diff --git a/.github/workflows/docs.yaml b/.github/workflows/docs.yaml
index 8cc9876..4a78c81 100644
--- a/.github/workflows/docs.yaml
+++ b/.github/workflows/docs.yaml
@@ -41,5 +41,5 @@ jobs:
 
       - name: Deploy GitHub Pages
         run: |
-          pip install mkdocs-material mdx-include termynal
+          pip install 'mkdocs-material[imaging]' mdx-include termynal 'mkdocstrings[python]'
           mkdocs gh-deploy --force
diff --git a/README.md b/README.md
index 9d4aa1e..a81b80d 100644
--- a/README.md
+++ b/README.md
@@ -8,6 +8,7 @@
 [![Stars](https://img.shields.io/github/stars/ajndkr/lanarky)](https://github.com/ajndkr/lanarky/stargazers)
 [![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/ajndkr/lanarky/blob/main/LICENSE)
 [![Twitter](https://img.shields.io/twitter/follow/LanarkyAPI?style=social)](https://twitter.com/intent/follow?screen_name=LanarkyAPI)
+[![Discord](https://img.shields.io/badge/join-Discord-7289da.svg)](https://discord.gg/6qUfrQAEeE)
 
 [![Python](https://img.shields.io/pypi/pyversions/lanarky.svg)](https://pypi.org/project/lanarky/)
 [![Coverage](https://coveralls.io/repos/github/ajndkr/lanarky/badge.svg?branch=main)](https://coveralls.io/github/ajndkr/lanarky?branch=main)
diff --git a/docs/getting-started.md b/docs/getting-started.md
index 1d3348b..6b867f9 100644
--- a/docs/getting-started.md
+++ b/docs/getting-started.md
@@ -1,12 +1,14 @@
 ---
 hide:
   - navigation
+  - footer
 ---
 
 Let's build our first LLM microservice with Lanarky!
 
-We need to first install some extra dependencies as we will use OpenAI as the LLM
-provider.
+## Dependencies
+
+First, we will install Lanarky with the OpenAI adapter:
 
 <!-- termynal -->
 
diff --git a/docs/index.md b/docs/index.md
index 64ac0b3..8c36ac6 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -2,6 +2,7 @@
 hide:
   - navigation
   - toc
+  - footer
 ---
 
 <style>
diff --git a/docs/learn/adapters/langchain/fastapi.md b/docs/learn/adapters/langchain/fastapi.md
index f50c003..3c6e74f 100644
--- a/docs/learn/adapters/langchain/fastapi.md
+++ b/docs/learn/adapters/langchain/fastapi.md
@@ -64,7 +64,7 @@ async def chat(
 The `/chat` endpoint is similar to the one we created using `LangChainAPIRouter` in the
 [LangChain API Router](./router.md) guide. Besides the `StreamingResponse` class, we also use
 the `TokenStreamingCallbackHandler` callback handler to stream the intermediate tokens back to
-the client. Check out [Callbacks](../../callbacks.md) to learn more about the lanarky callback
+the client. Check out [Callbacks](./callbacks.md) to learn more about the lanarky callback
 handlers.
 
 !!! tip
diff --git a/docs/learn/adapters/langchain/router.md b/docs/learn/adapters/langchain/router.md
index 5c29cd2..826306d 100644
--- a/docs/learn/adapters/langchain/router.md
+++ b/docs/learn/adapters/langchain/router.md
@@ -44,6 +44,8 @@ to the router to build a streaming endpoint. The additional parameters such as
 To receive the events, we will use the following client script:
 
 ```python
+import json
+
 import click
 
 from lanarky.clients import StreamingClient
@@ -60,7 +62,7 @@ def main(input: str, stream: bool):
         params={"streaming": str(stream).lower()},
         json={"input": input},
     ):
-        print(f"{event.event}: {event.data}")
+        print(f"{event.event}: {json.loads(event.data)['token']}", end="", flush=True)
 
 
 if __name__ == "__main__":
@@ -81,7 +83,7 @@ Then run the client script:
 
 ```
 $ python client.py --input "hi"
-completion: {'token': 'Hello! How can I assist you today?'}
+completion: Hello! How can I assist you today?
 ```
 
 ## Websocket
@@ -116,6 +118,7 @@ function and send it to the router to build a websocket endpoint.
 To communicate with the server, we will use the following client script:
 
 ```python
+import json
 from lanarky.clients import WebSocketClient
 
 
@@ -127,7 +130,7 @@ def main():
             session.send(dict(input=user_input))
             print("Received: ", end="")
             for chunk in session.stream_response():
-                print(chunk["data"]["token"], end="", flush=True)
+                print(json.loads(chunk["data"])["token"], end="", flush=True)
 
 
 if __name__ == "__main__":
diff --git a/docs/learn/index.md b/docs/learn/index.md
index f898d19..57f939b 100644
--- a/docs/learn/index.md
+++ b/docs/learn/index.md
@@ -1,6 +1,7 @@
 ---
 hide:
   - toc
+  - footer
 ---
 
