diff --git a/.github/workflows/integration-tests.yml b/.github/workflows/integration-tests.yml index 58202119..8629ba28 100644 --- a/.github/workflows/integration-tests.yml +++ b/.github/workflows/integration-tests.yml @@ -1,10 +1,26 @@ name: Integration Tests -on: workflow_dispatch +on: + pull_request: + branches: [ "main", "dev" ] jobs: test: runs-on: ubuntu-latest + services: + postgres: + image: pgvector/pgvector:pg16 + ports: + - 5432:5432 + env: + POSTGRES_USER: ${{ secrets.INTEG_POSTGRES_USER }} + POSTGRES_PASSWORD: ${{ secrets.INTEG_POSTGRES_PASSWORD }} + POSTGRES_DB: ${{ secrets.INTEG_POSTGRES_DB }} + options: >- + --health-cmd pg_isready + --health-interval 10s + --health-timeout 5s + --health-retries 5 strategy: fail-fast: false matrix: @@ -38,6 +54,15 @@ jobs: MONGODB_DATABASE_NAME: ${{ secrets.INTEG_MONGODB_DATABASE_NAME }} MONGODB_COLLECTION_NAME: ${{ secrets.INTEG_MONGODB_COLLECTION_NAME }} MONGODB_PASSWORD: ${{ secrets.INTEG_MONGODB_PASSWORD }} + MONGODB_INDEX_NAME: ${{ secrets.INTEG_MONGODB_INDEX_NAME }} + MONGODB_VECTOR_PATH: ${{ secrets.INTEG_MONGODB_VECTOR_PATH }} + AZURE_MONGODB_HOST: ${{ secrets.INTEG_AZURE_MONGODB_HOST }} + AZURE_MONGODB_USERNAME: ${{ secrets.INTEG_AZURE_MONGODB_USERNAME }} + AZURE_MONGODB_PASSWORD: ${{ secrets.INTEG_AZURE_MONGODB_PASSWORD }} + AZURE_MONGODB_DATABASE_NAME: ${{ secrets.INTEG_AZURE_MONGODB_DATABASE_NAME }} + AZURE_MONGODB_COLLECTION_NAME: ${{ secrets.INTEG_AZURE_MONGODB_COLLECTION_NAME }} + AZURE_MONGODB_INDEX_NAME: ${{ secrets.INTEG_AZURE_MONGODB_INDEX_NAME }} + AZURE_MONGODB_VECTOR_PATH: ${{ secrets.INTEG_AZURE_MONGODB_VECTOR_PATH }} AMAZON_OPENSEARCH_HOST: ${{ secrets.INTEG_AMAZON_OPENSEARCH_HOST }} AMAZON_OPENSEARCH_INDEX_NAME: ${{ secrets.INTEG_AMAZON_OPENSEARCH_INDEX_NAME }} GOOGLE_API_KEY: ${{ secrets.INTEG_GOOGLE_API_KEY }} @@ -66,12 +91,18 @@ jobs: AZURE_OPENAI_DALL_E_3_DEPLOYMENT_ID: ${{ secrets.INTEG_AZURE_OPENAI_DALL_E_3_DEPLOYMENT_ID }} AZURE_OPENAI_DEV_2_API_BASE: ${{ secrets.INTEG_AZURE_OPENAI_DEV_2_API_BASE }} AZURE_OPENAI_DEV_2_API_KEY: ${{ secrets.INTEG_AZURE_OPENAI_DEV_2_API_KEY }} + AZURE_OPENAI_API_BASE: ${{ secrets.INTEG_AZURE_OPENAI_API_BASE }} COHERE_API_KEY: ${{ secrets.INTEG_COHERE_API_KEY }} GOOGLE_OWNER_EMAIL: ${{ secrets.INTEG_GOOGLE_OWNER_EMAIL }} LEONARDO_API_KEY: ${{ secrets.INTEG_LEONARDO_API_KEY }} LEONARDO_MODEL_ID: ${{ secrets.INTEG_LEONARDO_MODEL_ID }} SAGEMAKER_TENSORFLOW_HUB_MODEL: ${{ secrets.INTEG_SAGEMAKER_TENSORFLOW_HUB_MODEL }} SAGEMAKER_HUGGINGFACE_MODEL: ${{ secrets.INTEG_SAGEMAKER_HUGGINGFACE_MODEL }} + POSTGRES_USER: ${{ secrets.INTEG_POSTGRES_USER }} + POSTGRES_PASSWORD: ${{ secrets.INTEG_POSTGRES_PASSWORD }} + POSTGRES_DB: ${{ secrets.INTEG_POSTGRES_DB }} + POSTGRES_HOST: ${{ secrets.INTEG_POSTGRES_HOST }} + POSTGRES_PORT: ${{ secrets.INTEG_POSTGRES_PORT }} steps: - name: Checkout actions diff --git a/.github/workflows/pull-request-links.yml b/.github/workflows/pull-request-links.yml index f76df8fa..0d937ac9 100644 --- a/.github/workflows/pull-request-links.yml +++ b/.github/workflows/pull-request-links.yml @@ -17,3 +17,4 @@ jobs: with: project-slug: ${{ secrets.READTHEDOCS_PROJECT_SLUG }} single-version: 'false' + project-language: "" diff --git a/.readthedocs.yml b/.readthedocs.yml index d2a34089..eebfa731 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -10,7 +10,7 @@ build: - poetry config virtualenvs.create false - git clone -b $([ $READTHEDOCS_VERSION_NAME = "latest" ] && echo "main" || echo "dev") https://github.com/griptape-ai/griptape.git post_install: - - poetry install --with docs + - VIRTUAL_ENV=$READTHEDOCS_VIRTUALENV_PATH poetry install --with docs mkdocs: configuration: mkdocs.yml diff --git a/README.md b/README.md index 2129d7c8..8acbee8b 100644 --- a/README.md +++ b/README.md @@ -3,3 +3,5 @@ [![Docs](https://readthedocs.org/projects/griptape/badge/)](https://griptape.readthedocs.io) Docs for [Griptape](https://github.com/griptape-ai/griptape). + +Terms of Service was converted from .rtf file format using [Pandoc](https://pandoc.org/) with the following command: `pandoc -f rtf -t markdown terms-of-service.rtf > terms-of-service2.md` \ No newline at end of file diff --git a/docs/assets/css/extra.css b/docs/assets/css/extra.css index cbc902c4..17c7b433 100644 --- a/docs/assets/css/extra.css +++ b/docs/assets/css/extra.css @@ -5,3 +5,8 @@ .md-typeset table:not([class]) { display: table; } + +/* Hide the code block title since we're using it for other purposes.*/ +.filename { + display: none !important +} diff --git a/docs/examples/load-query-and-chat-marqo.md b/docs/examples/load-query-and-chat-marqo.md index 786a0cf2..1ffe41ba 100644 --- a/docs/examples/load-query-and-chat-marqo.md +++ b/docs/examples/load-query-and-chat-marqo.md @@ -6,7 +6,7 @@ from griptape.engines import VectorQueryEngine from griptape.loaders import WebLoader from griptape.structures import Agent from griptape.tools import VectorStoreClient -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver # Define the namespace namespace = "griptape-ai" @@ -19,13 +19,14 @@ vector_store = MarqoVectorStoreDriver( embedding_driver=OpenAiEmbeddingDriver() ) # Initialize the query engine -query_engine = VectorQueryEngine(vector_store_driver=vector_store) +query_engine = VectorQueryEngine(vector_store_driver=vector_store, prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo")) # Initialize the knowledge base tool vector_store_tool = VectorStoreClient( description="Contains information about the Griptape Framework from www.griptape.ai", query_engine=query_engine, namespace=namespace, + off_prompt=False ) # Load artifacts from the web diff --git a/docs/examples/multiple-agent-shared-memory.md b/docs/examples/multiple-agent-shared-memory.md new file mode 100644 index 00000000..c62a7063 --- /dev/null +++ b/docs/examples/multiple-agent-shared-memory.md @@ -0,0 +1,77 @@ +This example shows how to use one `Agent` to load content into `TaskMemory` and get that content from another `Agent` using `TaskMemoryClient`. + +The first `Agent` uses a remote vector store (`MongoDbAtlasVectorStoreDriver` in this example) to handle memory operations. The second `Agent` uses the same instance of `TaskMemory` and the `TaskMemoryClient` with the same `MongoDbAtlasVectorStoreDriver` to get the data. + +The `MongoDbAtlasVectorStoreDriver` assumes that you have a vector index configured where the path to the content is called `vector`, and the number of dimensions set on the index is `1536` (this is a commonly used number of dimensions for embedding models). + +`asker` uses the same instance of `TaskMemory` as `loader` so that `asker` has access to the `namespace_storages` that `loader` has set. + +```python +import os +from griptape.tools import WebScraper, VectorStoreClient, TaskMemoryClient +from griptape.structures import Agent +from griptape.drivers import AzureOpenAiChatPromptDriver, AzureOpenAiEmbeddingDriver, AzureMongoDbVectorStoreDriver +from griptape.engines import VectorQueryEngine, PromptSummaryEngine, CsvExtractionEngine, JsonExtractionEngine +from griptape.memory import TaskMemory +from griptape.artifacts import TextArtifact +from griptape.memory.task.storage import TextArtifactStorage +from griptape.config import StructureConfig, StructureGlobalDriversConfig + + +AZURE_OPENAI_ENDPOINT = os.getenv("AZURE_OPENAI_API_BASE") + +MONGODB_HOST = os.getenv("MONGODB_HOST") +MONGODB_USERNAME = os.getenv("MONGODB_USERNAME") +MONGODB_PASSWORD = os.getenv("MONGODB_PASSWORD") +MONGODB_DATABASE_NAME = os.getenv("MONGODB_DATABASE_NAME") +MONGODB_COLLECTION_NAME = os.getenv("MONGODB_COLLECTION_NAME") +MONGODB_INDEX_NAME = os.getenv("MONGODB_INDEX_NAME") +MONGODB_VECTOR_PATH = os.getenv("MONGODB_VECTOR_PATH") +MONGODB_CONNECTION_STRING = f"mongodb+srv://{MONGODB_USERNAME}:{MONGODB_PASSWORD}@{MONGODB_HOST}/{MONGODB_DATABASE_NAME}?tls=true&authMechanism=SCRAM-SHA-256&retrywrites=false&maxIdleTimeMS=120000" + + +azure_embedding_driver = AzureOpenAiEmbeddingDriver( + model='text-embedding-ada-002', + azure_endpoint=AZURE_OPENAI_ENDPOINT, + azure_deployment='text-embedding-ada-002' +) + +azure_prompt_driver = AzureOpenAiChatPromptDriver( + model='gpt-4', + azure_endpoint=AZURE_OPENAI_ENDPOINT, + azure_deployment='gpt-4' +) + +mongo_driver = AzureMongoDbVectorStoreDriver( + connection_string=MONGODB_CONNECTION_STRING, + database_name=MONGODB_DATABASE_NAME, + collection_name=MONGODB_COLLECTION_NAME, + embedding_driver=azure_embedding_driver, + index_name=MONGODB_INDEX_NAME, + vector_path=MONGODB_VECTOR_PATH +) + +loader = Agent( + tools=[ + WebScraper() + ], + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=azure_prompt_driver, + vector_store_driver=mongo_driver, + embedding_driver=azure_embedding_driver + ) + ), +) +asker = Agent( + tools=[ + TaskMemoryClient(off_prompt=False), + ], + meta_memory=loader.meta_memory, + task_memory=loader.task_memory, +) + +if __name__ == "__main__": + loader.run("Load https://medium.com/enterprise-rag/a-first-intro-to-complex-rag-retrieval-augmented-generation-a8624d70090f") + asker.run("why is retrieval augmented generation useful?") +``` diff --git a/docs/examples/talk-to-a-pdf.md b/docs/examples/talk-to-a-pdf.md index 2426aceb..40bbf187 100644 --- a/docs/examples/talk-to-a-pdf.md +++ b/docs/examples/talk-to-a-pdf.md @@ -9,7 +9,7 @@ from griptape.loaders import PdfLoader from griptape.structures import Agent from griptape.tools import VectorStoreClient from griptape.utils import Chat -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver namespace = "attention" @@ -17,6 +17,9 @@ namespace = "attention" response = requests.get("https://arxiv.org/pdf/1706.03762.pdf") engine = VectorQueryEngine( + prompt_driver=OpenAiChatPromptDriver( + model="gpt-3.5-turbo", + ), vector_store_driver=LocalVectorStoreDriver( embedding_driver=OpenAiEmbeddingDriver( api_key=os.getenv("OPENAI_API_KEY") diff --git a/docs/examples/talk-to-a-webpage.md b/docs/examples/talk-to-a-webpage.md index 15e8a38e..fbbcceca 100644 --- a/docs/examples/talk-to-a-webpage.md +++ b/docs/examples/talk-to-a-webpage.md @@ -8,12 +8,15 @@ from griptape.rules import Ruleset, Rule from griptape.structures import Agent from griptape.tools import VectorStoreClient from griptape.utils import Chat -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver namespace = "physics-wiki" engine = VectorQueryEngine( + prompt_driver=OpenAiChatPromptDriver( + model="gpt-3.5-turbo", + ), vector_store_driver=LocalVectorStoreDriver( embedding_driver=OpenAiEmbeddingDriver( api_key=os.getenv("OPENAI_API_KEY") diff --git a/docs/griptape-cloud/terms-of-service.md b/docs/griptape-cloud/terms-of-service.md index 76ddffd8..33ba4814 100644 --- a/docs/griptape-cloud/terms-of-service.md +++ b/docs/griptape-cloud/terms-of-service.md @@ -1,74 +1,391 @@ -__GRIPTAPE CLOUD PRIVATE PREVIEW TERMS__ - -__LAST UPDATED: DECEMBER 6, 2023__ - -__BY CLICKING “I ACCEPT,” PARTICIPATING IN GRIPTAPE INC’S (“GRIPTAPE” OR “WE”) PRIVATE PREVIEW WITH RESPECT TO THE SERVICE (“PRIVATE PREVIEW”), OR BY OTHERWISE ACCESSING OR USING THE SERVICE,__ EVALUATOR AGREES THAT IT HAS READ AND UNDERSTOOD, AND, AS A CONDITION TO ITS PARTICIPATION IN THE PRIVATE PREVIEW AND ITS ACCESS TO OR USE OF THE SERVICE, EVALUATOR AGREES TO BE BOUND BY, THE FOLLOWING PRIVATE PREVIEW TERMS, INCLUDING GRIPTAPE’S PRIVACY POLICY (TOGETHER, THIS “__AGREEMENT__”). IF EVALUATOR DOES NOT AGREE TO THE TERMS AND CONDITIONS SET FORTH HEREIN, THEN EVALUATOR DOES NOT HAVE GRIPTAPE’S PERMISSION TO PARTICIPATE IN THE PRIVATE PREVIEW OR TO ACCESS OR USE THE SERVICE. EVALUATOR’S USE OF THE SERVICE, AND GRIPTAPE’S MAKING AVAILABLE THE SERVICE TO EVALUATOR, CONSTITUTES AN AGREEMENT BY GRIPTAPE AND BY EVALUATOR TO BE BOUND BY THIS AGREEMENT. THE EFFECTIVE DATE OF THIS AGREEMENT IS THE DATE THAT YOU ACCEPT OR AGREE TO THIS AGREEMENT BY CLICKING “I ACCEPT,” PARTICIPATING IN THE PRIVATE PREVIEW, OR BY ACCESSING OR USING THE SERVICE (“__EFFECTIVE DATE__”). If Evaluator is an entity, organization, or Griptape, then: (i) the individual accepting this Agreement on Evaluator’s behalf represents and warrants that they have authority to bind Evaluator to this Agreement; (ii) Evaluator agrees to be bound by this Agreement; and (iii) the term "__Evaluator__" shall refer to such entity. - -__1. EVALUATION.__ - -Griptape offers an online software-as-a-service platform, where Griptape hosts user’s applications (“__Evaluator Applications__”) and enables users to deploy, run, and manage their applications on the platform (“__Service__”). Evaluator Applications may include applications written using the Griptape framework, which is comprised of open source software development tools that enable users to write software applications that interact with artificial intelligence (AI) systems such as large language models (LLMs). The Griptape framework is available at https://github.com/griptape-ai/griptape and is licensed for use by Evaluator under an open source license (“__Griptape Framework__”). As part of the Service, Griptape may make its API (as defined below) and SDK (as defined below) available to Evaluator. The Service, API, and SDK are collectively referred to herein as the “__Griptape IPR__” and any references to the Griptape IPR includes all components and portions thereof. Subject the terms and conditions of this Agreement, Griptape will provide Evaluator with access the Service using access credentials provided by Griptape to permit Evaluator (“__Access Credentials__”) to evaluate and test the Service for the Private Preview Period (defined below). Evaluator will provide, at its own expense, all equipment and third-party products and/or services necessary to evaluate the Service. Evaluator must use the Service in compliance with all applicable laws and regulations and related documentation, including, any limitations on the number of users or applications and any limits on memory, storage, and data associated with Evaluator’s use of the Service. - -__2. FEES.__ - -The Service is currently made available to Evaluator free of charge. Griptape reserves the right to determine pricing for the Service and to charge fees for the Service (or any component, feature, or functionality thereof). Griptape will provide Evaluator advance written notice of any such fees before they go into effect or become chargeable. Prior to any payment of fees, Evaluator will have an opportunity to review and accept any fees that will be charged to Evaluator. All fees are non-refundable. - -__3. TESTING PERIOD.__ - -This Agreement will begin on the Effective Date and continue in effect until the date Griptape terminates the Private Preview (as will be communicated by Griptape to Evaluator in writing or by providing notice through the Service), unless earlier terminated in accordance with this Agreement (“__Private Preview Period”__). Either party may terminate this Agreement for convenience at any time upon written notice to the other party. Griptape may suspend Evaluator’s access to the Services at any time. Upon the expiration or termination of this Agreement, Evaluator will discontinue all use of the Service. Sections 7.3 (Analytics), 7.4 (Feedback), 8 (Confidentiality; Data), 11 (Warranty Disclaimer), 12 (Warranties by Evaluator), 14 (Indemnification), and 16 (Miscellaneous) will all survive termination of this Agreement. - -__4. USE OF THE API.__ - -Subject to the Evaluator’s compliance with the Agreement, Griptape will make Griptape’s application programming interface and documentation (collectively “__API__”) available to Evaluator, which will enable customers to operate applications that interact with AI systems such as LLMs, and grants Evaluator a non-exclusive, non-transferable, non-sublicensable right and license under Griptape’s intellectual property rights in the API to use the API for the sole purpose of enabling Evaluator Applications to communicate with the Service and Third Party Products (as defined below). Evaluator agrees to comply with any published API documentation and any other information or policies that Griptape makes available from time to time regarding use of the API. In addition to any restrictions or limitations set forth herein, Evaluator will not: (a) use the API in a manner that, in Griptape’s discretion, exceeds specified call/query volumes, constitutes abusive or excessive use, or otherwise fails to comply with or is inconsistent with this Agreement; or (b) make any representations or warranties about the API to any third party. - -__5. USE OF THE SDK.