Bump version

.clabot

@@ -1,4 +1,4 @@
 {
-  "contributors": ["eyurtsev", "hwchase17", "nfcampos", "efriis", "jacoblee93", "dqbd", "kreneskyp", "adarsh-jha-dev", "harris", "baskaryan", "hinthornw", "bracesproul", "jakerachleff", "craigsdennis", "anhi", "169", "LarchLiu", "PaulLockett", "RCMatthias", "jwynia", "majiayu000", "mpskex", "shivachittamuru", "sinashaloudegi", "sowsan", "akira", "lucianotonet", "JGalego", "nat-n", "dirien", "donbr", "rahilvora", "WarrenTheRabbit", "StreetLamb", "ccurme", "dennisrall"],
+  "contributors": ["eyurtsev", "hwchase17", "nfcampos", "efriis", "jacoblee93", "dqbd", "kreneskyp", "adarsh-jha-dev", "harris", "baskaryan", "hinthornw", "bracesproul", "jakerachleff", "craigsdennis", "anhi", "169", "LarchLiu", "PaulLockett", "RCMatthias", "jwynia", "majiayu000", "mpskex", "shivachittamuru", "sinashaloudegi", "sowsan", "akira", "lucianotonet", "JGalego", "nat-n", "dirien"],
   "message": "Thank you for your pull request and welcome to our community. We require contributors to sign our Contributor License Agreement, and we don't seem to have the username {{usersWithoutCLA}} on file. In order for us to review and merge your code, please complete the Individual Contributor License Agreement here https://forms.gle/AQFbtkWRoHXUgipM6 .\n\nThis process is done manually on our side, so after signing the form one of the maintainers will add you to the contributors list.\n\nFor more details about why we have a CLA and other contribution guidelines please see: https://github.com/langchain-ai/langserve/blob/main/CONTRIBUTING.md."
 }

.github/workflows/_pydantic_compatibility.yml

@@ -0,0 +1,94 @@
+name: pydantic v1/v2 compatibility
+
+on:
+  workflow_call:
+    inputs:
+      working-directory:
+        required: true
+        type: string
+        description: "From which folder this pipeline executes"
+
+env:
+  POETRY_VERSION: "1.5.1"
+
+jobs:
+  build:
+    timeout-minutes: 10
+    defaults:
+      run:
+        working-directory: ${{ inputs.working-directory }}
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.8"
+          - "3.9"
+          - "3.10"
+          - "3.11"
+    name: Pydantic v1/v2 compatibility - Python ${{ matrix.python-version }}
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          working-directory: ${{ inputs.working-directory }}
+          cache-key: pydantic-cross-compat
+
+      - name: Install dependencies
+        shell: bash
+        run: poetry install
+
+      - name: Install the opposite major version of pydantic
+        # If normal tests use pydantic v1, here we'll use v2, and vice versa.
+        shell: bash
+        run: |
+          # Determine the major part of pydantic version
+          REGULAR_VERSION=$(poetry run python -c "import pydantic; print(pydantic.__version__)" | cut -d. -f1)
+
+          if [[ "$REGULAR_VERSION" == "1" ]]; then
+            PYDANTIC_DEP=">=2.1,<3"
+            TEST_WITH_VERSION="2"
+          elif [[ "$REGULAR_VERSION" == "2" ]]; then
+            PYDANTIC_DEP="<2"
+            TEST_WITH_VERSION="1"
+          else
+            echo "Unexpected pydantic major version '$REGULAR_VERSION', cannot determine which version to use for cross-compatibility test."
+            exit 1
+          fi
+
+          # Install via `pip` instead of `poetry add` to avoid changing lockfile,
+          # which would prevent caching from working: the cache would get saved
+          # to a different key than where it gets loaded from.
+          poetry run pip install "pydantic${PYDANTIC_DEP}"
+
+          # Ensure that the correct pydantic is installed now.
+          echo "Checking pydantic version... Expecting ${TEST_WITH_VERSION}"
+
+          # Determine the major part of pydantic version
+          CURRENT_VERSION=$(poetry run python -c "import pydantic; print(pydantic.__version__)" | cut -d. -f1)
+
+          # Check that the major part of pydantic version is as expected, if not
+          # raise an error
+          if [[ "$CURRENT_VERSION" != "$TEST_WITH_VERSION" ]]; then
+            echo "Error: expected pydantic version ${CURRENT_VERSION} to have been installed, but found: ${TEST_WITH_VERSION}"
+            exit 1
+          fi
+          echo "Found pydantic version ${CURRENT_VERSION}, as expected"
+      - name: Run pydantic compatibility tests
+        shell: bash
+        run: make test
+
+      - name: Ensure the tests did not create any additional files
+        shell: bash
+        run: |
+          set -eu
+
+          STATUS="$(git status)"
+          echo "$STATUS"
+
+          # grep will exit non-zero if the target message isn't found,
+          # and `set -e` above will cause the step to fail.
+          echo "$STATUS" | grep 'nothing to commit, working tree clean'

.github/workflows/langserve_ci.yml

@@ -39,6 +39,13 @@ jobs:
     with:
       working-directory: .
     secrets: inherit
+
+  pydantic-compatibility:
+    uses:
+      ./.github/workflows/_pydantic_compatibility.yml
+    with:
+      working-directory: .
+    secrets: inherit
   test:
     timeout-minutes: 10
     runs-on: ubuntu-latest

.github/workflows/langserve_release.yml

@@ -10,5 +10,4 @@ jobs:
       ./.github/workflows/_release.yml
     with:
       working-directory: .
-    permissions: write-all
     secrets: inherit

CONTRIBUTING.md

@@ -49,32 +49,3 @@ To run linting for this project:
 ```sh
 make lint
 ```
-
-## Frontend Playground Development
-
-Here are a few tips to keep in mind when developing the LangServe playgrounds:
-
-### Setup
-
-Switch directories to `langserve/playground` or `langserve/chat_playground`, then run `yarn` to install required
-dependencies. `yarn dev` will start the playground at `http://localhost:5173/____LANGSERVE_BASE_URL/` in dev mode.
-
-You can run one of the chains in the `examples/` repo using `poetry run python path/to/file.py`.
-
-### Setting CORS
-
-You may need to add the following to an example route when developing the playground in dev mode to handle CORS:
-
-```python
-from fastapi.middleware.cors import CORSMiddleware
-
-# Set all CORS enabled origins
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-    expose_headers=["*"],
-)
-```

README.md

@@ -5,6 +5,10 @@
 [![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langserve)](https://github.com/langchain-ai/langserve/issues)
 [![](https://dcbadge.vercel.app/api/server/6adMQxSpJS?compact=true&style=flat)](https://discord.com/channels/1038097195422978059/1170024642245832774)
 
+🚩 We will be releasing a hosted version of LangServe for one-click deployments of
+LangChain applications. [Sign up here](https://airtable.com/app0hN6sd93QcKubv/shrAjst60xXa6quV2)
+to get on the waitlist.
+
 ## Overview
 
 [LangServe](https://github.com/langchain-ai/langserve) helps developers
@@ -24,11 +28,11 @@ in [LangChain.js](https://js.langchain.com/docs/ecosystem/langserve).
 - Input and Output schemas automatically inferred from your LangChain object, and
   enforced on every API call, with rich error messages
 - API docs page with JSONSchema and Swagger (insert example link)
-- Efficient `/invoke`, `/batch` and `/stream` endpoints with support for many
+- Efficient `/invoke/`, `/batch/` and `/stream/` endpoints with support for many
   concurrent requests on a single server
-- `/stream_log` endpoint for streaming all (or some) intermediate steps from your
+- `/stream_log/` endpoint for streaming all (or some) intermediate steps from your
   chain/agent
-- **new** as of 0.0.40, supports `/stream_events` to make it easier to stream without needing to parse the output of `/stream_log`.
+- **new** as of 0.0.40, supports `astream_events` to make it easier to stream without needing to parse the output of `stream_log`.
 - Playground page at `/playground/` with streaming output and intermediate steps
 - Built-in (optional) tracing to [LangSmith](https://www.langchain.com/langsmith), just
   add your API key (see [Instructions](https://docs.smith.langchain.com/))
@@ -38,13 +42,6 @@ in [LangChain.js](https://js.langchain.com/docs/ecosystem/langserve).
   locally (or call the HTTP API directly)
 - [LangServe Hub](https://github.com/langchain-ai/langchain/blob/master/templates/README.md)
 
-## ⚠️ LangGraph Compatibility
-
-LangServe is designed to primarily deploy simple Runnables and wok with well-known primitives in langchain-core.
-
-If you need a deployment option for LangGraph, you should instead be looking at [LangGraph Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/) which will
-be better suited for deploying LangGraph applications.
-
 ## Limitations
 
 - Client callbacks are not yet supported for events that originate on the server
@@ -52,9 +49,16 @@ be better suited for deploying LangGraph applications.
   support [mixing pydantic v1 and v2 namespaces](https://github.com/tiangolo/fastapi/issues/10360).
   See section below for more details.
 
+## Hosted LangServe
+
+We will be releasing a hosted version of LangServe for one-click deployments of
+LangChain
+applications. [Sign up here](https://airtable.com/apppQ9p5XuujRl3wJ/shrABpHWdxry8Bacm)
+to get on the waitlist.
+
 ## Security
 
-- Vulnerability in Versions 0.0.13 - 0.0.15 -- playground endpoint allows accessing
+* Vulnerability in Versions 0.0.13 - 0.0.15 -- playground endpoint allows accessing
   arbitrary files on
   server. [Resolved in 0.0.16](https://github.com/langchain-ai/langserve/pull/98).
 
@@ -76,38 +80,8 @@ Use the `LangChain` CLI to bootstrap a `LangServe` project quickly.
 To use the langchain CLI make sure that you have a recent version of `langchain-cli`
 installed. You can install it with `pip install -U langchain-cli`.
 
-## Setup
-
-**Note**: We use `poetry` for dependency management. Please follow poetry [doc](https://python-poetry.org/docs/) to learn more about it.
-
-### 1. Create new app using langchain cli command
-
 ```sh
-langchain app new my-app
-```
-
-### 2. Define the runnable in add_routes. Go to server.py and edit
-
-```sh
-add_routes(app. NotImplemented)
-```
-
-### 3. Use `poetry` to add 3rd party packages (e.g., langchain-openai, langchain-anthropic, langchain-mistral etc).
-
-```sh
-poetry add [package-name] // e.g `poetry add langchain-openai`
-```
-
-### 4. Set up relevant env variables. For example,
-
-```sh
-export OPENAI_API_KEY="sk-..."
-```
-
-### 5. Serve your app
-
-```sh
-poetry run langchain serve --port=8100
+langchain app new ../path/to/directory
 ```
 
 ## Examples
@@ -121,24 +95,24 @@ or the [examples](https://github.com/langchain-ai/langserve/tree/main/examples)
 directory.
 
 | Description                                                                                                                                                                                                                                                        | Links                                                                                                                                                                                                                               |
-| :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **LLMs** Minimal example that reserves OpenAI and Anthropic chat models. Uses async, supports batching and streaming.                                                                                                                                              | [server](https://github.com/langchain-ai/langserve/tree/main/examples/llm/server.py), [client](https://github.com/langchain-ai/langserve/blob/main/examples/llm/client.ipynb)                                                       |
-| **Retriever** Simple server that exposes a retriever as a runnable.                                                                                                                                                                                                | [server](https://github.com/langchain-ai/langserve/tree/main/examples/retrieval/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/retrieval/client.ipynb)                                           |
-| **Conversational Retriever** A [Conversational Retriever](https://python.langchain.com/docs/expression_language/cookbook/retrieval#conversational-retrieval-chain) exposed via LangServe                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/conversational_retrieval_chain/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/conversational_retrieval_chain/client.ipynb) |
-| **Agent** without **conversation history** based on [OpenAI tools](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent)                                                                                                            | [server](https://github.com/langchain-ai/langserve/tree/main/examples/agent/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/agent/client.ipynb)                                                   |
-| **Agent** with **conversation history** based on [OpenAI tools](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent)                                                                                                               | [server](https://github.com/langchain-ai/langserve/blob/main/examples/agent_with_history/server.py), [client](https://github.com/langchain-ai/langserve/blob/main/examples/agent_with_history/client.ipynb)                         |
+|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **LLMs** Minimal example that reserves OpenAI and Anthropic chat models. Uses async, supports batching and streaming.                                                                                                                                              | [server](https://github.com/langchain-ai/langserve/tree/main/examples/llm/server.py), [client](https://github.com/langchain-ai/langserve/blob/main/examples/llm/client.ipynb)                                                       | 
+| **Retriever** Simple server that exposes a retriever as a runnable.                                                                                                                                                                                                | [server](https://github.com/langchain-ai/langserve/tree/main/examples/retrieval/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/retrieval/client.ipynb)                                           | 
+| **Conversational Retriever** A [Conversational Retriever](https://python.langchain.com/docs/expression_language/cookbook/retrieval#conversational-retrieval-chain) exposed via LangServe                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/conversational_retrieval_chain/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/conversational_retrieval_chain/client.ipynb) | 
+| **Agent** without **conversation history** based on [OpenAI tools](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent)                                                                                             | [server](https://github.com/langchain-ai/langserve/tree/main/examples/agent/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/agent/client.ipynb)                                                   | 
+| **Agent** with **conversation history** based on [OpenAI tools](https://python.langchain.com/docs/modules/agents/agent_types/openai_functions_agent)                                                                                                               | [server](https://github.com/langchain-ai/langserve/blob/main/examples/agent_with_history/server.py), [client](https://github.com/langchain-ai/langserve/blob/main/examples/agent_with_history/client.ipynb)                         | 
 | [RunnableWithMessageHistory](https://python.langchain.com/docs/expression_language/how_to/message_history) to implement chat persisted on backend, keyed off a `session_id` supplied by client.                                                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence/client.ipynb)                   |
-| [RunnableWithMessageHistory](https://python.langchain.com/docs/expression_language/how_to/message_history) to implement chat persisted on backend, keyed off a `conversation_id` supplied by client, and `user_id` (see Auth for implementing `user_id` properly). | [server](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence_and_user/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence_and_user/client.ipynb) |
-| [Configurable Runnable](https://python.langchain.com/docs/expression_language/how_to/configure) to create a retriever that supports run time configuration of the index name.                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_retrieval/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_retrieval/client.ipynb)                 |
-| [Configurable Runnable](https://python.langchain.com/docs/expression_language/how_to/configure) that shows configurable fields and configurable alternatives.                                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_chain/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_chain/client.ipynb)                         |
+| [RunnableWithMessageHistory](https://python.langchain.com/docs/expression_language/how_to/message_history) to implement chat persisted on backend, keyed off a `conversation_id` supplied by client, and `user_id` (see Auth for implementing `user_id` properly). | [server](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence_and_user/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/chat_with_persistence_and_user/client.ipynb) | 
+| [Configurable Runnable](https://python.langchain.com/docs/expression_language/how_to/configure) to create a retriever that supports run time configuration of the index name.                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_retrieval/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_retrieval/client.ipynb)                 | 
+| [Configurable Runnable](https://python.langchain.com/docs/expression_language/how_to/configure) that shows configurable fields and configurable alternatives.                                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_chain/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/configurable_chain/client.ipynb)                         | 
 | **APIHandler** Shows how to use `APIHandler` instead of `add_routes`. This provides more flexibility for developers to define endpoints. Works well with all FastAPI patterns, but takes a bit more effort.                                                        | [server](https://github.com/langchain-ai/langserve/tree/main/examples/api_handler_examples/server.py)                                                                                                                               |
-| **LCEL Example** Example that uses LCEL to manipulate a dictionary input.                                                                                                                                                                                          | [server](https://github.com/langchain-ai/langserve/tree/main/examples/passthrough_dict/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/passthrough_dict/client.ipynb)                             |
-| **Auth** with `add_routes`: Simple authentication that can be applied across all endpoints associated with app. (Not useful on its own for implementing per user logic.)                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/global_deps/server.py)                                                                                                                                   |
-| **Auth** with `add_routes`: Simple authentication mechanism based on path dependencies. (No useful on its own for implementing per user logic.)                                                                                                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/path_dependencies/server.py)                                                                                                                             |
-| **Auth** with `add_routes`: Implement per user logic and auth for endpoints that use per request config modifier. (**Note**: At the moment, does not integrate with OpenAPI docs.)                                                                                 | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/client.ipynb)     |
-| **Auth** with `APIHandler`: Implement per user logic and auth that shows how to search only within user owned documents.                                                                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/client.ipynb)                             |
-| **Widgets** Different widgets that can be used with playground (file upload and chat)                                                                                                                                                                              | [server](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/chat/tuples/server.py)                                                                                                                                |
-| **Widgets** File upload widget used for LangServe playground.                                                                                                                                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/client.ipynb)                               |
+| **LCEL Example** Example that uses LCEL to manipulate a dictionary input.                                                                                                                                                                                          | [server](https://github.com/langchain-ai/langserve/tree/main/examples/passthrough_dict/client.ipynb), [client](https://github.com/langchain-ai/langserve/tree/main/examples/passthrough_dict/client.ipynb)                          | 
+| **Auth** with `add_routes`: Simple authentication that can be applied across all endpoints associated with app. (Not useful on its own for implementing per user logic.)                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/global_deps/server.py)                                                                                                                                   | 
+| **Auth** with `add_routes`: Simple authentication mechanism based on path dependencies. (No useful on its own for implementing per user logic.)                                                                                                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/path_dependencies/server.py)                                                                                                                             | 
+| **Auth** with `add_routes`: Implement per user logic and auth for endpoints that use per request config modifier. (**Note**: At the moment, does not integrate with OpenAPI docs.)                                                                                 | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/client.ipynb)     | 
+| **Auth** with `APIHandler`: Implement per user logic and auth that shows how to search only within user owned documents.                                                                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/client.ipynb)                             | 
+| **Widgets** Different widgets that can be used with playground (file upload and chat)                                                                                                                                                                              | [server](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/chat/tuples/server.py)                                                                                                                                            | 
+| **Widgets** File upload widget used for LangServe playground.                                                                                                                                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/client.ipynb)                               | 
 
 ## Sample Application
 
@@ -163,17 +137,17 @@ app = FastAPI(
 
 add_routes(
     app,
-    ChatOpenAI(model="gpt-3.5-turbo-0125"),
+    ChatOpenAI(),
     path="/openai",
 )
 
 add_routes(
     app,
-    ChatAnthropic(model="claude-3-haiku-20240307"),
+    ChatAnthropic(),
     path="/anthropic",
 )
 
-model = ChatAnthropic(model="claude-3-haiku-20240307")
+model = ChatAnthropic()
 prompt = ChatPromptTemplate.from_template("tell me a joke about {topic}")
 add_routes(
     app,
@@ -208,8 +182,8 @@ app.add_middleware(
 
 If you've deployed the server above, you can view the generated OpenAPI docs using:
 
-> ⚠️ If using pydantic v2, docs will not be generated for _invoke_, _batch_, _stream_,
-> _stream_log_. See [Pydantic](#pydantic) section below for more details.
+> ⚠️ If using pydantic v2, docs will not be generated for *invoke*, *batch*, *stream*,
+*stream_log*. See [Pydantic](#pydantic) section below for more details.
 
 ```sh
 curl localhost:8000/docs
@@ -269,10 +243,10 @@ In TypeScript (requires LangChain.js version 0.0.166 or later):
 import { RemoteRunnable } from "@langchain/core/runnables/remote";
 
 const chain = new RemoteRunnable({
-  url: `http://localhost:8000/joke/`,
+    url: `http://localhost:8000/joke/`,
 });
 const result = await chain.invoke({
-  topic: "cats",
+    topic: "cats",
 });
 ```
 
@@ -321,7 +295,7 @@ adds of these endpoints to the server:
 - `POST /my_runnable/stream_log` - invoke on a single input and stream the output,
   including output of intermediate steps as it's generated
 - `POST /my_runnable/astream_events` - invoke on a single input and stream events as they are generated,
-  including from intermediate steps.
+ including from intermediate steps.
 - `GET /my_runnable/input_schema` - json schema for input to the runnable
 - `GET /my_runnable/output_schema` - json schema for output of the runnable
 - `GET /my_runnable/config_schema` - json schema for config of the runnable
@@ -356,70 +330,6 @@ runnable and share a link with the configuration:
 <img src="https://github.com/langchain-ai/langserve/assets/3205522/86ce9c59-f8e4-4d08-9fa3-62030e0f521d" width="50%"/>
 </p>
 
-## Chat playground
-
-LangServe also supports a chat-focused playground that opt into and use under `/my_runnable/playground/`.
-Unlike the general playground, only certain types of runnables are supported - the runnable's input schema must
-be a `dict` with either:
-
-- a single key, and that key's value must be a list of chat messages.
-- two keys, one whose value is a list of messages, and the other representing the most recent message.
-
-We recommend you use the first format.
-
-The runnable must also return either an `AIMessage` or a string.
-
-To enable it, you must set `playground_type="chat",` when adding your route. Here's an example:
-
-```python
-# Declare a chain
-prompt = ChatPromptTemplate.from_messages(
-    [
-        ("system", "You are a helpful, professional assistant named Cob."),
-        MessagesPlaceholder(variable_name="messages"),
-    ]
-)
-
-chain = prompt | ChatAnthropic(model="claude-2")
-
-
-class InputChat(BaseModel):
-    """Input for the chat endpoint."""
-
-    messages: List[Union[HumanMessage, AIMessage, SystemMessage]] = Field(
-        ...,
-        description="The chat messages representing the current conversation.",
-    )
-
-
-add_routes(
-    app,
-    chain.with_types(input_type=InputChat),
-    enable_feedback_endpoint=True,
-    enable_public_trace_link_endpoint=True,
-    playground_type="chat",
-)
-```
-
-If you are using LangSmith, you can also set `enable_feedback_endpoint=True` on your route to enable thumbs-up/thumbs-down buttons
-after each message, and `enable_public_trace_link_endpoint=True` to add a button that creates a public traces for runs.
-Note that you will also need to set the following environment variables:
-
-```bash
-export LANGCHAIN_TRACING_V2="true"
-export LANGCHAIN_PROJECT="YOUR_PROJECT_NAME"
-export LANGCHAIN_API_KEY="YOUR_API_KEY"
-```
-
-Here's an example with the above two options turned on:
-
-<p align="center">
-<img src="./.github/img/chat_playground.png" width="50%"/>
-</p>
-
-Note: If you enable public trace links, the internals of your chain will be exposed. We recommend only using this setting
-for demos or testing.
-
 ## Legacy Chains
 
 LangServe works with both Runnables (constructed
@@ -462,6 +372,27 @@ You can deploy to GCP Cloud Run using the following command:
 gcloud run deploy [your-service-name] --source . --port 8001 --allow-unauthenticated --region us-central1 --set-env-vars=OPENAI_API_KEY=your_key
 ```
 
+### Deploy using Infrastructure as Code
+
+#### Pulumi
+
+You can deploy your LangServe server with [Pulumi](https://www.pulumi.com/) using your preferred general purpose language. Below are some quickstart 
+examples for deploying LangServe to different cloud providers.
+
+These examples are a good starting point for your own infrastructure as code (IaC) projects. You can easily modify them to suit your needs.
+
+
+| Cloud | Language   | Repository                                          | Quickstart                                                                                                                                  |
+|-------|------------|-----------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------|
+| AWS   | dotnet     | https://github.com/pulumi/examples/aws-cs-langserve | [![Deploy](https://get.pulumi.com/new/button.svg)](https://app.pulumi.com/new?template=https://github.com/pulumi/examples/aws-cs-langserve) |
+| AWS   | golang     | https://github.com/pulumi/examples/aws-go-langserve | [![Deploy](https://get.pulumi.com/new/button.svg)](https://app.pulumi.com/new?template=https://github.com/pulumi/examples/aws-go-langserve) |
+| AWS   | python     | https://github.com/pulumi/examples/aws-py-langserve | [![Deploy](https://get.pulumi.com/new/button.svg)](https://app.pulumi.com/new?template=https://github.com/pulumi/examples/aws-py-langserve) |
+| AWS   | typescript | https://github.com/pulumi/examples/aws-ts-langserve | [![Deploy](https://get.pulumi.com/new/button.svg)](https://app.pulumi.com/new?template=https://github.com/pulumi/examples/aws-ts-langserve) |
+| AWS   | javascript | https://github.com/pulumi/examples/aws-js-langserve | [![Deploy](https://get.pulumi.com/new/button.svg)](https://app.pulumi.com/new?template=https://github.com/pulumi/examples/aws-js-langserve) |
+
+
+
+
 ### Community Contributed
 
 #### Deploy to Railway
@@ -475,7 +406,7 @@ gcloud run deploy [your-service-name] --source . --port 8001 --allow-unauthentic
 LangServe provides support for Pydantic 2 with some limitations.
 
 1. OpenAPI docs will not be generated for invoke/batch/stream/stream_log when using
-   Pydantic V2. Fast API does not support [mixing pydantic v1 and v2 namespaces]. To fix this, use `pip install pydantic==1.10.17`.
+   Pydantic V2. Fast API does not support [mixing pydantic v1 and v2 namespaces].
 2. LangChain uses the v1 namespace in Pydantic v2. Please read
    the [following guidelines to ensure compatibility with LangChain](https://github.com/langchain-ai/langchain/discussions/9337)
 
@@ -492,7 +423,7 @@ and [security](https://fastapi.tiangolo.com/tutorial/security/).
 
 The below examples show how to wire up authentication logic LangServe endpoints using FastAPI primitives.
 
-You are responsible for providing the actual authentication logic, the users table etc.
+You are responsible for providing the actual authentication logic, the users table etc. 
 
 If you're not sure what you're doing, you could try using an existing solution [Auth0](https://auth0.com/).
 
@@ -501,11 +432,11 @@ If you're not sure what you're doing, you could try using an existing solution [
 If you're using `add_routes`, see
 examples [here](https://github.com/langchain-ai/langserve/tree/main/examples/auth).
 
-| Description                                                                                                                                                                        | Links                                                                                                                                                                                                                           |
-| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Auth** with `add_routes`: Simple authentication that can be applied across all endpoints associated with app. (Not useful on its own for implementing per user logic.)           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/global_deps/server.py)                                                                                                                               |
-| **Auth** with `add_routes`: Simple authentication mechanism based on path dependencies. (No useful on its own for implementing per user logic.)                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/path_dependencies/server.py)                                                                                                                         |
-| **Auth** with `add_routes`: Implement per user logic and auth for endpoints that use per request config modifier. (**Note**: At the moment, does not integrate with OpenAPI docs.) | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/client.ipynb) |
+| Description                                                                                                                                                                                                                                                        | Links                                                                                                                                                                                                                                |
+|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Auth** with `add_routes`: Simple authentication that can be applied across all endpoints associated with app. (Not useful on its own for implementing per user logic.)                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/global_deps/server.py)                                                                                                                                    | 
+| **Auth** with `add_routes`: Simple authentication mechanism based on path dependencies. (No useful on its own for implementing per user logic.)                                                                                                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/path_dependencies/server.py)                                                                                                                              | 
+| **Auth** with `add_routes`: Implement per user logic and auth for endpoints that use per request config modifier. (**Note**: At the moment, does not integrate with OpenAPI docs.)                                                                                 | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/per_req_config_modifier/client.ipynb)     | 
 
 Alternatively, you can use FastAPI's [middleware](https://fastapi.tiangolo.com/tutorial/middleware/).
 
@@ -525,10 +456,10 @@ authorization purposes.
 
 If you feel comfortable with FastAPI and python, you can use LangServe's [APIHandler](https://github.com/langchain-ai/langserve/blob/main/examples/api_handler_examples/server.py).
 
-| Description                                                                                                                                                                                                 | Links                                                                                                                                                                                                           |
-| :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Auth** with `APIHandler`: Implement per user logic and auth that shows how to search only within user owned documents.                                                                                    | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/client.ipynb)         |
-| **APIHandler** Shows how to use `APIHandler` instead of `add_routes`. This provides more flexibility for developers to define endpoints. Works well with all FastAPI patterns, but takes a bit more effort. | [server](https://github.com/langchain-ai/langserve/tree/main/examples/api_handler_examples/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/api_handler_examples/client.ipynb) |
+| Description                                                                                                                                                                                                                                                        | Links                                                                                                                                                                                                                                |
+|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Auth** with `APIHandler`: Implement per user logic and auth that shows how to search only within user owned documents.                                                                                                                                           | [server](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/auth/api_handler/client.ipynb)                             | 
+| **APIHandler** Shows how to use `APIHandler` instead of `add_routes`. This provides more flexibility for developers to define endpoints. Works well with all FastAPI patterns, but takes a bit more effort.                                                        | [server](https://github.com/langchain-ai/langserve/tree/main/examples/api_handler_examples/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/api_handler_examples/client.ipynb)                     |
 
 It's a bit more work, but gives you complete control over the endpoint definitions, so
 you can do whatever custom logic you need for auth.
@@ -597,8 +528,8 @@ add_routes(app, runnable)
 Inherit from `CustomUserType` if you want the data to de-serialize into a
 pydantic model rather than the equivalent dict representation.
 
-At the moment, this type only works _server_ side and is used
-to specify desired _decoding_ behavior. If inheriting from this type
+At the moment, this type only works *server* side and is used
+to specify desired *decoding* behavior. If inheriting from this type
 the server will keep the decoded type as a pydantic model instead
 of converting it into a dict.
 
@@ -637,10 +568,10 @@ The playground allows you to define custom widgets for your runnable from the ba
 
 Here are a few examples:
 
-| Description                                                                           | Links                                                                                                                                                                                                 |
-| :------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Widgets** Different widgets that can be used with playground (file upload and chat) | [server](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/chat/tuples/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/client.ipynb)     |
-| **Widgets** File upload widget used for LangServe playground.                         | [server](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/client.ipynb) |
+| Description                                                                                                                                                                                                                                                        | Links                                                                                                                                                                                                                                |
+|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Widgets** Different widgets that can be used with playground (file upload and chat)                                                                                                                                                                              | [server](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/chat/tuples/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/widgets/client.ipynb)                                               | 
+| **Widgets** File upload widget used for LangServe playground.                                                                                                                                                                                                      | [server](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/server.py), [client](https://github.com/langchain-ai/langserve/tree/main/examples/file_processing/client.ipynb)                               | 
 
 #### Schema
 
@@ -656,8 +587,8 @@ type NameSpacedPath = { title: string; path: JsonPath }; // Using title to mimic
 type OneOfPath = { oneOf: JsonPath[] };
 
 type Widget = {
-  type: string; // Some well known type (e.g., base64file, chat etc.)
-  [key: string]: JsonPath | NameSpacedPath | OneOfPath;
+    type: string // Some well known type (e.g., base64file, chat etc.)
+    [key: string]: JsonPath | NameSpacedPath | OneOfPath;
 };
 ```
 
@@ -715,9 +646,9 @@ at the [widget example](https://github.com/langchain-ai/langserve/tree/main/exam
 
 To define a chat widget, make sure that you pass "type": "chat".
 
