From 3db9f6b98aafc0ae1f988bba8be1701b7bb17a42 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Tue, 26 Mar 2024 17:07:11 -0400 Subject: [PATCH 01/37] Update .clabot (#558) --- .clabot | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.clabot b/.clabot index d0b25633..0cbb898c 100644 --- a/.clabot +++ b/.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"], + "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"], "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." } From 4e1993c945842b161dfbd0318b42ebba55ed9cf7 Mon Sep 17 00:00:00 2001 From: Warren Markham Date: Wed, 27 Mar 2024 08:07:36 +1100 Subject: [PATCH 02/37] doc: link server example to server.py instead of client.ipynb (#553) Co-authored-by: Eugene Yurtsev --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2782fe21..26df8379 100644 --- a/README.md +++ b/README.md @@ -106,7 +106,7 @@ directory. | [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/client.ipynb), [client](https://github.com/langchain-ai/langserve/tree/main/examples/passthrough_dict/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/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) | From 31004e9d900e47a08e9d143aee6b34df78805671 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 27 Mar 2024 17:20:12 -0400 Subject: [PATCH 03/37] Update splashscreen (#563) Update splash screen to take into account information about whether the playground is enabled/disabled --- langserve/server.py | 139 ++++++++++++++++++++++++-------------------- 1 file changed, 76 insertions(+), 63 deletions(-) diff --git a/langserve/server.py b/langserve/server.py index cf4a8a78..f94a3b84 100644 --- a/langserve/server.py +++ b/langserve/server.py @@ -39,69 +39,13 @@ # Duplicated model names break fastapi's openapi generation. _APP_SEEN = weakref.WeakSet() -_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} +# 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() # This is the type annotation @@ -229,6 +173,75 @@ def __init__( self.is_public_trace_link_enabled = enable_public_trace_link_endpoint +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}/') + + 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() + + # PUBLIC API @@ -383,7 +396,7 @@ 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) + _register_path_for_app(app, path, endpoint_configuration) # Determine the base URL for the playground endpoint prefix = app.prefix if isinstance(app, APIRouter) else "" # type: ignore From d1863fdd8b86177462bd03f24b5b3797b92b0dad Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 28 Mar 2024 09:07:46 -0400 Subject: [PATCH 04/37] Transition to langchain-core ^0.1 (#564) Swap out to use only langchain_core --- langserve/api_handler.py | 10 +- langserve/callbacks.py | 9 +- langserve/client.py | 12 +- langserve/playground.py | 2 +- langserve/serialization.py | 12 +- langserve/server.py | 2 +- langserve/validation.py | 10 +- poetry.lock | 323 +------------------------ pyproject.toml | 2 +- tests/unit_tests/test_callbacks.py | 7 +- tests/unit_tests/test_serialization.py | 8 +- tests/unit_tests/test_server_client.py | 31 ++- tests/unit_tests/test_validation.py | 4 +- tests/unit_tests/utils/tracer.py | 2 +- 14 files changed, 60 insertions(+), 374 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 8a4da689..2f0668f0 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -24,11 +24,11 @@ from fastapi import HTTPException from fastapi.encoders import jsonable_encoder from fastapi.exceptions import RequestValidationError -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 langchain_core.callbacks.base import AsyncCallbackHandler +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 +from langchain_core.tracers import RunLogPatch from langsmith import client as ls_client from langsmith.utils import tracing_is_enabled from starlette.requests import Request diff --git a/langserve/callbacks.py b/langserve/callbacks.py index 355aa516..767e6ad0 100644 --- a/langserve/callbacks.py +++ b/langserve/callbacks.py @@ -4,13 +4,16 @@ from typing import Any, Dict, List, Optional, Sequence from uuid import UUID -from langchain.callbacks.base import AsyncCallbackHandler -from langchain.callbacks.manager import ( +from langchain_core.agents import AgentAction, AgentFinish +from langchain_core.callbacks import AsyncCallbackHandler +from langchain_core.callbacks.manager import ( BaseRunManager, ahandle_event, handle_event, ) -from langchain.schema import AgentAction, AgentFinish, BaseMessage, Document, LLMResult +from langchain_core.documents import Document +from langchain_core.messages import BaseMessage +from langchain_core.outputs import LLMResult from typing_extensions import TypedDict diff --git a/langserve/client.py b/langserve/client.py index 9cc92eee..7e7cf21c 100644 --- a/langserve/client.py +++ b/langserve/client.py @@ -22,21 +22,21 @@ import httpx from httpx._types import AuthTypes, CertTypes, CookieTypes, HeaderTypes, VerifyTypes -from langchain.callbacks.manager import ( +from langchain_core.callbacks import ( AsyncCallbackManagerForChainRun, CallbackManagerForChainRun, ) -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 ( +from langchain_core.load.dump import dumpd +from langchain_core.runnables import Runnable +from langchain_core.runnables.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 diff --git a/langserve/playground.py b/langserve/playground.py index 3ba56609..c1bcfafe 100644 --- a/langserve/playground.py +++ b/langserve/playground.py @@ -5,7 +5,7 @@ from typing import Literal, Sequence, Type from fastapi.responses import Response -from langchain.schema.runnable import Runnable +from langchain_core.runnables import Runnable from langserve.pydantic_v1 import BaseModel diff --git a/langserve/serialization.py b/langserve/serialization.py index 48d785ca..186e9ddd 100644 --- a/langserve/serialization.py +++ b/langserve/serialization.py @@ -16,11 +16,9 @@ from typing import Any, Dict, List, Union import orjson -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 ( +from langchain_core.agents import AgentAction, AgentActionMessageLog, AgentFinish +from langchain_core.documents import Document +from langchain_core.messages import ( AIMessage, AIMessageChunk, ChatMessage, @@ -32,12 +30,14 @@ SystemMessage, SystemMessageChunk, ) -from langchain.schema.output import ( +from langchain_core.outputs import ( ChatGeneration, ChatGenerationChunk, Generation, LLMResult, ) +from langchain_core.prompt_values import ChatPromptValueConcrete +from langchain_core.prompts.base import StringPromptValue from langserve.pydantic_v1 import BaseModel, ValidationError from langserve.validation import CallbackEvent diff --git a/langserve/server.py b/langserve/server.py index f94a3b84..e5b40125 100644 --- a/langserve/server.py +++ b/langserve/server.py @@ -15,7 +15,7 @@ Union, ) -from langchain.schema.runnable import Runnable +from langchain_core.runnables import Runnable from typing_extensions import Annotated from langserve.api_handler import APIHandler, PerRequestConfigModifier, _is_hosted diff --git a/langserve/validation.py b/langserve/validation.py index d79cdc80..a24fff5f 100644 --- a/langserve/validation.py +++ b/langserve/validation.py @@ -19,13 +19,9 @@ from typing import Any, Dict, List, Literal, Optional, Sequence, Union from uuid import UUID -from langchain.schema import ( - BaseMessage, - ChatGeneration, - Document, - Generation, - RunInfo, -) +from langchain_core.documents import Document +from langchain_core.messages import BaseMessage +from langchain_core.outputs import ChatGeneration, Generation, RunInfo from typing_extensions import Type from langserve.schema import BatchResponseMetadata, SingletonResponseMetadata diff --git a/poetry.lock b/poetry.lock index 9995cf80..330b5fc3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -670,21 +670,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1 [package.extras] toml = ["tomli"] -[[package]] -name = "dataclasses-json" -version = "0.6.3" -description = "Easily serialize dataclasses to and from JSON." -optional = false -python-versions = ">=3.7,<4.0" -files = [ - {file = "dataclasses_json-0.6.3-py3-none-any.whl", hash = "sha256:4aeb343357997396f6bca1acae64e486c3a723d8f5c76301888abeccf0c45176"}, - {file = "dataclasses_json-0.6.3.tar.gz", hash = "sha256:35cb40aae824736fdf959801356641836365219cfe14caeb115c39136f775d2a"}, -] - -[package.dependencies] -marshmallow = ">=3.18.0,<4.0.0" -typing-inspect = ">=0.4.0,<1" - [[package]] name = "debugpy" version = "1.8.0" @@ -898,76 +883,6 @@ files = [ {file = "frozenlist-1.4.0.tar.gz", hash = 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"typing-inspect" -version = "0.9.0" -description = "Runtime inspection utilities for typing module." -optional = false -python-versions = "*" -files = [ - {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"}, - {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"}, -] - -[package.dependencies] -mypy-extensions = ">=0.3.0" -typing-extensions = ">=3.7.4" - [[package]] name = "uri-template" version = "1.3.0" @@ -4081,4 +3760,4 @@ server = ["fastapi", "sse-starlette"] [metadata] lock-version = "2.0" python-versions = "^3.8.1" -content-hash = "92a78ecee32d12b6ed8d4b2556631701a1b26d4d4e9b0e0dbbfd8f3577a6204a" +content-hash = "880643c0bae664347320a0b9db10ee83bba316bb7cf6aeabe0ee91b1d30aa168" diff --git a/pyproject.toml b/pyproject.toml index 0c8c1279..2a6a7e5d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ fastapi = {version = ">=0.90.1,<1", optional = true} sse-starlette = {version = "^1.3.0", optional = true} httpx-sse = {version = ">=0.3.1", optional = true} pydantic = ">=1" -langchain = ">=0.0.333" +langchain-core = "^0.1.0" orjson = ">=2" [tool.poetry.group.dev.dependencies] diff --git a/tests/unit_tests/test_callbacks.py b/tests/unit_tests/test_callbacks.py index b3c0484f..f36efcfd 100644 --- a/tests/unit_tests/test_callbacks.py +++ b/tests/unit_tests/test_callbacks.py @@ -1,14 +1,13 @@ import uuid +from langchain_core.prompts import ChatPromptTemplate + from langserve.callbacks import AsyncEventAggregatorCallback, replace_uuids +from tests.unit_tests.utils.llms import FakeListLLM async def test_event_aggregator() -> None: """Test that the event aggregator is aggregating events.""" - - from langchain.llms import FakeListLLM - from langchain.prompts import ChatPromptTemplate - prompt = ChatPromptTemplate.from_template("{question}") llm = FakeListLLM(responses=["hello", "world"]) diff --git a/tests/unit_tests/test_serialization.py b/tests/unit_tests/test_serialization.py index 4a77ce13..ab00b7fc 100644 --- a/tests/unit_tests/test_serialization.py +++ b/tests/unit_tests/test_serialization.py @@ -4,12 +4,8 @@ from typing import Any import pytest -from langchain.schema.messages import ( - HumanMessage, - HumanMessageChunk, - SystemMessage, -) -from langchain.schema.output import ChatGeneration +from langchain_core.messages import HumanMessage, HumanMessageChunk, SystemMessage +from langchain_core.outputs import ChatGeneration try: from pydantic.v1 import BaseModel diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index 658a886e..e5acb0d5 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -26,20 +26,33 @@ from fastapi import APIRouter, Depends, FastAPI, Header, HTTPException, Request from fastapi.testclient import TestClient from httpx import AsyncClient -from langchain.callbacks.tracers.log_stream import RunLog, RunLogPatch -from langchain.prompts import PromptTemplate -from langchain.prompts.base import StringPromptValue -from langchain.schema.messages import HumanMessage, SystemMessage -from langchain.schema.runnable import Runnable, RunnableConfig, RunnablePassthrough -from langchain.schema.runnable.base import RunnableLambda -from langchain.schema.runnable.utils import ConfigurableField, Input, Output from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.documents import Document -from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage +from langchain_core.messages import ( + AIMessage, + AIMessageChunk, + BaseMessage, + HumanMessage, + SystemMessage, +) from langchain_core.output_parsers import StrOutputParser from langchain_core.outputs import ChatGenerationChunk, LLMResult -from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder +from langchain_core.prompt_values import StringPromptValue +from langchain_core.prompts import ( + ChatPromptTemplate, + MessagesPlaceholder, + PromptTemplate, +) +from langchain_core.runnables import ( + ConfigurableField, + Runnable, + RunnableConfig, + RunnableLambda, + RunnablePassthrough, +) from langchain_core.runnables.history import RunnableWithMessageHistory +from langchain_core.runnables.utils import Input, Output +from langchain_core.tracers import RunLog, RunLogPatch from langsmith import schemas as ls_schemas from pytest import MonkeyPatch from pytest_mock import MockerFixture diff --git a/tests/unit_tests/test_validation.py b/tests/unit_tests/test_validation.py index 43d5029b..8b5d0255 100644 --- a/tests/unit_tests/test_validation.py +++ b/tests/unit_tests/test_validation.py @@ -3,8 +3,8 @@ import pytest from fastapi import Request -from langchain.prompts import PromptTemplate -from langchain.schema.runnable.utils import ConfigurableField +from langchain_core.prompts import PromptTemplate +from langchain_core.runnables import ConfigurableField from langserve.api_handler import _unpack_request_config diff --git a/tests/unit_tests/utils/tracer.py b/tests/unit_tests/utils/tracer.py index a0a2dafd..a634b9b9 100644 --- a/tests/unit_tests/utils/tracer.py +++ b/tests/unit_tests/utils/tracer.py @@ -1,7 +1,7 @@ from typing import Dict, List from uuid import UUID -from langchain.callbacks.tracers.base import BaseTracer +from langchain_core.tracers import BaseTracer from langsmith.schemas import Run From 5a629af7df5471a810ed0073d7d07405f4031734 Mon Sep 17 00:00:00 2001 From: Rahil Vora Date: Thu, 28 Mar 2024 06:21:26 -0700 Subject: [PATCH 05/37] [minor][doc] Updates setup instruction for LangServe app (#549) Add `Setup` instruction to run `langserve` app locally. --- README.md | 26 +++++++++++++++++++++++++- 1 file changed, 25 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 26df8379..f214d144 100644 --- a/README.md +++ b/README.md @@ -79,11 +79,35 @@ 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 ../path/to/directory +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 +``` + + ## Examples Get your LangServe instance started quickly with From f5187760968b644e306f49716e86472706a06c91 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 28 Mar 2024 09:29:33 -0400 Subject: [PATCH 06/37] Only surface callback events in response schema if callbacks are enabled (#566) This change cleans up the schema surfaced via openapi docs to not include callback event schema if the server does not respond with it. --- langserve/api_handler.py | 6 ++-- langserve/validation.py | 64 ++++++++++++++++++++++++++-------------- 2 files changed, 46 insertions(+), 24 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 2f0668f0..bab598ea 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -617,9 +617,11 @@ def __init__( ) # Generate the response models self._InvokeResponse = create_invoke_response_model( - model_namespace, output_type_ + model_namespace, output_type_, include_callback_events + ) + self._BatchResponse = create_batch_response_model( + model_namespace, output_type_, include_callback_events ) - self._BatchResponse = create_batch_response_model(model_namespace, output_type_) self.playground_type = playground_type @property diff --git a/langserve/validation.py b/langserve/validation.py index a24fff5f..438c8825 100644 --- a/langserve/validation.py +++ b/langserve/validation.py @@ -260,18 +260,18 @@ class BatchBaseResponse(BaseModel): def create_invoke_response_model( namespace: str, output_type: Validator, + include_callbacks: bool, ) -> Type[BaseModel]: """Create a pydantic model for the invoke response.""" # The invoke response uses a key called `output` for the output, so # other information can be added to the response at a later date. - invoke_response_type = create_model( - f"{namespace}InvokeResponse", - output=(output_type, Field(..., description="The output of the invocation.")), - callback_events=( - List[CallbackEvent], - Field(..., description="Callback events generated by the server side."), + + fields = { + "output": ( + output_type, + Field(..., description="The output of the invocation."), ), - metadata=( + "metadata": ( SingletonResponseMetadata, Field( ..., @@ -281,7 +281,21 @@ def create_invoke_response_model( ), ), ), + } + + if include_callbacks: + fields["callback_events"] = ( + List[CallbackEvent], + Field( + ..., + description=("Callback events generated by the server side."), + ), + ) + + invoke_response_type = create_model( + f"{namespace}InvokeResponse", __base__=InvokeBaseResponse, + **fields, ) invoke_response_type.update_forward_refs() return invoke_response_type @@ -290,42 +304,48 @@ def create_invoke_response_model( def create_batch_response_model( namespace: str, output_type: Validator, + include_callbacks: bool, ) -> Type[BaseModel]: """Create a pydantic model for the batch response.""" # The response uses a key called `output` for the output, so # other information can be added to the response at a later date. - batch_response_type = create_model( - f"{namespace}BatchResponse", - output=( + fields = { + "output": ( List[output_type], Field( ..., - description=( - "The outputs corresponding to the inputs the batch request." - ), + description="The outputs corresponding to the inputs the " + "batch request.", ), ), - callback_events=( - List[List[CallbackEvent]], + "metadata": ( + BatchResponseMetadata, Field( ..., description=( - "Callback events generated by the server side." - "The outer list corresponds to the inputs and the inner " - "list corresponds to the callbacks generated for that input." + "Metadata about the response that may be useful to specific clients" ), ), ), - metadata=( - BatchResponseMetadata, + } + + if include_callbacks: + fields["callback_events"] = ( + List[List[CallbackEvent]], Field( ..., description=( - "Metadata about the response that may be useful to specific clients" + "Callback events generated by the server side." + "The outer list corresponds to the inputs and the inner " + "list corresponds to the callbacks generated for that input." ), ), - ), + ) + + batch_response_type = create_model( + f"{namespace}BatchResponse", __base__=BatchBaseResponse, + **fields, ) batch_response_type.update_forward_refs() return batch_response_type From 04b9c950282094ffdeb98982238d7cf8d75ae5b4 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 28 Mar 2024 16:08:09 -0400 Subject: [PATCH 07/37] Scoped Feedback: Plumb through scoped feedback (#568) After this PR most of the scaffolding code is in place to support scoped feedback. After this PR the remaining work to be done: 1. Expose configuration in APIHandler / add_routes 2. Determine how to support with the existing feedback endpoint (or change to a new endpoint) 3. Surface in RemoteRunnable --- langserve/api_handler.py | 196 ++- langserve/schema.py | 41 +- langserve/validation.py | 4 +- poetry.lock | 1838 +++++++++++----------- tests/unit_tests/test_server_client.py | 177 ++- tests/unit_tests/test_streaming_utils.py | 29 + 6 files changed, 1306 insertions(+), 979 deletions(-) create mode 100644 tests/unit_tests/test_streaming_utils.py diff --git a/langserve/api_handler.py b/langserve/api_handler.py index bab598ea..8286d021 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -1,9 +1,11 @@ +import asyncio import contextlib import importlib import inspect import json import os import re +import uuid from inspect import isclass from typing import ( Any, @@ -27,9 +29,14 @@ from langchain_core.callbacks.base import AsyncCallbackHandler 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 +from langchain_core.runnables.config import ( + get_config_list, + merge_configs, + run_in_executor, +) from langchain_core.tracers import RunLogPatch from langsmith import client as ls_client +from langsmith.schemas import FeedbackIngestToken from langsmith.utils import tracing_is_enabled from starlette.requests import Request from starlette.responses import JSONResponse, Response @@ -43,9 +50,9 @@ CustomUserType, Feedback, FeedbackCreateRequest, + InvokeResponseMetadata, PublicTraceLink, PublicTraceLinkCreateRequest, - SingletonResponseMetadata, ) from langserve.serialization import WellKnownLCSerializer from langserve.validation import ( @@ -106,6 +113,29 @@ 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_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: + data["feedback_token_url"] = feedback_ingest_token.url + + if feedback_ingest_token.expires_at: + data[ + "feedback_token_expires_at" + ] = feedback_ingest_token.expires_at.isoformat() + + 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], @@ -178,6 +208,7 @@ def _update_config_with_defaults( request: Request, *, endpoint: Optional[str] = None, + run_id: Optional[uuid.UUID] = None, ) -> RunnableConfig: """Set up some baseline configuration for the underlying runnable.""" @@ -215,6 +246,9 @@ def _update_config_with_defaults( metadata=metadata, ) + if run_id: + non_overridable_default_config["run_id"] = run_id + # 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 @@ -350,23 +384,6 @@ def _with_validation_error_translation() -> Generator[None, None, None]: 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: """Return a JSONResponse with the given content. @@ -438,6 +455,11 @@ def _add_callbacks( _SEEN_NAMES = set() +def _is_scoped_feedback_enabled() -> bool: + """Temporary hard-coded as False. Used only to enable during unit tests.""" + return False + + # PUBLIC API @@ -562,6 +584,8 @@ def __init__( self._enable_public_trace_link_endpoint = enable_public_trace_link_endpoint self._names_in_stream_allow_list = stream_log_name_allow_list + # Hard-coded as False for now, until we expose via the API + self._enable_scoped_feedback = _is_scoped_feedback_enabled() # Client is patched using mock.patch, if changing the names # remember to make relevant updates in the unit tests. self._langsmith_client = ( @@ -666,6 +690,7 @@ async def _get_config_and_input( *, endpoint: Optional[str] = None, server_config: Optional[RunnableConfig] = None, + run_id: Optional[uuid.UUID] = None, ) -> Tuple[RunnableConfig, Any]: """Extract the config and input from the request, validating the request.""" try: @@ -690,6 +715,7 @@ async def _get_config_and_input( user_provided_config, request, endpoint=endpoint, + run_id=run_id, ) # Unpack the input dynamically using the input schema of the runnable. # This takes into account changes in the input type when @@ -719,16 +745,36 @@ async def invoke( """ # We do not use the InvokeRequest model here since configurable runnables # have dynamic schema -- so the validation below is a bit more involved. + run_id = uuid.uuid4() config, input_ = await self._get_config_and_input( request, config_hash, endpoint="invoke", server_config=server_config, + run_id=run_id, ) event_aggregator = AsyncEventAggregatorCallback() _add_callbacks(config, [event_aggregator]) - output = await self._runnable.ainvoke(input_, config=config) + + invoke_coro = self._runnable.ainvoke( + input_, + config=config, + ) + + # If there's feedback enabled, let's create a presigned feedback token + if self._enable_scoped_feedback: + feedback_coro = run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + "score", + ) + + output, feedback_token = await asyncio.gather(invoke_coro, feedback_coro) + else: + output = await invoke_coro + feedback_token = None if self._include_callback_events: callback_events = [ @@ -744,8 +790,14 @@ async def invoke( # Callbacks are scrubbed and exceptions are converted to # serializable format before returned in the response. callback_events=callback_events, - metadata=SingletonResponseMetadata( - run_id=_get_base_run_id_as_str(event_aggregator) + metadata=InvokeResponseMetadata( + run_id=run_id, + feedback_token_url=feedback_token.url if feedback_token else None, + feedback_token_expires_at=( + feedback_token.expires_at.isoformat() + if feedback_token + else None + ), ), ), ) @@ -831,17 +883,36 @@ async def batch( # Update the configuration with callbacks aggregators = [AsyncEventAggregatorCallback() for _ in range(len(inputs))] + run_ids = [uuid.uuid4() for _ in range(len(inputs))] final_configs = [] - for config_, aggregator in zip(configs_, aggregators): + for run_id, config_, aggregator in zip(run_ids, configs_, aggregators): _add_callbacks(config_, [aggregator]) final_configs.append( _update_config_with_defaults( - self._run_name, config_, request, endpoint="batch" + self._run_name, config_, request, endpoint="batch", run_id=run_id ) ) - output = await self._runnable.abatch(inputs, config=final_configs) + batch_coro = self._runnable.abatch(inputs, config=final_configs) + + # If there's feedback enabled, let's create a presigned feedback token + if self._enable_scoped_feedback: + feedback_coros = [ + run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + "score", + ) + for run_id in run_ids + ] + response = await asyncio.gather(batch_coro, *feedback_coros) + output = response[0] + feedback_tokens = response[1:] + else: + output = await batch_coro + feedback_tokens = [] if self._include_callback_events: callback_events = [ @@ -856,13 +927,27 @@ async def batch( else: callback_events = [] + if feedback_tokens: + metadatas = [ + InvokeResponseMetadata( + run_id=run_id, + feedback_token_url=feedback_token.url, + feedback_token_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) for run_id in run_ids] + obj = self._BatchResponse( output=self._serializer.dumpd(output), callback_events=callback_events, metadata=BatchResponseMetadata( - run_ids=[_get_base_run_id_as_str(agg) for agg in aggregators] + run_ids=run_ids, + responses=metadatas, ), ) + return _json_encode_response(obj) async def stream( @@ -925,12 +1010,14 @@ async def stream( """ err_event = {} validation_exception: Optional[BaseException] = None + run_id = uuid.uuid4() try: config, input_ = await self._get_config_and_input( request, config_hash, endpoint="stream", server_config=server_config, + run_id=run_id, ) except BaseException as e: validation_exception = e @@ -951,6 +1038,18 @@ async def stream( ), } + if self._enable_scoped_feedback: + # Create task to create a presigned feedback token + feedback_coro = run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + "score", + ) + task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) + else: + task = None + async def _stream() -> AsyncIterator[dict]: """Stream the output of the runnable.""" if validation_exception: @@ -971,16 +1070,17 @@ async def _stream() -> AsyncIterator[dict]: input_, config=config_w_callbacks, ): - 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), - } - ), - } + # 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() + has_sent_metadata = True + yield _create_metadata_event(run_id, feedback_token) yield { # EventSourceResponse expects a string for data @@ -1133,12 +1233,14 @@ async def astream_events( """Stream events from the runnable.""" err_event = {} validation_exception: Optional[BaseException] = None + run_id = uuid.uuid4() try: config, input_ = await self._get_config_and_input( request, config_hash, endpoint="stream_events", server_config=server_config, + run_id=run_id, ) except BaseException as e: validation_exception = e @@ -1179,6 +1281,18 @@ async def astream_events( "data": json.dumps({"status_code": 422, "message": repr(e.errors())}), } + if self._enable_scoped_feedback: + # Create task to create a presigned feedback token + feedback_coro = run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + "score", + ) + task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) + else: + task = None + async def _stream_events() -> AsyncIterator[dict]: """Stream the output of the runnable.""" if not hasattr(self._runnable, "astream_events"): @@ -1195,6 +1309,8 @@ async def _stream_events() -> AsyncIterator[dict]: "Internal server error" ) from validation_exception + has_sent_metadata = False + try: async for event in self._runnable.astream_events( input_, @@ -1221,6 +1337,16 @@ async def _stream_events() -> AsyncIterator[dict]: "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._enable_feedback_endpoint: + 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_token) + has_sent_metadata = True yield {"event": "end"} except BaseException: yield { diff --git a/langserve/schema.py b/langserve/schema.py index ba9b085c..c1edb1ba 100644 --- a/langserve/schema.py +++ b/langserve/schema.py @@ -41,14 +41,21 @@ class SharedResponseMetadata(BaseModelV1): pass -class SingletonResponseMetadata(SharedResponseMetadata): - """ - Represents response metadata used for just single input/output LangServe +class InvokeResponseMetadata(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_token_url: Optional[str] = None + feedback_token_expires_at: Optional[datetime] = None + + +# 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): @@ -57,9 +64,19 @@ 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] + run_ids: List[UUID] # For backwards compatibility, clients should not use this class BaseFeedback(BaseModel): @@ -67,7 +84,7 @@ class BaseFeedback(BaseModel): Shared information between create requests of feedback and feedback objects """ - run_id: UUID + run_id: Optional[UUID] """The associated run ID this feedback is logged for.""" key: str @@ -84,17 +101,11 @@ class BaseFeedback(BaseModel): class FeedbackCreateRequest(BaseFeedback): - """ - Represents a request that creates feedback for an individual run - """ - - pass + """Represents a request that creates feedback for an individual run""" 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.""" @@ -110,9 +121,7 @@ class Feedback(BaseFeedback): class PublicTraceLinkCreateRequest(BaseModel): - """ - Represents a request that creates a public trace for an individual run - """ + """Represents a request that creates a public trace for an individual run.""" run_id: UUID """The unique ID of the run to share.""" diff --git a/langserve/validation.py b/langserve/validation.py index 438c8825..dacba609 100644 --- a/langserve/validation.py +++ b/langserve/validation.py @@ -24,7 +24,7 @@ from langchain_core.outputs import ChatGeneration, Generation, RunInfo from typing_extensions import Type -from langserve.schema import BatchResponseMetadata, 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[package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] all = ["fastapi", "httpx-sse", "sse-starlette"] diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index e5acb0d5..08f16991 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2,6 +2,7 @@ import asyncio import datetime import json +import uuid from asyncio import AbstractEventLoop from contextlib import asynccontextmanager, contextmanager from dataclasses import dataclass @@ -9,6 +10,7 @@ from itertools import cycle from typing import ( Any, + AsyncIterator, Dict, Iterable, Iterator, @@ -54,6 +56,8 @@ from langchain_core.runnables.utils import Input, Output from langchain_core.tracers import RunLog, RunLogPatch from langsmith import schemas as ls_schemas +from langsmith.client import Client +from langsmith.schemas import FeedbackIngestToken from pytest import MonkeyPatch from pytest_mock import MockerFixture from typing_extensions import Annotated, TypedDict @@ -2602,6 +2606,12 @@ async def test_astream_events_with_prompt_model_parser_chain( "name": "GenericFakeChatModel", "tags": ["seq:step:2"], }, + { + "data": {"chunk": AIMessageChunk(content="Hello")}, + "event": "on_chat_model_stream", + "name": "GenericFakeChatModel", + "tags": ["seq:step:2"], + }, { "data": {}, "event": "on_parser_start", @@ -2621,7 +2631,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content="Hello")}, + "data": {"chunk": AIMessageChunk(content=" ")}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2639,7 +2649,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content=" ")}, + "data": {"chunk": AIMessageChunk(content="World!")