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hidai25/eval-view

v0.5.2 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-benchmark agent-evaluation agentic-ai ai-agents anthropic autogen
+12 more
cli crewai evaluation langchain-agent langgraph llm mcp openai-assistants pytest python regression-testing testing

Summary

AI summary

Production‑grade cold‑start test generation now supports GPT‑5 models.

Full changelog

What's New in v0.5.2

Cold-Start Test Generation (evalview generate)

  • Production-grade test generation from live agent probing — no manual YAML writing needed
  • Interactive probe budget and model selection
  • Multi-turn conversation tests generated as single cohesive test cases
  • Domain-aware draft generation with coherence filtering
  • --synth-model flag to override the synthesis model
  • Real-time elapsed timer during probe runs
  • Delta reporting: shows changes since last generation

Improved Reports

  • Model and token usage displayed in HTML reports
  • Judge cost tracking surfaced in check reports
  • Per-query model shown in trace cost breakdown
  • Cleaner baseline metadata and timeline in check reports
  • Turn-level details with clickable chevrons in multi-turn traces

Better Onboarding (evalview init)

  • Remembers active test suite for plain snapshot and check
  • Auto-approves generated drafts with scoped snapshot guidance
  • Detects local agents on /execute and /health endpoints
  • Refreshes stale config when a live agent is detected

Check Command Improvements

  • Shows last baseline snapshot timestamp
  • Auto-generates local HTML report on failures
  • Streamlined regression demo flow

Model Support

  • GPT-5 family model support (gpt-5.4, gpt-5.4-mini)
  • Interactive model selection from available providers

Multi-Turn & Monitoring

  • Multi-turn golden baselines with per-turn tool sequences
  • Cost/latency spike alerts in monitor mode
  • Batch edge-case expansion for test coverage

Bug Fixes

  • Fix multi-turn filter — different output is meaningful regardless of tools
  • Fix probe progress for skipped follow-ups
  • Predictable timing — 1 discovery, multi-turn counts against budget
  • Always show agent model in run output
  • Eliminate duplicate multi-turn tests
  • Silence Ollama JSON fallback warnings in normal runs

Docs

  • Trimmed README from 1420 to 274 lines — details moved to dedicated docs
  • Comparison docs and SEO content added

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About hidai25/eval-view

Regression testing framework for AI agents. Save golden baselines, detect behavioral drift, and block regressions in CI. Works with LangGraph, CrewAI, OpenAI, Claude, and any HTTP API.

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Related context

Beta — feedback welcome: [email protected]