-- "input" is JSONPath to the field in the _Request_ that has the new input message.
-- "output" is JSONPath to the field in the _Response_ that has new output message(s).
-- Don't specify these fields if the entire input or output should be used as they are (
+* "input" is JSONPath to the field in the *Request* that has the new input message.
+* "output" is JSONPath to the field in the *Response* that has new output message(s).
+* Don't specify these fields if the entire input or output should be used as they are (
   e.g., if the output is a list of chat messages.)
 
 Here's a snippet:
@@ -757,7 +688,6 @@ add_routes(
 ```
 
 Example widget:
-
 <p align="center">
 <img src="https://github.com/langchain-ai/langserve/assets/3205522/a71ff37b-a6a9-4857-a376-cf27c41d3ca4" width="50%"/>
 </p>

SECURITY.md

@@ -1,61 +1,6 @@
 # Security Policy
 
-## Reporting OSS Vulnerabilities
+## Reporting a Vulnerability
 
-LangChain is partnered with [huntr by Protect AI](https://huntr.com/) to provide 
-a bounty program for our open source projects. 
-
-Please report security vulnerabilities associated with the LangChain 
-open source projects by visiting the following link:
-
-[https://huntr.com/bounties/disclose/](https://huntr.com/bounties/disclose/?target=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Flangchain&validSearch=true)
-
-Before reporting a vulnerability, please review:
-
-1) In-Scope Targets and Out-of-Scope Targets below.
-2) The [langchain-ai/langchain](https://python.langchain.com/docs/contributing/repo_structure) monorepo structure.
-3) LangChain [security guidelines](https://python.langchain.com/docs/security) to
-   understand what we consider to be a security vulnerability vs. developer
-   responsibility.
-
-### In-Scope Targets
-
-The following packages and repositories are eligible for bug bounties:
-
-- langchain-core
-- langchain (see exceptions)
-- langchain-community (see exceptions)
-- langgraph
-- langserve
-
-### Out of Scope Targets
-
-All out of scope targets defined by huntr as well as:
-
-- **langchain-experimental**: This repository is for experimental code and is not
-  eligible for bug bounties, bug reports to it will be marked as interesting or waste of
-  time and published with no bounty attached.
-- **tools**: Tools in either langchain or langchain-community are not eligible for bug
-  bounties. This includes the following directories
-  - langchain/tools
-  - langchain-community/tools
-  - Please review our [security guidelines](https://python.langchain.com/docs/security)
-    for more details, but generally tools interact with the real world. Developers are
-    expected to understand the security implications of their code and are responsible
-    for the security of their tools.
-- Code documented with security notices. This will be decided done on a case by
-  case basis, but likely will not be eligible for a bounty as the code is already
-  documented with guidelines for developers that should be followed for making their
-  application secure.
-- Any LangSmith related repositories or APIs see below.
-
-## Reporting LangSmith Vulnerabilities
-
-Please report security vulnerabilities associated with LangSmith by email to `security@langchain.dev`.
-
-- LangSmith site: https://smith.langchain.com
-- SDK client: https://github.com/langchain-ai/langsmith-sdk
-
-### Other Security Concerns
-
-For any other security concerns, please contact us at `security@langchain.dev`.
+Please report security vulnerabilities by email to `security@langchain.dev`.
+This email is an alias to a subset of our maintainers, and will ensure the issue is promptly triaged and acted upon as needed.

examples/agent/server.py

@@ -20,15 +20,15 @@ Relevant LangChain documentation:
 from typing import Any
 
 from fastapi import FastAPI
-from langchain.agents import AgentExecutor
+from langchain.agents import AgentExecutor, tool
 from langchain.agents.format_scratchpad import format_to_openai_functions
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain_community.vectorstores import FAISS
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain_core.tools import tool
-from langchain_core.utils.function_calling import format_tool_to_openai_function
-from langchain_openai import ChatOpenAI, OpenAIEmbeddings
-from pydantic import BaseModel
+from langchain.chat_models import ChatOpenAI
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.pydantic_v1 import BaseModel
+from langchain.tools.render import format_tool_to_openai_function
+from langchain.vectorstores import FAISS
 
 from langserve import add_routes
 

examples/agent_custom_streaming/server.py

@@ -47,19 +47,19 @@ Relevant LangChain documentation:
 from typing import Any, AsyncIterator, List, Literal
 
 from fastapi import FastAPI
-from langchain.agents import AgentExecutor
+from langchain.agents import AgentExecutor, tool
 from langchain.agents.format_scratchpad.openai_tools import (
     format_to_openai_tool_messages,
 )
 from langchain.agents.output_parsers.openai_tools import OpenAIToolsAgentOutputParser
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.prompts import MessagesPlaceholder
+from langchain_community.tools.convert_to_openai import format_tool_to_openai_tool
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.runnables import RunnableLambda
-from langchain_core.tools import tool
-from langchain_core.utils.function_calling import format_tool_to_openai_tool
 from langchain_openai import ChatOpenAI
-from pydantic import BaseModel
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel
 
 prompt = ChatPromptTemplate.from_messages(
     [

examples/agent_with_history/server.py

@@ -26,19 +26,19 @@ Relevant LangChain documentation:
 from typing import Any, List, Union
 
 from fastapi import FastAPI
-from langchain.agents import AgentExecutor
+from langchain.agents import AgentExecutor, tool
 from langchain.agents.format_scratchpad.openai_tools import (
     format_to_openai_tool_messages,
 )
 from langchain.agents.output_parsers.openai_tools import OpenAIToolsAgentOutputParser
+from langchain.prompts import MessagesPlaceholder
+from langchain_community.tools.convert_to_openai import format_tool_to_openai_tool
 from langchain_core.messages import AIMessage, FunctionMessage, HumanMessage
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain_core.tools import tool
-from langchain_core.utils.function_calling import format_tool_to_openai_tool
+from langchain_core.prompts import ChatPromptTemplate
 from langchain_openai import ChatOpenAI
-from pydantic import BaseModel, Field
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel, Field
 
 prompt = ChatPromptTemplate.from_messages(
     [

examples/auth/api_handler/server.py

@@ -35,6 +35,7 @@ from typing import Any, List, Optional, Union
 
 from fastapi import Depends, FastAPI, HTTPException, Request, Response, status
 from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
+from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.vectorstores.chroma import Chroma
 from langchain_core.documents import Document
 from langchain_core.runnables import (
@@ -43,11 +44,10 @@ from langchain_core.runnables import (
     RunnableSerializable,
 )
 from langchain_core.vectorstores import VectorStore
-from langchain_openai import OpenAIEmbeddings
-from pydantic import BaseModel, ConfigDict
 from typing_extensions import Annotated
 
 from langserve import APIHandler
+from langserve.pydantic_v1 import BaseModel
 
 
 class User(BaseModel):
@@ -150,9 +150,10 @@ class PerUserVectorstore(RunnableSerializable):
     user_id: Optional[str]
     vectorstore: VectorStore
 
-    model_config = ConfigDict(
-        arbitrary_types_allowed=True,
-    )
+    class Config:
+        # Allow arbitrary types since VectorStore is an abstract interface
+        # and not a pydantic model
+        arbitrary_types_allowed = True
 
     def _invoke(
         self, input: str, config: Optional[RunnableConfig] = None, **kwargs: Any

examples/auth/per_req_config_modifier/server.py

@@ -36,6 +36,7 @@ from typing import Any, Dict, List, Optional, Union
 
 from fastapi import Depends, FastAPI, HTTPException, Request, status
 from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
+from langchain_community.embeddings.openai import OpenAIEmbeddings
 from langchain_community.vectorstores.chroma import Chroma
 from langchain_core.documents import Document
 from langchain_core.runnables import (
@@ -44,11 +45,10 @@ from langchain_core.runnables import (
     RunnableSerializable,
 )
 from langchain_core.vectorstores import VectorStore
-from langchain_openai import OpenAIEmbeddings
-from pydantic import BaseModel, ConfigDict
 from typing_extensions import Annotated
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel
 
 
 class User(BaseModel):
@@ -147,9 +147,10 @@ class PerUserVectorstore(RunnableSerializable):
     user_id: Optional[str]
     vectorstore: VectorStore
 
-    model_config = ConfigDict(
-        arbitrary_types_allowed=True,
-    )
+    class Config:
+        # Allow arbitrary types since VectorStore is an abstract interface
+        # and not a pydantic model
+        arbitrary_types_allowed = True
 
     def _invoke(
         self, input: str, config: Optional[RunnableConfig] = None, **kwargs: Any

examples/chat_playground/legacy_input/server.py

@@ -1,56 +0,0 @@
-#!/usr/bin/env python
-"""Example of a simple chatbot that just passes current conversation
-state back and forth between server and client.
-"""
-from typing import List, Union
-
-from fastapi import FastAPI
-from langchain_anthropic import ChatAnthropic
-from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from pydantic import BaseModel, Field
-
-from langserve import add_routes
-
-app = FastAPI(
-    title="LangChain Server",
-    version="1.0",
-    description="Spin up a simple api server using Langchain's Runnable interfaces",
-)
-
-
-# Declare a chain
-prompt = ChatPromptTemplate.from_messages(
-    [
-        ("system", "You are a helpful, professional assistant named Cob."),
-        MessagesPlaceholder(variable_name="messages"),
-        ("human", "{input}"),
-    ]
-)
-
-chain = prompt | ChatAnthropic(model="claude-2")
-
-
-class InputChat(BaseModel):
-    """Input for the chat endpoint."""
-
-    messages: List[Union[HumanMessage, AIMessage, SystemMessage]] = Field(
-        ...,
-        description="The chat messages representing the current conversation.",
-    )
-
-    input: str
-
-
-add_routes(
-    app,
-    chain.with_types(input_type=InputChat),
-    enable_feedback_endpoint=True,
-    enable_public_trace_link_endpoint=True,
-    playground_type="chat",
-)
-
-if __name__ == "__main__":
-    import uvicorn
-
-    uvicorn.run(app, host="localhost", port=8000)

examples/chat_playground/server.py

@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-"""Example of a simple chatbot that just passes current conversation
-state back and forth between server and client.
-"""
-from typing import List, Union
-
-from fastapi import FastAPI
-from langchain_anthropic.chat_models import ChatAnthropic
-from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from pydantic import BaseModel, Field
-
-from langserve import add_routes
-
-app = FastAPI(
-    title="LangChain Server",
-    version="1.0",
-    description="Spin up a simple api server using Langchain's Runnable interfaces",
-)
-
-
-# Declare a chain
-prompt = ChatPromptTemplate.from_messages(
-    [
-        ("system", "You are a helpful, professional assistant named Cob."),
-        MessagesPlaceholder(variable_name="messages"),
-    ]
-)
-
-chain = prompt | ChatAnthropic(model_name="claude-3-sonnet-20240229")
-
-
-class InputChat(BaseModel):
-    """Input for the chat endpoint."""
-
-    messages: List[Union[HumanMessage, AIMessage, SystemMessage]] = Field(
-        ...,
-        description="The chat messages representing the current conversation.",
-    )
-
-
-add_routes(
-    app,
-    chain.with_types(input_type=InputChat),
-    enable_feedback_endpoint=True,
-    enable_public_trace_link_endpoint=True,
-    playground_type="chat",
-)
-
-if __name__ == "__main__":
-    import uvicorn
-
-    uvicorn.run(app, host="localhost", port=8000)

examples/chat_with_persistence/server.py

@@ -13,14 +13,14 @@ from pathlib import Path
 from typing import Callable, Union
 
 from fastapi import FastAPI, HTTPException
-from langchain_anthropic import ChatAnthropic
-from langchain_community.chat_message_histories import FileChatMessageHistory
+from langchain.chat_models import ChatAnthropic
+from langchain.memory import FileChatMessageHistory
 from langchain_core.chat_history import BaseChatMessageHistory
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
 from langchain_core.runnables.history import RunnableWithMessageHistory
-from pydantic import BaseModel, Field
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel, Field
 
 
 def _is_valid_identifier(value: str) -> bool:

examples/chat_with_persistence_and_user/server.py

@@ -13,13 +13,13 @@ from pathlib import Path
 from typing import Any, Callable, Dict, Union
 
 from fastapi import FastAPI, HTTPException, Request
-from langchain_community.chat_message_histories import FileChatMessageHistory
+from langchain.chat_models import ChatOpenAI
+from langchain.memory import FileChatMessageHistory
+from langchain.schema.runnable.utils import ConfigurableFieldSpec
 from langchain_core import __version__
 from langchain_core.chat_history import BaseChatMessageHistory
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain_core.runnables import ConfigurableFieldSpec
 from langchain_core.runnables.history import RunnableWithMessageHistory
-from langchain_openai import ChatOpenAI
 from typing_extensions import TypedDict
 
 from langserve import add_routes

examples/configurable_agent_executor/server.py

@@ -17,11 +17,15 @@ on the LLM and use the stream_log endpoint rather than stream endpoint.
 from typing import Any, AsyncIterator, Dict, List, Optional, cast
 
 from fastapi import FastAPI
-from langchain.agents import AgentExecutor
+from langchain.agents import AgentExecutor, tool
 from langchain.agents.format_scratchpad import format_to_openai_functions
 from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
-from langchain_community.vectorstores import FAISS
-from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.chat_models import ChatOpenAI
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain.pydantic_v1 import BaseModel
+from langchain.tools.render import format_tool_to_openai_function
+from langchain.vectorstores import FAISS
 from langchain_core.runnables import (
     ConfigurableField,
     ConfigurableFieldSpec,
@@ -29,10 +33,6 @@ from langchain_core.runnables import (
     RunnableConfig,
 )
 from langchain_core.runnables.utils import Input, Output
-from langchain_core.tools import tool
-from langchain_core.utils.function_calling import format_tool_to_openai_function
-from langchain_openai import ChatOpenAI, OpenAIEmbeddings
-from pydantic import BaseModel
 
 from langserve import add_routes
 

examples/configurable_chain/server.py

@@ -10,10 +10,10 @@ from typing import Any, Dict
 
 from fastapi import FastAPI, HTTPException, Request
 from fastapi.middleware.cors import CORSMiddleware
-from langchain_core.output_parsers import StrOutputParser
-from langchain_core.prompts import PromptTemplate
-from langchain_core.runnables import ConfigurableField
-from langchain_openai import ChatOpenAI
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts import PromptTemplate
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import ConfigurableField
 
 from langserve import add_routes
 

examples/configurable_retrieval/server.py

@@ -3,21 +3,20 @@
 from typing import Any, Iterable, List, Optional, Type
 
 from fastapi import FastAPI
-from langchain.schema.vectorstore import VST
-from langchain_community.vectorstores import FAISS
-from langchain_core.documents import Document
-from langchain_core.embeddings import Embeddings
-from langchain_core.retrievers import BaseRetriever
-from langchain_core.runnables import (
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.schema import Document
+from langchain.schema.embeddings import Embeddings
+from langchain.schema.retriever import BaseRetriever
+from langchain.schema.runnable import (
     ConfigurableFieldSingleOption,
     RunnableConfig,
     RunnableSerializable,
 )
-from langchain_core.vectorstores import VectorStore
-from langchain_openai import OpenAIEmbeddings
-from pydantic import BaseModel, Field
+from langchain.schema.vectorstore import VST
+from langchain.vectorstores import FAISS, VectorStore
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel, Field
 
 vectorstore1 = FAISS.from_texts(
     ["cats like fish", "dogs like sticks"], embedding=OpenAIEmbeddings()

examples/conversational_retrieval_chain/server.py

@@ -13,14 +13,17 @@ from operator import itemgetter
 from typing import List, Tuple
 
 from fastapi import FastAPI
-from langchain_community.vectorstores import FAISS
-from langchain_core.output_parsers import StrOutputParser
-from langchain_core.prompts import ChatPromptTemplate, PromptTemplate, format_document
-from langchain_core.runnables import RunnableMap, RunnablePassthrough
-from langchain_openai import ChatOpenAI, OpenAIEmbeddings
-from pydantic import BaseModel, Field
+from langchain.chat_models import ChatOpenAI
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.prompts import ChatPromptTemplate
+from langchain.prompts.prompt import PromptTemplate
+from langchain.schema import format_document
+from langchain.schema.output_parser import StrOutputParser
+from langchain.schema.runnable import RunnableMap, RunnablePassthrough
+from langchain.vectorstores import FAISS
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel, Field
 
 _TEMPLATE = """Given the following conversation and a follow up question, rephrase the 
 follow up question to be a standalone question, in its original language.

examples/file_processing/server.py

@@ -15,10 +15,10 @@ allowing one to upload a binary file using the langserve playground UI.
 import base64
 
 from fastapi import FastAPI
-from langchain_community.document_loaders.parsers.pdf import PDFMinerParser
-from langchain_core.document_loaders import Blob
-from langchain_core.runnables import RunnableLambda
-from pydantic import Field
+from langchain.document_loaders.blob_loaders import Blob
+from langchain.document_loaders.parsers.pdf import PDFMinerParser
+from langchain.pydantic_v1 import Field
+from langchain.schema.runnable import RunnableLambda
 
 from langserve import CustomUserType, add_routes
 

examples/llm/server.py

@@ -2,8 +2,7 @@
 """Example LangChain server exposes multiple runnables (LLMs in this case)."""
 
 from fastapi import FastAPI
-from langchain_anthropic import ChatAnthropic
-from langchain_openai import ChatOpenAI
+from langchain.chat_models import ChatAnthropic, ChatOpenAI
 
 from langserve import add_routes
 
@@ -15,12 +14,12 @@ app = FastAPI(
 
 add_routes(
     app,
-    ChatOpenAI(model="gpt-3.5-turbo-0125"),
+    ChatOpenAI(),
     path="/openai",
 )
 add_routes(
     app,
-    ChatAnthropic(model="claude-3-haiku-20240307"),
+    ChatAnthropic(),
     path="/anthropic",
 )
 

examples/passthrough_dict/server.py

@@ -4,9 +4,9 @@
 from typing import Any, Callable, Dict, List, Optional, TypedDict
 
 from fastapi import FastAPI
-from langchain_core.prompts import ChatPromptTemplate
-from langchain_core.runnables import RunnableParallel, RunnablePassthrough
-from langchain_openai import ChatOpenAI
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts import ChatPromptTemplate
+from langchain.schema.runnable import RunnableMap, RunnablePassthrough
 
 from langserve import add_routes
 
@@ -43,7 +43,7 @@ model = ChatOpenAI()
 
 underlying_chain = prompt | model
 
-wrapped_chain = RunnableParallel(
+wrapped_chain = RunnableMap(
     {
         "output": _create_projection(exclude_keys=["info"]) | underlying_chain,
         "info": _create_projection(include_keys=["info"]),

examples/retrieval/server.py

@@ -1,8 +1,8 @@
 #!/usr/bin/env python
 """Example LangChain server exposes a retriever."""
 from fastapi import FastAPI
-from langchain_community.vectorstores import FAISS
-from langchain_openai import OpenAIEmbeddings
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import FAISS
 
 from langserve import add_routes
 

examples/router/server.py

@@ -9,8 +9,7 @@ See more documentation at:
 https://fastapi.tiangolo.com/tutorial/bigger-applications/
 """
 from fastapi import APIRouter, FastAPI
-from langchain_anthropic import ChatAnthropic
-from langchain_openai import ChatOpenAI
+from langchain.chat_models import ChatAnthropic, ChatOpenAI
 
 from langserve import add_routes
 
@@ -21,13 +20,13 @@ router = APIRouter(prefix="/models")
 # Invocations to this router will appear in trace logs as /models/openai
 add_routes(
     router,
-    ChatOpenAI(model="gpt-3.5-turbo-0125"),
+    ChatOpenAI(),
     path="/openai",
 )
 # Invocations to this router will appear in trace logs as /models/anthropic
 add_routes(
     router,
-    ChatAnthropic(model="claude-3-haiku-20240307"),
+    ChatAnthropic(),
     path="/anthropic",
 )
 

examples/widgets/chat/message_list/server.py

@@ -6,13 +6,13 @@ from typing import List, Union
 
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from langchain_anthropic import ChatAnthropic
+from langchain.chat_models import ChatAnthropic
 from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from pydantic import BaseModel, Field
 
 from langserve import add_routes
+from langserve.pydantic_v1 import BaseModel, Field
 
 app = FastAPI(
     title="LangChain Server",

examples/widgets/chat/tuples/server.py

@@ -6,17 +6,18 @@ from typing import Any, Dict, List, Tuple
 
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from langchain_community.document_loaders.parsers.pdf import PDFMinerParser
-from langchain_core.document_loaders import Blob
-from langchain_core.messages import (
+from langchain.chat_models.openai import ChatOpenAI
+from langchain.document_loaders.blob_loaders import Blob
+from langchain.document_loaders.parsers.pdf import PDFMinerParser
+from langchain.pydantic_v1 import BaseModel, Field
+from langchain.schema.messages import (
     AIMessage,
     BaseMessage,
     FunctionMessage,
     HumanMessage,
 )
-from langchain_core.runnables import RunnableLambda, RunnableParallel
-from langchain_openai import ChatOpenAI
-from pydantic import BaseModel, Field
+from langchain.schema.runnable import RunnableLambda
+from langchain_core.runnables import RunnableParallel
 
 from langserve import CustomUserType
 from langserve.server import add_routes

langserve/_pydantic.py

@@ -1,53 +0,0 @@
-from typing import Any, Dict, Type, cast
-
-from pydantic import BaseModel, ConfigDict, RootModel
-from pydantic.json_schema import (
-    DEFAULT_REF_TEMPLATE,
-    GenerateJsonSchema,
-    JsonSchemaMode,
-)
-
-
-def _create_root_model(name: str, type_: Any) -> Type[RootModel]:
-    """Create a base class."""
-
-    def schema(
-        cls: Type[BaseModel],
-        by_alias: bool = True,
-        ref_template: str = DEFAULT_REF_TEMPLATE,
-    ) -> Dict[str, Any]:
-        # Complains about schema not being defined in superclass
-        schema_ = super(cls, cls).schema(  # type: ignore[misc]
-            by_alias=by_alias, ref_template=ref_template
-        )
-        schema_["title"] = name
-        return schema_
-
-    def model_json_schema(
-        cls: Type[BaseModel],
-        by_alias: bool = True,
-        ref_template: str = DEFAULT_REF_TEMPLATE,
-        schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
-        mode: JsonSchemaMode = "validation",
-    ) -> Dict[str, Any]:
-        # Complains about model_json_schema not being defined in superclass
-        schema_ = super(cls, cls).model_json_schema(  # type: ignore[misc]
-            by_alias=by_alias,
-            ref_template=ref_template,
-            schema_generator=schema_generator,
-            mode=mode,
-        )
-        schema_["title"] = name
-        return schema_
-
-    base_class_attributes = {
-        "__annotations__": {"root": type_},
-        "model_config": ConfigDict(arbitrary_types_allowed=True),
-        "schema": classmethod(schema),
-        "model_json_schema": classmethod(model_json_schema),
-        # Should replace __module__ with caller based on stack frame.
-        "__module__": "langserve._pydantic",
-    }
-
-    custom_root_type = type(name, (RootModel,), base_class_attributes)
-    return cast(Type[RootModel], custom_root_type)

langserve/api_handler.py

@@ -1,11 +1,9 @@
-import asyncio
 import contextlib
 import importlib
 import inspect
 import json
 import os
 import re
-import uuid
 from inspect import isclass
 from typing import (
     Any,
@@ -14,7 +12,6 @@ from typing import (
     Callable,
     Dict,
     Generator,
-    List,
     Literal,
     Mapping,
     Optional,
@@ -27,39 +24,26 @@ from typing import (
 from fastapi import HTTPException
 from fastapi.encoders import jsonable_encoder
 from fastapi.exceptions import RequestValidationError
-from langchain_core._api.beta_decorator import warn_beta
-from langchain_core.callbacks.base import AsyncCallbackHandler
-from langchain_core.callbacks.manager import BaseCallbackManager
-from langchain_core.load.serializable import Serializable
-from langchain_core.runnables import Runnable, RunnableConfig
-from langchain_core.runnables.config import (
-    get_config_list,
-    merge_configs,
-    run_in_executor,
-)
-from langchain_core.tracers import RunLogPatch
+from langchain.callbacks.base import AsyncCallbackHandler
+from langchain.callbacks.tracers.log_stream import RunLogPatch
+from langchain.load.serializable import Serializable
+from langchain.schema.runnable import Runnable, RunnableConfig
+from langchain.schema.runnable.config import get_config_list, merge_configs
 from langsmith import client as ls_client
-from langsmith.schemas import FeedbackIngestToken
 from langsmith.utils import tracing_is_enabled
-from pydantic import BaseModel, Field, RootModel, ValidationError, create_model
 from starlette.requests import Request
 from starlette.responses import JSONResponse, Response
-from typing_extensions import TypedDict
 
-from langserve._pydantic import _create_root_model
 from langserve.callbacks import AsyncEventAggregatorCallback, CallbackEventDict
 from langserve.lzstring import LZString
 from langserve.playground import serve_playground
+from langserve.pydantic_v1 import BaseModel, Field, ValidationError, create_model
 from langserve.schema import (
     BatchResponseMetadata,
     CustomUserType,
     Feedback,
     FeedbackCreateRequest,
-    FeedbackCreateRequestTokenBased,
-    FeedbackToken,
-    InvokeResponseMetadata,
-    PublicTraceLink,
-    PublicTraceLinkCreateRequest,
+    SingletonResponseMetadata,
 )
 from langserve.serialization import WellKnownLCSerializer
 from langserve.validation import (
@@ -120,39 +104,6 @@ def _strip_internal_keys(metadata: Dict[str, Any]) -> Dict[str, Any]:
     return {k: v for k, v in metadata.items() if not k.startswith("__")}
 
 
-def _create_metadata_event(
-    run_id: Optional[uuid.UUID] = None,
-    feedback_key: Optional[str] = None,
-    feedback_ingest_token: Optional[FeedbackIngestToken] = None,
-) -> Dict[str, Any]:
-    """Create a metadata event with the given type and metadata."""
-    data = {
-        "run_id": str(run_id) if run_id else None,
-    }
-    if feedback_ingest_token:
-        if not feedback_key:
-            raise ValueError("Feedback key must be provided if feedback token is given")
-
-        if feedback_ingest_token.expires_at:
-            expires_at = feedback_ingest_token.expires_at.isoformat()
-        else:
-            expires_at = None
-
-        data["feedback_tokens"] = [
-            {
-                "key": feedback_key,
-                "token_url": feedback_ingest_token.url,
-                "expires_at": expires_at,
-            }
-        ]
-
-    metadata = {
-        "event": "metadata",
-        "data": json.dumps(data),
-    }
-    return metadata
-
-
 async def _unpack_request_config(
     *client_sent_configs: Union[BaseModel, Mapping, str],
     config_keys: Sequence[str],
@@ -257,34 +208,25 @@ def _update_config_with_defaults(
         }
         metadata.update(hosted_metadata)
 
-    non_overridable_default_config: RunnableConfig = {
-        "metadata": metadata,
-    }
-
-    if run_name:
-        non_overridable_default_config["run_name"] = run_name
+    non_overridable_default_config = RunnableConfig(
+        run_name=run_name,
+        metadata=metadata,
+    )
 
     # merge_configs is last-writer-wins, so we specifically pass in the
     # overridable configs first, then the user provided configs, then
     # finally the non-overridable configs
-    config = merge_configs(
+    return merge_configs(
         overridable_default_config,
         incoming_config,
         non_overridable_default_config,
     )
 
-    # run_id may have been set by user (and accepted by server) or
-    # it may have been by the user on the server request path.
-    # If it's not set, we'll generate a new one.
-    if "run_id" not in config or config["run_id"] is None:
-        config["run_id"] = str(uuid.uuid4())
-    return config
-
 
 def _unpack_input(validated_model: BaseModel) -> Any:
     """Unpack the decoded input from the validated model."""
-    if isinstance(validated_model, RootModel):
-        model = validated_model.root
+    if hasattr(validated_model, "__root__"):
+        model = validated_model.__root__
     else:
         model = validated_model
 
@@ -308,7 +250,7 @@ def _rename_pydantic_model(model: Type[BaseModel], prefix: str) -> Type[BaseMode
     """Rename the given pydantic model to the given name."""
     return create_model(
         prefix + model.__name__,
-        __config__=model.model_config,
