diff --git a/.clabot b/.clabot index d0b25633..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"], + "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." } diff --git a/README.md b/README.md index 039ed071..53b67d3e 100644 --- a/README.md +++ b/README.md @@ -91,7 +91,7 @@ add_routes( add_routes( app, - ChatAnthropic(), + ChatAnthropic(model="claude-3-haiku-20240307"), path="/anthropic", ) @@ -171,7 +171,7 @@ chain.batch([{ "topic": "попугаи" }, { "topic": "кошки" }]) 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: "кошки", diff --git a/examples/agent/server.py b/examples/agent/server.py index 2a34fa64..f11bcd62 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 3f348bc8..b7591607 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 86002318..f63b1cea 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 a7aa3ce4..85cca3d4 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 @@ -14,12 +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/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 951a1d64..8b1738d5 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..a235f6b5 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 @@ -20,13 +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", ) 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 843e8261..30fa0e1b 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 diff --git a/langserve/api_handler.py b/langserve/api_handler.py index 8a4da689..d6b24b58 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, @@ -12,6 +14,7 @@ Callable, Dict, Generator, + List, Literal, Mapping, Optional, @@ -24,15 +27,22 @@ 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._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 +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 +from typing_extensions import TypedDict from langserve.callbacks import AsyncEventAggregatorCallback, CallbackEventDict from langserve.lzstring import LZString @@ -43,9 +53,11 @@ CustomUserType, Feedback, FeedbackCreateRequest, + FeedbackCreateRequestTokenBased, + FeedbackToken, + InvokeResponseMetadata, PublicTraceLink, PublicTraceLinkCreateRequest, - SingletonResponseMetadata, ) from langserve.serialization import WellKnownLCSerializer from langserve.validation import ( @@ -106,6 +118,39 @@ def _strip_internal_keys(metadata: Dict[str, Any]) -> Dict[str, Any]: return {k: v for k, v in metadata.items() if not k.startswith("__")} +def _create_metadata_event( + run_id: Optional[uuid.UUID] = None, + feedback_key: Optional[str] = None, + feedback_ingest_token: Optional[FeedbackIngestToken] = None, +) -> Dict[str, Any]: + """Create a metadata event with the given type and metadata.""" + data = { + "run_id": str(run_id) if run_id else None, + } + if feedback_ingest_token: + if not feedback_key: + raise ValueError("Feedback key must be provided if feedback token is given") + + if feedback_ingest_token.expires_at: + expires_at = feedback_ingest_token.expires_at.isoformat() + else: + expires_at = None + + data["feedback_tokens"] = [ + { + "key": feedback_key, + "token_url": feedback_ingest_token.url, + "expires_at": expires_at, + } + ] + + metadata = { + "event": "metadata", + "data": json.dumps(data), + } + return metadata + + async def _unpack_request_config( *client_sent_configs: Union[BaseModel, Mapping, str], config_keys: Sequence[str], @@ -218,12 +263,19 @@ def _update_config_with_defaults( # 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.""" @@ -314,7 +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 @@ -350,23 +406,6 @@ 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. @@ -438,7 +477,23 @@ def _add_callbacks( _SEEN_NAMES = set() +class PerKeyFeedbackConfig(TypedDict): + """Per feedback configuration. + + Use to configure the feedback token. + """ + + key: str + + # PUBLIC API +class TokenFeedbackConfig(TypedDict): + """Token feedback configuration. + + This is used to configure the feedback tokens. + """ + + key_configs: List[PerKeyFeedbackConfig] class APIHandler: @@ -464,6 +519,10 @@ 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, @@ -506,6 +565,11 @@ 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 @@ -562,11 +626,27 @@ def __init__( self._enable_public_trace_link_endpoint = enable_public_trace_link_endpoint self._names_in_stream_allow_list = stream_log_name_allow_list + if token_feedback_config: + if len(token_feedback_config["key_configs"]) != 1: + raise NotImplementedError( + "Only one key is supported for now for token feedback " + "configuration. For example specify: " + "{'key_configs': [{'key': 'correctness'}]}" + ) + + warn_beta( + message="Token feedback is in