 # Learn
@@ -12,3 +13,12 @@ Here's a quick overview of what we will cover:
 - [Streaming](./streaming.md): build streaming microservices using FastAPI routers
 - [Websockets](./websockets.md): build websocket microservices using FastAPI routers
 - [Adapters](./adapters/index.md): build microservices using popular LLM frameworks
+
+## Examples
+
+Lanarky comes with a set of examples to demonstrate its features:
+
+- [ChatGPT-clone](https://github.com/ajndkr/lanarky/tree/main/examples/chatgpt-clone): a chatbot
+  application like [ChatGPT](https://chat.openai.com/)
+- [PaulGPT](https://github.com/ajndkr/lanarky/tree/main/examples/paulGPT): a chatbot application
+  to answer questions about Paul Graham essay, "[What I worked on](http://www.paulgraham.com/worked.html)"
diff --git a/docs/reference/adapters/langchain.md b/docs/reference/adapters/langchain.md
new file mode 100644
index 0000000..e4405b7
--- /dev/null
+++ b/docs/reference/adapters/langchain.md
@@ -0,0 +1,9 @@
+::: lanarky.adapters.langchain.routing
+
+::: lanarky.adapters.langchain.responses
+
+::: lanarky.adapters.langchain.callbacks
+
+::: lanarky.adapters.langchain.dependencies
+
+::: lanarky.adapters.langchain.utils
diff --git a/docs/reference/adapters/openai.md b/docs/reference/adapters/openai.md
new file mode 100644
index 0000000..ee559ce
--- /dev/null
+++ b/docs/reference/adapters/openai.md
@@ -0,0 +1,9 @@
+::: lanarky.adapters.openai.resources
+
+::: lanarky.adapters.openai.routing
+
+::: lanarky.adapters.openai.responses
+
+::: lanarky.adapters.openai.dependencies
+
+::: lanarky.adapters.openai.utils
diff --git a/docs/reference/index.md b/docs/reference/index.md
new file mode 100644
index 0000000..6f61dd0
--- /dev/null
+++ b/docs/reference/index.md
@@ -0,0 +1,30 @@
+---
+hide:
+  - toc
+  - footer
+---
+
+# API Reference
+
+This is Lanarky's API reference documentation.
+
+The API reference in split into multiple sections. First, we will cover the
+Core API:
+
+- [`Lanarky`](./lanarky.md) - The main application module
+- [`StreamingResponse`](./streaming.md) - `Response` class for streaming
+- [`WebSocketSession`](./websockets.md) - class for managing websocket sessions
+
+!!! note
+
+    Lanarky also provides a collection of web clients for testing purposes.
+    See [Miscellaneous](./misc.md) for more information.
+
+Next, we will cover the Adapter API:
+
+- [OpenAI](./adapters/openai.md): Adapter module for
+  [OpenAI Python SDK](https://platform.openai.com/docs/api-reference?lang=python)
+- [LangChain](./adapters/langchain.md): Adapter module for
+  [LangChain](https://www.langchain.com/)
+
+You can find all other utility functions/classes in the [Miscellaneous](./misc.md) section.
diff --git a/docs/reference/lanarky.md b/docs/reference/lanarky.md
new file mode 100644
index 0000000..ee34588
--- /dev/null
+++ b/docs/reference/lanarky.md
@@ -0,0 +1,5 @@
+# `Lanarky` class
+
+::: lanarky.Lanarky
+options:
+members: []
diff --git a/docs/reference/misc.md b/docs/reference/misc.md
new file mode 100644
index 0000000..b032f34
--- /dev/null
+++ b/docs/reference/misc.md
@@ -0,0 +1,5 @@
+Lanarky offers client classes to test streaming and websocket endpoints.
+
+::: lanarky.clients
+
+::: lanarky.logging
diff --git a/docs/reference/streaming.md b/docs/reference/streaming.md
new file mode 100644
index 0000000..bcebc63
--- /dev/null
+++ b/docs/reference/streaming.md
@@ -0,0 +1,3 @@
+# `StreamingResponse` class
+
+::: lanarky.responses.StreamingResponse
diff --git a/docs/reference/websockets.md b/docs/reference/websockets.md
new file mode 100644
index 0000000..ce7d783
--- /dev/null
+++ b/docs/reference/websockets.md
@@ -0,0 +1,3 @@
+# `WebsocketSession` class
+
+::: lanarky.websockets.WebsocketSession
diff --git a/examples/chatgpt-clone/README.md b/examples/chatgpt-clone/README.md
new file mode 100644
index 0000000..aa4648d
--- /dev/null
+++ b/examples/chatgpt-clone/README.md
@@ -0,0 +1,34 @@
+# ChatGPT-clone
+
+A chatbot application like [ChatGPT](https://chat.openai.com/), built with Lanarky.
+
+This example covers the following Lanarky features:
+
+- OpenAI Adapter
+- Streaming tokens via server-sent events
+
+To learn more about Lanarky, check out Lanarky's [full documentation](https://lanarky.ajndkr.com/learn/).
+
+## Setup
+
+Install dependencies:
+
+```
+pip install 'lanarky[openai]' gradio
+```
+
+## Run
+
+First we set the OpenAI API key:
+
+```sh
+export OPENAI_API_KEY=<your-key>
+```
+
+Then we run the server:
+
+```sh
+python app.py
+```
+
+Once the server is running, open http://localhost:8000/ in your browser.
diff --git a/examples/chatgpt-clone/app.py b/examples/chatgpt-clone/app.py
new file mode 100644
index 0000000..0c8a4bc
--- /dev/null
+++ b/examples/chatgpt-clone/app.py
@@ -0,0 +1,81 @@
+import gradio as gr
+
+from lanarky import Lanarky
+from lanarky.adapters.openai.resources import ChatCompletionResource
+from lanarky.adapters.openai.routing import OpenAIAPIRouter
+from lanarky.clients import StreamingClient
+
+app = Lanarky()
+router = OpenAIAPIRouter()
+
+
+@router.post("/chat")
+def chat() -> ChatCompletionResource:
+    system = "You are a sassy assistant"
+    return ChatCompletionResource(system=system, stream=True)
+
+
+app.include_router(router)
+
+
+def mount_playground(app: Lanarky) -> Lanarky:
+    blocks = gr.Blocks(
+        title="ChatGPT-clone",
+        theme=gr.themes.Default(
+            primary_hue=gr.themes.colors.teal, secondary_hue=gr.themes.colors.teal
+        ),
+        css="footer {visibility: hidden}",
+    )
+
+    with blocks:
+        blocks.load(
+            None,
+            None,
+            js="""
+            () => {
+            document.body.className = "white";
+        }""",
+        )
+        gr.HTML(
+            """<div align="center"><img src="https://lanarky.ajndkr.com/assets/logo-light-mode.png" width="350"></div>"""
+        )
+        chatbot = gr.Chatbot(height=500, show_label=False)
+        with gr.Row():
+            user_input = gr.Textbox(
+                show_label=False, placeholder="Type a message...", scale=5
+            )
+            clear_btn = gr.Button("Clear")
+
+        def chat(history):
+            messages = []
+            for human, assistant in history:
+                if human:
+                    messages.append({"role": "user", "content": human})
+                if assistant:
+                    messages.append({"role": "assistant", "content": assistant})
+
+            history[-1][1] = ""
+            for event in StreamingClient().stream_response(
+                "POST", "/chat", json={"messages": messages}
+            ):
+                history[-1][1] += event.data
+                yield history
+
+        user_input.submit(
+            lambda user_input, chatbot: ("", chatbot + [[user_input, None]]),
+            [user_input, chatbot],
+            [user_input, chatbot],
+            queue=False,
+        ).then(chat, chatbot, chatbot)
+        clear_btn.click(lambda: None, None, chatbot, queue=False)
+
+    return gr.mount_gradio_app(app, blocks.queue(), "/")
+
+
+app = mount_playground(app)
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app)
diff --git a/examples/paulGPT/README.md b/examples/paulGPT/README.md
new file mode 100644
index 0000000..574b366
--- /dev/null
+++ b/examples/paulGPT/README.md
@@ -0,0 +1,35 @@
+# PaulGPT
+
+A chatbot application to answer questions about Paul Graham essay, "[What I worked on](http://www.paulgraham.com/worked.html)",
+built with Lanarky.
+
+This example covers the following Lanarky features:
+
+- LangChain Adapter
+- Streaming source documents via server-sent events and websockets
+
+To learn more about Lanarky, check out Lanarky's [full documentation](https://lanarky.ajndkr.com/learn/).
+
+## Setup
+
+Install dependencies:
+
+```
+pip install 'lanarky[openai]' gradio faiss-cpu
+```
+
+## Run
+
+First we set the OpenAI API key:
+
+```sh
+export OPENAI_API_KEY=<your-key>
+```
+
+Then we run the server:
+
+```sh
+python app.py
+```
+
+Once the server is running, open http://localhost:8000/ in your browser.
diff --git a/examples/paulGPT/app.py b/examples/paulGPT/app.py
new file mode 100644
index 0000000..ab1f00a
--- /dev/null
+++ b/examples/paulGPT/app.py
@@ -0,0 +1,100 @@
+import json
+
+import gradio as gr
+from langchain.chains import RetrievalQA
+from langchain.chat_models import ChatOpenAI
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.vectorstores.faiss import FAISS
+
+from lanarky import Lanarky
+from lanarky.adapters.langchain.routing import LangchainAPIRouter
+from lanarky.clients import StreamingClient
+
+app = Lanarky()
+router = LangchainAPIRouter()
+
+
+@router.post("/chat")
+def chat() -> RetrievalQA:
+    db = FAISS.load_local("db/", OpenAIEmbeddings())
+    return RetrievalQA.from_chain_type(
+        ChatOpenAI(streaming=True),
+        retriever=db.as_retriever(search_kwargs={"k": 2}),
+        return_source_documents=True,
+    )
+
+
+app.include_router(router)
+
+
+SOURCE_DOCUMENT_TEMPLATE = """
+<details><summary><b>Source {idx}</b></summary>{page_content}</details>
+"""
+
+
+def mount_playground(app: Lanarky) -> Lanarky:
+    blocks = gr.Blocks(
+        title="paulGPT",
+        theme=gr.themes.Default(
+            primary_hue=gr.themes.colors.teal, secondary_hue=gr.themes.colors.teal
+        ),
+        css="footer {visibility: hidden}",
+    )
+
+    with blocks:
+        blocks.load(
+            None,
+            None,
+            js="""
+            () => {
+            document.body.className = "white";
+        }""",
+        )
+        gr.HTML(
+            """<div align="center"><img src="https://lanarky.ajndkr.com/assets/logo-light-mode.png" width="350"></div>"""
+        )
+        chatbot = gr.Chatbot(height=500, show_label=False)
+        with gr.Row():
+            user_input = gr.Textbox(
+                show_label=False, placeholder="Type a message...", scale=5
+            )
+            clear_btn = gr.Button("Clear")
+
+        def chat(history):
+            history[-1][1] = ""
+            for event in StreamingClient().stream_response(
+                "POST", "/chat", json={"query": history[-1][0]}
+            ):
+                if event.event == "completion":
+                    history[-1][1] += json.loads(event.data)["token"]
+                    yield history
+                elif event.event == "source_documents":
+                    for idx, document in enumerate(
+                        json.loads(event.data)["source_documents"]
+                    ):
+                        history[-1][1] += SOURCE_DOCUMENT_TEMPLATE.format(
+                            idx=idx,
+                            page_content=document["page_content"],
+                        )
+                        yield history
+                elif event.event == "error":
+                    raise gr.Error(event.data)
+
+        user_input.submit(
+            lambda user_input, chatbot: ("", chatbot + [[user_input, None]]),
+            [user_input, chatbot],
+            [user_input, chatbot],
+            queue=False,
+        ).then(chat, chatbot, chatbot)
+        clear_btn.click(lambda: None, None, chatbot, queue=False)
+
+    return gr.mount_gradio_app(app, blocks.queue(), "/")
+
+
+app = mount_playground(app)
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app)
diff --git a/examples/paulGPT/db/index.faiss b/examples/paulGPT/db/index.faiss
new file mode 100644
index 0000000..5c9c620
Binary files /dev/null and b/examples/paulGPT/db/index.faiss differ
diff --git a/examples/paulGPT/db/index.pkl b/examples/paulGPT/db/index.pkl
new file mode 100644
index 0000000..a9076e2
Binary files /dev/null and b/examples/paulGPT/db/index.pkl differ
diff --git a/lanarky/adapters/langchain/callbacks.py b/lanarky/adapters/langchain/callbacks.py
index 9df19b9..aed1cf8 100644
--- a/lanarky/adapters/langchain/callbacks.py
+++ b/lanarky/adapters/langchain/callbacks.py
@@ -21,7 +21,7 @@ class LangchainEvents(str, Enum):
 class LanarkyCallbackHandler(AsyncCallbackHandler):
     """Base callback handler for Lanarky applications."""
 
