19 lines
985 B
Markdown
19 lines
985 B
Markdown
# Generic AI Trading Agent Interface
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# Upstream: TauricResearch/TradingAgents#264
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# Branch: contrib/024-generic-agent-interface (based on source/main)
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# Push: git push upstream contrib/024-generic-agent-interface
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# PR: claytonbrown/TradingAgents → TauricResearch/TradingAgents
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# Priority: P1
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## Problem
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No standardized input/output contract for agents. Hard to swap, compose, or benchmark agents.
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## Tasks
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- [x] 1. Define AgentInput schema: ticker, date, context (market data, news, fundamentals)
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- [x] 2. Define AgentOutput schema: rating (5-tier), confidence, price_targets, thesis, risk_factors
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- [x] 3. Create BaseAgent abstract class with analyze(input) -> output contract
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- [ ] 4. Refactor existing agents (fundamentals, sentiment, news, technical) to implement BaseAgent
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- [ ] 5. Create AgentRegistry for pluggable agent discovery
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- [ ] 6. Add agent benchmarking: compare outputs across different LLM backends
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- [ ] 7. Document interface for third-party agent contributions
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