0.2.2 release (#675)

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>

.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"],
+  "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."
 }

README.md

@@ -12,7 +12,7 @@ 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
@@ -128,13 +128,13 @@ 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 +331,14 @@ 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 +427,7 @@ 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.

poetry.lock

@@ -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"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langserve"
-version = "0.2.1"
+version = "0.2.2"
 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