optional[str] = None + ) -> None: + if len(object_ids) == 1: + param_key = param_key or "object_id" + self._object_id_conditions.append(f"object_id = {{{param_key}: String}}") + self.parameters.update({param_key: object_ids[0]}) + else: + param_key = param_key or "object_ids" + self._object_id_conditions.append( + f"object_id IN {{{param_key}: Array(String)}}" + ) + self.parameters.update({param_key: object_ids}) + + def add_is_latest_condition(self) -> None: + self._conditions.append("is_latest = 1") + + def add_is_op_condition(self, is_op: bool) -> None: + if is_op: + self._conditions.append("is_op = 1") + else: + self._conditions.append("is_op = 0") + + def add_base_object_classes_condition(self, base_object_classes: list[str]) -> None: + self._conditions.append( + "base_object_class IN {base_object_classes: Array(String)}" + ) + self.parameters.update({"base_object_classes": base_object_classes}) + + def add_order(self, field: str, direction: str) -> None: + direction = direction.lower() + if direction not in ("asc", "desc"): + raise ValueError(f"Direction {direction} is not allowed") + self._sort_by.append(tsi.SortBy(field=field, direction=direction)) + + def set_limit(self, limit: int) -> None: + if limit < 0: + raise ValueError("Limit must be a positive integer") + if self._limit is not None: + raise ValueError("Limit can only be set once") + self._limit = limit + + def set_offset(self, offset: int) -> None: + if offset < 0: + raise ValueError("Offset must be a positive integer") + if self._offset is not None: + raise ValueError("Offset can only be set once") + self._offset = offset + + def make_metadata_query(self) -> str: + columns = ",\n ".join(OBJECT_METADATA_COLUMNS) + query = f""" +SELECT + {columns} +FROM ( + SELECT + project_id, + object_id, + created_at, + kind, + base_object_class, + refs, + digest, + is_op, + row_number() OVER ( + PARTITION BY project_id, + kind, + object_id + ORDER BY created_at ASC + ) - 1 AS version_index, + count(*) OVER (PARTITION BY project_id, kind, object_id) as version_count, + if(version_index + 1 = version_count, 1, 0) AS is_latest + FROM ( + SELECT + project_id, + object_id, + created_at, + kind, + base_object_class, + refs, + digest, + if (kind = 'op', 1, 0) AS is_op, + row_number() OVER ( + PARTITION BY project_id, + kind, + object_id, + digest + ORDER BY created_at ASC + ) AS rn + FROM object_versions + WHERE project_id = {{project_id: String}}{self.object_id_conditions_part} + ) + WHERE rn = 1 +)""" + if self.conditions_part: + query += f"\n{self.conditions_part}" + if self.sort_part: + query += f"\n{self.sort_part}" + if self.limit_part: + query += f"\n{self.limit_part}" + if self.offset_part: + query += f"\n{self.offset_part}" + return query + + +def make_objects_val_query_and_parameters( + project_id: str, object_ids: list[str], digests: list[str] +) -> tuple[str, dict[str, Any]]: + query = """ + SELECT object_id, digest, any(val_dump) + FROM object_versions + WHERE project_id = {project_id: String} AND + object_id IN {object_ids: Array(String)} AND + digest IN {digests: Array(String)} + GROUP BY object_id, digest + """ + parameters = { + "project_id": project_id, + "object_ids": object_ids, + "digests": digests, + } + return query, parameters From 0904899bcfd8dd3651bb1d94deb3dc543a275707 Mon Sep 17 00:00:00 2001 From: Jamie Rasmussen <112953339+jamie-rasmussen@users.noreply.github.com> Date: Tue, 17 Dec 2024 18:00:42 -0600 Subject: [PATCH 30/62] chore(ui): Fix React warning in PopupDropdown (#3277) --- weave-js/src/common/components/PopupDropdown.tsx | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/weave-js/src/common/components/PopupDropdown.tsx b/weave-js/src/common/components/PopupDropdown.tsx index 23423506f50b..8efe1468fcdb 100644 --- a/weave-js/src/common/components/PopupDropdown.tsx +++ b/weave-js/src/common/components/PopupDropdown.tsx @@ -56,7 +56,11 @@ const PopupDropdownComp: React.FC = props => { (opts, i: number) => ( { opts.onClick?.(e); handleClose(); From af7e4215f084a079348575e546b4eee22334e7da Mon Sep 17 00:00:00 2001 From: Adrian Swanberg Date: Tue, 17 Dec 2024 17:08:50 -0800 Subject: [PATCH 31/62] fix(weave): Bump feedback payload size limit to 1 MiB (#2926) * fix(weave): Bump feedback payload size limit to 1 MiB * revert conftest lol --- tests/trace/test_client_feedback.py | 2 +- weave/trace_server/clickhouse_trace_server_batched.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/trace/test_client_feedback.py b/tests/trace/test_client_feedback.py index 82d87198e133..c01127370a5a 100644 --- a/tests/trace/test_client_feedback.py +++ b/tests/trace/test_client_feedback.py @@ -228,7 +228,7 @@ def test_feedback_payload(client): def test_feedback_create_too_large(client): project_id = client._project_id() - value = "a" * 10000 + value = "a" * (1 << 21) # > 1 MiB, past the limit req = tsi.FeedbackCreateReq( project_id=project_id, wb_user_id="VXNlcjo0NTI1NDQ=", diff --git a/weave/trace_server/clickhouse_trace_server_batched.py b/weave/trace_server/clickhouse_trace_server_batched.py index 973d51080e29..e97e020b1abe 100644 --- a/weave/trace_server/clickhouse_trace_server_batched.py +++ b/weave/trace_server/clickhouse_trace_server_batched.py @@ -1312,7 +1312,7 @@ def feedback_create(self, req: tsi.FeedbackCreateReq) -> tsi.FeedbackCreateRes: created_at = datetime.datetime.now(ZoneInfo("UTC")) # TODO: Any validation on weave_ref? payload = _dict_value_to_dump(req.payload) - MAX_PAYLOAD = 1024 + MAX_PAYLOAD = 1 << 20 # 1 MiB if len(payload) > MAX_PAYLOAD: raise InvalidRequest("Feedback payload too large") row: Row = { From adb740bec5304df1130b92b0ce4b90bb909f6e34 Mon Sep 17 00:00:00 2001 From: Andrew Truong Date: Tue, 17 Dec 2024 20:20:45 -0500 Subject: [PATCH 32/62] feat(weave): Support op configuration for autopatched functions for remaining integrations (#3216) --- tests/integrations/litellm/litellm_test.py | 6 +- weave/integrations/anthropic/anthropic_sdk.py | 135 +++-- weave/integrations/cerebras/cerebras_sdk.py | 72 ++- weave/integrations/cohere/__init__.py | 2 +- weave/integrations/cohere/cohere_sdk.py | 198 +++++--- weave/integrations/dspy/dspy_sdk.py | 477 +++++++++++------- .../google_ai_studio/google_ai_studio_sdk.py | 129 +++-- weave/integrations/groq/groq_sdk.py | 77 ++- .../instructor/instructor_iterable_utils.py | 14 +- .../instructor/instructor_partial_utils.py | 7 +- .../integrations/instructor/instructor_sdk.py | 84 ++- weave/integrations/litellm/litellm.py | 73 ++- weave/integrations/mistral/__init__.py | 4 +- weave/integrations/mistral/v0/mistral.py | 124 +++-- weave/integrations/mistral/v1/mistral.py | 112 ++-- weave/integrations/notdiamond/__init__.py | 2 +- weave/integrations/notdiamond/tracing.py | 135 +++-- weave/integrations/vertexai/vertexai_sdk.py | 126 +++-- weave/trace/autopatch.py | 114 ++--- 19 files changed, 1206 insertions(+), 685 deletions(-) diff --git a/tests/integrations/litellm/litellm_test.py b/tests/integrations/litellm/litellm_test.py index 8cc0966c4768..ffd1094e6534 100644 --- a/tests/integrations/litellm/litellm_test.py +++ b/tests/integrations/litellm/litellm_test.py @@ -8,7 +8,7 @@ from packaging.version import parse as version_parse import weave -from weave.integrations.litellm.litellm import litellm_patcher +from weave.integrations.litellm.litellm import get_litellm_patcher # This PR: # https://github.com/BerriAI/litellm/commit/fe2aa706e8ff4edbcd109897e5da6b83ef6ad693 @@ -38,9 +38,9 @@ def patch_litellm(request: Any) -> Generator[None, None, None]: yield return - litellm_patcher.attempt_patch() + get_litellm_patcher().attempt_patch() yield - litellm_patcher.undo_patch() + get_litellm_patcher().undo_patch() @pytest.mark.skip_clickhouse_client # TODO:VCR recording does not seem to allow us to make requests to the clickhouse db in non-recording mode diff --git a/weave/integrations/anthropic/anthropic_sdk.py b/weave/integrations/anthropic/anthropic_sdk.py index 6e33e1a39062..9cd06f532594 100644 --- a/weave/integrations/anthropic/anthropic_sdk.py +++ b/weave/integrations/anthropic/anthropic_sdk.py @@ -1,27 +1,26 @@ +from __future__ import annotations + import importlib from collections.abc import AsyncIterator, Iterator from functools import wraps -from typing import ( - TYPE_CHECKING, - Any, - Callable, - Optional, - Union, -) +from typing import TYPE_CHECKING, Any, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import _IteratorWrapper, add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from anthropic.lib.streaming import MessageStream from anthropic.types import Message, MessageStreamEvent +_anthropic_patcher: MultiPatcher | None = None + def anthropic_accumulator( - acc: Optional["Message"], - value: "MessageStreamEvent", -) -> "Message": + acc: Message | None, + value: MessageStreamEvent, +) -> Message: from anthropic.types import ( ContentBlockDeltaEvent, Message, @@ -73,13 +72,11 @@ def should_use_accumulator(inputs: dict) -> bool: return isinstance(inputs, dict) and bool(inputs.get("stream")) -def create_wrapper_sync( - name: str, -) -> Callable[[Callable], Callable]: +def create_wrapper_sync(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: "We need to do this so we can check if `stream` is used" - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: anthropic_accumulator, @@ -92,9 +89,7 @@ def wrapper(fn: Callable) -> Callable: # Surprisingly, the async `client.chat.completions.create` does not pass # `inspect.iscoroutinefunction`, so we can't dispatch on it and must write # it manually here... -def create_wrapper_async( - name: str, -) -> Callable[[Callable], Callable]: +def create_wrapper_async(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: def _fn_wrapper(fn: Callable) -> Callable: @wraps(fn) @@ -104,8 +99,8 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return _async_wrapper "We need to do this so we can check if `stream` is used" - op = weave.op()(_fn_wrapper(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(_fn_wrapper(fn), **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: anthropic_accumulator, @@ -123,9 +118,9 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: def anthropic_stream_accumulator( - acc: Optional["Message"], - value: "MessageStream", -) -> "Message": + acc: Message | None, + value: MessageStream, +) -> Message: from anthropic.lib.streaming._types import MessageStopEvent if acc is None: @@ -150,7 +145,7 @@ def __getattr__(self, name: str) -> Any: return object.__getattribute__(self, name) return getattr(self._iterator_or_ctx_manager, name) - def __stream_text__(self) -> Union[Iterator[str], AsyncIterator[str]]: + def __stream_text__(self) -> Iterator[str] | AsyncIterator[str]: if isinstance(self._iterator_or_ctx_manager, AsyncIterator): return self.__async_stream_text__() else: @@ -167,16 +162,14 @@ async def __async_stream_text__(self) -> AsyncIterator[str]: # type: ignore yield chunk.delta.text # type: ignore @property - def text_stream(self) -> Union[Iterator[str], AsyncIterator[str]]: + def text_stream(self) -> Iterator[str] | AsyncIterator[str]: return self.__stream_text__() -def create_stream_wrapper( - name: str, -) -> Callable[[Callable], Callable]: +def create_stream_wrapper(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda _: anthropic_stream_accumulator, @@ -187,28 +180,58 @@ def wrapper(fn: Callable) -> Callable: return wrapper -anthropic_patcher = MultiPatcher( - [ - # Patch the sync messages.create method for all messages.create methods - SymbolPatcher( - lambda: importlib.import_module("anthropic.resources.messages"), - "Messages.create", - create_wrapper_sync(name="anthropic.Messages.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("anthropic.resources.messages"), - "AsyncMessages.create", - create_wrapper_async(name="anthropic.AsyncMessages.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("anthropic.resources.messages"), - "Messages.stream", - create_stream_wrapper(name="anthropic.Messages.stream"), - ), - SymbolPatcher( - lambda: importlib.import_module("anthropic.resources.messages"), - "AsyncMessages.stream", - create_stream_wrapper(name="anthropic.AsyncMessages.stream"), - ), - ] -) +def get_anthropic_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _anthropic_patcher + if _anthropic_patcher is not None: + return _anthropic_patcher + + base = settings.op_settings + + messages_create_settings = base.model_copy( + update={"name": base.name or "anthropic.Messages.create"} + ) + async_messages_create_settings = base.model_copy( + update={"name": base.name or "anthropic.AsyncMessages.create"} + ) + stream_settings = base.model_copy( + update={"name": base.name or "anthropic.Messages.stream"} + ) + async_stream_settings = base.model_copy( + update={"name": base.name or "anthropic.AsyncMessages.stream"} + ) + + _anthropic_patcher = MultiPatcher( + [ + # Patch the sync messages.create method for all messages.create methods + SymbolPatcher( + lambda: importlib.import_module("anthropic.resources.messages"), + "Messages.create", + create_wrapper_sync(messages_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("anthropic.resources.messages"), + "AsyncMessages.create", + create_wrapper_async(async_messages_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("anthropic.resources.messages"), + "Messages.stream", + create_stream_wrapper(stream_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("anthropic.resources.messages"), + "AsyncMessages.stream", + create_stream_wrapper(async_stream_settings), + ), + ] + ) + + return _anthropic_patcher diff --git a/weave/integrations/cerebras/cerebras_sdk.py b/weave/integrations/cerebras/cerebras_sdk.py index bdce368290e0..a2096a184e79 100644 --- a/weave/integrations/cerebras/cerebras_sdk.py +++ b/weave/integrations/cerebras/cerebras_sdk.py @@ -1,25 +1,26 @@ +from __future__ import annotations + import importlib from functools import wraps from typing import Any, Callable import weave -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.autopatch import IntegrationSettings, OpSettings +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher + +_cerebras_patcher: MultiPatcher | None = None -def create_wrapper_sync( - name: str, -) -> Callable[[Callable], Callable]: +def create_wrapper_sync(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return op return wrapper -def create_wrapper_async( - name: str, -) -> Callable[[Callable], Callable]: +def create_wrapper_async(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: def _fn_wrapper(fn: Callable) -> Callable: @wraps(fn) @@ -28,24 +29,45 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return _async_wrapper - op = weave.op()(_fn_wrapper(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(_fn_wrapper(fn), **op_kwargs) return op return wrapper -cerebras_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("cerebras.cloud.sdk.resources.chat"), - "CompletionsResource.create", - create_wrapper_sync(name="cerebras.chat.completions.