infra: release permissions (#738 )

Release 0.2.3 (#737 )
Support correction when creating feedback with token (#736 )
2026-07-25 13:15:44 -04:00 · 2024-09-01 22:09:28 -04:00 · 2024-09-01 21:55:23 -04:00 · 2024-09-01 21:43:50 -04:00 · 2024-07-26 14:29:38 -04:00 · 2024-07-22 14:40:03 -04:00
7 changed files with 27 additions and 27 deletions
@@ -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"],
+  "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"],
  "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."
 }
@@ -10,4 +10,5 @@ jobs:
      ./.github/workflows/_release.yml
    with:
      working-directory: .
+    permissions: write-all
    secrets: inherit
@@ -5,14 +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://forms.gle/KC13Nzn76UeLaghK7)
-to get on the waitlist.
-
 ## Overview

 [LangServe](https://github.com/langchain-ai/langserve) helps developers
-deploy `LangChain` [runnables and chains](https://python.langchain.com/v0.2/docs/how_to/#langchain-expression-language-lcel)
+deploy `LangChain` [runnables and chains](https://python.langchain.com/docs/expression_language/)
 as a REST API.

 This library is integrated with [FastAPI](https://fastapi.tiangolo.com/) and
@@ -42,6 +38,13 @@ 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
@@ -49,13 +52,6 @@ in [LangChain.js](https://js.langchain.com/docs/ecosystem/langserve).
  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://forms.gle/KC13Nzn76UeLaghK7)
-to get on the waitlist.
-
 ## Security

 - Vulnerability in Versions 0.0.13 - 0.0.15 -- playground endpoint allows accessing
@@ -128,13 +124,13 @@ directory.
 | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | **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 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) |
+| **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/v0.2/docs/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/v0.2/docs/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/v0.2/docs/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/v0.2/docs/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 `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)                         |
 | **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)                                                                                                                                   |
@@ -331,14 +327,14 @@ adds of these endpoints to the server:
 - `GET /my_runnable/config_schema` - json schema for config of the runnable

 These endpoints match
-the [LangChain Expression Language interface](https://python.langchain.com/v0.2/docs/how_to/lcel_cheatsheet/) --
+the [LangChain Expression Language interface](https://python.langchain.com/docs/expression_language/interface) --
 please reference this documentation for more details.

 ## Playground

 You can find a playground page for your runnable at `/my_runnable/playground/`. This
 exposes a simple UI
-to [configure](https://python.langchain.com/v0.2/docs/how_to/configure/)
+to [configure](https://python.langchain.com/docs/expression_language/how_to/configure)
 and invoke your runnable with streaming output and intermediate steps.

 <p align="center">
@@ -427,7 +423,7 @@ for demos or testing.
 ## Legacy Chains

 LangServe works with both Runnables (constructed
-via [LangChain Expression Language](https://python.langchain.com/v0.2/docs/how_to/#langchain-expression-language-lcel))
+via [LangChain Expression Language](https://python.langchain.com/docs/expression_language/))
 and legacy chains (inheriting from `Chain`).
 However, some of the input schemas for legacy chains may be incomplete/incorrect,
 leading to errors.
@@ -479,7 +475,7 @@ 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].
+   Pydantic V2. Fast API does not support [mixing pydantic v1 and v2 namespaces]. To fix this, use `pip install pydantic==1.10.17`.
 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)

@@ -1590,6 +1590,7 @@ class APIHandler:
            score=create_request.score,
            value=create_request.value,
            comment=create_request.comment,
+            correction=create_request.correction,
            metadata=metadata,
        )

@@ -4042,10 +4042,10 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p

 [extras]
 all = ["fastapi", "sse-starlette"]
-client = []
+client = ["fastapi"]
 server = ["fastapi", "sse-starlette"]

 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8.1"
-content-hash = "5a3e72b44fdea68f4070b9a6e891618fed0761b59b0a7850f0c89e257f6b5e43"
+content-hash = "977dc6680008cf9a04eb19176e58c00fb61436e90a957846963b787cb1f3e1ea"
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langserve"
-version = "0.2.1"
+version = "0.2.3"
 description = ""
 readme = "README.md"
 authors = ["LangChain"]
@@ -47,7 +47,7 @@ sse-starlette = "^1.3.0"

 [tool.poetry.extras]
 # Extras that are used for client
-client = []
+client = ["fastapi"]
 # Extras that are used for server
 server = ["sse-starlette", "fastapi"]
 # All
@@ -3066,7 +3066,8 @@ async def test_token_feedback_endpoint() -> None:
            local_app, raise_app_exceptions=True
        ) as async_client:
            response = await async_client.post(
-                "/token_feedback", json={"token_or_url": "some_url", "score": 3}
+                "/token_feedback",
+                json={"token_or_url": "some_url", "score": 3},
            )
            assert response.status_code == 200

@@ -3077,4 +3078,5 @@ async def test_token_feedback_endpoint() -> None:
                "metadata": {"from_langserve": True},
                "score": 3,
                "value": None,
+                "correction": None,
            }
Author	SHA1	Message	Date
Erick Friis	d4704c2b45	infra: release permissions (#738 )	2024-09-01 22:09:28 -04:00
Eugene Yurtsev	c259ec3e4d	Release 0.2.3 (#737 )	2024-09-01 21:55:23 -04:00
William FH	62e648a2bf	Support correction when creating feedback with token (#736 ) Closes https://github.com/langchain-ai/langserve/issues/735 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2024-09-01 21:43:50 -04:00
Eugene Yurtsev	a74e072486	Add langgraph compatibility section (#718 )	2024-07-26 14:29:38 -04:00
Erick Friis	1487bf1ce5	Add instructions to address pydantic v2 incompatibility (#713 )	2024-07-22 14:40:03 -04:00
ccurme	050a0cc674	update readme (#697 )	2024-06-28 11:02:32 -04:00
Eugene Yurtsev	3fc76eca05	0.2.2 release (#675 )	2024-06-10 14:41:50 -04:00
Dennis Rall	df3aa45ef8	chore: add fastapi to client extra (#666 ) Just a quickfix for #212. It would be better not to have to install fastapi only for using the client, but in my opinion this is still better then getting errors when importing the `RemoteRunnable` after a `pip install "langserve[client]"`. Otherwise at least the readme should be updated. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2024-06-10 13:05:47 -04:00
Eugene Yurtsev	577dcc779f	Update .clabot (#674 )	2024-06-10 12:35:17 -04:00