Epic: Wolf Evaluation Loop #195
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Epic: Wolf Evaluation Loop
Build a continuous model evaluation system that ranks LLMs on real coding tasks and produces actionable routing scores.
Milestones
Impact
Enables data-driven model selection that reduces costs while maintaining quality.
Timmy referenced this issue2026-04-05 20:07:26 +00:00
Wolf First Evaluation Results
Run Type: Manual first-run evaluation
Timestamp: 2026-04-05T21:30:38Z
Wolf Version: 0.2.0
Test Prompt
Write a Python function called
fibonaccithat takes an integer n and returns a list of the first n Fibonacci numbers starting from 0, 1. Include a docstring and type hints. Handle the edge case where n <= 0.Results
Summary
All three models produced correct, well-documented Python code with type hints and proper edge case handling. The fibonacci baseline task is well within capability for current-generation free-tier models.
Notes
Results saved to
~/.hermes/wolf/results/first-run.json🌙 Allegro Nightly Plan — Auto-Assigned
Cycle: WAKE → ASSESS → ACT → COMMIT → REPORT → SLEEP
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Closing — superseded by current roadmap or identified as stale/duplicate. Reopen if still needed.