__ - -Subject to Evaluator’s compliance with this Agreement, Griptape will make available Griptape’s software development kit consisting of sample code, documentation and the Griptape API (“__SDK__”) and grants to Evaluator a non-exclusive, non-transferable, non-sublicensable right and license under Griptape’s intellectual property rights in the SDK to: (a) use the SDK solely to enable Evaluator Applications in connection with the Service; and (b) modify any sample code included within the SDK in accordance with the documentation included with the SDK and subject to any restrictions and limitations specified in such documentation. - -__6. RESTRICTIONS; USAGE.__ - -Evaluator shall not: (a) modify, disassemble, create derivative works of, translate, decompile, reverse engineer, rent, lease, loan, transfer, or copy any portion of the Griptape IPR; (b) input, upload, transmit, or otherwise provide to or through the Griptape IPR any information or materials (including Evaluator Data) that are unlawful or injurious, or contain, transmit, or activate any virus, worm, Trojan horse, malware, or other malicious computer code; (c) circumvent, disable, or otherwise interfere with the Griptape IPR’s operation, security, or other technical features or measures of the Griptape IPR; (d) use the Griptape IPR to develop a similar or competing product or service; (e) perform or conduct any benchmarking or similar activities (including publishing benchmarks or performance information about the Griptape IPR); (f) transmit or upload any viruses, Trojan Horses, backdoors, malware, or any other forms of harmful or malicious materials to or through the Griptape IPR; or (g) permit any third party to do any of the foregoing. Evaluator shall use the Griptape IPR in compliance with all applicable laws and regulations, any documentation regarding use of the Griptape IPR as well as the terms of Griptape’s Acceptable Use Policy (available at https://docs.griptape.ai/griptape-cloud/acceptable-use) which is incorporated herein by reference. Evaluator must not circumvent or disable any security or other technological features of the Griptape IPR. Evaluator agrees to comply with all access and/or usage limitations that Griptape may make available from time to time. Griptape may impose limitations on Evaluator’s use of the Griptape IPR, including limits on: (i) the number and rate of API requests Evaluator may make to the Griptape IPR; (ii) the compute usage and storage capacities used by Evaluator in connection with the Griptape IPR, (iii) the number of Evaluator Applications; (iv) the quantity of data generated by Evaluator Applications; and (v) any other usage metrics that may be established by Griptape from time to time. - -__7. INTELLECTUAL PROPERTY.__ - -__7.1 Ownership.__ As between the parties, Griptape owns all right, title, and interest, including all intellectual property rights, in and to the Griptape IPR, including any improvements, modifications, and enhancements to them. Except for those rights expressly granted in this Agreement, no other rights to the Griptape IPR are granted, either express or implied, to Evaluator. - -__7.2 Evaluator Data.__ Evaluator hereby grants to Griptape a royalty-free, fully paid up, non-exclusive, and worldwide license (with the right to sublicense through multiple tiers), during the Private Preview Period, to use, host, copy, store, transmit, publicly display, modify, and create derivative works of, the Evaluator Data (as defined below) solely for purposes of: (a) providing the Griptape IPR; (b) developing, creating, and/or generating the Analytics; and (c) improving, providing, and enhancing the Griptape IPR. Evaluator owns and retains all right, title, and interest, including all related intellectual property and proprietary rights, in and to the Evaluator Data. As part of the Griptape IPR, Griptape will, during the Private Preview Period, host Evaluator Data in Griptape’s private cloud environment solely for purposes of providing the Griptape IPR. Evaluator is solely responsible for its Evaluator Data (including its content and accuracy, and for backing up Evaluator Data). For purposes of this Agreement, “__Evaluator Data__” means any data, content, Evaluator Applications, software code, or information that is uploaded, transmitted, submitted, provided, or made available by Evaluator to Griptape in connection with Evaluator’s access to or use of the Griptape IPR. - -__7.3 Analytics.__ Griptape may collect, generate, and derive Analytics for Griptape’s lawful business purposes, including to: (a) use it to monitor, operate, improve, and support the Griptape IPR and its performance, security, and stability; (b) create analytics, benchmarking, and performance data and reports; (c) track usage for billing purposes; and (d) develop new products and services. As between the parties, Griptape owns and retains all right, title, and interest, including all related intellectual property and proprietary rights, in and to the Analytics (including any improvements, modifications, and enhancements thereto), the know-how and analytical results generated in the processing and use of Analytics, and any and all new products, services, and developments, modifications, customizations, or improvements to the Griptape IPR made based on the Analytics. Evaluator will not interfere with the collection of Analytics. Griptape will not disclose Analytics externally, including in benchmarks or reports, unless such Analytics has been (a) de-identified so that it does not individually identify Evaluator or its users, or (b) aggregated with analytics from other Griptape customers. For purposes of this Agreement, “__Analytics__” means the data and information generated or collected by the features and functionalities of the Griptape IPR which are designed to generate statistics and models, to improve the Griptape IPR and to collect and analyze other information and data based on Evaluator’s use of the Griptape IPR. - -__7.3 Feedback.__ If Evaluator provides Griptape with recommendations, suggestions, or other feedback relating to the Griptape IPR or any other Griptape products or services (“__Feedback__”), Evaluator hereby grants Griptape an unrestricted, perpetual, irrevocable, non-exclusive, fully-paid, royalty-free right and license to freely use, disclose, reproduce, license, distribute, and otherwise exploit the Feedback in any manner and for any purpose, including to improve the Service and to commercialize the Feedback in any Griptape product, technology, service, specification, or other documentation. Griptape will have no obligation to provide Evaluator with attribution or compensation for any Feedback provided to Griptape. - -__8. CONFIDENTIALITY; DATA.__ - -Evaluator will maintain the confidentiality of and not disclose to any third party: (a) the terms of this Agreement, (b) all non-public information disclosed or otherwise made available by Griptape to Evaluator under this Agreement or through the Griptape IPR, and (c) all Feedback, all Griptape performance data, and all other information obtained through evaluation of the Griptape IPR. Griptape will protect the Evaluator Data using commercially reasonable administrative, technical, and physical safeguards designed to protect against illegal or unauthorized access or disclosure of such data. Please read the Griptape’s Privacy Policy (available at https://www.griptape.ai/privacy-policy) carefully for information relating to Griptape’s collection, use, storage, and disclosure of Evaluator’s personal information. - -__9. THIRD PARTY PRODUCTS.__ - -For purposes of this Agreement, “__Third Party Products__” means certain third-party applications, systems, software, products, or services, including services provided by large language model providers (“__LLM Providers__”) that interoperate with the Service and may be used by Evaluator. If Evaluator elects to enable, access, or use such Third Party Products, its access and use of such Third Party Products is governed solely by the terms and conditions and privacy policies of the provider of such Third Party Products, and Griptape does not endorse, is not responsible or liable for, and makes no representations or warranties as to any aspect of such Third Party Products, including their content, the manner in which they handle Evaluator’s data (including Evaluator Data and Evaluator Applications), or any interaction between Evaluator and the provider of such Third Party Products. 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Except as expressly stated in this Agreement, Griptape is under no obligation to support or maintain the Griptape IPR or to provide any updates, upgrades, or other technical support to Evaluator with respect to the Griptape IPR or Evaluator’s Evaluator Data. - -__11. WARRANTY DISCLAIMER.__ - -THE GRIPTAPE IPR IS PROVIDED “AS IS” “WITH ALL FAULTS”. GRIPTAPE DOES NOT WARRANT THAT THE GRIPTAPE IPR WILL OPERATE WITHOUT ERROR OR INTERRUPTION. GRIPTAPE SPECIFICALLY DISCLAIMS ALL REPRESENTATIONS AND WARRANTIES, EXPRESS OR IMPLIED, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY, NONINFRINGEMENT, TITLE, QUALITY, ACCURACY, AND FITNESS FOR A PARTICULAR PURPOSE. NO ADVICE OR INFORMATION, WHETHER ORAL OR WRITTEN, OBTAINED BY EVALUATOR FROM THE GRIPTAPE IPR OR FROM GRIPTAPE OR ANY MATERIALS OR CONTENT AVAILABLE THROUGH THE GRIPTAPE IPR WILL CREATE ANY WARRANTY REGARDING GRIPTAPE, THE GRIPTAPE FRAMEWORK, OR THE GRIPTAPE IPR THAT IS NOT EXPRESSLY STATED IN THESE TERMS. GRIPTAPE IS NOT RESPONSIBLE FOR ANY DAMAGE THAT MAY RESULT FROM ACCESS TO OR USE OF THE GRIPTAPE IPR. EVALUATOR UNDERSTANDS AND AGREES THAT USE OF ANY PORTION OF THE GRIPTAPE IPR IS AT EVALUATOR’S OWN DISCRETION AND RISK, AND THAT GRIPTAPE IS NOT RESPONSIBLE FOR ANY DAMAGE TO PROPERTY (INCLUDING YOUR COMPUTER SYSTEM OR MOBILE DEVICE USED IN CONNECTION WITH THE GRIPTAPE IPR) OR ANY LOSS OF DATA, INCLUDING EVALUATOR DATA AND EVALUATOR APPLICATIONS. - -__12. WARRANTIES BY EVALUATOR.__ - -Evaluator represents and warrants to Griptape that: (a) if Evaluator is an entity, it is (i) a corporation, limited liability Griptape, or other business entity duly organized, validly existing, and in good standing in the jurisdiction of its incorporation, organization, or formation, and (ii) duly qualified to do business and is in good standing in every jurisdiction in which such qualification is required; (b) it has the full right, power and authority (i) to enter into this Agreement, (ii) to grant the rights and licenses granted under this Agreement, (iii) to perform its obligations under this Agreement, and (iv) to upload, submit, publish, or otherwise transmit Evaluator’s Evaluator Data; (c) the execution of this Agreement by Evaluator has been duly authorized by all necessary action of Evaluator; (d) Evaluator’s Evaluator Data (including Evaluator Applications) will not infringe, misappropriate, or otherwise violate any intellectual property rights or proprietary rights of any third party; (e) this Agreement will constitute the legal, valid, and binding obligation of Evaluator, enforceable against Evaluator in accordance with its terms; and (f) Evaluator Applications will not subject any portion of the Griptape IPR or any Griptape intellectual property right in any portion of the Griptape IPR to the terms of any “open source” license, including a license that requires, as a condition of use, modification, or distribution of technology subject to such license, that such technology or other technology combined or distributed with such technology (i) be disclosed or distributed in source code form, (ii) be licensed for the purpose of making derivative works, or (iii) be re distributable at no charge. - -__13. LIMITATION OF LIABILITY.__ - -THE TOTAL LIABILITY OF GRIPTAPE ARISING OUT OF OR RELATED TO THIS AGREEMENT WILL NOT EXCEED $100. IN NO EVENT WILL GRIPTAPE HAVE LIABILITY FOR ANY INDIRECT, INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES, EVEN IF ADVISED OF THE POSSIBILITY OF THESE DAMAGES. THESE LIMITATIONS WILL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY LIMITED REMEDY IN THIS AGREEMENT. - -__14. INDEMNIFICATION.__ - -Evaluator will indemnify, defend and hold harmless Griptape, its affiliates and their respective directors, officers, employers, agents, successors and assigns (collectively, the “__Indemnified Parties__”) from and against any and all claims, demands, or actions made by a third party (“__Claims__”), and all liabilities, settlements, costs, damages and fees (including reasonable attorneys’ fees and costs) incurred or suffered by the Indemnified Parties from Claims arising from or in connection with: (a) Evaluator’s Evaluator Data (including any Evaluator Applications); (b) any breach of this Agreement by Evaluator; (c) Evaluator’s relationship with any provider of a Third Party Product, including any LLM Provider; (d) a violation of applicable law; or (e) the gross negligence or willful misconduct of Evaluator or of any third party acting on Evaluator’s behalf. - -__15. MODIFICATIONS.__ - -Griptape reserves the right to update, change or otherwise modify this Agreement on a going-forward basis at any time and in our sole discretion. If we update this Agreement, we will provide notice of such updates, such as by sending an email notification, providing notice through the Griptape IPR, or updating the “Last Updated” date at the beginning of this Agreement. Updates will be effective on the date Griptape takes any of the actions set forth in the immediately foregoing sentence, unless otherwise stated. Griptape may also, in its sole discretion, require that Evaluator accept any updated Agreement in order to continue (a) to access or use the Griptape IPR, (b) to participate in the Private Preview, or (c) to make available Evaluator’s Evaluator Data through the Griptape IPR and/or for the duration of the Private Preview. By continuing to participate in the Private Preview or by accessing or using the Griptape IPR after Griptape’s posting of an updated Agreement, Evaluator agrees to accept and be bound by the updated Agreement, including all of the terms incorporated therein by reference. To the extent Evaluator does not agree to the updated Agreement, then Evaluator must discontinue its use of the Griptape IPR and its participation in the Private Preview. Except as expressly permitted in this Section 15, this Agreement may be amended only by a written agreement signed by authorized representatives of the parties to this Agreement. - -__16. MISCELLANEOUS.__ -This Agreement will be governed by the laws of the State of Washington without reference to conflict of law principles. All disputes arising out of or related to the Agreement, will be subject to the exclusive jurisdiction of the state and federal courts located in King County, Washington and the parties agree and submit to the personal and exclusive jurisdiction and venue of these courts. Evaluator will not assign this Agreement, directly or indirectly, by operation of law or otherwise, without the prior written consent of Griptape, except that Griptape shall have the right to assign this Agreement to any successor to its business or assets to which this Agreement relates, whether by merger, sale of assets, sale of stock, reorganization or otherwise. This Agreement is the entire agreement between the parties relating to the subject matter hereof. No waiver of this Agreement will be valid unless in writing signed by each party. The terms of any other document provided by Evaluator to Griptape that conflicts with, or in any way purports to amend, any of the terms of this Agreement are hereby specifically objected to and will be of no force or effect. The Griptape IPR is intended for visitors located within the United States. Griptape makes no representation that the Griptape IPR is appropriate or available for use outside of the United States. Access to the Griptape IPR from countries or territories or by individuals where such access is illegal is prohibited. Evaluator acknowledges that the Griptape IPR may contain features subject to United States and local country laws governing import, export, distribution and use. Evaluator is responsible for its compliance with United States and local country laws and regulations and shall not export, use or transmit the Griptape IPR (a) in violation of any export control laws of the United States or any other country, or (b) to anyone on the United States Treasury Department’s list of Specially Designated Nationals or the U.S. Commerce Department’s Table of Deny Order. +**GRIPTAPE CLOUD TERMS OF SERVICE** + +**LAST UPDATED: FEBRUARY 14, 2024** + +**BY CLICKING "I ACCEPT,"** ACCESSING OUR USING GRIPTAPE INC'S +("GRIPTAPE"OR "WE" SERVICE**), YOU ("CUSTOMER" OR "YOU") AGREE THAT YOU +HAVE READ AND UNDERSTOOD, AND, AS A CONDITION TO ITS ACCESS TO OR USE OF +THE SERVICE, YOU AGREE TO BE BOUND BY, THE FOLLOWING TERMS, INCLUDING +GRIPTAPE'S PRIVACY POLICY (TOGETHER, THIS "**AGREEMENT**"). IF YOU DO NOT +AGREE TO THE TERMS AND CONDITIONS SET FORTH HEREIN, THEN YOU DO NOT HAVE +GRIPTAPE'S PERMISSION TO ACCESS OR USE THE SERVICE. YOUR USE OF THE +SERVICE, AND GRIPTAPE'S MAKING AVAILABLE THE SERVICE TO YOU, CONSTITUTES +AN AGREEMENT BY GRIPTAPE AND BY YOU TO BE BOUND BY THIS AGREEMENT. THE +EFFECTIVE DATE OF THIS AGREEMENT IS THE DATE THAT YOU ACCEPT OR AGREE TO +THIS AGREEMENT BY CLICKING "I ACCEPT,"OR BY ACCESSING OR USING THE +SERVICE ("**EFFECTIVE DATE**"). If Customer is an entity, organization, +or Griptape, then: (i) the individual accepting this Agreement on +Customer's behalf represents and warrants that they have authority to +bind Customer to this Agreement; (ii) Customer agrees to be bound by +this Agreement; and (iii) the term \"**Customer**\" shall refer to such +entity. + +1. **USE OF THE SERVICE.