+        __config__=model.__config__,
         **{
             fieldname: (
                 _rename_pydantic_model(field.annotation, prefix)
@@ -317,10 +259,10 @@ def _rename_pydantic_model(model: Type[BaseModel], prefix: str) -> Type[BaseMode
                 Field(
                     field.default,
                     title=fieldname,
-                    description=field.description,
+                    description=field.field_info.description,
                 ),
             )
-            for fieldname, field in model.model_fields.items()
+            for fieldname, field in model.__fields__.items()
         },
     )
 
@@ -337,7 +279,7 @@ def _resolve_model(
     if isclass(type_) and issubclass(type_, BaseModel):
         model = type_
     else:
-        model = _create_root_model(default_name, type_)
+        model = create_model(default_name, __root__=(type_, ...))
 
     hash_ = model.schema_json()
 
@@ -370,7 +312,7 @@ def _add_namespace_to_model(namespace: str, model: Type[BaseModel]) -> Type[Base
         A new model with name prepended with the given namespace.
     """
     model_with_unique_name = _rename_pydantic_model(model, namespace)
-    model_with_unique_name.model_rebuild()
+    model_with_unique_name.update_forward_refs()
     return model_with_unique_name
 
 
@@ -403,7 +345,24 @@ def _with_validation_error_translation() -> Generator[None, None, None]:
     try:
         yield
     except ValidationError as e:
-        raise RequestValidationError(e.errors())
+        raise RequestValidationError(e.errors(), body=e.model)
+
+
+def _get_base_run_id_as_str(
+    event_aggregator: AsyncEventAggregatorCallback,
+) -> Optional[str]:
+    """
+    Uses `event_aggregator` to determine the base run ID for a given run. Returns
+    the run_id as a string, or None if it does not exist.
+    """
+    # The first run in the callback_events list corresponds to the
+    # overall trace for request
+    if event_aggregator.callback_events and event_aggregator.callback_events[0].get(
+        "run_id"
+    ):
+        return str(event_aggregator.callback_events[0].get("run_id"))
+    else:
+        raise AssertionError("No run_id found for the given run")
 
 
 def _json_encode_response(model: BaseModel) -> JSONResponse:
@@ -423,27 +382,27 @@ def _json_encode_response(model: BaseModel) -> JSONResponse:
 
     if isinstance(model, InvokeBaseResponse):
         # Invoke Response
-        # Collapse 'root' from output field if it exists. This is done
+        # Collapse '__root__' from output field if it exists. This is done
         # automatically by fastapi when annotating request and response with
         # We need to do this manually since we're using vanilla JSONResponse
-        if isinstance(obj["output"], dict) and "root" in obj["output"]:
-            obj["output"] = obj["output"]["root"]
+        if isinstance(obj["output"], dict) and "__root__" in obj["output"]:
+            obj["output"] = obj["output"]["__root__"]
 
         if "callback_events" in obj:
             for idx, callback_event in enumerate(obj["callback_events"]):
-                if isinstance(callback_event, dict) and "root" in callback_event:
-                    obj["callback_events"][idx] = callback_event["root"]
+                if isinstance(callback_event, dict) and "__root__" in callback_event:
+                    obj["callback_events"][idx] = callback_event["__root__"]
     elif isinstance(model, BatchBaseResponse):
         if not isinstance(obj["output"], list):
             raise AssertionError("Expected output to be a list")
 
-        # Collapse 'root' from output field if it exists. This is done
+        # Collapse '__root__' from output field if it exists. This is done
         # automatically by fastapi when annotating request and response with
         # We need to do this manually since we're using vanilla JSONResponse
         outputs = obj["output"]
         for idx, output in enumerate(outputs):
-            if isinstance(output, dict) and "root" in output:
-                outputs[idx] = output["root"]
+            if isinstance(output, dict) and "__root__" in output:
+                outputs[idx] = output["__root__"]
 
         if "callback_events" in obj:
             if not isinstance(obj["callback_events"], list):
@@ -451,8 +410,11 @@ def _json_encode_response(model: BaseModel) -> JSONResponse:
 
             for callback_events in obj["callback_events"]:
                 for idx, callback_event in enumerate(callback_events):
-                    if isinstance(callback_event, dict) and "root" in callback_event:
-                        callback_events[idx] = callback_event["root"]
+                    if (
+                        isinstance(callback_event, dict)
+                        and "__root__" in callback_event
+                    ):
+                        callback_events[idx] = callback_event["__root__"]
     else:
         raise AssertionError(
             f"Expected a InvokeBaseResponse or BatchBaseResponse got: {type(model)}"
@@ -467,35 +429,14 @@ def _add_callbacks(
     """Add the callback aggregator to the config."""
     if "callbacks" not in config:
         config["callbacks"] = []
-    if "callbacks" in config:
-        if isinstance(config["callbacks"], list):
-            config["callbacks"].extend(callbacks)
-        elif isinstance(config["callbacks"], BaseCallbackManager):
-            for callback in callbacks:
-                config["callbacks"].add_handler(callback, inherit=True)
+    config["callbacks"].extend(callbacks)
 
 
 _MODEL_REGISTRY = {}
 _SEEN_NAMES = set()
 
 
-class PerKeyFeedbackConfig(TypedDict):
-    """Per feedback configuration.
-
-    Use to configure the feedback token.
-    """
-
-    key: str
-
-
 # PUBLIC API
-class TokenFeedbackConfig(TypedDict):
-    """Token feedback configuration.
-
-    This is used to configure the feedback tokens.
-    """
-
-    key_configs: List[PerKeyFeedbackConfig]
 
 
 class APIHandler:
@@ -521,14 +462,8 @@ class APIHandler:
         config_keys: Sequence[str] = ("configurable",),
         include_callback_events: bool = False,
         enable_feedback_endpoint: bool = False,
-        # token feedback config configures **token** based feedback which
-        # is different from the feedback endpoint.
-        # Read the documentation for more details
-        token_feedback_config: Optional[TokenFeedbackConfig] = None,
-        enable_public_trace_link_endpoint: bool = False,
         per_req_config_modifier: Optional[PerRequestConfigModifier] = None,
         stream_log_name_allow_list: Optional[Sequence[str]] = None,
-        playground_type: Literal["default", "chat"] = "default",
     ) -> None:
         """Create an API handler for the given runnable.
 
@@ -567,18 +502,6 @@ class APIHandler:
                 to LangSmith. Disabled by default. If this flag is disabled or LangSmith
                 tracing is not enabled for the runnable, then 4xx errors will be thrown
                 when accessing the feedback endpoint
-                **Attention** this is distinct from `token_feedback_config`.
-            token_feedback_config: optional configuration for token based feedback.
-                **Attention** this is distinct from `enable_feedback_endpoint`.
-                When provided, feedback tokens will be included in the response
-                metadata that can be used to provide feedback on the run.
-            enable_public_trace_link_endpoint:  Whether to enable an endpoint for
-                end-users to publicly view LangSmith traces of your chain runs.
-                WARNING: THIS WILL EXPOSE THE INTERNAL STATE OF YOUR RUN AND CHAIN AS
-                A PUBLICY ACCESSIBLE LINK.
-                If this flag is disabled or LangSmith tracing is not enabled for
-                the runnable, then 400 errors will be thrown when accessing the
-                endpoint.
             per_req_config_modifier: optional function that can be used to update the
                 RunnableConfig for a given run based on the raw request. This is useful,
                 for example, if the user wants to pass in a header containing
@@ -625,30 +548,13 @@ class APIHandler:
         self._per_req_config_modifier = per_req_config_modifier
         self._serializer = WellKnownLCSerializer()
         self._enable_feedback_endpoint = enable_feedback_endpoint
-        self._enable_public_trace_link_endpoint = enable_public_trace_link_endpoint
         self._names_in_stream_allow_list = stream_log_name_allow_list
 
-        if token_feedback_config:
-            if len(token_feedback_config["key_configs"]) != 1:
-                raise NotImplementedError(
-                    "Only one key is supported for now for token feedback "
-                    "configuration. For example specify: "
-                    "{'key_configs': [{'key': 'correctness'}]}"
-                )
-
-            warn_beta(
-                message="Token feedback is in beta. This API may change in the future."
-            )
-
-        self._token_feedback_config = token_feedback_config
-        self._token_feedback_enabled = token_feedback_config is not None
-
         # Client is patched using mock.patch, if changing the names
         # remember to make relevant updates in the unit tests.
         self._langsmith_client = (
             ls_client.Client()
-            if tracing_is_enabled()
-            and (enable_feedback_endpoint or self._token_feedback_enabled)
+            if tracing_is_enabled() and enable_feedback_endpoint
             else None
         )
 
@@ -699,12 +605,9 @@ class APIHandler:
         )
         # Generate the response models
         self._InvokeResponse = create_invoke_response_model(
-            model_namespace, output_type_, include_callback_events
+            model_namespace, output_type_
         )
-        self._BatchResponse = create_batch_response_model(
-            model_namespace, output_type_, include_callback_events
-        )
-        self.playground_type = playground_type
+        self._BatchResponse = create_batch_response_model(model_namespace, output_type_)
 
     @property
     def InvokeRequest(self) -> Type[BaseModel]:
@@ -807,33 +710,10 @@ class APIHandler:
             endpoint="invoke",
             server_config=server_config,
         )
-        run_id = config["run_id"]
 
         event_aggregator = AsyncEventAggregatorCallback()
         _add_callbacks(config, [event_aggregator])
-
-        invoke_coro = self._runnable.ainvoke(
-            input_,
-            config=config,
-        )
-
-        feedback_key: Optional[str]
-
-        # If there's feedback enabled, let's create a presigned feedback token
-        if self._token_feedback_enabled:
-            feedback_key = self._token_feedback_config["key_configs"][0]["key"]
-            feedback_coro = run_in_executor(
-                None,
-                self._langsmith_client.create_presigned_feedback_token,
-                run_id,
-                feedback_key,
-            )
-
-            output, feedback_token = await asyncio.gather(invoke_coro, feedback_coro)
-        else:
-            feedback_key = None
-            output = await invoke_coro
-            feedback_token = None
+        output = await self._runnable.ainvoke(input_, config=config)
 
         if self._include_callback_events:
             callback_events = [
@@ -849,17 +729,8 @@ class APIHandler:
                 # Callbacks are scrubbed and exceptions are converted to
                 # serializable format before returned in the response.
                 callback_events=callback_events,
-                metadata=InvokeResponseMetadata(
-                    run_id=run_id,
-                    feedback_tokens=[
-                        FeedbackToken(
-                            key=feedback_key,
-                            token_url=feedback_token.url,
-                            expires_at=feedback_token.expires_at.isoformat(),
-                        )
-                    ]
-                    if feedback_token
-                    else [],
+                metadata=SingletonResponseMetadata(
+                    run_id=_get_base_run_id_as_str(event_aggregator)
                 ),
             ),
         )
@@ -955,31 +826,7 @@ class APIHandler:
                 )
             )
 
-        run_ids = [config["run_id"] for config in final_configs]
-
-        batch_coro = self._runnable.abatch(inputs, config=final_configs)
-
-        feedback_key: Optional[str]
-
-        # If there's feedback enabled, let's create a presigned feedback token
-        if self._token_feedback_enabled:
-            feedback_key = self._token_feedback_config["key_configs"][0]["key"]
-            feedback_coros = [
-                run_in_executor(
-                    None,
-                    self._langsmith_client.create_presigned_feedback_token,
-                    run_id,
-                    feedback_key,
-                )
-                for run_id in run_ids
-            ]
-            response = await asyncio.gather(batch_coro, *feedback_coros)
-            output = response[0]
-            feedback_tokens = response[1:]
-        else:
-            feedback_key = None
-            output = await batch_coro
-            feedback_tokens = []
+        output = await self._runnable.abatch(inputs, config=final_configs)
 
         if self._include_callback_events:
             callback_events = [
@@ -994,35 +841,13 @@ class APIHandler:
         else:
             callback_events = []
 
-        if feedback_tokens:
-            metadatas = [
-                InvokeResponseMetadata(
-                    run_id=run_id,
-                    feedback_tokens=[
-                        FeedbackToken(
-                            key=feedback_key,
-                            token_url=feedback_token.url,
-                            expires_at=feedback_token.expires_at.isoformat(),
-                        )
-                    ],
-                )
-                for run_id, feedback_token in zip(run_ids, feedback_tokens)
-            ]
-        else:
-            metadatas = [
-                InvokeResponseMetadata(run_id=run_id, feedback_tokens=[])
-                for run_id in run_ids
-            ]
-
         obj = self._BatchResponse(
             output=self._serializer.dumpd(output),
             callback_events=callback_events,
             metadata=BatchResponseMetadata(
-                run_ids=run_ids,
-                responses=metadatas,
+                run_ids=[_get_base_run_id_as_str(agg) for agg in aggregators]
             ),
         )
-
         return _json_encode_response(obj)
 
     async def stream(
@@ -1083,7 +908,8 @@ class APIHandler:
                 Originates from the client side. This config must be validated.
             server_config: optional server configuration that will be merged
         """
-        run_id = None
+        err_event = {}
+        validation_exception: Optional[BaseException] = None
         try:
             config, input_ = await self._get_config_and_input(
                 request,
@@ -1091,30 +917,36 @@ class APIHandler:
                 endpoint="stream",
                 server_config=server_config,
             )
-            run_id = config["run_id"]
-        except BaseException:
-            # Exceptions will be properly translated by default FastAPI middleware
-            # to either 422 (on input validation) or 500 internal server errors.
-            raise
-
-        if self._token_feedback_enabled:
-            # Create task to create a presigned feedback token
-            feedback_key: Optional[str] = self._token_feedback_config["key_configs"][0][
-                "key"
-            ]
-            feedback_coro = run_in_executor(
-                None,
-                self._langsmith_client.create_presigned_feedback_token,
-                run_id,
-                feedback_key,
-            )
-            task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro)
-        else:
-            feedback_key = None
-            task = None
+        except BaseException as e:
+            validation_exception = e
+            if isinstance(e, RequestValidationError):
+                err_event = {
+                    "event": "error",
+                    "data": json.dumps(
+                        {"status_code": 422, "message": repr(e.errors())}
+                    ),
+                }
+            else:
+                err_event = {
+                    "event": "error",
+                    # Do not expose the error message to the client since
+                    # the message may contain sensitive information.
+                    "data": json.dumps(
+                        {"status_code": 500, "message": "Internal Server Error"}
+                    ),
+                }
 
         async def _stream() -> AsyncIterator[dict]:
             """Stream the output of the runnable."""
+            if validation_exception:
+                yield err_event
+                if isinstance(validation_exception, RequestValidationError):
+                    return
+                else:
+                    raise AssertionError(
+                        "Internal server error"
+                    ) from validation_exception
+
             try:
                 config_w_callbacks = config.copy()
                 event_aggregator = AsyncEventAggregatorCallback()
@@ -1124,19 +956,16 @@ class APIHandler:
                     input_,
                     config=config_w_callbacks,
                 ):
-                    # Send a metadata event as soon as possible
-                    if not has_sent_metadata:
-                        if task is not None and not task.done():
-                            continue
-                        if task is None:
-                            feedback_token = None
-                        else:
-                            feedback_token = task.result()
-
+                    if not has_sent_metadata and event_aggregator.callback_events:
+                        yield {
+                            "event": "metadata",
+                            "data": json.dumps(
+                                {
+                                    "run_id": _get_base_run_id_as_str(event_aggregator),
+                                }
+                            ),
+                        }
                         has_sent_metadata = True
-                        yield _create_metadata_event(
-                            run_id, feedback_key, feedback_token
-                        )
 
                     yield {
                         # EventSourceResponse expects a string for data
@@ -1172,6 +1001,8 @@ class APIHandler:
         View documentation for endpoint at the end of the file.
         It's attached to _stream_log_docs endpoint.
         """
+        err_event = {}
+        validation_exception: Optional[BaseException] = None
         try:
             config, input_ = await self._get_config_and_input(
                 request,
@@ -1179,39 +1010,56 @@ class APIHandler:
                 endpoint="stream_log",
                 server_config=server_config,
             )
-            run_id = config["run_id"]
-        except BaseException:
-            # Exceptions will be properly translated by default FastAPI middleware
-            # to either 422 (on input validation) or 500 internal server errors.
-            raise
+        except BaseException as e:
+            validation_exception = e
+            if isinstance(e, RequestValidationError):
+                err_event = {
+                    "event": "error",
+                    "data": json.dumps(
+                        {"status_code": 422, "message": repr(e.errors())}
+                    ),
+                }
+            else:
+                err_event = {
+                    "event": "error",
+                    # Do not expose the error message to the client since
+                    # the message may contain sensitive information.
+                    "data": json.dumps(
+                        {"status_code": 500, "message": "Internal Server Error"}
+                    ),
+                }
+
         try:
             body = await request.json()
             with _with_validation_error_translation():
                 stream_log_request = StreamLogParameters(**body)
         except json.JSONDecodeError:
-            raise RequestValidationError(errors=["Invalid JSON body"])
-        except RequestValidationError:
-            raise
-
-        feedback_key: Optional[str]
-
-        if self._token_feedback_enabled:
-            # Create task to create a presigned feedback token
-            feedback_key: str = self._token_feedback_config["key_configs"][0]["key"]
-            feedback_coro = run_in_executor(
-                None,
-                self._langsmith_client.create_presigned_feedback_token,
-                run_id,
-                feedback_key,
-            )
-            task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro)
-        else:
-            feedback_key = None
-            task = None
+            # Body as text
+            validation_exception = RequestValidationError(errors=["Invalid JSON body"])
+            err_event = {
+                "event": "error",
+                "data": json.dumps(
+                    {"status_code": 422, "message": "Invalid JSON body"}
+                ),
+            }
+        except RequestValidationError as e:
+            validation_exception = e
+            err_event = {
+                "event": "error",
+                "data": json.dumps({"status_code": 422, "message": repr(e.errors())}),
+            }
 
         async def _stream_log() -> AsyncIterator[dict]:
             """Stream the output of the runnable."""
-            has_sent_metadata = False
+            if validation_exception:
+                yield err_event
+                if isinstance(validation_exception, RequestValidationError):
+                    return
+                else:
+                    raise AssertionError(
+                        "Internal server error"
+                    ) from validation_exception
+
             try:
                 async for chunk in self._runnable.astream_log(
                     input_,
@@ -1245,18 +1093,6 @@ class APIHandler:
                             "data": self._serializer.dumps(data).decode("utf-8"),
                             "event": "data",
                         }
-
-                    # Send a metadata event as soon as possible
-                    if not has_sent_metadata and self._token_feedback_enabled:
-                        if task is None:
-                            raise AssertionError("Feedback token task was not created.")
-                        if not task.done():
-                            continue
-                        feedback_token = task.result()
-                        yield _create_metadata_event(
-                            run_id, feedback_key, feedback_token
-                        )
-                        has_sent_metadata = True
                 yield {"event": "end"}
             except BaseException:
                 yield {
@@ -1280,7 +1116,8 @@ class APIHandler:
         server_config: Optional[RunnableConfig] = None,
     ) -> EventSourceResponse:
         """Stream events from the runnable."""
-        run_id = None
+        err_event = {}
+        validation_exception: Optional[BaseException] = None
         try:
             config, input_ = await self._get_config_and_input(
                 request,
@@ -1288,36 +1125,44 @@ class APIHandler:
                 endpoint="stream_events",
                 server_config=server_config,
             )
-            run_id = config["run_id"]
-        except BaseException:
-            # Exceptions will be properly translated by default FastAPI middleware
-            # to either 422 (on input validation) or 500 internal server errors.
-            raise
+        except BaseException as e:
+            validation_exception = e
+            if isinstance(e, RequestValidationError):
+                err_event = {
+                    "event": "error",
+                    "data": json.dumps(
+                        {"status_code": 422, "message": repr(e.errors())}
+                    ),
+                }
+            else:
+                err_event = {
+                    "event": "error",
+                    # Do not expose the error message to the client since
+                    # the message may contain sensitive information.
+                    "data": json.dumps(
+                        {"status_code": 500, "message": "Internal Server Error"}
+                    ),
+                }
 
         try:
             body = await request.json()
             with _with_validation_error_translation():
                 stream_events_request = StreamEventsParameters(**body)
         except json.JSONDecodeError:
-            raise RequestValidationError(errors=["Invalid JSON body"])
-        except RequestValidationError:
-            raise
-
-        feedback_key: Optional[str]
-
-        if self._token_feedback_enabled:
-            # Create task to create a presigned feedback token
-            feedback_key: str = self._token_feedback_config["key_configs"][0]["key"]
-            feedback_coro = run_in_executor(
-                None,
-                self._langsmith_client.create_presigned_feedback_token,
-                run_id,
-                feedback_key,
-            )
-            task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro)
-        else:
-            feedback_key = None
-            task = None
+            # Body as text
+            validation_exception = RequestValidationError(errors=["Invalid JSON body"])
+            err_event = {
+                "event": "error",
+                "data": json.dumps(
+                    {"status_code": 422, "message": "Invalid JSON body"}
+                ),
+            }
+        except RequestValidationError as e:
+            validation_exception = e
+            err_event = {
+                "event": "error",
+                "data": json.dumps({"status_code": 422, "message": repr(e.errors())}),
+            }
 
         async def _stream_events() -> AsyncIterator[dict]:
             """Stream the output of the runnable."""
@@ -1326,7 +1171,14 @@ class APIHandler:
                     "Please upgrade langchain-core>=0.1.14 to use astream_events"
                 )
 
-            has_sent_metadata = False
+            if validation_exception:
+                yield err_event
+                if isinstance(validation_exception, RequestValidationError):
+                    return
+                else:
+                    raise AssertionError(
+                        "Internal server error"
+                    ) from validation_exception
 
             try:
                 async for event in self._runnable.astream_events(
@@ -1354,18 +1206,6 @@ class APIHandler:
                             "data": self._serializer.dumps(event).decode("utf-8"),
                             "event": "data",
                         }
-
-                    # Send a metadata event as soon as possible
-                    if not has_sent_metadata and self._token_feedback_enabled:
-                        if task is None:
-                            raise AssertionError("Feedback token task was not created.")
-                        if not task.done():
-                            continue
-                        feedback_token = task.result()
-                        yield _create_metadata_event(
-                            run_id, feedback_key, feedback_token
-                        )
-                        has_sent_metadata = True
                 yield {"event": "end"}
             except BaseException:
                 yield {
@@ -1501,20 +1341,14 @@ class APIHandler:
             + "/playground"
         )
         feedback_enabled = tracing_is_enabled() and self._enable_feedback_endpoint
-        public_trace_link_enabled = (
-            tracing_is_enabled() and self._enable_public_trace_link_endpoint
-        )
 
         return await serve_playground(
             self._runnable.with_config(config),
             self._runnable.with_config(config).input_schema,
-            self._runnable.with_config(config).output_schema,
             self._config_keys,
             playground_url,
             file_path,
             feedback_enabled,
-            public_trace_link_enabled,
-            playground_type=self.playground_type,
         )
 
     async def create_feedback(
@@ -1532,7 +1366,7 @@ class APIHandler:
             raise HTTPException(
                 400,
                 "The feedback endpoint is only accessible when LangSmith is "
-                + "enabled on your LangServe server.\n"
+                + "enabled on your LangServe server."
                 + "Please set `enable_feedback_endpoint=True` on your route and "
                 + "set the proper environment variables",
             )
@@ -1563,39 +1397,6 @@ class APIHandler:
             comment=feedback_from_langsmith.comment,
         )
 
-    async def create_feedback_from_token(
-        self, create_request: FeedbackCreateRequestTokenBased
-    ) -> None:
-        """Send feedback on an individual run to langsmith."""
-
-        if not tracing_is_enabled() or not self._token_feedback_enabled:
-            raise HTTPException(
-                400,
-                (
-                    "The feedback endpoint is only accessible when LangSmith is "
-                    "enabled on your LangServe server.\n "
-                    "Please set the proper environment variables to enable LangSmith."
-                    "In addition, please ensure that the token_feedback_config "
