aniket-agentlens-sdk 0.1.0

Python tracing SDK for AgentLens, an open-source observability platform for AI agents.

AgentLens Python SDK

aniket-agentlens-sdk is the Python tracing SDK for AgentLens.

It lets another Python application instrument agent runs and steps with a small decorator-based API while sending trace data to a running AgentLens backend.

Install

pip install aniket-agentlens-sdk

Import path:

from agentlens import AgentLens, trace_agent, trace_step

The PyPI distribution name and the Python import name are intentionally different:

• install name: aniket-agentlens-sdk
• import name: agentlens

Quick Start

from agentlens import AgentLens, trace_agent, trace_step

AgentLens(
    api_key="al_sk_your_key",
    project_id="proj_your_project",
    endpoint="http://localhost:8000",
).configure()


@trace_step(type="tool_call", name="search_candidates")
def search_candidates(query: str) -> dict[str, object]:
    return {"matches": ["candidate_1", "candidate_2"], "query": query}


@trace_agent(name="candidate_screening_agent")
def run_agent(message: str) -> dict[str, object]:
    result = search_candidates(message)
    return {"message": "done", "result": result}

Runtime Flow

1. AgentLens(...).configure() sets the default SDK client.
2. @trace_agent creates a traced run.
3. @trace_step creates nested steps under the current run.
4. The SDK sends HTTP requests to the AgentLens backend.
5. The backend stores, masks, and analyzes the trace for display in the dashboard.

Requirements

• Python >=3.11
• A running AgentLens backend
• A valid AgentLens project_id
• A valid AgentLens ingestion API key

Links

• Repository: https://github.com/aniketgopal/agentlens
• Documentation: https://github.com/aniketgopal/agentlens/tree/main/docs