5to1r 0.1.0

Observability and tracing for AI agents.

5to1r Python SDK

Observability and tracing for AI agents. Gain full visibility into your agent's decision-making process, tool usage, and LLM costs.

Installation

pip install 5to1r

Quickstart

1. Get your API Key from the 5to1r Dashboard.
2. Set it as an environment variable:

export FIVETOONE_API_KEY=your_sk_live_...

3. Instrument your agent:

from fivetoone import trace_agent, llm_call, tool_call

@trace_agent()
async def my_agent(query: str):
    # LLM Call
    llm_call(
        input_data=query,
        output_data="Thinking...",
        model_id="gpt-4o",
        cost_usd=0.002,
        latency_ms=800
    )
    
    # Tool Use
    tool_call(
        tool_name="web_search",
        input_data={"q": query},
        output_data="Found results...",
        latency_ms=1200
    )
    
    return "Final Answer"

Features

• @trace_agent Decorator: Automatically captures run lifecycle and errors.
• Granular Spans: Manually record LLMs, tools, and custom decisions.
• Cost Tracking: Monitor your infrastructure spend in real-time.
• Asynchronous & Synchronous Support: Works with async/await or standard functions.

License

MIT