-    def __init__(self, **kwargs) -> None:
+    def __init__(self, **kwargs: dict[str, Any]) -> None:
         super().__init__(**kwargs)
         self.llm_cache_used = get_llm_cache() is not None
 
@@ -38,8 +38,14 @@ def __init__(
         self,
         *,
         send: Send = None,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            send: The ASGI send callable.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(**kwargs)
 
         self._send = send
@@ -56,10 +62,13 @@ def send(self, value: Send) -> None:
             raise ValueError("value must be a Callable")
         self._send = value
 
-    def _construct_message(
-        self, data: Union[str, dict[str, Any]], event: Optional[str] = None
-    ) -> Message:
-        """Constructs message payload"""
+    def _construct_message(self, data: str, event: Optional[str] = None) -> Message:
+        """Constructs message payload.
+
+        Args:
+            data: The data payload.
+            event: The event name.
+        """
         chunk = ServerSentEvent(data=data, event=event)
         return {
             "type": "http.response.body",
@@ -80,14 +89,19 @@ class TokenEventData(BaseModel):
 
 
 def get_token_data(token: str, mode: TokenStreamMode) -> Union[str, dict[str, Any]]:
-    """Get token data based on mode."""
+    """Get token data based on mode.
+
+    Args:
+        token: The token to use.
+        mode: The stream mode.
+    """
     if mode not in list(TokenStreamMode):
         raise ValueError(f"Invalid stream mode: {mode}")
 
     if mode == TokenStreamMode.TEXT:
         return token
     else:
-        return TokenEventData(token=token).model_dump()
+        return TokenEventData(token=token).model_dump_json()
 
 
 class TokenStreamingCallbackHandler(StreamingCallbackHandler):
@@ -98,8 +112,15 @@ def __init__(
         *,
         output_key: str,
         mode: TokenStreamMode = TokenStreamMode.JSON,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            output_key: chain output key.
+            mode: The stream mode.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(**kwargs)
 
         self.output_key = output_key
@@ -108,11 +129,11 @@ def __init__(
             raise ValueError(f"Invalid stream mode: {mode}")
         self.mode = mode
 
-    async def on_chain_start(self, *args, **kwargs: Any) -> None:
+    async def on_chain_start(self, *args: Any, **kwargs: dict[str, Any]) -> None:
         """Run when chain starts running."""
         self.streaming = False
 
-    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+    async def on_llm_new_token(self, token: str, **kwargs: dict[str, Any]) -> None:
         """Run on new LLM token. Only available when streaming is enabled."""
         if not self.streaming:
             self.streaming = True
@@ -125,7 +146,9 @@ async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
         )
         await self.send(message)
 
-    async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
+    async def on_chain_end(
+        self, outputs: dict[str, Any], **kwargs: dict[str, Any]
+    ) -> None:
         """Run when chain ends running.
 
         Final output is streamed only if LLM cache is enabled.
@@ -150,7 +173,9 @@ class SourceDocumentsEventData(BaseModel):
 class SourceDocumentsStreamingCallbackHandler(StreamingCallbackHandler):
     """Callback handler for streaming source documents."""
 
-    async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
+    async def on_chain_end(
+        self, outputs: dict[str, Any], **kwargs: dict[str, Any]
+    ) -> None:
         """Run when chain ends running."""
         if "source_documents" in outputs:
             if not isinstance(outputs["source_documents"], list):
@@ -165,7 +190,7 @@ async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
             message = self._construct_message(
                 data=SourceDocumentsEventData(
                     source_documents=source_documents
-                ).model_dump(),
+                ).model_dump_json(),
                 event=LangchainEvents.SOURCE_DOCUMENTS,
             )
             await self.send(message)
@@ -185,8 +210,16 @@ def __init__(
         answer_prefix_tokens: Optional[list[str]] = None,
         strip_tokens: bool = True,
         stream_prefix: bool = False,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            answer_prefix_tokens: The answer prefix tokens to use.
+            strip_tokens: Whether to strip tokens.
+            stream_prefix: Whether to stream the answer prefix.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(output_key=None, **kwargs)
 
         FinalStreamingStdOutCallbackHandler.__init__(
@@ -196,11 +229,12 @@ def __init__(
             stream_prefix=stream_prefix,
         )
 
-    async def on_llm_start(self, *args, **kwargs) -> None:
+    async def on_llm_start(self, *args: Any, **kwargs: dict[str, Any]) -> None:
+        """Run when LLM starts running."""
         self.answer_reached = False
         self.streaming = False
 
-    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+    async def on_llm_new_token(self, token: str, **kwargs: dict[str, Any]) -> None:
         """Run on new LLM token. Only available when streaming is enabled."""
         if not self.streaming:
             self.streaming = True
@@ -234,8 +268,15 @@ def __init__(
         *,
         mode: TokenStreamMode = TokenStreamMode.JSON,
         websocket: WebSocket = None,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            mode: The stream mode.
+            websocket: The websocket to use.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(**kwargs)
 
         if mode not in list(TokenStreamMode):
@@ -256,26 +297,35 @@ def websocket(self, value: WebSocket) -> None:
             raise ValueError("value must be a WebSocket")
         self._websocket = value
 
-    def _construct_message(
-        self, data: Union[str, dict[str, Any]], event: Optional[str] = None
-    ) -> Message:
-        """Constructs message payload"""
+    def _construct_message(self, data: str, event: Optional[str] = None) -> Message:
+        """Constructs message payload.
+
+        Args:
+            data: The data payload.
+            event: The event name.
+        """
         return dict(data=data, event=event)
 
 
 class TokenWebSocketCallbackHandler(WebSocketCallbackHandler):
     """Callback handler for sending tokens in websocket sessions."""
 
-    def __init__(self, *, output_key: str, **kwargs) -> None:
+    def __init__(self, *, output_key: str, **kwargs: dict[str, Any]) -> None:
+        """Constructor method.
+
+        Args:
+            output_key: chain output key.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(**kwargs)
 
         self.output_key = output_key
 
-    async def on_chain_start(self, *args, **kwargs: Any) -> None:
+    async def on_chain_start(self, *args: Any, **kwargs: dict[str, Any]) -> None:
         """Run when chain starts running."""
         self.streaming = False
 
-    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+    async def on_llm_new_token(self, token: str, **kwargs: dict[str, Any]) -> None:
         """Run on new LLM token. Only available when streaming is enabled."""
         if not self.streaming:
             self.streaming = True
@@ -288,7 +338,9 @@ async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
         )
         await self.websocket.send_json(message)
 
-    async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
+    async def on_chain_end(
+        self, outputs: dict[str, Any], **kwargs: dict[str, Any]
+    ) -> None:
         """Run when chain ends running.
 
         Final output is streamed only if LLM cache is enabled.
@@ -307,7 +359,9 @@ async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
 class SourceDocumentsWebSocketCallbackHandler(WebSocketCallbackHandler):
     """Callback handler for sending source documents in websocket sessions."""
 
-    async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
+    async def on_chain_end(
+        self, outputs: dict[str, Any], **kwargs: dict[str, Any]
+    ) -> None:
         """Run when chain ends running."""
         if "source_documents" in outputs:
             if not isinstance(outputs["source_documents"], list):
@@ -322,7 +376,7 @@ async def on_chain_end(self, outputs: dict[str, Any], **kwargs: Any) -> None:
             message = self._construct_message(
                 data=SourceDocumentsEventData(
                     source_documents=source_documents
-                ).model_dump(),
+                ).model_dump_json(),
                 event=LangchainEvents.SOURCE_DOCUMENTS,
             )
             await self.websocket.send_json(message)
@@ -342,8 +396,16 @@ def __init__(
         answer_prefix_tokens: Optional[list[str]] = None,
         strip_tokens: bool = True,
         stream_prefix: bool = False,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            answer_prefix_tokens: The answer prefix tokens to use.
+            strip_tokens: Whether to strip tokens.
+            stream_prefix: Whether to stream the answer prefix.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(output_key=None, **kwargs)
 
         FinalStreamingStdOutCallbackHandler.__init__(
@@ -354,10 +416,11 @@ def __init__(
         )
 
     async def on_llm_start(self, *args, **kwargs) -> None:
+        """Run when LLM starts running."""
         self.answer_reached = False
         self.streaming = False
 
-    async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
+    async def on_llm_new_token(self, token: str, **kwargs: dict[str, Any]) -> None:
         """Run on new LLM token. Only available when streaming is enabled."""
         if not self.streaming:
             self.streaming = True
diff --git a/lanarky/adapters/langchain/dependencies.py b/lanarky/adapters/langchain/dependencies.py
index 8a01db9..24818b4 100644
--- a/lanarky/adapters/langchain/dependencies.py
+++ b/lanarky/adapters/langchain/dependencies.py
@@ -12,12 +12,12 @@ def Depends(
     dependency_kwargs: dict[str, Any] = {},
     use_cache: bool = True
 ) -> params.Depends:
-    """Dependency injection for langchain.
+    """Dependency injection for LangChain.
 