-                    "has been properly specified when using add_routes or APIHandler."
-                ),
-            )
-
-        metadata = create_request.metadata or {}
-        metadata.update(
-            {
-                "from_langserve": True,
-            }
-        )
-
-        self._langsmith_client.create_feedback_from_token(
-            create_request.token_or_url,
-            score=create_request.score,
-            value=create_request.value,
-            comment=create_request.comment,
-            correction=create_request.correction,
-            metadata=metadata,
-        )
-
     async def _check_feedback_enabled(self) -> None:
         """Check if feedback is enabled for the runnable.
 
@@ -1605,7 +1406,7 @@ class APIHandler:
             raise HTTPException(
                 400,
                 "The feedback endpoint is only accessible when LangSmith is "
-                + "enabled on your LangServe server.\n"
+                + "enabled on your LangServe server."
                 + "Please set `enable_feedback_endpoint=True` on your route and "
                 + "set the proper environment variables",
             )
@@ -1613,44 +1414,3 @@ class APIHandler:
     async def check_feedback_enabled(self) -> bool:
         """Check if feedback is enabled for the runnable."""
         return self._enable_feedback_endpoint or not tracing_is_enabled()
-
-    async def create_public_trace_link(
-        self, public_trace_link_create_req: PublicTraceLinkCreateRequest
-    ) -> PublicTraceLink:
-        """Send feedback on an individual run to langsmith
-
-        Note that a successful response means that feedback was successfully
-        submitted. It does not guarantee that the feedback is recorded by
-        langsmith. Requests may be silently rejected if they are
-        unauthenticated or invalid by the server.
-        """
-        if not tracing_is_enabled() or not self._enable_public_trace_link_endpoint:
-            raise HTTPException(
-                400,
-                "The public trace link endpoint is only accessible when "
-                + "LangSmith is enabled on your LangServe server.\n"
-                + "Please set `enable_public_trace_link_endpoint=True` on your "
-                + "route and set the proper environment variables",
-            )
-        public_url = self._langsmith_client.share_run(
-            public_trace_link_create_req.run_id,
-        )
-        return PublicTraceLink(public_url=public_url)
-
-    async def _check_public_trace_link_enabled(self) -> None:
-        """Check if public trace links are enabled for the runnable.
-
-        This endpoint is private since it will be deprecated in the future.
-        """
-        if not (await self.check_public_trace_link_enabled()):
-            raise HTTPException(
-                400,
-                "The public trace link endpoint is only accessible when "
-                + "LangSmith is enabled on your LangServe server.\n"
-                + "Please set `enable_public_trace_link_endpoint=True` on your "
-                + "route and set the proper environment variables",
-            )
-
-    async def check_public_trace_link_enabled(self) -> bool:
-        """Check if public trace links are enabled for the runnable."""
-        return self._enable_public_trace_link_endpoint or not tracing_is_enabled()

langserve/callbacks.py

@@ -4,16 +4,13 @@ import uuid
 from typing import Any, Dict, List, Optional, Sequence
 from uuid import UUID
 
-from langchain_core.agents import AgentAction, AgentFinish
-from langchain_core.callbacks import AsyncCallbackHandler
-from langchain_core.callbacks.manager import (
+from langchain.callbacks.base import AsyncCallbackHandler
+from langchain.callbacks.manager import (
     BaseRunManager,
     ahandle_event,
     handle_event,
 )
-from langchain_core.documents import Document
-from langchain_core.messages import BaseMessage
-from langchain_core.outputs import LLMResult
+from langchain.schema import AgentAction, AgentFinish, BaseMessage, Document, LLMResult
 from typing_extensions import TypedDict
 
 

langserve/chat_playground/.eslintrc.cjs

@@ -1,18 +0,0 @@
-module.exports = {
-  root: true,
-  env: { browser: true, es2020: true },
-  extends: [
-    'eslint:recommended',
-    'plugin:@typescript-eslint/recommended',
-    'plugin:react-hooks/recommended',
-  ],
-  ignorePatterns: ['dist', '.eslintrc.cjs'],
-  parser: '@typescript-eslint/parser',
-  plugins: ['react-refresh'],
-  rules: {
-    'react-refresh/only-export-components': [
-      'warn',
-      { allowConstantExport: true },
-    ],
-  },
-}

langserve/chat_playground/.gitignore

@@ -1,28 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
-
-.yarn
-
-!dist

langserve/chat_playground/README.md

@@ -1,27 +0,0 @@
-# React + TypeScript + Vite
-
-This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
-
-Currently, two official plugins are available:
-
-- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast Refresh
-- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
-
-## Expanding the ESLint configuration
-
-If you are developing a production application, we recommend updating the configuration to enable type aware lint rules:
-
-- Configure the top-level `parserOptions` property like this:
-
-```js
-   parserOptions: {
-    ecmaVersion: 'latest',
-    sourceType: 'module',
-    project: ['./tsconfig.json', './tsconfig.node.json'],
-    tsconfigRootDir: __dirname,
-   },
-```
-
-- Replace `plugin:@typescript-eslint/recommended` to `plugin:@typescript-eslint/recommended-type-checked` or `plugin:@typescript-eslint/strict-type-checked`
-- Optionally add `plugin:@typescript-eslint/stylistic-type-checked`
-- Install [eslint-plugin-react](https://github.com/jsx-eslint/eslint-plugin-react) and add `plugin:react/recommended` & `plugin:react/jsx-runtime` to the `extends` list

langserve/chat_playground/dist/index.html

@@ -1,42 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" href="/____LANGSERVE_BASE_URL/favicon.ico" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Chat Playground</title>
-    <script type="module" crossorigin src="/____LANGSERVE_BASE_URL/assets/index-53ad47d4.js"></script>
-    <link rel="stylesheet" href="/____LANGSERVE_BASE_URL/assets/index-434ff580.css">
-  </head>
-  <body>
-    <div id="root"></div>
-    <script>
-      try {
-        window.CONFIG_SCHEMA = ____LANGSERVE_CONFIG_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.INPUT_SCHEMA = ____LANGSERVE_INPUT_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.OUTPUT_SCHEMA = ____LANGSERVE_OUTPUT_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.FEEDBACK_ENABLED = ____LANGSERVE_FEEDBACK_ENABLED;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.PUBLIC_TRACE_LINK_ENABLED = ____LANGSERVE_PUBLIC_TRACE_LINK_ENABLED;
-      } catch (e) {
-        // pass
-      }
-    </script>
-    
-  </body>
-</html>

langserve/chat_playground/index.html

@@ -1,40 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" href="/favicon.ico" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Chat Playground</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script>
-      try {
-        window.CONFIG_SCHEMA = ____LANGSERVE_CONFIG_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.INPUT_SCHEMA = ____LANGSERVE_INPUT_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.OUTPUT_SCHEMA = ____LANGSERVE_OUTPUT_SCHEMA;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.FEEDBACK_ENABLED = ____LANGSERVE_FEEDBACK_ENABLED;
-      } catch (e) {
-        // pass
-      }
-      try {
-        window.PUBLIC_TRACE_LINK_ENABLED = ____LANGSERVE_PUBLIC_TRACE_LINK_ENABLED;
-      } catch (e) {
-        // pass
-      }
-    </script>
-    <script type="module" src="/src/main.tsx"></script>
-  </body>
-</html>

langserve/chat_playground/package.json

@@ -1,52 +0,0 @@
-{
-  "name": "langserve-chat-playground",
-  "private": true,
-  "version": "0.0.0",
-  "type": "module",
-  "packageManager": "yarn@1.22.19",
-  "scripts": {
-    "dev": "vite",
-    "build": "tsc && vite build",
-    "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0",
-    "preview": "vite preview"
-  },
-  "dependencies": {
-    "@emotion/react": "^11.11.1",
-    "@emotion/styled": "^11.11.0",
-    "@jsonforms/core": "^3.2.1",
-    "@microsoft/fetch-event-source": "^2.0.1",
-    "@mui/icons-material": "^5.14.11",
-    "@mui/material": "^5.14.11",
-    "@mui/x-date-pickers": "^6.16.0",
-    "@radix-ui/react-toggle-group": "^1.0.4",
-    "clsx": "^2.0.0",
-    "dayjs": "^1.11.10",
-    "fast-json-patch": "^3.1.1",
-    "lodash": "^4.17.21",
-    "lz-string": "^1.5.0",
-    "react": "^18.2.0",
-    "react-dom": "^18.2.0",
-    "react-toastify": "^9.1.3",
-    "swr": "^2.2.4",
-    "tailwind-merge": "^1.14.0",
-    "use-debounce": "^9.0.4",
-    "vaul": "^0.7.3"
-  },
-  "devDependencies": {
-    "@types/lodash": "^4.14.200",
-    "@types/react": "^18.2.15",
-    "@types/react-dom": "^18.2.7",
-    "@typescript-eslint/eslint-plugin": "^6.0.0",
-    "@typescript-eslint/parser": "^6.0.0",
-    "@vitejs/plugin-react": "^4.0.3",
-    "autoprefixer": "^10.4.16",
-    "eslint": "^8.45.0",
-    "eslint-plugin-react-hooks": "^4.6.0",
-    "eslint-plugin-react-refresh": "^0.4.3",
-    "postcss": "^8.4.31",
-    "tailwindcss": "^3.3.3",
-    "typescript": "^5.0.2",
-    "vite": "^4.4.5",
-    "vite-plugin-svgr": "^4.1.0"
-  }
-}

langserve/chat_playground/postcss.config.js

@@ -1,6 +0,0 @@
-export default {
-  plugins: {
-    tailwindcss: {},
-    autoprefixer: {},
-  },
-};

langserve/chat_playground/src/App.css

@@ -1,116 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer base {
-  * {
-    color: #043D5C;
-    font-weight: 300;
-    @font-face {
-      font-family: 'Manrope';
-      src: url('/dist/Manrope-VariableFont_wght.ttf') format('truetype');
-    }
-    border-color: #043D5C;
-  }
-  
-  input,
-  textarea,
-  select {
-    background: transparent;
-  }
-
-  /* clash between MUI and Tailwind */
-  input:focus,
-  textarea:focus,
-  select:focus {
-    box-shadow: none;
-    outline: none;
-  }
-
-  :root {
-    --popover: 0 0% 100%;
-    --background: #F8F7FF;
-
-    --divider-500: 210 40% 96.1%; /* slate-100 */
-    --divider-700: 214.3 31.8% 91.4%; /* slate-200 */
-
-    --ls-blue: 211.5 91.8% 61.8%;
-    --ls-black: 222.2 47.4% 11.2%; /* slate-900 */
-    --ls-gray-100: 215.4 16.3% 46.9%; /* slate-500 */
-    --ls-gray-200: 212.7 26.8% 83.9%; /* slate-300 */
-    --ls-gray-300: 214.3 31.8% 91.4%; /* slate-200 */
-    --ls-gray-400: 210 40% 96.1%; /* slate-100 */
-
-    --button-green: #162E2E;
-    --button-green-disabled: rgba(4, 61, 92, 0.20);
-    --button-inline: #006BA41A;
-  }
-
-  @media (prefers-color-scheme: dark) {
-    :root {
-      --popover: 240 11.6% 8.4%;
-
-      --divider-500: 217.2 32.6% 17.5%; /* slate-800 */
-      --divider-700: 215.3 25% 26.7%; /* slate-700 */
-
-      --ls-blue: 211.5 91.8% 61.8%;
-      --ls-black: 0 0% 100%; /* white */
-      --ls-gray-100: 215 20.2% 65.1%; /* slate-400 */
-      --ls-gray-200: 215.4 16.3% 46.9%; /* slate-500 */
-      --ls-gray-300: 215.3 25% 26.7%; /* slate-700 */
-      --ls-gray-400: 217.2 32.6% 17.5%; /* slate-800 */
-    }
-  }
-}
-
-.control {
-  @apply flex flex-col border border-divider-700 rounded-lg p-3 gap-1 relative bg-background transition-all outline-ls-blue/20;
-  @apply focus-within:border-ls-blue focus-within:outline focus-within:outline-4 focus-within:outline-ls-blue/20;
-}
-
-.control > label,
-.control h6 {
-  @apply text-xs uppercase font-semibold text-ls-gray-100;
-}
-
-.control div .MuiGrid-item {
-  @apply pt-0;
-}
-
-.control > select {
-  @apply -ml-1;
-}
-
-.control > .input-description,
-.control > .validation {
-  @apply absolute right-3 top-3 text-xs;
-}
-
-.group-layout {
-  @apply flex flex-col gap-4 bg-background p-4 border border-divider-700 rounded-lg;
-}
-
-.no-scrollbar {
-  scrollbar-width: none;
-}
-
-.no-scrollbar::-webkit-scrollbar {
-  display: none;
-}
-
-.vertical-layout {
-  @apply flex flex-col gap-4;
-}
-
-.share-button:hover {
-  background: linear-gradient(270deg, #BCB2FD 0.29%, #D65622 92%);
-}
-
-.share-button:hover > * {
-  color: white;
-}
-
-a {
-  color: blue;
-  text-decoration: underline;
-}

langserve/chat_playground/src/App.tsx

@@ -1,73 +0,0 @@
-import "./App.css";
-
-import { ChatWindow } from "./components/ChatWindow";
-import { AppCallbackContext, useAppStreamCallbacks } from "./useStreamCallback";
-import { useInputSchema, useOutputSchema } from "./useSchemas";
-import { useStreamLog } from "./useStreamLog";
-
-export function App() {
-  const { context, callbacks } = useAppStreamCallbacks();
-  const { startStream, stopStream } = useStreamLog(callbacks);
-  const inputSchema = useInputSchema({});
-  const outputSchema = useOutputSchema({});
-  const inputProps = inputSchema?.data?.schema?.properties;
-  const outputDataSchema = outputSchema?.data?.schema;
-  const isLoading = inputProps === undefined || outputDataSchema === undefined;
-  const inputKeys = Object.keys(inputProps ?? {});
-  const inputSchemaSupported = (
-    inputKeys.length === 1 &&
-    inputProps?.[inputKeys[0]].type === "array"
-  ) || (
-    inputKeys.length === 2 && (
-      (
-        inputProps?.[inputKeys[0]].type === "array" ||
-        inputProps?.[inputKeys[1]].type === "string"
-      ) || (
-        inputProps?.[inputKeys[0]].type === "string" ||
-        inputProps?.[inputKeys[1]].type === "array" 
-      )
-    )
-  );
-  const outputSchemaSupported = (
-    outputDataSchema?.anyOf?.find((option) => option.properties?.type?.enum?.includes("ai")) ||
-    outputDataSchema?.oneOf?.find((option) => option.properties?.type?.enum?.includes("ai")) ||
-    outputDataSchema?.type === "string"
-  );
-  const isSupported = isLoading || (inputSchemaSupported && outputSchemaSupported);
-  return (
-    <div className="flex items-center flex-col text-ls-black bg-background">
-      <AppCallbackContext.Provider value={context}>
-        {isSupported
-          ? <ChatWindow
-              startStream={startStream}
-              stopStream={stopStream}
-              messagesInputKey={inputProps?.[inputKeys[0]].type === "array" ? inputKeys[0] : inputKeys[1]}
-              inputKey={inputProps?.[inputKeys[0]].type === "string" ? inputKeys[0] : inputKeys[1]}
-            ></ChatWindow>
-          : <div className="h-[100vh] w-[100vw] flex justify-center items-center text-xl p-16">
-              <span>
-                The chat playground is only supported for chains that take one of the following as input:
-                <ul className="mt-8 list-disc ml-6">
-                  <li>
-                    a dict with a single key containing a list of messages
-                  </li>
-                  <li>
-                    a dict with two keys: one a string input, one an list of messages
-                  </li>
-                </ul>
-                <br />
-                and which return either an <code>AIMessage</code> or a string.
-                <br />
-                <br />
-                You can test this chain in the default LangServe playground instead.
-                <br />
-                <br />
-                To use the default playground, set <code>playground_type="default"</code> when adding the route in your backend.
-              </span>
-            </div>}
-      </AppCallbackContext.Provider>
-    </div>
-  );
-}
-
-export default App;

langserve/chat_playground/src/assets/ArrowUp.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-arrow-up"><line x1="12" y1="19" x2="12" y2="5"></line><polyline points="5 12 12 5 19 12"></polyline></svg>

langserve/chat_playground/src/assets/ChatIcon.svg

@@ -1,6 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M7.7588 2H16.2414C17.0464 1.99999 17.7107 1.99998 18.2519 2.04419C18.814 2.09012 19.3307 2.18868 19.8161 2.43597C20.5687 2.81947 21.1806 3.43139 21.5641 4.18404C21.8114 4.66937 21.91 5.18608 21.9559 5.74817C22.0001 6.28936 22.0001 6.95372 22.0001 7.75868V13.2413C22.0001 14.0463 22.0001 14.7106 21.9559 15.2518C21.91 15.8139 21.8114 16.3306 21.5641 16.816C21.1806 17.5686 20.5687 18.1805 19.8161 18.564C19.3307 18.8113 18.814 18.9099 18.2519 18.9558C17.7107 19 17.0464 19 16.2414 19H13.6838C13.0197 19 12.8263 19.0047 12.6504 19.0408C12.4738 19.0771 12.303 19.137 12.1425 19.219C11.9826 19.3007 11.8286 19.4178 11.31 19.8327L8.89688 21.7632C8.7132 21.9102 8.52597 22.06 8.36137 22.1689C8.20394 22.273 7.8987 22.4593 7.50172 22.4597C7.0449 22.4602 6.61276 22.2525 6.32778 21.8955C6.08012 21.5852 6.03492 21.2305 6.01785 21.0425C6 20.846 6.00005 20.6062 6.00009 20.371L6.0001 18.9918C5.60829 18.9789 5.27229 18.9461 4.96482 18.8637C3.58445 18.4938 2.50626 17.4156 2.13639 16.0353C1.9993 15.5236 1.99962 14.933 2.00005 14.1376C2.00007 14.0924 2.0001 14.0465 2.0001 14L2.0001 7.7587C2.00008 6.95373 2.00007 6.28937 2.04429 5.74817C2.09022 5.18608 2.18878 4.66937 2.43607 4.18404C2.81956 3.43139 3.43149 2.81947 4.18413 2.43597C4.66947 2.18868 5.18617 2.09012 5.74827 2.04419C6.28947 1.99998 6.95383 1.99999 7.7588 2ZM5.91113 4.03755C5.47272 4.07337 5.24852 4.1383 5.09212 4.21799C4.71579 4.40973 4.40983 4.7157 4.21808 5.09202C4.13839 5.24842 4.07347 5.47262 4.03765 5.91104C4.00087 6.36113 4.0001 6.94342 4.0001 7.8V14C4.0001 14.9944 4.00869 15.2954 4.06824 15.5176C4.25318 16.2078 4.79227 16.7469 5.48246 16.9319C5.70474 16.9914 6.00574 17 7.0001 17C7.55238 17 8.0001 17.4477 8.0001 18V19.9194L10.0606 18.271C10.0834 18.2528 10.1058 18.2348 10.1279 18.2171C10.55 17.8791 10.8691 17.6237 11.2326 17.4379C11.5536 17.274 11.8952 17.1541 12.2483 17.0817C12.6482 16.9996 13.0569 16.9998 13.5976 17C13.626 17 13.6547 17 13.6838 17H16.2001C17.0567 17 17.639 16.9992 18.0891 16.9624C18.5275 16.9266 18.7517 16.8617 18.9081 16.782C19.2844 16.5903 19.5904 16.2843 19.7821 15.908C19.8618 15.7516 19.9267 15.5274 19.9625 15.089C19.9993 14.6389 20.0001 14.0566 20.0001 13.2V7.8C20.0001 6.94342 19.9993 6.36113 19.9625 5.91104C19.9267 5.47262 19.8618 5.24842 19.7821 5.09202C19.5904 4.7157 19.2844 4.40973 18.9081 4.21799C18.7517 4.1383 18.5275 4.07337 18.0891 4.03755C17.639 4.00078 17.0567 4 16.2001 4H7.8001C6.94352 4 6.36122 4.00078 5.91113 4.03755Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/CheckCircleIcon.svg

@@ -1,5 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M12 5.45455C8.38505 5.45455 5.45455 8.38505 5.45455 12C5.45455 15.615 8.38505 18.5455 12 18.5455C15.615 18.5455 18.5455 15.615 18.5455 12C18.5455 8.38505 15.615 5.45455 12 5.45455ZM4 12C4 7.58172 7.58172 4 12 4C16.4183 4 20 7.58172 20 12C20 16.4183 16.4183 20 12 20C7.58172 20 4 16.4183 4 12ZM15.787 9.30392C16.071 9.58794 16.071 10.0484 15.787 10.3324L11.4233 14.6961C11.1393 14.9801 10.6788 14.9801 10.3948 14.6961L8.21301 12.5143C7.929 12.2303 7.929 11.7697 8.21301 11.4857C8.49703 11.2017 8.95751 11.2017 9.24153 11.4857L10.9091 13.1533L14.7585 9.30392C15.0425 9.01991 15.503 9.01991 15.787 9.30392Z"
-    fill="currentColor" />
-</svg>

langserve/chat_playground/src/assets/CheckCircleIcon2.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-check-circle"><path d="M22 11.08V12a10 10 0 1 1-5.93-9.14"></path><polyline points="22 4 12 14.01 9 11.01"></polyline></svg>

langserve/chat_playground/src/assets/ChevronRight.svg

@@ -1,6 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M8.29289 5.29289C8.68342 4.90237 9.31658 4.90237 9.70711 5.29289L15.7071 11.2929C16.0976 11.6834 16.0976 12.3166 15.7071 12.7071L9.70711 18.7071C9.31658 19.0976 8.68342 19.0976 8.29289 18.7071C7.90237 18.3166 7.90237 17.6834 8.29289 17.2929L13.5858 12L8.29289 6.70711C7.90237 6.31658 7.90237 5.68342 8.29289 5.29289Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/CircleSpinIcon.svg

@@ -1,15 +0,0 @@
-<svg
-  aria-hidden="true"
-  viewBox="0 0 100 101"
-  fill="none"
-  xmlns="http://www.w3.org/2000/svg"
->
-  <path
-    d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4013 91.5094 50 91.5094C72.5987 91.5094 90.9186 73.1895 90.9186 50.5908C90.9186 27.9921 72.5987 9.67226 50 9.67226C27.4013 9.67226 9.08144 27.9921 9.08144 50.5908Z"
-    fill="currentColor"
-  />
-  <path
-    d="M93.9676 39.0409C96.393 38.4038 97.8624 35.9116 97.0079 33.5539C95.2932 28.8227 92.871 24.3692 89.8167 20.348C85.8452 15.1192 80.8826 10.7238 75.2124 7.41289C69.5422 4.10194 63.2754 1.94025 56.7698 1.05124C51.7666 0.367541 46.6976 0.446843 41.7345 1.27873C39.2613 1.69328 37.813 4.19778 38.4501 6.62326C39.0873 9.04874 41.5694 10.4717 44.0505 10.1071C47.8511 9.54855 51.7191 9.52689 55.5402 10.0491C60.8642 10.7766 65.9928 12.5457 70.6331 15.2552C75.2735 17.9648 79.3347 21.5619 82.5849 25.841C84.9175 28.9121 86.7997 32.2913 88.1811 35.8758C89.083 38.2158 91.5421 39.6781 93.9676 39.0409Z"
-    fill="currentFill"
-  />
-</svg>

langserve/chat_playground/src/assets/CodeIcon.svg

@@ -1,6 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M8.70711 5.29289C9.09763 5.68342 9.09763 6.31658 8.70711 6.70711L3.41421 12L8.70711 17.2929C9.09763 17.6834 9.09763 18.3166 8.70711 18.7071C8.31658 19.0976 7.68342 19.0976 7.29289 18.7071L1.29289 12.7071C0.902369 12.3166 0.902369 11.6834 1.29289 11.2929L7.29289 5.29289C7.68342 4.90237 8.31658 4.90237 8.70711 5.29289ZM15.2929 5.29289C15.6834 4.90237 16.3166 4.90237 16.7071 5.29289L22.7071 11.2929C23.0976 11.6834 23.0976 12.3166 22.7071 12.7071L16.7071 18.7071C16.3166 19.0976 15.6834 19.0976 15.2929 18.7071C14.9024 18.3166 14.9024 17.6834 15.2929 17.2929L20.5858 12L15.2929 6.70711C14.9024 6.31658 14.9024 5.68342 15.2929 5.29289Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/CopyIcon.svg

@@ -1,6 +0,0 @@
-<svg width="25" height="25" viewBox="0 0 25 25" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path
-    d="M4.5 19.7783C4.5 21.5132 5.35498 22.3848 7.07324 22.3848H14.876C16.5942 22.3848 17.4492 21.5049 17.4492 19.7783V18.2427H18.9019C20.6118 18.2427 21.4751 17.3628 21.4751 15.6362V8.896C21.4751 7.875 21.2676 7.22754 20.645 6.58838L16.4531 2.33008C15.8638 1.72412 15.1665 1.5 14.2783 1.5H11.0991C9.38916 1.5 8.52588 2.37988 8.52588 4.10645V5.64209H7.07324C5.36328 5.64209 4.5 6.51367 4.5 8.24854V19.7783ZM16.6606 11.0874L12.0869 6.43066C11.4561 5.7832 10.9331 5.64209 10.0034 5.64209H9.8623V4.13135C9.8623 3.30957 10.3022 2.83643 11.1655 2.83643H14.8345V7.09473C14.8345 8.05762 15.2993 8.51416 16.2539 8.51416H20.1387V15.6113C20.1387 16.4414 19.6904 16.9062 18.8271 16.9062H17.4492V13.2954C17.4492 12.2329 17.3247 11.7681 16.6606 11.0874ZM16.0381 6.89551V3.49219L19.79 7.31055H16.4448C16.1543 7.31055 16.0381 7.18604 16.0381 6.89551ZM5.83643 19.7534V8.26514C5.83643 7.45166 6.27637 6.97852 7.13965 6.97852H9.8623V11.793C9.8623 12.8389 10.3936 13.3618 11.4229 13.3618H16.1128V19.7534C16.1128 20.5835 15.6646 21.0483 14.8096 21.0483H7.13135C6.27637 21.0483 5.83643 20.5835 5.83643 19.7534ZM11.5806 12.1084C11.2485 12.1084 11.1157 11.9756 11.1157 11.6436V7.28564L15.8555 12.1084H11.5806Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/EmptyState.svg

@@ -1,21 +0,0 @@
-<svg width="76" height="64" viewBox="0 0 76 64" fill="none" xmlns="http://www.w3.org/2000/svg">
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langserve/chat_playground/src/assets/RefreshCW.svg

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-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-refresh-cw"><polyline points="23 4 23 10 17 10"></polyline><polyline points="1 20 1 14 7 14"></polyline><path d="M3.51 9a9 9 0 0 1 14.85-3.36L23 10M1 14l4.64 4.36A9 9 0 0 0 20.49 15"></path></svg>

langserve/chat_playground/src/assets/SendIcon.svg

@@ -1,6 +0,0 @@
-<svg width="20" height="21" viewBox="0 0 20 21" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M3.36651 2.85015C3.37578 2.85432 3.38505 2.85849 3.39431 2.86266L17.353 9.14401C17.5431 9.22954 17.7338 9.31532 17.8826 9.39905C18.0208 9.47682 18.2876 9.63803 18.4396 9.94548C18.6122 10.2947 18.6122 10.7043 18.4396 11.0535C18.2876 11.361 18.0208 11.5222 17.8826 11.5999C17.7338 11.6837 17.5431 11.7694 17.353 11.855L3.37128 18.1467C3.17613 18.2346 2.98174 18.3221 2.81784 18.3789C2.6676 18.4309 2.36452 18.5263 2.02916 18.4327C1.65046 18.327 1.34355 18.0493 1.20065 17.6831C1.07411 17.3587 1.13883 17.0476 1.17565 16.8929C1.21583 16.7242 1.28354 16.522 1.35152 16.3191L3.28934 10.5306L1.35514 4.70306C1.35194 4.69342 1.34873 4.68377 1.34553 4.67412C1.27829 4.47166 1.21126 4.26982 1.17161 4.10129C1.13521 3.94656 1.07155 3.63604 1.19844 3.31251C1.34183 2.9469 1.64871 2.66994 2.02706 2.56467C2.36186 2.47151 2.66425 2.56656 2.81444 2.61859C2.97804 2.67526 3.17198 2.76257 3.36651 2.85015ZM3.05652 4.5383L4.75852 9.66616H8.75109C9.21133 9.66616 9.58442 10.0393 9.58442 10.4995C9.58442 10.9597 9.21133 11.3328 8.75109 11.3328H4.77834L3.06259 16.458L16.3037 10.4995L3.05652 4.5383Z"
-    fill="#fff" />
-</svg>
-  

langserve/chat_playground/src/assets/ShareIcon.svg

@@ -1,6 +0,0 @@
-<svg width="20" height="21" viewBox="0 0 20 21" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M9.41009 2.41009C9.73553 2.08466 10.2632 2.08466 10.5886 2.41009L13.9219 5.74343C14.2474 6.06886 14.2474 6.5965 13.9219 6.92194C13.5965 7.24738 13.0689 7.24738 12.7434 6.92194L10.8327 5.01119V12.9993C10.8327 13.4596 10.4596 13.8327 9.99935 13.8327C9.53911 13.8327 9.16602 13.4596 9.16602 12.9993V5.01119L7.25527 6.92194C6.92984 7.24738 6.4022 7.24738 6.07676 6.92194C5.75132 6.5965 5.75132 6.06886 6.07676 5.74343L9.41009 2.41009ZM2.49935 9.66602C2.95959 9.66602 3.33268 10.0391 3.33268 10.4993V13.9993C3.33268 14.7132 3.33333 15.1984 3.36398 15.5735C3.39383 15.9388 3.44793 16.1257 3.51434 16.256C3.67413 16.5696 3.9291 16.8246 4.2427 16.9844C4.37303 17.0508 4.55987 17.1049 4.92521 17.1347C5.30029 17.1654 5.78553 17.166 6.49935 17.166H13.4993C14.2132 17.166 14.6984 17.1654 15.0735 17.1347C15.4388 17.1049 15.6257 17.0508 15.756 16.9844C16.0696 16.8246 16.3246 16.5696 16.4844 16.256C16.5508 16.1257 16.6049 15.9388 16.6347 15.5735C16.6654 15.1984 16.666 14.7132 16.666 13.9993V10.4993C16.666 10.0391 17.0391 9.66602 17.4993 9.66602C17.9596 9.66602 18.3327 10.0391 18.3327 10.4993V14.0338C18.3327 14.7046 18.3327 15.2582 18.2959 15.7092C18.2576 16.1776 18.1754 16.6082 17.9694 17.0127C17.6498 17.6399 17.1399 18.1498 16.5126 18.4694C16.1082 18.6754 15.6776 18.7576 15.2092 18.7959C14.7582 18.8327 14.2046 18.8327 13.5338 18.8327H6.46491C5.79411 18.8327 5.24049 18.8327 4.78949 18.7959C4.32108 18.7576 3.89049 18.6754 3.48605 18.4694C2.85884 18.1498 2.34891 17.6399 2.02933 17.0127C1.82325 16.6082 1.74112 16.1776 1.70284 15.7092C1.666 15.2582 1.66601 14.7046 1.66602 14.0338L1.66602 10.4993C1.66602 10.0391 2.03911 9.66602 2.49935 9.66602Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/ThumbsDownIcon.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-thumbs-down"><path d="M10 15v4a3 3 0 0 0 3 3l4-9V2H5.72a2 2 0 0 0-2 1.7l-1.38 9a2 2 0 0 0 2 2.3zm7-13h2.67A2.31 2.31 0 0 1 22 4v7a2.31 2.31 0 0 1-2.33 2H17"></path></svg>

langserve/chat_playground/src/assets/ThumbsUpIcon.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-thumbs-up"><path d="M14 9V5a3 3 0 0 0-3-3l-4 9v11h11.28a2 2 0 0 0 2-1.7l1.38-9a2 2 0 0 0-2-2.3zM7 22H4a2 2 0 0 1-2-2v-7a2 2 0 0 1 2-2h3"></path></svg>

langserve/chat_playground/src/assets/TrashIcon.svg

@@ -1,6 +0,0 @@
-<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-  <path fill-rule="evenodd" clip-rule="evenodd"
-    d="M8 3C8 2.44772 8.44772 2 9 2H15C15.5523 2 16 2.44772 16 3C16 3.55228 15.5523 4 15 4H9C8.44772 4 8 3.55228 8 3ZM4.99224 5H3C2.44772 5 2 5.44772 2 6C2 6.55228 2.44772 7 3 7H4.06445L4.70614 16.6254C4.75649 17.3809 4.79816 18.006 4.87287 18.5149C4.95066 19.0447 5.07405 19.5288 5.33109 19.98C5.73123 20.6824 6.33479 21.247 7.06223 21.5996C7.52952 21.826 8.0208 21.917 8.55459 21.9593C9.06728 22 9.69383 22 10.4509 22H13.5491C14.3062 22 14.9327 22 15.4454 21.9593C15.9792 21.917 16.4705 21.826 16.9378 21.5996C17.6652 21.247 18.2688 20.6824 18.6689 19.98C18.926 19.5288 19.0493 19.0447 19.1271 18.5149C19.2018 18.006 19.2435 17.3808 19.2939 16.6253L19.9356 7H21C21.5523 7 22 6.55228 22 6C22 5.44772 21.5523 5 21 5H19.0078C19.0019 4.99995 18.9961 4.99995 18.9903 5H5.00974C5.00392 4.99995 4.99809 4.99995 4.99224 5ZM17.9311 7H6.06889L6.69907 16.4528C6.75274 17.2578 6.78984 17.8034 6.85166 18.2243C6.9117 18.6333 6.98505 18.8429 7.06888 18.99C7.26895 19.3412 7.57072 19.6235 7.93444 19.7998C8.08684 19.8736 8.30086 19.9329 8.71286 19.9656C9.13703 19.9993 9.68385 20 10.4907 20H13.5093C14.3161 20 14.863 19.9993 15.2871 19.9656C15.6991 19.9329 15.9132 19.8736 16.0656 19.7998C16.4293 19.6235 16.7311 19.3412 16.9311 18.99C17.015 18.8429 17.0883 18.6333 17.1483 18.2243C17.2102 17.8034 17.2473 17.2578 17.3009 16.4528L17.9311 7Z"
-    fill="currentColor" />
-</svg>
-  

langserve/chat_playground/src/assets/XCircle.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="feather feather-x-circle"><circle cx="12" cy="12" r="10"></circle><line x1="15" y1="9" x2="9" y2="15"></line><line x1="9" y1="9" x2="15" y2="15"></line></svg>

langserve/chat_playground/src/components/AutosizeTextarea.tsx

@@ -1,55 +0,0 @@
-import { Ref } from "react";
-import { cn } from "../utils/cn";
-
-const COMMON_CLS = cn(
-  "text-lg col-[1] row-[1] m-0 resize-none overflow-hidden whitespace-pre-wrap break-words border-none bg-transparent p-0"
-);
-
-export function AutosizeTextarea(props: {
-  id?: string;
-  inputRef?: Ref<HTMLTextAreaElement>;
-  value?: string | null | undefined;
-  placeholder?: string;
-  className?: string;
-  onChange?: (e: string) => void;
-  onFocus?: () => void;
-  onBlur?: () => void;
-  onKeyDown?: (e: React.KeyboardEvent<HTMLTextAreaElement>) => void;
-  autoFocus?: boolean;
-  readOnly?: boolean;
-  cursorPointer?: boolean;
-  disabled?: boolean;
-  fullHeight?: boolean;
-}) {
-  return (
-    <div className={cn("grid w-full", props.className) + (props.fullHeight ? "" : " max-h-80 overflow-auto")}>
-      <textarea
-        ref={props.inputRef}
-        id={props.id}
-        className={cn(
-          COMMON_CLS,
-          "text-transparent caret-black"
-        )}