}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2656,12 +2666,6 @@ async def test_astream_events_with_prompt_model_parser_chain( "name": "RunnableSequence", "tags": [], }, - { - "data": {"chunk": AIMessageChunk(content="World!")}, - "event": "on_chat_model_stream", - "name": "GenericFakeChatModel", - "tags": ["seq:step:2"], - }, { "data": { "input": { @@ -2835,3 +2839,160 @@ def get_by_session_id(session_id: str) -> BaseChatMessageHistory: messages=[HumanMessage(content="hi"), AIMessage(content="Hello World!")] ) } + + +@asynccontextmanager +async def get_langsmith_client() -> AsyncIterator[MagicMock]: + """Get a patched langsmith client.""" + with patch("langserve.api_handler.ls_client") as mocked_ls_client_package: + with patch("langserve.api_handler._is_scoped_feedback_enabled") as f: + # Enable scoped feedback for now. + f.return_value = True + with patch( + "langserve.api_handler.tracing_is_enabled" + ) as tracing_is_enabled: + tracing_is_enabled.return_value = True + mocked_client = MagicMock(auto_spec=Client) + mocked_ls_client_package.Client.return_value = mocked_client + yield mocked_client + + +async def test_scoped_feedback() -> None: + """Test that information to leave scoped feedback is passed to the client + is present in the server response. + """ + feedback_id = uuid.UUID(int=1) + async with get_langsmith_client() as mocked_client: + mocked_client.create_presigned_feedback_token.return_value = ( + FeedbackIngestToken( + id=feedback_id, + url="feedback_id", + expires_at=datetime.datetime(2023, 1, 1), + ) + ) + + local_app = FastAPI() + add_routes( + local_app, + RunnableLambda(lambda foo: "hello"), + enable_feedback_endpoint=True, + ) + + async with get_async_test_client( + local_app, raise_app_exceptions=True + ) as async_client: + response = await async_client.post( + "/invoke", + json={"input": "hello"}, + ) + + json_response = response.json() + run_id = json_response["metadata"]["run_id"] + assert json_response == { + "metadata": { + "feedback_token_expires_at": "2023-01-01T00:00:00", + "feedback_token_url": "feedback_id", + "run_id": run_id, + }, + "output": "hello", + } + + response = await async_client.post( + "/batch", + json={ + "inputs": ["hello", "world"], + }, + ) + json_response = response.json() + responses = json_response["metadata"]["responses"] + run_ids = [response["run_id"] for response in responses] + assert run_ids == json_response["metadata"]["run_ids"] + + for r in responses: + del r["run_id"] + + assert json_response == { + "metadata": { + "responses": [ + { + "feedback_token_expires_at": "2023-01-01T00:00:00", + "feedback_token_url": "feedback_id", + }, + { + "feedback_token_expires_at": "2023-01-01T00:00:00", + "feedback_token_url": "feedback_id", + }, + ], + "run_ids": run_ids, + }, + "output": ["hello", "hello"], + } + + # Test stream + response = await async_client.post( + "/stream", + json={"input": "hello"}, + ) + events = _decode_eventstream(response.text) + del events[0]["data"]["run_id"] + assert events == [ + { + "data": { + "feedback_token_expires_at": "2023-01-01T00:00:00", + "feedback_token_url": "feedback_id", + }, + "type": "metadata", + }, + {"data": "hello", "type": "data"}, + {"type": "end"}, + ] + + # Test astream events + response = await async_client.post( + "/stream_events", + json={"input": "hello"}, + ) + events = _decode_eventstream(response.text) + for event in events: + if "data" in event and "run_id" in event["data"]: + del event["data"]["run_id"] + assert events == [ + { + "data": { + "data": {"input": "hello"}, + "event": "on_chain_start", + "metadata": {}, + "name": "RunnableLambda", + "tags": [], + }, + "type": "data", + }, + { + "data": { + "feedback_token_expires_at": "2023-01-01T00:00:00", + "feedback_token_url": "feedback_id", + }, + "type": "metadata", + }, + { + "data": { + "data": {"chunk": "hello"}, + "event": "on_chain_stream", + "metadata": {}, + "name": "RunnableLambda", + "tags": [], + }, + "type": "data", + }, + { + "data": { + "data": {"output": "hello"}, + "event": "on_chain_end", + "metadata": {}, + "name": "RunnableLambda", + "tags": [], + }, + "type": "data", + }, + {"type": "end"}, + ] diff --git a/tests/unit_tests/test_streaming_utils.py b/tests/unit_tests/test_streaming_utils.py new file mode 100644 index 00000000..41307b71 --- /dev/null +++ b/tests/unit_tests/test_streaming_utils.py @@ -0,0 +1,29 @@ +"""Test utilities for streaming.""" +import datetime +import uuid + +from langsmith.schemas import FeedbackIngestToken + +from langserve.api_handler import _create_metadata_event + + +def test_create_metadata_event() -> None: + """Test that the metadata event is created correctly.""" + run_id = uuid.UUID(int=7) + event = _create_metadata_event(run_id, feedback_ingest_token=None) + assert event == { + "data": '{"run_id": "00000000-0000-0000-0000-000000000007"}', + "event": "metadata", + } + + # Test with feedback ingest token + feedback_ingest_token = FeedbackIngestToken( + id=uuid.UUID(int=8), expires_at=datetime.datetime(2022, 1, 1), url="ingest-url" + ) + event = _create_metadata_event(run_id, feedback_ingest_token=feedback_ingest_token) + assert event == { + "data": '{"run_id": "00000000-0000-0000-0000-000000000007", ' + '"feedback_token_url": "ingest-url", "feedback_token_expires_at": ' + '"2022-01-01T00:00:00"}', + "event": "metadata", + } From 5d7e119725ac59e57ae4deabe50f9dc39e14156c Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 29 Mar 2024 14:47:18 -0400 Subject: [PATCH 08/37] langserve: Create token feedback endpoint, update schema for feedback (#570) * Create an endpoint to accept token based feedback * Update the format of returned feedback (since it's scoped by key) --- langserve/api_handler.py | 97 +++++++++++++++++++----- langserve/schema.py | 45 +++++++++-- tests/unit_tests/test_server_client.py | 45 ++++++++--- tests/unit_tests/test_streaming_utils.py | 19 ++++- 4 files changed, 168 insertions(+), 38 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 8286d021..23ac3874 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -50,6 +50,8 @@ CustomUserType, Feedback, FeedbackCreateRequest, + FeedbackCreateRequestTokenBased, + FeedbackToken, InvokeResponseMetadata, PublicTraceLink, PublicTraceLinkCreateRequest, @@ -115,6 +117,7 @@ def _strip_internal_keys(metadata: Dict[str, Any]) -> Dict[str, Any]: 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.""" @@ -122,12 +125,21 @@ def _create_metadata_event( "run_id": str(run_id) if run_id else None, } if feedback_ingest_token: - data["feedback_token_url"] = feedback_ingest_token.url + if not feedback_key: + raise ValueError("Feedback key must be provided if feedback token is given") if feedback_ingest_token.expires_at: - data[ - "feedback_token_expires_at" - ] = feedback_ingest_token.expires_at.isoformat() + 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", @@ -460,6 +472,9 @@ def _is_scoped_feedback_enabled() -> bool: return False +# Temporary default key for feedback +_FEEDBACK_KEY = "correctness" + # PUBLIC API @@ -768,7 +783,7 @@ async def invoke( None, self._langsmith_client.create_presigned_feedback_token, run_id, - "score", + _FEEDBACK_KEY, ) output, feedback_token = await asyncio.gather(invoke_coro, feedback_coro) @@ -792,12 +807,15 @@ async def invoke( callback_events=callback_events, metadata=InvokeResponseMetadata( run_id=run_id, - feedback_token_url=feedback_token.url if feedback_token else None, - feedback_token_expires_at=( - feedback_token.expires_at.isoformat() - if feedback_token - else None - ), + feedback_tokens=[ + FeedbackToken( + key=_FEEDBACK_KEY, + url=feedback_token.url, + expires_at=feedback_token.expires_at.isoformat(), + ) + ] + if feedback_token + else [], ), ), ) @@ -903,7 +921,7 @@ async def batch( None, self._langsmith_client.create_presigned_feedback_token, run_id, - "score", + _FEEDBACK_KEY, ) for run_id in run_ids ] @@ -931,13 +949,21 @@ async def batch( metadatas = [ InvokeResponseMetadata( run_id=run_id, - feedback_token_url=feedback_token.url, - feedback_token_expires_at=(feedback_token.expires_at.isoformat()), + feedback_tokens=[ + FeedbackToken( + key=_FEEDBACK_KEY, + 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) for run_id in run_ids] + metadatas = [ + InvokeResponseMetadata(run_id=run_id, feedback_tokens=[]) + for run_id in run_ids + ] obj = self._BatchResponse( output=self._serializer.dumpd(output), @@ -1044,7 +1070,7 @@ async def stream( None, self._langsmith_client.create_presigned_feedback_token, run_id, - "score", + _FEEDBACK_KEY, ) task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) else: @@ -1080,7 +1106,9 @@ async def _stream() -> AsyncIterator[dict]: feedback_token = task.result() has_sent_metadata = True - yield _create_metadata_event(run_id, feedback_token) + yield _create_metadata_event( + run_id, _FEEDBACK_KEY, feedback_token + ) yield { # EventSourceResponse expects a string for data @@ -1287,7 +1315,7 @@ async def astream_events( None, self._langsmith_client.create_presigned_feedback_token, run_id, - "score", + _FEEDBACK_KEY, ) task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) else: @@ -1345,7 +1373,9 @@ async def _stream_events() -> AsyncIterator[dict]: if not task.done(): continue feedback_token = task.result() - yield _create_metadata_event(run_id, feedback_token) + yield _create_metadata_event( + run_id, _FEEDBACK_KEY, feedback_token + ) has_sent_metadata = True yield {"event": "end"} except BaseException: @@ -1544,6 +1574,35 @@ async def create_feedback( 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._enable_feedback_endpoint: + raise HTTPException( + 400, + "The feedback endpoint is only accessible when LangSmith is " + + "enabled on your LangServe server.\n" + + "Please set `enable_feedback_endpoint=True` on your route and " + + "set the proper environment variables", + ) + + 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, + metadata=metadata, + ) + async def _check_feedback_enabled(self) -> None: """Check if feedback is enabled for the runnable. diff --git a/langserve/schema.py b/langserve/schema.py index c1edb1ba..6f729b7c 100644 --- a/langserve/schema.py +++ b/langserve/schema.py @@ -5,6 +5,7 @@ from pydantic import BaseModel # Floats between v1 and v2 from langserve.pydantic_v1 import BaseModel as BaseModelV1 +from langserve.pydantic_v1 import Field class CustomUserType(BaseModelV1): @@ -41,6 +42,14 @@ 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 responses. @@ -48,8 +57,14 @@ class InvokeResponseMetadata(SharedResponseMetadata): # Represents the parent run id for a given request run_id: UUID - feedback_token_url: Optional[str] = None - feedback_token_expires_at: Optional[datetime] = None + 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 @@ -80,9 +95,7 @@ class BatchResponseMetadata(SharedResponseMetadata): 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] """The associated run ID this feedback is logged for.""" @@ -100,6 +113,28 @@ 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: UUID + """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""" diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index 08f16991..a746f35c 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2890,8 +2890,13 @@ async def test_scoped_feedback() -> None: run_id = json_response["metadata"]["run_id"] assert json_response == { "metadata": { - "feedback_token_expires_at": "2023-01-01T00:00:00", - "feedback_token_url": "feedback_id", + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "correctness", + "token_url": None, + } + ], "run_id": run_id, }, "output": "hello", @@ -2915,12 +2920,22 @@ async def test_scoped_feedback() -> None: "metadata": { "responses": [ { - "feedback_token_expires_at": "2023-01-01T00:00:00", - "feedback_token_url": "feedback_id", + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "correctness", + "token_url": None, + } + ] }, { - "feedback_token_expires_at": "2023-01-01T00:00:00", - "feedback_token_url": "feedback_id", + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "correctness", + "token_url": None, + } + ] }, ], "run_ids": run_ids, @@ -2938,8 +2953,13 @@ async def test_scoped_feedback() -> None: assert events == [ { "data": { - "feedback_token_expires_at": "2023-01-01T00:00:00", - "feedback_token_url": "feedback_id", + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "correctness", + "token_url": "feedback_id", + } + ] }, "type": "metadata", }, @@ -2969,8 +2989,13 @@ async def test_scoped_feedback() -> None: }, { "data": { - "feedback_token_expires_at": "2023-01-01T00:00:00", - "feedback_token_url": "feedback_id", + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "correctness", + "token_url": "feedback_id", + } + ] }, "type": "metadata", }, diff --git a/tests/unit_tests/test_streaming_utils.py b/tests/unit_tests/test_streaming_utils.py index 41307b71..4fcf723c 100644 --- a/tests/unit_tests/test_streaming_utils.py +++ b/tests/unit_tests/test_streaming_utils.py @@ -1,5 +1,6 @@ """Test utilities for streaming.""" import datetime +import json import uuid from langsmith.schemas import FeedbackIngestToken @@ -20,10 +21,20 @@ def test_create_metadata_event() -> None: feedback_ingest_token = FeedbackIngestToken( id=uuid.UUID(int=8), expires_at=datetime.datetime(2022, 1, 1), url="ingest-url" ) - event = _create_metadata_event(run_id, feedback_ingest_token=feedback_ingest_token) + event = _create_metadata_event( + run_id, feedback_ingest_token=feedback_ingest_token, feedback_key="key" + ) + data = json.loads(event.pop("data")) assert event == { - "data": '{"run_id": "00000000-0000-0000-0000-000000000007", ' - '"feedback_token_url": "ingest-url", "feedback_token_expires_at": ' - '"2022-01-01T00:00:00"}', "event": "metadata", } + assert data == { + "feedback_tokens": [ + { + "expires_at": "2022-01-01T00:00:00", + "key": "key", + "token_url": "ingest-url", + } + ], + "run_id": "00000000-0000-0000-0000-000000000007", + } From e554f6c32be203fe16fe9f0a09f29e782e6158c3 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 29 Mar 2024 15:37:06 -0400 Subject: [PATCH 09/37] Expose Feedback Tokens as part of add_routes and APIHandler (#571) This PR exposes the ability to configure feedback tokens for the APIHandler and add_routes --- langserve/api_handler.py | 99 ++++++++++++++++++++------ langserve/server.py | 30 +++++++- tests/unit_tests/test_server_client.py | 17 +++-- 3 files changed, 119 insertions(+), 27 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 23ac3874..afe827da 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -14,6 +14,7 @@ Callable, Dict, Generator, + List, Literal, Mapping, Optional, @@ -26,6 +27,7 @@ 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.load.serializable import Serializable from langchain_core.runnables import Runnable, RunnableConfig @@ -40,6 +42,7 @@ from langsmith.utils import tracing_is_enabled from starlette.requests import Request from starlette.responses import JSONResponse, Response +from typing_extensions import TypedDict from langserve.callbacks import AsyncEventAggregatorCallback, CallbackEventDict from langserve.lzstring import LZString @@ -472,10 +475,23 @@ def _is_scoped_feedback_enabled() -> bool: return False -# Temporary default key for feedback -_FEEDBACK_KEY = "correctness" +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: @@ -501,6 +517,10 @@ def __init__( 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, @@ -543,6 +563,11 @@ def __init__( 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 @@ -599,8 +624,21 @@ def __init__( self._enable_public_trace_link_endpoint = enable_public_trace_link_endpoint self._names_in_stream_allow_list = stream_log_name_allow_list - # Hard-coded as False for now, until we expose via the API - self._enable_scoped_feedback = _is_scoped_feedback_enabled() + 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 = ( @@ -777,17 +815,21 @@ async def invoke( config=config, ) + feedback_key: Optional[str] + # If there's feedback enabled, let's create a presigned feedback token - if self._enable_scoped_feedback: + 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, + feedback_key, ) output, feedback_token = await asyncio.gather(invoke_coro, feedback_coro) else: + feedback_key = None output = await invoke_coro feedback_token = None @@ -809,7 +851,7 @@ async def invoke( run_id=run_id, feedback_tokens=[ FeedbackToken( - key=_FEEDBACK_KEY, + key=feedback_key, url=feedback_token.url, expires_at=feedback_token.expires_at.isoformat(), ) @@ -914,14 +956,17 @@ async def batch( batch_coro = self._runnable.abatch(inputs, config=final_configs) + feedback_key: Optional[str] = None + # If there's feedback enabled, let's create a presigned feedback token - if self._enable_scoped_feedback: + 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, + feedback_key, ) for run_id in run_ids ] @@ -929,6 +974,7 @@ async def batch( output = response[0] feedback_tokens = response[1:] else: + feedback_key = None output = await batch_coro feedback_tokens = [] @@ -951,7 +997,7 @@ async def batch( run_id=run_id, feedback_tokens=[ FeedbackToken( - key=_FEEDBACK_KEY, + key=feedback_key, url=feedback_token.url, expires_at=feedback_token.expires_at.isoformat(), ) @@ -1064,16 +1110,20 @@ async def stream( ), } - if self._enable_scoped_feedback: + 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, + feedback_key, ) task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) else: + feedback_key = None task = None async def _stream() -> AsyncIterator[dict]: @@ -1107,7 +1157,7 @@ async def _stream() -> AsyncIterator[dict]: has_sent_metadata = True yield _create_metadata_event( - run_id, _FEEDBACK_KEY, feedback_token + run_id, feedback_key, feedback_token ) yield { @@ -1309,16 +1359,20 @@ async def astream_events( "data": json.dumps({"status_code": 422, "message": repr(e.errors())}), } - if self._enable_scoped_feedback: + 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, + feedback_key, ) task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) else: + feedback_key = None task = None async def _stream_events() -> AsyncIterator[dict]: @@ -1374,7 +1428,7 @@ async def _stream_events() -> AsyncIterator[dict]: continue feedback_token = task.result() yield _create_metadata_event( - run_id, _FEEDBACK_KEY, feedback_token + run_id, feedback_key, feedback_token ) has_sent_metadata = True yield {"event": "end"} @@ -1579,13 +1633,16 @@ async def create_feedback_from_token( ) -> None: """Send feedback on an individual run to langsmith.""" - if not tracing_is_enabled() or not self._enable_feedback_endpoint: + 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 `enable_feedback_endpoint=True` on your route and " - + "set the proper environment variables", + ( + "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 {} diff --git a/langserve/server.py b/langserve/server.py index e5b40125..1c13baa3 100644 --- a/langserve/server.py +++ b/langserve/server.py @@ -18,7 +18,12 @@ from langchain_core.runnables import Runnable from typing_extensions import Annotated -from langserve.api_handler import APIHandler, PerRequestConfigModifier, _is_hosted +from langserve.api_handler import ( + APIHandler, + PerRequestConfigModifier, + TokenFeedbackConfig, + _is_hosted, +) from langserve.pydantic_v1 import ( _PYDANTIC_MAJOR_VERSION, PYDANTIC_VERSION, @@ -74,6 +79,7 @@ "stream_events", "playground", "feedback", + "token_feedback", "public_trace_link", "input_schema", "config_schema", @@ -125,6 +131,7 @@ def __init__( 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: @@ -142,6 +149,7 @@ def __init__( 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: @@ -158,6 +166,7 @@ def __init__( 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 @@ -171,6 +180,7 @@ def __init__( 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( @@ -256,6 +266,7 @@ 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, @@ -310,6 +321,16 @@ def add_routes( 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 @@ -419,6 +440,7 @@ 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, @@ -715,6 +737,12 @@ async def config_schema_with_config( 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", diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index a746f35c..81adf80a 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2876,6 +2876,13 @@ async def test_scoped_feedback() -> None: local_app, RunnableLambda(lambda foo: "hello"), enable_feedback_endpoint=True, + token_feedback_config={ + "key_configs": [ + { + "key": "foo", + } + ] + }, ) async with get_async_test_client( @@ -2893,7 +2900,7 @@ async def test_scoped_feedback() -> None: "feedback_tokens": [ { "expires_at": "2023-01-01T00:00:00", - "key": "correctness", + "key": "foo", "token_url": None, } ], @@ -2923,7 +2930,7 @@ async def test_scoped_feedback() -> None: "feedback_tokens": [ { "expires_at": "2023-01-01T00:00:00", - "key": "correctness", + "key": "foo", "token_url": None, } ] @@ -2932,7 +2939,7 @@ async def test_scoped_feedback() -> None: "feedback_tokens": [ { "expires_at": "2023-01-01T00:00:00", - "key": "correctness", + "key": "foo", "token_url": None, } ] @@ -2956,7 +2963,7 @@ async def test_scoped_feedback() -> None: "feedback_tokens": [ { "expires_at": "2023-01-01T00:00:00", - "key": "correctness", + "key": "foo", "token_url": "feedback_id", } ] @@ -2992,7 +2999,7 @@ async def test_scoped_feedback() -> None: "feedback_tokens": [ { "expires_at": "2023-01-01T00:00:00", - "key": "correctness", + "key": "foo", "token_url": "feedback_id", } ] From daa312c0712dbec4525011df6e8ddde5e4b6c42a Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 29 Mar 2024 17:10:12 -0400 Subject: [PATCH 10/37] Allow accepting run ids by the server (#576) This PR allows to turn on a configuration that makes the server accept client provided run ids. The server needs to be started with `add_routes(..., config_keys=['run_id'])` And a client will then be able to make a request with `config={"run_id": uuid4}` --- langserve/api_handler.py | 45 +++++----- tests/unit_tests/test_server_client.py | 115 +++++++++++++++---------- 2 files changed, 96 insertions(+), 64 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index afe827da..4be0776e 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -223,7 +223,6 @@ def _update_config_with_defaults( request: Request, *, endpoint: Optional[str] = None, - run_id: Optional[uuid.UUID] = None, ) -> RunnableConfig: """Set up some baseline configuration for the underlying runnable.""" @@ -261,18 +260,22 @@ def _update_config_with_defaults( metadata=metadata, ) - if run_id: - non_overridable_default_config["run_id"] = run_id - # 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 - return merge_configs( + config = 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.""" @@ -363,7 +366,11 @@ 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.update_forward_refs() + if "run_id" in model_with_unique_name.__annotations__: + # Help resolve reference by providing namespace references + model_with_unique_name.update_forward_refs(uuid=uuid) + else: + model_with_unique_name.update_forward_refs() return model_with_unique_name @@ -743,7 +750,6 @@ async def _get_config_and_input( *, endpoint: Optional[str] = None, server_config: Optional[RunnableConfig] = None, - run_id: Optional[uuid.UUID] = None, ) -> Tuple[RunnableConfig, Any]: """Extract the config and input from the request, validating the request.""" try: @@ -768,7 +774,6 @@ async def _get_config_and_input( user_provided_config, request, endpoint=endpoint, - run_id=run_id, ) # Unpack the input dynamically using the input schema of the runnable. # This takes into account changes in the input type when @@ -798,14 +803,13 @@ async def invoke( """ # We do not use the InvokeRequest model here since configurable runnables # have dynamic schema -- so the validation below is a bit more involved. - run_id = uuid.uuid4() config, input_ = await self._get_config_and_input( request, config_hash, endpoint="invoke", server_config=server_config, - run_id=run_id, ) + run_id = config["run_id"] event_aggregator = AsyncEventAggregatorCallback() _add_callbacks(config, [event_aggregator]) @@ -943,20 +947,21 @@ async def batch( # Update the configuration with callbacks aggregators = [AsyncEventAggregatorCallback() for _ in range(len(inputs))] - run_ids = [uuid.uuid4() for _ in range(len(inputs))] final_configs = [] - for run_id, config_, aggregator in zip(run_ids, configs_, aggregators): + for config_, aggregator in zip(configs_, aggregators): _add_callbacks(config_, [aggregator]) final_configs.append( _update_config_with_defaults( - self._run_name, config_, request, endpoint="batch", run_id=run_id + self._run_name, config_, request, endpoint="batch" ) ) + run_ids = [config["run_id"] for config in final_configs] + batch_coro = self._runnable.abatch(inputs, config=final_configs) - feedback_key: Optional[str] = None + feedback_key: Optional[str] # If there's feedback enabled, let's create a presigned feedback token if self._token_feedback_enabled: @@ -1082,15 +1087,15 @@ async def stream( """ err_event = {} validation_exception: Optional[BaseException] = None - run_id = uuid.uuid4() + run_id = None try: config, input_ = await self._get_config_and_input( request, config_hash, endpoint="stream", server_config=server_config, - run_id=run_id, ) + run_id = config["run_id"] except BaseException as e: validation_exception = e if isinstance(e, RequestValidationError): @@ -1110,7 +1115,7 @@ async def stream( ), } - if self._token_feedback_enabled: + if self._token_feedback_enabled and not validation_exception: # Create task to create a presigned feedback token feedback_key: Optional[str] = self._token_feedback_config["key_configs"][0][ "key" @@ -1311,15 +1316,15 @@ async def astream_events( """Stream events from the runnable.""" err_event = {} validation_exception: Optional[BaseException] = None - run_id = uuid.uuid4() + run_id = None try: config, input_ = await self._get_config_and_input( request, config_hash, endpoint="stream_events", server_config=server_config, - run_id=run_id, ) + run_id = config["run_id"] except BaseException as e: validation_exception = e if isinstance(e, RequestValidationError): @@ -1361,7 +1366,7 @@ async def astream_events( feedback_key: Optional[str] - if self._token_feedback_enabled: + if self._token_feedback_enabled and not validation_exception: # Create task to create a presigned feedback token feedback_key: str = self._token_feedback_config["key_configs"][0]["key"] feedback_coro = run_in_executor( diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index 81adf80a..feb8f464 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2983,48 +2983,75 @@ async def test_scoped_feedback() -> None: for event in events: if "data" in event and "run_id" in event["data"]: del event["data"]["run_id"] - assert events == [ - { - "data": { - "data": {"input": "hello"}, - "event": "on_chain_start", - "metadata": {}, - "name": "RunnableLambda", - "tags": [], - }, - "type": "data", - }, - { - "data": { - "feedback_tokens": [ - { - "expires_at": "2023-01-01T00:00:00", - "key": "foo", - "token_url": "feedback_id", - } - ] - }, - "type": "metadata", - }, - { - "data": { - "data": {"chunk": "hello"}, - "event": "on_chain_stream", - "metadata": {}, - "name": "RunnableLambda", - "tags": [], - }, - "type": "data", - }, - { - "data": { - "data": {"output": "hello"}, - "event": "on_chain_end", - "metadata": {}, - "name": "RunnableLambda", - "tags": [], - }, - "type": "data", + + # Find the metadata event and pull it out + metadata_event = None + for event in events: + if event["type"] == "metadata": + metadata_event = event + + assert metadata_event == { + "data": { + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "token_url": "feedback_id", + } + ] }, - {"type": "end"}, - ] + "type": "metadata", + } + + +async def test_passing_run_id_from_client() -> None: + """test that the client can set a run id if server allows it.""" + local_app = FastAPI() + add_routes( + local_app, + RunnableLambda(lambda foo: "hello"), + config_keys=["run_id"], + ) + + run_id = uuid.UUID(int=9) + run_id2 = uuid.UUID(int=14) + + async with get_async_test_client( + local_app, raise_app_exceptions=True + ) as async_client: + response = await async_client.post( + "/invoke", + json={"input": "hello", "config": {"run_id": str(run_id)}}, + ) + response.raise_for_status() + json_response = response.json() + assert json_response["metadata"]["run_id"] == str(run_id) + + ## Test batch + response = await async_client.post( + "/batch", + json={ + "inputs": ["hello", "world"], + "config": [{"run_id": str(run_id)}, {"run_id": str(run_id2)}], + }, + ) + json_response = response.json() + responses = json_response["metadata"]["responses"] + run_ids = [response["run_id"] for response in responses] + assert run_ids == [str(run_id), str(run_id2)] + + # Test stream + response = await async_client.post( + "/stream", + json={"input": "hello", "config": {"run_id": str(run_id)}}, + ) + events = _decode_eventstream(response.text) + assert events[0]["data"]["run_id"] == str(run_id) + + # Test stream events + response = await async_client.post( + "/stream_events", + json={"input": "hello", "config": {"run_id": str(run_id)}}, + ) + events = _decode_eventstream(response.text) + assert events[0]["data"]["run_id"] == str(run_id) From 7240d3167102a99f68fe49b1b7933c3467816ba8 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 29 Mar 2024 17:10:33 -0400 Subject: [PATCH 11/37] Tests: add token_feedback endpoint to test that verifies enabled/disabled config (#573) Add test to verify that token_feedback endpoint gets registered correctly --- tests/unit_tests/test_server_client.