** Griptape offers an online, + software-as-a-service platform, where Griptape hosts software + applications ("**Applications**") and enables Customers to deploy, + run, and manage their Applications on the platform ("**Griptape**" + "**Griptape Cloud**" or "**Service**"). Applications may include + those written using the Griptape framework, which is comprised of + open source software development tools for interfacing with + artificial intelligence (AI) systems such as large language models + (LLMs) and executing other business logic. The Griptape framework is + available at https://github.com/griptape-ai/griptape and is licensed + for use by Customer under an open source license + ("**Griptape Framework**"). As part of the Service, Griptape may + make its API (as defined below) and SDK (as defined below) available + to Customer. The Service, API, and SDK are collectively referred to + herein as the "**Griptape IPR**"and any references to the Griptape + IPR includes all components and portions thereof. Subject the terms + and conditions of this Agreement, Griptape will provide Customer + with access the Service using access credentials provided by + Griptape to permit Customer to access and use the Service. Customer + will provide, at its own expense, all equipment and third-party + products and/or services necessary to evaluate the Service. Customer + must use the Service in compliance with all applicable laws and + regulations and related documentation, including, any limitations on + the number of users or applications and any limits on memory, + storage, and data associated with Customer's use of the Service. + +2. **FEES.** Griptape reserves the right to determine pricing for the + Service and to charge fees for the Service (or any component, + feature, or functionality thereof). Griptape will provide Customer + advance written notice of any such fees before they go into effect + or become chargeable. Prior to any payment of fees, Customer will + have an opportunity to review and accept any fees that will be + charged to Customer. All fees are non-refundable. + +3. **AGREEMENT DURATION.** This Agreement will begin on the Effective + Date and continue in effect until the date Griptape terminates + availability of the Service, unless earlier terminated in accordance + with this Agreement ("**Agreement Duration**"). Either party may + terminate this Agreement for convenience at any time upon written + notice to the other party. Griptape may suspend Customer's access to + the Services at any time. Upon the expiration or termination of this + Agreement, Customer will discontinue all use of the Service. + Sections 7.3 (Analytics), 7.4 (Feedback), 8 (Confidentiality; Data), + 11 (Warranty Disclaimer), 12 (Warranties by Customer), 14 + (Indemnification), and 16 (Miscellaneous) will all survive + termination of this Agreement. + +4. **USE OF THE API.** Subject to the Customer's compliance with the + Agreement, Griptape will make Griptape's application programming + interface and documentation (collectively "**API**") available to + Customer, which will enable users to operate applications that + interact with AI systems such as LLMs, and grants Customer a + non-exclusive, non-transferable, non-sublicensable right and license + under Griptape's intellectual property rights in the API to use the + API for the sole purpose of enabling Applications to communicate + with the Service and Third Party Products (as defined below). + Customer agrees to comply with any published API documentation and + any other information or policies that Griptape makes available from + time to time regarding use of the API. In addition to any + restrictions or limitations set forth herein, Customer will not: (a) + use the API in a manner that, in Griptape's discretion, exceeds + specified call/query volumes, constitutes abusive or excessive use, + or otherwise fails to comply with or is inconsistent with this + Agreement; or (b) make any representations or warranties about the + API to any third party. + +5. **USE OF THE SDK.** Subject to Customer's compliance with this + Agreement, Griptape will make available Griptape's software + development kit consisting of sample code, documentation and the + Griptape API ("**SDK**") and grants to Customer a non-exclusive, + non-transferable, non-sublicensable right and license under + Griptape's intellectual property rights in the SDK to: (a) use the + SDK solely to enable Customer Applications in connection with the + Service; and (b) modify any sample code included within the SDK in + accordance with the documentation included with the SDK and subject + to any restrictions and limitations specified in such documentation. + +6. **RESTRICTIONS; USAGE.** Customer shall not: (a) modify, + disassemble, create derivative works of, translate, decompile, + reverse engineer, rent, lease, loan, transfer, or copy any portion + of the Griptape IPR; (b) input, upload, transmit, or otherwise + provide to or through the Griptape IPR any information or materials + (including Customer Data) that are unlawful or injurious, or + contain, transmit, or activate any virus, worm, Trojan horse, + malware, or other malicious computer code; (c) circumvent, disable, + or otherwise interfere with the Griptape IPR's operation, security, + or other technical features or measures of the Griptape IPR; (d) use + the Griptape IPR to develop a similar or competing product or + service; (e) perform or conduct any benchmarking or similar + activities (including publishing benchmarks or performance + information about the Griptape IPR); (f) transmit or upload any + viruses, Trojan Horses, backdoors, malware, or any other forms of + harmful or malicious materials to or through the Griptape IPR; + or (g) permit any third party to do any of the foregoing. Customer + shall use the Griptape IPR in compliance with all applicable laws + and regulations, any documentation regarding use of the Griptape IPR + as well as the terms of Griptape's Acceptable Use Policy (available + at https://docs.griptape.ai/griptape-cloud/acceptable-use) which is + incorporated herein by reference. Customer must not circumvent or + disable any security or other technological features of the Griptape + IPR. Customer agrees to comply with all access and/or usage + limitations that Griptape may make available from time to time. + Griptape may impose limitations on Customer's use of the Griptape + IPR, including limits on: (i) the number and rate of API requests + Customer may make to the Griptape IPR; (ii) the compute usage and + storage capacities used by Customer in connection with the Griptape + IPR, (iii) the number of Applications accessible to the + Customer; (iv) the quantity of data generated by Applications; + and (v) any other usage metrics that may be established by Griptape + from time to time. + +7. **INTELLECTUAL PROPERTY.** + + 1. **Ownership.** As between the parties, Griptape owns all right, + title, and interest, including all intellectual property rights, + in and to the Griptape IPR, including any improvements, + modifications, and enhancements to them. Except for those rights + expressly granted in this Agreement, no other rights to the + Griptape IPR are granted, either express or implied, to + Customer. + + 2. **Customer Data.** Customer hereby grants to Griptape a + royalty-free, fully paid up, non-exclusive, and worldwide + license (with the right to sublicense through multiple tiers), + during the Agreement Duration, to use, host, copy, store, + transmit, publicly display, modify, and create derivative works + of, the Customer Data (as defined below) solely for purposes + of: (a) providing the Griptape IPR; (b) developing, creating, + and/or generating the Analytics; and (c) improving, providing, + and enhancing the Griptape IPR. Customer owns and retains + all right, title, and interest, including all related + intellectual property and proprietary rights, in and to the + Customer Data. As part of the Griptape IPR, Griptape will, + during the Agreement Duration, host Customer Data in Griptape's + cloud environment solely for purposes of providing the Griptape + IPR. Customer is solely responsible for its Customer Data + (including its content and accuracy, and for backing up Customer + Data). For purposes of this Agreement, "**Customer Data**" means + any data, content, Customer Applications, software code, or + information that is uploaded, transmitted, submitted, provided, + or made available by Customer to Griptape in connection with + Customer's access to or use of the Griptape IPR. + + 3. **Analytics.** Griptape may collect, generate, and derive + Analytics for Griptape's lawful business purposes, including + to: (a) use it to monitor, operate, improve, and support the + Griptape IPR and its performance, security, and stability; (b) + create analytics, benchmarking, and performance data and + reports; (c) track usage for billing purposes; and (d) develop + new products and services. As between the parties, Griptape owns + and retains all right, title, and interest, including all + related intellectual property and proprietary rights, in and to + the Analytics (including any improvements, modifications, and + enhancements thereto), the know-how and analytical results + generated in the processing and use of Analytics, and any and + all new products, services, and developments, modifications, + customizations, or improvements to the Griptape IPR made based + on the Analytics. Customer will not interfere with the + collection of Analytics. Griptape will not disclose Analytics + externally, including in benchmarks or reports, unless such + Analytics has been (a) de-identified so that it does not + individually identify Customer or its users, or (b) aggregated + with analytics from other Griptape customers. For purposes of + this Agreement, "**Analytics**" means the data and information + generated or collected by the features and functionalities of + the Griptape IPR which are designed to generate statistics and + models, to improve the Griptape IPR and to collect and analyze + other information and data based on Customer's use of the + Griptape IPR. + + 4. **Feedback.** If Customer provides Griptape with + recommendations, suggestions, or other feedback relating to the + Griptape IPR or any other Griptape products or services + ("**Feedback**"), Customer hereby grants Griptape an + unrestricted, perpetual, irrevocable, non-exclusive, fully-paid, + royalty-free right and license to freely use, disclose, + reproduce, license, distribute, and otherwise exploit the + Feedback in any manner and for any purpose, including to improve + the Service and to commercialize the Feedback in any Griptape + product, technology, service, specification, or other + documentation. Griptape will have no obligation to provide + Customer with attribution or compensation for any Feedback + provided to Griptape. + +8. **CONFIDENTIALITY; DATA.** Customer will maintain the + confidentiality of and not disclose to any third party: (a) the + terms of this Agreement, (b) all non-public information disclosed or + otherwise made available by Griptape to Customer under this + Agreement or through the Griptape IPR, and (c) all Feedback, all + Griptape performance data, and all other information obtained + through evaluation of the Griptape IPR. Griptape will protect the + Customer Data using commercially reasonable administrative, + technical, and physical safeguards designed to protect against + illegal or unauthorized access or disclosure of such data. Please + read the Griptape's Privacy Policy (available at + https://www.griptape.ai/privacy-policy) carefully for information + relating to Griptape's collection, use, storage, and disclosure of + Customer's personal information. + +9. **THIRD PARTY PRODUCTS.** For purposes of this Agreement, "**Third + Party Products**" means certain third-party applications, systems, + software, products, or services, including services provided by + large language model providers ("**LLM Providers**") that + interoperate with the Service and may be used by Customer. If + Customer elects to enable, access, or use such Third Party Products, + its access and use of such Third Party Products is governed solely + by the terms and conditions and privacy policies of the provider of + such Third Party Products, and Griptape does not endorse, is not + responsible or liable for, and makes no representations or + warranties as to any aspect of such Third Party Products, including + their content, the manner in which they handle Customer's data + (including Customer Data and Customer Applications), or any + interaction between Customer and the provider of such Third Party + Products. If Customer uses the Griptape IPR to connect to LLM + Providers, Customer acknowledges and agrees that Griptape is not + responsible for any output, content, or other materials generated or + produced by such LLM Providers. If Customer's access to a particular + Third Party Product is terminated or suspended, Customer will not be + able to use the Griptape IPR to access and use the Third Party + Product including submit queries to or receive outputs from an LLM + Provider. Customer is solely responsible for ensuring that it + complies with the terms and conditions of each Third Party Product. + Griptape reserves the right to impose limits on Customer's use of + components of the Griptape IPR that interface with Third Party + Products including by imposing consumption or usage limits, as + described in the Acceptable Use Policy (available at + https://docs.griptape.ai/griptape-cloud/acceptable-use). Griptape is + not liable for any damage or loss caused or alleged to be caused by + or in connection with Customer's enablement, access, or use of any + such Third Party Products, or Customer's reliance on the privacy + practices, data security processes, or other policies relating to or + used in connection with the Third Party Products. The providers of + Third Party Products shall not be deemed sub-processors of personal + information for any purpose. + +10. **SUPPORT.** Griptape will make commercially reasonable efforts to + provide support to Customer in connection with its use of the + Griptape IPR. Please contact Griptape at hello@griptape.ai if you + experience any issue with respect to the Griptape IPR. Except as + expressly stated in this Agreement, Griptape is under no obligation + to support or maintain the Griptape IPR or to provide any updates, + upgrades, or other technical support to Customer with respect to the + Griptape IPR or Customer's Customer Data. + +11. **WARRANTY DISCLAIMER.