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("cerebras.cloud.sdk.resources.chat"), - "AsyncCompletionsResource.create", - create_wrapper_async(name="cerebras.chat.completions.create"), - ), - ] -) +def get_cerebras_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _cerebras_patcher + if _cerebras_patcher is not None: + return _cerebras_patcher + + base = settings.op_settings + + create_settings = base.model_copy( + update={"name": base.name or "cerebras.chat.completions.create"} + ) + + _cerebras_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("cerebras.cloud.sdk.resources.chat"), + "CompletionsResource.create", + create_wrapper_sync(create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("cerebras.cloud.sdk.resources.chat"), + "AsyncCompletionsResource.create", + create_wrapper_async(create_settings), + ), + ] + ) + + return _cerebras_patcher diff --git a/weave/integrations/cohere/__init__.py b/weave/integrations/cohere/__init__.py index 45f925b6eeac..288cce91aaea 100644 --- a/weave/integrations/cohere/__init__.py +++ b/weave/integrations/cohere/__init__.py @@ -1 +1 @@ -from weave.integrations.cohere.cohere_sdk import cohere_patcher as cohere_patcher +from weave.integrations.cohere.cohere_sdk import get_cohere_patcher # noqa: F401 diff --git a/weave/integrations/cohere/cohere_sdk.py b/weave/integrations/cohere/cohere_sdk.py index b0a5944795b4..a9b216c070b5 100644 --- a/weave/integrations/cohere/cohere_sdk.py +++ b/weave/integrations/cohere/cohere_sdk.py @@ -1,20 +1,23 @@ +from __future__ import annotations + import importlib from functools import wraps -from typing import TYPE_CHECKING, Any, Callable, Optional +from typing import TYPE_CHECKING, Any, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from cohere.types.non_streamed_chat_response import NonStreamedChatResponse from cohere.v2.types.non_streamed_chat_response2 import NonStreamedChatResponse2 -def cohere_accumulator( - acc: Optional[dict], - value: Any, -) -> "NonStreamedChatResponse": +_cohere_patcher: MultiPatcher | None = None + + +def cohere_accumulator(acc: dict | None, value: Any) -> NonStreamedChatResponse: # don't need to accumulate, is build-in by cohere! # https://docs.cohere.com/docs/streaming # A stream-end event is the final event of the stream, and is returned only when streaming is finished. @@ -31,10 +34,7 @@ def cohere_accumulator( return acc -def cohere_accumulator_v2( - acc: Optional[dict], - value: Any, -) -> "NonStreamedChatResponse2": +def cohere_accumulator_v2(acc: dict | None, value: Any) -> NonStreamedChatResponse2: from cohere.v2.types.assistant_message_response import AssistantMessageResponse from cohere.v2.types.non_streamed_chat_response2 import NonStreamedChatResponse2 @@ -86,16 +86,16 @@ def _accumulate_content( return acc -def cohere_wrapper(name: str) -> Callable: +def cohere_wrapper(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: - op = weave.op(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return op return wrapper -def cohere_wrapper_v2(name: str) -> Callable: +def cohere_wrapper_v2(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: def _post_process_response(fn: Callable) -> Any: @wraps(fn) @@ -122,14 +122,14 @@ def _wrapper(*args: Any, **kwargs: Any) -> Any: return _wrapper - op = weave.op(_post_process_response(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(_post_process_response(fn), **op_kwargs) return op return wrapper -def cohere_wrapper_async_v2(name: str) -> Callable: +def cohere_wrapper_async_v2(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: def _post_process_response(fn: Callable) -> Any: @wraps(fn) @@ -156,81 +156,119 @@ async def _wrapper(*args: Any, **kwargs: Any) -> Any: return _wrapper - op = weave.op(_post_process_response(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(_post_process_response(fn), **op_kwargs) return op return wrapper -def cohere_stream_wrapper(name: str) -> Callable: +def cohere_stream_wrapper(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: - op = weave.op(fn) - op.name = name # type: ignore - return add_accumulator(op, lambda inputs: cohere_accumulator) # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) + return add_accumulator(op, lambda inputs: cohere_accumulator) return wrapper -def cohere_stream_wrapper_v2(name: str) -> Callable: +def cohere_stream_wrapper_v2(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: - op = weave.op(fn) - op.name = name # type: ignore - return add_accumulator( - op, make_accumulator=lambda inputs: cohere_accumulator_v2 - ) + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) + return add_accumulator(op, lambda inputs: cohere_accumulator_v2) return wrapper -cohere_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "Client.chat", - cohere_wrapper("cohere.Client.chat"), - ), - # Patch the async chat method - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "AsyncClient.chat", - cohere_wrapper("cohere.AsyncClient.chat"), - ), - # Add patch for chat_stream method - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "Client.chat_stream", - cohere_stream_wrapper("cohere.Client.chat_stream"), - ), - # Add patch for async chat_stream method - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "AsyncClient.chat_stream", - cohere_stream_wrapper("cohere.AsyncClient.chat_stream"), - ), - # Add patch for cohere v2 - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "ClientV2.chat", - cohere_wrapper_v2("cohere.ClientV2.chat"), - ), - # Add patch for cohre v2 async chat method - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "AsyncClientV2.chat", - cohere_wrapper_async_v2("cohere.AsyncClientV2.chat"), - ), - # Add patch for chat_stream method v2 - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "ClientV2.chat_stream", - cohere_stream_wrapper_v2("cohere.ClientV2.chat_stream"), - ), - # Add patch for async chat_stream method v2 - SymbolPatcher( - lambda: importlib.import_module("cohere"), - "AsyncClientV2.chat_stream", - cohere_stream_wrapper_v2("cohere.AsyncClientV2.chat_stream"), - ), - ] -) +def get_cohere_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _cohere_patcher + if _cohere_patcher is not None: + return _cohere_patcher + + base = settings.op_settings + + chat_settings = base.model_copy(update={"name": base.name or "cohere.Client.chat"}) + async_chat_settings = base.model_copy( + update={"name": base.name or "cohere.AsyncClient.chat"} + ) + chat_stream_settings = base.model_copy( + update={"name": base.name or "cohere.Client.chat_stream"} + ) + async_chat_stream_settings = base.model_copy( + update={"name": base.name or "cohere.AsyncClient.chat_stream"} + ) + chat_v2_settings = base.model_copy( + update={"name": base.name or "cohere.ClientV2.chat"} + ) + async_chat_v2_settings = base.model_copy( + update={"name": base.name or "cohere.AsyncClientV2.chat"} + ) + chat_stream_v2_settings = base.model_copy( + update={"name": base.name or "cohere.ClientV2.chat_stream"} + ) + async_chat_stream_v2_settings = base.model_copy( + update={"name": base.name or "cohere.AsyncClientV2.chat_stream"} + ) + + _cohere_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "Client.chat", + cohere_wrapper(chat_settings), + ), + # Patch the async chat method + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "AsyncClient.chat", + cohere_wrapper(async_chat_settings), + ), + # Add patch for chat_stream method + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "Client.chat_stream", + cohere_stream_wrapper(chat_stream_settings), + ), + # Add patch for async chat_stream method + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "AsyncClient.chat_stream", + cohere_stream_wrapper(async_chat_stream_settings), + ), + # Add patch for cohere v2 + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "ClientV2.chat", + cohere_wrapper_v2(chat_v2_settings), + ), + # Add patch for cohre v2 async chat method + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "AsyncClientV2.chat", + cohere_wrapper_async_v2(async_chat_v2_settings), + ), + # Add patch for chat_stream method v2 + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "ClientV2.chat_stream", + cohere_stream_wrapper_v2(chat_stream_v2_settings), + ), + # Add patch for async chat_stream method v2 + SymbolPatcher( + lambda: importlib.import_module("cohere"), + "AsyncClientV2.chat_stream", + cohere_stream_wrapper_v2(async_chat_stream_v2_settings), + ), + ] + ) + + return _cohere_patcher diff --git a/weave/integrations/dspy/dspy_sdk.py b/weave/integrations/dspy/dspy_sdk.py index b205c77a4588..25293b0f4947 100644 --- a/weave/integrations/dspy/dspy_sdk.py +++ b/weave/integrations/dspy/dspy_sdk.py @@ -1,216 +1,331 @@ +from __future__ import annotations + import importlib from typing import Callable import weave -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.autopatch import IntegrationSettings, OpSettings +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher + +_dspy_patcher: MultiPatcher | None = None -def dspy_wrapper(name: str) -> Callable[[Callable], Callable]: +def dspy_wrapper(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return op return wrapper def dspy_get_patched_lm_functions( - base_symbol: str, lm_class_name: str + base_symbol: str, lm_class_name: str, settings: OpSettings ) -> list[SymbolPatcher]: patchable_functional_attributes = [ "basic_request", "request", "__call__", ] + basic_request_settings = settings.model_copy( + update={"name": settings.name or f"{base_symbol}.{lm_class_name}.basic_request"} + ) + request_settings = settings.model_copy( + update={"name": settings.name or f"{base_symbol}.{lm_class_name}.request"} + ) + call_settings = settings.model_copy( + update={"name": settings.name or f"{base_symbol}.{lm_class_name}"} + ) return [ SymbolPatcher( get_base_symbol=lambda: importlib.import_module(base_symbol), attribute_name=f"{lm_class_name}.basic_request", - make_new_value=dspy_wrapper(f"dspy.{lm_class_name}.basic_request"), + make_new_value=dspy_wrapper(basic_request_settings), ), SymbolPatcher( get_base_symbol=lambda: importlib.import_module(base_symbol), attribute_name=f"{lm_class_name}.request", - make_new_value=dspy_wrapper(f"dspy.{lm_class_name}.request"), + make_new_value=dspy_wrapper(request_settings), ), SymbolPatcher( get_base_symbol=lambda: importlib.import_module(base_symbol), attribute_name=f"{lm_class_name}.__call__", - make_new_value=dspy_wrapper(f"dspy.{lm_class_name}"), + make_new_value=dspy_wrapper(call_settings), + ), + ] + + +def get_dspy_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _dspy_patcher + if _dspy_patcher is not None: + return _dspy_patcher + + base = settings.op_settings + + predict_call_settings = base.model_copy( + update={"name": base.name or "dspy.Predict"} + ) + predict_forward_settings = base.model_copy( + update={"name": base.name or "dspy.Predict.forward"} + ) + typed_predictor_call_settings = base.model_copy( + update={"name": base.name or "dspy.TypedPredictor"} + ) + typed_predictor_forward_settings = base.model_copy( + update={"name": base.name or "dspy.TypedPredictor.forward"} + ) + module_call_settings = base.model_copy(update={"name": base.name or "dspy.Module"}) + typed_chain_of_thought_call_settings = base.model_copy( + update={"name": base.name or "dspy.TypedChainOfThought"} + ) + retrieve_call_settings = base.model_copy( + update={"name": base.name or "dspy.Retrieve"} + ) + retrieve_forward_settings = base.model_copy( + update={"name": base.name or "dspy.Retrieve.forward"} + ) + evaluate_call_settings = base.model_copy( + update={"name": base.name or "dspy.evaluate.Evaluate"} + ) + bootstrap_few_shot_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.BootstrapFewShot.compile"} + ) + copro_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.COPRO.compile"} + ) + ensemble_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.Ensemble.compile"} + ) + bootstrap_finetune_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.BootstrapFinetune.compile"} + ) + knn_few_shot_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.KNNFewShot.compile"} + ) + mipro_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.MIPRO.compile"} + ) + bootstrap_few_shot_with_random_search_compile_settings = base.model_copy( + update={ + "name": base.name + or "dspy.teleprompt.BootstrapFewShotWithRandomSearch.compile" + } + ) + signature_optimizer_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.SignatureOptimizer.compile"} + ) + bayesian_signature_optimizer_compile_settings = base.model_copy( + update={ + "name": base.name or "dspy.teleprompt.BayesianSignatureOptimizer.compile" + } + ) + signature_opt_typed_optimize_signature_settings = base.model_copy( + update={ + "name": base.name + or "dspy.teleprompt.signature_opt_typed.optimize_signature" + } + ) + bootstrap_few_shot_with_optuna_compile_settings = base.model_copy( + update={ + "name": base.name or "dspy.teleprompt.BootstrapFewShotWithOptuna.compile" + } + ) + labeled_few_shot_compile_settings = base.model_copy( + update={"name": base.name or "dspy.teleprompt.LabeledFewShot.compile"} + ) + + patched_functions = [ + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Predict.__call__", + make_new_value=dspy_wrapper(predict_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Predict.forward", + make_new_value=dspy_wrapper(predict_forward_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="TypedPredictor.__call__", + make_new_value=dspy_wrapper(typed_predictor_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="TypedPredictor.forward", + make_new_value=dspy_wrapper(typed_predictor_forward_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Module.__call__", + make_new_value=dspy_wrapper(module_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="TypedChainOfThought.__call__", + make_new_value=dspy_wrapper(typed_chain_of_thought_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Retrieve.__call__", + make_new_value=dspy_wrapper(retrieve_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Retrieve.forward", + make_new_value=dspy_wrapper(retrieve_forward_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.evaluate.evaluate"), + attribute_name="Evaluate.__call__", + make_new_value=dspy_wrapper(evaluate_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="BootstrapFewShot.compile", + make_new_value=dspy_wrapper(bootstrap_few_shot_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="COPRO.compile", + make_new_value=dspy_wrapper(copro_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="Ensemble.compile", + make_new_value=dspy_wrapper(ensemble_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="BootstrapFinetune.compile", + make_new_value=dspy_wrapper(bootstrap_finetune_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="KNNFewShot.compile", + make_new_value=dspy_wrapper(knn_few_shot_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="MIPRO.compile", + make_new_value=dspy_wrapper(mipro_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="BootstrapFewShotWithRandomSearch.compile", + make_new_value=dspy_wrapper( + bootstrap_few_shot_with_random_search_compile_settings + ), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="SignatureOptimizer.compile", + make_new_value=dspy_wrapper(signature_optimizer_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="BayesianSignatureOptimizer.compile", + make_new_value=dspy_wrapper(bayesian_signature_optimizer_compile_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module( + "dspy.teleprompt.signature_opt_typed" + ), + attribute_name="optimize_signature", + make_new_value=dspy_wrapper( + signature_opt_typed_optimize_signature_settings + ), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="BootstrapFewShotWithOptuna.compile", + make_new_value=dspy_wrapper( + bootstrap_few_shot_with_optuna_compile_settings + ), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), + attribute_name="LabeledFewShot.compile", + make_new_value=dspy_wrapper(labeled_few_shot_compile_settings), + ), + ] + + # Patch LM classes + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="AzureOpenAI", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="OpenAI", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="Cohere", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="Clarifai", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="Google", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="HFClientTGI", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="HFClientVLLM", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="Anyscale", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="Together", settings=base + ) + patched_functions += dspy_get_patched_lm_functions( + base_symbol="dspy", lm_class_name="OllamaLocal", settings=base + ) + + databricks_basic_request_settings = base.model_copy( + update={"name": base.name or "dspy.Databricks.basic_request"} + ) + databricks_call_settings = base.model_copy( + update={"name": base.name or "dspy.Databricks"} + ) + colbertv2_call_settings = base.model_copy( + update={"name": base.name or "dspy.ColBERTv2"} + ) + pyserini_call_settings = base.model_copy( + update={"name": base.name or "dspy.Pyserini"} + ) + + patched_functions += [ + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Databricks.basic_request", + make_new_value=dspy_wrapper(databricks_basic_request_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Databricks.__call__", + make_new_value=dspy_wrapper(databricks_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="ColBERTv2.__call__", + make_new_value=dspy_wrapper(colbertv2_call_settings), + ), + SymbolPatcher( + get_base_symbol=lambda: importlib.import_module("dspy"), + attribute_name="Pyserini.__call__", + make_new_value=dspy_wrapper(pyserini_call_settings), ), ] + _dspy_patcher = MultiPatcher(patched_functions) -patched_functions = [ - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Predict.__call__", - make_new_value=dspy_wrapper("dspy.Predict"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Predict.forward", - make_new_value=dspy_wrapper("dspy.Predict.forward"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="TypedPredictor.__call__", - make_new_value=dspy_wrapper("dspy.TypedPredictor"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="TypedPredictor.forward", - make_new_value=dspy_wrapper("dspy.TypedPredictor.forward"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Module.__call__", - make_new_value=dspy_wrapper("dspy.Module"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="TypedChainOfThought.__call__", - make_new_value=dspy_wrapper("dspy.TypedChainOfThought"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Retrieve.__call__", - make_new_value=dspy_wrapper("dspy.Retrieve"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Retrieve.forward", - make_new_value=dspy_wrapper("dspy.Retrieve.forward"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.evaluate.evaluate"), - attribute_name="Evaluate.__call__", - make_new_value=dspy_wrapper("dspy.evaluate.Evaluate"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="BootstrapFewShot.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.BootstrapFewShot.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="COPRO.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.COPRO.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="Ensemble.