     Args:
         dependency: a "dependable" chain factory callable.
         dependency_kwargs: kwargs to pass to chain dependency.
-        use_cache: use_cache parameter of ``fastapi.Depends``.
+        use_cache: use_cache parameter of `fastapi.Depends`.
     """
     try:
         chain = dependency()
diff --git a/lanarky/adapters/langchain/responses.py b/lanarky/adapters/langchain/responses.py
index a593029..d8e42b6 100644
--- a/lanarky/adapters/langchain/responses.py
+++ b/lanarky/adapters/langchain/responses.py
@@ -11,19 +11,37 @@
 
 
 class StreamingResponse(_StreamingResponse):
+    """StreamingResponse class for LangChain resources."""
+
     def __init__(
         self,
         chain: Chain,
         config: dict[str, Any],
-        *args,
-        **kwargs,
+        *args: Any,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            chain: A LangChain instance.
+            config: A config dict.
+            *args: Positional arguments to pass to the parent constructor.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(*args, **kwargs)
 
         self.chain = chain
         self.config = config
 
     async def stream_response(self, send: Send) -> None:
+        """Stream LangChain outputs.
+
+        If an exception occurs while iterating over the LangChain, an
+        internal server error is sent to the client.
+
+        Args:
+            send: The ASGI send callable.
+        """
         await send(
             {
                 "type": "http.response.start",
diff --git a/lanarky/adapters/langchain/routing.py b/lanarky/adapters/langchain/routing.py
index ec3a8d1..83ab8a1 100644
--- a/lanarky/adapters/langchain/routing.py
+++ b/lanarky/adapters/langchain/routing.py
@@ -9,14 +9,24 @@
 
 
 class LangchainAPIRoute(APIRoute):
+    """APIRoute class for LangChain."""
+
     def __init__(
         self,
         path: str,
         endpoint: Callable[..., Any],
         *,
         response_model: Any = Default(None),
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            path: The path for the route.
+            endpoint: The endpoint to call when the route is requested.
+            response_model: The response model to use for the route.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         # NOTE: LangchainAPIRoute is initialised again when
         # router is included in app. This is a hack to
         # build the factory endpoint only once.
@@ -30,14 +40,24 @@ def __init__(
 
 
 class LangchainAPIWebSocketRoute(APIWebSocketRoute):
+    """APIWebSocketRoute class for LangChain."""
+
     def __init__(
         self,
         path: str,
         endpoint: Callable[..., Any],
         *,
         name: Optional[str] = None,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            path: The path for the route.
+            endpoint: The endpoint to call when the route is requested.
+            name: The name of the route.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(path, endpoint, name=name, **kwargs)
         # NOTE: LangchainAPIRoute is initialised again when
         # router is included in app. This is a hack to
@@ -50,6 +70,8 @@ def __init__(
 
 
 class LangchainAPIRouter(APIRouter):
+    """APIRouter class for LangChain."""
+
     def __init__(self, *, route_class: type[APIRoute] = LangchainAPIRoute, **kwargs):
         super().__init__(route_class=route_class, **kwargs)
 
diff --git a/lanarky/adapters/langchain/utils.py b/lanarky/adapters/langchain/utils.py
index 1347373..52ca150 100644
--- a/lanarky/adapters/langchain/utils.py
+++ b/lanarky/adapters/langchain/utils.py
@@ -25,6 +25,12 @@
 def build_factory_api_endpoint(
     path: str, endpoint: Callable[..., Any]
 ) -> Callable[..., Awaitable[Any]]:
+    """Build a factory endpoint for API routes.
+
+    Args:
+        path: The path for the route.
+        endpoint: LangChain instance factory function.
+    """
     chain = compile_chain_factory(endpoint)
 
     # index 1 of `compile_path` contains path_format output
@@ -46,6 +52,12 @@ async def factory_endpoint(
 def build_factory_websocket_endpoint(
     path: str, endpoint: Callable[..., Any]
 ) -> Callable[..., Awaitable[Any]]:
+    """Build a factory endpoint for WebSocket routes.
+
+    Args:
+        path: The path for the route.
+        endpoint: LangChain instance factory function.
+    """
     chain = compile_chain_factory(endpoint)
 
     # index 1 of `compile_path` contains path_format output
@@ -80,7 +92,12 @@ async def factory_endpoint(websocket: WebSocket, chain: Chain = Depends(endpoint
     return factory_endpoint
 
 
-def compile_chain_factory(endpoint):
+def compile_chain_factory(endpoint: Callable[..., Any]):
+    """Compile a LangChain instance factory function.
+
+    Args:
+        endpoint: LangChain instance factory function.
+    """
     try:
         chain = endpoint()
     except TypeError:
@@ -92,6 +109,12 @@ def compile_chain_factory(endpoint):
 
 
 def create_request_model(chain: Chain, prefix: str = "") -> BaseModel:
+    """Create a pydantic request model for a LangChain instance.
+
+    Args:
+        chain: A LangChain instance.
+        prefix: A prefix for the model name.
+    """
     request_fields = {}
 
     for key in chain.input_keys:
@@ -108,6 +131,12 @@ def create_request_model(chain: Chain, prefix: str = "") -> BaseModel:
 
 
 def create_response_model(chain: Chain, prefix: str = None) -> BaseModel:
+    """Create a pydantic response model for a LangChain instance.
+
+    Args:
+        chain: A LangChain instance.
+        prefix: A prefix for the model name.
+    """
     response_fields = {}
 
     for key in chain.output_keys:
@@ -124,6 +153,12 @@ def create_response_model(chain: Chain, prefix: str = None) -> BaseModel:
 
 
 def compile_model_prefix(path: str, chain: Chain) -> str:
+    """Compile a prefix for pydantic models.
+
+    Args:
+        path: The path for the route.
+        chain: A LangChain instance.
+    """
     # Remove placeholders like '{item}' using regex
     path_wo_params = re.sub(r"\{.*?\}", "", path)
     path_prefix = "".join([part.capitalize() for part in path_wo_params.split("/")])
@@ -134,6 +169,15 @@ def compile_model_prefix(path: str, chain: Chain) -> str:
 
 
 def get_streaming_callbacks(chain: Chain) -> list[Callable]:
+    """Get streaming callbacks for a LangChain instance.
+
+    Note: This function might not support all LangChain
+    chain and agent types. Please open an issue on GitHub to
+    request support for a specific type.
+
+    Args:
+        chain: A LangChain instance.
+    """
     callbacks = []
 
     if "source_documents" in chain.output_keys:
@@ -160,6 +204,16 @@ def get_streaming_callbacks(chain: Chain) -> list[Callable]:
 
 
 def get_websocket_callbacks(chain: Chain, websocket: WebSocket) -> list[Callable]:
+    """Get websocket callbacks for a LangChain instance.
+
+    Note: This function might not support all LangChain
+    chain and agent types. Please open an issue on GitHub to
+    request support for a specific type.
+
+    Args:
+        chain: A LangChain instance.
+        websocket: A WebSocket instance.
+    """
     callbacks = []
 
     if "source_documents" in chain.output_keys:
diff --git a/lanarky/adapters/openai/dependencies.py b/lanarky/adapters/openai/dependencies.py
index a456a21..7663272 100644
--- a/lanarky/adapters/openai/dependencies.py
+++ b/lanarky/adapters/openai/dependencies.py
@@ -12,12 +12,12 @@ def Depends(
     dependency_kwargs: dict[str, Any] = {},
     use_cache: bool = True
 ) -> params.Depends:
-    """Dependency injection for openai.
+    """Dependency injection for OpenAI.
 