** THE GRIPTAPE IPR IS PROVIDED "AS IS""WITH + ALL FAULTS" GRIPTAPE DOES NOT WARRANT THAT THE GRIPTAPE IPR WILL + OPERATE WITHOUT ERROR OR INTERRUPTION. GRIPTAPE SPECIFICALLY + DISCLAIMS ALL REPRESENTATIONS AND WARRANTIES, EXPRESS OR IMPLIED, + INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY, + NONINFRINGEMENT, TITLE, QUALITY, ACCURACY, AND FITNESS FOR A + PARTICULAR PURPOSE. NO ADVICE OR INFORMATION, WHETHER ORAL OR + WRITTEN, OBTAINED BY CUSTOMER FROM THE GRIPTAPE IPR OR FROM GRIPTAPE + OR ANY MATERIALS OR CONTENT AVAILABLE THROUGH THE GRIPTAPE IPR WILL + CREATE ANY WARRANTY REGARDING GRIPTAPE, THE GRIPTAPE FRAMEWORK, OR + THE GRIPTAPE IPR THAT IS NOT EXPRESSLY STATED IN THESE TERMS. + GRIPTAPE IS NOT RESPONSIBLE FOR ANY DAMAGE THAT MAY RESULT FROM + ACCESS TO OR USE OF THE GRIPTAPE IPR. CUSTOMER UNDERSTANDS AND + AGREES THAT USE OF ANY PORTION OF THE GRIPTAPE IPR IS AT CUSTOMER'S + OWN DISCRETION AND RISK, AND THAT GRIPTAPE IS NOT RESPONSIBLE FOR + ANY DAMAGE TO PROPERTY (INCLUDING YOUR COMPUTER SYSTEM OR MOBILE + DEVICE USED IN CONNECTION WITH THE GRIPTAPE IPR) OR ANY LOSS OF + DATA, INCLUDING CUSTOMER DATA AND CUSTOMER APPLICATIONS. + +12. **WARRANTIES BY CUSTOMER**. Customer represents and warrants to + Griptape that: (a) if Customer is an entity, it is (i) a + corporation, limited liability Griptape, or other business entity + duly organized, validly existing, and in good standing in the + jurisdiction of its incorporation, organization, or formation, + and (ii) duly qualified to do business and is in good standing in + every jurisdiction in which such qualification is required; (b) it + has the full right, power and authority (i) to enter into this + Agreement, (ii) to grant the rights and licenses granted under this + Agreement, (iii) to perform its obligations under this Agreement, + and (iv) to upload, submit, publish, or otherwise transmit + Customer's Customer Data; (c) the execution of this Agreement by + Customer has been duly authorized by all necessary action of + Customer; (d) Customer's Customer Data (including Customer + Applications) will not infringe, misappropriate, or otherwise + violate any intellectual property rights or proprietary rights of + any third party; (e) this Agreement will constitute the legal, + valid, and binding obligation of Customer, enforceable against + Customer in accordance with its terms; and (f) Customer Applications + will not subject any portion of the Griptape IPR or any Griptape + intellectual property right in any portion of the Griptape IPR to + the terms of any "open source"license, including a license that + requires, as a condition of use, modification, or distribution of + technology subject to such license, that such technology or other + technology combined or distributed with such technology (i) be + disclosed or distributed in source code form, (ii) be licensed for + the purpose of making derivative works, or (iii) be re distributable + at no charge. + +13. **LIMITATION OF LIABILITY.** THE TOTAL LIABILITY OF GRIPTAPE ARISING + OUT OF OR RELATED TO THIS AGREEMENT WILL NOT EXCEED $100. IN NO + EVENT WILL GRIPTAPE HAVE LIABILITY FOR ANY INDIRECT, INCIDENTAL, + SPECIAL, OR CONSEQUENTIAL DAMAGES, EVEN IF ADVISED OF THE + POSSIBILITY OF THESE DAMAGES. THESE LIMITATIONS WILL APPLY + NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY LIMITED + REMEDY IN THIS AGREEMENT. + +14. **INDEMNIFICATION**. Customer will indemnify, defend and hold + harmless Griptape, its affiliates and their respective directors, + officers, employers, agents, successors and assigns (collectively, + the "**Indemnified Parties**") from and against any and all claims, + demands, or actions made by a third party ("**Claims**"), and all + liabilities, settlements, costs, damages and fees (including + reasonable attorneys'fees and costs) incurred or suffered by the + Indemnified Parties from Claims arising from or in connection + with: (a) Customer's Customer Data (including any Customer + Applications); (b) any breach of this Agreement by Customer; (c) + Customer's relationship with any provider of a Third Party Product, + including any LLM Provider; (d) a violation of applicable law; + or (e) the gross negligence or willful misconduct of Customer or of + any third party acting on Customer's behalf. + +15. **MODIFICATIONS**. Griptape reserves the right to update, change or + otherwise modify this Agreement on a going-forward basis at any time + and in our sole discretion. If we update this Agreement, we will + provide notice of such updates, such as by sending an email + notification, providing notice through the Griptape IPR, or updating + the "Last Updated"date at the beginning of this Agreement. Updates + will be effective on the date Griptape takes any of the actions set + forth in the immediately foregoing sentence, unless otherwise + stated. Griptape may also, in its sole discretion, require that + Customer accept any updated Agreement in order to continue (a) to + access or use the Griptape IPR, (b) to access or use the Service, + or (c) to make available Customer's Customer Data through the + Griptape IPR. By continuing to access or use the Griptape Service + and/or IPR after Griptape's posting of an updated Agreement, + Customer agrees to accept and be bound by the updated Agreement, + including all of the terms incorporated therein by reference. To the + extent Customer does not agree to the updated Agreement, then + Customer must discontinue its use of the Griptape IPR and the + Service. Except as expressly permitted in this Section 15, this + Agreement may be amended only by a written agreement signed by + authorized representatives of the parties to this Agreement. + +16. **MISCELLANEOUS.** This Agreement will be governed by the laws of + the State of Washington without reference to conflict of law + principles. All disputes arising out of or related to the Agreement, + will be subject to the exclusive jurisdiction of the state and + federal courts located in King County, Washington and the parties + agree and submit to the personal and exclusive jurisdiction and + venue of these courts. Customer will not assign this Agreement, + directly or indirectly, by operation of law or otherwise, without + the prior written consent of Griptape, except that Griptape shall + have the right to assign this Agreement to any successor to its + business or assets to which this Agreement relates, whether by + merger, sale of assets, sale of stock, reorganization or otherwise. + This Agreement is the entire agreement between the parties relating + to the subject matter hereof. No waiver of this Agreement will be + valid unless in writing signed by each party. The terms of any other + document provided by Customer to Griptape that conflicts with, or in + any way purports to amend, any of the terms of this Agreement are + hereby specifically objected to and will be of no force or effect. + The Griptape IPR is intended for visitors located within the United + States. Griptape makes no representation that the Griptape IPR is + appropriate or available for use outside of the United States. + Access to the Griptape IPR from countries or territories or by + individuals where such access is illegal is prohibited. Customer + acknowledges that the Griptape IPR may contain features subject to + United States and local country laws governing import, export, + distribution and use. Customer is responsible for its compliance + with United States and local country laws and regulations and shall + not export, use or transmit the Griptape IPR (a) in violation of any + export control laws of the United States or any other country, + or (b) to anyone on the United States Treasury Department's list of + Specially Designated Nationals or the U.S. Commerce Department's + Table of Deny Order. diff --git a/docs/griptape-framework/data/artifacts.md b/docs/griptape-framework/data/artifacts.md index 5a0621ce..b12dc97d 100644 --- a/docs/griptape-framework/data/artifacts.md +++ b/docs/griptape-framework/data/artifacts.md @@ -35,4 +35,4 @@ Each blob has a [name](../../reference/griptape/artifacts/base_artifact.md#gript ## ImageArtifact -An [ImageArtifact](../../reference/griptape/artifacts/image_artifact.md) is used for passing images back to the LLM. In addition to binary image data, an ImageArtifact includes image metadata like MIME type, dimensions, and prompt and model information for images returned by [image generation Drivers](../structures/image-generation-drivers.md). It inherits from [BlobArtifact](#blobartifact). +An [ImageArtifact](../../reference/griptape/artifacts/image_artifact.md) is used for passing images back to the LLM. In addition to binary image data, an ImageArtifact includes image metadata like MIME type, dimensions, and prompt and model information for images returned by [image generation Drivers](../drivers/image-generation-drivers.md). It inherits from [BlobArtifact](#blobartifact). diff --git a/docs/griptape-framework/data/index.md b/docs/griptape-framework/data/index.md index 65e6513b..73dfe4c6 100644 --- a/docs/griptape-framework/data/index.md +++ b/docs/griptape-framework/data/index.md @@ -6,7 +6,7 @@ Griptape provides several abstractions for working with data. [Artifacts](./artifacts.md) are used for passing different types of data, such as text, lists, and blobs, between Griptape components. -[Embedding Drivers](./embedding-drivers.md) are used to generate vector embeddings from text. +[Embedding Drivers](../drivers/embedding-drivers.md) are used to generate vector embeddings from text. [Loaders](./loaders.md) are used to load textual data from different sources. @@ -14,8 +14,8 @@ Griptape provides several abstractions for working with data. **Tokenizers** are used to tokenize and detokenize text in order to track LLM token limits. -[Query Engines](./query-engines.md) are used to search text storages. +[Query Engines](../engines/query-engines.md) are used to search text storages. -[Vector Store Drivers](./vector-store-drivers.md) are used to store and query vector databases. +[Vector Store Drivers](../drivers/vector-store-drivers.md) are used to store and query vector databases. -[Prompt Drivers](../structures/prompt-drivers.md) are used to call LLM APIs. +[Prompt Drivers](../drivers/prompt-drivers.md) are used to call LLM APIs. diff --git a/docs/griptape-framework/data/loaders.md b/docs/griptape-framework/data/loaders.md index b41baaec..3f7bcdb5 100644 --- a/docs/griptape-framework/data/loaders.md +++ b/docs/griptape-framework/data/loaders.md @@ -47,20 +47,12 @@ SqlLoader( Can be used to load CSV files into [CsvRowArtifact](../../reference/griptape/artifacts/csv_row_artifact.md)s: ```python -import urllib from griptape.loaders import CsvLoader -urllib.request.urlretrieve("https://people.sc.fsu.edu/~jburkardt/data/csv/cities.csv", "cities.csv") - -CsvLoader().load( - "cities.csv" -) - -urllib.request.urlretrieve("https://people.sc.fsu.edu/~jburkardt/data/csv/addresses.csv", "addresses.csv") +CsvLoader().load("tests/assets/cities.csv") -CsvLoader().load_collection( - ["cities.csv", "addresses.csv"] -) +CsvLoader().load_collection(["tests/assets/cities.csv", "tests/assets/addresses.csv"]) +``` ``` ## Text Loader @@ -107,22 +99,21 @@ WebLoader().load_collection( ## Image Loader -The Image Loader is used to load an image from the filesystem, returning an [ImageArtifact](./artifacts.md#imageartifact). +The Image Loader is used to load an image as an [ImageArtifact](./artifacts.md#imageartifact). The Loader operates on image bytes that can be sourced from files on disk, downloaded images, or images in memory. ```python from griptape.loaders import ImageLoader - -image_artifact = ImageLoader().load("tests/assets/mountain.png") -image_artifacts = ImageLoader().load_collection(paths=["tests/assets/mountain.png", "tests/assets/mountain.jpg"]) +with open("tests/assets/mountain.png", "rb") as f: + disk_image_artifact = ImageLoader().load(f.read()) ``` -By default, the Image Loader will ensure all images are in `png` format. If an image in another format (for example, `jpg`) is loaded, it will be reformatted to `png`. Other formats are supported through the `format` field. +By default, the Image Loader will load images in their native format, but not all models work on all formats. To normalize the format of Artifacts returned by the Loader, set the `format` field. ```python from griptape.loaders import ImageLoader - -# Image data in artifact will be in JPG format. -image_artifact_jpg = ImageLoader(format="JPEG").load("tests/assets/mountain.png") +# Image data in artifact will be in BMP format. +with open("tests/assets/mountain.png", "rb") as f: + image_artifact_jpeg = ImageLoader(format="bmp").load(f.read()) ``` diff --git a/docs/griptape-framework/data/embedding-drivers.md b/docs/griptape-framework/drivers/embedding-drivers.md similarity index 90% rename from docs/griptape-framework/data/embedding-drivers.md rename to docs/griptape-framework/drivers/embedding-drivers.md index 0bc5231e..fea88b85 100644 --- a/docs/griptape-framework/data/embedding-drivers.md +++ b/docs/griptape-framework/drivers/embedding-drivers.md @@ -6,7 +6,7 @@ Griptape provides a way to build Embedding Drivers that are reused in downstream * [embed_text_artifact()](../../reference/griptape/drivers/embedding/base_embedding_driver.md#griptape.drivers.embedding.base_embedding_driver.BaseEmbeddingDriver.embed_text_artifact) for [TextArtifact](../../reference/griptape/artifacts/text_artifact.md)s. * [embed_string()](../../reference/griptape/drivers/embedding/base_embedding_driver.md#griptape.drivers.embedding.base_embedding_driver.BaseEmbeddingDriver.embed_string) for any string. -You can optionally provide a [Tokenizer](../structures/tokenizers.md) via the [tokenizer](../../reference/griptape/drivers/embedding/base_embedding_driver.md#griptape.drivers.embedding.base_embedding_driver.BaseEmbeddingDriver.tokenizer) field to have the Driver automatically chunk the input text to fit into the token limit. +You can optionally provide a [Tokenizer](../misc/tokenizers.md) via the [tokenizer](../../reference/griptape/drivers/embedding/base_embedding_driver.md#griptape.drivers.embedding.base_embedding_driver.BaseEmbeddingDriver.tokenizer) field to have the Driver automatically chunk the input text to fit into the token limit. ## Embedding Drivers @@ -94,7 +94,7 @@ The [AmazonSageMakerEmbeddingDriver](../../reference/griptape/drivers/embedding/ This driver requires the `drivers-embedding-amazon-sagemaker` [extra](../index.md#extras). ##### TensorFlow Hub Models -```python +```python title="PYTEST_IGNORE" import os from griptape.drivers import AmazonSageMakerEmbeddingDriver, SageMakerTensorFlowHubEmbeddingModelDriver @@ -110,7 +110,7 @@ print(embeddings[:3]) ``` ##### HuggingFace Models -```python +```python title="PYTEST_IGNORE" import os from griptape.drivers import AmazonSageMakerEmbeddingDriver, SageMakerHuggingFaceEmbeddingModelDriver @@ -126,16 +126,21 @@ print(embeddings[:3]) ``` ### Override Default Structure Embedding Driver -Here is how you can override the Embedding Driver that is used by default in agents. +Here is how you can override the Embedding Driver that is used by default in Structures. ```python from griptape.structures import Agent from griptape.tools import WebScraper, TaskMemoryClient from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.config import StructureConfig, OpenAiStructureConfig agent = Agent( tools=[WebScraper(), TaskMemoryClient(off_prompt=False)], - embedding_driver=OpenAiEmbeddingDriver() + config=OpenAiStructureConfig( + global_drivers=StructureGlobalDriversConfig( + embedding_driver=OpenAiEmbeddingDriver() + ) + ) ) agent.run("based on https://www.griptape.ai/, tell me what Griptape is") diff --git a/docs/griptape-framework/structures/image-generation-drivers.md b/docs/griptape-framework/drivers/image-generation-drivers.md similarity index 85% rename from docs/griptape-framework/structures/image-generation-drivers.md rename to docs/griptape-framework/drivers/image-generation-drivers.md index 972b5306..f0bb17f5 100644 --- a/docs/griptape-framework/structures/image-generation-drivers.md +++ b/docs/griptape-framework/drivers/image-generation-drivers.md @@ -1,8 +1,8 @@ ## Overview -[Image Generation Drivers](../../reference/griptape/drivers/image_generation/index.md) are used by [image generation Engines](../data/image-generation-engines.md) to build and execute API calls to image generation