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.Ensemble.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="BootstrapFinetune.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.BootstrapFinetune.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="KNNFewShot.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.KNNFewShot.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="MIPRO.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.MIPRO.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="BootstrapFewShotWithRandomSearch.compile", - make_new_value=dspy_wrapper( - "dspy.teleprompt.BootstrapFewShotWithRandomSearch.compile" - ), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="SignatureOptimizer.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.SignatureOptimizer.compile"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="BayesianSignatureOptimizer.compile", - make_new_value=dspy_wrapper( - "dspy.teleprompt.BayesianSignatureOptimizer.compile" - ), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module( - "dspy.teleprompt.signature_opt_typed" - ), - attribute_name="optimize_signature", - make_new_value=dspy_wrapper( - "dspy.teleprompt.signature_opt_typed.optimize_signature" - ), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="BootstrapFewShotWithOptuna.compile", - make_new_value=dspy_wrapper( - "dspy.teleprompt.BootstrapFewShotWithOptuna.compile" - ), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy.teleprompt"), - attribute_name="LabeledFewShot.compile", - make_new_value=dspy_wrapper("dspy.teleprompt.LabeledFewShot.compile"), - ), -] - -# Patch LM classes -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="AzureOpenAI" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="OpenAI" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="Cohere" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="Clarifai" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="Google" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="HFClientTGI" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="HFClientVLLM" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="Anyscale" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="Together" -) -patched_functions += dspy_get_patched_lm_functions( - base_symbol="dspy", lm_class_name="OllamaLocal" -) -patched_functions += [ - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Databricks.basic_request", - make_new_value=dspy_wrapper("dspy.Databricks.basic_request"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Databricks.__call__", - make_new_value=dspy_wrapper("dspy.Databricks"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="ColBERTv2.__call__", - make_new_value=dspy_wrapper("dspy.ColBERTv2"), - ), - SymbolPatcher( - get_base_symbol=lambda: importlib.import_module("dspy"), - attribute_name="Pyserini.__call__", - make_new_value=dspy_wrapper("dspy.Pyserini"), - ), -] - -dspy_patcher = MultiPatcher(patched_functions) + return _dspy_patcher diff --git a/weave/integrations/google_ai_studio/google_ai_studio_sdk.py b/weave/integrations/google_ai_studio/google_ai_studio_sdk.py index 2cd8a2fe1377..7c4e6d2a7406 100644 --- a/weave/integrations/google_ai_studio/google_ai_studio_sdk.py +++ b/weave/integrations/google_ai_studio/google_ai_studio_sdk.py @@ -1,16 +1,21 @@ +from __future__ import annotations + import importlib from functools import wraps -from typing import TYPE_CHECKING, Any, Callable, Optional +from typing import TYPE_CHECKING, Any, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher from weave.trace.serialize import dictify from weave.trace.weave_client import Call if TYPE_CHECKING: from google.generativeai.types.generation_types import GenerateContentResponse +_google_genai_patcher: MultiPatcher | None = None + def gemini_postprocess_inputs(inputs: dict[str, Any]) -> dict[str, Any]: if "self" in inputs: @@ -19,8 +24,8 @@ def gemini_postprocess_inputs(inputs: dict[str, Any]) -> dict[str, Any]: def gemini_accumulator( - acc: Optional["GenerateContentResponse"], value: "GenerateContentResponse" -) -> "GenerateContentResponse": + acc: GenerateContentResponse | None, value: GenerateContentResponse +) -> GenerateContentResponse: if acc is None: return value @@ -64,9 +69,7 @@ def gemini_accumulator( return acc -def gemini_on_finish( - call: Call, output: Any, exception: Optional[BaseException] -) -> None: +def gemini_on_finish(call: Call, output: Any, exception: BaseException | None) -> None: if "model_name" in call.inputs["self"]: original_model_name = call.inputs["self"]["model_name"] elif "model" in call.inputs["self"]: @@ -89,10 +92,13 @@ def gemini_on_finish( call.summary.update(summary_update) -def gemini_wrapper_sync(name: str) -> Callable[[Callable], Callable]: +def gemini_wrapper_sync(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op(postprocess_inputs=gemini_postprocess_inputs)(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + if not op_kwargs.get("postprocess_inputs"): + op_kwargs["postprocess_inputs"] = gemini_postprocess_inputs + + op = weave.op(fn, **op_kwargs) op._set_on_finish_handler(gemini_on_finish) return add_accumulator( op, # type: ignore @@ -104,7 +110,7 @@ def wrapper(fn: Callable) -> Callable: return wrapper -def gemini_wrapper_async(name: str) -> Callable[[Callable], Callable]: +def gemini_wrapper_async(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: def _fn_wrapper(fn: Callable) -> Callable: @wraps(fn) @@ -113,9 +119,11 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return _async_wrapper - "We need to do this so we can check if `stream` is used" - op = weave.op(postprocess_inputs=gemini_postprocess_inputs)(_fn_wrapper(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + if not op_kwargs.get("postprocess_inputs"): + op_kwargs["postprocess_inputs"] = gemini_postprocess_inputs + + op = weave.op(_fn_wrapper(fn), **op_kwargs) op._set_on_finish_handler(gemini_on_finish) return add_accumulator( op, # type: ignore @@ -127,33 +135,72 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return wrapper -google_genai_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("google.generativeai.generative_models"), - "GenerativeModel.generate_content", - gemini_wrapper_sync( - name="google.generativeai.GenerativeModel.generate_content" +def get_google_genai_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _google_genai_patcher + if _google_genai_patcher is not None: + return _google_genai_patcher + + base = settings.op_settings + + generate_content_settings = base.model_copy( + update={ + "name": base.name or "google.generativeai.GenerativeModel.generate_content" + } + ) + generate_content_async_settings = base.model_copy( + update={ + "name": base.name + or "google.generativeai.GenerativeModel.generate_content_async" + } + ) + send_message_settings = base.model_copy( + update={"name": base.name or "google.generativeai.ChatSession.send_message"} + ) + send_message_async_settings = base.model_copy( + update={ + "name": base.name or "google.generativeai.ChatSession.send_message_async" + } + ) + + _google_genai_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module( + "google.generativeai.generative_models" + ), + "GenerativeModel.generate_content", + gemini_wrapper_sync(generate_content_settings), + ), + SymbolPatcher( + lambda: importlib.import_module( + "google.generativeai.generative_models" + ), + "GenerativeModel.generate_content_async", + gemini_wrapper_async(generate_content_async_settings), ), - ), - SymbolPatcher( - lambda: importlib.import_module("google.generativeai.generative_models"), - "GenerativeModel.generate_content_async", - gemini_wrapper_async( - name="google.generativeai.GenerativeModel.generate_content_async" + SymbolPatcher( + lambda: importlib.import_module( + "google.generativeai.generative_models" + ), + "ChatSession.send_message", + gemini_wrapper_sync(send_message_settings), ), - ), - SymbolPatcher( - lambda: importlib.import_module("google.generativeai.generative_models"), - "ChatSession.send_message", - gemini_wrapper_sync(name="google.generativeai.ChatSession.send_message"), - ), - SymbolPatcher( - lambda: importlib.import_module("google.generativeai.generative_models"), - "ChatSession.send_message_async", - gemini_wrapper_async( - name="google.generativeai.ChatSession.send_message_async" + SymbolPatcher( + lambda: importlib.import_module( + "google.generativeai.generative_models" + ), + "ChatSession.send_message_async", + gemini_wrapper_async(send_message_async_settings), ), - ), - ] -) + ] + ) + + return _google_genai_patcher diff --git a/weave/integrations/groq/groq_sdk.py b/weave/integrations/groq/groq_sdk.py index 4f470e6d7437..c5c07fd705f7 100644 --- a/weave/integrations/groq/groq_sdk.py +++ b/weave/integrations/groq/groq_sdk.py @@ -1,17 +1,23 @@ +from __future__ import annotations + import importlib -from typing import TYPE_CHECKING, Callable, Optional +from typing import TYPE_CHECKING, Callable + +import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings +from weave.trace.op_extensions.accumulator import add_accumulator +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from groq.types.chat import ChatCompletion, ChatCompletionChunk -import weave -from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher + +_groq_patcher: MultiPatcher | None = None def groq_accumulator( - acc: Optional["ChatCompletion"], value: "ChatCompletionChunk" -) -> "ChatCompletion": + acc: ChatCompletion | None, value: ChatCompletionChunk +) -> ChatCompletion: from groq.types.chat import ChatCompletion, ChatCompletionMessage from groq.types.chat.chat_completion import Choice from groq.types.chat.chat_completion_chunk import Choice as ChoiceChunk @@ -83,11 +89,10 @@ def should_use_accumulator(inputs: dict) -> bool: return isinstance(inputs, dict) and bool(inputs.get("stream")) -def groq_wrapper(name: str) -> Callable[[Callable], Callable]: +def groq_wrapper(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore - # return op + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: groq_accumulator, @@ -97,17 +102,41 @@ def wrapper(fn: Callable) -> Callable: return wrapper -groq_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("groq.resources.chat.completions"), - "Completions.create", - groq_wrapper(name="groq.chat.completions.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("groq.resources.chat.completions"), - "AsyncCompletions.create", - groq_wrapper(name="groq.async.chat.completions.create"), - ), - ] -) +def get_groq_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _groq_patcher + if _groq_patcher is not None: + return _groq_patcher + + base = settings.op_settings + + chat_completions_settings = base.model_copy( + update={"name": base.name or "groq.chat.completions.create"} + ) + async_chat_completions_settings = base.model_copy( + update={"name": base.name or "groq.async.chat.completions.create"} + ) + + _groq_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("groq.resources.chat.completions"), + "Completions.create", + groq_wrapper(chat_completions_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("groq.resources.chat.completions"), + "AsyncCompletions.create", + groq_wrapper(async_chat_completions_settings), + ), + ] + ) + + return _groq_patcher diff --git a/weave/integrations/instructor/instructor_iterable_utils.py b/weave/integrations/instructor/instructor_iterable_utils.py index 84d64a103b6b..3b0f128a1320 100644 --- a/weave/integrations/instructor/instructor_iterable_utils.py +++ b/weave/integrations/instructor/instructor_iterable_utils.py @@ -4,6 +4,7 @@ from pydantic import BaseModel import weave +from weave.trace.autopatch import OpSettings from weave.trace.op_extensions.accumulator import add_accumulator @@ -27,10 +28,10 @@ def should_accumulate_iterable(inputs: dict) -> bool: return False -def instructor_wrapper_sync(name: str) -> Callable[[Callable], Callable]: +def instructor_wrapper_sync(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: instructor_iterable_accumulator, @@ -40,7 +41,7 @@ def wrapper(fn: Callable) -> Callable: return wrapper -def instructor_wrapper_async(name: str) -> Callable[[Callable], Callable]: +def instructor_wrapper_async(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: def _fn_wrapper(fn: Callable) -> Callable: @wraps(fn) @@ -49,9 +50,8 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return _async_wrapper - "We need to do this so we can check if `stream` is used" - op = weave.op(_fn_wrapper(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(_fn_wrapper(fn), **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: instructor_iterable_accumulator, diff --git a/weave/integrations/instructor/instructor_partial_utils.py b/weave/integrations/instructor/instructor_partial_utils.py index f90dc7edb17b..8efa84b302f8 100644 --- a/weave/integrations/instructor/instructor_partial_utils.py +++ b/weave/integrations/instructor/instructor_partial_utils.py @@ -3,6 +3,7 @@ from pydantic import BaseModel import weave +from weave.trace.autopatch import OpSettings from weave.trace.op_extensions.accumulator import add_accumulator @@ -14,10 +15,10 @@ def instructor_partial_accumulator( return acc -def instructor_wrapper_partial(name: str) -> Callable[[Callable], Callable]: +def instructor_wrapper_partial(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: instructor_partial_accumulator, diff --git a/weave/integrations/instructor/instructor_sdk.py b/weave/integrations/instructor/instructor_sdk.py index 867e9f2a785e..00dfde029c9c 100644 --- a/weave/integrations/instructor/instructor_sdk.py +++ b/weave/integrations/instructor/instructor_sdk.py @@ -1,31 +1,65 @@ +from __future__ import annotations + import importlib -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.autopatch import IntegrationSettings +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher from .instructor_iterable_utils import instructor_wrapper_async, instructor_wrapper_sync from .instructor_partial_utils import instructor_wrapper_partial -instructor_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("instructor.client"), - "Instructor.create", - instructor_wrapper_sync(name="Instructor.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("instructor.client"), - "AsyncInstructor.create", - instructor_wrapper_async(name="AsyncInstructor.create"), - ), - SymbolPatcher( - lambda: importlib.import_module("instructor.client"), - "Instructor.create_partial", - instructor_wrapper_partial(name="Instructor.create_partial"), - ), - SymbolPatcher( - lambda: importlib.import_module("instructor.client"), - "AsyncInstructor.create_partial", - instructor_wrapper_partial(name="AsyncInstructor.create_partial"), - ), - ] -) +_instructor_patcher: MultiPatcher | None = None + + +def get_instructor_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _instructor_patcher + if _instructor_patcher is not None: + return _instructor_patcher + + base = settings.op_settings + + create_settings = base.model_copy(update={"name": base.name or "Instructor.create"}) + async_create_settings = base.model_copy( + update={"name": base.name or "AsyncInstructor.create"} + ) + create_partial_settings = base.model_copy( + update={"name": base.name or "Instructor.create_partial"} + ) + async_create_partial_settings = base.model_copy( + update={"name": base.name or "AsyncInstructor.create_partial"} + ) + + _instructor_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("instructor.client"), + "Instructor.create", + instructor_wrapper_sync(create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("instructor.client"), + "AsyncInstructor.create", + instructor_wrapper_async(async_create_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("instructor.client"), + "Instructor.create_partial", + instructor_wrapper_partial(create_partial_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("instructor.client"), + "AsyncInstructor.create_partial", + instructor_wrapper_partial(async_create_partial_settings), + ), + ] + ) + + return _instructor_patcher diff --git a/weave/integrations/litellm/litellm.py b/weave/integrations/litellm/litellm.py index c3bf1bf114a2..9ae6e492c84e 100644 --- a/weave/integrations/litellm/litellm.py +++ b/weave/integrations/litellm/litellm.py @@ -1,19 +1,24 @@ +from __future__ import annotations + import importlib -from typing import TYPE_CHECKING, Any, Callable, Optional +from typing import TYPE_CHECKING, Any, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from litellm.utils import ModelResponse +_litellm_patcher: MultiPatcher | None = None + # This accumulator is nearly identical to the mistral accumulator, just with different types. def litellm_accumulator( - acc: Optional["ModelResponse"], - value: "ModelResponse", -) -> "ModelResponse": + acc: ModelResponse | None, + value: ModelResponse, +) -> ModelResponse: # This import should be safe at this point from litellm.utils import Choices, Message, ModelResponse, Usage @@ -82,10 +87,10 @@ def should_use_accumulator(inputs: dict) -> bool: return isinstance(inputs, dict) and bool(inputs.get("stream")) -def make_wrapper(name: str) -> Callable: +def make_wrapper(settings: OpSettings) -> Callable: def litellm_wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return add_accumulator( op, # type: ignore make_accumulator=lambda inputs: litellm_accumulator, @@ -96,17 +101,41 @@ def litellm_wrapper(fn: Callable) -> Callable: return litellm_wrapper -litellm_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("litellm"), - "completion", - make_wrapper("litellm.completion"), - ), - SymbolPatcher( - lambda: importlib.import_module("litellm"), - "acompletion", - make_wrapper("litellm.acompletion"), - ), - ] -) +def get_litellm_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _litellm_patcher + if _litellm_patcher is not None: + return _litellm_patcher + + base = settings.op_settings + + completion_settings = base.model_copy( + update={"name": base.name or "litellm.completion"} + ) + acompletion_settings = base.model_copy( + update={"name": base.name or "litellm.acompletion"} + ) + + _litellm_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("litellm"), + "completion", + make_wrapper(completion_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("litellm"), + "acompletion", + make_wrapper(acompletion_settings), + ), + ] + ) + + return _litellm_patcher diff --git a/weave/integrations/mistral/__init__.py b/weave/integrations/mistral/__init__.py index 34b40835efcf..d78812d9afa8 100644 --- a/weave/integrations/mistral/__init__.py +++ b/weave/integrations/mistral/__init__.py @@ -8,10 +8,10 @@ mistral_version = "1.0" # we need to return a patching function if version.parse(mistral_version) < version.parse("1.0.0"): - from .v0.mistral import mistral_patcher + from .v0.mistral import get_mistral_patcher # noqa: F401 print( f"Using MistralAI version {mistral_version}. Please consider upgrading to version 1.0.0 or later." ) else: - from .v1.mistral import mistral_patcher # noqa: F401 + from .v1.mistral import get_mistral_patcher # noqa: F401 diff --git a/weave/integrations/mistral/v0/mistral.py b/weave/integrations/mistral/v0/mistral.py index 6d4915eab41b..70a3fa183bb8 100644 --- a/weave/integrations/mistral/v0/mistral.py +++ b/weave/integrations/mistral/v0/mistral.