     Args:
         dependency: a "dependable" resource factory callable.
         dependency_kwargs: kwargs to pass to resource dependency.
-        use_cache: use_cache parameter of ``fastapi.Depends``.
+        use_cache: use_cache parameter of `fastapi.Depends`.
     """
     try:
         resource = dependency()
diff --git a/lanarky/adapters/openai/resources.py b/lanarky/adapters/openai/resources.py
index 313eefb..5e322d1 100644
--- a/lanarky/adapters/openai/resources.py
+++ b/lanarky/adapters/openai/resources.py
@@ -1,5 +1,5 @@
 from abc import abstractmethod
-from typing import Generator
+from typing import Any, Generator
 
 from openai import AsyncOpenAI
 from openai.types.chat import ChatCompletion, ChatCompletionChunk
@@ -17,15 +17,21 @@ class SystemMessage(BaseModel):
 
 
 class OpenAIResource:
+    """Base class for OpenAI resources."""
+
     def __init__(self, client: AsyncOpenAI = None):
         self._client = client or AsyncOpenAI()
 
     @abstractmethod
-    async def stream_response(self, *args, **kwargs) -> Generator[str, None, None]:
+    async def stream_response(
+        self, *args: Any, **kwargs: dict[str, Any]
+    ) -> Generator[str, None, None]:
         ...
 
 
 class ChatCompletionResource(OpenAIResource):
+    """OpenAIResource class for chat completions."""
+
     def __init__(
         self,
         *,
@@ -33,8 +39,17 @@ def __init__(
         model: str = "gpt-3.5-turbo",
         stream: bool = False,
         system: str = None,
-        **create_kwargs,
+        **create_kwargs: dict[str, Any],
     ):
+        """Constructor method.
+
+        Args:
+            client: An AsyncOpenAI instance.
+            model: The model to use for completions.
+            stream: Whether to stream completions.
+            system: A system message to prepend to the messages.
+            **create_kwargs: Keyword arguments to pass to the `chat.completions.create` method.
+        """
         super().__init__(client=client)
 
         self.model = model
@@ -43,6 +58,15 @@ def __init__(
         self.create_kwargs = create_kwargs
 
     async def stream_response(self, messages: list[dict]) -> Generator[str, None, None]:
+        """Stream chat completions.
+
+        If `stream` attribute is False, the generator will yield only one completion.
+        Otherwise, it will yield chunk completions.
+
+        Args:
+            messages: A list of messages to use for the completion.
+                message format: {"role": "user", "content": "Hello, world!"}
+        """
         messages = self._prepare_messages(messages)
         data = await self._client.chat.completions.create(
             messages=messages,
@@ -63,6 +87,15 @@ async def stream_response(self, messages: list[dict]) -> Generator[str, None, No
             yield data.choices[0].message.content
 
     async def __call__(self, messages: list[dict]) -> ChatCompletion:
+        """Create a chat completion.
+
+        Args:
+            messages: A list of messages to use for the completion.
+                message format: {"role": "user", "content": "Hello, world!"}
+
+        Returns:
+            A ChatCompletion instance.
+        """
         messages = self._prepare_messages(messages)
         return await self._client.chat.completions.create(
             messages=messages,
diff --git a/lanarky/adapters/openai/responses.py b/lanarky/adapters/openai/responses.py
index 5ddd647..4aec174 100644
--- a/lanarky/adapters/openai/responses.py
+++ b/lanarky/adapters/openai/responses.py
@@ -1,3 +1,5 @@
+from typing import Any
+
 from fastapi import status
 from starlette.types import Send
 
@@ -11,19 +13,37 @@
 
 
 class StreamingResponse(_StreamingResponse):
+    """StreamingResponse class for OpenAI resources."""
+
     def __init__(
         self,
         resource: OpenAIResource,
         messages: list[Message],
-        *args,
-        **kwargs,
+        *args: Any,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            resource: An OpenAIResource instance.
+            messages: A list of `Message` instances.
+            *args: Positional arguments to pass to the parent constructor.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(*args, **kwargs)
 
         self.resource = resource
         self.messages = messages
 
     async def stream_response(self, send: Send) -> None:
+        """Stream chat completions.
+
+        If an exception occurs while iterating over the OpenAI resource, an
+        internal server error is sent to the client.
+
+        Args:
+            send: The ASGI send callable.
+        """
         await send(
             {
                 "type": "http.response.start",
diff --git a/lanarky/adapters/openai/routing.py b/lanarky/adapters/openai/routing.py
index 0966c9c..579fc56 100644
--- a/lanarky/adapters/openai/routing.py
+++ b/lanarky/adapters/openai/routing.py
@@ -9,14 +9,24 @@
 
 
 class OpenAIAPIRoute(APIRoute):
+    """APIRoute class for OpenAI resources."""
+
     def __init__(
         self,
         path: str,
         endpoint: Callable[..., Any],
         *,
         response_model: Any = Default(None),
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            path: The path for the route.
+            endpoint: The endpoint to call when the route is requested.
+            response_model: The response model to use for the route.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         # NOTE: OpenAIAPIRoute is initialised again when
         # router is included in app. This is a hack to
         # build the factory endpoint only once.
@@ -30,14 +40,24 @@ def __init__(
 
 
 class OpenAIAPIWebSocketRoute(APIWebSocketRoute):
+    """APIWebSocketRoute class for OpenAI resources."""
+
     def __init__(
         self,
         path: str,
         endpoint: Callable[..., Any],
         *,
         name: Optional[str] = None,
-        **kwargs,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            path: The path for the route.
+            endpoint: The endpoint to call when the route is requested.
+            name: The name of the route.
+            **kwargs: Keyword arguments to pass to the parent constructor.
+        """
         super().__init__(path, endpoint, name=name, **kwargs)
         # NOTE: OpenAIAPIRoute is initialised again when
         # router is included in app. This is a hack to
@@ -50,7 +70,11 @@ def __init__(
 
 
 class OpenAIAPIRouter(APIRouter):
-    def __init__(self, *, route_class: type[APIRoute] = OpenAIAPIRoute, **kwargs):
+    """APIRouter class for OpenAI resources."""
+
+    def __init__(
+        self, *, route_class: type[APIRoute] = OpenAIAPIRoute, **kwargs: dict[str, Any]
+    ):
         super().__init__(route_class=route_class, **kwargs)
 
     def add_api_websocket_route(
diff --git a/lanarky/adapters/openai/utils.py b/lanarky/adapters/openai/utils.py
index 162d34d..8d2c906 100644
--- a/lanarky/adapters/openai/utils.py
+++ b/lanarky/adapters/openai/utils.py
@@ -16,6 +16,12 @@
 def build_factory_api_endpoint(
     path: str, endpoint: Callable[..., Any]
 ) -> Callable[..., Awaitable[Any]]:
+    """Build a factory endpoint for API routes.
+
+    Args:
+        path: The path for the route.
+        endpoint: openai resource factory function.
+    """
     resource = compile_openai_resource_factory(endpoint)
 
     # index 1 of `compile_path` contains path_format output
@@ -33,6 +39,12 @@ async def factory_endpoint(
 def build_factory_websocket_endpoint(
     path: str, endpoint: Callable[..., Any]
 ) -> Callable[..., Awaitable[Any]]:
+    """Build a factory endpoint for WebSocket routes.
+
+    Args:
+        path: The path for the route.
+        endpoint: openai resource factory function.
+    """
     resource = compile_openai_resource_factory(endpoint)
 
     # index 1 of `compile_path` contains path_format output
@@ -70,7 +82,15 @@ async def factory_endpoint(
     return factory_endpoint
 
 
-def compile_openai_resource_factory(endpoint):
+def compile_openai_resource_factory(endpoint: Callable[..., Any]) -> OpenAIResource:
+    """Compile an OpenAI resource factory function.
+
+    Args:
+        endpoint: openai resource factory function.
+
+    Returns:
+        An OpenAIResource instance.
+    """
     try:
         resource = endpoint()
     except TypeError:
@@ -82,6 +102,12 @@ def compile_openai_resource_factory(endpoint):
 
 
 def compile_model_prefix(path: str, resource: OpenAIResource) -> str:
+    """Compile a prefix for pydantic models.
+
+    Args:
+        path: The path for the route.
+        resource: An OpenAIResource instance.
+    """
     # Remove placeholders like '{item}' using regex
     path_wo_params = re.sub(r"\{.*?\}", "", path)
     path_prefix = "".join([part.capitalize() for part in path_wo_params.split("/")])
@@ -97,6 +123,10 @@ def create_request_model(
     """Create a pydantic model for incoming requests.
 
     Note: Support limited to ChatCompletion resource.
+
+    Args:
+        resource: An OpenAIResource instance.
+        prefix: A prefix for the model name.
     """
     if not isinstance(resource, ChatCompletionResource):
         raise TypeError("resource must be a ChatCompletion instance")
@@ -114,6 +144,10 @@ def create_response_model(
     """Create a pydantic model for responses.
 