models. +[Image Generation Drivers](../../reference/griptape/drivers/image_generation/index.md) are used by [image generation Engines](../engines/image-generation-engines.md) to build and execute API calls to image generation models. -Provide a Driver when building an [Engine](../data/image-generation-engines.md), then pass it to a [Tool](../tools/index.md) for use by an [Agent](../structures/agents.md): +Provide a Driver when building an [Engine](../engines/image-generation-engines.md), then pass it to a [Tool](../tools/index.md) for use by an [Agent](../structures/agents.md): ```python from griptape.structures import Agent @@ -31,7 +31,7 @@ The [Amazon Bedrock Image Generation Driver](../../reference/griptape/drivers/im The [Bedrock Stable Diffusion Model Driver](../../reference/griptape/drivers/image_generation_model/bedrock_stable_diffusion_image_generation_model_driver.md) provides support for Stable Diffusion models hosted by Amazon Bedrock. This Model Driver supports configurations specific to Stable Diffusion, like style presets, clip guidance presets, and sampler. -This Model Driver supports negative prompts. When provided (for example, when used with an [image generation Engine](../data/image-generation-engines.md) configured with [Negative Rulesets](../data/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. +This Model Driver supports negative prompts. When provided (for example, when used with an [image generation Engine](../engines/image-generation-engines.md) configured with [Negative Rulesets](../engines/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. ```python from griptape.structures import Agent @@ -62,7 +62,7 @@ agent.run("Generate an image of a dog riding a skateboard") The [Bedrock Titan Image Generator Model Driver](../../reference/griptape/drivers/image_generation_model/bedrock_titan_image_generation_model_driver.md) provides support for Titan Image Generator models hosted by Amazon Bedrock. This Model Driver supports configurations specific to Titan Image Generator, like quality, seed, and cfg_scale. -This Model Driver supports negative prompts. When provided (for example, when used with an [image generation engine](../data/image-generation-engines.md) configured with [Negative Rulesets](../data/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. +This Model Driver supports negative prompts. When provided (for example, when used with an [image generation engine](../engines/image-generation-engines.md) configured with [Negative Rulesets](../engines/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. ```python from griptape.structures import Agent @@ -121,7 +121,7 @@ The [Leonardo Image Generation Driver](../../reference/griptape/drivers/image_ge This Driver supports configurations like model selection, image size, specifying a generation seed, and generation steps. For details on supported configuration parameters, see [Leonardo.Ai's image generation documentation](https://docs.leonardo.ai/reference/creategeneration). -This Driver supports negative prompts. When provided (for example, when used with an [image generation engine](../data/image-generation-engines.md) configured with [Negative Rulesets](../data/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. +This Driver supports negative prompts. When provided (for example, when used with an [image generation engine](../engines/image-generation-engines.md) configured with [Negative Rulesets](../engines/image-generation-engines.md#image-generation-engine-rulesets)), the image generation request will include negatively-weighted prompts describing features or characteristics to avoid in the resulting generation. ```python import os diff --git a/docs/griptape-framework/drivers/image-query-drivers.md b/docs/griptape-framework/drivers/image-query-drivers.md new file mode 100644 index 00000000..55d85fb5 --- /dev/null +++ b/docs/griptape-framework/drivers/image-query-drivers.md @@ -0,0 +1,30 @@ +# Image Query Drivers + +Image Query Drivers are used by [Image Query Engines](../engines/image-query-engines.md) to execute natural language queries on the contents of images. You can specify the provider and model used to query the image by providing the Engine with a particular Image Query Driver. + +## OpenAiVisionImageQueryDriver + +!!! info + This Driver defaults to using the `gpt-4-vision-preview` model. As other multimodal models are released, they can be specified using the `model` field. While the `max_tokens` field is optional, it is recommended to set this to a value that corresponds to the desired response length. Without an explicit value, the model will default to very short responses. See [OpenAI's documentation](https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them) for more information on how to relate token count to response length. + +The [OpenAiVisionImageQueryDriver](../../reference/griptape/drivers/image_query/openai_vision_image_query_driver.md) is used to query images using the OpenAI Vision API. Here is an example of how to use it: + +```python +from griptape.drivers import OpenAiVisionImageQueryDriver +from griptape.engines import ImageQueryEngine +from griptape.loaders import ImageLoader + +driver = OpenAiVisionImageQueryDriver( + model="gpt-4-vision-preview", + max_tokens=200, +) + +engine = ImageQueryEngine( + image_query_driver=driver, +) + +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +engine.run("Describe the weather in the image", [image_artifact]) +``` diff --git a/docs/griptape-framework/structures/prompt-drivers.md b/docs/griptape-framework/drivers/prompt-drivers.md similarity index 69% rename from docs/griptape-framework/structures/prompt-drivers.md rename to docs/griptape-framework/drivers/prompt-drivers.md index cc00d3a0..aaa131c2 100644 --- a/docs/griptape-framework/structures/prompt-drivers.md +++ b/docs/griptape-framework/drivers/prompt-drivers.md @@ -8,9 +8,14 @@ You can instantiate drivers and pass them to structures: from griptape.structures import Agent from griptape.drivers import OpenAiChatPromptDriver from griptape.rules import Rule +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=OpenAiChatPromptDriver(model="gpt-4", temperature=0.3), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=OpenAiChatPromptDriver(model="gpt-4", temperature=0.3), + ) + ), input_template="You will be provided with a tweet, and your task is to classify its sentiment as positive, neutral, or negative. Tweet: {{ args[0] }}", rules=[ Rule( @@ -65,14 +70,19 @@ import os from griptape.structures import Agent from griptape.drivers import OpenAiChatPromptDriver from griptape.rules import Rule +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=OpenAiChatPromptDriver( - api_key=os.environ["OPENAI_API_KEY"], - temperature=0.1, - model="gpt-3.5-turbo", - response_format="json_object", - seed=42, + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=OpenAiChatPromptDriver( + api_key=os.environ["OPENAI_API_KEY"], + temperature=0.1, + model="gpt-3.5-turbo", + response_format="json_object", + seed=42, + ) + ) ), input_template="You will be provided with a description of a mood, and your task is to generate the CSS code for a color that matches it. Description: {{ args[0] }}", rules=[ @@ -88,26 +98,6 @@ agent.run("Blue sky at dusk.") !!! info `response_format` and `seed` are unique to the OpenAI Chat Prompt Driver and Azure OpenAi Chat Prompt Driver. -### OpenAI Completion - -The [OpenAiCompletionPromptDriver](../../reference/griptape/drivers/prompt/openai_completion_prompt_driver.md) connects to the [OpenAI Completion](https://platform.openai.com/docs/guides/completion) API. - -```python -import os -from griptape.structures import Agent -from griptape.drivers import OpenAiCompletionPromptDriver - -agent = Agent( - prompt_driver=OpenAiCompletionPromptDriver( - api_key=os.environ['OPENAI_API_KEY'], - temperature=.1, - model="text-davinci-003" - ), -) - -agent.run("Output a python function that implements the fibonacci sequence.") -``` - ### Azure OpenAI Chat The [AzureOpenAiChatPromptDriver](../../reference/griptape/drivers/prompt/azure_openai_chat_prompt_driver.md) connects to Azure OpenAI [Chat Completion](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/reference) APIs. @@ -117,13 +107,18 @@ import os from griptape.structures import Agent from griptape.rules import Rule from griptape.drivers import AzureOpenAiChatPromptDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AzureOpenAiChatPromptDriver( - api_key=os.environ["AZURE_OPENAI_API_KEY"], - model="gpt-3.5-turbo-16k", - azure_deployment=os.environ["AZURE_OPENAI_35_TURBO_16k_DEPLOYMENT_ID"], - azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AzureOpenAiChatPromptDriver( + api_key=os.environ["AZURE_OPENAI_API_KEY"], + model="gpt-3.5-turbo-16k", + azure_deployment=os.environ["AZURE_OPENAI_35_TURBO_16k_DEPLOYMENT_ID"], + azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], + ) + ) ), rules=[ Rule( @@ -144,15 +139,20 @@ The [AzureOpenAiCompletionPromptDriver](../../reference/griptape/drivers/prompt/ import os from griptape.structures import Agent from griptape.drivers import AzureOpenAiCompletionPromptDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AzureOpenAiCompletionPromptDriver( - api_key=os.environ["AZURE_OPENAI_API_KEY"], - model="text-davinci-003", - azure_deployment=os.environ["AZURE_OPENAI_DAVINCI_DEPLOYMENT_ID"], - azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], - temperature=1 - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AzureOpenAiCompletionPromptDriver( + api_key=os.environ["AZURE_OPENAI_API_KEY"], + model="text-davinci-003", + azure_deployment=os.environ["AZURE_OPENAI_DAVINCI_DEPLOYMENT_ID"], + azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], + temperature=1 + ) + ) + ) ) agent.run( @@ -176,11 +176,16 @@ The [CoherePromptDriver](../../reference/griptape/drivers/prompt/cohere_prompt_d import os from griptape.structures import Agent from griptape.drivers import CoherePromptDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=CoherePromptDriver( - model="command", - api_key=os.environ['COHERE_API_KEY'], + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=CoherePromptDriver( + model="command", + api_key=os.environ['COHERE_API_KEY'], + ) + ) ) ) @@ -198,11 +203,16 @@ The [AnthropicPromptDriver](../../reference/griptape/drivers/prompt/anthropic_pr import os from griptape.structures import Agent from griptape.drivers import AnthropicPromptDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AnthropicPromptDriver( - model="claude-2", - api_key=os.environ['ANTHROPIC_API_KEY'], + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AnthropicPromptDriver( + model="claude-2", + api_key=os.environ['ANTHROPIC_API_KEY'], + ) + ) ) ) @@ -227,6 +237,7 @@ from griptape.structures import Agent from griptape.drivers import HuggingFaceHubPromptDriver from griptape.rules import Rule, Ruleset from griptape.utils import PromptStack +from griptape.config import StructureConfig, StructureGlobalDriversConfig def prompt_stack_to_string_converter(prompt_stack: PromptStack) -> str: @@ -245,10 +256,14 @@ def prompt_stack_to_string_converter(prompt_stack: PromptStack) -> str: agent = Agent( - prompt_driver=HuggingFaceHubPromptDriver( - model="tiiuae/falcon-7b-instruct", - api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], - prompt_stack_to_string=prompt_stack_to_string_converter, + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=HuggingFaceHubPromptDriver( + model="tiiuae/falcon-7b-instruct", + api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], + prompt_stack_to_string=prompt_stack_to_string_converter, + ) + ) ), rulesets=[ Ruleset( @@ -271,16 +286,21 @@ agent.run("Hello Girafatron, what is your favorite animal?") The [HuggingFaceHubPromptDriver](#hugging-face-hub) also supports [Text Generation Interface](https://huggingface.co/docs/text-generation-inference/basic_tutorials/consuming_tgi#inference-client) for running models locally. To use Text Generation Interface, just set `model` to a TGI endpoint. -```python +```python title="PYTEST_IGNORE" import os from griptape.structures import Agent from griptape.drivers import HuggingFaceHubPromptDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=HuggingFaceHubPromptDriver( - model="http://127.0.0.1:8080", - api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=HuggingFaceHubPromptDriver( + model="http://127.0.0.1:8080", + api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], + ), + ) ), ) @@ -306,6 +326,7 @@ from griptape.structures import Agent from griptape.drivers import HuggingFaceHubPromptDriver from griptape.rules import Rule, Ruleset from griptape.utils import PromptStack +from griptape.config import StructureConfig, StructureGlobalDriversConfig # Override the default Prompt Stack to string converter @@ -326,10 +347,14 @@ def prompt_stack_to_string_converter(prompt_stack: PromptStack) -> str: agent = Agent( - prompt_driver=HuggingFaceHubPromptDriver( - model="tiiuae/falcon-7b-instruct", - api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], - prompt_stack_to_string=prompt_stack_to_string_converter, + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=HuggingFaceHubPromptDriver( + model="tiiuae/falcon-7b-instruct", + api_token=os.environ["HUGGINGFACE_HUB_ACCESS_TOKEN"], + prompt_stack_to_string=prompt_stack_to_string_converter, + ), + ) ), rulesets=[ Ruleset( @@ -363,7 +388,7 @@ The [AmazonSageMakerPromptDriver](../../reference/griptape/drivers/prompt/amazon ##### LLaMA -```python +```python title="PYTEST_IGNORE" import os from griptape.structures import Agent from griptape.drivers import ( @@ -371,12 +396,17 @@ from griptape.drivers import ( SageMakerLlamaPromptModelDriver, ) from griptape.rules import Rule +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonSageMakerPromptDriver( - model=os.environ["SAGEMAKER_LLAMA_ENDPOINT_NAME"], - prompt_model_driver=SageMakerLlamaPromptModelDriver(), - temperature=0.75, + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonSageMakerPromptDriver( + model=os.environ["SAGEMAKER_LLAMA_ENDPOINT_NAME"], + prompt_model_driver=SageMakerLlamaPromptModelDriver(), + temperature=0.75, + ), + ) ), rules=[ Rule( @@ -391,19 +421,24 @@ agent.run("Hello!") ##### Falcon -```python +```python title="PYTEST_IGNORE" import os from griptape.structures import Agent from griptape.drivers import ( AmazonSageMakerPromptDriver, SageMakerFalconPromptModelDriver, ) +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonSageMakerPromptDriver( - model=os.environ["SAGEMAKER_FALCON_ENDPOINT_NAME"], - prompt_model_driver=SageMakerFalconPromptModelDriver(), - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonSageMakerPromptDriver( + model=os.environ["SAGEMAKER_FALCON_ENDPOINT_NAME"], + prompt_model_driver=SageMakerFalconPromptModelDriver(), + ), + ) + ) ) agent.run("What is a good lasagna recipe?") @@ -424,14 +459,19 @@ To use this model with Amazon Bedrock, use the [BedrockTitanPromptModelDriver](. ```python from griptape.structures import Agent from griptape.drivers import AmazonBedrockPromptDriver, BedrockTitanPromptModelDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonBedrockPromptDriver( - model="amazon.titan-text-express-v1", - prompt_model_driver=BedrockTitanPromptModelDriver( - top_p=1, - ), - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonBedrockPromptDriver( + model="amazon.titan-text-express-v1", + prompt_model_driver=BedrockTitanPromptModelDriver( + top_p=1, + ) + ) + ) + ) ) agent.run( "Write an informational article for children about how birds fly." @@ -448,13 +488,18 @@ To use this model with Amazon Bedrock, use the [BedrockClaudePromptModelDriver]( from griptape.structures import Agent from griptape.drivers import AmazonBedrockPromptDriver, BedrockClaudePromptModelDriver from griptape.rules import Rule +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonBedrockPromptDriver( - model="anthropic.claude-v2", - prompt_model_driver=BedrockClaudePromptModelDriver( - top_p=1, - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonBedrockPromptDriver( + model="anthropic.claude-v2", + prompt_model_driver=BedrockClaudePromptModelDriver( + top_p=1, + ), + ), + ) ), rules=[ Rule( @@ -482,12 +527,17 @@ To use this model with Amazon Bedrock, use the [BedrockLlamaPromptModelDriver](. ```python from griptape.structures import Agent from griptape.drivers import