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index feb8f464..2a5275d4 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2129,6 +2129,7 @@ async def test_endpoint_configurations() -> None: ("GET", "/playground/index.html", {}), ("HEAD", "/feedback", {}), ("GET", "/feedback", {}), + ("POST", "/token_feedback", {}), # Check config hashes ("POST", "/c/1234/invoke", {"input": 1}), ("POST", "/c/1234/batch", {"inputs": [1, 2]}), From 00e637ad4666f078713f2141498dd04ee4b4fb7e Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Sat, 30 Mar 2024 21:21:44 -0400 Subject: [PATCH 12/37] Improve error message if user isn't passing a Runnable to add_routes (#577) After this PR a better error message will be surfaced to add_routes if a user passes something that's not a runnable. This currently occurs a lot when using the langchain cli as the lanchain cli creates an empty app with a palceholder value of NotImplemented for the runnable. --- langserve/server.py | 9 +++++++++ tests/unit_tests/test_server_client.py | 8 ++++++++ 2 files changed, 17 insertions(+) diff --git a/langserve/server.py b/langserve/server.py index 1c13baa3..22757b7d 100644 --- a/langserve/server.py +++ b/langserve/server.py @@ -392,6 +392,15 @@ def add_routes( 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, diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index 2a5275d4..b4b4cce3 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -3056,3 +3056,11 @@ async def test_passing_run_id_from_client() -> None: ) events = _decode_eventstream(response.text) assert events[0]["data"]["run_id"] == str(run_id) + + +async def test_passing_bad_runnable_to_add_routes() -> None: + """test passing a bad type.""" + with pytest.raises(TypeError) as e: + add_routes(FastAPI(), "not a runnable") + + assert e.match("Expected a Runnable, got ") From e591ccc1b5e1f76f6fc01459b60dceee3f2c52d3 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 1 Apr 2024 09:46:24 -0400 Subject: [PATCH 13/37] Add tests to check playground is served with api router configurations (#579) --- tests/unit_tests/test_api_playground.py | 105 ++++++++++++++++++++++++ tests/unit_tests/test_server_client.py | 67 --------------- 2 files changed, 105 insertions(+), 67 deletions(-) create mode 100644 tests/unit_tests/test_api_playground.py diff --git a/tests/unit_tests/test_api_playground.py b/tests/unit_tests/test_api_playground.py new file mode 100644 index 00000000..347aa63f --- /dev/null +++ b/tests/unit_tests/test_api_playground.py @@ -0,0 +1,105 @@ +"""Test the playground API.""" + +from fastapi import APIRouter, FastAPI +from httpx import AsyncClient +from langchain_core.runnables import RunnableLambda + +from langserve import add_routes + + +async def test_serve_playground() -> None: + """Test the server directly via HTTP requests.""" + app = FastAPI() + add_routes( + app, + RunnableLambda(lambda foo: "hello"), + ) + + async with AsyncClient(app=app, base_url="http://localhost:9999") as client: + response = await client.get("/playground/index.html") + assert response.status_code == 200 + # Test that we can't access files that do not exist. + response = await client.get("/playground/i_do_not_exist.txt") + assert response.status_code == 404 + # Test that we can't access files outside of the playground directory + response = await client.get("/playground//etc/passwd") + assert response.status_code == 404 + + +async def test_serve_playground_with_api_router() -> None: + """Test serving playground from an api router with a prefix.""" + app = FastAPI() + + # Make sure that we can add routers + # to an API router + router = APIRouter(prefix="/langserve_runnables") + + add_routes( + router, + RunnableLambda(lambda foo: "hello"), + path="/chat", + ) + + app.include_router(router) + + async with AsyncClient(app=app, base_url="http://localhost:9999") as client: + response = await client.get("/langserve_runnables/chat/playground/index.html") + assert response.status_code == 200 + + +async def test_serve_playground_with_api_router_in_api_router() -> None: + """Test serving playground from an api router within an api router.""" + app = FastAPI() + + router = APIRouter(prefix="/foo") + + add_routes( + router, + RunnableLambda(lambda foo: "hello"), + ) + + parent_router = APIRouter(prefix="/parent") + parent_router.include_router(router, prefix="/bar") + + # Now add parent router to the app + app.include_router(parent_router) + + async with AsyncClient(app=app, base_url="http://localhost:9999") as client: + response = await client.get("/parent/bar/foo/playground/index.html") + assert response.status_code == 200 + + +async def test_root_path_on_playground() -> None: + """Test that the playground respects the root_path for requesting assets""" + + for root_path in ("/home/root", "/home/root/"): + app = FastAPI(root_path=root_path) + add_routes( + app, + RunnableLambda(lambda foo: "hello"), + path="/chat", + ) + + router = APIRouter(prefix="/router") + add_routes( + router, + RunnableLambda(lambda foo: "hello"), + path="/chat", + ) + app.include_router(router) + + async_client = AsyncClient(app=app, base_url="http://localhost:9999") + + response = await async_client.get("/chat/playground/index.html") + assert response.status_code == 200 + assert ( + f'src="{root_path.rstrip("/")}/chat/playground/assets/' + in response.content.decode() + ), "html should contain reference to playground assets with root_path prefix" + + response = await async_client.get("/router/chat/playground/index.html") + assert response.status_code == 200 + assert ( + f'src="{root_path.rstrip("/")}/router/chat/playground/assets/' + in response.content.decode() + ), "html should contain reference to playground assets with root_path prefix" diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index b4b4cce3..be46b5fb 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -293,73 +293,6 @@ def test_server(app: FastAPI) -> None: # assert response.text == "event: data\r\ndata: 2\r\n\r\nevent: end\r\n\r\n" -def test_serve_playground(app: FastAPI) -> None: - """Test the server directly via HTTP requests.""" - sync_client = TestClient(app=app) - response = sync_client.get("/playground/index.html") - assert response.status_code == 200 - response = sync_client.get("/playground/i_do_not_exist.txt") - assert response.status_code == 404 - response = sync_client.get("/playground//etc/passwd") - assert response.status_code == 404 - - -async def test_serve_playground_with_api_router() -> None: - """Test serving playground from an api router with a prefix.""" - app = FastAPI() - - # Make sure that we can add routers - # to an API router - router = APIRouter(prefix="/langserve_runnables") - - add_routes( - router, - RunnableLambda(lambda foo: "hello"), - path="/chat", - ) - - app.include_router(router) - async_client = AsyncClient(app=app, base_url="http://localhost:9999") - response = await async_client.get("/langserve_runnables/chat/playground/index.html") - assert response.status_code == 200 - - -async def test_root_path_on_playground(event_loop: AbstractEventLoop) -> None: - """Test that the playground respects the root_path for requesting assets""" - - for root_path in ("/home/root", "/home/root/"): - app = FastAPI(root_path=root_path) - add_routes( - app, - RunnableLambda(lambda foo: "hello"), - path="/chat", - ) - - router = APIRouter(prefix="/router") - add_routes( - router, - RunnableLambda(lambda foo: "hello"), - path="/chat", - ) - app.include_router(router) - - async_client = AsyncClient(app=app, base_url="http://localhost:9999") - - response = await async_client.get("/chat/playground/index.html") - assert response.status_code == 200 - assert ( - f'src="{root_path.rstrip("/")}/chat/playground/assets/' - in response.content.decode() - ), "html should contain reference to playground assets with root_path prefix" - - response = await async_client.get("/router/chat/playground/index.html") - assert response.status_code == 200 - assert ( - f'src="{root_path.rstrip("/")}/router/chat/playground/assets/' - in response.content.decode() - ), "html should contain reference to playground assets with root_path prefix" - - async def test_server_async(app: FastAPI) -> None: """Test the server directly via HTTP requests.""" async with get_async_test_client(app, raise_app_exceptions=True) as async_client: From 2c7fceff02c2b0426d95e06e70f5d8b364eb9e6e Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 1 Apr 2024 12:51:53 -0400 Subject: [PATCH 14/37] Update .clabot (#582) --- .clabot | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.clabot b/.clabot index 0cbb898c..4a5fe49b 100644 --- a/.clabot +++ b/.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"], + "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"], "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." } From 014acfcfb74c2e8e1c954249ca532db6b921d4ce Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 1 Apr 2024 12:52:51 -0400 Subject: [PATCH 15/37] LangServe: Raise invalid request exceptions (#581) * This PR removes dependency on httpx sse * After this PR invalid requests will be returned as having a status code of 422 using a non streaming request --- langserve/api_handler.py | 138 ++++--------------------- langserve/client.py | 89 +++++++--------- langserve/server_sent_events.py | 136 ++++++++++++++++++++++++ poetry.lock | 37 +++---- pyproject.toml | 7 +- tests/unit_tests/test_server_client.py | 59 +++++++---- 6 files changed, 244 insertions(+), 222 deletions(-) create mode 100644 langserve/server_sent_events.py diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 4be0776e..e457b03b 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -1085,8 +1085,6 @@ async def stream( Originates from the client side. This config must be validated. server_config: optional server configuration that will be merged """ - err_event = {} - validation_exception: Optional[BaseException] = None run_id = None try: config, input_ = await self._get_config_and_input( @@ -1096,26 +1094,12 @@ async def stream( server_config=server_config, ) run_id = config["run_id"] - 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"} - ), - } + 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 and not validation_exception: + 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" @@ -1133,15 +1117,6 @@ async def stream( 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() @@ -1199,8 +1174,6 @@ async def stream_log( 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, @@ -1208,56 +1181,21 @@ async def stream_log( endpoint="stream_log", server_config=server_config, ) - 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"} - ), - } - + except BaseException: + # Exceptions will be properly translated by default FastAPI middleware + # to either 422 (on input validation) or 500 internal server errors. + raise try: body = await request.json() with _with_validation_error_translation(): stream_log_request = StreamLogParameters(**body) except json.JSONDecodeError: - # 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())}), - } + raise RequestValidationError(errors=["Invalid JSON body"]) + except RequestValidationError: + raise async def _stream_log() -> 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: async for chunk in self._runnable.astream_log( input_, @@ -1314,8 +1252,6 @@ async def astream_events( server_config: Optional[RunnableConfig] = None, ) -> EventSourceResponse: """Stream events from the runnable.""" - err_event = {} - validation_exception: Optional[BaseException] = None run_id = None try: config, input_ = await self._get_config_and_input( @@ -1325,48 +1261,23 @@ async def astream_events( server_config=server_config, ) run_id = config["run_id"] - 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"} - ), - } + except BaseException: + # Exceptions will be properly translated by default FastAPI middleware + # to either 422 (on input validation) or 500 internal server errors. + raise try: body = await request.json() with _with_validation_error_translation(): stream_events_request = StreamEventsParameters(**body) except json.JSONDecodeError: - # 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())}), - } + raise RequestValidationError(errors=["Invalid JSON body"]) + except RequestValidationError: + raise feedback_key: Optional[str] - if self._token_feedback_enabled and not validation_exception: + 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( @@ -1387,15 +1298,6 @@ async def _stream_events() -> AsyncIterator[dict]: "Please upgrade langchain-core>=0.1.14 to use astream_events" ) - if validation_exception: - yield err_event - if isinstance(validation_exception, RequestValidationError): - return - else: - raise AssertionError( - "Internal server error" - ) from validation_exception - has_sent_metadata = False try: diff --git a/langserve/client.py b/langserve/client.py index 7e7cf21c..9654446e 100644 --- a/langserve/client.py +++ b/langserve/client.py @@ -45,6 +45,7 @@ WellKnownLCSerializer, load_events, ) +from langserve.server_sent_events import aconnect_sse, connect_sse logger = logging.getLogger(__name__) @@ -523,25 +524,17 @@ def stream( } 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 converted to an AddableDict + # and will be coverted to an AddableDict # automatically chunk = AddableDict(chunk) yield chunk @@ -563,21 +556,21 @@ def stream( 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) @@ -609,18 +602,13 @@ async def astream( } 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 @@ -647,21 +635,21 @@ async def astream( 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) @@ -718,18 +706,13 @@ async def astream_log( } 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. @@ -741,18 +724,18 @@ async def astream_log( 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) @@ -822,36 +805,34 @@ async def astream_events( "exclude_tags": exclude_tags, } endpoint = urljoin(self.url, "stream_events") - - try: - from httpx_sse import aconnect_sse - except ImportError: - raise ImportError("You must install `httpx_sse` to use the stream method.") + headers = kwargs.pop("headers", {}) + headers["Accept"] = "text/event-stream" + headers["Cache-Control"] = "no-store" 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) diff --git a/langserve/server_sent_events.py b/langserve/server_sent_events.py new file mode 100644 index 00000000..f85375fa --- /dev/null +++ b/langserve/server_sent_events.py @@ -0,0 +1,136 @@ +"""Adapted from https://github.com/florimondmanca/httpx-sse""" +from contextlib import asynccontextmanager, contextmanager +from typing import Any, AsyncIterator, Iterator, List, Optional, TypedDict + +import httpx + + +class ServerSentEvent(TypedDict): + event: Optional[str] + data: Optional[str] + id: Optional[str] + retry: Optional[int] + + +class SSEDecoder: + def __init__(self) -> None: + self._event = "" + self._data: List[str] = [] + self._last_event_id = "" + self._retry: Optional[int] = None + + def decode(self, line: str) -> Optional[ServerSentEvent]: + # See: https://html.spec.whatwg.org/multipage/server-sent-events.html#event-stream-interpretation # noqa: E501 + if not line: + if ( + not self._event + and not self._data + and not self._last_event_id + and self._retry is None + ): + return None + + sse = { + "event": self._event, + "data": "\n".join(self._data), + "id": self._last_event_id, + "retry": self._retry, + } + + # NOTE: as per the SSE spec, do not reset last_event_id. + self._event = "" + self._data = [] + self._retry = None + + return sse + + if line.startswith(":"): + return None + + fieldname, _, value = line.partition(":") + + if value.startswith(" "): + value = value[1:] + + if fieldname == "event": + self._event = value + elif fieldname == "data": + self._data.append(value) + elif fieldname == "id": + if "\0" in value: + pass + else: + self._last_event_id = value + elif fieldname == "retry": + try: + self._retry = int(value) + except (TypeError, ValueError): + pass + else: + pass # Field is ignored. + + return None + + +class EventSource: + def __init__(self, response: httpx.Response) -> None: + self._response = response + + def _check_content_type(self) -> None: + """Check that the response content type is 'text/event-stream'.""" + self._response.raise_for_status() + content_type = self._response.headers.get("content-type", "").partition(";")[0] + if "text/event-stream" not in content_type: + raise AssertionError( + "Expected response header Content-Type to contain 'text/event-stream', " + f"got {content_type!r}" + ) + + @property + def response(self) -> httpx.Response: + return self._response + + def iter_sse(self) -> Iterator[ServerSentEvent]: + self._check_content_type() + decoder = SSEDecoder() + for line in self._response.iter_lines(): + line = line.rstrip("\n") + sse = decoder.decode(line) + if sse is not None: + yield sse + + async def aiter_sse(self) -> AsyncIterator[ServerSentEvent]: + self._check_content_type() + decoder = SSEDecoder() + async for line in self._response.aiter_lines(): + line = line.rstrip("\n") + sse = decoder.decode(line) + if sse is not None: + yield sse + + +@contextmanager +def connect_sse( + client: httpx.Client, method: str, url: str, **kwargs: Any +) -> Iterator[EventSource]: + headers = kwargs.pop("headers", {}) + headers["Accept"] = "text/event-stream" + headers["Cache-Control"] = "no-store" + + with client.stream(method, url, headers=headers, **kwargs) as response: + yield EventSource(response) + + +@asynccontextmanager +async def aconnect_sse( + client: httpx.AsyncClient, + method: str, + url: str, + **kwargs: Any, +) -> AsyncIterator[EventSource]: + headers = kwargs.pop("headers", {}) + headers["Accept"] = "text/event-stream" + headers["Cache-Control"] = "no-store" + + async with client.stream(method, url, headers=headers, **kwargs) as response: + yield EventSource(response) diff --git a/poetry.lock b/poetry.lock index b942a2f7..acd65bc0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1013,17 +1013,6 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] -[[package]] -name = "httpx-sse" -version = "0.4.0" -description = "Consume Server-Sent Event (SSE) messages with HTTPX." -optional = false -python-versions = ">=3.8" -files = [ - {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"}, - {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"}, -] - [[package]] name = "idna" version = "3.6" @@ -1547,13 +1536,13 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v [[package]] name = "langchain-core" -version = "0.1.36" +version = "0.1.37" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.1.36-py3-none-any.whl", hash = "sha256:564beeb18ab13deca8daf6e6e74acab52e0b8f6202110262a4c914e4450febd2"}, - {file = "langchain_core-0.1.36.tar.gz", hash = "sha256:aa2432370ca3d2a5d6dd14a810aa6488bf2f622ff7a0a3dc30f6e0ed9d7f5fa8"}, + {file = "langchain_core-0.1.37-py3-none-any.whl", hash = "sha256:63c6aecb0f2eb1a21f8e944da622748cfeafa2cc3d94c0182ffa8038bd00fe0b"}, + {file = "langchain_core-0.1.37.tar.gz", hash = "sha256:3db7008796e25aea90f98c2159dbf29bf1fd296bdcb78dc2d8183a92fdde4433"}, ] [package.dependencies] @@ -1570,13 +1559,13 @@ extended-testing = ["jinja2 (>=3,<4)"] [[package]] name = "langsmith" -version = "0.1.36" +version = "0.1.38" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.36-py3-none-any.whl", hash = "sha256:8022a7460fc1369eed40d32f298e90f02887733494ac2e0a29185aaa64c94352"}, - {file = "langsmith-0.1.36.tar.gz", hash = "sha256:1cf504013933bb3231ac52ac52946414ab768c1b4dced45cf0891e939047a0f7"}, + {file = "langsmith-0.1.38-py3-none-any.whl", hash = "sha256:f36479f82cf537cf40d129ac2e485e72a3981360c7b6cf2549dad77d98eafd8f"}, + {file = "langsmith-0.1.38.tar.gz", hash = "sha256:2c1f98ac0a8c02e43b625650a6e13c65b09523551bfc21a59d20963f46f7d265"}, ] [package.dependencies] @@ -2245,13 +2234,13 @@ files = [ [[package]] name = "pycparser" -version = "2.21" +version = "2.22" description = "C parser in Python" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = ">=3.8" files = [ - {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"}, - {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"}, + {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, + {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, ] [[package]] @@ -3755,11 +3744,11 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [extras] -all = ["fastapi", "httpx-sse", "sse-starlette"] -client = ["httpx-sse"] +all = ["fastapi", "sse-starlette"] +client = [] server = ["fastapi", "sse-starlette"] [metadata] lock-version = "2.0" python-versions = "^3.8.1" -content-hash = "880643c0bae664347320a0b9db10ee83bba316bb7cf6aeabe0ee91b1d30aa168" +content-hash = "5bb0be184ec7446ca3e202a17728c39b759a33a971e691e83d0e611bf43e8d4d" diff --git a/pyproject.toml b/pyproject.toml index 2a6a7e5d..c3e8e1f9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,6 @@ python = "^3.8.1" httpx = ">=0.23.0" # May be able to decrease this version fastapi = {version = ">=0.90.1,<1", optional = true} sse-starlette = {version = "^1.3.0", optional = true} -httpx-sse = {version = ">=0.3.1", optional = true} pydantic = ">=1" langchain-core = "^0.1.0" orjson = ">=2" @@ -23,7 +22,6 @@ orjson = ">=2" jupyterlab = "^3.6.1" fastapi = ">=0.90.1" sse-starlette = "^1.3.0" -httpx-sse = ">=0.3.1" [tool.poetry.group.typing.dependencies] @@ -45,15 +43,14 @@ openai = "^0.28.0" uvicorn = {extras = ["standard"], version = "^0.23.2"} fastapi = ">=0.90.1" sse-starlette = "^1.3.0" -httpx-sse = ">=0.3.1" [tool.poetry.extras] # Extras that are used for client -client = ["httpx-sse"] +client = [] # Extras that are used for server server = ["sse-starlette", "fastapi"] # All -all = ["httpx-sse", "sse-starlette", "fastapi"] +all = ["sse-starlette", "fastapi"] [tool.ruff] select = [ diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index be46b5fb..aad1fc44 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -380,26 +380,18 @@ async def test_server_async(app: FastAPI) -> None: async with get_async_test_client(app, raise_app_exceptions=True) as async_client: # Test bad stream requests response = await async_client.post("/stream", data="bad json []") - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 response = await async_client.post("/stream", json={}) - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 # test stream_log bad requests async with get_async_test_client(app, raise_app_exceptions=True) as async_client: response = await async_client.post("/stream_log", data="bad json []") - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 response = await async_client.post("/stream_log", json={}) - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 async def test_server_astream_events(app: FastAPI) -> None: @@ -455,14 +447,10 @@ async def test_server_astream_events(app: FastAPI) -> None: # test stream_events with bad requests async with get_async_test_client(app, raise_app_exceptions=True) as async_client: response = await async_client.post("/stream_events", data="bad json []") - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 response = await async_client.post("/stream_events", json={}) - stream_events = _decode_eventstream(response.text) - assert stream_events[0]["type"] == "error" - assert stream_events[0]["data"]["status_code"] == 422 + assert response.status_code == 422 async def test_server_bound_async(app_for_config: FastAPI) -> None: @@ -813,6 +801,31 @@ def add_one(x: int) -> int: } +async def test_streaming_with_errors() -> None: + from langchain_core.runnables import RunnableGenerator + + async def with_errors(inputs: dict) -> AsyncIterator[int]: + yield 1 + raise ValueError("Error") + yield 2 + + app = FastAPI() + add_routes(app, RunnableGenerator(with_errors), path="/with_errors") + + async with get_async_remote_runnable( + app, path="/with_errors", raise_app_exceptions=False + ) as runnable: + chunks = [] + + with pytest.raises(httpx.HTTPStatusError) as e: + async for chunk in runnable.astream(1): + chunks.append(chunk) + + # Check that first chunk was received + assert chunks == [1] + assert e.value.response.status_code == 500 + + async def test_astream_log_allowlist(event_loop: AbstractEventLoop) -> None: """Test async stream with an allowlist.""" @@ -1958,10 +1971,14 @@ async def buggy_modifier( else: raise ValueError(f"Unknown endpoint {endpoint}") - if endpoint in {"invoke", "batch"}: + if endpoint in { + "invoke", + "batch", + "stream", + "stream_log", + "astream_events", + }: assert response.status_code == 500 - elif endpoint in {"stream", "stream_log"}: - assert '"status_code": 500' in response.text else: assert response.status_code != 500 From 1765f632d3cf82c6440ca379003759a722937863 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 1 Apr 2024 13:54:11 -0400 Subject: [PATCH 16/37] 0.1.0 RC1 (#584) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index c3e8e1f9..5782cc06 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.0.51" +version = "0.1.0rc1" description = "" readme = "README.md" authors = ["LangChain"] From 8439937acb0bbbcdc1d5ec8f4460c7d16581305d Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 3 Apr 2024 16:11:26 -0400 Subject: [PATCH 17/37] Fixes associated with feedback endpoint (#593) - Fixes langsmith client not being enabled if token feedback was specified - Add unit test for token feedback endpoint - Fix schema for token feedback to accept a str in addition to a UUID - Add metadata even to astream log with token feedback information --- langserve/api_handler.py | 38 ++++++++++-- langserve/schema.py | 2 +- tests/unit_tests/test_server_client.py | 84 ++++++++++++++++++++++---- 3 files changed, 104 insertions(+), 20 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index e457b03b..d72f09cb 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -477,11 +477,6 @@ def _add_callbacks( _SEEN_NAMES = set() -def _is_scoped_feedback_enabled() -> bool: - """Temporary hard-coded as False. Used only to enable during unit tests.""" - return False - - class PerKeyFeedbackConfig(TypedDict): """Per feedback configuration. @@ -650,7 +645,8 @@ def __init__( # remember to make relevant updates in the unit tests. self._langsmith_client = ( ls_client.Client() - if tracing_is_enabled() and enable_feedback_endpoint + if tracing_is_enabled() + and (enable_feedback_endpoint or self._token_feedback_enabled) else None ) @@ -1181,6 +1177,7 @@ async def stream_log( 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. @@ -1194,8 +1191,25 @@ async def stream_log( 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 + async def _stream_log() -> AsyncIterator[dict]: """Stream the output of the runnable.""" + has_sent_metadata = False try: async for chunk in self._runnable.astream_log( input_, @@ -1229,6 +1243,18 @@ async def _stream_log() -> AsyncIterator[dict]: "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._enable_feedback_endpoint: + 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 { diff --git a/langserve/schema.py b/langserve/schema.py index 6f729b7c..26392993 100644 --- a/langserve/schema.py +++ b/langserve/schema.py @@ -116,7 +116,7 @@ class BaseFeedback(BaseModel): class FeedbackCreateRequestTokenBased(BaseModel): """Shared information between create requests of feedback and feedback objects.""" - token_or_url: UUID + token_or_url: Union[UUID, str] """The associated run ID this feedback is logged for.""" score: Optional[Union[float, int, bool]] = None diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index aad1fc44..927346bb 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2796,19 +2796,14 @@ def get_by_session_id(session_id: str) -> BaseChatMessageHistory: async def get_langsmith_client() -> AsyncIterator[MagicMock]: """Get a patched langsmith client.""" with patch("langserve.api_handler.ls_client") as mocked_ls_client_package: - with patch("langserve.api_handler._is_scoped_feedback_enabled") as f: - # Enable scoped feedback for now. - f.return_value = True - with patch( - "langserve.api_handler.tracing_is_enabled" - ) as tracing_is_enabled: - tracing_is_enabled.return_value = True - mocked_client = MagicMock(auto_spec=Client) - mocked_ls_client_package.Client.return_value = mocked_client - yield mocked_client - - -async def test_scoped_feedback() -> None: + with patch("langserve.api_handler.tracing_is_enabled") as tracing_is_enabled: + tracing_is_enabled.return_value = True + mocked_client = MagicMock(auto_spec=Client) + mocked_ls_client_package.Client.return_value = mocked_client + yield mocked_client + + +async def test_token_feedback_included_in_responses() -> None: """Test that information to leave scoped feedback is passed to the client is present in the server response. """ @@ -2954,6 +2949,35 @@ async def test_scoped_feedback() -> None: "type": "metadata", } + # Test astream log + response = await async_client.post( + "/stream_log", + json={"input": "hello"}, + ) + events = _decode_eventstream(response.text) + for event in events: + if "data" in event and "run_id" in event["data"]: + del event["data"]["run_id"] + + # Find the metadata event and pull it out + metadata_event = None + for event in events: + if event["type"] == "metadata": + metadata_event = event + + assert metadata_event == { + "data": { + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "token_url": "feedback_id", + } + ] + }, + "type": "metadata", + } + async def test_passing_run_id_from_client() -> None: """test that the client can set a run id if server allows it.""" @@ -3014,3 +3038,37 @@ async def test_passing_bad_runnable_to_add_routes() -> None: add_routes(FastAPI(), "not a runnable") assert e.match("Expected a Runnable, got ") + + +async def test_token_feedback_endpoint() -> None: + """Tests that the feedback endpoint can accept feedback to langsmith.""" + async with get_langsmith_client() as client: + local_app = FastAPI() + add_routes( + local_app, + RunnableLambda(lambda foo: "hello"), + token_feedback_config={ + "key_configs": [ + { + "key": "silliness", + } + ] + }, + ) + + async with get_async_test_client( + local_app, raise_app_exceptions=True + ) as async_client: + response = await async_client.post( + "/token_feedback", json={"token_or_url": "some_url", "score": 3} + ) + assert response.status_code == 200 + + call = client.create_feedback_from_token.call_args + assert call.args[0] == "some_url" + assert call.kwargs == { + "comment": None, + "metadata": {"from_langserve": True}, + "score": 3, + "value": None, + } From fbdb5a4c205a6eca22276ee576c85915df2cf6c4 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 3 Apr 2024 16:20:12 -0400 Subject: [PATCH 18/37] 0.1.0rc2 release (#594) rc2 release to test API for feedback token integration --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 5782cc06..d4021fc0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.1.0rc1" +version = "0.1.0rc2" description = "" readme = "README.md" authors = ["LangChain"] From ee9b4e78d6971900f0abb330b21ae6671ba4633e Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 15 Apr 2024 12:41:12 -0400 Subject: [PATCH 19/37] Release 0.1.0 (#608) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d4021fc0..82025d30 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.1.0rc2" +version = "0.1.0" description = "" readme = "README.md" authors = ["LangChain"] From 109445b25ef047e1cc1624a83eda2deef03a6c83 Mon Sep 17 00:00:00 2001 From: Nuno Campos Date: Mon, 22 Apr 2024 14:42:17 -0700 Subject: [PATCH 20/37] Changes to readme (#614) - remove pulumi links which are 404 - fix stream_events mention - run markdown formatter --- README.md | 122 ++++++++++++++++++++++++------------------------------ 1 file changed, 54 insertions(+), 68 deletions(-) diff --git a/README.md b/README.md index f214d144..d8faf9e3 100644 --- a/README.md +++ b/README.md @@ -28,11 +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 `astream_events` to make it easier to stream without needing to parse the output of `stream_log`. +- **new** as of 0.0.40, supports `/stream_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/)) @@ -58,7 +58,7 @@ 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). @@ -79,35 +79,41 @@ 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 ``` - ## Examples Get your LangServe instance started quickly with @@ -119,24 +125,24 @@ 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/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) | ## Sample Application @@ -206,8 +212,8 @@ 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 @@ -267,10 +273,10 @@ 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", }); ``` @@ -319,7 +325,7 @@ 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 @@ -460,27 +466,6 @@ 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 @@ -511,7 +496,7 @@ 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/). @@ -520,11 +505,11 @@ 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/). @@ -544,10 +529,10 @@ 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. @@ -616,8 +601,8 @@ 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. @@ -656,10 +641,10 @@ 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 @@ -675,8 +660,8 @@ 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; }; ``` @@ -734,9 +719,9 @@ 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: @@ -776,6 +761,7 @@ add_routes( ``` Example widget: +

