nanomon 0.2.0

Track LLM usage across DSPy program runs

Nanomon

Track LLM usage across DSPy program runs.

Installation

pip install nanomon

Quick Start

import dspy
from nanomon import NanomonRunContext

# Create context - that's it! No pricing or sink configuration needed
context = NanomonRunContext(default_tags=["production"])

# Instrument your LM
lm = dspy.LM(model="gpt-4o-mini")
dspy.settings.configure(lm=context.instrument_lm(lm))

# Track runs
with context.run(tags=["experiment-1"], metadata={"dataset": "qa"}):
    result = await context.react(my_module, question="What is 2+2?")

Features

• Track LLM token usage automatically
• Automatic cost calculation (handled by backend)
• Tool call tracking with @track_tool decorator
• DSPy module integration (ReAct, Predict, ChainOfThought)
• Zero configuration - just instantiate and go

Tool Tracking

from nanomon import track_tool, configure_tool_tracking

# Configure tool tracking (usually done once at startup)
configure_tool_tracking(context._sink)

@track_tool(name="web_search")
def search_web(query: str) -> str:
    # Your tool implementation
    return results

License

MIT