beta. This API may change in the future." + ) + + self._token_feedback_config = token_feedback_config + self._token_feedback_enabled = token_feedback_config is not None + # Client is patched using mock.patch, if changing the names # remember to make relevant updates in the unit tests. self._langsmith_client = ( ls_client.Client() - if tracing_is_enabled() and enable_feedback_endpoint + if tracing_is_enabled() + and (enable_feedback_endpoint or self._token_feedback_enabled) else None ) @@ -617,9 +697,11 @@ 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 @@ -723,10 +805,33 @@ async def invoke( endpoint="invoke", server_config=server_config, ) + run_id = config["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, + ) + + feedback_key: Optional[str] + + # If there's feedback enabled, let's create a presigned feedback token + if self._token_feedback_enabled: + feedback_key = self._token_feedback_config["key_configs"][0]["key"] + feedback_coro = run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + feedback_key, + ) + + output, feedback_token = await asyncio.gather(invoke_coro, feedback_coro) + else: + feedback_key = None + output = await invoke_coro + feedback_token = None if self._include_callback_events: callback_events = [ @@ -742,8 +847,17 @@ 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_tokens=[ + FeedbackToken( + key=feedback_key, + token_url=feedback_token.url, + expires_at=feedback_token.expires_at.isoformat(), + ) + ] + if feedback_token + else [], ), ), ) @@ -839,7 +953,31 @@ async def batch( ) ) - output = await self._runnable.abatch(inputs, config=final_configs) + run_ids = [config["run_id"] for config in final_configs] + + batch_coro = self._runnable.abatch(inputs, config=final_configs) + + feedback_key: Optional[str] + + # If there's feedback enabled, let's create a presigned feedback token + if self._token_feedback_enabled: + feedback_key = self._token_feedback_config["key_configs"][0]["key"] + feedback_coros = [ + run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + feedback_key, + ) + for run_id in run_ids + ] + response = await asyncio.gather(batch_coro, *feedback_coros) + output = response[0] + feedback_tokens = response[1:] + else: + feedback_key = None + output = await batch_coro + feedback_tokens = [] if self._include_callback_events: callback_events = [ @@ -854,13 +992,35 @@ async def batch( else: callback_events = [] + if feedback_tokens: + metadatas = [ + InvokeResponseMetadata( + run_id=run_id, + feedback_tokens=[ + FeedbackToken( + key=feedback_key, + token_url=feedback_token.url, + expires_at=feedback_token.expires_at.isoformat(), + ) + ], + ) + for run_id, feedback_token in zip(run_ids, feedback_tokens) + ] + else: + metadatas = [ + InvokeResponseMetadata(run_id=run_id, feedback_tokens=[]) + for run_id in run_ids + ] + obj = self._BatchResponse( output=self._serializer.dumpd(output), callback_events=callback_events, metadata=BatchResponseMetadata( - run_ids=[_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( @@ -921,8 +1081,7 @@ 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( request, @@ -930,36 +1089,30 @@ async def stream( endpoint="stream", 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"} - ), - } + run_id = config["run_id"] + except BaseException: + # Exceptions will be properly translated by default FastAPI middleware + # to either 422 (on input validation) or 500 internal server errors. + raise + + if self._token_feedback_enabled: + # Create task to create a presigned feedback token + feedback_key: Optional[str] = self._token_feedback_config["key_configs"][0][ + "key" + ] + feedback_coro = run_in_executor( + None, + self._langsmith_client.create_presigned_feedback_token, + run_id, + feedback_key, + ) + task: Optional[asyncio.Task] = asyncio.create_task(feedback_coro) + else: + feedback_key = None + task = None 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() @@ -969,16 +1122,19 @@ 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_key, feedback_token + ) yield { # EventSourceResponse expects a string for data @@ -1014,8 +1170,6 @@ 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, @@ -1023,56 +1177,39 @@ 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"} - ), - } - + run_id = config["run_id"] + except BaseException: + # Exceptions will be properly translated by default FastAPI middleware + # to either 422 (on input validation) or 500 internal server errors. + raise 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 + + 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.""" - 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: async for chunk