-        disabled={props.disabled}
-        value={props.value ?? ""}
-        rows={1}
-        onChange={(e) => {
-          const target = e.target as HTMLTextAreaElement;
-          props.onChange?.(target.value);
-        }}
-        onFocus={props.onFocus}
-        onBlur={props.onBlur}
-        placeholder={props.placeholder}
-        readOnly={props.readOnly}
-        autoFocus={props.autoFocus && !props.readOnly}
-        onKeyDown={props.onKeyDown}
-      />
-      <div
-        aria-hidden
-        className={cn(COMMON_CLS, "pointer-events-none select-none")}
-      >
-        {props.value}{" "}
-      </div>
-    </div>
-  );
-}

langserve/chat_playground/src/components/ChatMessage.tsx

@@ -1,118 +0,0 @@
-import { useState } from "react";
-import { CorrectnessFeedback } from "./feedback/CorrectnessFeedback";
-import { resolveApiUrl } from "../utils/url";
-import { AutosizeTextarea } from "./AutosizeTextarea";
-import TrashIcon from "../assets/TrashIcon.svg?react";
-import RefreshCW from "../assets/RefreshCW.svg?react";
-
-export type ChatMessageType = "human" | "ai" | "function" | "tool" | "system";
-
-export type ChatMessageBody = {
-  type: ChatMessageType;
-  content: string;
-  runId?: string;
-}
-
-export function ChatMessage(props: {
-  message: ChatMessageBody;
-  isLoading?: boolean;
-  onError?: (e: any) => void;
-  onTypeChange?: (newValue: string) => void;
-  onChange?: (newValue: string) => void;
-  onRemove?: (e: any) => void;
-  onRegenerate?: (e?: any) => void;
-  isFinalMessage?: boolean;
-  feedbackEnabled?: boolean;
-  publicTraceLinksEnabled?: boolean;
-}) {
-  const { message, feedbackEnabled, publicTraceLinksEnabled, onError, isLoading } = props;
-  const { content, type, runId } = message;
-
-  const [publicTraceLink, setPublicTraceLink] = useState<string | null>(null);
-  const [messageActionIsLoading, setMessageActionIsLoading] = useState(false);
-  const openPublicTrace = async () => {
-    if (messageActionIsLoading) {
-      return;
-    }
-    if (publicTraceLink) {
-      window.open(publicTraceLink, '_blank');
-      return;
-    }
-    setMessageActionIsLoading(true);
-    const payload = { run_id: runId };
-    const response = await fetch(resolveApiUrl("/public_trace_link"), {
-      method: "PUT",
-      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify(payload),
-    });
-
-    if (!response.ok) {
-      if (response.status === 404) {
-        onError?.(new Error(`Feedback endpoint not found. Please enable it in your LangServe endpoint.`));
-      } else {
-        try {
-          const errorResponse = await response.json();
-          onError?.(new Error(`${errorResponse.detail}`));
-        } catch (e) {
-          onError?.(new Error(`Request failed with status: ${response.status}`));
-        }
-      }
-      setMessageActionIsLoading(false);
-      throw new Error(`Failed request ${response.status}`)
-    }
-    const parsedResponse = await response.json();
-    setMessageActionIsLoading(false);
-    setPublicTraceLink(parsedResponse.public_url);
-    window.open(parsedResponse.public_url, '_blank');
-  };
-
-  return (
-    <div className="mb-8 group">
-      <div className="flex justify-between">
-        <select
-          className="font-medium text-transform uppercase mb-2 appearance-none"
-          defaultValue={type}
-          onChange={(e) => props.onTypeChange?.(e.target.value)}
-        >
-          <option value="human">HUMAN</option>
-          <option value="ai">AI</option>
-          <option value="system">SYSTEM</option>
-        </select>
-        <span className="flex">
-          {props.isFinalMessage &&
-            type === "human" && 
-            <RefreshCW className="opacity-0 group-hover:opacity-50 transition-opacity duration-200 cursor-pointer h-4 w-4 mr-2" onMouseUp={props.onRegenerate}></RefreshCW>}
-          <TrashIcon
-            className="opacity-0 group-hover:opacity-50 transition-opacity duration-200 cursor-pointer h-4 w-4"
-            onMouseUp={props.onRemove}
-          ></TrashIcon>
-        </span>
-      </div>
-      <AutosizeTextarea value={content} fullHeight={true} onChange={props.onChange} onKeyDown={(e) => {
-        if (
-          e.key === 'Enter' &&
-          !e.shiftKey &&
-          props.isFinalMessage &&
-          type === "human"
-        ) {
-          e.preventDefault();
-          props.onRegenerate?.();
-        }
-      }}></AutosizeTextarea>
-      {type === "ai" && !isLoading && runId != null && (
-        <div className="mt-2 flex items-center">
-          {feedbackEnabled && <span className="mr-2"><CorrectnessFeedback runId={runId} onError={props.onError}></CorrectnessFeedback></span>}
-          {publicTraceLinksEnabled && <>
-            <button
-              className="bg-button-inline p-2 rounded-lg text-xs font-medium hover:opacity-80"
-              disabled={messageActionIsLoading || isLoading}
-              onMouseUp={openPublicTrace}
-            >
-              🛠️ View LangSmith trace
-            </button>
-          </>}
-        </div>
-      )}
-    </div> 
-  )
-};

langserve/chat_playground/src/components/ChatWindow.tsx

@@ -1,217 +0,0 @@
-import { useState, useRef } from "react";
-import { ToastContainer, toast } from 'react-toastify';
-import 'react-toastify/dist/ReactToastify.css';
-
-import { AutosizeTextarea } from "./AutosizeTextarea";
-import {
-  ChatMessage,
-  type ChatMessageType,
-  type ChatMessageBody,
-} from "./ChatMessage";
-import { ShareDialog } from "./ShareDialog";
-import { useStreamCallback } from "../useStreamCallback";
-
-import ArrowUp from "../assets/ArrowUp.svg?react";
-import CircleSpinIcon from "../assets/CircleSpinIcon.svg?react";
-import EmptyState from "../assets/EmptyState.svg?react";
-import LangServeLogo from "../assets/LangServeLogo.svg?react";
-import { useFeedback, usePublicTraceLink } from "../useSchemas";
-
-export type AIMessage = {
-  content: string;
-  type: "AIMessage" | "AIMessageChunk";
-  name?: string;
-  additional_kwargs?: { [key: string]: unknown };
-}
-
-export function isAIMessage(x: unknown): x is AIMessage {
-  return x != null &&
-    typeof (x as AIMessage).content === "string" &&
-    ["AIMessageChunk", "AIMessage"].includes((x as AIMessage).type);
-}
-
-export function ChatWindow(props: {
-  startStream: (input: unknown, config: unknown) => Promise<void>;
-  stopStream: (() => void) | undefined;
-  messagesInputKey: string;
-  inputKey?: string;
-}) {
-  const { startStream, messagesInputKey, inputKey } = props;
-
-  const [currentInputValue, setCurrentInputValue] = useState("");
-  const [isLoading, setIsLoading] = useState(false);
-  const [messages, setMessages] = useState<ChatMessageBody[]>([]);
-  const messageInputRef = useRef<HTMLTextAreaElement>(null);
-
-  const feedbackEnabled = useFeedback()
-  const publicTraceLinksEnabled = usePublicTraceLink();
-
-  const submitMessage = () => {
-    const submittedValue = currentInputValue;
-    if (submittedValue.length === 0 || isLoading) {
-      return;
-    }
-    setIsLoading(true);
-    const newMessages = [
-      ...messages,
-      { type: "human", content: submittedValue } as const
-    ];
-    setMessages(newMessages);
-    setCurrentInputValue("");
-    // TODO: Add config schema support
-    if (inputKey === undefined) {
-      startStream({ [messagesInputKey]: newMessages }, {});
-    } else {
-      startStream({
-        [messagesInputKey]: newMessages.slice(0, -1),
-        [inputKey]: newMessages[newMessages.length - 1].content
-      }, {});
-    }
-  };
-
-  const regenerateMessages = () => {
-    if (isLoading) {
-      return;
-    }
-    setIsLoading(true);
-    // TODO: Add config schema support
-    if (inputKey === undefined) {
-      startStream({ [messagesInputKey]: messages }, {});
-    } else {
-      startStream({
-        [messagesInputKey]: messages.slice(0, -1),
-        [inputKey]: messages[messages.length - 1].content
-      }, {});
-    }
-  };
-  
-  useStreamCallback("onStart", () => {
-    setMessages((prevMessages) => [
-      ...prevMessages,
-      { type: "ai", content: "" },
-    ]);
-  });
-  useStreamCallback("onChunk", (_chunk, aggregatedState) => {
-    const finalOutput = aggregatedState?.final_output;
-    if (typeof finalOutput === "string") {
-      setMessages((prevMessages) => [
-        ...prevMessages.slice(0, -1),
-        { type: "ai", content: finalOutput, runId: aggregatedState?.id }
-      ]); 
-    } else if (isAIMessage(finalOutput)) {
-      setMessages((prevMessages) => [
-        ...prevMessages.slice(0, -1),
-        { type: "ai", content: finalOutput.content, runId: aggregatedState?.id }
-      ]);
-    }
-  });
-  useStreamCallback("onSuccess", () => {
-    setIsLoading(false);
-  });
-  useStreamCallback("onError", (e) => {
-    setIsLoading(false);
-    toast(e.message + "\nCheck your backend logs for errors.", { hideProgressBar: true });
-    setCurrentInputValue(messages[messages.length - 2]?.content);
-    setMessages((prevMessages) => [
-      ...prevMessages.slice(0, -2),
-    ]);
-  });
-
-  return (
-    <div className="flex flex-col h-screen w-screen">
-      <nav className="flex items-center justify-between p-8">
-        <div className="flex items-center">
-          <LangServeLogo />
-          <span className="ml-1">Playground</span>
-        </div>
-        <div className="flex items-center space-x-4">
-          <ShareDialog config={{}}>
-            <button
-              type="button"
-              className="px-3 py-1 border rounded-full px-8 py-2 share-button"
-            >
-              <span>Share</span>
-            </button>
-          </ShareDialog>
-        </div>
-      </nav>
-      <div className="flex-grow flex flex-col items-center justify-center mt-8">
-        {messages.length > 0 ? (
-          <div className="flex flex-col-reverse basis-0 overflow-auto flex-re grow max-w-[640px] w-[640px]">
-            {messages.map((message, i) => {
-              return (
-                <ChatMessage
-                  message={message}
-                  key={i}
-                  isLoading={isLoading}
-                  onError={(e: any) => toast(e.message, { hideProgressBar: true })}
-                  feedbackEnabled={feedbackEnabled.data}
-                  publicTraceLinksEnabled={publicTraceLinksEnabled.data}
-                  isFinalMessage={i === messages.length - 1}
-                  onRemove={() => setMessages(
-                    (previousMessages) => [...previousMessages.slice(0, i), ...previousMessages.slice(i + 1)]
-                  )}
-                  onTypeChange={(newValue) => {
-                    setMessages(
-                      (previousMessages) => [
-                        ...previousMessages.slice(0, i),
-                        {...message, type: newValue as ChatMessageType},
-                        ...previousMessages.slice(i + 1)
-                      ]
-                    )
-                  }}
-                  onChange={(newValue) => {
-                    setMessages(
-                      (previousMessages) => [
-                        ...previousMessages.slice(0, i),
-                        {...message, content: newValue},
-                        ...previousMessages.slice(i + 1)
-                      ]
-                    );
-                  }}
-                  onRegenerate={() => regenerateMessages()}
-                ></ChatMessage>
-              );
-            }).reverse()}
-          </div>
-        ) : (
-          <div className="flex flex-col items-center justify-center">
-            <EmptyState />
-            <h1 className="text-lg">Start testing your application</h1>
-          </div>
-        )}
-      </div>
-      <div className="m-16 mt-4 flex justify-center">
-        <div className="flex items-center p-3 rounded-[48px] border shadow-sm max-w-[768px] grow" onClick={() => messageInputRef.current?.focus()}>
-          <AutosizeTextarea
-            inputRef={messageInputRef}
-            className="flex-grow mr-4 ml-8 border-none focus:ring-0 py-2 cursor-text"
-            placeholder="Send a message..."
-            value={currentInputValue}
-            onChange={(newValue) => {
-              setCurrentInputValue(newValue);
-            }}
-            onKeyDown={(e) => {
-              if (e.key === 'Enter' && !e.shiftKey) {
-                e.preventDefault();
-                submitMessage();
-              }
-            }}
-          />
-          <button
-            className={"flex items-center justify-center px-3 py-1 rounded-[40px] " + (isLoading ? "" : currentInputValue.length > 0 ? "bg-button-green" : "bg-button-green-disabled")}
-            onClick={(e) => {
-              e.preventDefault();
-              submitMessage();
-            }}
-          >
-            {isLoading 
-              ? <CircleSpinIcon className="animate-spin w-5 h-5 text-background fill-background" />
-              : <ArrowUp className="mx-2 my-2 h-5 w-5 stroke-white" />}
-          </button>
-        </div>
-      </div>
-      <ToastContainer />
-    </div>
-  )
-}

langserve/chat_playground/src/components/ShareDialog.tsx

@@ -1,141 +0,0 @@
-import { Drawer } from "vaul";
-import { ReactNode, useEffect, useMemo, useRef, useState } from "react";
-import CheckCircleIcon from "../assets/CheckCircleIcon.svg?react";
-import CodeIcon from "../assets/CodeIcon.svg?react";
-import CopyIcon from "../assets/CopyIcon.svg?react";
-import PadlockIcon from "../assets/PadlockIcon.svg?react";
-import ShareIcon from "../assets/ShareIcon.svg?react";
-import { compressToEncodedURIComponent } from "lz-string";
-import { getStateFromUrl } from "../utils/url";
-
-const URL_LENGTH_LIMIT = 2000;
-
-function CopyButton(props: { value: string }) {
-  const [copied, setCopied] = useState(false);
-  const cbRef = useRef<number | null>(null);
-
-  function toggleCopied() {
-    setCopied(true);
-
-    if (cbRef.current != null) window.clearTimeout(cbRef.current);
-    cbRef.current = window.setTimeout(() => setCopied(false), 1500);
-  }
-
-  useEffect(() => {
-    return () => {
-      if (cbRef.current != null) {
-        window.clearTimeout(cbRef.current);
-      }
-    };
-  }, []);
-
-  return (
-    <button
-      className="px-3 py-1"
-      onClick={() => {
-        navigator.clipboard.writeText(props.value).then(toggleCopied);
-      }}
-    >
-      {copied ? <CheckCircleIcon /> : <CopyIcon />}
-    </button>
-  );
-}
-
-export function ShareDialog(props: { config: unknown; children: ReactNode }) {
-  const hash = useMemo(() => {
-    return compressToEncodedURIComponent(JSON.stringify(props.config));
-  }, [props.config]);
-
-  const state = getStateFromUrl(window.location.href);
-
-  // get base URL
-  const targetUrl = `${state.basePath}/c/${hash}`;
-
-  // .../c/[hash]/playground
-  const playgroundUrl = `${targetUrl}/playground`;
-
-  // cURL, JS: .../c/[hash]/invoke
-  // Python: .../c/[hash]
-  const invokeUrl = `${targetUrl}/invoke`;
-
-  const pythonSnippet = `
-from langserve import RemoteRunnable
-
-chain = RemoteRunnable("${targetUrl}")
-chain.invoke({ ... })
-`;
-
-  const typescriptSnippet = `
-import { RemoteRunnable } from "langchain/runnables/remote";
-
-const chain = new RemoteRunnable({ url: \`${invokeUrl}\` });
-const result = await chain.invoke({ ... });
-`;
-
-  return (
-    <Drawer.Root>
-      <Drawer.Trigger asChild>{props.children}</Drawer.Trigger>
-      <Drawer.Portal>
-        <Drawer.Overlay className="fixed inset-0 bg-black/40" />
-        <Drawer.Content className="flex justify-center items-center mt-24 fixed bottom-0 left-0 right-0 !pointer-events-none after:!bg-background">
-          <div className="p-4 bg-background max-w-[calc(800px-2rem)] rounded-t-2xl border border-divider-500 border-b-background pointer-events-auto">
-            <h3 className="flex items-center text-lg font-light">
-              <ShareIcon className="flex-shrink-0 mr-2" />
-              <span>Share</span>
-            </h3>
-
-            <hr className="border-divider-500 my-4 -mx-4" />
-
-            <div className="flex flex-col gap-3">
-              {playgroundUrl.length < URL_LENGTH_LIMIT && (
-                <div className="flex flex-col gap-2 p-3 rounded-2xl">
-                  <div className="flex items-center">
-                    <div className="w-10 h-10 flex items-center justify-center text-center text-sm bg-background rounded-xl">
-                      🦜
-                    </div>
-                    <span>Chat interface</span>
-                  </div>
-                  <div className="grid grid-cols-[auto,1fr,auto] rounded-xl text-sm items-center border">
-                    <PadlockIcon className="mx-3" />
-                    <div className="overflow-auto whitespace-nowrap py-3 no-scrollbar">
-                      {playgroundUrl.split("://")[1]}
-                    </div>
-                    <CopyButton value={playgroundUrl} />
-                  </div>
-                </div>
-              )}
-
-              <div className="flex flex-col gap-2 p-3 rounded-2xl">
-                <div className="flex items-center">
-                  <div className="w-10 h-10 flex items-center justify-center text-center text-sm bg-background rounded-xl">
-                    <CodeIcon className="w-4 h-4" />
-                  </div>
-                  <span>Get the code</span>
-                </div>
-
-                {targetUrl.length < URL_LENGTH_LIMIT && (
-                  <div className="grid grid-cols-[1fr,auto] rounded-xl text-sm items-center border">
-                    <div className="overflow-auto whitespace-nowrap px-3 py-3 no-scrollbar">
-                      Python SDK
-                    </div>
-                    <CopyButton value={pythonSnippet.trim()} />
-                  </div>
-                )}
-
-                {invokeUrl.length < URL_LENGTH_LIMIT && (
-                  <div className="grid grid-cols-[1fr,auto] rounded-xl text-sm items-center border">
-                    <div className="overflow-auto whitespace-nowrap px-3 py-3 no-scrollbar">
-                      TypeScript SDK
-                    </div>
-
-                    <CopyButton value={typescriptSnippet.trim()} />
-                  </div>
-                )}
-              </div>
-            </div>
-          </div>
-        </Drawer.Content>
-      </Drawer.Portal>
-    </Drawer.Root>
-  );
-}

langserve/chat_playground/src/components/feedback/CorrectnessFeedback.tsx

@@ -1,102 +0,0 @@
-import { toast } from "react-toastify";
-import ThumbsUpIcon from "../../assets/ThumbsUpIcon.svg?react";
-import ThumbsDownIcon from "../../assets/ThumbsDownIcon.svg?react";
-import CircleSpinIcon from "../../assets/CircleSpinIcon.svg?react";
-import CheckCircleIcon2 from "../../assets/CheckCircleIcon2.svg?react";
-import XCircle from "../../assets/XCircle.svg?react";
-import { resolveApiUrl } from "../../utils/url";
-import { useState } from "react";
-import useSWRMutation from "swr/mutation";
-
-const useFeedbackMutation = (runId: string, onError?: (e: any) => void) => {
-  interface FeedbackArguments {
-    key: string;
-    score: number;
-  }
-
-  const [lastArg, setLastArg] = useState<FeedbackArguments | null>(null);
-
-  const mutation = useSWRMutation(
-    ["feedback", runId],
-    async ([, runId], { arg }: { arg: FeedbackArguments }) => {
-      const payload = { run_id: runId, key: arg.key, score: arg.score };
-      setLastArg(arg);
-
-      const request = await fetch(resolveApiUrl("/feedback"), {
-        method: "POST",
-        headers: { "Content-Type": "application/json" },
-        body: JSON.stringify(payload),
-      });
-
-      if (!request.ok) {
-        if (request.status === 404) {
-          onError?.(new Error(`Feedback endpoint not found. Please enable it in your LangServe endpoint.`));
-        } else {
-          try {
-            const errorResponse = await request.json();
-            onError?.(new Error(`${errorResponse.detail}`));
-          } catch (e) {
-            onError?.(new Error(`Request failed with status: ${request.status}`));
-          }
-        }
-        throw new Error(`Failed request ${request.status}`)
-      }
-      const json: {
-        id: string;
-        score: number;
-      } = await request.json();
-
-      toast("Feedback sent successfully!", { hideProgressBar: true });
-      return json;
-    }
-  );
-
-  return { lastArg: mutation.isMutating ? lastArg : null, mutation };
-};
-
-export function CorrectnessFeedback(props: { runId: string, onError?: (e: any) => void }) {
-  const score = useFeedbackMutation(props.runId, props.onError);
-
-  if (props.runId == null) return null;
-  return (
-    <>
-      <button
-        type="button"
-        className={"bg-background rounded p-1 hover:opacity-80"}
-        disabled={score.mutation.isMutating}
-        onClick={() => {
-          if (score.mutation.data?.score !== 1) {
-            score.mutation.trigger({ key: "correctness", score: 1 });
-          }
-        }}
-      >
-        {score.lastArg?.score === 1 ? (
-          <CircleSpinIcon className="animate-spin w-4 h-4 text-white/50 fill-white" />
-        ) : (
-          (score.mutation.data?.score !== 1
-            ? <ThumbsUpIcon className="w-4 h-4" />
-            : <CheckCircleIcon2 className="w-4 h-4 stroke-teal-500" />)
-        )}
-      </button>
-
-      <button
-        type="button"
-        className={"bg-background rounded p-1 hover:opacity-80"}
-        disabled={score.mutation.isMutating}
-        onClick={() => {
-          if (score.mutation.data?.score !== 0) {
-            score.mutation.trigger({ key: "correctness", score: 0 });
-          }
-        }}
-      >
-        {score.lastArg?.score === 0 ? (
-          <CircleSpinIcon className="animate-spin w-4 h-4 text-white/50 fill-white" />
-        ) : (
-          (score.mutation.data?.score !== 0
-            ? <ThumbsDownIcon className="w-4 h-4" />
-            : <XCircle className="w-4 h-4 stroke-red-500" />)
-        )}
-      </button>
-    </>
-  );
-}

langserve/chat_playground/src/main.tsx

@@ -1,11 +0,0 @@
-import ReactDOM from "react-dom/client";
-import App from "./App.tsx";
-
-import dayjs from "dayjs";
-import utc from "dayjs/plugin/utc";
-import relativeDate from "dayjs/plugin/relativeTime";
-
-dayjs.extend(relativeDate);
-dayjs.extend(utc);
-
-ReactDOM.createRoot(document.getElementById("root")!).render(<App />);

langserve/chat_playground/src/types.tsx

@@ -1,9 +0,0 @@
-import type { Operation } from "fast-json-patch";
-import type { RunState } from "./useStreamLog";
-
-export interface StreamCallback {
-  onSuccess?: (ctx: { input: unknown; output: unknown }) => void;
-  onChunk?: (chunk: { ops?: Operation[] }, aggregatedState: RunState | null) => void;
-  onError?: (error: any) => void;
-  onStart?: (ctx: { input: unknown }) => void;
-}

langserve/chat_playground/src/useSchemas.tsx

@@ -1,131 +0,0 @@
-import { JsonSchema } from "@jsonforms/core";
-import { compressToEncodedURIComponent } from "lz-string";
-import { resolveApiUrl } from "./utils/url";
-import { simplifySchema } from "./utils/simplifySchema";
-
-import useSWR from "swr";
-import defaults from "./utils/defaults";
-
-declare global {
-  interface Window {
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    CONFIG_SCHEMA?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    INPUT_SCHEMA?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    OUTPUT_SCHEMA?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    FEEDBACK_ENABLED?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    PUBLIC_TRACE_LINK_ENABLED?: any;
-  }
-}
-
-export function useFeedback() {
-  return useSWR(["/feedback"], async () => {
-    if (!import.meta.env.DEV && window.FEEDBACK_ENABLED) {
-      return window.FEEDBACK_ENABLED === "true";
-    }
-
-    const response = await fetch(resolveApiUrl("/feedback"), {
-      method: "HEAD",
-    });
-    return response.ok;
-  });
-}
-
-export function usePublicTraceLink() {
-  return useSWR(["/public_trace_link"], async () => {
-    if (!import.meta.env.DEV && window.PUBLIC_TRACE_LINK_ENABLED) {
-      return window.PUBLIC_TRACE_LINK_ENABLED === "true";
-    }
-
-    const response = await fetch(resolveApiUrl("/public_trace_link"), {
-      method: "HEAD",
-    });
-    return response.ok;
-  });
-}
-
-export function useConfigSchema() {
-  return useSWR(["/config_schema"], async () => {
-    let schema: JsonSchema | null = null;
-    if (!import.meta.env.DEV && window.CONFIG_SCHEMA) {
-      schema = await simplifySchema(window.CONFIG_SCHEMA);
-    } else {
-      const response = await fetch(resolveApiUrl(`/config_schema`));
-      if (!response.ok) throw new Error(await response.text());
-
-      const json = await response.json();
-      schema = await simplifySchema(json);
-    }
-
-    if (schema == null) return null;
-    return {
-      schema,
-      defaults: defaults(schema),
-    };
-  });
-}
-
-export function useInputSchema(configData?: unknown) {
-  return useSWR(
-    ["/input_schema", configData],
-    async ([, configData]) => {
-      // TODO: this won't work if we're already seeing a prefixed URL
-      const prefix = configData
-        ? `/c/${compressToEncodedURIComponent(JSON.stringify(configData))}`
-        : "";
-
-      let schema: JsonSchema | null = null;
-
-      if (!prefix && !import.meta.env.DEV && window.INPUT_SCHEMA) {
-        schema = await simplifySchema(window.INPUT_SCHEMA);
-      } else {
-        const response = await fetch(resolveApiUrl(`${prefix}/input_schema`));
-        if (!response.ok) throw new Error(await response.text());
-
-        const json = await response.json();
-        schema = await simplifySchema(json);
-      }
-
-      if (schema == null) return null;
-      return {
-        schema,
-        defaults: defaults(schema),
-      };
-    },
-    { keepPreviousData: true }
-  );
-}
-
-export function useOutputSchema(configData?: unknown) {
-  return useSWR(
-    ["/output_schema", configData],
-    async ([, configData]) => {
-      // TODO: this won't work if we're already seeing a prefixed URL
-      const prefix = configData
-        ? `/c/${compressToEncodedURIComponent(JSON.stringify(configData))}`
-        : "";
-
-      let schema: JsonSchema | null = null;
-
-      if (!prefix && !import.meta.env.DEV && window.OUTPUT_SCHEMA) {
-        schema = await simplifySchema(window.OUTPUT_SCHEMA);
-      } else {
-        const response = await fetch(resolveApiUrl(`${prefix}/output_schema`));
-        if (!response.ok) throw new Error(await response.text());
-
-        const json = await response.json();
-        schema = await simplifySchema(json);
-      }
-
-      if (schema == null) return null;
-      return {
-        schema,
-        defaults: defaults(schema),
-      };
-    },
-    { keepPreviousData: true }
-  );
-}

langserve/chat_playground/src/useStreamCallback.tsx

@@ -1,78 +0,0 @@
-import {
-  MutableRefObject,
-  createContext,
-  useContext,
-  useEffect,
-  useRef,
-} from "react";
-
-import { StreamCallback } from "./types";
-
-export const AppCallbackContext = createContext<MutableRefObject<{
-  onStart: Exclude<StreamCallback["onStart"], undefined>[];
-  onChunk: Exclude<StreamCallback["onChunk"], undefined>[];
-  onSuccess: Exclude<StreamCallback["onSuccess"], undefined>[];
-  onError: Exclude<StreamCallback["onError"], undefined>[];
-}> | null>(null);
-
-export function useAppStreamCallbacks() {
-  // callbacks handling
-  const context = useRef<{
-    onStart: Exclude<StreamCallback["onStart"], undefined>[];
-    onChunk: Exclude<StreamCallback["onChunk"], undefined>[];
-    onSuccess: Exclude<StreamCallback["onSuccess"], undefined>[];
-    onError: Exclude<StreamCallback["onError"], undefined>[];
-  }>({ onStart: [], onChunk: [], onSuccess: [], onError: [] });
-
-  const callbacks: StreamCallback = {
-    onStart(...args) {
-      for (const callback of context.current.onStart) {
-        callback(...args);
-      }
-    },
-    onChunk(...args) {
-      for (const callback of context.current.onChunk) {
-        callback(...args);
-      }
-    },
-    onSuccess(...args) {
-      for (const callback of context.current.onSuccess) {
-        callback(...args);
-      }
-    },
-    onError(...args) {
-      for (const callback of context.current.onError) {
-        callback(...args);
-      }
-    },
-  };
-
-  return { context, callbacks };
-}
-
-export function useStreamCallback<
-  Type extends "onStart" | "onChunk" | "onSuccess" | "onError"
->(type: Type, callback: Exclude<StreamCallback[Type], undefined>) {
-  type CallbackType = Exclude<StreamCallback[Type], undefined>;
-
-  const appCbRef = useContext(AppCallbackContext);
-
-  const callbackRef = useRef<CallbackType>(callback);
-  callbackRef.current = callback;
-
-  useEffect(() => {
-    // @ts-expect-error Not sure why I can't expand the tuple
-    const current = (...args) => callbackRef.current?.(...args);
-    appCbRef?.current[type].push(current);
-
-    return () => {
-      if (!appCbRef) return;
-
-      // @ts-expect-error Assingability issues due to the tuple object
-      // eslint-disable-next-line react-hooks/exhaustive-deps
-      appCbRef.current[type] = appCbRef.current[type].filter(
-        (callbacks) => callbacks !== current
-      );
-    };
-  }, [type, appCbRef]);
-}

langserve/chat_playground/src/useStreamLog.tsx

@@ -1,106 +0,0 @@
-import { useCallback, useRef, useState } from "react";
-import { applyPatch, Operation } from "fast-json-patch";
-import { fetchEventSource } from "@microsoft/fetch-event-source";
-import { resolveApiUrl } from "./utils/url";
-import { StreamCallback } from "./types";
-
-export interface LogEntry {
-  // ID of the sub-run.
-  id: string;
-  // Name of the object being run.
-  name: string;
-  // Type of the object being run, eg. prompt, chain, llm, etc.
-  type: string;
-  // List of tags for the run.
-  tags: string[];