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import importlib -from typing import TYPE_CHECKING, Callable, Optional +from typing import TYPE_CHECKING, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from mistralai.models.chat_completion import ( @@ -11,11 +14,13 @@ ChatCompletionStreamResponse, ) +_mistral_patcher: MultiPatcher | None = None + def mistral_accumulator( - acc: Optional["ChatCompletionResponse"], - value: "ChatCompletionStreamResponse", -) -> "ChatCompletionResponse": + acc: ChatCompletionResponse | None, + value: ChatCompletionStreamResponse, +) -> ChatCompletionResponse: # This import should be safe at this point from mistralai.models.chat_completion import ( ChatCompletionResponse, @@ -72,37 +77,78 @@ def mistral_accumulator( return acc -def mistral_stream_wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - acc_op = add_accumulator(op, lambda inputs: mistral_accumulator) # type: ignore - return acc_op - - -mistral_patcher = MultiPatcher( - [ - # Patch the sync, non-streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.client"), - "MistralClient.chat", - weave.op(), - ), - # Patch the sync, streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.client"), - "MistralClient.chat_stream", - mistral_stream_wrapper, - ), - # Patch the async, non-streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.async_client"), - "MistralAsyncClient.chat", - weave.op(), - ), - # Patch the async, streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.async_client"), - "MistralAsyncClient.chat_stream", - mistral_stream_wrapper, - ), - ] -) +def mistral_stream_wrapper(settings: OpSettings) -> Callable: + def wrapper(fn: Callable) -> Callable: + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) + acc_op = add_accumulator(op, lambda inputs: mistral_accumulator) # type: ignore + return acc_op + + return wrapper + + +def mistral_wrapper(settings: OpSettings) -> Callable: + def wrapper(fn: Callable) -> Callable: + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) + return op + + return wrapper + + +def get_mistral_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _mistral_patcher + if _mistral_patcher is not None: + return _mistral_patcher + + base = settings.op_settings + + chat_settings = base.model_copy(update={"name": base.name or "mistralai.chat"}) + chat_stream_settings = base.model_copy( + update={"name": base.name or "mistralai.chat_stream"} + ) + async_chat_settings = base.model_copy( + update={"name": base.name or "mistralai.async_client.chat"} + ) + async_chat_stream_settings = base.model_copy( + update={"name": base.name or "mistralai.async_client.chat_stream"} + ) + + _mistral_patcher = MultiPatcher( + [ + # Patch the sync, non-streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.client"), + "MistralClient.chat", + mistral_wrapper(chat_settings), + ), + # Patch the sync, streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.client"), + "MistralClient.chat_stream", + mistral_stream_wrapper(chat_stream_settings), + ), + # Patch the async, non-streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.async_client"), + "MistralAsyncClient.chat", + mistral_wrapper(async_chat_settings), + ), + # Patch the async, streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.async_client"), + "MistralAsyncClient.chat_stream", + mistral_stream_wrapper(async_chat_stream_settings), + ), + ] + ) + + return _mistral_patcher diff --git a/weave/integrations/mistral/v1/mistral.py b/weave/integrations/mistral/v1/mistral.py index 692aa7b159bf..d52d42af3c4f 100644 --- a/weave/integrations/mistral/v1/mistral.py +++ b/weave/integrations/mistral/v1/mistral.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import importlib -from typing import TYPE_CHECKING, Callable, Optional +from typing import TYPE_CHECKING, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher if TYPE_CHECKING: from mistralai.models import ( @@ -11,11 +14,13 @@ CompletionEvent, ) +_mistral_patcher: MultiPatcher | None = None + def mistral_accumulator( - acc: Optional["ChatCompletionResponse"], - value: "CompletionEvent", -) -> "ChatCompletionResponse": + acc: ChatCompletionResponse | None, + value: CompletionEvent, +) -> ChatCompletionResponse: # This import should be safe at this point from mistralai.models import ( AssistantMessage, @@ -79,50 +84,79 @@ def mistral_accumulator( return acc -def mistral_stream_wrapper(name: str) -> Callable: +def mistral_stream_wrapper(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) acc_op = add_accumulator(op, lambda inputs: mistral_accumulator) # type: ignore - acc_op.name = name # type: ignore return acc_op return wrapper -def mistral_wrapper(name: str) -> Callable: +def mistral_wrapper(settings: OpSettings) -> Callable: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return op return wrapper -mistral_patcher = MultiPatcher( - [ - # Patch the sync, non-streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.chat"), - "Chat.complete", - mistral_wrapper(name="Mistral.chat.complete"), - ), - # Patch the sync, streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.chat"), - "Chat.stream", - mistral_stream_wrapper(name="Mistral.chat.stream"), - ), - # Patch the async, non-streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.chat"), - "Chat.complete_async", - mistral_wrapper(name="Mistral.chat.complete_async"), - ), - # Patch the async, streaming chat method - SymbolPatcher( - lambda: importlib.import_module("mistralai.chat"), - "Chat.stream_async", - mistral_stream_wrapper(name="Mistral.chat.stream_async"), - ), - ] -) +def get_mistral_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _mistral_patcher + if _mistral_patcher is not None: + return _mistral_patcher + + base = settings.op_settings + chat_complete_settings = base.model_copy( + update={"name": base.name or "mistralai.chat.complete"} + ) + chat_stream_settings = base.model_copy( + update={"name": base.name or "mistralai.chat.stream"} + ) + async_chat_complete_settings = base.model_copy( + update={"name": base.name or "mistralai.async_client.chat.complete"} + ) + async_chat_stream_settings = base.model_copy( + update={"name": base.name or "mistralai.async_client.chat.stream"} + ) + + _mistral_patcher = MultiPatcher( + [ + # Patch the sync, non-streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.chat"), + "Chat.complete", + mistral_wrapper(chat_complete_settings), + ), + # Patch the sync, streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.chat"), + "Chat.stream", + mistral_stream_wrapper(chat_stream_settings), + ), + # Patch the async, non-streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.chat"), + "Chat.complete_async", + mistral_wrapper(async_chat_complete_settings), + ), + # Patch the async, streaming chat method + SymbolPatcher( + lambda: importlib.import_module("mistralai.chat"), + "Chat.stream_async", + mistral_stream_wrapper(async_chat_stream_settings), + ), + ] + ) + + return _mistral_patcher diff --git a/weave/integrations/notdiamond/__init__.py b/weave/integrations/notdiamond/__init__.py index d99c31c4176d..8cb72ef2a55e 100644 --- a/weave/integrations/notdiamond/__init__.py +++ b/weave/integrations/notdiamond/__init__.py @@ -1 +1 @@ -from .tracing import notdiamond_patcher as notdiamond_patcher +from .tracing import get_notdiamond_patcher # noqa: F401 diff --git a/weave/integrations/notdiamond/tracing.py b/weave/integrations/notdiamond/tracing.py index 90c08b9e8c62..23589719be78 100644 --- a/weave/integrations/notdiamond/tracing.py +++ b/weave/integrations/notdiamond/tracing.py @@ -1,19 +1,32 @@ +from __future__ import annotations + import importlib from typing import Callable import weave -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.autopatch import IntegrationSettings, OpSettings +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher + +_notdiamond_patcher: MultiPatcher | None = None -def nd_wrapper(name: str) -> Callable[[Callable], Callable]: +def nd_wrapper(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op()(fn) - op.name = name # type: ignore + op_kwargs = settings.model_dump() + op = weave.op(fn, **op_kwargs) return op return wrapper +def passthrough_wrapper(settings: OpSettings) -> Callable: + def wrapper(fn: Callable) -> Callable: + op_kwargs = settings.model_dump() + return weave.op(fn, **op_kwargs) + + return wrapper + + def _patch_client_op(method_name: str) -> list[SymbolPatcher]: return [ SymbolPatcher( @@ -29,36 +42,84 @@ def _patch_client_op(method_name: str) -> list[SymbolPatcher]: ] -patched_client_functions = _patch_client_op("model_select") - -patched_llmconfig_functions = [ - SymbolPatcher( - lambda: importlib.import_module("notdiamond"), - "LLMConfig.__init__", - weave.op(), - ), - SymbolPatcher( - lambda: importlib.import_module("notdiamond"), - "LLMConfig.from_string", - weave.op(), - ), -] - -patched_toolkit_functions = [ - SymbolPatcher( - lambda: importlib.import_module("notdiamond.toolkit.custom_router"), - "CustomRouter.fit", - weave.op(), - ), - SymbolPatcher( - lambda: importlib.import_module("notdiamond.toolkit.custom_router"), - "CustomRouter.eval", - weave.op(), - ), -] - -all_patched_functions = ( - patched_client_functions + patched_toolkit_functions + patched_llmconfig_functions -) - -notdiamond_patcher = MultiPatcher(all_patched_functions) +def get_notdiamond_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _notdiamond_patcher + if _notdiamond_patcher is not None: + return _notdiamond_patcher + + base = settings.op_settings + + model_select_settings = base.model_copy( + update={"name": base.name or "NotDiamond.model_select"} + ) + async_model_select_settings = base.model_copy( + update={"name": base.name or "NotDiamond.amodel_select"} + ) + patched_client_functions = [ + SymbolPatcher( + lambda: importlib.import_module("notdiamond"), + "NotDiamond.model_select", + passthrough_wrapper(model_select_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("notdiamond"), + "NotDiamond.amodel_select", + passthrough_wrapper(async_model_select_settings), + ), + ] + + llm_config_init_settings = base.model_copy( + update={"name": base.name or "NotDiamond.LLMConfig.__init__"} + ) + llm_config_from_string_settings = base.model_copy( + update={"name": base.name or "NotDiamond.LLMConfig.from_string"} + ) + patched_llmconfig_functions = [ + SymbolPatcher( + lambda: importlib.import_module("notdiamond"), + "LLMConfig.__init__", + passthrough_wrapper(llm_config_init_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("notdiamond"), + "LLMConfig.from_string", + passthrough_wrapper(llm_config_from_string_settings), + ), + ] + + toolkit_custom_router_fit_settings = base.model_copy( + update={"name": base.name or "NotDiamond.toolkit.custom_router.fit"} + ) + toolkit_custom_router_eval_settings = base.model_copy( + update={"name": base.name or "NotDiamond.toolkit.custom_router.eval"} + ) + patched_toolkit_functions = [ + SymbolPatcher( + lambda: importlib.import_module("notdiamond.toolkit.custom_router"), + "CustomRouter.fit", + passthrough_wrapper(toolkit_custom_router_fit_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("notdiamond.toolkit.custom_router"), + "CustomRouter.eval", + passthrough_wrapper(toolkit_custom_router_eval_settings), + ), + ] + + all_patched_functions = ( + patched_client_functions + + patched_toolkit_functions + + patched_llmconfig_functions + ) + + _notdiamond_patcher = MultiPatcher(all_patched_functions) + + return _notdiamond_patcher diff --git a/weave/integrations/vertexai/vertexai_sdk.py b/weave/integrations/vertexai/vertexai_sdk.py index c2f7a9906c78..a64620cbe5fb 100644 --- a/weave/integrations/vertexai/vertexai_sdk.py +++ b/weave/integrations/vertexai/vertexai_sdk.py @@ -1,10 +1,13 @@ +from __future__ import annotations + import importlib from functools import wraps -from typing import TYPE_CHECKING, Any, Callable, Optional +from typing import TYPE_CHECKING, Any, Callable import weave +from weave.trace.autopatch import IntegrationSettings, OpSettings from weave.trace.op_extensions.accumulator import add_accumulator -from weave.trace.patcher import MultiPatcher, SymbolPatcher +from weave.trace.patcher import MultiPatcher, NoOpPatcher, SymbolPatcher from weave.trace.serialize import dictify from weave.trace.weave_client import Call @@ -12,6 +15,9 @@ from vertexai.generative_models import GenerationResponse +_vertexai_patcher: MultiPatcher | None = None + + def vertexai_postprocess_inputs(inputs: dict[str, Any]) -> dict[str, Any]: if "self" in inputs: model_name = ( @@ -25,8 +31,8 @@ def vertexai_postprocess_inputs(inputs: dict[str, Any]) -> dict[str, Any]: def vertexai_accumulator( - acc: Optional["GenerationResponse"], value: "GenerationResponse" -) -> "GenerationResponse": + acc: GenerationResponse | None, value: GenerationResponse +) -> GenerationResponse: from google.cloud.aiplatform_v1beta1.types import content as gapic_content_types from google.cloud.aiplatform_v1beta1.types import ( prediction_service as gapic_prediction_service_types, @@ -62,7 +68,7 @@ def vertexai_accumulator( def vertexai_on_finish( - call: Call, output: Any, exception: Optional[BaseException] + call: Call, output: Any, exception: BaseException | None ) -> None: original_model_name = call.inputs["model_name"] model_name = original_model_name.split("/")[-1] @@ -81,10 +87,13 @@ def vertexai_on_finish( call.summary.update(summary_update) -def vertexai_wrapper_sync(name: str) -> Callable[[Callable], Callable]: +def vertexai_wrapper_sync(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: - op = weave.op(postprocess_inputs=vertexai_postprocess_inputs)(fn) - op.name = name # type: ignore + op_kwargs = settings.model_copy() + if not op_kwargs.get("postprocess_inputs"): + op_kwargs["postprocess_inputs"] = vertexai_postprocess_inputs + + op = weave.op(fn, **op_kwargs) op._set_on_finish_handler(vertexai_on_finish) return add_accumulator( op, # type: ignore @@ -96,7 +105,7 @@ def wrapper(fn: Callable) -> Callable: return wrapper -def vertexai_wrapper_async(name: str) -> Callable[[Callable], Callable]: +def vertexai_wrapper_async(settings: OpSettings) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: def _fn_wrapper(fn: Callable) -> Callable: @wraps(fn) @@ -105,9 +114,11 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return _async_wrapper - "We need to do this so we can check if `stream` is used" - op = weave.op(postprocess_inputs=vertexai_postprocess_inputs)(_fn_wrapper(fn)) - op.name = name # type: ignore + op_kwargs = settings.model_copy() + if not op_kwargs.get("postprocess_inputs"): + op_kwargs["postprocess_inputs"] = vertexai_postprocess_inputs + + op = weave.op(_fn_wrapper(fn), **op_kwargs) op._set_on_finish_handler(vertexai_on_finish) return add_accumulator( op, # type: ignore @@ -119,34 +130,65 @@ async def _async_wrapper(*args: Any, **kwargs: Any) -> Any: return wrapper -vertexai_patcher = MultiPatcher( - [ - SymbolPatcher( - lambda: importlib.import_module("vertexai.generative_models"), - "GenerativeModel.generate_content", - vertexai_wrapper_sync(name="vertexai.GenerativeModel.generate_content"), - ), - SymbolPatcher( - lambda: importlib.import_module("vertexai.generative_models"), - "GenerativeModel.generate_content_async", - vertexai_wrapper_async( - name="vertexai.GenerativeModel.generate_content_async" +def get_vertexai_patcher( + settings: IntegrationSettings | None = None, +) -> MultiPatcher | NoOpPatcher: + if settings is None: + settings = IntegrationSettings() + + if not settings.enabled: + return NoOpPatcher() + + global _vertexai_patcher + if _vertexai_patcher is not None: + return _vertexai_patcher + + base = settings.op_settings + + generate_content_settings = base.model_copy( + update={"name": base.name or "vertexai.GenerativeModel.generate_content"} + ) + generate_content_async_settings = base.model_copy( + update={"name": base.name or "vertexai.GenerativeModel.generate_content_async"} + ) + send_message_settings = base.model_copy( + update={"name": base.name or "vertexai.ChatSession.send_message"} + ) + send_message_async_settings = base.model_copy( + update={"name": base.name or "vertexai.ChatSession.send_message_async"} + ) + generate_images_settings = base.model_copy( + update={"name": base.name or "vertexai.ImageGenerationModel.generate_images"} + ) + + _vertexai_patcher = MultiPatcher( + [ + SymbolPatcher( + lambda: importlib.import_module("vertexai.generative_models"), + "GenerativeModel.generate_content", + vertexai_wrapper_sync(generate_content_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("vertexai.generative_models"), + "GenerativeModel.generate_content_async", + vertexai_wrapper_async(generate_content_async_settings), ), - ), - SymbolPatcher( - lambda: importlib.import_module("vertexai.generative_models"), - "ChatSession.send_message", - vertexai_wrapper_sync(name="vertexai.ChatSession.send_message"), - ), - SymbolPatcher( - lambda: importlib.import_module("vertexai.generative_models"), - "ChatSession.send_message_async", - vertexai_wrapper_async(name="vertexai.ChatSession.send_message_async"), - ), - SymbolPatcher( - lambda: importlib.import_module("vertexai.preview.vision_models"), - "ImageGenerationModel.generate_images", - vertexai_wrapper_sync(name="vertexai.ImageGenerationModel.generate_images"), - ), - ] -) + SymbolPatcher( + lambda: importlib.import_module("vertexai.generative_models"), + "ChatSession.send_message", + vertexai_wrapper_sync(send_message_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("vertexai.generative_models"), + "ChatSession.send_message_async", + vertexai_wrapper_async(send_message_async_settings), + ), + SymbolPatcher( + lambda: importlib.import_module("vertexai.preview.vision_models"), + "ImageGenerationModel.generate_images", + vertexai_wrapper_sync(generate_images_settings), + ), + ] + ) + + return _vertexai_patcher diff --git a/weave/trace/autopatch.py b/weave/trace/autopatch.py index 0619194a2247..c1c47d375127 100644 --- a/weave/trace/autopatch.py +++ b/weave/trace/autopatch.py @@ -34,89 +34,89 @@ class AutopatchSettings(BaseModel): # These will be uncommented as we add support for more integrations. Note that - # anthropic: IntegrationSettings = Field(default_factory=IntegrationSettings) - # cerebras: IntegrationSettings = Field(default_factory=IntegrationSettings) - # cohere: IntegrationSettings = Field(default_factory=IntegrationSettings) - # dspy: IntegrationSettings = Field(default_factory=IntegrationSettings) - # google_ai_studio: IntegrationSettings = Field(default_factory=IntegrationSettings) - # groq: IntegrationSettings = Field(default_factory=IntegrationSettings) - # instructor: IntegrationSettings = Field(default_factory=IntegrationSettings) - # langchain: IntegrationSettings = Field(default_factory=IntegrationSettings) - # litellm: IntegrationSettings = Field(default_factory=IntegrationSettings) - # llamaindex: IntegrationSettings = Field(default_factory=IntegrationSettings) - # mistral: IntegrationSettings = Field(default_factory=IntegrationSettings) - # notdiamond: IntegrationSettings = Field(default_factory=IntegrationSettings) + anthropic: IntegrationSettings = Field(default_factory=IntegrationSettings) + cerebras: IntegrationSettings = Field(default_factory=IntegrationSettings) + cohere: IntegrationSettings = Field(default_factory=IntegrationSettings) + dspy: IntegrationSettings = Field(default_factory=IntegrationSettings) + google_ai_studio: IntegrationSettings = Field(default_factory=IntegrationSettings) + groq: IntegrationSettings = Field(default_factory=IntegrationSettings) + instructor: IntegrationSettings = Field(default_factory=IntegrationSettings) + litellm: IntegrationSettings = Field(default_factory=IntegrationSettings) + mistral: IntegrationSettings = Field(default_factory=IntegrationSettings) + notdiamond: IntegrationSettings = Field(default_factory=IntegrationSettings) openai: IntegrationSettings = Field(default_factory=IntegrationSettings) - # vertexai: IntegrationSettings = Field(default_factory=IntegrationSettings) + vertexai: IntegrationSettings = Field(default_factory=IntegrationSettings) @validate_call def autopatch(settings: Optional[AutopatchSettings] = None) -> None: - from weave.integrations.anthropic.anthropic_sdk import anthropic_patcher - from weave.integrations.cerebras.cerebras_sdk import cerebras_patcher - from weave.integrations.cohere.cohere_sdk import cohere_patcher - from weave.integrations.dspy.dspy_sdk import dspy_patcher + from weave.integrations.anthropic.anthropic_sdk import get_anthropic_patcher + from weave.integrations.cerebras.cerebras_sdk import get_cerebras_patcher + from weave.integrations.cohere.cohere_sdk import get_cohere_patcher + from weave.integrations.dspy.dspy_sdk import get_dspy_patcher from weave.integrations.google_ai_studio.google_ai_studio_sdk import ( - google_genai_patcher, + get_google_genai_patcher, ) - from weave.integrations.groq.groq_sdk import groq_patcher - from weave.integrations.instructor.instructor_sdk import instructor_patcher + from weave.integrations.groq.groq_sdk import get_groq_patcher + from weave.integrations.instructor.instructor_sdk import get_instructor_patcher from weave.integrations.langchain.langchain import langchain_patcher - from weave.integrations.litellm.litellm import litellm_patcher + from weave.integrations.litellm.litellm import get_litellm_patcher from weave.integrations.llamaindex.llamaindex import llamaindex_patcher - from weave.integrations.mistral import mistral_patcher - from weave.integrations.notdiamond.tracing import notdiamond_patcher + from weave.integrations.mistral import get_mistral_patcher + from weave.integrations.notdiamond.tracing import get_notdiamond_patcher from weave.integrations.openai.openai_sdk import get_openai_patcher - from weave.integrations.vertexai.vertexai_sdk import vertexai_patcher + from weave.integrations.vertexai.vertexai_sdk import get_vertexai_patcher if settings is None: settings = AutopatchSettings() get_openai_patcher(settings.openai).attempt_patch() - mistral_patcher.attempt_patch() - litellm_patcher.attempt_patch() + get_mistral_patcher(settings.mistral).attempt_patch() + get_litellm_patcher(settings.litellm).attempt_patch() + get_anthropic_patcher(settings.anthropic).attempt_patch() + get_groq_patcher(settings.groq).attempt_patch() + get_instructor_patcher(settings.instructor).attempt_patch() + get_dspy_patcher(settings.dspy).attempt_patch() + get_cerebras_patcher(settings.cerebras).attempt_patch() + get_cohere_patcher(settings.cohere).attempt_patch() + get_google_genai_patcher(settings.google_ai_studio).attempt_patch() + get_notdiamond_patcher(settings.notdiamond).attempt_patch() + get_vertexai_patcher(settings.vertexai).attempt_patch() + llamaindex_patcher.attempt_patch() langchain_patcher.attempt_patch() - anthropic_patcher.attempt_patch() - groq_patcher.attempt_patch() - instructor_patcher.attempt_patch() - dspy_patcher.attempt_patch() - cerebras_patcher.attempt_patch() - cohere_patcher.attempt_patch() - google_genai_patcher.attempt_patch() - notdiamond_patcher.attempt_patch() - vertexai_patcher.attempt_patch() def reset_autopatch() -> None: - from weave.integrations.anthropic.anthropic_sdk import anthropic_patcher - from weave.integrations.cerebras.cerebras_sdk import cerebras_patcher - from weave.integrations.cohere.cohere_sdk import cohere_patcher - from weave.integrations.dspy.dspy_sdk import dspy_patcher + from weave.integrations.anthropic.anthropic_sdk import get_anthropic_patcher + from weave.integrations.cerebras.cerebras_sdk import get_cerebras_patcher + from weave.integrations.cohere.cohere_sdk import get_cohere_patcher + from weave.integrations.dspy.dspy_sdk import get_dspy_patcher from weave.integrations.google_ai_studio.google_ai_studio_sdk import ( - google_genai_patcher, + get_google_genai_patcher, ) - from weave.integrations.groq.groq_sdk import groq_patcher - from weave.integrations.instructor.instructor_sdk import instructor_patcher + from weave.integrations.groq.groq_sdk import get_groq_patcher + from weave.integrations.instructor.instructor_sdk import get_instructor_patcher from weave.integrations.langchain.langchain import langchain_patcher - from weave.integrations.litellm.litellm import litellm_patcher + from weave.integrations.litellm.litellm import get_litellm_patcher from weave.integrations.llamaindex.llamaindex import llamaindex_patcher - from weave.integrations.mistral import mistral_patcher - from weave.integrations.notdiamond.tracing import notdiamond_patcher + from weave.integrations.mistral import get_mistral_patcher + from weave.integrations.notdiamond.tracing import get_notdiamond_patcher from weave.integrations.openai.openai_sdk import get_openai_patcher - from weave.integrations.vertexai.vertexai_sdk import vertexai_patcher + from weave.integrations.vertexai.vertexai_sdk import get_vertexai_patcher get_openai_patcher().undo_patch() - mistral_patcher.undo_patch() - litellm_patcher.undo_patch() + get_mistral_patcher().undo_patch() + get_litellm_patcher().undo_patch() + get_anthropic_patcher().undo_patch() + get_groq_patcher().undo_patch() + get_instructor_patcher().undo_patch() + get_dspy_patcher().undo_patch() + get_cerebras_patcher().undo_patch() + get_cohere_patcher().undo_patch() + get_google_genai_patcher().undo_patch() + get_notdiamond_patcher().undo_patch() + get_vertexai_patcher().undo_patch() + llamaindex_patcher.undo_patch() langchain_patcher.undo_patch() - anthropic_patcher.undo_patch() - groq_patcher.undo_patch() - instructor_patcher.undo_patch() - dspy_patcher.undo_patch() - cerebras_patcher.undo_patch() - cohere_patcher.undo_patch() - google_genai_patcher.undo_patch() - notdiamond_patcher.undo_patch() - vertexai_patcher.undo_patch() From 5fc28f245e6ff655e96439a260256dd9f49e348b Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Tue, 17 Dec 2024 18:01:00 -0800 Subject: [PATCH 33/62] add better search function to llm dropdown (#3280) --- .../PlaygroundChat/LLMDropdown.tsx | 39 ++++++++++++------- 1 file changed, 25 insertions(+), 14 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx index fb0e280484a0..a15437de1b19 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/LLMDropdown.tsx @@ -20,20 +20,23 @@ export const LLMDropdown: React.FC = ({value, onChange}) => { label: LLM_PROVIDER_LABELS[provider], // filtering to the LLMs that are supported by that provider options: Object.keys(LLM_MAX_TOKENS) - .reduce>( - (acc, llm) => { - if (LLM_MAX_TOKENS[llm as LLMMaxTokensKey].provider === provider) { - acc.push({ - group: provider, - // add provider to the label if the LLM is not already prefixed with it - label: llm.includes(provider) ? llm : provider + '/' + llm, - value: llm, - }); - } - return acc; - }, - [] - ) + .reduce< + Array<{ + provider_label: string; + label: string; + value: string; + }> + >((acc, llm) => { + if (LLM_MAX_TOKENS[llm as LLMMaxTokensKey].provider === provider) { + acc.push({ + provider_label: LLM_PROVIDER_LABELS[provider], + // add provider to the label if the LLM is not already prefixed with it + label: llm.includes(provider) ? llm : provider + '/' + llm, + value: llm, + }); + } + return acc; + }, []) .sort((a, b) => a.label.localeCompare(b.label)), })); @@ -74,6 +77,14 @@ export const LLMDropdown: React.FC = ({value, onChange}) => { options={options} size="medium" isSearchable + filterOption={(option, inputValue) => { + const searchTerm = inputValue.toLowerCase(); + return ( + option.data.provider_label.toLowerCase().includes(searchTerm) || + option.data.label.toLowerCase().includes(searchTerm) || + option.data.value.toLowerCase().includes(searchTerm) + ); + }} /> ); From 6a093a4f2d8088e0d5e02c6ca2a5688cc017ac0d Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Tue, 17 Dec 2024 18:01:08 -0800 Subject: [PATCH 34/62] fix(weave): Prevent sending null message in playground (#3278) * Filter null messages, prevent sending null message * clean --- .../PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx | 9 +++++++-- .../PlaygroundChat/PlaygroundChatInput.tsx | 6 +++--- .../PlaygroundChat/useChatCompletionFunctions.tsx | 8 +++++--- 3 files changed, 15 insertions(+), 8 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx index b6b6e7c420d3..8fc02fea9b10 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx @@ -41,7 +41,6 @@ export const PlaygroundChat = ({ const {handleRetry, handleSend} = useChatCompletionFunctions( setPlaygroundStates, setIsLoading, - chatText, playgroundStates, entity, project, @@ -168,7 +167,13 @@ export const PlaygroundChat = ({ content: string, toolCallId?: string ) => { - handleSend(role, idx, content, toolCallId); + handleSend( + role, + chatText, + idx, + content, + toolCallId + ); }, setSelectedChoiceIndex: (choiceIndex: number) => setPlaygroundStateField( diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx index cac631a8fcf8..d1a627fc4833 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChatInput.tsx @@ -10,8 +10,8 @@ type PlaygroundChatInputProps = { chatText: string; setChatText: (text: string) => void; isLoading: boolean; - onSend: (role: PlaygroundMessageRole) => void; - onAdd: (role: PlaygroundMessageRole, text: string) => void; + onSend: (role: PlaygroundMessageRole, chatText: string) => void; + onAdd: (role: PlaygroundMessageRole, chatText: string) => void; settingsTab: number | null; }; @@ -43,7 +43,7 @@ export const PlaygroundChatInput: React.FC = ({ }; const handleSend = (role: PlaygroundMessageRole) => { - onSend(role); + onSend(role, chatText); handleReset(); }; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx index c73e5d429190..80e4a32d0add 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx @@ -13,7 +13,6 @@ import {clearTraceCall} from './useChatFunctions'; export const useChatCompletionFunctions = ( setPlaygroundStates: (states: PlaygroundState[]) => void, setIsLoading: (isLoading: boolean) => void, - chatText: string, playgroundStates: PlaygroundState[], entity: string, project: string, @@ -59,19 +58,22 @@ export const useChatCompletionFunctions = ( const handleSend = async ( role: PlaygroundMessageRole, + chatText: string, callIndex?: number, content?: string, toolCallId?: string ) => { try { setIsLoading(true); - const newMessage = createMessage(role, content || chatText, toolCallId); + const newMessageContent = content || chatText; + const newMessage = createMessage(role, newMessageContent, toolCallId); const updatedStates = playgroundStates.map((state, index) => { if (callIndex !== undefined && callIndex !== index) { return state; } const updatedState = appendChoiceToMessages(state); - if (updatedState.traceCall?.inputs?.messages) { + // If the new message is not empty, add it to the messages + if (newMessageContent && updatedState.traceCall?.inputs?.messages) { updatedState.traceCall.inputs.messages.push(newMessage); } return updatedState; From df066280696c1a0c01d56d3994be687ca8a6f770 Mon Sep 17 00:00:00 2001 From: Justin Tulk Date: Wed, 18 Dec 2024 09:27:55 -0800 Subject: [PATCH 35/62] chore(app): Fixing string wrapping bugs inside modified dropdown (#3273) --- .../elements/ModifiedDropdown.test.tsx | 46 +++++++++++++++++++ .../components/elements/ModifiedDropdown.tsx | 40 +++++++++++----- 2 files changed, 75 insertions(+), 11 deletions(-) diff --git a/weave-js/src/common/components/elements/ModifiedDropdown.test.tsx b/weave-js/src/common/components/elements/ModifiedDropdown.test.tsx index 3557537cbe8a..89c0b2c5948f 100644 --- a/weave-js/src/common/components/elements/ModifiedDropdown.test.tsx +++ b/weave-js/src/common/components/elements/ModifiedDropdown.test.tsx @@ -52,6 +52,18 @@ describe('testing simple search', () => { value: '_step', key: '_step', }, + { + icon: 'wbic-ic-up-arrow', + text: 'Stepperoni', + value: '_stepperoni', + key: '_stepperoni', + }, + { + icon: 'wbic-ic-up-arrow', + text: '99', + value: 99, + key: '_99', + }, { icon: 'calendar', text: 'Relative Time (Wall)', @@ -137,6 +149,40 @@ describe('testing simple search', () => { expect(results.every(r => (r.value as string).includes('loss'))).toBe(true); }); + it('simpleSearch matches case-insensitive regex strings', () => { + const results = simpleSearch(options, 'LOSS', { + allowRegexSearch: true, + }); + expect(results.every(r => (r.value as string).includes('loss'))).toBe(true); + }); + + it('simpleSearch matches case-insensitive regex strings', () => { + const results = simpleSearch(options, 'tep$', { + allowRegexSearch: true, + }); + expect(results.length).toBe(1); + expect(results.every(r => (r.value as string).includes('_step'))).toBe( + true + ); + }); + + it('simpleSearch matches options with number values', () => { + const results = simpleSearch(options, '99$', { + allowRegexSearch: true, + }); + expect(results.length).toBe(1); + results.forEach(r => { + expect(r.value).toEqual(99); + }); + }); + + it('simpleSearch matches all results on * regex string', () => { + const results = simpleSearch(options, '*', { + allowRegexSearch: true, + }); + expect(results.length).toBe(options.length); + }); + it('simpleSearch can disallow matching regex patterns', () => { const results = simpleSearch(options, '.