in self._runnable.astream_log( input_, @@ -1106,6 +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._token_feedback_enabled: + if task is None: + raise AssertionError("Feedback token task was not created.") + if not task.done(): + continue + feedback_token = task.result() + yield _create_metadata_event( + run_id, feedback_key, feedback_token + ) + has_sent_metadata = True yield {"event": "end"} except BaseException: yield { @@ -1129,8 +1278,7 @@ 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( request, @@ -1138,44 +1286,36 @@ async def astream_events( endpoint="stream_events", 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"} - ), - } + run_id = config["run_id"] + except BaseException: + # Exceptions will be properly translated by default FastAPI middleware + # to either 422 (on input validation) or 500 internal server errors. + raise 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: + # 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_events() -> AsyncIterator[dict]: """Stream the output of the runnable.""" @@ -1184,14 +1324,7 @@ 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: async for event in self._runnable.astream_events( @@ -1219,6 +1352,18 @@ 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._token_feedback_enabled: + if task is None: + raise AssertionError("Feedback token task was not created.") + if not task.done(): + continue + feedback_token = task.result() + yield _create_metadata_event( + run_id, feedback_key, feedback_token + ) + has_sent_metadata = True yield {"event": "end"} except BaseException: yield { @@ -1416,6 +1561,38 @@ 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._token_feedback_enabled: + raise HTTPException( + 400, + ( + "The feedback endpoint is only accessible when LangSmith is " + "enabled on your LangServe server.\n " + "Please set the proper environment variables to enable LangSmith." + "In addition, please ensure that the token_feedback_config " + "has been properly specified when using add_routes or APIHandler." + ), + ) + + metadata = create_request.metadata or {} + metadata.update( + { + "from_langserve": True, + } + ) + + self._langsmith_client.create_feedback_from_token( + create_request.token_or_url, + score=create_request.score, + value=create_request.value, + comment=create_request.comment, + metadata=metadata, + ) + async def _check_feedback_enabled(self) -> None: """Check if feedback is enabled for the runnable. 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..9654446e 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 @@ -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/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/schema.py b/langserve/schema.py index ba9b085c..26392993 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): @@ -41,14 +42,35 @@ class SharedResponseMetadata(BaseModelV1): pass -class SingletonResponseMetadata(SharedResponseMetadata): - """ - Represents response metadata used for just single input/output LangServe +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. """ # Represents the parent run id for a given request run_id: UUID + feedback_tokens: List[FeedbackToken] = Field( + ..., + description=( + "Feedback tokens from the given run." + "These tokens allow a user to provide feedback on the run." + "Only available if server was configured to provide feedback tokens." + ), + ) + + +# Alias for backwards compatibility +# Keep here in case clients are somehow using this for type checking +# TODO(Deprecate): This should be deprecated in 2025. +SingletonResponseMetadata = InvokeResponseMetadata class BatchResponseMetadata(SharedResponseMetadata): @@ -57,17 +79,25 @@ 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): - """ - Shared information between create requests of feedback and feedback objects - """ + """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 @@ -83,18 +113,34 @@ class BaseFeedback(BaseModel): """Comment or explanation for the feedback.""" -class FeedbackCreateRequest(BaseFeedback): - """ - Represents a request that creates feedback for an individual run - """ +class FeedbackCreateRequestTokenBased(BaseModel): + """Shared information between create requests of feedback and feedback objects.""" - pass + token_or_url: Union[UUID, str] + """The associated run ID this feedback is logged for.""" + + score: Optional[Union[float, int, bool]] = None + """Value or score to assign the run.""" + + value: Optional[Union[float, int, bool, str, Dict]] = None + """The display value for the feedback if not a metric.""" + + comment: Optional[str] = None + """Comment or explanation for the