From 153616bb993a2f4f72561f04ff11c844efb959a2 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 25 Apr 2024 11:37:51 -0400 Subject: [PATCH 21/37] patch: fix feedback in astream log and astream events (#620) Code was checking if feedback was enabled rather than token feedback. --- langserve/api_handler.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index d72f09cb..346e89dc 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -1245,7 +1245,7 @@ async def _stream_log() -> AsyncIterator[dict]: } # Send a metadata event as soon as possible - if not has_sent_metadata and self._enable_feedback_endpoint: + 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(): @@ -1354,7 +1354,7 @@ async def _stream_events() -> AsyncIterator[dict]: } # Send a metadata event as soon as possible - if not has_sent_metadata and self._enable_feedback_endpoint: + 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(): From 5fe83e33b89040dc79fbf2e89c9d56957582bec5 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Thu, 25 Apr 2024 11:40:38 -0400 Subject: [PATCH 22/37] Release 0.1.1 (#621) See release notes --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 82025d30..692124ff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.1.0" +version = "0.1.1" description = "" readme = "README.md" authors = ["LangChain"] From 08d4bdd61aff6005070ce858fe85d0e40bf89d6c Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 29 Apr 2024 11:14:52 -0400 Subject: [PATCH 23/37] Migrate to locations of imports (#625) Migrate to new locations of imports --- examples/agent/server.py | 12 ++++++------ examples/agent_custom_streaming/server.py | 8 ++++---- examples/agent_with_history/server.py | 8 ++++---- examples/auth/api_handler/server.py | 2 +- examples/auth/per_req_config_modifier/server.py | 2 +- examples/chat_playground/legacy_input/server.py | 2 +- examples/chat_with_persistence/server.py | 4 ++-- examples/chat_with_persistence_and_user/server.py | 6 +++--- examples/configurable_agent_executor/server.py | 12 ++++++------ examples/configurable_chain/server.py | 8 ++++---- examples/configurable_retrieval/server.py | 15 ++++++++------- examples/conversational_retrieval_chain/server.py | 13 +++++-------- examples/file_processing/server.py | 6 +++--- examples/llm/server.py | 3 ++- examples/passthrough_dict/server.py | 8 ++++---- examples/retrieval/server.py | 4 ++-- examples/router/server.py | 3 ++- examples/widgets/chat/message_list/server.py | 2 +- examples/widgets/chat/tuples/server.py | 11 +++++------ 19 files changed, 64 insertions(+), 65 deletions(-) diff --git a/examples/agent/server.py b/examples/agent/server.py index 8a477884..2eb32fc1 100755 --- a/examples/agent/server.py +++ b/examples/agent/server.py @@ -20,15 +20,15 @@ from typing import Any from fastapi import FastAPI -from langchain.agents import AgentExecutor, tool +from langchain.agents import AgentExecutor from langchain.agents.format_scratchpad import format_to_openai_functions from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser -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_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 langserve import add_routes diff --git a/examples/agent_custom_streaming/server.py b/examples/agent_custom_streaming/server.py index 90987983..736a0858 100755 --- a/examples/agent_custom_streaming/server.py +++ b/examples/agent_custom_streaming/server.py @@ -47,15 +47,15 @@ from typing import Any, AsyncIterator, List, Literal from fastapi import FastAPI -from langchain.agents import AgentExecutor, tool +from langchain.agents import AgentExecutor 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.prompts import ChatPromptTemplate +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder 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 langserve import add_routes diff --git a/examples/agent_with_history/server.py b/examples/agent_with_history/server.py index d859d8f1..5435e1f3 100755 --- a/examples/agent_with_history/server.py +++ b/examples/agent_with_history/server.py @@ -26,15 +26,15 @@ from typing import Any, List, Union from fastapi import FastAPI -from langchain.agents import AgentExecutor, tool +from langchain.agents import AgentExecutor 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 +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_openai import ChatOpenAI from langserve import add_routes diff --git a/examples/auth/api_handler/server.py b/examples/auth/api_handler/server.py index 720115b7..862cbbe4 100755 --- a/examples/auth/api_handler/server.py +++ b/examples/auth/api_handler/server.py @@ -35,7 +35,6 @@ 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 ( @@ -44,6 +43,7 @@ RunnableSerializable, ) from langchain_core.vectorstores import VectorStore +from langchain_openai import OpenAIEmbeddings from typing_extensions import Annotated from langserve import APIHandler diff --git a/examples/auth/per_req_config_modifier/server.py b/examples/auth/per_req_config_modifier/server.py index 14e2c1c8..26f90e01 100755 --- a/examples/auth/per_req_config_modifier/server.py +++ b/examples/auth/per_req_config_modifier/server.py @@ -36,7 +36,6 @@ 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 ( @@ -45,6 +44,7 @@ RunnableSerializable, ) from langchain_core.vectorstores import VectorStore +from langchain_openai import OpenAIEmbeddings from typing_extensions import Annotated from langserve import add_routes diff --git a/examples/chat_playground/legacy_input/server.py b/examples/chat_playground/legacy_input/server.py index 2d01dc26..415259b8 100644 --- a/examples/chat_playground/legacy_input/server.py +++ b/examples/chat_playground/legacy_input/server.py @@ -5,7 +5,7 @@ from typing import List, Union from fastapi import FastAPI -from langchain.chat_models import ChatAnthropic +from langchain_anthropic import ChatAnthropic from langchain_core.messages import AIMessage, HumanMessage, SystemMessage from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder diff --git a/examples/chat_with_persistence/server.py b/examples/chat_with_persistence/server.py index 82170ff7..b2c87e75 100755 --- a/examples/chat_with_persistence/server.py +++ b/examples/chat_with_persistence/server.py @@ -13,8 +13,8 @@ from typing import Callable, Union from fastapi import FastAPI, HTTPException -from langchain.chat_models import ChatAnthropic -from langchain.memory import FileChatMessageHistory +from langchain_anthropic import ChatAnthropic +from langchain_community.chat_message_histories import FileChatMessageHistory from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.runnables.history import RunnableWithMessageHistory diff --git a/examples/chat_with_persistence_and_user/server.py b/examples/chat_with_persistence_and_user/server.py index 97ea8673..ccb1eea6 100755 --- a/examples/chat_with_persistence_and_user/server.py +++ b/examples/chat_with_persistence_and_user/server.py @@ -13,13 +13,13 @@ from typing import Any, Callable, Dict, Union from fastapi import FastAPI, HTTPException, Request -from langchain.chat_models import ChatOpenAI -from langchain.memory import FileChatMessageHistory -from langchain.schema.runnable.utils import ConfigurableFieldSpec +from langchain_community.chat_message_histories import FileChatMessageHistory 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 diff --git a/examples/configurable_agent_executor/server.py b/examples/configurable_agent_executor/server.py index 3d425956..7ce73651 100755 --- a/examples/configurable_agent_executor/server.py +++ b/examples/configurable_agent_executor/server.py @@ -17,15 +17,12 @@ from typing import Any, AsyncIterator, Dict, List, Optional, cast from fastapi import FastAPI -from langchain.agents import AgentExecutor, tool +from langchain.agents import AgentExecutor from langchain.agents.format_scratchpad import format_to_openai_functions from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser -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_community.vectorstores import FAISS +from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.runnables import ( ConfigurableField, ConfigurableFieldSpec, @@ -33,6 +30,9 @@ 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 langserve import add_routes diff --git a/examples/configurable_chain/server.py b/examples/configurable_chain/server.py index a2fe2af8..4f7cc30f 100755 --- a/examples/configurable_chain/server.py +++ b/examples/configurable_chain/server.py @@ -10,10 +10,10 @@ from fastapi import FastAPI, HTTPException, Request from fastapi.middleware.cors import CORSMiddleware -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 langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import PromptTemplate +from langchain_core.runnables import ConfigurableField +from langchain_openai import ChatOpenAI from langserve import add_routes diff --git a/examples/configurable_retrieval/server.py b/examples/configurable_retrieval/server.py index 0382e79e..c6e227cc 100755 --- a/examples/configurable_retrieval/server.py +++ b/examples/configurable_retrieval/server.py @@ -3,17 +3,18 @@ from typing import Any, Iterable, List, Optional, Type from fastapi import FastAPI -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 ( +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 ( ConfigurableFieldSingleOption, RunnableConfig, RunnableSerializable, ) -from langchain.schema.vectorstore import VST -from langchain.vectorstores import FAISS, VectorStore +from langchain_core.vectorstores import VectorStore +from langchain_openai import OpenAIEmbeddings from langserve import add_routes from langserve.pydantic_v1 import BaseModel, Field diff --git a/examples/conversational_retrieval_chain/server.py b/examples/conversational_retrieval_chain/server.py index 47f4117f..e3cc1d95 100755 --- a/examples/conversational_retrieval_chain/server.py +++ b/examples/conversational_retrieval_chain/server.py @@ -13,14 +13,11 @@ from typing import List, Tuple from fastapi import FastAPI -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 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 langserve import add_routes from langserve.pydantic_v1 import BaseModel, Field diff --git a/examples/file_processing/server.py b/examples/file_processing/server.py index 07b19144..c3ee4a30 100755 --- a/examples/file_processing/server.py +++ b/examples/file_processing/server.py @@ -15,10 +15,10 @@ import base64 from fastapi import FastAPI -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 langchain_community.document_loaders.parsers.pdf import PDFMinerParser +from langchain_core.document_loaders import Blob +from langchain_core.runnables import RunnableLambda from langserve import CustomUserType, add_routes diff --git a/examples/llm/server.py b/examples/llm/server.py index 0652db95..81999f30 100755 --- a/examples/llm/server.py +++ b/examples/llm/server.py @@ -2,7 +2,8 @@ """Example LangChain server exposes multiple runnables (LLMs in this case).""" from fastapi import FastAPI -from langchain.chat_models import ChatAnthropic, ChatOpenAI +from langchain_anthropic import ChatAnthropic +from langchain_openai import ChatOpenAI from langserve import add_routes diff --git a/examples/passthrough_dict/server.py b/examples/passthrough_dict/server.py index dfcca4e8..ec764862 100755 --- a/examples/passthrough_dict/server.py +++ b/examples/passthrough_dict/server.py @@ -4,9 +4,9 @@ from typing import Any, Callable, Dict, List, Optional, TypedDict from fastapi import FastAPI -from langchain.chat_models import ChatOpenAI -from langchain.prompts import ChatPromptTemplate -from langchain.schema.runnable import RunnableMap, RunnablePassthrough +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.runnables import RunnableParallel, RunnablePassthrough +from langchain_openai import ChatOpenAI from langserve import add_routes @@ -43,7 +43,7 @@ def _project_dict( underlying_chain = prompt | model -wrapped_chain = RunnableMap( +wrapped_chain = RunnableParallel( { "output": _create_projection(exclude_keys=["info"]) | underlying_chain, "info": _create_projection(include_keys=["info"]), diff --git a/examples/retrieval/server.py b/examples/retrieval/server.py index 12663ed8..a13243f4 100755 --- a/examples/retrieval/server.py +++ b/examples/retrieval/server.py @@ -1,8 +1,8 @@ #!/usr/bin/env python """Example LangChain server exposes a retriever.""" from fastapi import FastAPI -from langchain.embeddings import OpenAIEmbeddings -from langchain.vectorstores import FAISS +from langchain_community.vectorstores import FAISS +from langchain_openai import OpenAIEmbeddings from langserve import add_routes diff --git a/examples/router/server.py b/examples/router/server.py index 7f51974b..985bea10 100755 --- a/examples/router/server.py +++ b/examples/router/server.py @@ -9,7 +9,8 @@ https://fastapi.tiangolo.com/tutorial/bigger-applications/ """ from fastapi import APIRouter, FastAPI -from langchain.chat_models import ChatAnthropic, ChatOpenAI +from langchain_anthropic import ChatAnthropic +from langchain_openai import ChatOpenAI from langserve import add_routes diff --git a/examples/widgets/chat/message_list/server.py b/examples/widgets/chat/message_list/server.py index b2c31465..bc23463b 100755 --- a/examples/widgets/chat/message_list/server.py +++ b/examples/widgets/chat/message_list/server.py @@ -6,7 +6,7 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -from langchain.chat_models import ChatAnthropic +from langchain_anthropic import ChatAnthropic from langchain_core.messages import AIMessage, HumanMessage, SystemMessage from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder diff --git a/examples/widgets/chat/tuples/server.py b/examples/widgets/chat/tuples/server.py index 7aefc2a2..8f80b264 100755 --- a/examples/widgets/chat/tuples/server.py +++ b/examples/widgets/chat/tuples/server.py @@ -6,18 +6,17 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -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 ( +from langchain_community.document_loaders.parsers.pdf import PDFMinerParser +from langchain_core.document_loaders import Blob +from langchain_core.messages import ( AIMessage, BaseMessage, FunctionMessage, HumanMessage, ) -from langchain.schema.runnable import RunnableLambda -from langchain_core.runnables import RunnableParallel +from langchain_core.runnables import RunnableLambda, RunnableParallel +from langchain_openai import ChatOpenAI from langserve import CustomUserType from langserve.server import add_routes From 075bdd0cfc127f45279a594b8aabae3442e3b2ba Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 15 May 2024 16:17:43 -0400 Subject: [PATCH 24/37] Update to allow core 0.2.0 (#644) Prepare for 0.2.x release for core --- poetry.lock | 1457 ++++++++++------- pyproject.toml | 3 +- tests/unit_tests/test_server_client.py | 20 +- tests/unit_tests/utils/stubs.py | 6 + .../unit_tests/utils/test_fake_chat_model.py | 56 +- 5 files changed, 931 insertions(+), 611 deletions(-) create mode 100644 tests/unit_tests/utils/stubs.py diff --git a/poetry.lock b/poetry.lock index acd65bc0..e3ba249d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,87 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.9.3" +version = "3.9.5" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"}, - {file = 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@@ -15,8 +15,9 @@ httpx = ">=0.23.0" # May be able to decrease this version fastapi = {version = ">=0.90.1,<1", optional = true} sse-starlette = {version = "^1.3.0", optional = true} pydantic = ">=1" -langchain-core = "^0.1.0" +langchain-core = ">=0.1,<3" orjson = ">=2" +pyproject-toml = "^0.0.10" [tool.poetry.group.dev.dependencies] jupyterlab = "^3.6.1" diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index 927346bb..ff6089e1 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -71,6 +71,7 @@ from langserve.client import RemoteRunnable from langserve.lzstring import LZString from langserve.schema import CustomUserType +from tests.unit_tests.utils.stubs import AnyStr try: from pydantic.v1 import BaseModel, Field @@ -2558,7 +2559,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": ["seq:step:2"], }, { - "data": {"chunk": AIMessageChunk(content="Hello")}, + "data": {"chunk": AIMessageChunk(content="Hello", id=AnyStr())}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2582,7 +2583,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content=" ")}, + "data": {"chunk": AIMessageChunk(content=" ", id=AnyStr())}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2600,7 +2601,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content="World!")