-  // Key-value pairs of metadata for the run.
-  metadata: { [key: string]: unknown };
-  // ISO-8601 timestamp of when the run started.
-  start_time: string;
-  // List of LLM tokens streamed by this run, if applicable.
-  streamed_output_str: string[];
-  // Final output of this run.
-  // Only available after the run has finished successfully.
-  final_output?: unknown;
-  // ISO-8601 timestamp of when the run ended.
-  // Only available after the run has finished.
-  end_time?: string;
-}
-
-export interface RunState {
-  // ID of the run.
-  id: string;
-  // List of output chunks streamed by Runnable.stream()
-  streamed_output: unknown[];
-  // Final output of the run, usually the result of aggregating (`+`) streamed_output.
-  // Only available after the run has finished successfully.
-  final_output?: unknown;
-
-  // Map of run names to sub-runs. If filters were supplied, this list will
-  // contain only the runs that matched the filters.
-  logs: { [name: string]: LogEntry };
-}
-
-function reducer(state: RunState | null, action: Operation[]) {
-  return applyPatch(state, action, true, false).newDocument;
-}
-
-export function useStreamLog(callbacks: StreamCallback = {}) {
-  const [latest, setLatest] = useState<RunState | null>(null);
-  const [controller, setController] = useState<AbortController | null>(null);
-
-  const startRef = useRef(callbacks.onStart);
-  startRef.current = callbacks.onStart;
-
-  const chunkRef = useRef(callbacks.onChunk);
-  chunkRef.current = callbacks.onChunk;
-
-  const successRef = useRef(callbacks.onSuccess);
-  successRef.current = callbacks.onSuccess;
-
-  const errorRef = useRef(callbacks.onError);
-  errorRef.current = callbacks.onError;
-
-  const startStream = useCallback(async (input: unknown, config: unknown) => {
-    const controller = new AbortController();
-    setController(controller);
-    startRef.current?.({ input });
-
-    let innerLatest: RunState | null = null;
-
-    await fetchEventSource(resolveApiUrl("/stream_log").toString(), {
-      signal: controller.signal,
-      method: "POST",
-      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify({ input, config }),
-      onmessage(msg) {
-        if (msg.event === "data") {
-          innerLatest = reducer(innerLatest, JSON.parse(msg.data)?.ops);
-          setLatest(innerLatest);
-          chunkRef.current?.(JSON.parse(msg.data), innerLatest);
-        }
-      },
-      openWhenHidden: true,
-      onclose() {
-        setController(null);
-        successRef.current?.({ input, output: innerLatest?.final_output });
-      },
-      onerror(error) {
-        setController(null);
-        errorRef.current?.(error);
-        throw error;
-      },
-    });
-  }, []);
-
-  const stopStream = useCallback(() => {
-    controller?.abort();
-    setController(null);
-  }, [controller]);
-
-  return {
-    startStream,
-    stopStream: controller ? stopStream : undefined,
-    latest,
-  };
-}

langserve/chat_playground/src/utils/cn.ts

@@ -1,7 +0,0 @@
-import clsx from "clsx";
-import { ClassValue } from "clsx";
-import { twMerge } from "tailwind-merge";
-
-export function cn(...inputs: ClassValue[]) {
-  return twMerge(clsx(inputs));
-}

langserve/chat_playground/src/utils/defaults.ts

@@ -1,220 +0,0 @@
-// (c) 2015 Chute Corporation. Released under the terms of the MIT License.
-// Modified to use TypeScript and handle edge cases with tuples
-
-/* eslint-disable @typescript-eslint/no-explicit-any */
-/* eslint-disable no-prototype-builtins */
-
-"use strict";
-
-/**
- * check whether item is plain object
- * @param {*} item
- * @return {Boolean}
- */
-const isObject = (item: unknown): item is Record<string, unknown> => {
-  return (
-    typeof item === "object" &&
-    item !== null &&
-    item.toString() === {}.toString()
-  );
-};
-
-/**
- * deep JSON object clone
- *
- * @param {Object} source
- * @return {Object}
- */
-const cloneJSON = (source: any): any => {
-  return JSON.parse(JSON.stringify(source));
-};
-
-/**
- * returns a result of deep merge of two objects
- *
- * @param {Object} target
- * @param {Object} source
- * @return {Object}
- */
-const merge = (
-  target: Record<string, unknown>,
-  source: Record<string, unknown>
-) => {
-  target = cloneJSON(target);
-
-  for (const key in source) {
-    if (source.hasOwnProperty(key)) {
-      const sourceKeyValue = source[key];
-      const targetKeyValue = target[key];
-
-      if (isObject(sourceKeyValue) && isObject(targetKeyValue)) {
-        target[key] = merge(targetKeyValue, sourceKeyValue);
-      } else {
-        target[key] = sourceKeyValue;
-      }
-    }
-  }
-  return target;
-};
-
-/**
- * get object by reference. works only with local references that points on
- * definitions object
- *
- * @param {String} path
- * @param {Object} definitions
- * @return {Object}
- */
-const getLocalRef = function (
-  inputPath: string,
-  definitions: Record<string, unknown>
-) {
-  const path = inputPath.replace(/^#\/definitions\//, "").split("/");
-
-  const find = function (path: string[], root: any): any {
-    const key = path.shift();
-    if (!key) return {};
-
-    if (!root[key]) {
-      return {};
-    } else if (!path.length) {
-      return root[key];
-    } else {
-      return find(path, root[key]);
-    }
-  };
-
-  const result = find(path, definitions);
-
-  if (!isObject(result)) {
-    return result;
-  }
-  return cloneJSON(result);
-};
-
-/**
- * merge list of objects from allOf properties
- * if some of objects contains $ref field extracts this reference and merge it
- *
- * @param {Array} allOfList
- * @param {Object} definitions
- * @return {Object}
- */
-const mergeAllOf = function (allOfList: any[], definitions: any) {
-  const length = allOfList.length;
-  let index = -1,
-    result = {};
-
-  while (++index < length) {
-    let item = allOfList[index];
-
-    item =
-      typeof item.$ref !== "undefined"
-        ? getLocalRef(item.$ref, definitions)
-        : item;
-
-    result = merge(result, item);
-  }
-
-  return result;
-};
-
-/**
- * returns a object that built with default values from json schema
- *
- * @param {Object} schema
- * @param {Object} definitions
- * @return {Object}
- */
-const defaults = (schema: any, definitions: Record<string, any>): unknown => {
-  if (typeof schema["default"] !== "undefined") {
-    return schema["default"];
-  } else if (typeof schema.allOf !== "undefined") {
-    const mergedItem = mergeAllOf(schema.allOf, definitions);
-    return defaults(mergedItem, definitions);
-  } else if (typeof schema.$ref !== "undefined") {
-    const reference = getLocalRef(schema.$ref, definitions);
-    return defaults(reference, definitions);
-  } else if (schema.type === "object") {
-    if (!schema.properties) {
-      return {};
-    }
-
-    for (const key in schema.properties) {
-      if (schema.properties.hasOwnProperty(key)) {
-        schema.properties[key] = defaults(schema.properties[key], definitions);
-
-        if (typeof schema.properties[key] === "undefined") {
-          delete schema.properties[key];
-        }
-      }
-    }
-
-    return schema.properties;
-  } else if (schema.type === "array") {
-    if (!schema.items) {
-      return [];
-    }
-
-    // minimum item count
-    const ct = schema.minItems || 0;
-
-    // tuple-typed arrays
-    if (schema.items.constructor === Array) {
-      const values = schema.items.map((item: unknown) =>
-        defaults(item, definitions)
-      );
-
-      // remove undefined items at the end (unless required by minItems)
-      for (let i = values.length - 1; i >= 0; i--) {
-        if (typeof values[i] !== "undefined") {
-          break;
-        }
-        if (i + 1 > ct) {
-          values.pop();
-        }
-      }
-
-      // if all values are undefined -> return undefined even
-      // if minItems is set
-      if (values.every((item: unknown) => typeof item === "undefined")) {
-        return undefined;
-      }
-
-      return values;
-    }
-
-    // object-typed arrays
-    const value = defaults(schema.items, definitions);
-
-    if (typeof value === "undefined") {
-      return [];
-    } else {
-      const values = [];
-      for (let i = 0; i < Math.max(0, ct); i++) {
-        values.push(cloneJSON(value));
-      }
-      return values;
-    }
-  }
-};
-
-/**
- * main function
- *
- * @param {Object} schema
- * @param {Object|undefined} definitions
- * @return {Object}
- */
-export default function (
-  schema: any,
-  definitions?: Record<string, unknown> | undefined
-) {
-  if (typeof definitions === "undefined") {
-    definitions = (schema.definitions as Record<string, unknown>) || {};
-  } else if (isObject(schema.definitions)) {
-    definitions = merge(definitions, schema.definitions);
-  }
-
-  return defaults(cloneJSON(schema), definitions);
-}

langserve/chat_playground/src/utils/json-refs.d.ts

@@ -1,4 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-export const JsonRefs: {
-  resolveRefs(schema: any): Promise<{ resolved: any }>;
-};

langserve/chat_playground/src/utils/messages.ts

@@ -1,7 +0,0 @@
-export function getMessageContent(x: unknown) {
-  if (typeof x === "string") return x;
-  if (typeof x === "object" && x != null) {
-    if ("content" in x && typeof x.content === "string") return x.content;
-  }
-  return null;
-}

langserve/chat_playground/src/utils/path.ts

@@ -1,31 +0,0 @@
-function isAccessibleObject(x: unknown): x is Record<string | number, unknown> {
-  return typeof x === "object" && x != null;
-}
-
-export function getNormalizedJsonPath(
-  path: string | number | Array<string | number>
-) {
-  return Array.isArray(path) ? path : [path];
-}
-
-export function traverseNaiveJsonPath(
-  x: unknown,
-  path: string | number | Array<string | number>
-) {
-  const queue = getNormalizedJsonPath(path);
-
-  let tmp: unknown = x;
-  while (queue.length > 0) {
-    const first = queue.shift()!;
-    if (first === "") continue;
-    if (Array.isArray(tmp)) {
-      tmp = tmp[+first];
-    } else if (isAccessibleObject(tmp)) {
-      tmp = tmp[first];
-    } else {
-      return undefined;
-    }
-  }
-
-  return tmp;
-}

langserve/chat_playground/src/utils/schema.ts

@@ -1,28 +0,0 @@
-import { JsonSchema } from "@jsonforms/core";
-
-type JsonSchemaExtra = JsonSchema & {
-  extra: {
-    widget: {
-      type: string;
-      [key: string]: string | number | Array<string | number>;
-    };
-  };
-};
-
-export function isJsonSchemaExtra(x: JsonSchema): x is JsonSchemaExtra {
-  if (!("extra" in x && typeof x.extra === "object" && x.extra != null)) {
-    return false;
-  }
-
-  if (
-    !(
-      "widget" in x.extra &&
-      typeof x.extra.widget === "object" &&
-      x.extra.widget != null
-    )
-  ) {
-    return false;
-  }
-
-  return true;
-}

langserve/chat_playground/src/utils/simplifySchema.ts

@@ -1,8 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-import { JsonRefs } from "./json-refs";
-
-// jsonforms doesn't support schemas with root $ref
-// so we resolve root $ref and replace it with the actual schema
-export function simplifySchema(schema: any) {
-  return JsonRefs.resolveRefs(schema).then((r: any) => r.resolved);
-}

langserve/chat_playground/src/utils/str.ts

@@ -1,5 +0,0 @@
-export function str(o: unknown): React.ReactNode {
-  return typeof o === "object"
-    ? JSON.stringify(o, null, 2)
-    : (o as React.ReactNode);
-}

langserve/chat_playground/src/utils/url.ts

@@ -1,33 +0,0 @@
-import { decompressFromEncodedURIComponent } from "lz-string";
-
-export function getStateFromUrl(path: string) {
-  let configFromUrl = null;
-  let basePath = path;
-  if (basePath.endsWith("/")) {
-    basePath = basePath.slice(0, -1);
-  }
-
-  if (basePath.endsWith("/playground")) {
-    basePath = basePath.slice(0, -"/playground".length);
-  }
-
-  // check if we can omit the last segment
-  const [configHash, c, ...rest] = basePath.split("/").reverse();
-  if (c === "c") {
-    basePath = rest.reverse().join("/");
-    try {
-      configFromUrl = JSON.parse(decompressFromEncodedURIComponent(configHash));
-    } catch (error) {
-      console.error(error);
-    }
-  }
-  return { basePath, configFromUrl };
-}
-
-export function resolveApiUrl(path: string) {
-  const { basePath } = getStateFromUrl(window.location.href);
-  let prefix = new URL(basePath).pathname;
-  if (prefix.endsWith("/")) prefix = prefix.slice(0, -1);
-
-  return new URL(prefix + path, basePath);
-}

langserve/chat_playground/src/vite-env.d.ts

@@ -1,2 +0,0 @@
-/// <reference types="vite/client" />
-/// <reference types="vite-plugin-svgr/client" />

langserve/chat_playground/tailwind.config.js

@@ -1,36 +0,0 @@
-/** @type {import('tailwindcss').Config} */
-export default {
-  content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"],
-  theme: {
-    extend: {
-      colors: {
-        popover: {
-          DEFAULT: "hsl(var(--popover))",
-        },
-        background: {
-          DEFAULT: "var(--background)",
-        },
-        button: {
-          "green": "var(--button-green)",
-          "green-disabled": "var(--button-green-disabled)",
-          "inline": "var(--button-inline)"
-        },
-        ls: {
-          blue: "hsl(211.5, 91.8%, 61.8%)",
-          black: "hsl(var(--ls-black))",
-          gray: {
-            100: "hsl(var(--ls-gray-100))",
-            200: "hsl(var(--ls-gray-200))",
-            300: "hsl(var(--ls-gray-300))",
-            400: "hsl(var(--ls-gray-400))",
-          },
-        },
-        divider: {
-          500: "hsl(var(--divider-500))",
-          700: "hsl(var(--divider-700))",
-        },
-      },
-    },
-  },
-  plugins: [],
-};

langserve/chat_playground/tsconfig.json

@@ -1,25 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ES2020",
-    "useDefineForClassFields": true,
-    "lib": ["ES2020", "DOM", "DOM.Iterable"],
-    "module": "ESNext",
-    "skipLibCheck": true,
-
-    /* Bundler mode */
-    "moduleResolution": "bundler",
-    "allowImportingTsExtensions": true,
-    "resolveJsonModule": true,
-    "isolatedModules": true,
-    "noEmit": true,
-    "jsx": "react-jsx",
-
-    /* Linting */
-    "strict": true,
-    "noUnusedLocals": true,
-    "noUnusedParameters": true,
-    "noFallthroughCasesInSwitch": true
-  },
-  "include": ["src"],
-  "references": [{ "path": "./tsconfig.node.json" }]
-}

langserve/chat_playground/tsconfig.node.json

@@ -1,10 +0,0 @@
-{
-  "compilerOptions": {
-    "composite": true,
-    "skipLibCheck": true,
-    "module": "ESNext",
-    "moduleResolution": "bundler",
-    "allowSyntheticDefaultImports": true
-  },
-  "include": ["vite.config.ts"]
-}

langserve/chat_playground/vite.config.ts

@@ -1,18 +0,0 @@
-import { defineConfig } from "vite";
-import react from "@vitejs/plugin-react";
-import svgr from "vite-plugin-svgr";
-
-// https://vitejs.dev/config/
-export default defineConfig({
-  base: "/____LANGSERVE_BASE_URL/",
-  plugins: [svgr(), react()],
-  server: {
-    proxy: {
-      "^/____LANGSERVE_BASE_URL.*/(config_schema|input_schema|output_schema|stream_log|feedback|public_trace_link)(/[a-zA-Z0-9-]*)?$": {
-        target: "http://127.0.0.1:8000",
-        changeOrigin: true,
-        rewrite: (path) => path.replace("/____LANGSERVE_BASE_URL", ""),
-      },
-    },
-  },
-});

langserve/client.py

@@ -22,21 +22,21 @@ from urllib.parse import urljoin
 
 import httpx
 from httpx._types import AuthTypes, CertTypes, CookieTypes, HeaderTypes, VerifyTypes
-from langchain_core.callbacks import (
+from langchain.callbacks.manager import (
     AsyncCallbackManagerForChainRun,
     CallbackManagerForChainRun,
 )
-from langchain_core.load.dump import dumpd
-from langchain_core.runnables import Runnable
-from langchain_core.runnables.config import (
+from langchain.callbacks.tracers.log_stream import RunLogPatch
+from langchain.load.dump import dumpd
+from langchain.schema.runnable import Runnable
+from langchain.schema.runnable.config import (
     RunnableConfig,
     ensure_config,
     get_async_callback_manager_for_config,
     get_callback_manager_for_config,
 )
+from langchain.schema.runnable.utils import AddableDict, Input, Output
 from langchain_core.runnables.schema import StreamEvent
-from langchain_core.runnables.utils import AddableDict, Input, Output
-from langchain_core.tracers.log_stream import RunLogPatch
 from typing_extensions import Literal
 
 from langserve.callbacks import CallbackEventDict, ahandle_callbacks, handle_callbacks
@@ -45,7 +45,6 @@ from langserve.serialization import (
     WellKnownLCSerializer,
     load_events,
 )
-from langserve.server_sent_events import aconnect_sse, connect_sse
 
 logger = logging.getLogger(__name__)
 
@@ -431,15 +430,11 @@ class RemoteRunnable(Runnable[Input, Output]):
         self,
         inputs: List[Input],
         config: Optional[RunnableConfig] = None,
-        *,
-        return_exceptions: bool = False,
         **kwargs: Any,
     ) -> List[Output]:
         if kwargs:
-            raise NotImplementedError(f"kwargs not implemented yet. Got {kwargs}")
-        return self._batch_with_config(
-            self._batch, inputs, config, return_exceptions=return_exceptions
-        )
+            raise NotImplementedError("kwargs not implemented yet.")
+        return self._batch_with_config(self._batch, inputs, config)
 
     async def _abatch(
         self,
@@ -528,17 +523,25 @@ class RemoteRunnable(Runnable[Input, Output]):
         }
         endpoint = urljoin(self.url, "stream")
 
+        try:
+            from httpx_sse import connect_sse
+        except ImportError:
+            raise ImportError(
+                "Missing `httpx_sse` dependency to use the stream method. "
+                "Install via `pip install httpx_sse`'"
+            )
+
         try:
             with connect_sse(
                 self.sync_client, "POST", endpoint, json=data
             ) as event_source:
                 for sse in event_source.iter_sse():
-                    if sse["event"] == "data":
-                        chunk = self._lc_serializer.loads(sse["data"])
+                    if sse.event == "data":
+                        chunk = self._lc_serializer.loads(sse.data)
                         if isinstance(chunk, dict):
                             # Any dict returned from streaming end point
                             # is assumed to follow additive semantics
-                            # and will be coverted to an AddableDict
+                            # and will be converted to an AddableDict
                             # automatically
                             chunk = AddableDict(chunk)
                         yield chunk
@@ -560,21 +563,21 @@ class RemoteRunnable(Runnable[Input, Output]):
                                 except TypeError:
                                     final_output = None
                                     final_output_supported = False
-                    elif sse["event"] == "error":
+                    elif sse.event == "error":
                         # This can only be a server side error
                         _raise_exception_from_data(
-                            sse["data"], httpx.Request(method="POST", url=endpoint)
+                            sse.data, httpx.Request(method="POST", url=endpoint)
                         )
-                    elif sse["event"] == "metadata":
+                    elif sse.event == "metadata":
                         # Nothing to do for metadata for the regular remote client.
                         continue
-                    elif sse["event"] == "end":
+                    elif sse.event == "end":
                         break
                     else:
                         _log_error_message_once(
-                            f"Encountered an unsupported event type: `{sse['event']}`. "
+                            f"Encountered an unsupported event type: `{sse.event}`. "
                             f"Try upgrading the remote client to the latest version."
-                            f"Ignoring events of type `{sse['event']}`."
+                            f"Ignoring events of type `{sse.event}`."
                         )
         except BaseException as e:
             run_manager.on_chain_error(e)
@@ -606,13 +609,18 @@ class RemoteRunnable(Runnable[Input, Output]):
         }
         endpoint = urljoin(self.url, "stream")
 
+        try:
+            from httpx_sse import aconnect_sse
+        except ImportError:
+            raise ImportError("You must install `httpx_sse` to use the stream method.")
+
         try:
             async with aconnect_sse(
                 self.async_client, "POST", endpoint, json=data
             ) as event_source:
                 async for sse in event_source.aiter_sse():
-                    if sse["event"] == "data":
-                        chunk = self._lc_serializer.loads(sse["data"])
+                    if sse.event == "data":
+                        chunk = self._lc_serializer.loads(sse.data)
                         if isinstance(chunk, dict):
                             # Any dict returned from streaming end point
                             # is assumed to follow additive semantics
@@ -639,21 +647,21 @@ class RemoteRunnable(Runnable[Input, Output]):
                                     final_output = None
                                     final_output_supported = False
 
-                    elif sse["event"] == "error":
+                    elif sse.event == "error":
                         # This can only be a server side error
                         _raise_exception_from_data(
-                            sse["data"], httpx.Request(method="POST", url=endpoint)
+                            sse.data, httpx.Request(method="POST", url=endpoint)
                         )
-                    elif sse["event"] == "metadata":
+                    elif sse.event == "metadata":
                         # Nothing to do for metadata for the regular remote client.
                         continue
-                    elif sse["event"] == "end":
+                    elif sse.event == "end":
                         break
                     else:
                         _log_error_message_once(
-                            f"Encountered an unsupported event type: `{sse['event']}`. "
+                            f"Encountered an unsupported event type: `{sse.event}`. "
                             f"Try upgrading the remote client to the latest version."
-                            f"Ignoring events of type `{sse['event']}`."
+                            f"Ignoring events of type `{sse.event}`."
                         )
         except BaseException as e:
             await run_manager.on_chain_error(e)
@@ -710,13 +718,18 @@ class RemoteRunnable(Runnable[Input, Output]):
         }
         endpoint = urljoin(self.url, "stream_log")
 
+        try:
+            from httpx_sse import aconnect_sse
+        except ImportError:
+            raise ImportError("You must install `httpx_sse` to use the stream method.")
+
         try:
             async with aconnect_sse(
                 self.async_client, "POST", endpoint, json=data
             ) as event_source:
                 async for sse in event_source.aiter_sse():
-                    if sse["event"] == "data":
-                        data = self._lc_serializer.loads(sse["data"])
+                    if sse.event == "data":
+                        data = self._lc_serializer.loads(sse.data)
                         # Create a copy of the data to yield since underlying
                         # code is using jsonpatch which does some stuff in-place
                         # that can cause unexpected consequences.
@@ -728,18 +741,18 @@ class RemoteRunnable(Runnable[Input, Output]):
                             final_output += chunk
                         else:
                             final_output = chunk
-                    elif sse["event"] == "error":
+                    elif sse.event == "error":
                         # This can only be a server side error
                         _raise_exception_from_data(
-                            sse["data"], httpx.Request(method="POST", url=endpoint)
+                            sse.data, httpx.Request(method="POST", url=endpoint)
                         )
-                    elif sse["event"] == "end":
+                    elif sse.event == "end":
                         break
                     else:
                         _log_error_message_once(
-                            f"Encountered an unsupported event type: `{sse['event']}`. "
+                            f"Encountered an unsupported event type: `{sse.event}`. "
                             f"Try upgrading the remote client to the latest version."
-                            f"Ignoring events of type `{sse['event']}`."
+                            f"Ignoring events of type `{sse.event}`."
                         )
         except BaseException as e:
             await run_manager.on_chain_error(e)
@@ -809,34 +822,36 @@ class RemoteRunnable(Runnable[Input, Output]):
             "exclude_tags": exclude_tags,
         }
         endpoint = urljoin(self.url, "stream_events")
-        headers = kwargs.pop("headers", {})
-        headers["Accept"] = "text/event-stream"
-        headers["Cache-Control"] = "no-store"
+
+        try:
+            from httpx_sse import aconnect_sse
+        except ImportError:
+            raise ImportError("You must install `httpx_sse` to use the stream method.")
 
         try:
             async with aconnect_sse(
                 self.async_client, "POST", endpoint, json=data
             ) as event_source:
                 async for sse in event_source.aiter_sse():
-                    if sse["event"] == "data":
-                        event = self._lc_serializer.loads(sse["data"])
+                    if sse.event == "data":
+                        event = self._lc_serializer.loads(sse.data)
                         # Create a copy of the data to yield since underlying
                         # code is using jsonpatch which does some stuff in-place
                         # that can cause unexpected consequences.
                         yield event
                         events.append(event)
-                    elif sse["event"] == "error":
+                    elif sse.event == "error":
                         # This can only be a server side error
                         _raise_exception_from_data(
-                            sse["data"], httpx.Request(method="POST", url=endpoint)
+                            sse.data, httpx.Request(method="POST", url=endpoint)
                         )
-                    elif sse["event"] == "end":
+                    elif sse.event == "end":
                         break
                     else:
                         _log_error_message_once(
-                            f"Encountered an unsupported event type: `{sse['event']}`. "
+                            f"Encountered an unsupported event type: `{sse.event}`. "
                             f"Try upgrading the remote client to the latest version."
-                            f"Ignoring events of type `{sse['event']}`."
+                            f"Ignoring events of type `{sse.event}`."
                         )
         except BaseException as e:
             await run_manager.on_chain_error(e)

langserve/playground.py

@@ -2,11 +2,12 @@ import json
 import mimetypes
 import os
 from string import Template
-from typing import Literal, Sequence, Type
+from typing import Sequence, Type
 
 from fastapi.responses import Response
-from langchain_core.runnables import Runnable
-from pydantic import BaseModel
+from langchain.schema.runnable import Runnable
+
+from langserve.pydantic_v1 import BaseModel
 
 
 class PlaygroundTemplate(Template):
@@ -49,37 +50,27 @@ def _get_mimetype(path: str) -> str:
 async def serve_playground(
     runnable: Runnable,
     input_schema: Type[BaseModel],
-    output_schema: Type[BaseModel],
     config_keys: Sequence[str],
     base_url: str,
     file_path: str,
     feedback_enabled: bool,
-    public_trace_link_enabled: bool,
-    playground_type: Literal["default", "chat"],
 ) -> Response:
     """Serve the playground."""
-    if playground_type == "default":
-        path_to_dist = "./playground/dist"
-    elif playground_type == "chat":
-        path_to_dist = "./chat_playground/dist"
-    else:
-        raise ValueError(
-            f"Invalid playground type: {playground_type}. "
-            f"Use one of 'default' or 'chat'."
-        )
-
     local_file_path = os.path.abspath(
         os.path.join(
             os.path.dirname(__file__),
-            path_to_dist,
+            "./playground/dist",
             file_path or "index.html",
         )
     )
 
-    base_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), path_to_dist))
+    base_dir = os.path.abspath(
+        os.path.join(os.path.dirname(__file__), "./playground/dist")
+    )
 
     if base_dir != os.path.commonpath((base_dir, local_file_path)):
         return Response("Not Found", status_code=404)
+
     try:
         with open(local_file_path, encoding="utf-8") as f:
             mime_type = _get_mimetype(local_file_path)
@@ -92,13 +83,9 @@ async def serve_playground(
                         runnable.config_schema(include=config_keys).schema()
                     ),
                     LANGSERVE_INPUT_SCHEMA=json.dumps(input_schema.schema()),
-                    LANGSERVE_OUTPUT_SCHEMA=json.dumps(output_schema.schema()),
                     LANGSERVE_FEEDBACK_ENABLED=json.dumps(
                         "true" if feedback_enabled else "false"
                     ),
-                    LANGSERVE_PUBLIC_TRACE_LINK_ENABLED=json.dumps(
-                        "true" if public_trace_link_enabled else "false"
-                    ),
                 )
