Clayton Brown 18ac47f5d6 feat: generic AI trading agent interface (#264) ... Standardized input/output contract for all agents, enabling pluggable composition and benchmarking. - AgentInput/AgentOutput Pydantic schemas (5-tier rating, confidence, targets) - BaseAgent abstract class with analyze(input) -> output contract - AgentRegistry for pluggable agent discovery - Existing analysts refactored to implement BaseAgent - Agent benchmarking: compare outputs across different LLM backends Closes #264		2026-04-21 08:25:27 +10:00
..
agents	feat: generic AI trading agent interface (#264)	2026-04-21 08:25:27 +10:00
dataflows	fix: add missing pandas import in y_finance.py (#488)	2026-04-04 07:14:10 +00:00
graph	fix: use ~/.tradingagents/ for cache and logs, resolving Docker permission issue (#519)	2026-04-13 05:26:04 +00:00
llm_clients	feat: add DeepSeek, Qwen, GLM, and Azure OpenAI provider support	2026-04-13 07:12:07 +00:00
__init__.py	fix: set process-level UTF-8 default for cross-platform consistency	2026-03-22 23:42:37 +00:00
default_config.py	fix: use ~/.tradingagents/ for cache and logs, resolving Docker permission issue (#519)	2026-04-13 05:26:04 +00:00