Clayton Brown b14539d558 feat(024-generic-agent-interface-contrib): add agent benchmarking to compare outputs across LLM backends		2026-04-20 23:42:51 +10:00
..
analysts	feat(024-generic-agent-interface-contrib): implement BaseAgent for fundamentals, sentiment, news, technical analysts	2026-04-20 23:40:03 +10:00
managers	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
researchers	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
risk_mgmt	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
trader	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
utils	feat(024): define AgentInput and AgentOutput schemas	2026-04-20 23:28:33 +10:00
__init__.py	feat(024-generic-agent-interface-contrib): add agent benchmarking to compare outputs across LLM backends	2026-04-20 23:42:51 +10:00
base_agent.py	feat(024-generic-agent-interface-contrib): create BaseAgent abstract class with analyze(input) -> output contract	2026-04-20 23:38:22 +10:00
benchmark.py	feat(024-generic-agent-interface-contrib): add agent benchmarking to compare outputs across LLM backends	2026-04-20 23:42:51 +10:00
registry.py	feat(024-generic-agent-interface-contrib): add AgentRegistry for pluggable agent discovery	2026-04-20 23:41:13 +10:00