AmazonBedrockPromptDriver, BedrockLlamaPromptModelDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonBedrockPromptDriver( - model="meta.llama2-13b-chat-v1", - prompt_model_driver=BedrockLlamaPromptModelDriver(), - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonBedrockPromptDriver( + model="meta.llama2-13b-chat-v1", + prompt_model_driver=BedrockLlamaPromptModelDriver(), + ), + ) + ) ) agent.run( "Write an article about impact of high inflation to GDP of a country" @@ -501,13 +551,18 @@ To use this model with Amazon Bedrock, use the [BedrockJurassicPromptModelDriver ```python from griptape.structures import Agent from griptape.drivers import AmazonBedrockPromptDriver, BedrockJurassicPromptModelDriver +from griptape.config import StructureConfig, StructureGlobalDriversConfig agent = Agent( - prompt_driver=AmazonBedrockPromptDriver( - model="ai21.j2-ultra-v1", - prompt_model_driver=BedrockJurassicPromptModelDriver(top_p=0.95), - temperature=0.7, - ), + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AmazonBedrockPromptDriver( + model="ai21.j2-ultra-v1", + prompt_model_driver=BedrockJurassicPromptModelDriver(top_p=0.95), + temperature=0.7, + ) + ) + ) ) agent.run( "Suggest an outline for a blog post based on a title. " diff --git a/docs/griptape-framework/data/sql-drivers.md b/docs/griptape-framework/drivers/sql-drivers.md similarity index 100% rename from docs/griptape-framework/data/sql-drivers.md rename to docs/griptape-framework/drivers/sql-drivers.md diff --git a/docs/griptape-framework/data/vector-store-drivers.md b/docs/griptape-framework/drivers/vector-store-drivers.md similarity index 74% rename from docs/griptape-framework/data/vector-store-drivers.md rename to docs/griptape-framework/drivers/vector-store-drivers.md index 520b66d3..1b60a6cf 100644 --- a/docs/griptape-framework/data/vector-store-drivers.md +++ b/docs/griptape-framework/drivers/vector-store-drivers.md @@ -7,10 +7,12 @@ Griptape provides a way to build drivers for vector DBs where embeddings can be - `upsert_text()` for updating and inserting new arbitrary strings into vector DBs. The method will automatically generate embeddings for a given value. - `upsert_vector()` for updating and inserting new vectors directly. - `query()` for querying vector DBs. -- `create_index()`: For easy index creation. Each vector driver takes a [BaseEmbeddingDriver](../../reference/griptape/drivers/embedding/base_embedding_driver.md) used to dynamically generate embeddings for strings. +!!! info + When working with vector database indexes with Griptape drivers, make sure the number of dimensions is equal to 1536. Nearly all embedding models create vectors with this number of dimensions. Check the documentation for your vector database on how to create/update vector indexes. + !!! info More vector drivers are coming soon. @@ -112,13 +114,14 @@ Here is an example of how the driver can be used to load and query information i ```python import os -from griptape.drivers import MarqoVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import MarqoVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver from griptape.engines import VectorQueryEngine from griptape.loaders import WebLoader from griptape.tools import VectorStoreClient # Initialize an embedding driver embedding_driver = OpenAiEmbeddingDriver(api_key=os.getenv("OPENAI_API_KEY")) +prompt_driver = OpenAiChatPromptDriver(model="gpt-3.5-turbo") # Define the namespace namespace = 'griptape-ai' @@ -132,7 +135,7 @@ vector_store = MarqoVectorStoreDriver( ) # Initialize the query engine -query_engine = VectorQueryEngine(vector_store_driver=vector_store) +query_engine = VectorQueryEngine(vector_store_driver=vector_store, prompt_driver=prompt_driver) # Initialize the knowledge base tool VectorStoreClient( @@ -159,7 +162,7 @@ print(result) !!! info This driver requires the `drivers-vector-mongodb` [extra](../index.md#extras). -The [MongodbAtlasVectorStoreDriver](../../reference/griptape/drivers/vector/mongodb_vector_store_driver.md) provides support for storing vector data in a MongoDB Atlas database. +The [MongodbAtlasVectorStoreDriver](../../reference/griptape/drivers/vector/mongodb_atlas_vector_store_driver.md) provides support for storing vector data in a MongoDB Atlas database. Here is an example of how the driver can be used to load and query information in a MongoDb Atlas Cluster: @@ -176,12 +179,84 @@ username = os.getenv("MONGODB_USERNAME") password = os.getenv("MONGODB_PASSWORD") database_name = os.getenv("MONGODB_DATABASE_NAME") collection_name = os.getenv("MONGODB_COLLECTION_NAME") +index_name = os.getenv("MONGODB_INDEX_NAME") +vector_path = os.getenv("MONGODB_VECTOR_PATH") # Initialize the vector store driver vector_store = MongoDbAtlasVectorStoreDriver( connection_string=f"mongodb+srv://{username}:{password}@{host}/{database_name}", database_name=database_name, collection_name=collection_name, embedding_driver=embedding_driver, + index_name=index_name, + vector_path=vector_path, +) + +# Load artifacts from the web +artifacts = WebLoader(max_tokens=200).load("https://www.griptape.ai") + +# Upsert the artifacts into the vector store +vector_store.upsert_text_artifacts( + { + "griptape": artifacts, + } +) + +result = vector_store.query(query="What is griptape?") +print(result) +``` + +The format for creating a vector index should look similar to the following: +```json +{ + "fields": [ + { + "numDimensions": 1536, + "path": "", + "similarity": "euclidean", + "type": "vector" + }, + { + "path": "namespace", + "type": "filter" + } + ] +} +``` +Replace `path_to_vector` with the expected field name where the vector content will be. + +## Azure MongoDB Vector Store Driver + +!!! info + This driver requires the `drivers-vector-mongodb` [extra](../index.md#extras). + +The [AzureMongoDbVectorStoreDriver](../../reference/griptape/drivers/vector/azure_mongodb_vector_store_driver.md) provides support for storing vector data in an Azure CosmosDb database account using the MongoDb vCore API + +Here is an example of how the driver can be used to load and query information in an Azure CosmosDb MongoDb vCore database. It is almost the same as the [MongodbAtlasVectorStoreDriver](#mongodb-atlas-vector-store-driver): + +```python +from griptape.drivers import AzureMongoDbVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.loaders import WebLoader +import os + +# Initialize an embedding driver +embedding_driver = OpenAiEmbeddingDriver(api_key=os.getenv("OPENAI_API_KEY")) + +azure_host = os.getenv("AZURE_MONGODB_HOST") +username = os.getenv("AZURE_MONGODB_USERNAME") +password = os.getenv("AZURE_MONGODB_PASSWORD") +database_name = os.getenv("AZURE_MONGODB_DATABASE_NAME") +collection_name = os.getenv("AZURE_MONGODB_COLLECTION_NAME") +index_name = os.getenv("AZURE_MONGODB_INDEX_NAME") +vector_path = os.getenv("AZURE_MONGODB_VECTOR_PATH") + +# Initialize the vector store driver +vector_store = AzureMongoDbVectorStoreDriver( + connection_string=f"mongodb+srv://{username}:{password}@{azure_host}/{database_name}?tls=true&authMechanism=SCRAM-SHA-256&retrywrites=false&maxIdleTimeMS=120000", + database_name=database_name, + collection_name=collection_name, + embedding_driver=embedding_driver, + index_name=index_name, + vector_path=vector_path, ) # Load artifacts from the web @@ -218,7 +293,7 @@ embedding_driver = OpenAiEmbeddingDriver(api_key=os.getenv("OPENAI_API_KEY")) vector_store_driver = RedisVectorStoreDriver( host=os.getenv("REDIS_HOST"), - port=os.getenv("REDIS_PORT"), + port=os.getenv("REDIS_PORT", 6379), password=os.getenv("REDIS_PASSWORD"), index=os.getenv("REDIS_INDEX"), embedding_driver=embedding_driver, @@ -238,6 +313,11 @@ result = vector_store_driver.query(query="What is griptape?") print(result) ``` +The format for creating a vector index should be similar to the following: +``` +FT.CREATE idx:griptape ON hash PREFIX 1 "griptape:" SCHEMA tag TAG vector VECTOR FLAT 6 TYPE FLOAT32 DIM 1536 DISTANCE_METRIC COSINE +``` + ## OpenSearch Vector Store Driver !!! info @@ -278,6 +358,19 @@ result = vector_store_driver.query(query="What is griptape?") print(result) ``` +The body mappings for creating a vector index should look similar to the following: +```json +{ + "mappings": { + "properties": { + "vector": {"type": "knn_vector", "dimension": 1536}, + "namespace": {"type": "keyword"}, + "metadata": {"type": "object", "enabled": true} + } + } +} +``` + ## PGVector Vector Store Driver !!! info @@ -295,11 +388,11 @@ from griptape.loaders import WebLoader # Initialize an embedding driver. embedding_driver = OpenAiEmbeddingDriver(api_key=os.getenv("OPENAI_API_KEY")) -db_user = os.getenv("DB_USER") -db_pass = os.getenv("DB_PASSWORD") -db_host = os.getenv("DB_HOST") -db_port = os.getenv("DB_PORT") -db_name = os.getenv("DB_NAME") +db_user = os.getenv("POSTGRES_USER") +db_pass = os.getenv("POSTGRES_PASSWORD") +db_host = os.getenv("POSTGRES_HOST") +db_port = os.getenv("POSTGRES_PORT") +db_name = os.getenv("POSTGRES_DB") db_connection_string = f"postgresql://{db_user}:{db_pass}@{db_host}:{db_port}/{db_name}" vector_store_driver = PgVectorVectorStoreDriver( connection_string=db_connection_string, diff --git a/docs/griptape-framework/data/extraction-engines.md b/docs/griptape-framework/engines/extraction-engines.md similarity index 85% rename from docs/griptape-framework/data/extraction-engines.md rename to docs/griptape-framework/engines/extraction-engines.md index cbf340ad..f7969ff4 100644 --- a/docs/griptape-framework/data/extraction-engines.md +++ b/docs/griptape-framework/engines/extraction-engines.md @@ -11,10 +11,13 @@ The CSV Extraction Engine is designed specifically for extracting data from CSV- The CSV Extraction Engine requires the `column_names` parameter for specifying the columns to be extracted. ```python +from griptape.drivers import OpenAiChatPromptDriver from griptape.engines import CsvExtractionEngine # Initialize the CsvExtractionEngine instance -csv_engine = CsvExtractionEngine() +csv_engine = CsvExtractionEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), +) # Define some unstructured data sample_text = """ @@ -44,10 +47,14 @@ The JSON Extraction Engine is tailored for extracting data from JSON-formatted c The JSON Extraction Engine requires the `template_schema` parameter for specifying the structure to be extracted. ```python +from schema import Schema + +from griptape.drivers import OpenAiChatPromptDriver from griptape.engines import JsonExtractionEngine -from schema import Schema -json_engine = JsonExtractionEngine() +json_engine = JsonExtractionEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), +) # Define some unstructured data sample_json_text = """ diff --git a/docs/griptape-framework/data/image-generation-engines.md b/docs/griptape-framework/engines/image-generation-engines.md similarity index 86% rename from docs/griptape-framework/data/image-generation-engines.md rename to docs/griptape-framework/engines/image-generation-engines.md index 59d82a4a..9073e670 100644 --- a/docs/griptape-framework/data/image-generation-engines.md +++ b/docs/griptape-framework/engines/image-generation-engines.md @@ -1,6 +1,6 @@ ## Overview -[Image Generation Engines](../../reference/griptape/engines/image/index.md) facilitate text-to-image and image-to-image generation. Each Engine provides a `run` method that accepts the necessary inputs for its particular mode and provides the request to the configured [Driver](../structures/image-generation-drivers.md). +[Image Generation Engines](../../reference/griptape/engines/image/index.md) facilitate text-to-image and image-to-image generation. Each Engine provides a `run` method that accepts the necessary inputs for its particular mode and provides the request to the configured [Driver](../drivers/image-generation-drivers.md). ### Image Generation Engine Rulesets @@ -9,7 +9,7 @@ In the following example, rulesets are provided to the Engine's `run()` method call. These rules are provided to the Driver and influence the model to generate an image in an artistic, watercolor style, while avoiding blurry, photographic characteristics. !!! note "Not all Drivers support Negative Rulesets" - See the [documentation for your Driver](../structures/image-generation-drivers.md) to determine if it supports Negative Rulesets. + See the [documentation for your Driver](../drivers/image-generation-drivers.md) to determine if it supports Negative Rulesets. ```python from griptape.engines import PromptImageGenerationEngine @@ -86,9 +86,12 @@ engine = VariationImageGenerationEngine( image_generation_driver=driver, ) +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + engine.run( prompts=["A photo of a mountain landscape in winter"], - image=ImageLoader().load("tests/assets/mountain.png"), + image=image_artifact, ) ``` @@ -114,10 +117,16 @@ engine = InpaintingImageGenerationEngine( image_generation_driver=driver, ) +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +with open("tests/assets/mountain-mask.png", "rb") as f: + mask_artifact = ImageLoader().load(f.read()) + engine.run( prompts=["A photo of a castle built into the side of a mountain"], - image=ImageLoader().load("tests/assets/mountain.png"), - mask=ImageLoader().load("tests/assets/mountain-mask.png"), + image=image_artifact, + mask=mask_artifact, ) ``` @@ -142,9 +151,15 @@ engine = OutpaintingImageGenerationEngine( image_generation_driver=driver, ) +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +with open("tests/assets/mountain-mask.png", "rb") as f: + mask_artifact = ImageLoader().load(f.read()) + engine.run( prompts=["A photo of a mountain shrouded in clouds"], - image=ImageLoader().load("tests/assets/mountain.png"), - mask=ImageLoader().load("tests/assets/mountain-mask.png"), + image=image_artifact, + mask=mask_artifact, ) ``` diff --git a/docs/griptape-framework/engines/image-query-engines.md b/docs/griptape-framework/engines/image-query-engines.md new file mode 100644 index 00000000..3d25c969 --- /dev/null +++ b/docs/griptape-framework/engines/image-query-engines.md @@ -0,0 +1,20 @@ +# ImageQueryEngine + +The [Image Query Engine](../../reference/griptape/engines/image_query/image_query_engine.md) is used to execute natural language queries on the contents of images. You can specify the provider and model used to query the image by providing the Engine with a particular [Image Query Driver](../drivers/image-query-drivers.md). + +```python +from griptape.drivers import OpenAiVisionImageQueryDriver +from griptape.engines import ImageQueryEngine +from griptape.loaders import ImageLoader + +driver = OpenAiVisionImageQueryDriver() + +engine = ImageQueryEngine( + image_query_driver=driver, +) + +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +engine.run("Describe the weather in the image", [image_artifact]) +``` diff --git a/docs/griptape-framework/data/query-engines.md b/docs/griptape-framework/engines/query-engines.md similarity index 90% rename from docs/griptape-framework/data/query-engines.md rename to docs/griptape-framework/engines/query-engines.md index 66ac2d8a..8acd4686 100644 --- a/docs/griptape-framework/data/query-engines.md +++ b/docs/griptape-framework/engines/query-engines.md @@ -10,11 +10,12 @@ Use the [upsert_text_artifact](../../reference/griptape/engines/query/vector_que Use the [VectorQueryEngine](../../reference/griptape/engines/query/vector_query_engine.md#griptape.engines.query.vector_query_engine.VectorQueryEngine.query.md) method to query the vector storage. ```python -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import OpenAiChatPromptDriver, LocalVectorStoreDriver, OpenAiEmbeddingDriver from griptape.engines import VectorQueryEngine from griptape.loaders import WebLoader engine = VectorQueryEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), vector_store_driver=LocalVectorStoreDriver(embedding_driver=OpenAiEmbeddingDriver()) ) diff --git a/docs/griptape-framework/data/summary-engines.md b/docs/griptape-framework/engines/summary-engines.md similarity index 90% rename from docs/griptape-framework/data/summary-engines.md rename to docs/griptape-framework/engines/summary-engines.md index 1723284e..e9126b50 100644 --- a/docs/griptape-framework/data/summary-engines.md +++ b/docs/griptape-framework/engines/summary-engines.md @@ -11,11 +11,15 @@ Use the [summarize_artifacts](../../reference/griptape/engines/summary/prompt_su ```python import io import requests + +from griptape.drivers