feedback.""" + + correction: Optional[Dict] = None + """Correction for the run.""" + + metadata: Optional[Dict] = None + """Metadata for the feedback.""" + + +class FeedbackCreateRequest(BaseFeedback): + """Represents a request that creates feedback for an individual run""" 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 +156,7 @@ 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/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 11c3de20..df0c0108 100644 --- a/langserve/server.py +++ b/langserve/server.py @@ -6,24 +6,18 @@ FastAPI app or APIRouter. """ import weakref -from typing import ( - Any, - Literal, - Optional, - Sequence, - Type, - Union, -) +from typing import Any, Literal, Optional, Sequence, Type, 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 -from langserve.pydantic_v1 import ( - _PYDANTIC_MAJOR_VERSION, - PYDANTIC_VERSION, - BaseModel, +from langserve.api_handler import ( + APIHandler, + PerRequestConfigModifier, + TokenFeedbackConfig, + _is_hosted, ) +from langserve.pydantic_v1 import _PYDANTIC_MAJOR_VERSION, PYDANTIC_VERSION, BaseModel try: from fastapi import APIRouter, Depends, FastAPI, Request, Response @@ -39,69 +33,13 @@ # 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(): - GIGASERVE = 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(GIGASERVE) - for path in paths: - print( - f'{green("GIGASERVE:")} Playground for chain "{path or ""}/" is ' - f'live at:' - ) - print(f'{green("GIGASERVE:")} │') - print(f'{green("GIGASERVE:")} └──> {path}/playground/') - print(f'{green("GIGASERVE:")}') - print(f'{green("GIGASERVE:")} See all available routes at {app.docs_url}/') - - if _PYDANTIC_MAJOR_VERSION == 2: - print() - print(f'{orange("GIGASERVE:")} ', 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 @@ -130,6 +68,7 @@ def _register_path_for_app(app: Union[FastAPI, APIRouter], path: str) -> None: "stream_events", "playground", "feedback", + "token_feedback", "public_trace_link", "input_schema", "config_schema", @@ -181,6 +120,7 @@ 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: @@ -198,6 +138,7 @@ 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: @@ -214,6 +155,7 @@ 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 @@ -227,6 +169,76 @@ 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( + 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(): + GIGASERVE = 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(GIGASERVE) + for path in paths: + if endpoint_configuration.is_playground_enabled: + print( + f'{green("GIGASERVE:")} Playground for chain "{path or ""}/" is ' + f"live at:" + ) + print(f'{green("GIGASERVE:")} │') + print(f'{green("GIGASERVE:")} └──> {path}/playground/') + print(f'{green("GIGASERVE:")}') + print(f'{green("GIGASERVE:")} See all available routes at {app.docs_url}/') + + if _PYDANTIC_MAJOR_VERSION == 2: + print() + print(f'{orange("GIGASERVE:")} ', 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 @@ -243,6 +255,7 @@ 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, @@ -297,6 +310,16 @@ 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 @@ -358,6 +381,15 @@ 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, @@ -383,7 +415,7 @@ 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 @@ -406,6 +438,7 @@ 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, @@ -702,6 +735,12 @@ 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/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/langserve/validation.py b/langserve/validation.py index d79cdc80..dacba609 100644 --- a/langserve/validation.py +++ b/langserve/validation.py @@ -19,16 +19,12 @@ 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 +from langserve.schema import BatchResponseMetadata, InvokeResponseMetadata try: from pydantic.v1 import BaseModel, Field, create_model @@ -264,19 +260,19 @@ 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=( - SingletonResponseMetadata, + "metadata": ( + InvokeResponseMetadata, Field( ..., description=( @@ -285,7 +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 @@ -294,42 +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 diff --git a/poetry.lock b/poetry.lock index 464d2742..5c48afad 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"httpx-sse", "sse-starlette"] -client = ["httpx-sse"] +all = ["fastapi", "sse-starlette"] +client = ["fastapi"] server = ["fastapi", "sse-starlette"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "366274af0b39a30e7e1a853f034f73b72a8c4238a9ba7102879167282609e13f" +content-hash = "15872311f9a6a7bb44a41586eeaa79bcbbe052bcc4162bf9ff04f353e485e7fa" diff --git a/pyproject.toml b/pyproject.toml index b68d202d..363bd538 