*s.*s.*'); expect(results.length).toBe(0); diff --git a/weave-js/src/common/components/elements/ModifiedDropdown.tsx b/weave-js/src/common/components/elements/ModifiedDropdown.tsx index 301abe035f75..02b69a98644c 100644 --- a/weave-js/src/common/components/elements/ModifiedDropdown.tsx +++ b/weave-js/src/common/components/elements/ModifiedDropdown.tsx @@ -45,9 +45,23 @@ type LabelCoord = { const ITEM_LIMIT_VALUE = '__item_limit'; +/** + * The functionality here is similar to `searchRegexFromQuery` in `panelbank.ts` + */ export function getAsValidRegex(s: string): RegExp | null { + let cleanS = s.trim(); + + // if the query is a single '*', match everything (even though * isn't technically a valid regex) + if (cleanS === '*') { + cleanS = '.*'; + } + + if (cleanS.length === 0) { + return null; + } + try { - return new RegExp(s); + return new RegExp(cleanS, 'i'); } catch (e) { return null; } @@ -64,14 +78,18 @@ export const simpleSearch = ( return _.chain(options) .filter(o => { - const text = JSON.stringify(o.text).toLowerCase(); - return regex ? regex.test(text) : _.includes(text, query.toLowerCase()); + const t = typeof o.text === 'string' ? o.text : JSON.stringify(o.text); + + return regex + ? regex.test(t) + : _.includes(t.toLowerCase(), query.toLowerCase()); }) .sortBy(o => { - const valJSON = typeof o.text === 'string' ? `"${query}"` : query; - return JSON.stringify(o.text).toLowerCase() === valJSON.toLowerCase() - ? 0 - : 1; + const oString = + typeof o.text === 'string' ? o.text : JSON.stringify(o.text); + const qString = typeof query === 'string' ? query : JSON.stringify(query); + + return oString.toLowerCase() === qString.toLowerCase() ? 0 : 1; }) .value(); }; @@ -148,10 +166,10 @@ const ModifiedDropdown: FC = React.memo( _.concat(currentOptions, search(propsOptions, query) as Option[]) ); } else { - const updatedOptions = currentOptions.concat( - simpleSearch(propsOptions, query, {allowRegexSearch}) as Option[] - ); - setOptions(updatedOptions); + const matchedOptions = simpleSearch(propsOptions, query, { + allowRegexSearch, + }) as Option[]; + setOptions([...currentOptions, ...matchedOptions]); } }, debounceTime || 400), 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"output": 3.125e-07, "created_at": "2024-11-01 09:09:13" + }, + { + "provider": "vertex_ai-language-models", + "input": 1.25e-06, + "output": 5e-06, + "created_at": "2024-12-18 09:00:21" } ], "gemini-1.5-pro-002": [ @@ -1425,6 +1437,12 @@ "input": 7.8125e-08, "output": 3.125e-07, "created_at": "2024-11-01 09:09:13" + }, + { + "provider": "vertex_ai-language-models", + "input": 1.25e-06, + "output": 5e-06, + "created_at": "2024-12-18 09:00:21" } ], "gemini-1.5-pro-001": [ @@ -1439,6 +1457,12 @@ "input": 7.8125e-08, "output": 3.125e-07, "created_at": "2024-11-01 09:09:13" + }, + { + "provider": "vertex_ai-language-models", + "input": 1.25e-06, + "output": 5e-06, + "created_at": "2024-12-18 09:00:21" } ], "gemini-1.5-pro-preview-0514": [ @@ -1495,6 +1519,12 @@ "input": 4.688e-09, "output": 4.6875e-09, "created_at": "2024-11-01 09:09:13" + }, + { + "provider": "vertex_ai-language-models", + "input": 7.5e-08, + "output": 3e-07, + "created_at": "2024-12-18 09:00:21" } ], 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"us.anthropic.claude-3-5-sonnet-20240620-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.anthropic.claude-3-5-sonnet-20241022-v2:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.anthropic.claude-3-haiku-20240307-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.anthropic.claude-3-5-haiku-20241022-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.anthropic.claude-3-opus-20240229-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-sonnet-20240229-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-5-sonnet-20240620-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-5-sonnet-20241022-v2:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-haiku-20240307-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-5-haiku-20241022-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.anthropic.claude-3-opus-20240229-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/1-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/6-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/1-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/6-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/1-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/6-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/1-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/6-month-commitment/anthropic.claude-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/1-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/6-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/1-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/6-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/1-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/6-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/1-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/6-month-commitment/anthropic.claude-v2": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/1-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/6-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/1-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/6-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/1-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/6-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/1-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/6-month-commitment/anthropic.claude-v2:1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/1-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/6-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/1-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/6-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-2/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/1-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-northeast-1/6-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/1-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-central-1/6-month-commitment/anthropic.claude-instant-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.command-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/*/1-month-commitment/cohere.command-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/*/6-month-commitment/cohere.command-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.command-light-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/*/1-month-commitment/cohere.command-light-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/*/6-month-commitment/cohere.command-light-text-v14": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.command-r-plus-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.command-r-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.embed-english-v3": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "cohere.embed-multilingual-v3": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama2-13b-chat-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama2-70b-chat-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-south-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ca-central-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-west-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-west-2/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/sa-east-1/meta.llama3-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-east-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/us-west-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ap-south-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/ca-central-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-west-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/eu-west-2/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "bedrock/sa-east-1/meta.llama3-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-1-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-1-8b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-1-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-1-70b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-1-405b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-1-405b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-2-1b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-2-1b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.meta.llama3-2-1b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-2-3b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-2-3b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "eu.meta.llama3-2-3b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-2-11b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-2-11b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "meta.llama3-2-90b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "us.meta.llama3-2-90b-instruct-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "512-x-512/50-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "512-x-512/max-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "max-x-max/50-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "max-x-max/max-steps/stability.stable-diffusion-xl-v0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "1024-x-1024/50-steps/stability.stable-diffusion-xl-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "1024-x-1024/max-steps/stability.stable-diffusion-xl-v1": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "stability.sd3-large-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + }, + "stability.stable-image-ultra-v1:0": { + "litellm_provider": "bedrock", + "api_key_name": "BEDROCK_API_KEY" + } +} \ No newline at end of file diff --git a/weave/trace_server/model_providers/model_providers.py b/weave/trace_server/model_providers/model_providers.py index 1b967a890957..773ce34841c2 100644 --- a/weave/trace_server/model_providers/model_providers.py +++ b/weave/trace_server/model_providers/model_providers.py @@ -64,7 +64,7 @@ def main( ) os.makedirs(os.path.dirname(full_path), exist_ok=True) with open(full_path, "w") as f: - json.dump(providers, f) + json.dump(providers, f, indent=2) print( f"Updated model to model provider info file at: {full_path}. {len(providers)} models updated." ) From 5fd95bdd0a6fdba5bcadfb27bdc52daf5a8ee001 Mon Sep 17 00:00:00 2001 From: domphan-wandb Date: Wed, 18 Dec 2024 10:57:04 -0800 Subject: [PATCH 37/62] feat(weave_query): add ops to query weave traces from a query panel (#3269) * feat(weave_query): create api client for trace server * feat(weave_query): Create ops to fetch traces and traces types (#3270) --- weave-js/src/core/model/helpers.ts | 6 +- weave-js/src/core/ops/domain/project.ts | 78 ++++++++++++- weave-js/src/core/ops/traceTypes.ts | 25 +++++ .../weave_query/ops_domain/project_ops.py | 103 ++++++++++++++++++ .../weave_query/wandb_trace_server_api.py | 74 +++++++++++++ 5 files changed, 284 insertions(+), 2 deletions(-) create mode 100644 weave-js/src/core/ops/traceTypes.ts create mode 100644 weave_query/weave_query/wandb_trace_server_api.py diff --git a/weave-js/src/core/model/helpers.ts b/weave-js/src/core/model/helpers.ts index 32b560ad4a6d..e0500d3b365b 100644 --- a/weave-js/src/core/model/helpers.ts +++ b/weave-js/src/core/model/helpers.ts @@ -897,10 +897,14 @@ export function isObjectTypeLike(t: any): t is ObjectType | Union { ); } -export function typedDict(propertyTypes: {[key: string]: Type}): TypedDictType { +export function typedDict( + propertyTypes: {[key: string]: Type}, + notRequiredKeys?: string[] +): TypedDictType { return { type: 'typedDict', propertyTypes, + notRequiredKeys, }; } diff --git a/weave-js/src/core/ops/domain/project.ts b/weave-js/src/core/ops/domain/project.ts index d8bbb1cdf649..ee3d14b655fe 100644 --- a/weave-js/src/core/ops/domain/project.ts +++ b/weave-js/src/core/ops/domain/project.ts @@ -1,7 +1,14 @@ import * as Urls from '../../_external/util/urls'; -import {hash, list} from '../../model'; +import {hash, list, typedDict, union} from '../../model'; import {docType} from '../../util/docs'; import * as OpKinds from '../opKinds'; +import { + traceFilterType, + traceLimitType, + traceOffsetType, + traceQueryType, + traceSortByType, +} from '../traceTypes'; import {connectionToNodes} from './util'; const makeProjectOp = OpKinds.makeTaggingStandardOp; @@ -297,3 +304,72 @@ export const opProjectRunQueues = makeProjectOp({ returnType: inputTypes => list('runQueue'), resolver: ({project}) => project.runQueues, }); + +const projectTracesArgTypes = { + ...projectArgTypes, + payload: union([ + 'none', + typedDict( + { + filter: traceFilterType, + limit: traceLimitType, + offset: traceOffsetType, + sort_by: traceSortByType, + query: traceQueryType, + }, + ['filter', 'limit', 'offset', 'sort_by', 'query'] + ), + ]), +}; + +const projectTracesArgTypesDescription = { + project: projectArgDescription, + payload: 'The payload object to the trace api', + 'payload.filter': `The filter object used when querying traces`, + 'payload.limit': `A number representing the limit for number of trace calls`, + 'payload.offset': `A number representing the offset for the number of trace calls`, + 'payload.sort_by': `An array with a dictionary with keys \`field\`() and \`direction\` ("asc"|"desc")`, + 'payload.query': `A dictionary to query data inspired by mongodb aggregation operators`, +}; + +export const opProjectTracesType = makeProjectOp({ + name: 'project-tracesType', + argTypes: projectTracesArgTypes, + description: `Returns the ${docType('list', { + plural: true, + })} for a ${docType('project')}`, + argDescriptions: projectTracesArgTypesDescription, + returnValueDescription: `The ${docType('list', { + plural: true, + })} for a ${docType('project')}`, + returnType: inputTypes => 'type', + resolver: ({project}) => project.traces, + hidden: true, +}); + +export const opProjectTraces = makeProjectOp({ + name: 'project-traces', + argTypes: projectTracesArgTypes, + description: `Returns the ${docType('list', { + plural: true, + })} of traces for a ${docType('project')}`, + argDescriptions: projectTracesArgTypesDescription, + returnValueDescription: `The ${docType('list', { + plural: true, + })} for a ${docType('project')}`, + returnType: inputTypes => list(typedDict({})), + resolver: ({project}) => project.traces, + hidden: true, + resolveOutputType: async ( + inputTypes, + node, + executableNode, + client, + stack + ) => { + const res = await client.query( + opProjectTracesType(executableNode.fromOp.inputs as any) + ); + return res; + }, +}); diff --git a/weave-js/src/core/ops/traceTypes.ts b/weave-js/src/core/ops/traceTypes.ts new file mode 100644 index 000000000000..9cfa2e756160 --- /dev/null +++ b/weave-js/src/core/ops/traceTypes.ts @@ -0,0 +1,25 @@ +import {dict, list, typedDict, union} from '../model'; + +const traceFilterPropertyTypes = { + trace_roots_only: union(['none', 'boolean']), + op_names: union(['none', list('string')]), + input_refs: union(['none', list('string')]), + output_refs: union(['none', list('string')]), + parent_ids: union(['none', list('string')]), + trace_ids: union(['none', list('string')]), + call_ids: union(['none', list('string')]), + wb_user_ids: union(['none', list('string')]), + wb_run_ids: union(['none', list('string')]), +}; + +export const traceFilterType = union([ + 'none', + typedDict(traceFilterPropertyTypes, Object.keys(traceFilterPropertyTypes)), +]); +export const traceLimitType = union(['none', 'number']); +export const traceOffsetType = union(['none', 'number']); +export const traceSortByType = union([ + 'none', + list(typedDict({field: 'string', direction: 'string'})), +]); +export const traceQueryType = union(['none', dict('any')]); diff --git a/weave_query/weave_query/ops_domain/project_ops.py b/weave_query/weave_query/ops_domain/project_ops.py index 0cfbaf051173..de4272fa8cef 100644 --- a/weave_query/weave_query/ops_domain/project_ops.py +++ b/weave_query/weave_query/ops_domain/project_ops.py @@ -3,6 +3,8 @@ from weave_query import errors from weave_query import weave_types as types +from weave_query import ops_arrow +from weave_query.wandb_trace_server_api import get_wandb_trace_api from weave_query.api import op from weave_query import input_provider from weave_query.gql_op_plugin import