import OpenAiChatPromptDriver from griptape.engines import PromptSummaryEngine from griptape.loaders import PdfLoader response = requests.get("https://arxiv.org/pdf/1706.03762.pdf") -engine = PromptSummaryEngine() +engine = PromptSummaryEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), +) artifacts = PdfLoader().load( io.BytesIO(response.content) diff --git a/docs/griptape-framework/index.md b/docs/griptape-framework/index.md index 449139d3..7c33e058 100644 --- a/docs/griptape-framework/index.md +++ b/docs/griptape-framework/index.md @@ -15,7 +15,7 @@ Griptape’s design philosophy is based on the following tenets: ### OpenAI API Key First, configure an OpenAI client by [getting an API key](https://platform.openai.com/account/api-keys) and adding it to your environment as `OPENAI_API_KEY`. -By default, Griptape uses [OpenAI Completions API](https://platform.openai.com/docs/guides/completion) to execute LLM prompts, but other LLMs can be configured with the use of [Prompt Drivers](./structures/prompt-drivers.md). +By default, Griptape uses [OpenAI Completions API](https://platform.openai.com/docs/guides/completion) to execute LLM prompts, but other LLMs can be configured with the use of [Prompt Drivers](./drivers/prompt-drivers.md). ### Using pip @@ -54,7 +54,7 @@ To install just the core dependencies: poetry add griptape ``` -To install specific extras (e.g., drivers for [AnthropicPromptDriver](./structures/prompt-drivers.md#anthropic) and [PineconeVectorStoreDriver](./data/vector-store-drivers.md#pinecone)): +To install specific extras (e.g., drivers for [AnthropicPromptDriver](./drivers/prompt-drivers.md#anthropic) and [PineconeVectorStoreDriver](./drivers/vector-store-drivers.md#pinecone)): ``` poetry add griptape[drivers-prompt-anthropic,drivers-vector-pinecone] ``` @@ -102,7 +102,7 @@ Agents on their own are fun, but let's add some capabilities to them using Gript from griptape.structures import Agent from griptape.tools import Calculator -calculator = Calculator() +calculator = Calculator(off_prompt=False) agent = Agent( tools=[calculator] diff --git a/docs/griptape-framework/structures/events.md b/docs/griptape-framework/misc/events.md similarity index 97% rename from docs/griptape-framework/structures/events.md rename to docs/griptape-framework/misc/events.md index fd5a8572..263993fc 100644 --- a/docs/griptape-framework/structures/events.md +++ b/docs/griptape-framework/misc/events.md @@ -118,7 +118,7 @@ You can use the [CompletionChunkEvent](../../reference/griptape/events/completio from griptape.events import CompletionChunkEvent, EventListener from griptape.tasks import ToolkitTask from griptape.structures import Pipeline -from griptape.tools import WebScraper +from griptape.tools import WebScraper, TaskMemoryClient pipeline = Pipeline( @@ -130,7 +130,7 @@ pipeline = Pipeline( pipeline.add_tasks( ToolkitTask( "Based on https://griptape.ai, tell me what griptape is.", - tools=[WebScraper()], + tools=[WebScraper(), TaskMemoryClient(off_prompt=False)], ), ) @@ -141,13 +141,15 @@ You can also use the [Stream](../../reference/griptape/utils/stream.md) utility [CompletionChunkEvent](../../reference/griptape/events/completion_chunk_event.md)s in a Python iterator. ```python +from griptape.drivers import OpenAiChatPromptDriver from griptape.utils import Stream from griptape.tasks import ToolkitTask from griptape.structures import Pipeline from griptape.tools import WebScraper -pipeline = Pipeline(stream=True) +pipeline = Pipeline() +pipeline.config.global_drivers.prompt_driver.stream = True pipeline.add_tasks( ToolkitTask( "Based on https://griptape.ai, tell me what griptape is.", diff --git a/docs/griptape-framework/structures/tokenizers.md b/docs/griptape-framework/misc/tokenizers.md similarity index 100% rename from docs/griptape-framework/structures/tokenizers.md rename to docs/griptape-framework/misc/tokenizers.md diff --git a/docs/griptape-framework/structures/config.md b/docs/griptape-framework/structures/config.md new file mode 100644 index 00000000..fa1688f1 --- /dev/null +++ b/docs/griptape-framework/structures/config.md @@ -0,0 +1,116 @@ +## Overview + +The [StructureConfig](../../reference/griptape/config/structure_config.md) class allows for the customization of Structures within Griptape, enabling specific settings such as Drivers to be defined for Tasks. + +### Premade Configs + +Griptape provides predefined [StructureConfig](../../reference/griptape/config/structure_config.md)'s for widely used services that provide APIs for most Driver types Griptape offers. + +#### OpenAI + +The [OpenAI Structure Config](../../reference/griptape/config/structure_config.md#griptape.config.structure_config.OpenStructureAIConfig) provides default Drivers for OpenAI's APIs. This is the default config for all Structures. + + +```python +from griptape.structures import Agent +from griptape.config import OpenAiStructureConfig + +agent = Agent( + config=OpenAiStructureConfig() +) + +agent = Agent() # This is equivalent to the above +``` + +#### Amazon Bedrock +The [Amazon Bedrock Structure Config](../../reference/griptape/config/structure_config.md#griptape.config.structure_config.AmazonBedrockStructureConfig) provides default Drivers for Amazon Bedrock's APIs. + +```python +from griptape.structures import Agent +from griptape.config import AmazonBedrockStructureConfig + +agent = Agent( + config=AmazonBedrockStructureConfig() +) +``` + +### Custom Configs + +You can create your own [StructureConfig](../../reference/griptape/config/structure_config.md) by overriding the Drivers in [default_config](../../reference/griptape/config/structure_config.md#griptape.config.structure_config.StructureConfig.default_config). +The [StructureConfig](../../reference/griptape/config/structure_config.md) class includes "Dummy" Drivers for all types, which throw a [DummyException](../../reference/griptape/exceptions/dummy_exception.md) if invoked without being overridden. +This approach ensures that you are informed through clear error messages if you attempt to use Structures without proper Driver configurations. + +```python +import os +from griptape.structures import Agent +from griptape.config import StructureConfig, StructureGlobalDriversConfig +from griptape.drivers import AnthropicPromptDriver + +agent = Agent( + config=StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=AnthropicPromptDriver( + model="claude-2", + api_key=os.environ["ANTHROPIC_API_KEY"], + ) + ) + ), +) +``` + +### Task Memory + +Griptape allows for detailed control over [Task Memory](./task-memory.md) settings, permitting overrides on a per Engine basis, beyond the global Drivers configuration. + +```python +from griptape.structures import Agent +from griptape.config import StructureConfig, StructureTaskMemoryConfig, StructureTaskMemoryQueryEngineConfig +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver + + +agent = Agent( + config=StructureConfig( + task_memory=StructureTaskMemoryConfig( + query_engine=StructureTaskMemoryQueryEngineConfig( + vector_store_driver=LocalVectorStoreDriver( + embedding_driver=OpenAiEmbeddingDriver(), + ) + ) + ) + ) +) +``` + +### Loading/Saving Configs + +Configuration classes in Griptape offer utility methods for loading, saving, and merging configurations, streamlining the management of complex setups. + +```python +from griptape.structures import Agent +from griptape.config import AmazonBedrockStructureConfig +from griptape.drivers import AmazonBedrockCohereEmbeddingDriver + +custom_config = AmazonBedrockStructureConfig() +custom_config.global_drivers.embedding_driver = AmazonBedrockCohereEmbeddingDriver() +custom_config.merge_config( + { + "task_memory": { + "summary_engine": { + "prompt_driver": { + "model": "amazon.titan-text-express-v1", + "prompt_model_driver": { + "type": "BedrockTitanPromptModelDriver", + }, + } + } + } + } +) +serialized_config = custom_config.to_json() +deserialized_config = AmazonBedrockStructureConfig.from_json(serialized_config) + +agent = Agent( + config=deserialized_config, +) +``` + diff --git a/docs/griptape-framework/structures/conversation-memory.md b/docs/griptape-framework/structures/conversation-memory.md index edc7f3e5..03a4bb1f 100644 --- a/docs/griptape-framework/structures/conversation-memory.md +++ b/docs/griptape-framework/structures/conversation-memory.md @@ -1,4 +1,4 @@ -# Overview +## Overview You can use Conversation Memory to give Griptape Structures the ability to keep track of the conversation across runs. All structures are created with [ConversationMemory](../../reference/griptape/memory/structure/conversation_memory.md) by default. diff --git a/docs/griptape-framework/tools/task-memory.md b/docs/griptape-framework/structures/task-memory.md similarity index 88% rename from docs/griptape-framework/tools/task-memory.md rename to docs/griptape-framework/structures/task-memory.md index ea2a58ce..e4462547 100644 --- a/docs/griptape-framework/tools/task-memory.md +++ b/docs/griptape-framework/structures/task-memory.md @@ -13,38 +13,15 @@ Here is an example of how memory can be used in unison with multiple tools to st ```python from griptape.artifacts import TextArtifact, BlobArtifact -from griptape.memory import TaskMemory from griptape.memory.task.storage import TextArtifactStorage, BlobArtifactStorage from griptape.structures import Agent from griptape.tools import WebScraper, FileManager, TaskMemoryClient from griptape.engines import VectorQueryEngine, PromptSummaryEngine, CsvExtractionEngine, JsonExtractionEngine -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver -""" -Define task memory for storing textual and -non-textual content. -""" -task_memory = TaskMemory( - # Disable all memory activities, so we can use - # TaskMemoryClient as a tool later. - allowlist=[], - artifact_storages={ - TextArtifact: TextArtifactStorage( - query_engine=VectorQueryEngine( - vector_store_driver=LocalVectorStoreDriver( - embedding_driver=OpenAiEmbeddingDriver() - ) - ), - summary_engine=PromptSummaryEngine(), - csv_extraction_engine=CsvExtractionEngine(), - json_extraction_engine=JsonExtractionEngine() - ), - BlobArtifact: BlobArtifactStorage() - } -) +prompt_driver = OpenAiChatPromptDriver(model="gpt-3.5-turbo") agent = Agent( - task_memory=task_memory, tools=[WebScraper(), FileManager(), TaskMemoryClient(off_prompt=True)] ) diff --git a/docs/griptape-framework/structures/tasks.md b/docs/griptape-framework/structures/tasks.md index 12cbc376..dc1d2f23 100644 --- a/docs/griptape-framework/structures/tasks.md +++ b/docs/griptape-framework/structures/tasks.md @@ -187,18 +187,21 @@ agent.run("Give me the answer for 5*4.") ## Extraction Task To extract information from text, use an [ExtractionTask](../../reference/griptape/tasks/extraction_task.md). -This Task takes an [Extraction Engine](../../griptape-framework/data/extraction-engines.md), and a set of arguments specific to the Engine. +This Task takes an [Extraction Engine](../../griptape-framework/engines/extraction-engines.md), and a set of arguments specific to the Engine. ### CSV Extraction ```python +from griptape.drivers import OpenAiChatPromptDriver from griptape.tasks import ExtractionTask from griptape.structures import Agent from griptape.engines import CsvExtractionEngine # Instantiate the CSV extraction engine -csv_extraction_engine = CsvExtractionEngine() +csv_extraction_engine = CsvExtractionEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo") +) # Define some unstructured data and columns csv_data = """ @@ -239,13 +242,17 @@ agent.run(csv_data) ### JSON Extraction ```python +from schema import Schema + +from griptape.drivers import OpenAiChatPromptDriver from griptape.tasks import ExtractionTask from griptape.structures import Agent from griptape.engines import JsonExtractionEngine -from schema import Schema # Instantiate the json extraction engine -json_extraction_engine = JsonExtractionEngine() +json_extraction_engine = JsonExtractionEngine( + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), +) # Define some unstructured data and a schema json_data = """ @@ -281,7 +288,7 @@ agent.run(json_data) ## Text Summary Task To summarize a text, use the [TextSummaryTask](../../reference/griptape/tasks/text_summary_task.md). -This Task takes an [Summarization Engine](../../griptape-framework/data/summary-engines.md), and a set of arguments to the engine. +This Task takes an [Summarization Engine](../../griptape-framework/engines/summary-engines.md), and a set of arguments to the engine. ```python from griptape.structures import Agent @@ -346,16 +353,17 @@ agent.run( ## Text Query Task To query text, use the [TextQueryTask](../../reference/griptape/tasks/text_query_task.md). -This Task takes a [Query Engine](../../griptape-framework/data/query-engines.md), and a set of arguments specific to the engine. +This Task takes a [Query Engine](../../griptape-framework/engines/query-engines.md), and a set of arguments specific to the engine. ```python +from griptape.drivers import OpenAiChatPromptDriver from griptape.structures import Agent from griptape.tasks import TextQueryTask from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver from griptape.engines import VectorQueryEngine from griptape.artifacts import TextArtifact -# Initiate Embedding Driver and Vector Store Driver +# Initialize Embedding Driver and Vector Store Driver vector_store_driver = LocalVectorStoreDriver(embedding_driver=OpenAiEmbeddingDriver()) artifact = TextArtifact( @@ -364,7 +372,10 @@ artifact = TextArtifact( ) # Create a VectorQueryEngine using the LocalVectorStoreDriver -vector_query_engine = VectorQueryEngine(vector_store_driver=vector_store_driver) +vector_query_engine = VectorQueryEngine( + vector_store_driver=vector_store_driver, + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo") +) vector_query_engine.upsert_text_artifact(artifact=artifact) # Instantiate the agent and add TextQueryTask with the VectorQueryEngine @@ -437,7 +448,7 @@ pipeline.run("Write me a line in a poem") ## Image Generation Tasks -To generate an image, use one of the following [Image Generation Tasks](../../reference/griptape/tasks/index.md). All Image Generation Tasks accept an [Image Generation Engine](../data/image-generation-engines.md) configured to use an [Image Generation Driver](./image-generation-drivers.md). +To generate an image, use one of the following [Image Generation Tasks](../../reference/griptape/tasks/index.md). All Image Generation Tasks accept an [Image Generation Engine](../engines/image-generation-engines.md) configured to use an [Image Generation Driver](../drivers/image-generation-drivers.md). All successful Image Generation Tasks will always output an [Image Artifact](../data/artifacts.md#imageartifact). Each task can be configured to additionally write the generated image to disk by providing either the `output_file` or `output_dir` field. The `output_file` field supports file names in the current directory (`my_image.png`), relative directory prefixes (`images/my_image.png`), or absolute paths (`/usr/var/my_image.png`). By setting `output_dir`, the task will generate a file name and place the image in the requested directory. @@ -496,7 +507,8 @@ engine = VariationImageGenerationEngine( ) # Load input image artifact. -image_artifact = ImageLoader().load("tests/assets/mountain.png") +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) # Create a task configured to use the engine. task = VariationImageGenerationTask( @@ -531,8 +543,11 @@ engine = InpaintingImageGenerationEngine( ) # Load input image artifacts. -image_artifact = ImageLoader().load("tests/assets/mountain.png") -mask_artifact = ImageLoader().load("tests/assets/mountain-mask.png") +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +with open("tests/assets/mountain-mask.png", "rb") as f: + mask_artifact = ImageLoader().load(f.read()) # Create a task configured to use the engine. task = InpaintingImageGenerationTask( @@ -567,8 +582,11 @@ engine = OutpaintingImageGenerationEngine( ) # Load input image artifacts. -image_artifact = ImageLoader().load("tests/assets/mountain.png") -mask_artifact = ImageLoader().load("tests/assets/mountain-mask.png") +with open("tests/assets/mountain.png", "rb") as f: + image_artifact = ImageLoader().load(f.read()) + +with open("tests/assets/mountain-mask.png", "rb") as f: + mask_artifact = ImageLoader().load(f.read()) # Create