mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
681 lines
20 KiB
Python
681 lines
20 KiB
Python
import importlib.metadata
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import logging
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import os
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import traceback
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import warnings
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from contextvars import ContextVar
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from typing import Any, Dict, List, Union, cast
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from uuid import UUID
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import requests
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from langchain_core.agents import AgentAction, AgentFinish
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from langchain_core.callbacks import BaseCallbackHandler
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from langchain_core.messages import BaseMessage
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from langchain_core.outputs import LLMResult
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from packaging.version import parse
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logger = logging.getLogger(__name__)
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DEFAULT_API_URL = "https://app.llmonitor.com"
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user_ctx = ContextVar[Union[str, None]]("user_ctx", default=None)
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user_props_ctx = ContextVar[Union[str, None]]("user_props_ctx", default=None)
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PARAMS_TO_CAPTURE = [
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"temperature",
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"top_p",
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"top_k",
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"stop",
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"presence_penalty",
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"frequence_penalty",
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"seed",
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"function_call",
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"functions",
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"tools",
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"tool_choice",
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"response_format",
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"max_tokens",
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"logit_bias",
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]
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class UserContextManager:
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"""Context manager for LLMonitor user context."""
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def __init__(self, user_id: str, user_props: Any = None) -> None:
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user_ctx.set(user_id)
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user_props_ctx.set(user_props)
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def __enter__(self) -> Any:
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pass
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def __exit__(self, exc_type: Any, exc_value: Any, exc_tb: Any) -> Any:
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user_ctx.set(None)
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user_props_ctx.set(None)
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def identify(user_id: str, user_props: Any = None) -> UserContextManager:
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"""Builds an LLMonitor UserContextManager
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Parameters:
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- `user_id`: The user id.
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- `user_props`: The user properties.
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Returns:
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A context manager that sets the user context.
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"""
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return UserContextManager(user_id, user_props)
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def _serialize(obj: Any) -> Union[Dict[str, Any], List[Any], Any]:
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if hasattr(obj, "to_json"):
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return obj.to_json()
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if isinstance(obj, dict):
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return {key: _serialize(value) for key, value in obj.items()}
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if isinstance(obj, list):
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return [_serialize(element) for element in obj]
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return obj
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def _parse_input(raw_input: Any) -> Any:
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if not raw_input:
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return None
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# if it's an array of 1, just parse the first element
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if isinstance(raw_input, list) and len(raw_input) == 1:
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return _parse_input(raw_input[0])
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if not isinstance(raw_input, dict):
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return _serialize(raw_input)
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input_value = raw_input.get("input")
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inputs_value = raw_input.get("inputs")
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question_value = raw_input.get("question")
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query_value = raw_input.get("query")
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if input_value:
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return input_value
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if inputs_value:
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return inputs_value
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if question_value:
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return question_value
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if query_value:
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return query_value
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return _serialize(raw_input)
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def _parse_output(raw_output: dict) -> Any:
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if not raw_output:
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return None
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if not isinstance(raw_output, dict):
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return _serialize(raw_output)
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text_value = raw_output.get("text")
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output_value = raw_output.get("output")
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output_text_value = raw_output.get("output_text")
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answer_value = raw_output.get("answer")
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result_value = raw_output.get("result")
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if text_value:
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return text_value
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if answer_value:
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return answer_value
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if output_value:
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return output_value
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if output_text_value:
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return output_text_value
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if result_value:
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return result_value
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return _serialize(raw_output)
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def _parse_lc_role(
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role: str,
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) -> str:
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if role == "human":
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return "user"
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else:
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return role
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def _get_user_id(metadata: Any) -> Any:
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if user_ctx.get() is not None:
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return user_ctx.get()
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metadata = metadata or {}
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user_id = metadata.get("user_id")
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if user_id is None:
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user_id = metadata.get("userId") # legacy, to delete in the future
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return user_id
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def _get_user_props(metadata: Any) -> Any:
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if user_props_ctx.get() is not None:
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return user_props_ctx.get()
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metadata = metadata or {}
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return metadata.get("user_props", None)
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def _parse_lc_message(message: BaseMessage) -> Dict[str, Any]:
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keys = ["function_call", "tool_calls", "tool_call_id", "name"]
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parsed = {"text": message.content, "role": _parse_lc_role(message.type)}
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parsed.update(
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{
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key: cast(Any, message.additional_kwargs.get(key))
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for key in keys
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if message.additional_kwargs.get(key) is not None
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}
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)
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return parsed
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def _parse_lc_messages(messages: Union[List[BaseMessage], Any]) -> List[Dict[str, Any]]:
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return [_parse_lc_message(message) for message in messages]
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class LLMonitorCallbackHandler(BaseCallbackHandler):
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"""Callback Handler for LLMonitor`.