             else:
                 response = f.buffer.read()

langserve/playground/dist/index.html

@@ -5,7 +5,7 @@
     <link rel="icon" href="/____LANGSERVE_BASE_URL/favicon.ico" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Playground</title>
-    <script type="module" crossorigin src="/____LANGSERVE_BASE_URL/assets/index-400979f0.js"></script>
+    <script type="module" crossorigin src="/____LANGSERVE_BASE_URL/assets/index-dbc96538.js"></script>
     <link rel="stylesheet" href="/____LANGSERVE_BASE_URL/assets/index-52e8ab2f.css">
   </head>
   <body>
@@ -14,9 +14,7 @@
       try {
         window.CONFIG_SCHEMA = ____LANGSERVE_CONFIG_SCHEMA;
         window.INPUT_SCHEMA = ____LANGSERVE_INPUT_SCHEMA;
-        window.OUTPUT_SCHEMA = ____LANGSERVE_OUTPUT_SCHEMA;
         window.FEEDBACK_ENABLED = ____LANGSERVE_FEEDBACK_ENABLED;
-        window.PUBLIC_TRACE_LINK_ENABLED = ____LANGSERVE_PUBLIC_TRACE_LINK_ENABLED;
       } catch (error) {
         // pass
       }

langserve/playground/index.html

@@ -12,9 +12,7 @@
       try {
         window.CONFIG_SCHEMA = ____LANGSERVE_CONFIG_SCHEMA;
         window.INPUT_SCHEMA = ____LANGSERVE_INPUT_SCHEMA;
-        window.OUTPUT_SCHEMA = ____LANGSERVE_OUTPUT_SCHEMA;
         window.FEEDBACK_ENABLED = ____LANGSERVE_FEEDBACK_ENABLED;
-        window.PUBLIC_TRACE_LINK_ENABLED = ____LANGSERVE_PUBLIC_TRACE_LINK_ENABLED;
       } catch (error) {
         // pass
       }

langserve/playground/src/components/ChatMessagesControlRenderer.tsx

@@ -6,30 +6,12 @@ import {
   schemaMatches,
   Paths,
   isControl,
-  JsonSchema,
 } from "@jsonforms/core";
 import { useStreamCallback } from "../useStreamCallback";
 import { isJsonSchemaExtra } from "../utils/schema";
 import { MessageFields, ChatMessageInput } from "./ChatMessageInput";
 import { useEffect } from "react";
 
-function checkItemSchema(schema: JsonSchema) {
-  const isObjectMessage =
-    schema.type === "object" &&
-    (schema.title?.endsWith("Message") ||
-      schema.title?.endsWith("MessageChunk"));
-
-  const isTupleMessage =
-    schema.type === "array" &&
-    schema.minItems === 2 &&
-    schema.maxItems === 2 &&
-    Array.isArray(schema.items) &&
-    schema.items.length === 2 &&
-    schema.items.every((schema) => schema.type === "string");
-
-  return isObjectMessage || isTupleMessage;
-}
-
 export const chatMessagesTester = rankWith(
   12,
   and(
@@ -52,11 +34,22 @@ export const chatMessagesTester = rankWith(
       }
 
       if ("anyOf" in schema.items && schema.items.anyOf != null) {
-        return schema.items.anyOf.every(checkItemSchema);
-      }
+        return schema.items.anyOf.every((schema) => {
+          const isObjectMessage =
+            schema.type === "object" &&
+            (schema.title?.endsWith("Message") ||
+              schema.title?.endsWith("MessageChunk"));
 
-      if ("oneOf" in schema.items && schema.items.oneOf != null) {
-        return schema.items.oneOf.every(checkItemSchema);
+          const isTupleMessage =
+            schema.type === "array" &&
+            schema.minItems === 2 &&
+            schema.maxItems === 2 &&
+            Array.isArray(schema.items) &&
+            schema.items.length === 2 &&
+            schema.items.every((schema) => schema.type === "string");
+
+          return isObjectMessage || isTupleMessage;
+        });
       }
 
       return false;
@@ -71,14 +64,10 @@ export const ChatMessagesControlRenderer = withJsonFormsControlProps(
     useEffect(() => {
       if (!isJsonSchemaExtra(props.schema)) return;
       if (props.schema.extra.widget.type !== "chat") return;
-      setTimeout(
-        () =>
-          props.handleChange(props.path, [
-            ...data,
-            { content: "", type: "human" },
-          ]),
-        10
-      );
+      setTimeout(() => props.handleChange(props.path, [
+        ...data,
+        { content: "", type: "human" },
+      ]), 10);
     }, []);
 
     useStreamCallback("onStart", () => {
@@ -92,10 +81,7 @@ export const ChatMessagesControlRenderer = withJsonFormsControlProps(
       if (props.schema.extra.widget.type !== "chat") return;
       if (aggregatedState?.final_output !== undefined) {
         const msgPath = Paths.compose(props.path, `${data.length - 1}`);
-        if (
-          (aggregatedState.final_output as MessageFields)?.type ===
-          "AIMessageChunk"
-        ) {
+        if ((aggregatedState.final_output as MessageFields)?.type === "AIMessageChunk") {
           props.handleChange(
             Paths.compose(msgPath, "content"),
             (aggregatedState.final_output as MessageFields)?.content
@@ -154,7 +140,7 @@ export const ChatMessagesControlRenderer = withJsonFormsControlProps(
                 props.path,
                 data.filter((_, i) => i !== index)
               );
-            };
+            }
             return (
               <ChatMessageInput
                 message={message}
@@ -162,7 +148,7 @@ export const ChatMessagesControlRenderer = withJsonFormsControlProps(
                 handleRemoval={handleChatMessageRemoval}
                 path={props.path}
                 key={index}
-              ></ChatMessageInput>
+                ></ChatMessageInput>
             );
           })}
         </div>

langserve/playground/src/useSchemas.tsx

@@ -13,11 +13,7 @@ declare global {
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
     INPUT_SCHEMA?: any;
     // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    OUTPUT_SCHEMA?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
     FEEDBACK_ENABLED?: any;
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    PUBLIC_TRACE_LINK_ENABLED?: any;
   }
 }
 

langserve/pydantic_v1.py

@@ -0,0 +1,33 @@
+from importlib import metadata
+
+## Create namespaces for pydantic v1 and v2.
+# This code must stay at the top of the file before other modules may
+# attempt to import pydantic since it adds pydantic_v1 and pydantic_v2 to sys.modules.
+#
+# This hack is done for the following reasons:
+# * Langchain will attempt to remain compatible with both pydantic v1 and v2 since
+#   both dependencies and dependents may be stuck on either version of v1 or v2.
+# * Creating namespaces for pydantic v1 and v2 should allow us to write code that
+#   unambiguously uses either v1 or v2 API.
+# * This change is easier to roll out and roll back.
+
+try:
+    # F401: imported but unused
+    from pydantic.v1 import (  # noqa: F401
+        BaseModel,
+        Field,
+        ValidationError,
+        create_model,
+    )
+except ImportError:
+    from pydantic import BaseModel, Field, ValidationError, create_model  # noqa: F401
+
+
+# This is not a pydantic v1 thing, but it feels too small to create a new module for.
+
+PYDANTIC_VERSION = metadata.version("pydantic")
+
+try:
+    _PYDANTIC_MAJOR_VERSION: int = int(PYDANTIC_VERSION.split(".")[0])
+except metadata.PackageNotFoundError:
+    _PYDANTIC_MAJOR_VERSION = -1

langserve/schema.py

@@ -2,11 +2,9 @@ from datetime import datetime
 from typing import Dict, List, Optional, Union
 from uuid import UUID
 
-from pydantic import (
-    BaseModel,
-    Field,
-)
-from pydantic import BaseModel as BaseModelV1
+from pydantic import BaseModel  # Floats between v1 and v2
+
+from langserve.pydantic_v1 import BaseModel as BaseModelV1
 
 
 class CustomUserType(BaseModelV1):
@@ -43,35 +41,14 @@ class SharedResponseMetadata(BaseModelV1):
     pass
 
 
-class FeedbackToken(BaseModelV1):
-    """Represents the feedback tokens for a given request."""
-
-    key: str  # The key of the feedback token
-    token_url: Optional[str] = None
-    expires_at: Optional[datetime] = None
-
-
-class InvokeResponseMetadata(SharedResponseMetadata):
-    """Represents response metadata used for just single input/output LangServe
+class SingletonResponseMetadata(SharedResponseMetadata):
+    """
+    Represents response metadata used for just single input/output LangServe
     responses.
     """
 
     # Represents the parent run id for a given request
     run_id: UUID
-    feedback_tokens: List[FeedbackToken] = Field(
-        ...,
-        description=(
-            "Feedback tokens from the given run."
-            "These tokens allow a user to provide feedback on the run."
-            "Only available if server was configured to provide feedback tokens."
-        ),
-    )
-
-
-# Alias for backwards compatibility
-# Keep here in case clients are somehow using this for type checking
-# TODO(Deprecate): This should be deprecated in 2025.
-SingletonResponseMetadata = InvokeResponseMetadata
 
 
 class BatchResponseMetadata(SharedResponseMetadata):
@@ -80,25 +57,17 @@ class BatchResponseMetadata(SharedResponseMetadata):
     responses.
     """
 
-    # This namespace can include any additional metadata that is shared
-    # across all responses in the batch (e.g., if a batch run
-    # ID was a thing, it would go here)
-
-    # metadata for each individual response in the batch
-    # Parallel list of InvokeResponseMetadata objects matching
-    # the individual requests in the batch
-    responses: List[InvokeResponseMetadata]
-
-    # A list of UUIDs
     # Represents each parent run id for a given request, in
     # the same order in which they were received
-    run_ids: List[UUID]  # For backwards compatibility, clients should not use this
+    run_ids: List[UUID]
 
 
 class BaseFeedback(BaseModel):
-    """Shared information between create requests of feedback and feedback objects"""
+    """
+    Shared information between create requests of feedback and feedback objects
+    """
 
-    run_id: Optional[UUID]
+    run_id: UUID
     """The associated run ID this feedback is logged for."""
 
     key: str
@@ -114,34 +83,18 @@ class BaseFeedback(BaseModel):
     """Comment or explanation for the feedback."""
 
 
-class FeedbackCreateRequestTokenBased(BaseModel):
-    """Shared information between create requests of feedback and feedback objects."""
-
-    token_or_url: Union[UUID, str]
-    """The associated run ID this feedback is logged for."""
-
-    score: Optional[Union[float, int, bool]] = None
-    """Value or score to assign the run."""
-
-    value: Optional[Union[float, int, bool, str, Dict]] = None
-    """The display value for the feedback if not a metric."""
-
-    comment: Optional[str] = None
-    """Comment or explanation for the feedback."""
-
-    correction: Optional[Dict] = None
-    """Correction for the run."""
-
-    metadata: Optional[Dict] = None
-    """Metadata for the feedback."""
-
-
 class FeedbackCreateRequest(BaseFeedback):
-    """Represents a request that creates feedback for an individual run"""
+    """
+    Represents a request that creates feedback for an individual run
+    """
+
+    pass
 
 
 class Feedback(BaseFeedback):
-    """Represents feedback given on an individual run"""
+    """
+    Represents feedback given on an individual run
+    """
 
     id: UUID
     """The unique ID of the feedback that was created."""
@@ -154,19 +107,3 @@ class Feedback(BaseFeedback):
 
     correction: Optional[Dict] = None
     """Correction for the run."""
-
-
-class PublicTraceLinkCreateRequest(BaseModel):
-    """Represents a request that creates a public trace for an individual run."""
-
-    run_id: UUID
-    """The unique ID of the run to share."""
-
-
-class PublicTraceLink(BaseModel):
-    """
-    Represents a public trace for an individual run
-    """
-
-    public_url: str
-    """Public URL for the trace."""

langserve/serialization.py

@@ -13,12 +13,14 @@ sensitive information from the server to the client.
 import abc
 import logging
 from functools import lru_cache
-from typing import Annotated, Any, Dict, List, Union
+from typing import Any, Dict, List, Union
 
 import orjson
-from langchain_core.agents import AgentAction, AgentActionMessageLog, AgentFinish
-from langchain_core.documents import Document
-from langchain_core.messages import (
+from langchain.prompts.base import StringPromptValue
+from langchain.prompts.chat import ChatPromptValueConcrete
+from langchain.schema.agent import AgentAction, AgentActionMessageLog, AgentFinish
+from langchain.schema.document import Document
+from langchain.schema.messages import (
     AIMessage,
     AIMessageChunk,
     ChatMessage,
@@ -30,15 +32,14 @@ from langchain_core.messages import (
     SystemMessage,
     SystemMessageChunk,
 )
-from langchain_core.outputs import (
+from langchain.schema.output import (
     ChatGeneration,
     ChatGenerationChunk,
     Generation,
+    LLMResult,
 )
-from langchain_core.prompt_values import ChatPromptValueConcrete
-from langchain_core.prompts.base import StringPromptValue
-from pydantic import BaseModel, Field, RootModel, ValidationError
 
+from langserve.pydantic_v1 import BaseModel, ValidationError
 from langserve.validation import CallbackEvent
 
 logger = logging.getLogger(__name__)
@@ -50,35 +51,36 @@ def _log_error_message_once(error_message: str) -> None:
     logger.error(error_message)
 
 
-# A well known LangChain object.
-# A pydantic model that defines what constitutes a well known LangChain object.
-# All well-known objects are allowed to be serialized and de-serialized.
-WellKnownLCObject = RootModel[
-    Annotated[
-        Union[
-            Document,
-            HumanMessage,
-            SystemMessage,
-            ChatMessage,
-            FunctionMessage,
-            AIMessage,
-            HumanMessageChunk,
-            SystemMessageChunk,
-            ChatMessageChunk,
-            FunctionMessageChunk,
-            AIMessageChunk,
-            StringPromptValue,
-            ChatPromptValueConcrete,
-            AgentAction,
-            AgentFinish,
-            AgentActionMessageLog,
-            ChatGeneration,
-            Generation,
-            ChatGenerationChunk,
-        ],
-        Field(discriminator="type"),
+class WellKnownLCObject(BaseModel):
+    """A well known LangChain object.
+
+    A pydantic model that defines what constitutes a well known LangChain object.
+
+    All well-known objects are allowed to be serialized and de-serialized.
+    """
+
+    __root__: Union[
+        Document,
+        HumanMessage,
+        SystemMessage,
+        ChatMessage,
+        FunctionMessage,
+        AIMessage,
+        HumanMessageChunk,
+        SystemMessageChunk,
+        ChatMessageChunk,
+        FunctionMessageChunk,
+        AIMessageChunk,
+        StringPromptValue,
+        ChatPromptValueConcrete,
+        AgentAction,
+        AgentFinish,
+        AgentActionMessageLog,
+        LLMResult,
+        ChatGeneration,
+        Generation,
+        ChatGenerationChunk,
     ]
-]
 
 
 def default(obj) -> Any:
@@ -94,12 +96,12 @@ def _decode_lc_objects(value: Any) -> Any:
         v = {key: _decode_lc_objects(v) for key, v in value.items()}
 
         try:
-            obj = WellKnownLCObject.model_validate(v)
-            parsed = obj.root
+            obj = WellKnownLCObject.parse_obj(v)
+            parsed = obj.__root__
             if set(parsed.dict()) != set(value):
                 raise ValueError("Invalid object")
             return parsed
-        except (ValidationError, ValueError, TypeError):
+        except (ValidationError, ValueError):
             return v
     elif isinstance(value, list):
         return [_decode_lc_objects(item) for item in value]
@@ -122,11 +124,11 @@ def _decode_event_data(value: Any) -> Any:
     if isinstance(value, dict):
         try:
             obj = CallbackEvent.parse_obj(value)
-            return obj.root
+            return obj.__root__
         except ValidationError:
             try:
                 obj = WellKnownLCObject.parse_obj(value)
-                return obj.root
+                return obj.__root__
             except ValidationError:
                 return {key: _decode_event_data(v) for key, v in value.items()}
     elif isinstance(value, list):
@@ -215,7 +217,7 @@ def load_events(events: Any) -> List[Dict[str, Any]]:
             _log_error_message_once(msg)
             continue
 
-        decoded_event_data = _project_top_level(full_event.root)
+        decoded_event_data = _project_top_level(full_event.__root__)
 
         if decoded_event_data["type"].endswith("_error"):
             # Data is validated by this point, so we can assume that the shape

langserve/server.py

@@ -15,15 +15,14 @@ from typing import (
     Union,
 )
 
-from langchain_core.runnables import Runnable
-from pydantic import BaseModel
+from langchain.schema.runnable import Runnable
 from typing_extensions import Annotated
 
-from langserve.api_handler import (
-    APIHandler,
-    PerRequestConfigModifier,
-    TokenFeedbackConfig,
-    _is_hosted,
+from langserve.api_handler import APIHandler, PerRequestConfigModifier, _is_hosted
+from langserve.pydantic_v1 import (
+    _PYDANTIC_MAJOR_VERSION,
+    PYDANTIC_VERSION,
+    BaseModel,
 )
 
 try:
@@ -40,15 +39,71 @@ except ImportError:
 # Duplicated model names break fastapi's openapi generation.
 
 _APP_SEEN = weakref.WeakSet()
-
-# Keeps track of the paths that have been associated with each app.
-# Each runnable registered with an APP will have a unique path.
-# An APP can have multiple runnables registered with it.
-# There are multiple APPs as it's common to use APIRouter in larger
-# FastAPI applications.
 _APP_TO_PATHS = weakref.WeakKeyDictionary()
 
 
+def _setup_global_app_handlers(app: Union[FastAPI, APIRouter]) -> None:
+    @app.on_event("startup")
+    async def startup_event():
+        LANGSERVE = r"""
+ __          ___      .__   __.   _______      _______. _______ .______     ____    ____  _______
+|  |        /   \     |  \ |  |  /  _____|    /       ||   ____||   _  \    \   \  /   / |   ____|
+|  |       /  ^  \    |   \|  | |  |  __     |   (----`|  |__   |  |_)  |    \   \/   /  |  |__
+|  |      /  /_\  \   |  . `  | |  | |_ |     \   \    |   __|  |      /      \      /   |   __|
+|  `----./  _____  \  |  |\   | |  |__| | .----)   |   |  |____ |  |\  \----.  \    /    |  |____
+|_______/__/     \__\ |__| \__|  \______| |_______/    |_______|| _| `._____|   \__/     |_______|
+"""  # noqa: E501
+
+        def green(text: str) -> str:
+            """Return the given text in green."""
+            return "\x1b[1;32;40m" + text + "\x1b[0m"
+
+        def orange(text: str) -> str:
+            """Return the given text in orange."""
+            return "\x1b[1;31;40m" + text + "\x1b[0m"
+
+        paths = _APP_TO_PATHS[app]
+        print(LANGSERVE)
+        for path in paths:
+            print(
+                f'{green("LANGSERVE:")} Playground for chain "{path or ""}/" is '
+                f"live at:"
+            )
+            print(f'{green("LANGSERVE:")}  │')
+            print(f'{green("LANGSERVE:")}  └──> {path}/playground/')
+            print(f'{green("LANGSERVE:")}')
+        print(f'{green("LANGSERVE:")} See all available routes at {app.docs_url}/')
+
+        if _PYDANTIC_MAJOR_VERSION == 2:
+            print()
+            print(f'{orange("LANGSERVE:")} ', end="")
+            print(
+                f"⚠️ Using pydantic {PYDANTIC_VERSION}. "
+                f"OpenAPI docs for invoke, batch, stream, stream_log "
+                f"endpoints will not be generated. API endpoints and playground "
+                f"should work as expected. "
+                f"If you need to see the docs, you can downgrade to pydantic 1. "
+                "For example, `pip install pydantic==1.10.13`. "
+                f"See https://github.com/tiangolo/fastapi/issues/10360 for details."
+            )
+        print()
+
+
+def _register_path_for_app(app: Union[FastAPI, APIRouter], path: str) -> None:
+    """Register a path when its added to app. Raise if path already seen."""
+    if app in _APP_TO_PATHS:
+        seen_paths = _APP_TO_PATHS.get(app)
+        if path in seen_paths:
+            raise ValueError(
+                f"A runnable already exists at path: {path}. If adding "
+                f"multiple runnables make sure they have different paths."
+            )
+        seen_paths.add(path)
+    else:
+        _setup_global_app_handlers(app)
+        _APP_TO_PATHS[app] = {path}
+
+
 # This is the type annotation
 EndpointName = Literal[
     "invoke",
@@ -58,7 +113,6 @@ EndpointName = Literal[
     "stream_events",
     "playground",
     "feedback",
-    "public_trace_link",
     "input_schema",
     "config_schema",
     "output_schema",
@@ -75,8 +129,6 @@ KNOWN_ENDPOINTS = {
     "stream_events",
     "playground",
     "feedback",
-    "token_feedback",
-    "public_trace_link",
     "input_schema",
     "config_schema",
     "output_schema",
@@ -93,7 +145,6 @@ class _EndpointConfiguration:
         enabled_endpoints: Optional[Sequence[EndpointName]] = None,
         disabled_endpoints: Optional[Sequence[EndpointName]] = None,
         enable_feedback_endpoint: bool = False,
-        enable_public_trace_link_endpoint: bool = False,
     ) -> None:
         """Initialize the endpoint configuration."""
         if enabled_endpoints and disabled_endpoints:
@@ -127,7 +178,6 @@ class _EndpointConfiguration:
                 is_output_schema_enabled = True
                 is_config_schema_enabled = True
                 is_config_hash_enabled = True
-                is_token_feedback_enabled = True
             else:
                 disabled_endpoints_ = set(name.lower() for name in disabled_endpoints)
                 if disabled_endpoints_ - KNOWN_ENDPOINTS:
@@ -145,7 +195,6 @@ class _EndpointConfiguration:
                 is_output_schema_enabled = "output_schema" not in disabled_endpoints_
                 is_config_schema_enabled = "config_schema" not in disabled_endpoints_
                 is_config_hash_enabled = "config_hashes" not in disabled_endpoints_
-                is_token_feedback_enabled = "token_feedback" not in disabled_endpoints_
         else:
             enabled_endpoints_ = set(name.lower() for name in enabled_endpoints)
             if enabled_endpoints_ - KNOWN_ENDPOINTS:
@@ -162,7 +211,6 @@ class _EndpointConfiguration:
             is_output_schema_enabled = "output_schema" in enabled_endpoints_
             is_config_schema_enabled = "config_schema" in enabled_endpoints_
             is_config_hash_enabled = "config_hashes" in enabled_endpoints_
-            is_token_feedback_enabled = "token_feedback" in enabled_endpoints_
 
         self.is_invoke_enabled = is_invoke_enabled
         self.is_batch_enabled = is_batch_enabled
@@ -175,63 +223,6 @@ class _EndpointConfiguration:
         self.is_config_schema_enabled = is_config_schema_enabled
         self.is_config_hash_enabled = is_config_hash_enabled
         self.is_feedback_enabled = enable_feedback_endpoint
-        self.is_public_trace_link_enabled = enable_public_trace_link_endpoint
-        self.is_token_feedback_enabled = is_token_feedback_enabled
-
-
-def _register_path_for_app(
-    app: Union[FastAPI, APIRouter],
-    path: str,
-    endpoint_configuration: _EndpointConfiguration,
-) -> None:
-    """Register a path when its added to app. Raise if path already seen."""
-    if app in _APP_TO_PATHS:
-        seen_paths = _APP_TO_PATHS.get(app)
-        if path in seen_paths:
-            raise ValueError(
-                f"A runnable already exists at path: {path}. If adding "
-                f"multiple runnables make sure they have different paths."
-            )
-        seen_paths.add(path)
-    else:
-        _setup_global_app_handlers(app, endpoint_configuration)
-        _APP_TO_PATHS[app] = {path}
-
-
-def _setup_global_app_handlers(
-    app: Union[FastAPI, APIRouter], endpoint_configuration: _EndpointConfiguration
-) -> None:
-    @app.on_event("startup")
-    async def startup_event():
-        LANGSERVE = r"""
- __          ___      .__   __.   _______      _______. _______ .______     ____    ____  _______
-|  |        /   \     |  \ |  |  /  _____|    /       ||   ____||   _  \    \   \  /   / |   ____|
-|  |       /  ^  \    |   \|  | |  |  __     |   (----`|  |__   |  |_)  |    \   \/   /  |  |__
-|  |      /  /_\  \   |  . `  | |  | |_ |     \   \    |   __|  |      /      \      /   |   __|
-|  `----./  _____  \  |  |\   | |  |__| | .----)   |   |  |____ |  |\  \----.  \    /    |  |____
-|_______/__/     \__\ |__| \__|  \______| |_______/    |_______|| _| `._____|   \__/     |_______|
-"""  # noqa: E501
-
-        def green(text: str) -> str:
-            """Return the given text in green."""
-            return "\x1b[1;32;40m" + text + "\x1b[0m"
-
-        def orange(text: str) -> str:
-            """Return the given text in orange."""
-            return "\x1b[1;31;40m" + text + "\x1b[0m"
-
-        paths = _APP_TO_PATHS[app]
-        print(LANGSERVE)
-        for path in paths:
-            if endpoint_configuration.is_playground_enabled:
-                print(
-                    f'{green("LANGSERVE:")} Playground for chain "{path or ""}/" is '
-                    f"live at:"
-                )
-                print(f'{green("LANGSERVE:")}  │')
-                print(f'{green("LANGSERVE:")}  └──> {path}/playground/')
-                print(f'{green("LANGSERVE:")}')
-        print(f'{green("LANGSERVE:")} See all available routes at {app.docs_url}/')
 
 
 # PUBLIC API
@@ -248,13 +239,10 @@ def add_routes(
     include_callback_events: bool = False,
     per_req_config_modifier: Optional[PerRequestConfigModifier] = None,
     enable_feedback_endpoint: bool = _is_hosted(),
-    token_feedback_config: Optional[TokenFeedbackConfig] = None,
-    enable_public_trace_link_endpoint: bool = False,
     disabled_endpoints: Optional[Sequence[EndpointName]] = None,
     stream_log_name_allow_list: Optional[Sequence[str]] = None,
     enabled_endpoints: Optional[Sequence[EndpointName]] = None,
     dependencies: Optional[Sequence[Depends]] = None,
-    playground_type: Literal["default", "chat"] = "default",
 ) -> None:
     """Register the routes on the given FastAPI app or APIRouter.
 
@@ -302,28 +290,12 @@ def add_routes(
         enable_feedback_endpoint: Whether to enable an endpoint for logging feedback
             to LangSmith. Enabled by default. If this flag is disabled or LangSmith
             tracing is not enabled for the runnable, then 400 errors will be thrown
-            when accessing the feedback endpoint.
-        token_feedback_config: optional configuration for token based feedback.
-            **Attention** this is distinct from `enable_feedback_endpoint`.
-            When provided, feedback tokens will be included in the response
-            metadata that can be used to provide feedback on the run.
-            In addition, an endpoint will be created for submitting feedback
-            using the feedback tokens. This is a safer option for public facing
-            APIs as they scope the feedback to a specific run id and key
-            and include an expiration time.
-            This endpoint will be created at /token_feedback
-            **BETA**: This feature is in beta and may change in the future.
-        enable_public_trace_link_endpoint: Whether to enable an endpoint for
-            end-users to publicly view LangSmith traces of your chain runs.
-            WARNING: THIS WILL EXPOSE THE INTERNAL STATE OF YOUR RUN AND CHAIN AS
-            A PUBLICLY ACCESSIBLE LINK.
-            If this flag is disabled or LangSmith tracing is not enabled for
-            the runnable, then 400 errors will be thrown when accessing the endpoint.
+            when accessing the feedback endpoint
         enabled_endpoints: A list of endpoints which should be enabled. If not
             specified, all associated endpoints will be enabled. The list can contain
             the following values: *invoke*, *batch*, *stream*, *stream_log*,
-            *playground*, *input_schema*, *output_schema*,
-            *config_schema*, *config_hashes*.
+            *playground*, *input_schema*, *output_schema*, *config_schema*,
+            *config_hashes*.
 
             *config_hashes* represents the config hash variant (when it exists)
             of each endpoint. Enabling this is useful when working with configurable
@@ -340,14 +312,13 @@ def add_routes(
             )
             ```
 
-            Please note that the feedback endpoint and public trace link endpoints
-            are not included in this list and are controlled by their
-            respective flags.
+            Please note that the feedback endpoint is not included in this list
+            and is controlled by the `enable_feedback_endpoint` flag.
         disabled_endpoints: A list of endpoints which should be disabled. If not
             specified, all associated endpoints will be enabled. The list can contain
             the following values: *invoke*, *batch*, *stream*, *stream_log*,
-            *playground*, *input_schema*, *output_schema*,
-            *config_schema*, *config_hashes*.
+            *playground*, *input_schema*, *output_schema*, *config_schema*,
+            *config_hashes*.
 
             *config_hashes* represents the config hash variant (when it exists)
             of each endpoint. Enabling this is useful when working with configurable
@@ -367,27 +338,11 @@ def add_routes(
             stream as intermediate steps
         dependencies: list of dependencies to be applied to the *path operation*.
             See [FastAPI docs for Dependencies in path operation decorators](https://fastapi.tiangolo.com/tutorial/dependencies/dependencies-in-path-operation-decorators/).
-        playground_type: The type of playground to serve. The default is "default".
-            - default: supports more types of inputs / outputs. Not optimized
-              for any particular use case.
-            - chat: UX is optimized for chat-like interactions. Please review
-              the README in langserve for more details about constraints (e.g.,
-              which message types are supported etc.)
     """  # noqa: E501