     Note: Support limited to ChatCompletion resource.
+
+    Args:
+        resource: An OpenAIResource instance.
+        prefix: A prefix for the model name.
     """
     if not isinstance(resource, ChatCompletionResource):
         raise TypeError("resource must be a ChatCompletion instance")
diff --git a/lanarky/applications.py b/lanarky/applications.py
index ac6d17e..6c819dd 100644
--- a/lanarky/applications.py
+++ b/lanarky/applications.py
@@ -13,14 +13,26 @@
 class Lanarky(FastAPI):
     """The main application class.
 
-    To know more about the FastAPI parameters, read the FastAPI documentation:
-    https://fastapi.tiangolo.com/reference/fastapi/
+    To know more about the FastAPI parameters, read the
+    [FastAPI documentation](https://fastapi.tiangolo.com/reference/fastapi/).
     """
 
-    def __init__(self: AppType, *, title: str = "Lanarky", **kwargs: Any) -> None:
+    def __init__(
+        self: AppType, *, title: str = "Lanarky", **kwargs: dict[str, Any]
+    ) -> None:
+        """Constructor method.
+
+        Args:
+            title: The title of the application.
+            **kwargs: Additional arguments to pass to the FastAPI constructor.
+        """
         super().__init__(title=title, **kwargs)
 
     def setup(self) -> None:  # pragma: no cover
+        """Setup the application.
+
+        Overrides the `setup` method of the FastAPI class.
+        """
         if self.openapi_url:
             urls = (server_data.get("url") for server_data in self.servers)
             server_urls = {url for url in urls if url}
diff --git a/lanarky/clients.py b/lanarky/clients.py
index e6b1d72..01cba22 100644
--- a/lanarky/clients.py
+++ b/lanarky/clients.py
@@ -1,24 +1,41 @@
 import json
 from contextlib import contextmanager
-from typing import Any, Generator, Optional
+from typing import Any, Iterator, Optional
 
 import httpx
-from httpx_sse import connect_sse
+from httpx_sse import ServerSentEvent, connect_sse
 from websockets.sync.client import connect as websocket_connect
 
 from lanarky.websockets import DataMode
 
 
 class StreamingClient:
+    """Test client for streaming server-sent events."""
+
     def __init__(
         self,
         base_url: str = "http://localhost:8000",
         client: Optional[httpx.Client] = None,
     ):
+        """Constructor method.
+
+        Args:
+            base_url: The base URL of the server.
+            client: The HTTP client to use.
+        """
         self.base_url = base_url
         self.client = client or httpx.Client()
 
-    def stream_response(self, method: str, path: str, **kwargs) -> Generator:
+    def stream_response(
+        self, method: str, path: str, **kwargs: dict[str, Any]
+    ) -> Iterator[ServerSentEvent]:
+        """Stream data from the server.
+
+        Args:
+            method: The HTTP method to use.
+            path: The path to stream from.
+            **kwargs: The keyword arguments to pass to the HTTP client.
+        """
         url = self.base_url + path
         with connect_sse(self.client, method, url, **kwargs) as event_source:
             for sse in event_source.iter_sse():
@@ -26,21 +43,38 @@ def stream_response(self, method: str, path: str, **kwargs) -> Generator:
 
 
 class WebSocketClient:
+    """Test client for WebSockets.
+
+    Supports 3 data modes: JSON, TEXT, and BYTES.
+    """
+
     def __init__(
         self, uri: str = "ws://localhost:8000/ws", mode: DataMode = DataMode.JSON
     ):
+        """Constructor method.
+
+        Args:
+            uri: The URI of the websocket.
+            mode: The data mode to use.
+        """
         self.uri = uri
         self.mode = mode
         self.websocket = None
 
     @contextmanager
     def connect(self):
+        """Connect to a websocket and yield data from it."""
         with websocket_connect(self.uri) as websocket:
             self.websocket = websocket
             yield self
             self.websocket = None
 
     def send(self, message: Any):
+        """Send data to the websocket.
+
+        Args:
+            message: The data to send.
+        """
         if self.websocket:
             if self.mode == DataMode.JSON:
                 message = json.dumps(message)
@@ -51,6 +85,11 @@ def send(self, message: Any):
             self.websocket.send(message)
 
     def receive(self, mode: DataMode = None):
+        """Receive data from the websocket.
+
+        Args:
+            mode: The data mode to use.
+        """
         mode = mode or self.mode
         if self.websocket:
             response = self.websocket.recv()
@@ -63,6 +102,11 @@ def receive(self, mode: DataMode = None):
             return response
 
     def stream_response(self):
+        """Stream data from the websocket.
+
+        Streaming stops until the websocket is closed or
+        the `end` event is received.
+        """
         if self.websocket:
             while True:
                 response = self.receive(mode=DataMode.JSON)
diff --git a/lanarky/logging.py b/lanarky/logging.py
index a1fba6f..6d7db0b 100644
--- a/lanarky/logging.py
+++ b/lanarky/logging.py
@@ -4,7 +4,17 @@
 import loguru
 
 
-def get_logger(handler: Any = sys.stderr, **kwargs):
+def get_logger(handler: Any = sys.stderr, **kwargs: dict[str, Any]) -> Any:
+    """Get a logger instance.
+
+    Lanarky uses `loguru` for logging.
+
+    Args:
+        handler: The handler to use for the logger.
+
+    Returns:
+        A loguru logger instance.
+    """
     logger = loguru.logger
     logger.remove()
     logger.add(handler, **kwargs)
diff --git a/lanarky/responses.py b/lanarky/responses.py
index 9e12844..c383935 100644
--- a/lanarky/responses.py
+++ b/lanarky/responses.py
@@ -14,21 +14,34 @@ class HTTPStatusDetail(str, Enum):
 
 
 class StreamingResponse(EventSourceResponse):
-    """Base class for all streaming responses.
+    """`Response` class for streaming server-sent events.
 
-    ``StreamingResponse`` follows the EventSource protocol:
-    https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events#interfaces
+    Follows the
+    [EventSource protocol](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events#interfaces)
     """
 
     def __init__(
         self,
         content: Any = iter(()),
-        *args,
-        **kwargs,
+        *args: Any,
+        **kwargs: dict[str, Any],
     ) -> None:
+        """Constructor method.
+
+        Args:
+            content: The content to stream.
+        """
         super().__init__(content=content, *args, **kwargs)
 
     async def stream_response(self, send: Send) -> None:
+        """Streams data chunks to client by iterating over `content`.
+
+        If an exception occurs while iterating over `content`, an
+        internal server error is sent to the client.
+
+        Args:
+            send: The send function from the ASGI framework.
+        """
         await send(
             {
                 "type": "http.response.start",
diff --git a/lanarky/websockets.py b/lanarky/websockets.py
index cdf03fd..27e0d68 100644
--- a/lanarky/websockets.py
+++ b/lanarky/websockets.py
@@ -1,5 +1,6 @@
 from contextlib import asynccontextmanager
 from enum import Enum
+from typing import Generator
 
 from fastapi.websockets import WebSocket, WebSocketDisconnect
 
@@ -13,8 +14,27 @@ class DataMode(str, Enum):
 
 
 class WebsocketSession:
+    """Class to handle websocket connections.
+
+    Supports 3 data modes: JSON, TEXT, and BYTES.
+
+    To know more about WebSockets, read the
+    [FastAPI documentation](https://fastapi.tiangolo.com/advanced/websockets/).
+    """
+
     @asynccontextmanager
-    async def connect(self, websocket: WebSocket, mode: DataMode = DataMode.JSON):
+    async def connect(
+        self, websocket: WebSocket, mode: DataMode = DataMode.JSON
+    ) -> Generator:
+        """Connect to a websocket and yield data from it.
+
+        Args:
+            websocket: The websocket to connect to.
+            mode: The data mode to use. Defaults to DataMode.JSON.
+
+        Yields:
+            Any: data from client side.
+        """
         await websocket.accept()
         try:
             if mode == DataMode.JSON:
diff --git a/mkdocs.yml b/mkdocs.yml
index 667e19c..5847098 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -67,6 +67,15 @@ nav:
               - Advanced:
                   - Dependency Injection: learn/adapters/langchain/dependency.md
                   - FastAPI Backport: learn/adapters/langchain/fastapi.md
+  - API Reference:
+      - reference/index.md
+      - Lanarky: reference/lanarky.md
+      - Streaming: reference/streaming.md
+      - WebSockets: reference/websockets.md
+      - Adapters:
+          - OpenAI: reference/adapters/openai.md
+          - LangChain: reference/adapters/langchain.md
+      - Miscellaneous: reference/misc.md
 