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#### Parameters:
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- `app_id`: The app id of the app you want to report to. Defaults to
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`None`, which means that `LLMONITOR_APP_ID` will be used.
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- `api_url`: The url of the LLMonitor API. Defaults to `None`,
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which means that either `LLMONITOR_API_URL` environment variable
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or `https://app.llmonitor.com` will be used.
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#### Raises:
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- `ValueError`: if `app_id` is not provided either as an
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argument or as an environment variable.
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- `ConnectionError`: if the connection to the API fails.
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#### Example:
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```python
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from langchain_community.llms import OpenAI
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from langchain_community.callbacks import LLMonitorCallbackHandler
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llmonitor_callback = LLMonitorCallbackHandler()
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llm = OpenAI(callbacks=[llmonitor_callback],
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metadata={"userId": "user-123"})
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llm.predict("Hello, how are you?")
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```
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"""
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__api_url: str
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__app_id: str
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__verbose: bool
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__llmonitor_version: str
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__has_valid_config: bool
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def __init__(
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self,
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app_id: Union[str, None] = None,
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api_url: Union[str, None] = None,
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verbose: bool = False,
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) -> None:
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super().__init__()
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self.__has_valid_config = True
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try:
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import llmonitor
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self.__llmonitor_version = importlib.metadata.version("llmonitor")
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self.__track_event = llmonitor.track_event
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except ImportError:
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logger.warning(
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"""[LLMonitor] To use the LLMonitor callback handler you need to
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have the `llmonitor` Python package installed. Please install it
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with `pip install llmonitor`"""
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)
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self.__has_valid_config = False
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return
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if parse(self.__llmonitor_version) < parse("0.0.32"):
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logger.warning(
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f"""[LLMonitor] The installed `llmonitor` version is
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{self.__llmonitor_version}
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but `LLMonitorCallbackHandler` requires at least version 0.0.32
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upgrade `llmonitor` with `pip install --upgrade llmonitor`"""
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)
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self.__has_valid_config = False
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self.__has_valid_config = True
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self.__api_url = api_url or os.getenv("LLMONITOR_API_URL") or DEFAULT_API_URL
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self.__verbose = verbose or bool(os.getenv("LLMONITOR_VERBOSE"))
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_app_id = app_id or os.getenv("LLMONITOR_APP_ID")
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if _app_id is None:
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logger.warning(
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"""[LLMonitor] app_id must be provided either as an argument or
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as an environment variable"""
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)
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self.__has_valid_config = False
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else:
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self.__app_id = _app_id
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if self.__has_valid_config is False:
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return None
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try:
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res = requests.get(f"{self.__api_url}/api/app/{self.__app_id}")
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if not res.ok:
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raise ConnectionError()
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except Exception:
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logger.warning(
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f"""[LLMonitor] Could not connect to the LLMonitor API at
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{self.__api_url}"""
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)
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def on_llm_start(
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self,
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serialized: Dict[str, Any],
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prompts: List[str],
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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tags: Union[List[str], None] = None,
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metadata: Union[Dict[str, Any], None] = None,
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**kwargs: Any,
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) -> None:
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if self.__has_valid_config is False:
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return
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try:
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user_id = _get_user_id(metadata)
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user_props = _get_user_props(metadata)
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params = kwargs.get("invocation_params", {})
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params.update(
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serialized.get("kwargs", {})
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) # Sometimes, for example with ChatAnthropic, `invocation_params` is empty
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name = (
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params.get("model")
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or params.get("model_name")