}, + "data": {"chunk": AIMessageChunk(content="World!", id=AnyStr())}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2632,7 +2633,9 @@ async def test_astream_events_with_prompt_model_parser_chain( [ ChatGenerationChunk( text="Hello World!", - message=AIMessageChunk(content="Hello World!"), + message=AIMessageChunk( + content="Hello World!", id=AnyStr() + ), ) ] ], @@ -2646,7 +2649,7 @@ async def test_astream_events_with_prompt_model_parser_chain( }, { "data": { - "input": AIMessageChunk(content="Hello World!"), + "input": AIMessageChunk(content="Hello World!", id=AnyStr()), "output": "Hello World!", }, "event": "on_parser_end", @@ -2784,10 +2787,13 @@ def get_by_session_id(session_id: str) -> BaseChatMessageHistory: result = await chain_with_history.ainvoke( {"question": "hi"}, {"configurable": {"session_id": "1"}} ) - assert result == AIMessage(content="Hello World!") + assert result == AIMessage(content="Hello World!", id=AnyStr()) assert store == { "1": InMemoryHistory( - messages=[HumanMessage(content="hi"), AIMessage(content="Hello World!")] + messages=[ + HumanMessage(content="hi"), + AIMessage(content="Hello World!", id=AnyStr()), + ] ) } diff --git a/tests/unit_tests/utils/stubs.py b/tests/unit_tests/utils/stubs.py new file mode 100644 index 00000000..38e84a3a --- /dev/null +++ b/tests/unit_tests/utils/stubs.py @@ -0,0 +1,6 @@ +from typing import Any + + +class AnyStr(str): + def __eq__(self, other: Any) -> bool: + return isinstance(other, str) diff --git a/tests/unit_tests/utils/test_fake_chat_model.py b/tests/unit_tests/utils/test_fake_chat_model.py index 89d0cd8b..a11813ba 100644 --- a/tests/unit_tests/utils/test_fake_chat_model.py +++ b/tests/unit_tests/utils/test_fake_chat_model.py @@ -8,6 +8,7 @@ from langchain_core.outputs import ChatGenerationChunk, GenerationChunk from tests.unit_tests.utils.llms import GenericFakeChatModel +from tests.unit_tests.utils.stubs import AnyStr def test_generic_fake_chat_model_invoke() -> None: @@ -15,11 +16,11 @@ def test_generic_fake_chat_model_invoke() -> None: infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")]) model = GenericFakeChatModel(messages=infinite_cycle) response = model.invoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) response = model.invoke("kitty") - assert response == AIMessage(content="goodbye") + assert response == AIMessage(content="goodbye", id=AnyStr()) response = model.invoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) async def test_generic_fake_chat_model_ainvoke() -> None: @@ -27,11 +28,11 @@ async def test_generic_fake_chat_model_ainvoke() -> None: infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")]) model = GenericFakeChatModel(messages=infinite_cycle) response = await model.ainvoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) response = await model.ainvoke("kitty") - assert response == AIMessage(content="goodbye") + assert response == AIMessage(content="goodbye", id=AnyStr()) response = await model.ainvoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) async def test_generic_fake_chat_model_stream() -> None: @@ -44,26 +45,28 @@ async def test_generic_fake_chat_model_stream() -> None: model = GenericFakeChatModel(messages=infinite_cycle) chunks = [chunk async for chunk in model.astream("meow")] assert chunks == [ - AIMessageChunk(content="hello"), - AIMessageChunk(content=" "), - AIMessageChunk(content="goodbye"), + AIMessageChunk(content="hello", id=AnyStr()), + AIMessageChunk(content=" ", id=AnyStr()), + AIMessageChunk(content="goodbye", id=AnyStr()), ] chunks = [chunk for chunk in model.stream("meow")] assert chunks == [ - AIMessageChunk(content="hello"), - AIMessageChunk(content=" "), - AIMessageChunk(content="goodbye"), + AIMessageChunk(content="hello", id=AnyStr()), + AIMessageChunk(content=" ", id=AnyStr()), + AIMessageChunk(content="goodbye", id=AnyStr()), ] # Test streaming of additional kwargs. # Relying on insertion order of the additional kwargs dict - message = AIMessage(content="", additional_kwargs={"foo": 42, "bar": 24}) + message = AIMessage( + content="", additional_kwargs={"foo": 42, "bar": 24}, id=AnyStr() + ) model = GenericFakeChatModel(messages=cycle([message])) chunks = [chunk async for chunk in model.astream("meow")] assert chunks == [ - AIMessageChunk(content="", additional_kwargs={"foo": 42}), - AIMessageChunk(content="", additional_kwargs={"bar": 24}), + AIMessageChunk(content="", additional_kwargs={"foo": 42}, id=AnyStr()), + AIMessageChunk(content="", additional_kwargs={"bar": 24}, id=AnyStr()), ] message = AIMessage( @@ -81,22 +84,28 @@ async def test_generic_fake_chat_model_stream() -> None: assert chunks == [ AIMessageChunk( - content="", additional_kwargs={"function_call": {"name": "move_file"}} + content="", + additional_kwargs={"function_call": {"name": "move_file"}}, + id=AnyStr(), ), AIMessageChunk( content="", additional_kwargs={ "function_call": {"arguments": '{\n "source_path": "foo"'} }, + id=AnyStr(), ), AIMessageChunk( - content="", additional_kwargs={"function_call": {"arguments": ","}} + content="", + additional_kwargs={"function_call": {"arguments": ","}}, + id=AnyStr(), ), AIMessageChunk( content="", additional_kwargs={ "function_call": {"arguments": '\n "destination_path": "bar"\n}'} }, + id=AnyStr(), ), ] @@ -116,6 +125,7 @@ async def test_generic_fake_chat_model_stream() -> None: 'destination_path": "bar"\n}', } }, + id=AnyStr(), ) @@ -128,9 +138,9 @@ async def test_generic_fake_chat_model_astream_log() -> None: ] final = log_patches[-1] assert final.state["streamed_output"] == [ - AIMessageChunk(content="hello"), - AIMessageChunk(content=" "), - AIMessageChunk(content="goodbye"), + AIMessageChunk(content="hello", id=AnyStr()), + AIMessageChunk(content=" ", id=AnyStr()), + AIMessageChunk(content="goodbye", id=AnyStr()), ] @@ -178,8 +188,8 @@ async def on_llm_new_token( # New model results = list(model.stream("meow", {"callbacks": [MyCustomAsyncHandler(tokens)]})) assert results == [ - AIMessageChunk(content="hello"), - AIMessageChunk(content=" "), - AIMessageChunk(content="goodbye"), + AIMessageChunk(content="hello", id=AnyStr()), + AIMessageChunk(content=" ", id=AnyStr()), + AIMessageChunk(content="goodbye", id=AnyStr()), ] assert tokens == ["hello", " ", "goodbye"] From 37f41e54ceaf0a4621da35bbb4d28925df1f0352 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 15 May 2024 16:18:52 -0400 Subject: [PATCH 25/37] 0.2.0rc1 (#645) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d23d302b..3d5ba45f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.1.1" +version = "0.2.0rc1" description = "" readme = "README.md" authors = ["LangChain"] From 21bf92f80c73762798d54cd65df13b622d8f6473 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 15 May 2024 16:20:18 -0400 Subject: [PATCH 26/37] fix upper version for core to 0.3 instead of 3 (#646) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 3d5ba45f..e183932e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,7 +15,7 @@ httpx = ">=0.23.0" # May be able to decrease this version fastapi = {version = ">=0.90.1,<1", optional = true} sse-starlette = {version = "^1.3.0", optional = true} pydantic = ">=1" -langchain-core = ">=0.1,<3" +langchain-core = ">=0.1,<0.3" orjson = ">=2" pyproject-toml = "^0.0.10" From ee250d20f2f4e02db768dbaf3e91afc86e8d89a5 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Wed, 15 May 2024 16:25:29 -0400 Subject: [PATCH 27/37] update poetry.lock file after version bump (#647) Forgot to relock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index e3ba249d..b04eeb26 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4048,4 +4048,4 @@ server = ["fastapi", "sse-starlette"] [metadata] lock-version = "2.0" python-versions = "^3.8.1" -content-hash = "1109cf08ff067185835d0fdcd598c0a54a0f5f695c2cce96a157e30dc1c8d21c" +content-hash = "5a3e72b44fdea68f4070b9a6e891618fed0761b59b0a7850f0c89e257f6b5e43" From bba7122986cc831a50f5ea7b2de30e108f155429 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 17 May 2024 16:39:34 -0400 Subject: [PATCH 28/37] Release 0.2.0 (#651) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e183932e..c4681409 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.2.0rc1" +version = "0.2.0" description = "" readme = "README.md" authors = ["LangChain"] From 4be04bda6da7203da030ace7a485b19c08bd60a9 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Tue, 21 May 2024 13:40:49 -0400 Subject: [PATCH 29/37] Update .clabot (#656) --- .clabot | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.clabot b/.clabot index 4a5fe49b..793c68db 100644 --- a/.clabot +++ b/.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"], + "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"], "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." } From bb74431183277e5a640e4c343f0a134525eb6eef Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 21 May 2024 10:41:21 -0700 Subject: [PATCH 30/37] set default model for Anthropic (#655) `ChatAnthropic()` raises ValidationError. Also set model for ChatOpenAI where it appears alongside anthropic. Best to be explicit about model, otherwise new defaults will cause unexpected changes. Co-authored-by: Eugene Yurtsev --- README.md | 6 +++--- examples/llm/server.py | 4 ++-- examples/router/server.py | 4 ++-- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index d8faf9e3..9c58320f 100644 --- a/README.md +++ b/README.md @@ -167,17 +167,17 @@ app = FastAPI( add_routes( app, - ChatOpenAI(), + ChatOpenAI(model="gpt-3.5-turbo-0125"), path="/openai", ) add_routes( app, - ChatAnthropic(), + ChatAnthropic(model="claude-3-haiku-20240307"), path="/anthropic", ) -model = ChatAnthropic() +model = ChatAnthropic(model="claude-3-haiku-20240307") prompt = ChatPromptTemplate.from_template("tell me a joke about {topic}") add_routes( app, diff --git a/examples/llm/server.py b/examples/llm/server.py index 81999f30..2a119ee0 100755 --- a/examples/llm/server.py +++ b/examples/llm/server.py @@ -15,12 +15,12 @@ add_routes( app, - ChatOpenAI(), + ChatOpenAI(model="gpt-3.5-turbo-0125"), path="/openai", ) add_routes( app, - ChatAnthropic(), + ChatAnthropic(model="claude-3-haiku-20240307"), path="/anthropic", ) diff --git a/examples/router/server.py b/examples/router/server.py index 985bea10..a235f6b5 100755 --- a/examples/router/server.py +++ b/examples/router/server.py @@ -21,13 +21,13 @@ # Invocations to this router will appear in trace logs as /models/openai add_routes( router, - ChatOpenAI(), + ChatOpenAI(model="gpt-3.5-turbo-0125"), path="/openai", ) # Invocations to this router will appear in trace logs as /models/anthropic add_routes( router, - ChatAnthropic(), + ChatAnthropic(model="claude-3-haiku-20240307"), path="/anthropic", ) From 81a633e0f4c4a55caf59e00e24bc3186dba550c1 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 24 May 2024 13:09:06 -0400 Subject: [PATCH 31/37] patch: Use correct attribute for token url (#662) Use correct attribute --- langserve/api_handler.py | 4 ++-- tests/unit_tests/test_server_client.py | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 346e89dc..d6b24b58 100644 --- a/langserve/api_handler.py +++ b/langserve/api_handler.py @@ -852,7 +852,7 @@ async def invoke( feedback_tokens=[ FeedbackToken( key=feedback_key, - url=feedback_token.url, + token_url=feedback_token.url, expires_at=feedback_token.expires_at.isoformat(), ) ] @@ -999,7 +999,7 @@ async def batch( feedback_tokens=[ FeedbackToken( key=feedback_key, - url=feedback_token.url, + token_url=feedback_token.url, expires_at=feedback_token.expires_at.isoformat(), ) ], diff --git a/tests/unit_tests/test_server_client.py b/tests/unit_tests/test_server_client.py index ff6089e1..92c7118e 100644 --- a/tests/unit_tests/test_server_client.py +++ b/tests/unit_tests/test_server_client.py @@ -2853,7 +2853,7 @@ async def test_token_feedback_included_in_responses() -> None: { "expires_at": "2023-01-01T00:00:00", "key": "foo", - "token_url": None, + "token_url": "feedback_id", } ], "run_id": run_id, @@ -2883,7 +2883,7 @@ async def test_token_feedback_included_in_responses() -> None: { "expires_at": "2023-01-01T00:00:00", "key": "foo", - "token_url": None, + "token_url": "feedback_id", } ] }, @@ -2892,7 +2892,7 @@ async def test_token_feedback_included_in_responses() -> None: { "expires_at": "2023-01-01T00:00:00", "key": "foo", - "token_url": None, + "token_url": "feedback_id", } ] }, From 6ef3aca359c9041f224b3463353c65738d6c43fa Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Fri, 24 May 2024 13:09:19 -0400 Subject: [PATCH 32/37] release 0.2.1 (#663) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index c4681409..b803c412 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.2.0" +version = "0.2.1" description = "" readme = "README.md" authors = ["LangChain"] From 1b389f075187395e4eb71dc7067bff812dc68269 Mon Sep 17 00:00:00 2001 From: jakerachleff Date: Fri, 24 May 2024 15:30:26 -0700 Subject: [PATCH 33/37] Update hosted langserve waitlist form (#664) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9c58320f..f628b5e4 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ [![](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/apppQ9p5XuujRl3wJ/shrABpHWdxry8Bacm) +LangChain applications. [Sign up here](https://forms.gle/KC13Nzn76UeLaghK7) to get on the waitlist. ## Overview @@ -53,7 +53,7 @@ in [LangChain.js](https://js.langchain.com/docs/ecosystem/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) +applications. [Sign up here](https://forms.gle/KC13Nzn76UeLaghK7) to get on the waitlist. ## Security From 577dcc779f824f8564fb78d1a8a6962331a2c285 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 10 Jun 2024 12:35:17 -0400 Subject: [PATCH 34/37] Update .clabot (#674) --- .clabot | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.clabot b/.clabot index 793c68db..e17b81f4 100644 --- a/.clabot +++ b/.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." } From df3aa45ef89ba48134afdb03303c244cea7d4477 Mon Sep 17 00:00:00 2001 From: Dennis Rall <56480601+dennisrall@users.noreply.github.com> Date: Mon, 10 Jun 2024 19:05:47 +0200 Subject: [PATCH 35/37] 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 --- poetry.lock | 4 ++-- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index b04eeb26..ce3a9299 100644 --- a/poetry.lock +++ b/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" diff --git a/pyproject.toml b/pyproject.toml index b803c412..402e4a0a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -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 From 3fc76eca053bc473c57270e474903053140e57b8 Mon Sep 17 00:00:00 2001 From: Eugene Yurtsev Date: Mon, 10 Jun 2024 14:41:50 -0400 Subject: [PATCH 36/37] 0.2.2 release (#675) --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 402e4a0a..8307a795 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langserve" -version = "0.2.1" +version = "0.2.2" description = "" readme = "README.md" authors = ["LangChain"] From 050a0cc6743149b98f53da16a3ccc7fd4abed17f Mon Sep 17 00:00:00 2001 From: ccurme Date: Fri, 28 Jun 2024 11:02:32 -0400 Subject: [PATCH 37/37] update readme (#697) --- README.md | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/README.md b/README.md index f628b5e4..0d6b47ba 100644 --- a/README.md +++ b/README.md @@ -5,10 +5,6 @@ [![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 @@ -49,13 +45,6 @@ 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