a task configured to use the engine. task = OutpaintingImageGenerationTask( diff --git a/docs/griptape-framework/tools/index.md b/docs/griptape-framework/tools/index.md index 84bcfbc7..6a131298 100644 --- a/docs/griptape-framework/tools/index.md +++ b/docs/griptape-framework/tools/index.md @@ -1,4 +1,4 @@ -## Overview +# Overview One of the most powerful features of Griptape is the ability for Toolkit Tasks to generate _chains of thought_ (CoT) and use tools that can interact with the outside world. We use the [ReAct](https://arxiv.org/abs/2210.03629) technique to implement CoT reasoning and acting in the underlying LLMs without using any fine-tuning. diff --git a/docs/griptape-tools/custom-tools/index.md b/docs/griptape-tools/custom-tools/index.md index 61eef6cb..5b0fe7ad 100644 --- a/docs/griptape-tools/custom-tools/index.md +++ b/docs/griptape-tools/custom-tools/index.md @@ -1,4 +1,4 @@ -# Custom Tools +## Overview Building your own tools is easy with Griptape! @@ -30,7 +30,7 @@ To add Python dependencies for your tool, add a `requirements.txt` file. The too Next, create a `tool.py` file with the following code: -```python +```python title="PYTEST_IGNORE" import random from griptape.artifacts import TextArtifact from griptape.tools import BaseTool @@ -58,7 +58,7 @@ class RandomNumberGenerator(BaseTool): Finally, let's test our tool: -```python +```python title="PYTEST_IGNORE" from griptape.structures import Agent from rng_tool.tool import RandomNumberGenerator diff --git a/docs/griptape-tools/index.md b/docs/griptape-tools/index.md index d176f0db..0476cd7b 100644 --- a/docs/griptape-tools/index.md +++ b/docs/griptape-tools/index.md @@ -2,7 +2,7 @@ Tools give the LLM abilities to invoke outside APIs, reference data sets, and ge Griptape tools are special Python classes that LLMs can use to accomplish specific goals. Here is an example custom tool for generating a random number: -```python +```python title="PYTEST_IGNORE" import random from griptape.artifacts import TextArtifact from griptape.tools import BaseTool @@ -30,7 +30,7 @@ A tool can have many "activities" as denoted by the `@activity` decorator. Each Output artifacts from all tool activities (except for `InfoArtifact` and `ErrorArtifact`) go to short-term `TaskMemory`. To disable that behavior set the `off_prompt` tool parameter to `False`: -```python +```python title="PYTEST_IGNORE" RandomNumberGenerator(off_prompt=False) ``` diff --git a/docs/griptape-tools/official-tools/image-query-client.md b/docs/griptape-tools/official-tools/image-query-client.md new file mode 100644 index 00000000..3f094400 --- /dev/null +++ b/docs/griptape-tools/official-tools/image-query-client.md @@ -0,0 +1,27 @@ +# ImageQueryClient + +This tool allows Agents to execute natural language queries on the contents of images using multimodal models. + +```python +from griptape.structures import Agent +from griptape.tools import ImageQueryClient +from griptape.drivers import OpenAiVisionImageQueryDriver +from griptape.engines import ImageQueryEngine + +# Create an Image Query Driver. +driver = OpenAiVisionImageQueryDriver() + +# Create an Image Query Engine configured to use the driver. +engine = ImageQueryEngine( + image_query_driver=driver, +) + +# Create an Image Query Client configured to use the engine. +tool = ImageQueryClient( + image_query_engine=engine, + off_prompt=False, +) + +# Create an agent and provide the tool to it. +Agent(tools=[tool]).run("Describe the weather in the image tests/assets/mountain.png in one word.") +``` diff --git a/docs/griptape-tools/official-tools/inpainting-image-generation-client.md b/docs/griptape-tools/official-tools/inpainting-image-generation-client.md index 40f22027..39f944d1 100644 --- a/docs/griptape-tools/official-tools/inpainting-image-generation-client.md +++ b/docs/griptape-tools/official-tools/inpainting-image-generation-client.md @@ -1,6 +1,6 @@ # InpaintingImageGenerationClient -This tool allows LLMs to generate images using inpainting, where an input image is altered within the area specified by a mask image according to a prompt. +This tool allows LLMs to generate images using inpainting, where an input image is altered within the area specified by a mask image according to a prompt. The input and mask images can be provided either by their file path or by their [Task Memory](../../griptape-framework/structures/task-memory.md) references. ```python from griptape.structures import Agent diff --git a/docs/griptape-tools/official-tools/outpainting-image-generation-client.md b/docs/griptape-tools/official-tools/outpainting-image-generation-client.md index ca4ac462..43cf822f 100644 --- a/docs/griptape-tools/official-tools/outpainting-image-generation-client.md +++ b/docs/griptape-tools/official-tools/outpainting-image-generation-client.md @@ -1,6 +1,6 @@ # OutpaintingImageGenerationClient -This tool allows LLMs to generate images using outpainting, where an input image is altered outside of the area specified by a mask image according to a prompt. +This tool allows LLMs to generate images using outpainting, where an input image is altered outside of the area specified by a mask image according to a prompt. The input and mask images can be provided either by their file path or by their [Task Memory](../../griptape-framework/structures/task-memory.md) references. ```python from griptape.structures import Agent diff --git a/docs/griptape-tools/official-tools/rest-api-client.md b/docs/griptape-tools/official-tools/rest-api-client.md index a7359997..b253d0bc 100644 --- a/docs/griptape-tools/official-tools/rest-api-client.md +++ b/docs/griptape-tools/official-tools/rest-api-client.md @@ -14,6 +14,7 @@ from griptape.memory.structure import ConversationMemory from griptape.structures import Pipeline from griptape.tasks import ToolkitTask from griptape.tools import RestApiClient +from griptape.config import StructureConfig, StructureGlobalDriversConfig posts_client = RestApiClient( base_url="https://jsonplaceholder.typicode.com", @@ -117,11 +118,14 @@ posts_client = RestApiClient( pipeline = Pipeline( conversation_memory=ConversationMemory(), - prompt_driver=OpenAiChatPromptDriver( - model="gpt-4", - temperature=0.1 + config = StructureConfig( + global_drivers=StructureGlobalDriversConfig( + prompt_driver=OpenAiChatPromptDriver( + model="gpt-4", + temperature=0.1 + ), + ) ), - ) pipeline.add_tasks( diff --git a/docs/griptape-tools/official-tools/variation-image-generation-client.md b/docs/griptape-tools/official-tools/variation-image-generation-client.md index 3c14995b..248ea2ba 100644 --- a/docs/griptape-tools/official-tools/variation-image-generation-client.md +++ b/docs/griptape-tools/official-tools/variation-image-generation-client.md @@ -1,6 +1,8 @@ # VariationImageGenerationEngine -This tool allows LLMs to generate variations of an input image from a text prompt. +This Tool allows LLMs to generate variations of an input image from a text prompt. The input image can be provided either by its file path or by its [Task Memory](../../griptape-framework/structures/task-memory.md) reference. + +## Referencing an Image by File Path ```python from griptape.structures import Agent @@ -32,3 +34,50 @@ tool = VariationImageGenerationClient( Agent(tools=[tool]).run("Generate a variation of the image located at tests/assets/mountain.png " "depicting a mountain on a winter day") ``` + +## Referencing an Image in Task Memory + +```python +from griptape.structures import Agent +from griptape.engines import VariationImageGenerationEngine, PromptImageGenerationEngine +from griptape.drivers import AmazonBedrockImageGenerationDriver, \ + BedrockStableDiffusionImageGenerationModelDriver +from griptape.tools import VariationImageGenerationClient, PromptImageGenerationClient + + +# Create a driver configured to use Stable Diffusion via Bedrock. +driver = AmazonBedrockImageGenerationDriver( + image_generation_model_driver=BedrockStableDiffusionImageGenerationModelDriver( + style_preset="pixel-art", + ), + model="stability.stable-diffusion-xl-v0", +) + +# Create an prompt image generation engine configured to use the driver. +prompt_engine = PromptImageGenerationEngine( + image_generation_driver=driver, +) + +# Create a prompt image generation client configured to use the engine. +prompt_tool = PromptImageGenerationClient( + engine=prompt_engine, +) + +# Create an variation image generation engine configured to use the driver. +variation_engine = VariationImageGenerationEngine( + image_generation_driver=driver, +) + +# Create a variation image generation client configured to use the engine. +variation_tool = VariationImageGenerationClient( + engine=variation_engine, +) + +# Create an agent and provide the tools to it. +agent = Agent(tools=[prompt_tool, variation_tool]) + +# Run the agent using a prompt motivating it to generate an image, then +# create a variation of the image present in task memory. +agent.run("Generate an image of a mountain on a summer day. Then, generate a " + "variation of this image depicting the same mountain scene on a winter day.") +``` diff --git a/docs/griptape-tools/official-tools/vector-store-client.md b/docs/griptape-tools/official-tools/vector-store-client.md index b366be5f..2b4d6cbe 100644 --- a/docs/griptape-tools/official-tools/vector-store-client.md +++ b/docs/griptape-tools/official-tools/vector-store-client.md @@ -7,11 +7,13 @@ from griptape.structures import Agent from griptape.tools import VectorStoreClient, TaskMemoryClient from griptape.loaders import WebLoader from griptape.engines import VectorQueryEngine -from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver - +from griptape.drivers import LocalVectorStoreDriver, OpenAiEmbeddingDriver, OpenAiChatPromptDriver engine = VectorQueryEngine( - vector_store_driver=LocalVectorStoreDriver(embedding_driver=OpenAiEmbeddingDriver()) + prompt_driver=OpenAiChatPromptDriver(model="gpt-3.5-turbo"), + vector_store_driver=LocalVectorStoreDriver( + embedding_driver=OpenAiEmbeddingDriver(), + ), ) engine.upsert_text_artifacts( diff --git a/griptape.txt b/griptape.txt new file mode 100644 index 00000000..483660ac --- /dev/null +++ b/griptape.txt @@ -0,0 +1 @@ +The text introduces Griptape, an open-source Python framework and managed cloud platform for building and deploying enterprise-class AI applications. It allows users to easily create AI-powered agents, pipelines, and workflows, securely connect to data sources, and scale with their workload. Griptape also offers Griptape Cloud, a managed platform for running AI applications. Customers can contact Griptape for assistance in getting started with working with large language models. \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 6781f181..4e983a3b 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -94,32 +94,38 @@ nav: - Framework: - Overview: "griptape-framework/index.md" - Structures: - - Tasks: "griptape-framework/structures/tasks.md" - Agents: "griptape-framework/structures/agents.md" - Pipelines: "griptape-framework/structures/pipelines.md" - Workflows: "griptape-framework/structures/workflows.md" - - Prompt Drivers: "griptape-framework/structures/prompt-drivers.md" - - Tokenizers: "griptape-framework/structures/tokenizers.md" + - Tasks: "griptape-framework/structures/tasks.md" + - Task Memory: "griptape-framework/structures/task-memory.md" - Conversation Memory: "griptape-framework/structures/conversation-memory.md" - Rulesets: "griptape-framework/structures/rulesets.md" - - Events: "griptape-framework/structures/events.md" - - Image Generation Drivers: "griptape-framework/structures/image-generation-drivers.md" + - Config: "griptape-framework/structures/config.md" - Tools: - Overview: "griptape-framework/tools/index.md" - - Task Memory: "griptape-framework/tools/task-memory.md" - Building Custom Tools: "griptape-tools/custom-tools/index.md" + - Engines: + - Query Engines: "griptape-framework/engines/query-engines.md" + - Extraction Engines: "griptape-framework/engines/extraction-engines.md" + - Summary Engines: "griptape-framework/engines/summary-engines.md" + - Image Generation Engines: "griptape-framework/engines/image-generation-engines.md" + - Image Query Engines: "griptape-framework/engines/image-query-engines.md" + - Drivers: + - Prompt Drivers: "griptape-framework/drivers/prompt-drivers.md" + - Embedding Drivers: "griptape-framework/drivers/embedding-drivers.md" + - Vector Store Drivers: "griptape-framework/drivers/vector-store-drivers.md" + - Image Generation Drivers: "griptape-framework/drivers/image-generation-drivers.md" + - SQL Drivers: "griptape-framework/drivers/sql-drivers.md" + - Image Query Drivers: "griptape-framework/drivers/image-query-drivers.md" - Data: - Overview: "griptape-framework/data/index.md" - Artifacts: "griptape-framework/data/artifacts.md" - - Embedding Drivers: "griptape-framework/data/embedding-drivers.md" - Chunkers: "griptape-framework/data/chunkers.md" - Loaders: "griptape-framework/data/loaders.md" - - Extraction Engines: "griptape-framework/data/extraction-engines.md" - - Query Engines: "griptape-framework/data/query-engines.md" - - Summary Engines: "griptape-framework/data/summary-engines.md" - - Vector Store Drivers: "griptape-framework/data/vector-store-drivers.md" - - SQL Drivers: "griptape-framework/data/sql-drivers.md" - - Image Generation Engines: "griptape-framework/data/image-generation-engines.md" + - Misc: + - Events: "griptape-framework/misc/events.md" + - Tokenizers: "griptape-framework/misc/tokenizers.md" - Tools: - Overview: "griptape-tools/index.md" - Official Tools: @@ -145,6 +151,7 @@ nav: - VariationImageGenerationClient: "griptape-tools/official-tools/variation-image-generation-client.md" - InpaintingImageGenerationClient: "griptape-tools/official-tools/inpainting-image-generation-client.md" - OutpaintingImageGenerationClient: "griptape-tools/official-tools/outpainting-image-generation-client.md" + - ImageQueryClient: "griptape-tools/official-tools/image-query-client.md" - Custom Tools: - Building Custom Tools: "griptape-tools/custom-tools/index.md" - Recipes: @@ -153,6 +160,7 @@ nav: - Talk to Redshift: "examples/talk-to-redshift.md" - Talk to a Webpage: "examples/talk-to-a-webpage.md" - Talk to a PDF: "examples/talk-to-a-pdf.md" + - Shared Memory Between Agents: "examples/multiple-agent-shared-memory.md" - Data: - Load and Query Pinecone: "examples/load-and-query-pinecone.md" - Load and Query Marqo: "examples/load-query-and-chat-marqo.md" 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OH + diff --git a/tests/integration/test_code_blocks.py b/tests/integration/test_code_blocks.py index ead76677..84bd4281 100644 --- a/tests/integration/test_code_blocks.py +++ b/tests/integration/test_code_blocks.py @@ -1,8 +1,11 @@ import io +import os + import pytest from utils.code_blocks import get_all_code_blocks, check_py_string -all_code_blocks = get_all_code_blocks() +code_path = os.environ.get("INTEG_CODE_PATH", "**/*.md") +all_code_blocks = get_all_code_blocks(code_path) @pytest.mark.parametrize( diff --git a/tests/integration/utils/code_blocks.py b/tests/integration/utils/code_blocks.py index 46a5f089..db9a5b27 100644 --- a/tests/integration/utils/code_blocks.py +++ b/tests/integration/utils/code_blocks.py @@ -28,7 +28,24 @@ def check_code_block(block: str, lang: str = "python") -> str: """ first_line = block.split("\n")[0] if lang: - if first_line[3:] != lang: + line_elements = first_line[3:].split(" ", 2) + if len(line_elements) == 1: + block_lang = line_elements[0] + title_value = None + elif len(line_elements) == 2: + block_lang, title = line_elements + title_elements = title.replace(" ", "").split("=", 2) + if len(title_elements) == 2: + _, title_value = title_elements + else: + title_value = None + else: + block_lang = None + title_value = None + + if block_lang != lang: + return "" + if title_value == '"PYTEST_IGNORE"': return "" return "\n".join(block.split("\n")[1:]) @@ -55,9 +72,9 @@ def get_code_blocks(docstring: str, lang: str = "python") -> list[str]: return [c for c in codeblocks if c != ""] -def get_all_code_blocks() -> list[dict]: +def get_all_code_blocks(path: str) -> list[dict]: return [ {"id": f"{str(fpath)}-{block_num + 1}", "code": code_block} - for fpath in pathlib.Path("docs").glob("**/*.md") + for fpath in pathlib.Path("docs").glob(path) for block_num, code_block in enumerate(get_code_blocks(fpath.read_text())) ]