-    if not isinstance(runnable, Runnable):
-        raise TypeError(
-            f"Expected a Runnable, got {type(runnable)}. "
-            f"The second argument to add_routes should be a Runnable instance."
-            f"add_route(app, runnable, ...) is the correct usage."
-            f"Please make sure that you are using a runnable which is an instance of "
-            f"langchain_core.runnables.Runnable."
-        )
-
     endpoint_configuration = _EndpointConfiguration(
         enabled_endpoints=enabled_endpoints,
         disabled_endpoints=disabled_endpoints,
         enable_feedback_endpoint=enable_feedback_endpoint,
-        enable_public_trace_link_endpoint=enable_public_trace_link_endpoint,
     )
 
     try:
@@ -408,7 +363,7 @@ def add_routes(
     if isinstance(app, FastAPI):  # type: ignore
         # Cannot do this checking logic for a router since
         # API routers are not hashable
-        _register_path_for_app(app, path, endpoint_configuration)
+        _register_path_for_app(app, path)
 
     # Determine the base URL for the playground endpoint
     prefix = app.prefix if isinstance(app, APIRouter) else ""  # type: ignore
@@ -431,11 +386,8 @@ def add_routes(
         config_keys=config_keys,
         include_callback_events=include_callback_events,
         enable_feedback_endpoint=enable_feedback_endpoint,
-        token_feedback_config=token_feedback_config,
-        enable_public_trace_link_endpoint=enable_public_trace_link_endpoint,
         per_req_config_modifier=per_req_config_modifier,
         stream_log_name_allow_list=stream_log_name_allow_list,
-        playground_type=playground_type,
     )
     namespace = path or ""
 
@@ -455,9 +407,35 @@ def add_routes(
     if hasattr(app, "openapi_tags") and (path or (app not in _APP_SEEN)):
         if not path:
             _APP_SEEN.add(app)
-        default_endpoint_tags = {
-            "name": route_tags[0] if route_tags else "default",
-        }
+
+        if _PYDANTIC_MAJOR_VERSION == 1:
+            # Documentation for the default endpoints
+            default_endpoint_tags = {
+                "name": route_tags[0] if route_tags else "default",
+            }
+        elif _PYDANTIC_MAJOR_VERSION == 2:
+            # When using pydantic v2, we cannot generate openapi docs for
+            # the invoke/batch/stream/stream_log endpoints since the underlying
+            # models are from the pydantic.v1 namespace and cannot be supported
+            # by FastAPI's.
+            # https://github.com/tiangolo/fastapi/issues/10360
+            default_endpoint_tags = {
+                "name": route_tags[0] if route_tags else "default",
+                "description": (
+                    f"⚠️ Using pydantic {PYDANTIC_VERSION}. "
+                    f"OpenAPI docs for `invoke`, `batch`, `stream`, `stream_log` "
+                    f"endpoints will not be generated. API endpoints and playground "
+                    f"should work as expected. "
+                    f"If you need to see the docs, you can downgrade to pydantic 1. "
+                    "For example, `pip install pydantic==1.10.13`"
+                    f"See https://github.com/tiangolo/fastapi/issues/10360 for details."
+                ),
+            }
+        else:
+            raise AssertionError(
+                f"Expected pydantic major version 1 or 2, got {_PYDANTIC_MAJOR_VERSION}"
+            )
+
         if endpoint_configuration.is_config_hash_enabled:
             app.openapi_tags = [
                 *(getattr(app, "openapi_tags", []) or []),
@@ -702,12 +680,6 @@ def add_routes(
                 include_in_schema=False,
             )(playground)
 
-    if endpoint_configuration.is_token_feedback_enabled:
-        app.post(
-            namespace + "/token_feedback",
-            dependencies=dependencies,
-        )(api_handler.create_feedback_from_token)
-
     if enable_feedback_endpoint:
         app.post(
             namespace + "/feedback",
@@ -719,341 +691,333 @@ def add_routes(
             dependencies=dependencies,
         )(api_handler._check_feedback_enabled)
 
-    if enable_public_trace_link_endpoint:
-        app.put(
-            namespace + "/public_trace_link",
-            dependencies=dependencies,
-        )(api_handler.create_public_trace_link)
-
-        app.head(
-            namespace + "/public_trace_link",
-            dependencies=dependencies,
-        )(api_handler._check_public_trace_link_enabled)
-
     #######################################
     # Documentation variants of end points.
     #######################################
     # At the moment, we only support pydantic 1.x for documentation
-    InvokeRequest = api_handler.InvokeRequest
-    InvokeResponse = api_handler.InvokeResponse
-    BatchRequest = api_handler.BatchRequest
-    BatchResponse = api_handler.BatchResponse
-    StreamRequest = api_handler.StreamRequest
-    StreamLogRequest = api_handler.StreamLogRequest
-    StreamEventsRequest = api_handler.StreamEventsRequest
+    if _PYDANTIC_MAJOR_VERSION == 1:
+        InvokeRequest = api_handler.InvokeRequest
+        InvokeResponse = api_handler.InvokeResponse
+        BatchRequest = api_handler.BatchRequest
+        BatchResponse = api_handler.BatchResponse
+        StreamRequest = api_handler.StreamRequest
+        StreamLogRequest = api_handler.StreamLogRequest
+        StreamEventsRequest = api_handler.StreamEventsRequest
 
-    if endpoint_configuration.is_invoke_enabled:
+        if endpoint_configuration.is_invoke_enabled:
 
-        async def _invoke_docs(
-            invoke_request: Annotated[InvokeRequest, InvokeRequest],
-            config_hash: str = "",
-        ) -> InvokeResponse:
-            """Invoke the runnable with the given input and config."""
-            raise AssertionError("This endpoint should not be reachable.")
+            async def _invoke_docs(
+                invoke_request: Annotated[InvokeRequest, InvokeRequest],
+                config_hash: str = "",
+            ) -> InvokeResponse:
+                """Invoke the runnable with the given input and config."""
+                raise AssertionError("This endpoint should not be reachable.")
 
-        invoke_docs = app.post(
-            f"{namespace}/invoke",
-            response_model=api_handler.InvokeResponse,
-            tags=route_tags,
-            name=_route_name("invoke"),
-            dependencies=dependencies,
-        )(_invoke_docs)
-
-        if endpoint_configuration.is_config_hash_enabled:
-            app.post(
-                namespace + "/c/{config_hash}/invoke",
+            invoke_docs = app.post(
+                f"{namespace}/invoke",
                 response_model=api_handler.InvokeResponse,
-                tags=route_tags_with_config,
-                name=_route_name_with_config("invoke"),
+                tags=route_tags,
+                name=_route_name("invoke"),
                 dependencies=dependencies,
-                description=(
-                    "This endpoint is to be used with share links generated by the "
-                    "LangServe playground. "
-                    "The hash is an LZString compressed JSON string. "
-                    "For regular use cases, use the /invoke endpoint without "
-                    "the `c/{config_hash}` path parameter."
-                ),
-            )(invoke_docs)
+            )(_invoke_docs)
 
-    if endpoint_configuration.is_batch_enabled:
+            if endpoint_configuration.is_config_hash_enabled:
+                app.post(
+                    namespace + "/c/{config_hash}/invoke",
+                    response_model=api_handler.InvokeResponse,
+                    tags=route_tags_with_config,
+                    name=_route_name_with_config("invoke"),
+                    dependencies=dependencies,
+                    description=(
+                        "This endpoint is to be used with share links generated by the "
+                        "LangServe playground. "
+                        "The hash is an LZString compressed JSON string. "
+                        "For regular use cases, use the /invoke endpoint without "
+                        "the `c/{config_hash}` path parameter."
+                    ),
+                )(invoke_docs)
 
-        async def _batch_docs(
-            batch_request: Annotated[BatchRequest, BatchRequest],
-            config_hash: str = "",
-        ) -> BatchResponse:
-            """Batch invoke the runnable with the given inputs and config."""
-            raise AssertionError("This endpoint should not be reachable.")
+        if endpoint_configuration.is_batch_enabled:
 
-        batch_docs = app.post(
-            f"{namespace}/batch",
-            response_model=BatchResponse,
-            tags=route_tags,
-            name=_route_name("batch"),
-            dependencies=dependencies,
-        )(_batch_docs)
+            async def _batch_docs(
+                batch_request: Annotated[BatchRequest, BatchRequest],
+                config_hash: str = "",
+            ) -> BatchResponse:
+                """Batch invoke the runnable with the given inputs and config."""
+                raise AssertionError("This endpoint should not be reachable.")
 
-        if endpoint_configuration.is_config_hash_enabled:
-            app.post(
-                namespace + "/c/{config_hash}/batch",
+            batch_docs = app.post(
+                f"{namespace}/batch",
                 response_model=BatchResponse,
-                tags=route_tags_with_config,
-                name=_route_name_with_config("batch"),
+                tags=route_tags,
+                name=_route_name("batch"),
                 dependencies=dependencies,
-                description=(
-                    "This endpoint is to be used with share links generated by the "
-                    "LangServe playground. "
-                    "The hash is an LZString compressed JSON string. "
-                    "For regular use cases, use the /batch endpoint without "
-                    "the `c/{config_hash}` path parameter."
-                ),
-            )(batch_docs)
+            )(_batch_docs)
 
-    if endpoint_configuration.is_stream_enabled:
+            if endpoint_configuration.is_config_hash_enabled:
+                app.post(
+                    namespace + "/c/{config_hash}/batch",
+                    response_model=BatchResponse,
+                    tags=route_tags_with_config,
+                    name=_route_name_with_config("batch"),
+                    dependencies=dependencies,
+                    description=(
+                        "This endpoint is to be used with share links generated by the "
+                        "LangServe playground. "
+                        "The hash is an LZString compressed JSON string. "
+                        "For regular use cases, use the /batch endpoint without "
+                        "the `c/{config_hash}` path parameter."
+                    ),
+                )(batch_docs)
 
-        async def _stream_docs(
-            stream_request: Annotated[StreamRequest, StreamRequest],
-            config_hash: str = "",
-        ) -> EventSourceResponse:
-            """Invoke the runnable stream the output.
+        if endpoint_configuration.is_stream_enabled:
 
-            This endpoint allows to stream the output of the runnable.
+            async def _stream_docs(
+                stream_request: Annotated[StreamRequest, StreamRequest],
+                config_hash: str = "",
+            ) -> EventSourceResponse:
+                """Invoke the runnable stream the output.
 
-            The endpoint uses a server sent event stream to stream the output.
+                This endpoint allows to stream the output of the runnable.
 
-            https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
+                The endpoint uses a server sent event stream to stream the output.
 
-            Important: Set the "text/event-stream" media type for request headers if
-                not using an existing SDK.
+                https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
 
-            The events that the endpoint uses are the following:
-            * "data" -- used for streaming the output of the runnale
-            * "error" -- signaling an error while streaming and ends the stream.
-            * "end" -- used for signaling the end of the stream
-            * "metadata" -- used for sending metadata about the run; e.g., run id.
+                Important: Set the "text/event-stream" media type for request headers if
+                    not using an existing SDK.
 
-            The event type is in the "event" field of the event.
-            The payload associated with the event is in the "data" field
-            of the event, and it is JSON encoded.
+                The events that the endpoint uses are the following:
+                * "data" -- used for streaming the output of the runnale
+                * "error" -- signaling an error while streaming and ends the stream.
+                * "end" -- used for signaling the end of the stream
+                * "metadata" -- used for sending metadata about the run; e.g., run id.
+
+                The event type is in the "event" field of the event.
+                The payload associated with the event is in the "data" field
+                of the event, and it is JSON encoded.
 
 
-            Here are some examples of events that the endpoint can send:
-
-            Regular streaming event:
-            {
-                "event": "data",
-                "data": {
-                    ...
-                }
-            }
-
-            Internal server error:
-            {
-                "event": "error",
-                "data": {
-                    "status_code": 500,
-                    "message": "Internal Server Error"
-                }
-            }
-
-            Streaming ended so client should stop listening for events:
-            {
-                "event": "end",
-            }
-            """
-            raise AssertionError("This endpoint should not be reachable.")
-
-        stream_docs = app.post(
-            f"{namespace}/stream",
-            include_in_schema=True,
-            tags=route_tags,
-            name=_route_name("stream"),
-            dependencies=dependencies,
-            description=(
-                "This endpoint allows to stream the output of the runnable. "
-                "The endpoint uses a server sent event stream to stream the "
-                "output. "
-                "https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events"
-            ),
-        )(_stream_docs)
-
-        if endpoint_configuration.is_config_hash_enabled:
-            app.post(
-                namespace + "/c/{config_hash}/stream",
-                include_in_schema=True,
-                tags=route_tags_with_config,
-                name=_route_name_with_config("stream"),
-                dependencies=dependencies,
-                description=(
-                    "This endpoint is to be used with share links generated by the "
-                    "LangServe playground. "
-                    "The hash is an LZString compressed JSON string. "
-                    "For regular use cases, use the /stream endpoint without "
-                    "the `c/{config_hash}` path parameter."
-                ),
-            )(stream_docs)
-
-    if endpoint_configuration.is_stream_log_enabled:
-
-        async def _stream_log_docs(
-            stream_log_request: Annotated[StreamLogRequest, StreamLogRequest],
-            config_hash: str = "",
-        ) -> EventSourceResponse:
-            """Invoke the runnable stream_log the output.
-
-            This endpoint allows to stream the output of the runnable, including
-            the output of all intermediate steps.
-
-            The endpoint uses a server sent event stream to stream the output.
-
-            https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
-
-            Important: Set the "text/event-stream" media type for request headers if
-                       not using an existing SDK.
-
-            This endpoint uses two different types of events:
-
-            * data - for streaming the output of the runnable
+                Here are some examples of events that the endpoint can send:
 
+                Regular streaming event:
                 {
                     "event": "data",
                     "data": {
-                    ...
+                        ...
                     }
                 }
 
-            * error - for signaling an error in the stream, also ends the stream.
-
-            {
-                "event": "error",
-                "data": {
-                    "status_code": 500,
-                    "message": "Internal Server Error"
+                Internal server error:
+                {
+                    "event": "error",
+                    "data": {
+                        "status_code": 500,
+                        "message": "Internal Server Error"
+                    }
                 }
-            }
-
-            * end - for signaling the end of the stream.
-
-                This helps the client to know when to stop listening for events and
-                know that the streaming has ended successfully.
 
+                Streaming ended so client should stop listening for events:
                 {
                     "event": "end",
                 }
-            """
-            raise AssertionError("This endpoint should not be reachable.")
+                """
+                raise AssertionError("This endpoint should not be reachable.")
 
-        app.post(
-            f"{namespace}/stream_log",
-            include_in_schema=True,
-            tags=route_tags,
-            name=_route_name("stream_log"),
-            dependencies=dependencies,
-        )(_stream_log_docs)
-
-        if endpoint_configuration.is_config_hash_enabled:
-            app.post(
-                namespace + "/c/{config_hash}/stream_log",
+            stream_docs = app.post(
+                f"{namespace}/stream",
                 include_in_schema=True,
-                tags=route_tags_with_config,
-                name=_route_name_with_config("stream_log"),
+                tags=route_tags,
+                name=_route_name("stream"),
+                dependencies=dependencies,
                 description=(
-                    "This endpoint is to be used with share links generated by the "
-                    "LangServe playground. "
-                    "The hash is an LZString compressed JSON string. "
-                    "For regular use cases, use the /stream_log endpoint without "
-                    "the `c/{config_hash}` path parameter."
+                    "This endpoint allows to stream the output of the runnable. "
+                    "The endpoint uses a server sent event stream to stream the "
+                    "output. "
+                    "https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events"
                 ),
+            )(_stream_docs)
+
+            if endpoint_configuration.is_config_hash_enabled:
+                app.post(
+                    namespace + "/c/{config_hash}/stream",
+                    include_in_schema=True,
+                    tags=route_tags_with_config,
+                    name=_route_name_with_config("stream"),
+                    dependencies=dependencies,
+                    description=(
+                        "This endpoint is to be used with share links generated by the "
+                        "LangServe playground. "
+                        "The hash is an LZString compressed JSON string. "
+                        "For regular use cases, use the /stream endpoint without "
+                        "the `c/{config_hash}` path parameter."
+                    ),
+                )(stream_docs)
+
+        if endpoint_configuration.is_stream_log_enabled:
+
+            async def _stream_log_docs(
+                stream_log_request: Annotated[StreamLogRequest, StreamLogRequest],
+                config_hash: str = "",
+            ) -> EventSourceResponse:
+                """Invoke the runnable stream_log the output.
+
+                This endpoint allows to stream the output of the runnable, including
+                the output of all intermediate steps.
+
+                The endpoint uses a server sent event stream to stream the output.
+
+                https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
+
+                Important: Set the "text/event-stream" media type for request headers if
+                           not using an existing SDK.
+
+                This endpoint uses two different types of events:
+
+                * data - for streaming the output of the runnable
+
+                    {
+                        "event": "data",
+                        "data": {
+                        ...
+                        }
+                    }
+
+                * error - for signaling an error in the stream, also ends the stream.
+
+                {
+                    "event": "error",
+                    "data": {
+                        "status_code": 500,
+                        "message": "Internal Server Error"
+                    }
+                }
+
+                * end - for signaling the end of the stream.
+
+                    This helps the client to know when to stop listening for events and
+                    know that the streaming has ended successfully.
+
+                    {
+                        "event": "end",
+                    }
+                """
+                raise AssertionError("This endpoint should not be reachable.")
+
+            app.post(
+                f"{namespace}/stream_log",
+                include_in_schema=True,
+                tags=route_tags,
+                name=_route_name("stream_log"),
                 dependencies=dependencies,
             )(_stream_log_docs)
 
-    if has_astream_events and endpoint_configuration.is_stream_events_enabled:
+            if endpoint_configuration.is_config_hash_enabled:
+                app.post(
+                    namespace + "/c/{config_hash}/stream_log",
+                    include_in_schema=True,
+                    tags=route_tags_with_config,
+                    name=_route_name_with_config("stream_log"),
+                    description=(
+                        "This endpoint is to be used with share links generated by the "
+                        "LangServe playground. "
+                        "The hash is an LZString compressed JSON string. "
+                        "For regular use cases, use the /stream_log endpoint without "
+                        "the `c/{config_hash}` path parameter."
+                    ),
+                    dependencies=dependencies,
+                )(_stream_log_docs)
 
-        async def _stream_events_docs(
-            stream_events_request: Annotated[StreamEventsRequest, StreamEventsRequest],
-            config_hash: str = "",
-        ) -> EventSourceResponse:
-            """Stream events from the given runnable.
+        if has_astream_events and endpoint_configuration.is_stream_events_enabled:
 
-            This endpoint allows to stream events from the runnable, including
-            events from all intermediate steps.
+            async def _stream_events_docs(
+                stream_events_request: Annotated[
+                    StreamEventsRequest, StreamEventsRequest
+                ],
+                config_hash: str = "",
+            ) -> EventSourceResponse:
+                """Stream events from the given runnable.
 
-            **Attention**
+                This endpoint allows to stream events from the runnable, including
+                events from all intermediate steps.
 
-                This is a new endpoint that only works for langchain-core >= 0.1.14.
+                **Attention**
 
-                It belongs to a Beta API that may change in the future.
+                    This is a new endpoint that only works for langchain-core >= 0.1.14.
 
-            **Important**
-                Specify filters to the events you want to receive by setting
-                the appropriate filters in the request body.
+                    It belongs to a Beta API that may change in the future.
 
-                This will help avoid sending too much data over the network.
+                **Important**
+                    Specify filters to the events you want to receive by setting
+                    the appropriate filters in the request body.
 
-                It will also prevent serialization issues with
-                any unsupported types since it won't need to serialize events
-                that aren't transmitted.
+                    This will help avoid sending too much data over the network.
 
-            The endpoint uses a server sent event stream to stream the output.
+                    It will also prevent serialization issues with
+                    any unsupported types since it won't need to serialize events
+                    that aren't transmitted.
 
-            https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
+                The endpoint uses a server sent event stream to stream the output.
 
-            The encoding of events follows the following format:
+                https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
 
-            * data - for streaming the output of the runnable
+                The encoding of events follows the following format:
+
+                * data - for streaming the output of the runnable
+
+                    {
+                        "event": "data",
+                        "data": {
+                        ...
+                        }
+                    }
+
+                * error - for signaling an error in the stream, also ends the stream.
 
                 {
-                    "event": "data",
+                    "event": "error",
                     "data": {
-                    ...
+                        "status_code": 500,
+                        "message": "Internal Server Error"
                     }
                 }
 
-            * error - for signaling an error in the stream, also ends the stream.
+                * end - for signaling the end of the stream.
 
-            {
-                "event": "error",
-                "data": {
-                    "status_code": 500,
-                    "message": "Internal Server Error"
-                }
-            }
+                    This helps the client to know when to stop listening for events and
+                    know that the streaming has ended successfully.
 
-            * end - for signaling the end of the stream.
+                    {
+                        "event": "end",
+                    }
 
-                This helps the client to know when to stop listening for events and
-                know that the streaming has ended successfully.
+                `data` for the `data` event is a JSON object that corresponds
+                to a serialized representation of a StreamEvent.
 
-                {
-                    "event": "end",
-                }
+                See LangChain documentation for more information about astream_events.
+                """
+                raise AssertionError("This endpoint should not be reachable.")
 
-            `data` for the `data` event is a JSON object that corresponds
-            to a serialized representation of a StreamEvent.
-
-            See LangChain documentation for more information about astream_events.
-            """
-            raise AssertionError("This endpoint should not be reachable.")
-
-        app.post(
-            f"{namespace}/stream_events",
-            include_in_schema=True,
-            tags=route_tags,
-            name=_route_name("stream_events"),
-            dependencies=dependencies,
-        )(_stream_events_docs)
-
-        if endpoint_configuration.is_config_hash_enabled:
             app.post(
-                namespace + "/c/{config_hash}/stream_events",
+                f"{namespace}/stream_events",
                 include_in_schema=True,
-                tags=route_tags_with_config,
-                name=_route_name_with_config("stream_events"),
-                description=(
-                    "This endpoint is to be used with share links generated by the "
-                    "LangServe playground. "
-                    "The hash is an LZString compressed JSON string. "
-                    "For regular use cases, use the /stream_events endpoint "
-                    "without the `c/{config_hash}` path parameter."
-                ),
+                tags=route_tags,
+                name=_route_name("stream_events"),
                 dependencies=dependencies,
             )(_stream_events_docs)
+
+            if endpoint_configuration.is_config_hash_enabled:
+                app.post(
+                    namespace + "/c/{config_hash}/stream_events",
+                    include_in_schema=True,
+                    tags=route_tags_with_config,
+                    name=_route_name_with_config("stream_events"),
+                    description=(
+                        "This endpoint is to be used with share links generated by the "
+                        "LangServe playground. "
+                        "The hash is an LZString compressed JSON string. "
+                        "For regular use cases, use the /stream_events endpoint "
+                        "without the `c/{config_hash}` path parameter."
+                    ),
+                    dependencies=dependencies,
+                )(_stream_events_docs)