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or params.get("model_id")
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)
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if not name and "anthropic" in params.get("_type"):
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name = "claude-2"
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extra = {
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param: params.get(param)
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for param in PARAMS_TO_CAPTURE
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if params.get(param) is not None
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}
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input = _parse_input(prompts)
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self.__track_event(
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"llm",
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"start",
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user_id=user_id,
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run_id=str(run_id),
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parent_run_id=str(parent_run_id) if parent_run_id else None,
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name=name,
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input=input,
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tags=tags,
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extra=extra,
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metadata=metadata,
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user_props=user_props,
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app_id=self.__app_id,
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)
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except Exception as e:
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warnings.warn(f"[LLMonitor] An error occurred in on_llm_start: {e}")
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def on_chat_model_start(
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self,
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serialized: Dict[str, Any],
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messages: List[List[BaseMessage]],
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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tags: Union[List[str], None] = None,
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metadata: Union[Dict[str, Any], None] = None,
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**kwargs: Any,
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) -> Any:
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if self.__has_valid_config is False:
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return
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try:
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user_id = _get_user_id(metadata)
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user_props = _get_user_props(metadata)
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params = kwargs.get("invocation_params", {})
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params.update(
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serialized.get("kwargs", {})
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) # Sometimes, for example with ChatAnthropic, `invocation_params` is empty
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name = (
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params.get("model")
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or params.get("model_name")
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or params.get("model_id")
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)
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if not name and "anthropic" in params.get("_type"):
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name = "claude-2"
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extra = {
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param: params.get(param)
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for param in PARAMS_TO_CAPTURE
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if params.get(param) is not None
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}
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input = _parse_lc_messages(messages[0])
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self.__track_event(
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"llm",
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"start",
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user_id=user_id,
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run_id=str(run_id),
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parent_run_id=str(parent_run_id) if parent_run_id else None,
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name=name,
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input=input,
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tags=tags,
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extra=extra,
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metadata=metadata,
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user_props=user_props,
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app_id=self.__app_id,
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)
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except Exception as e:
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logger.error(f"[LLMonitor] An error occurred in on_chat_model_start: {e}")
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def on_llm_end(
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self,
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response: LLMResult,
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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**kwargs: Any,
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) -> None:
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if self.__has_valid_config is False:
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return
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try:
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token_usage = (response.llm_output or {}).get("token_usage", {})
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parsed_output: Any = [
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_parse_lc_message(generation.message)
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if hasattr(generation, "message")
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else generation.text
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for generation in response.generations[0]
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]
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# if it's an array of 1, just parse the first element
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if len(parsed_output) == 1:
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parsed_output = parsed_output[0]
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self.__track_event(
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"llm",
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"end",
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run_id=str(run_id),
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parent_run_id=str(parent_run_id) if parent_run_id else None,
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output=parsed_output,
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token_usage={
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"prompt": token_usage.get("prompt_tokens"),
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"completion": token_usage.get("completion_tokens"),
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},
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app_id=self.__app_id,
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)
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except Exception as e:
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logger.error(f"[LLMonitor] An error occurred in on_llm_end: {e}")
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def on_tool_start(
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self,
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serialized: Dict[str, Any],
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input_str: str,
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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tags: Union[List[str], None] = None,
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metadata: Union[Dict[str, Any], None] = None,
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**kwargs: Any,
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) -> None:
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if self.__has_valid_config is False:
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return
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try:
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user_id = _get_user_id(metadata)
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user_props = _get_user_props(metadata)
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name = serialized.get("name")
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self.__track_event(
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"tool",
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"start",
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user_id=user_id,
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run_id=str(run_id),
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parent_run_id=str(parent_run_id) if parent_run_id else None,
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name=name,
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input=input_str,
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tags=tags,
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metadata=metadata,
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user_props=user_props,
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app_id=self.__app_id,
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)
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except Exception as e:
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logger.error(f"[LLMonitor] An error occurred in on_tool_start: {e}")
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def on_tool_end(
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self,
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output: str,
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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tags: Union[List[str], None] = None,
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**kwargs: Any,
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) -> None:
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if self.__has_valid_config is False:
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return
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try:
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self.__track_event(
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"tool",
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"end",
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run_id=str(run_id),
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parent_run_id=str(parent_run_id) if parent_run_id else None,
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output=output,
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app_id=self.__app_id,
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)
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except Exception as e:
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logger.error(f"[LLMonitor] An error occurred in on_tool_end: {e}")
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def on_chain_start(
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self,
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serialized: Dict[str, Any],
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inputs: Dict[str, Any],
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*,
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run_id: UUID,
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parent_run_id: Union[UUID, None] = None,
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tags: Union[List[str], None] = None,
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metadata: Union[Dict[str, Any], None] = None,
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**kwargs: Any,
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) -> Any:
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if self.__has_valid_config is False:
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return
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try:
|
|
name = serialized.get("id", [None, None, None, None])[3]
|
|
type = "chain"
|
|
metadata = metadata or {}
|
|
|
|
agentName = metadata.get("agent_name")
|
|
if agentName is None:
|
|
agentName = metadata.get("agentName")
|
|
|
|
if name == "AgentExecutor" or name == "PlanAndExecute":
|
|
type = "agent"
|
|
if agentName is not None:
|
|
type = "agent"
|
|
name = agentName
|
|
if parent_run_id is not None:
|
|
type = "chain"
|
|
|
|
user_id = _get_user_id(metadata)
|
|
user_props = _get_user_props(metadata)
|
|
input = _parse_input(inputs)
|
|
|
|
self.__track_event(
|
|
type,
|
|
"start",
|
|
user_id=user_id,
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
name=name,
|
|
input=input,
|
|
tags=tags,
|
|
metadata=metadata,
|
|
user_props=user_props,
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_chain_start: {e}")
|
|
|
|
def on_chain_end(
|
|
self,
|
|
outputs: Dict[str, Any],
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
output = _parse_output(outputs)
|
|
|
|
self.__track_event(
|
|
"chain",
|
|
"end",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
output=output,
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_chain_end: {e}")
|
|
|
|
def on_agent_action(
|
|
self,
|
|
action: AgentAction,
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
name = action.tool
|
|
input = _parse_input(action.tool_input)
|
|
|
|
self.__track_event(
|
|
"tool",
|
|
"start",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
name=name,
|
|
input=input,
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_agent_action: {e}")
|
|
|
|
def on_agent_finish(
|
|
self,
|
|
finish: AgentFinish,
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
output = _parse_output(finish.return_values)
|
|
|
|
self.__track_event(
|
|
"agent",
|
|
"end",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
output=output,
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_agent_finish: {e}")
|
|
|
|
def on_chain_error(
|
|
self,
|
|
error: BaseException,
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
self.__track_event(
|
|
"chain",
|
|
"error",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
error={"message": str(error), "stack": traceback.format_exc()},
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_chain_error: {e}")
|
|
|
|
def on_tool_error(
|
|
self,
|
|
error: BaseException,
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
self.__track_event(
|
|
"tool",
|
|
"error",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
error={"message": str(error), "stack": traceback.format_exc()},
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_tool_error: {e}")
|
|
|
|
def on_llm_error(
|
|
self,
|
|
error: BaseException,
|
|
*,
|
|
run_id: UUID,
|
|
parent_run_id: Union[UUID, None] = None,
|
|
**kwargs: Any,
|
|
) -> Any:
|
|
if self.__has_valid_config is False:
|
|
return
|
|
try:
|
|
self.__track_event(
|
|
"llm",
|
|
"error",
|
|
run_id=str(run_id),
|
|
parent_run_id=str(parent_run_id) if parent_run_id else None,
|
|
error={"message": str(error), "stack": traceback.format_exc()},
|
|
app_id=self.__app_id,
|
|
)
|
|
except Exception as e:
|
|
logger.error(f"[LLMonitor] An error occurred in on_llm_error: {e}")
|
|
|
|
|
|
__all__ = ["LLMonitorCallbackHandler", "identify"]
|