wb_gql_op_plugin @@ -259,3 +261,104 @@ def artifacts( for typeEdge in project["artifactTypes_100"]["edges"] for edge in typeEdge["node"]["artifactCollections_100"]["edges"] ] + +def _get_project_traces(project, payload): + project_id = f'{project["entity"]["name"]}/{project["name"]}' + filter = None + limit = None + offset = None + sort_by = None + query = None + if payload is not None: + filter = payload.get("filter") + limit = payload.get("limit") + offset = payload.get("offset") + sort_by = payload.get("sort_by") + query = payload.get("query") + trace_api = get_wandb_trace_api() + return trace_api.query_calls_stream(project_id, filter=filter, limit=limit, offset=offset, sort_by=sort_by, query=query) + +traces_filter_property_types = { + "op_names": types.optional(types.List(types.String())), + "input_refs": types.optional(types.List(types.String())), + "output_refs": types.optional(types.List(types.String())), + "parent_ids": types.optional(types.List(types.String())), + "trace_ids": types.optional(types.List(types.String())), + "call_ids": types.optional(types.List(types.String())), + "trace_roots_only": types.optional(types.Boolean()), + "wb_user_ids": types.optional(types.List(types.String())), + "wb_run_ids": types.optional(types.List(types.String())), +} + +traces_input_types = { + "project": wdt.ProjectType, + "payload": types.optional(types.TypedDict(property_types={ + "filter": types.optional(types.TypedDict(property_types=traces_filter_property_types, not_required_keys=set(traces_filter_property_types.keys()))), + "limit": types.optional(types.Number()), + "offset": types.optional(types.Number()), + "sort_by": types.optional(types.List(types.TypedDict(property_types={"field": types.String(), "direction": types.String()}))), + "query": types.optional(types.Dict()) + }, not_required_keys=set(['filter', 'limit', 'offset', 'sort_by', 'query']))) +} + +traces_output_type = types.TypedDict(property_types={ + "id": types.String(), + "project_id": types.String(), + "op_name": types.String(), + "display_name": types.optional(types.String()), + "trace_id": types.String(), + "parent_id": types.optional(types.String()), + "started_at": types.Timestamp(), + "attributes": types.Dict(types.String(), types.Any()), + "inputs": types.Dict(types.String(), types.Any()), + "ended_at": types.optional(types.Timestamp()), + "exception": types.optional(types.String()), + "output": types.optional(types.Any()), + "summary": types.optional(types.Any()), + "wb_user_id": types.optional(types.String()), + "wb_run_id": types.optional(types.String()), + "deleted_at": types.optional(types.Timestamp()) +}) + +@op( + name="project-tracesType", + input_type=traces_input_types, + output_type=types.TypeType(), + plugins=wb_gql_op_plugin( + lambda inputs, inner: """ + entity { + id + name + } + """ + ), + hidden=True +) +def traces_type(project, payload): + res = _get_project_traces(project, payload) + if res: + return types.TypeRegistry.type_of(res) + else: + return types.TypeRegistry.type_of([]) + +@op( + name="project-traces", + input_type=traces_input_types, + output_type=ops_arrow.ArrowWeaveListType(traces_output_type), + plugins=wb_gql_op_plugin( + lambda inputs, inner: """ + entity { + id + name + } + """ + ), + refine_output_type=traces_type, + hidden=True +) +def traces(project, payload): + res = _get_project_traces(project, payload) + if res: + return ops_arrow.to_arrow(res) + else: + return ops_arrow.to_arrow([]) diff --git a/weave_query/weave_query/wandb_trace_server_api.py b/weave_query/weave_query/wandb_trace_server_api.py new file mode 100644 index 000000000000..4af605a90a42 --- /dev/null +++ b/weave_query/weave_query/wandb_trace_server_api.py @@ -0,0 +1,74 @@ +# This is an experimental client api used to make requests to the +# Weave Trace Server +import typing +import requests +import json +from requests.auth import HTTPBasicAuth + +from weave_query import environment as weave_env +from weave_query import engine_trace, server_error_handling + +from weave_query.context_state import WandbApiContext, _wandb_api_context + +tracer = engine_trace.tracer() # type: ignore + +def _get_wandb_api_context() -> typing.Optional[WandbApiContext]: + return _wandb_api_context.get() + +class WandbTraceApi: + def __init__(self) -> None: + self.session = requests.Session() + + def query_calls_stream( + self, + project_id: str, + filter: typing.Optional[dict] = None, + limit: typing.Optional[int] = None, + offset: typing.Optional[int] = None, + sort_by: typing.Optional[list] = None, + query: typing.Optional[dict] = None, + ) -> typing.Any: + with tracer.trace("query_calls_stream"): + wandb_api_context = _get_wandb_api_context() + headers = {'content-type': 'application/json'} + auth = None + cookies = None + if wandb_api_context is not None: + headers = wandb_api_context.headers + cookies = wandb_api_context.cookies + if wandb_api_context.api_key is not None: + auth = HTTPBasicAuth("api", wandb_api_context.api_key) + if cookies: + headers["authorization"] = "Basic Og==" # base64 encoding of ":" + + url = f"{weave_env.weave_trace_server_url()}/calls/stream_query" + + payload = { + "project_id": project_id, + } + + if filter: + payload["filter"] = filter + if limit: + payload["limit"] = limit + if offset: + payload["offset"] = offset + if sort_by: + payload["sort_by"] = sort_by + if query: + payload["query"] = query + + with self.session.post( + url=url, headers=headers, auth=auth, cookies=cookies, json=payload + ) as r: + results = [] + if r.status_code == 200: + for line in r.iter_lines(): + if line: + results.append(json.loads(line)) + return results + else: + raise server_error_handling.WeaveInternalHttpException.from_code(r.status_code, "Weave Traces query failed") + +def get_wandb_trace_api() -> WandbTraceApi: + return WandbTraceApi() \ No newline at end of file From 36c17aba88f9eff8a1490ce2d9047af78f6899b6 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Wed, 18 Dec 2024 12:06:14 -0800 Subject: [PATCH 38/62] feat(weave): run it n times for o1 models (#3286) * run it n times for o1 modles * pr comments --- weave/trace_server/llm_completion.py | 72 ++++++++++++++++++++++++---- 1 file changed, 64 insertions(+), 8 deletions(-) diff --git a/weave/trace_server/llm_completion.py b/weave/trace_server/llm_completion.py index bec4361c856f..e8ac86ffb33a 100644 --- a/weave/trace_server/llm_completion.py +++ b/weave/trace_server/llm_completion.py @@ -32,20 +32,54 @@ def lite_llm_completion( # This allows us to drop params that are not supported by the LLM provider litellm.drop_params = True + + if supports_n_times(inputs.model) or inputs.n == 1: + try: + res = litellm.completion( + **inputs.model_dump(exclude_none=True), + api_key=api_key, + aws_access_key_id=aws_access_key_id, + aws_secret_access_key=aws_secret_access_key, + aws_region_name=aws_region_name, + ) + return tsi.CompletionsCreateRes(response=res.model_dump()) + except Exception as e: + error_message = str(e) + error_message = error_message.replace("litellm.", "") + return tsi.CompletionsCreateRes(response={"error": error_message}) + + # o1 models with n > 1 + results = [] try: - res = litellm.completion( - **inputs.model_dump(exclude_none=True), - api_key=api_key, - aws_access_key_id=aws_access_key_id, - aws_secret_access_key=aws_secret_access_key, - aws_region_name=aws_region_name, - ) - return tsi.CompletionsCreateRes(response=res.model_dump()) + # get n results + for i in range(inputs.n or 1): + results.append( + litellm.completion( + **inputs.model_dump(exclude_none=True), + api_key=api_key, + aws_access_key_id=aws_access_key_id, + aws_secret_access_key=aws_secret_access_key, + aws_region_name=aws_region_name, + ) + ) except Exception as e: error_message = str(e) error_message = error_message.replace("litellm.", "") return tsi.CompletionsCreateRes(response={"error": error_message}) + final_result = results[0] + for idx, result in enumerate(results): + if idx != 0: + # append choices + final_result.choices.append(result.choices[0]) + + # sum usage + final_result.usage = sum_dict_leaves( + [result.usage.model_dump() for result in results] + ) + + return tsi.CompletionsCreateRes(response=final_result.model_dump()) + def get_bedrock_credentials( model_name: str, @@ -88,3 +122,25 @@ def get_bedrock_credentials( ) return aws_access_key_id, aws_secret_access_key, aws_region_name + + +NO_N_TIMES_MODEL_NAMES = ("o1-mini", "o1-preview", "o1") + + +# if the model name contains any of these strings, we don't support n > 1 +def supports_n_times(model_name: str) -> bool: + return not any(x in model_name for x in NO_N_TIMES_MODEL_NAMES) + + +# copied from weave/trace/weave_client.py +def sum_dict_leaves(dicts: list[dict]) -> dict: + # dicts is a list of dictionaries, that may or may not + # have nested dictionaries. Sum all the leaves that match + result: dict = {} + for d in dicts: + for k, v in d.items(): + if isinstance(v, dict): + result[k] = sum_dict_leaves([result.get(k, {}), v]) + elif v is not None: + result[k] = result.get(k, 0) + v + return result From efed3f067884906edec2d0b33b4f4a300cb71159 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Wed, 18 Dec 2024 12:27:17 -0800 Subject: [PATCH 39/62] add o1 to playground (#3285) --- .../pages/PlaygroundPage/llmMaxTokens.ts | 183 ++++++++++-------- 1 file changed, 98 insertions(+), 85 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts index 123e8f34af24..a6ee834f5cfb 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/llmMaxTokens.ts @@ -7,6 +7,98 @@ export const LLM_MAX_TOKENS = { max_tokens: 16384, supports_function_calling: true, }, + 'gpt-3.5-turbo-0125': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-3.5-turbo-1106': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4-1106-preview': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4-32k-0314': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: false, + }, + 'gpt-4-turbo-2024-04-09': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4-turbo-preview': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4-turbo': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4o-2024-05-13': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4o-2024-08-06': { + provider: 'openai', + max_tokens: 16384, + supports_function_calling: true, + }, + 'gpt-4o-mini-2024-07-18': { + provider: 'openai', + max_tokens: 16384, + supports_function_calling: true, + }, + 'gpt-4o': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'gpt-4o-2024-11-20': { + provider: 'openai', + max_tokens: 4096, + supports_function_calling: true, + }, + 'o1-mini-2024-09-12': { + provider: 'openai', + max_tokens: 65536, + supports_function_calling: true, + }, + 'o1-mini': { + provider: 'openai', + max_tokens: 65536, + supports_function_calling: true, + }, + 'o1-preview-2024-09-12': { + provider: 'openai', + max_tokens: 32768, + supports_function_calling: true, + }, + 'o1-preview': { + provider: 'openai', + max_tokens: 32768, + supports_function_calling: true, + }, + 'o1-2024-12-17': { + provider: 'openai', + max_tokens: 100000, + supports_function_calling: true, + }, + + // Anthropic models 'claude-3-5-sonnet-20240620': { provider: 'anthropic', max_tokens: 8192, @@ -32,6 +124,8 @@ export const LLM_MAX_TOKENS = { max_tokens: 4096, supports_function_calling: true, }, + + // Gemini models 'gemini/gemini-1.5-flash-001': { provider: 'gemini', max_tokens: 8192, @@ -102,71 +196,8 @@ export const LLM_MAX_TOKENS = { max_tokens: 8192, supports_function_calling: true, }, - 'gpt-3.5-turbo-0125': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-3.5-turbo-1106': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4-1106-preview': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4-32k-0314': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: false, - }, - 'gpt-4-turbo-2024-04-09': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4-turbo-preview': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4-turbo': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4o-2024-05-13': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4o-2024-08-06': { - provider: 'openai', - max_tokens: 16384, - supports_function_calling: true, - }, - 'gpt-4o-mini-2024-07-18': { - provider: 'openai', - max_tokens: 16384, - supports_function_calling: true, - }, - 'gpt-4o': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, - 'gpt-4o-2024-11-20': { - provider: 'openai', - max_tokens: 4096, - supports_function_calling: true, - }, + + // Groq models 'groq/gemma-7b-it': { provider: 'groq', max_tokens: 8192, @@ -202,27 +233,8 @@ export const LLM_MAX_TOKENS = { max_tokens: 32768, supports_function_calling: true, }, - 'o1-mini-2024-09-12': { - provider: 'openai', - max_tokens: 65536, - supports_function_calling: true, - }, - 'o1-mini': { - provider: 'openai', - max_tokens: 65536, - supports_function_calling: true, - }, - 'o1-preview-2024-09-12': { - provider: 'openai', - max_tokens: 32768, - supports_function_calling: true, - }, - 'o1-preview': { - provider: 'openai', - max_tokens: 32768, - supports_function_calling: true, - }, + // Bedrock models 'ai21.j2-mid-v1': { provider: 'bedrock', max_tokens: 8191, @@ -369,6 +381,7 @@ export const LLM_MAX_TOKENS = { supports_function_calling: true, }, + // xAI models 'xai/grok-beta': { max_tokens: 131072, provider: 'xai', From a24512a058a0017d3da31757ceb47b255877357f Mon Sep 17 00:00:00 2001 From: Ishita Bindlish Date: Wed, 18 Dec 2024 14:19:02 -0800 Subject: [PATCH 40/62] chore(app): add endIcon prop to Tag (#3281) * add endIcon prop to Tag * lint --- weave-js/src/components/Tag/Tag.tsx | 3 +++ 1 file changed, 3 insertions(+) diff --git a/weave-js/src/components/Tag/Tag.tsx b/weave-js/src/components/Tag/Tag.tsx index 1704585dafe0..85ec9d8a6e2e 100644 --- a/weave-js/src/components/Tag/Tag.tsx +++ b/weave-js/src/components/Tag/Tag.tsx @@ -53,6 +53,7 @@ export type TagProps = { color?: TagColorName; showIcon?: boolean; iconName?: IconName; + endIconName?: IconName; // Wrapping the Tag in Tailwind can be a problem if the Tailwind wrapper is supplied higher up // and there is a need to position the Tag as a direct child for something like flexbox Wrapper?: React.ComponentType | null; @@ -64,6 +65,7 @@ export const Tag: FC = ({ color, showIcon = false, iconName, + endIconName, Wrapper = Tailwind, isInteractive = false, }) => { @@ -79,6 +81,7 @@ export const Tag: FC = ({ {label} + {endIconName && } ); if (Wrapper) { From 8ce826d763eefcafe21a8fa7349de372fabaef5b Mon Sep 17 00:00:00 2001 From: Griffin Tarpenning Date: Wed, 18 Dec 2024 14:56:51 -0800 Subject: [PATCH 41/62] chore(ui): fix spacing for annotation types in feedback grid (#3288) --- .../Browse3/feedback/FeedbackGridInner.tsx | 18 +++++++++++------- .../StructuredFeedback/humanAnnotationTypes.ts | 3 +++ 2 files changed, 14 insertions(+), 7 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/FeedbackGridInner.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/FeedbackGridInner.tsx index 15a4bad2262b..b8b2f4154c28 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/FeedbackGridInner.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/FeedbackGridInner.tsx @@ -9,6 +9,7 @@ import {Feedback} from '../pages/wfReactInterface/traceServerClientTypes'; import {StyledDataGrid} from '../StyledDataGrid'; import {FeedbackGridActions} from './FeedbackGridActions'; import {FeedbackTypeChip} from './FeedbackTypeChip'; +import {isHumanAnnotationType} from './StructuredFeedback/humanAnnotationTypes'; type FeedbackGridInnerProps = { feedback: Feedback[]; @@ -44,7 +45,10 @@ export const FeedbackGridInner = ({ {params.row.payload.emoji} ); } - if (params.row.feedback_type.startsWith('wandb.annotation.')) { + if (isHumanAnnotationType(params.row.feedback_type)) { + if (typeof params.row.payload.value === 'string') { + return ; + } return ( { - if ( - params.model.feedback_type !== 'wandb.reaction.1' && - params.model.feedback_type !== 'wandb.note.1' - ) { - return 'auto'; + if (isWandbFeedbackType(params.model.feedback_type)) { + return 38; } - return 38; + return 'auto'; }} columns={columns} disableRowSelectionOnClick /> ); }; + +const isWandbFeedbackType = (feedbackType: string) => + feedbackType.startsWith('wandb.'); diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts index 2b675e244dc1..ce28f3113fec 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/feedback/StructuredFeedback/humanAnnotationTypes.ts @@ -23,3 +23,6 @@ export type HumanAnnotationPayload = { }; export type HumanAnnotation = Feedback & {}; + +export const isHumanAnnotationType = (feedbackType: string) => + feedbackType.startsWith(HUMAN_ANNOTATION_BASE_TYPE); From 7d1d212705e5c6f6eb2da2a5f75eadeeffb23787 Mon Sep 17 00:00:00 2001 From: Josiah Lee Date: Wed, 18 Dec 2024 14:58:40 -0800 Subject: [PATCH 42/62] fix(weave): Unbreak editing and deleting choices (#3287) * unbreak deleting choices * fix bug * fix carousel view breaking when choice is deleted * fix editing * fix reerendering --- .../Home/Browse3/pages/ChatView/ChoiceView.tsx | 2 +- .../Browse3/pages/ChatView/ChoicesDrawer.tsx | 2 +- .../pages/ChatView/ChoicesViewCarousel.tsx | 17 ++++++++++++++--- .../ChatView/PlaygroundMessagePanelButtons.tsx | 7 +------ .../PlaygroundChat/PlaygroundChat.tsx | 2 +- .../useChatCompletionFunctions.tsx | 4 +++- .../pages/PlaygroundPage/PlaygroundPage.tsx | 8 +++----- 7 files changed, 24 insertions(+), 18 deletions(-) diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoiceView.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoiceView.tsx index e511d6fbf5cd..cca47eae5f86 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoiceView.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoiceView.tsx @@ -21,7 +21,7 @@ export const ChoiceView = ({ const {message} = choice; return (