 markdown_extensions:
   - attr_list
@@ -92,9 +101,23 @@ extra:
       link: https://pypi.org/project/lanarky/
     - icon: fontawesome/brands/twitter
       link: https://twitter.com/LanarkyAPI
+    - icon: fontawesome/brands/discord
+      link: https://discord.gg/6qUfrQAEeE
 
 extra_css:
   - stylesheets/extra.css
 
 plugins:
+  - social
   - termynal
+  - mkdocstrings:
+      handlers:
+        python:
+          options:
+            show_root_heading: false
+            inherited_members: true
+            members_order: source
+            separate_signature: true
+            filters: ["!^_"]
+            merge_init_into_class: true
+            show_source: false
diff --git a/poetry.lock b/poetry.lock
index 0cfe9b8..8ca9360 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,88 +1,99 @@
 # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
+[[package]]
+name = "aiofiles"
+version = "23.2.1"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
+    {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
+]
+
 [[package]]
 name = "aiohttp"
-version = "3.9.0"
+version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -110,6 +121,30 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
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+description = "Vega-Altair: A declarative statistical visualization library for Python."
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+
+[package.dependencies]
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+jsonschema = ">=3.0"
+numpy = "*"
+packaging = "*"
+pandas = ">=0.25"
+toolz = "*"
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
+
+[package.extras]
+dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
+doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
+
 [[package]]
 name = "annotated-types"
 version = "0.6.0"
@@ -186,7 +221,7 @@ files = [
 name = "attrs"
 version = "23.1.0"
 description = "Classes Without Boilerplate"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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@@ -214,6 +249,47 @@ files = [
 [package.extras]
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+[[package]]
+name = "cairocffi"
+version = "1.6.1"
+description = "cffi-based cairo bindings for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
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+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "numpy", "pikepdf", "pytest"]
+xcb = ["xcffib (>=1.4.0)"]
+
+[[package]]
+name = "cairosvg"
+version = "2.7.1"
+description = "A Simple SVG Converter based on Cairo"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
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+[package.dependencies]
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+cssselect2 = "*"
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+pillow = "*"
+tinycss2 = "*"
+
+[package.extras]
+doc = ["sphinx", "sphinx-rtd-theme"]
+test = ["flake8", "isort", "pytest"]
+
 [[package]]
 name = "certifi"
 version = "2023.11.17"
@@ -441,6 +517,69 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
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+description = "Python library for calculating contours of 2D quadrilateral grids"
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+python-versions = ">=3.9"
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+]
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+[package.dependencies]
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+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "coverage"
 version = "6.5.0"
@@ -525,6 +664,40 @@ requests = ">=1.0.0"
 [package.extras]
 yaml = ["PyYAML (>=3.10)"]
 
+[[package]]
+name = "cssselect2"
+version = "0.7.0"
+description = "CSS selectors for Python ElementTree"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "cssselect2-0.7.0.tar.gz", hash = "sha256:1ccd984dab89fc68955043aca4e1b03e0cf29cad9880f6e28e3ba7a74b14aa5a"},
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+
+[package.dependencies]
+tinycss2 = "*"
+webencodings = "*"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "pytest"]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
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+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "cyclic"
 version = "1.0.0"
@@ -538,13 +711,13 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.2"
+version = "0.6.3"
 description = "Easily serialize dataclasses to and from JSON."
 optional = true
 python-versions = ">=3.7,<4.0"
 files = [
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 [package.dependencies]
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 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
+
 [[package]]
 name = "distlib"
 version = "0.3.7"
@@ -649,6 +833,40 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "faiss-cpu"
+version = "1.7.4"
+description = "A library for efficient similarity search and clustering of dense vectors."
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "fastapi"
 version = "0.104.1"
@@ -669,6 +887,16 @@ typing-extensions = ">=4.8.0"
 [package.extras]
 all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.5)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
 
+[[package]]
+name = "ffmpy"
+version = "0.3.1"
+description = "A simple Python wrapper for ffmpeg"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "filelock"
 version = "3.13.1"
@@ -685,6 +913,71 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
+[[package]]
+name = "fonttools"
+version = "4.45.1"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "fonttools-4.45.1.tar.gz", hash = "sha256:6e441286d55fe7ec7c4fb36812bf914924813776ff514b744b510680fc2733f2"},
+]
+
+[package.extras]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "scipy"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.0"
@@ -755,6 +1048,41 @@ files = [
     {file = "frozenlist-1.4.0.tar.gz", hash = "sha256:09163bdf0b2907454042edb19f887c6d33806adc71fbd54afc14908bfdc22251"},
 ]
 
+[[package]]
+name = "fsspec"
+version = "2023.10.0"
+description = "File-system specification"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fsspec-2023.10.0-py3-none-any.whl", hash = "sha256:346a8f024efeb749d2a5fca7ba8854474b1ff9af7c3faaf636a4548781136529"},
+    {file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"},
+]
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "ghp-import"
 version = "2.1.0"
@@ -772,6 +1100,68 @@ python-dateutil = ">=2.8.1"
 [package.extras]
 dev = ["flake8", "markdown", "twine", "wheel"]
 
+[[package]]
+name = "gradio"
+version = "4.7.1"
+description = "Python library for easily interacting with trained machine learning models"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "gradio-4.7.1-py3-none-any.whl", hash = "sha256:2801da3571c75769b4d36f7b655ed70759c247f139b361e39cf78d94a9772d8d"},
+    {file = "gradio-4.7.1.tar.gz", hash = "sha256:eae1058ffdd4adcfc25969a800903acbff4b58b50e7293de77d167560f06e356"},
+]
+
+[package.dependencies]
+aiofiles = ">=22.0,<24.0"
+altair = ">=4.2.0,<6.0"
+fastapi = "*"
+ffmpy = "*"
+gradio-client = "0.7.0"
+httpx = "*"
+huggingface-hub = ">=0.14.0"
+importlib-resources = ">=1.3,<7.0"
+jinja2 = "<4.0"
+markupsafe = ">=2.0,<3.0"
+matplotlib = ">=3.0,<4.0"
+numpy = ">=1.0,<2.0"
+orjson = ">=3.0,<4.0"
+packaging = "*"
+pandas = ">=1.0,<3.0"
+pillow = ">=8.0,<11.0"
+pydantic = ">=2.0"
+pydub = "*"
+python-multipart = "*"
+pyyaml = ">=5.0,<7.0"
+requests = ">=2.0,<3.0"
+semantic-version = ">=2.0,<3.0"
+tomlkit = "0.12.0"
+typer = {version = ">=0.9,<1.0", extras = ["all"]}
+typing-extensions = ">=4.0,<5.0"
+uvicorn = ">=0.14.0"
+
+[package.extras]
+oauth = ["authlib", "itsdangerous"]
+
+[[package]]
+name = "gradio-client"
+version = "0.7.0"
+description = "Python library for easily interacting with trained machine learning models"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "gradio_client-0.7.0-py3-none-any.whl", hash = "sha256:1ecd8bbddbe6e0488e23ed4065d4e45ffbc31c876aa940744bfb5425b1511bc6"},
+    {file = "gradio_client-0.7.0.tar.gz", hash = "sha256:f8c3552737da5a8725bb3e1bea10f77bbd37823f0d794d410e985ef7127209ac"},
+]
+
+[package.dependencies]
+fsspec = "*"
+httpx = "*"
+huggingface-hub = ">=0.13.0"
+packaging = "*"
+requests = ">=2.0,<3.0"
+typing-extensions = ">=4.0,<5.0"
+websockets = ">=10.0,<12.0"
+
 [[package]]
 name = "greenlet"
 version = "3.0.1"
@@ -842,6 +1232,20 @@ files = [
 docs = ["Sphinx"]
 test = ["objgraph", "psutil"]
 
+[[package]]
+name = "griffe"
+version = "0.38.0"
+description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "griffe-0.38.0-py3-none-any.whl", hash = "sha256:6a5bc457320e8e199006aa5fbb03e162f5e21abe31aa6221f7a5c37ea0724c71"},
+    {file = "griffe-0.38.0.tar.gz", hash = "sha256:9b97487b583042b543d1e28196caee638ecd766c8c4c98135071806cb5333ac2"},
+]
+
+[package.dependencies]
+colorama = ">=0.4"
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -857,7 +1261,7 @@ files = [
 name = "httpcore"
 version = "1.0.2"
 description = "A minimal low-level HTTP client."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
@@ -926,7 +1330,7 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
 name = "httpx"
 version = "0.25.2"
 description = "The next generation HTTP client."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
@@ -957,6 +1361,39 @@ files = [
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 ]
 
