agentfluent 0.1.0

Local-first agent analytics with prompt diagnostics

AgentFluent

Local-first agent analytics with prompt diagnostics. The tools that exist tell you what your agent did. This tool tells you what to change.

What Is This?

AgentFluent analyzes AI agent session data (Claude Code subagents + Agent SDK) to provide:

• Agent execution analytics -- token usage, cost tracking, tool call patterns, error rates
• Agent prompt diagnostics -- score system prompts against best practices, correlate agent behavior to prompt quality issues, generate specific improvement recommendations
• Prompt regression detection -- compare agent behavior across prompt versions
• Agent configuration assessment -- tool access audit, model selection analysis, hook coverage

Background

Born from CodeFluent research identifying a gap in the agent observability market: existing tools monitor agent execution (traces, latency, cost) but none evaluate agent quality or diagnose prompt-level issues from local session data.

See docs/AGENT_ANALYTICS_RESEARCH.md for the full market analysis and technical feasibility study.

Status

Early stage -- defining scope, architecture, and initial backlog.