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TradingAgents/.kiro/specs/active/024-generic-agent-interface.../tasks.md

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Generic AI Trading Agent Interface

Upstream: TauricResearch/TradingAgents#264

Branch: contrib/024-generic-agent-interface (based on source/main)

Push: git push upstream contrib/024-generic-agent-interface

PR: claytonbrown/TradingAgents → TauricResearch/TradingAgents

Priority: P1

Problem

No standardized input/output contract for agents. Hard to swap, compose, or benchmark agents.

Tasks

  • 1. Define AgentInput schema: ticker, date, context (market data, news, fundamentals)
  • 2. Define AgentOutput schema: rating (5-tier), confidence, price_targets, thesis, risk_factors
  • 3. Create BaseAgent abstract class with analyze(input) -> output contract
  • 4. Refactor existing agents (fundamentals, sentiment, news, technical) to implement BaseAgent
  • 5. Create AgentRegistry for pluggable agent discovery
  • 6. Add agent benchmarking: compare outputs across different LLM backends
  • 7. Document interface for third-party agent contributions