LangInsight callback handler for LangChain - Monitor and trace your LangChain LLM applications
Project description
LangInsight LangChain Integration
LangChain integration for LangInsight observability platform.
Installation
pip install langinsight-langchain
Or with Poetry:
poetry add langinsight-langchain
Usage
from langchain_anthropic import ChatAnthropic
from langchain_core.prompts import ChatPromptTemplate
from langinsight_langchain import CallbackHandler
# Create the LangInsight callback handler
handler = CallbackHandler(
api_key="your-api-key",
endpoint="https://api.langinsight.io",
user_id="user-123",
session_id="session-456",
)
# Create your chain with LangInsight handler
prompt = ChatPromptTemplate.from_messages(["Tell me a joke about {animal}"])
model = ChatAnthropic(
model="claude-3-7-sonnet-20250219",
callbacks=[handler],
)
chain = prompt | model
response = chain.invoke({"animal": "bears"})
Environment Variables
You can also configure using environment variables:
import os
from langinsight_langchain import CallbackHandler
handler = CallbackHandler(
api_key=os.environ["LANGINSIGHT_API_KEY"],
endpoint=os.environ.get("LANGINSIGHT_ENDPOINT", "https://api.langinsight.io"),
user_id="user-123",
session_id="session-456",
)
Development
# Install dependencies
poetry install
# Run example
poetry run python examples/basic_usage.py
License
MIT
Project details
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