    {choices.map((c, index) => ( -
    +
    {index === selectedChoiceIndex ? ( diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesViewCarousel.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesViewCarousel.tsx index b19afb7c3f4f..8befed430096 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesViewCarousel.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/ChoicesViewCarousel.tsx @@ -1,4 +1,4 @@ -import React from 'react'; +import React, {useEffect} from 'react'; import {Button} from '../../../../../Button'; import {ChoiceView} from './ChoiceView'; @@ -28,11 +28,22 @@ export const ChoicesViewCarousel = ({ setSelectedChoiceIndex(newStep); }; + useEffect(() => { + if (selectedChoiceIndex >= choices.length) { + setSelectedChoiceIndex(choices.length - 1); + } + }, [selectedChoiceIndex, choices, setSelectedChoiceIndex]); + + const choiceIndex = + selectedChoiceIndex >= choices.length + ? choices.length - 1 + : selectedChoiceIndex; + return (
    diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelButtons.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelButtons.tsx index 9c286019409d..d4cd3a44c183 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelButtons.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ChatView/PlaygroundMessagePanelButtons.tsx @@ -67,12 +67,7 @@ export const PlaygroundMessagePanelButtons: React.FC< size="small" startIcon="pencil-edit" onClick={() => { - setEditorHeight( - contentRef?.current?.clientHeight - ? // Accounts for padding and save buttons - contentRef.current.clientHeight - 56 - : null - ); + setEditorHeight(contentRef?.current?.clientHeight ?? null); }} tooltip={ !hasContent ? 'We currently do not support editing functions' : 'Edit' diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx index 8fc02fea9b10..c3a30d67adf2 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/PlaygroundChat.tsx @@ -155,7 +155,7 @@ export const PlaygroundChat = ({ deleteMessage(idx, messageIndex, responseIndexes), editMessage: (messageIndex, newMessage) => editMessage(idx, messageIndex, newMessage), - deleteChoice: choiceIndex => + deleteChoice: (messageIndex, choiceIndex) => deleteChoice(idx, choiceIndex), addMessage: newMessage => addMessage(idx, newMessage), editChoice: (choiceIndex, newChoice) => diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx index 80e4a32d0add..23c30c7e5584 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundChat/useChatCompletionFunctions.tsx @@ -218,7 +218,9 @@ const appendChoiceToMessages = ( updatedState.traceCall.inputs.messages.push( updatedState.traceCall.output.choices[choiceIndex].message ); - } else { + } else if ( + updatedState.traceCall.output.choices[updatedState.selectedChoiceIndex] + ) { updatedState.traceCall.inputs.messages.push( updatedState.traceCall.output.choices[updatedState.selectedChoiceIndex] .message diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx index 4cadba37db91..7358468ee5cc 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/PlaygroundPage/PlaygroundPage.tsx @@ -108,11 +108,9 @@ export const PlaygroundPageInner = (props: PlaygroundPageProps) => { setPlaygroundStateFromTraceCall(callWithCosts.result.traceCall); } } - }, [ - callWithCosts.loading, - setPlaygroundStateFromTraceCall, - callWithCosts.result, - ]); + // Only set the call the first time the page loads, and we get the call + // eslint-disable-next-line react-hooks/exhaustive-deps + }, [callWithCosts.loading]); useEffect(() => { setPlaygroundStates(prev => { From fcb51c3335f24667f9caa0d3918d425c2253e808 Mon Sep 17 00:00:00 2001 From: "Chris Van Pelt (CVP)" Date: Thu, 19 Dec 2024 16:00:22 -0800 Subject: [PATCH 43/62] feat(weave): Add mods page and menu item only for wandb admins (#3279) * Basic UI for mods * Pass along purl for wild demo purposes * Mod demo updates * Wire up secret setting, add mod visual indicator * gradient similar to streamlit * Added secret types * Fix mutation types * Use the wandb api host for our iframe * Wire up backend host * Make mods page scroll properly * Only show mods to admins * Fix TSC errors * Fix project sidebar deps * Fix bungled merge * Add grace period for startup * Try some debugging, increase retries * Fix formatting * Fix trailing newline * Enabling container logging * Use wget instead of curl as we dont have it in the container anymore * Fix shadow variable lint error --- .github/workflows/test.yaml | 16 +- wb_schema.gql | 21 ++ weave-js/src/common/hooks/useSecrets.ts | 121 ++++++ .../components/FancyPage/useProjectSidebar.ts | 27 +- .../PagePanelComponents/Home/Browse3.tsx | 18 + .../Home/Browse3/pages/ModsPage.tsx | 353 ++++++++++++++++++ weave-js/src/config.ts | 3 +- 7 files changed, 550 insertions(+), 9 deletions(-) create mode 100644 weave-js/src/common/hooks/useSecrets.ts create mode 100644 weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ModsPage.tsx diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index 295b6ef89227..ab0a55fb384c 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -81,11 +81,16 @@ jobs: env: CI: 1 WANDB_ENABLE_TEST_CONTAINER: true + LOGGING_ENABLED: true ports: - '8080:8080' - '8083:8083' - '9015:9015' - options: --health-cmd "curl --fail http://localhost:8080/healthz || exit 1" --health-interval=5s --health-timeout=3s + options: >- + --health-cmd "wget -q -O /dev/null http://localhost:8080/healthz || exit 1" + --health-interval=5s + --health-timeout=3s + --health-start-period=10s outputs: tests_should_run: ${{ steps.test_check.outputs.tests_should_run }} steps: @@ -254,11 +259,16 @@ jobs: env: CI: 1 WANDB_ENABLE_TEST_CONTAINER: true + LOGGING_ENABLED: true ports: - '8080:8080' - '8083:8083' - '9015:9015' - options: --health-cmd "curl --fail http://localhost:8080/healthz || exit 1" --health-interval=5s --health-timeout=3s + options: >- + --health-cmd "wget -q -O /dev/null http://localhost:8080/healthz || exit 1" + --health-interval=5s + --health-timeout=3s + --health-start-period=10s weave_clickhouse: image: clickhouse/clickhouse-server ports: @@ -267,6 +277,8 @@ jobs: steps: - name: Checkout uses: actions/checkout@v3 + - name: Enable debug logging + run: echo "ACTIONS_STEP_DEBUG=true" >> $GITHUB_ENV - name: Set up Python ${{ matrix.python-version-major }}.${{ matrix.python-version-minor }} uses: actions/setup-python@v5 with: diff --git a/wb_schema.gql b/wb_schema.gql index f326ab4d4872..13152c785475 100644 --- a/wb_schema.gql +++ b/wb_schema.gql @@ -104,10 +104,24 @@ type UpdateUserPayload { clientMutationId: String } +input InsertSecretInput { + entityName: String! + secretName: String! + @constraints(max: 255, pattern: "^[A-Za-z_][A-Za-z0-9_]*$") + secretValue: String! + clientMutationId: String +} + +type InsertSecretPayload { + success: Boolean! + clientMutationId: String +} + type Mutation { updateUser(input: UpdateUserInput!): UpdateUserPayload @audit deleteView(input: DeleteViewInput!): DeleteViewPayload upsertView(input: UpsertViewInput!): UpsertViewPayload @audit + insertSecret(input: InsertSecretInput!): InsertSecretPayload updateArtifactSequence( input: UpdateArtifactSequenceInput! ): UpdateArtifactCollectionPayload @@ -275,6 +289,12 @@ type RowType { row: JSON! } +type Secret { + entityId: Int! + name: String! + createdAt: DateTime! +} + type Entity implements Node { id: ID! name: String! @@ -296,6 +316,7 @@ type Entity implements Node { filters: JSONString collectionTypes: [ArtifactCollectionType!] ): ArtifactCollectionConnection + secrets: [Secret!]! } type EntityConnection { diff --git a/weave-js/src/common/hooks/useSecrets.ts b/weave-js/src/common/hooks/useSecrets.ts new file mode 100644 index 000000000000..8446be55dd73 --- /dev/null +++ b/weave-js/src/common/hooks/useSecrets.ts @@ -0,0 +1,121 @@ +/** + * This is a GraphQL approach to querying viewer information. + * There is a query engine based approach in useViewerUserInfo.ts. + */ + +import { + gql, + TypedDocumentNode, + useApolloClient, + useMutation, +} from '@apollo/client'; +import {useEffect, useState} from 'react'; + +const SECRETS_QUERY = gql` + query secrets($entityName: String!) { + entity(name: $entityName) { + id + secrets { + entityId + name + createdAt + } + } + } +`; + +const SECRETS_MUTATION = gql` + mutation insertSecret( + $entityName: String! + $secretName: String! + $secretValue: String! + ) { + insertSecret( + input: { + entityName: $entityName + secretName: $secretName + secretValue: $secretValue + } + ) { + success + } + } +` as TypedDocumentNode; + +type SecretResponseLoading = { + loading: true; + entityId: string; + secrets: string[]; +}; +type SecretResponseSuccess = { + loading: false; + entityId: string; + secrets: string[]; +}; +type SecretResponse = SecretResponseLoading | SecretResponseSuccess; + +export const useSecrets = ({ + entityName, +}: { + entityName: string; +}): SecretResponse => { + const [response, setResponse] = useState({ + loading: true, + entityId: '', + secrets: [], + }); + + const apolloClient = useApolloClient(); + + useEffect(() => { + let mounted = true; + apolloClient + .query({query: SECRETS_QUERY as any, variables: {entityName}}) + .then(result => { + if (!mounted) { + return; + } + const secretPayloads = result.data.entity?.secrets ?? []; + if (!secretPayloads) { + setResponse({ + loading: false, + entityId: '', + secrets: [], + }); + return; + } + const secrets = secretPayloads.map((secret: any) => secret.name).sort(); + setResponse({ + loading: false, + entityId: result.data.entity?.id ?? '', + secrets, + }); + }); + return () => { + mounted = false; + }; + }, [apolloClient, entityName]); + + return response; +}; + +interface InsertSecretResponse { + insertSecret: { + success: boolean; + }; +} + +type InsertSecretVariables = { + entityName: string; + secretName: string; + secretValue: string; +}; + +export const useInsertSecret = () => { + const [insertSecret] = useMutation< + InsertSecretResponse, + InsertSecretVariables + >(SECRETS_MUTATION); + + return insertSecret; +}; diff --git a/weave-js/src/components/FancyPage/useProjectSidebar.ts b/weave-js/src/components/FancyPage/useProjectSidebar.ts index 19dce4215df7..2bd8c5635d55 100644 --- a/weave-js/src/components/FancyPage/useProjectSidebar.ts +++ b/weave-js/src/components/FancyPage/useProjectSidebar.ts @@ -11,7 +11,8 @@ export const useProjectSidebar = ( hasWeaveData: boolean, hasTraceBackend: boolean = true, hasModelsAccess: boolean = true, - isLaunchActive: boolean = false + isLaunchActive: boolean = false, + isWandbAdmin: boolean = false ): FancyPageSidebarItem[] => { // Should show models sidebar items if we have models data or if we don't have a trace backend let showModelsSidebarItems = hasModelsData || !hasTraceBackend; @@ -34,6 +35,14 @@ export const useProjectSidebar = ( const isShowAll = isNoSidebarItems || isBothSidebarItems; return useMemo(() => { + const weaveOnlyMenu = [ + 'weave/leaderboards', + 'weave/operations', + 'weave/objects', + ]; + if (isWandbAdmin) { + weaveOnlyMenu.push('weave/mods'); + } const allItems = isLoading ? [] : [ @@ -178,6 +187,14 @@ export const useProjectSidebar = ( isShown: isWeaveOnly, iconName: IconNames.TypeNumberAlt, }, + { + type: 'button' as const, + name: 'Mods', + slug: 'weave/mods', + isShown: false, // Only shown in overflow menu + isDisabled: !isWandbAdmin, + iconName: IconNames.LayoutGrid, + }, { type: 'button' as const, name: 'Leaders', @@ -205,7 +222,7 @@ export const useProjectSidebar = ( type: 'menuPlaceholder' as const, key: 'moreWeaveOnly', isShown: isWeaveOnly, - menu: ['weave/leaderboards', 'weave/operations', 'weave/objects'], + menu: weaveOnlyMenu, }, { type: 'menuPlaceholder' as const, @@ -216,10 +233,7 @@ export const useProjectSidebar = ( 'weave/models', 'weave/datasets', 'weave/scorers', - 'weave/leaderboards', - 'weave/operations', - 'weave/objects', - ], + ].concat(weaveOnlyMenu), }, ]; @@ -252,5 +266,6 @@ export const useProjectSidebar = ( isModelsOnly, showWeaveSidebarItems, isLaunchActive, + isWandbAdmin, ]); }; diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3.tsx index 761fd5369309..c0192ddbe9f6 100644 --- a/weave-js/src/components/PagePanelComponents/Home/Browse3.tsx +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3.tsx @@ -71,6 +71,7 @@ import {SimplePageLayoutContext} from './Browse3/pages/common/SimplePageLayout'; import {CompareEvaluationsPage} from './Browse3/pages/CompareEvaluationsPage/CompareEvaluationsPage'; import {LeaderboardListingPage} from './Browse3/pages/LeaderboardPage/LeaderboardListingPage'; import {LeaderboardPage} from './Browse3/pages/LeaderboardPage/LeaderboardPage'; +import {ModsPage} from './Browse3/pages/ModsPage'; import {ObjectPage} from './Browse3/pages/ObjectPage'; import {ObjectVersionPage} from './Browse3/pages/ObjectVersionPage'; import { @@ -146,6 +147,7 @@ const tabOptions = [ 'leaderboards', 'boards', 'tables', + 'mods', 'scorers', ]; const tabs = tabOptions.join('|'); @@ -484,6 +486,11 @@ const Browse3ProjectRoot: FC<{ + {/* MODS */} + + + {/* PLAYGROUND */} { return ; }; +const ModsPageBinding = () => { + const params = useParamsDecoded(); + return ( + + ); +}; + const TablesPageBinding = () => { const params = useParamsDecoded(); diff --git a/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ModsPage.tsx b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ModsPage.tsx new file mode 100644 index 000000000000..05d6da871c02 --- /dev/null +++ b/weave-js/src/components/PagePanelComponents/Home/Browse3/pages/ModsPage.tsx @@ -0,0 +1,353 @@ +import Box from '@mui/material/Box'; +import Button from '@mui/material/Button'; +import Card from '@mui/material/Card'; +import CardActions from '@mui/material/CardActions'; +import CardContent from '@mui/material/CardContent'; +import Drawer from '@mui/material/Drawer'; +import Grid from '@mui/material/Grid2'; +import TextField from '@mui/material/TextField'; +import { + useInsertSecret, + useSecrets, +} from '@wandb/weave/common/hooks/useSecrets'; +import {TargetBlank} from '@wandb/weave/common/util/links'; +import React, {useCallback, useEffect, useMemo, useState} from 'react'; +import {useHistory} from 'react-router'; +import {Link} from 'react-router-dom'; + +import {SimplePageLayout} from './common/SimplePageLayout'; + +type Mod = { + id: string; + name: string; + description: string; + secrets: string[]; +}; + +type ModCategoryType = 'Labeling' | 'Analysis' | 'Demos'; + +type ModCategories = { + [key in ModCategoryType]: Mod[]; +}; + +const modCats: ModCategories = { + Labeling: [ + { + id: 'labeling/html', + name: 'HTML Labeler', + description: 'Label generated HTML against your own criteria', + secrets: ['WANDB_API_KEY', 'OPENAI_API_KEY'], + }, + ], + Analysis: [ + { + id: 'embedding-classifier', + name: 'Embedding Classifier', + description: + 'Classify your traces by embedding them and have an LLM label the clusters', + secrets: ['WANDB_API_KEY', 'OPENAI_API_KEY'], + }, + { + id: 'cost-dashboard', + name: 'Cost Dashboard', + description: 'A dashboard showing your project LLM costs over time', + secrets: ['WANDB_API_KEY'], + }, + ], + Demos: [ + { + id: 'welcome', + name: 'Welcome', + description: 'A simple welcome mod', + secrets: ['WANDB_API_KEY'], + }, + { + id: 'openui', + name: 'OpenUI', + description: 'Generate UIs from images or text descriptions', + secrets: ['WANDB_API_KEY', 'OPENAI_API_KEY', 'ANTHROPIC_API_KEY'], + }, + { + id: 'gist', + name: 'Gist', + description: 'Load a gist that contains a streamlit app.py file', + secrets: ['WANDB_API_KEY'], + }, + ], +}; + +const ModCategory: React.FC<{ + category: ModCategoryType; + mods: Mod[]; + entity: string; + project: string; +}> = ({category, mods, entity, project}) => { + return ( + +
    + {category} +
    + +     + ); +}; + +const ModCards: React.FC<{mods: Mod[]; entity: string; project: string}> = ({ + mods, + entity, + project, +}) => { + const searchParams = new URLSearchParams(window.location.search); + const [gistId, setGistId] = useState(''); + + const purl = + searchParams.get('purl') || + (gistId !== '' ? encodeURIComponent(`pkg:gist/${gistId}`) : ''); + return ( + + {mods.map(mod => ( + + + +
    {mod.name}
    +

    {mod.description}

    +     + + {mod.id === 'gist' && ( + setGistId(e.target.value)} + /> + )} + + +     +     + ))} +     + ); +}; + +const ModFrame: React.FC<{entity: string; project: string; modId: string}> = ({ + entity, + project, + modId, +}) => { + const searchParams = new URLSearchParams(window.location.search); + const purl = searchParams.get('purl'); + return ( +

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