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Documentation Index

Fetch the complete documentation index at: https://docs.langsight.dev/llms.txt

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Setup

from langsight.sdk import LangSightClient
from langsight.integrations.pydantic_ai import langsight_tool

client = LangSightClient(
    url="http://localhost:8000",
    project_id="my-project",      # scope traces to a project
    redact_payloads=True,          # redact tool args/outputs — recommended if tool args contain PII
)

@langsight_tool(client=client, server_name="postgres-mcp")
async def query_database(sql: str) -> list[dict]:
    """Execute a SQL query against the database."""
    return await mcp_session.call_tool("query", {"sql": sql})

# Use query_database as a Pydantic AI tool — all calls traced automatically
The @langsight_tool decorator wraps any async function, records start/end time and success/error/timeout status, and sends a span — while preserving the original function name and signature.