# dlants-magenta.nvim

- repo: https://github.com/dlants/magenta.nvim
- commit: 5af1a2139a26a6a652bfa9a4b69d4b8f4c418e8f
- api style: anthropic
- runs: 2 (None with a reward)
- tasks tried: 1
- models: bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0

## Results by task

| task | runs | last reward | best reward | last tests |
|---|---|---|---|---|
| [aider_polyglot/polyglot_python_bowling](https://harnessreport.com/tasks/aider_polyglot/polyglot_python_bowling.md) | 2 | 0 |  | 3 failed, 28 passed |

## Runs

| run | task | verifier says | calls | seconds |
|---|---|---|---|---|
| [20260924T185619-dlants-magen-polyglot_python_bowling](https://harnessreport.com/runs/20260924T185619-dlants-magen-polyglot_python_bowling.md) | aider_polyglot/polyglot_python_bowling | reward 0 · 3 failed, 28 passed | 12 | 49 |
| [20260923T115538-dlants-magen-polyglot_python_bowling](https://harnessreport.com/runs/20260923T115538-dlants-magen-polyglot_python_bowling.md) | aider_polyglot/polyglot_python_bowling | reward 1 · 31 passed | 14 | 53 |

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Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp
