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Implements an auto-resolver that takes a MetaculusQuestion (specifically BinaryQuestion) and determines whether it should resolve to "yes" or "no" based on research.

Features:

  • Uses SmartSearcher, Perplexity, and optionally Hyperbrowser for research
  • Agent-based decision making with OpenAI Agents SDK
  • Configurable research and decision models
  • Returns ResolutionReport with confidence scores and evidence

Includes:

  • BinaryAutoResolver class with resolve() method
  • ResolutionReport and ResolutionDecision data models
  • Agent tool for use with OpenAI Agents SDK
  • Unit tests for data models and resolver

https://claude.ai/code/session_013SWrAV6WxgZNzN7Znq1uyE

Implements an auto-resolver that takes a MetaculusQuestion (specifically BinaryQuestion)
and determines whether it should resolve to "yes" or "no" based on research.

Features:
- Uses SmartSearcher, Perplexity, and optionally Hyperbrowser for research
- Agent-based decision making with OpenAI Agents SDK
- Configurable research and decision models
- Returns ResolutionReport with confidence scores and evidence

Includes:
- BinaryAutoResolver class with resolve() method
- ResolutionReport and ResolutionDecision data models
- Agent tool for use with OpenAI Agents SDK
- Unit tests for data models and resolver

https://claude.ai/code/session_013SWrAV6WxgZNzN7Znq1uyE
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3 participants