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "gigaserve" -version = "0.0.51" +version = "0.2.2" description = "" readme = "README.md" authors = ["LangChain", "GigaChain"] @@ -17,16 +17,15 @@ python = ">=3.8.1,<4.0" 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 = ">=1.1.13,<2" -gigachain = "^0.1.12" +pydantic = ">=1" +gigachain-core = ">=0.1,<0.3" orjson = ">=2" +pyproject-toml = "^0.0.10" [tool.poetry.group.dev.dependencies] jupyterlab = "^3.6.1" fastapi = ">=0.90.1" sse-starlette = "^1.3.0" -httpx-sse = ">=0.3.1" [tool.poetry.group.typing.dependencies] @@ -48,15 +47,14 @@ 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 = ["fastapi"] # 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_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_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..92c7118e 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, @@ -26,21 +28,36 @@ 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 langsmith.client import Client +from langsmith.schemas import FeedbackIngestToken from pytest import MonkeyPatch from pytest_mock import MockerFixture from typing_extensions import Annotated, TypedDict @@ -54,6 +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 @@ -276,73 +294,6 @@ 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: @@ -430,26 +381,18 @@ 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: @@ -505,14 +448,10 @@ 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: @@ -863,6 +802,31 @@ 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.""" @@ -2008,10 +1972,14 @@ 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 @@ -2112,6 +2080,7 @@ 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]}), @@ -2589,6 +2558,12 @@ async def test_astream_events_with_prompt_model_parser_chain( "name": "GenericFakeChatModel", "tags": ["seq:step:2"], }, + { + "data": {"chunk": AIMessageChunk(content="Hello", id=AnyStr())}, + "event": "on_chat_model_stream", + "name": "GenericFakeChatModel", + "tags": ["seq:step:2"], + }, { "data": {}, "event": "on_parser_start", @@ -2608,7 +2583,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content="Hello")}, + "data": {"chunk": AIMessageChunk(content=" ", id=AnyStr())}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2626,7 +2601,7 @@ async def test_astream_events_with_prompt_model_parser_chain( "tags": [], }, { - "data": {"chunk": AIMessageChunk(content=" ")}, + "data": {"chunk": AIMessageChunk(content="World!", id=AnyStr())}, "event": "on_chat_model_stream", "name": "GenericFakeChatModel", "tags": ["seq:step:2"], @@ -2643,12 +2618,6 @@ 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": { @@ -2664,7 +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() + ), ) ] ], @@ -2678,7 +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", @@ -2816,9 +2787,294 @@ 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()), + ] ) } + + +@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.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. + """ + 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, + token_feedback_config={ + "key_configs": [ + { + "key": "foo", + } + ] + }, + ) + + 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_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "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_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "token_url": "feedback_id", + } + ] + }, + { + "feedback_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "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_tokens": [ + { + "expires_at": "2023-01-01T00:00:00", + "key": "foo", + "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"] + + # 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", + } + + # 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.""" + 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) + + +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 ") + + +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, + } diff --git a/tests/unit_tests/test_streaming_utils.py b/tests/unit_tests/test_streaming_utils.py new file mode 100644 index 00000000..4fcf723c --- /dev/null +++ b/tests/unit_tests/test_streaming_utils.py @@ -0,0 +1,40 @@ +"""Test utilities for streaming.""" +import datetime +import json +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, feedback_key="key" + ) + data = json.loads(event.pop("data")) + assert event == { + "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", + } 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/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"] 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