+[[package]]
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+version = "0.19.4"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+]
+
+[package.dependencies]
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+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
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+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
 [[package]]
 name = "identify"
 version = "2.5.32"
@@ -1001,6 +1438,24 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
+[[package]]
+name = "importlib-resources"
+version = "6.1.1"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.extras]
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+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -1014,13 +1469,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.26.0"
+version = "6.27.1"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1047,13 +1502,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.18.0"
+version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
@@ -1063,7 +1518,7 @@ exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
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 matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
+prompt-toolkit = ">=3.0.41,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
@@ -1143,6 +1598,41 @@ files = [
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 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.20.0"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2023.11.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
 [[package]]
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 version = "8.6.0"
@@ -1186,6 +1676,119 @@ traitlets = ">=5.3"
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 test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
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 version = "0.0.337"
@@ -1228,13 +1831,13 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langsmith"
-version = "0.0.66"
+version = "0.0.67"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 python-versions = ">=3.8.1,<4.0"
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@@ -1277,6 +1880,30 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
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 testing = ["coverage", "pyyaml"]
 
+[[package]]
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+
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+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.3"
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 tests = ["pytest", "pytz", "simplejson"]
 
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+
+[package.dependencies]
+contourpy = ">=1.0.1"
+cycler = ">=0.10"
+fonttools = ">=4.22.0"
+importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
+kiwisolver = ">=1.3.1"
+numpy = ">=1.21,<2"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
+
 [[package]]
 name = "matplotlib-inline"
 version = "0.1.6"
@@ -1380,6 +2056,17 @@ files = [
 [package.dependencies]
 traitlets = "*"
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "mdx-include"
 version = "1.4.2"
@@ -1438,6 +2125,21 @@ watchdog = ">=2.0"
 i18n = ["babel (>=2.9.0)"]
 min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
 
+[[package]]
+name = "mkdocs-autorefs"
+version = "0.5.0"
+description = "Automatically link across pages in MkDocs."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+Markdown = ">=3.3"
+mkdocs = ">=1.1"
+
 [[package]]
 name = "mkdocs-material"
 version = "9.4.14"
@@ -1451,12 +2153,14 @@ files = [
 
 [package.dependencies]
 babel = ">=2.10,<3.0"
+cairosvg = {version = ">=2.6,<3.0", optional = true, markers = "extra == \"imaging\""}
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
 mkdocs = ">=1.5.3,<2.0"
 mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
+pillow = {version = ">=9.4,<10.0", optional = true, markers = "extra == \"imaging\""}
 pygments = ">=2.16,<3.0"
 pymdown-extensions = ">=10.2,<11.0"
 regex = ">=2022.4"
@@ -1478,6 +2182,50 @@ files = [
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 ]
 
+[[package]]
+name = "mkdocstrings"
+version = "0.24.0"
+description = "Automatic documentation from sources, for MkDocs."
+optional = false
+python-versions = ">=3.8"
+files = [
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+importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
+Jinja2 = ">=2.11.1"
+Markdown = ">=3.3"
+MarkupSafe = ">=1.1"
+mkdocs = ">=1.4"
+mkdocs-autorefs = ">=0.3.1"
+mkdocstrings-python = {version = ">=0.5.2", optional = true, markers = "extra == \"python\""}
+platformdirs = ">=2.2.0"
+pymdown-extensions = ">=6.3"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
+
+[package.extras]
+crystal = ["mkdocstrings-crystal (>=0.3.4)"]
+python = ["mkdocstrings-python (>=0.5.2)"]
+python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
+
+[[package]]
+name = "mkdocstrings-python"
+version = "1.7.5"
+description = "A Python handler for mkdocstrings."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+mkdocstrings = ">=0.20"
+
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1601,7 +2349,7 @@ setuptools = "*"
 name = "numpy"
 version = "1.26.2"
 description = "Fundamental package for array computing in Python"
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
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@@ -1664,6 +2412,65 @@ typing-extensions = ">=4.5,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
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+version = "3.9.10"
+description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
+optional = false
+python-versions = ">=3.8"
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+
 [[package]]
 name = "packaging"
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 version = "0.8.3"
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+
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 version = "4.0.0"
@@ -1998,6 +2951,17 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pydub"
+version = "0.25.1"
+description = "Manipulate audio with an simple and easy high level interface"
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+python-versions = "*"
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@@ -2031,6 +2995,20 @@ pyyaml = "*"
 [package.extras]
 extra = ["pygments (>=2.12)"]
 
+[[package]]
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+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
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+
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 version = "7.4.3"
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 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
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+
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 version = "306"
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 version = "2023.10.3"
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
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+version = "2.10.0"
+description = "A library implementing the 'SemVer' scheme."
+optional = false
+python-versions = ">=2.7"
+files = [
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+doc = ["Sphinx", "sphinx-rtd-theme"]
+
 [[package]]
 name = "setuptools"
 version = "69.0.2"
@@ -2463,6 +3622,17 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
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+[[package]]
+name = "shellingham"
+version = "1.5.4"
+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -2702,6 +3872,24 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
+[[package]]
+name = "tinycss2"
+version = "1.2.1"
+description = "A tiny CSS parser"
+optional = false
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
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+
+[package.extras]
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+test = ["flake8", "isort", "pytest"]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -2713,6 +3901,28 @@ files = [
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 ]
 
+[[package]]
+name = "tomlkit"
+version = "0.12.0"
+description = "Style preserving TOML library"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[[package]]
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+version = "0.12.0"
+description = "List processing tools and functional utilities"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
 [[package]]
 name = "tornado"
 version = "6.3.3"
@@ -2737,7 +3947,7 @@ files = [
 name = "tqdm"
 version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
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@@ -2755,18 +3965,42 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.13.0"
+version = "5.14.0"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
 ]
 
 [package.extras]
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-test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
+
+[[package]]
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+version = "0.9.0"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
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+shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
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+dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
+doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
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 [[package]]
 name = "typing-extensions"
@@ -2794,6 +4028,17 @@ files = [
 mypy-extensions = ">=0.3.0"
 typing-extensions = ">=3.7.4"
 
+[[package]]
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
+    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+]
+
 [[package]]
 name = "urllib3"
 version = "2.1.0"
@@ -3037,85 +4282,94 @@ files = [
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+[[package]]
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+description = "Character encoding aliases for legacy web content"
+optional = false
+python-versions = "*"
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+]
+
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 ]
 
 [[package]]
@@ -3257,4 +4511,4 @@ openai = ["openai", "tiktoken"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "b33d9c711d6c6ac0e4769b01877492a1ec48f0c8dbb4890a5e6b4a06c641d0d5"
+content-hash = "6ce74d031e7f3166e0f75cb7dbef4445a02c6c2d248d9b9a731d48d0f959e206"
diff --git a/pyproject.toml b/pyproject.toml
index 93c2db2..60c7fc0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,7 +16,7 @@ pydantic = ">=1,<3"
 sse-starlette = "^1.6.5"
 loguru = "^0.7.2"
 httpx-sse = "^0.3.1"
-websockets = "^12.0"
+websockets = "<12.0"
 openai = {version = "^1", optional = true}
 tiktoken = {version = "^0.4.0", optional = true}
 langchain = {version = "^0.0.337", optional = true}
@@ -35,9 +35,14 @@ coveralls = "^3.3.1"
 
 [tool.poetry.group.docs.dependencies]
 mkdocs = "^1.5.3"
-mkdocs-material = "^9.4.10"
+mkdocs-material = {extras = ["imaging"], version = "^9.4.14"}
 mdx-include = "^1.4.2"
 termynal = "^0.11.1"
+mkdocstrings = {extras = ["python"], version = "^0.24.0"}
+
+[tool.poetry.group.examples.dependencies]
+faiss-cpu = "^1.7.4"
+gradio = "^4.7.1"
 
 [tool.poetry.extras]
 openai = ["openai", "tiktoken"]
diff --git a/tests/adapters/langchain/test_langchain_callbacks.py b/tests/adapters/langchain/test_langchain_callbacks.py
index e21614b..bfed092 100644
--- a/tests/adapters/langchain/test_langchain_callbacks.py
+++ b/tests/adapters/langchain/test_langchain_callbacks.py
@@ -92,9 +92,10 @@ def test_get_token():
         callbacks.get_token_data(token="test_token", mode="wrong_mode")
 
     assert callbacks.get_token_data(token="test_token", mode="text") == "test_token"
-    assert callbacks.get_token_data(token="test_token", mode="json") == {
-        "token": "test_token"
-    }
+    assert (
+        callbacks.get_token_data(token="test_token", mode="json")
+        == '{"token":"test_token"}'
+    )
 
 
 @pytest.mark.asyncio