- Restore alpha_vantage.py facade with explicit re-exports and __all__
- Restore agent_utils.py tool facade imports and expand __all__ to cover
all public names (prevents auto-fixer stripping re-exports in future)
- Consolidate fragmented per-function import blocks in interface.py into
single blocks; add combine-as-imports = true to ruff isort config
- Enable F403, F405, F841 in Ruff (remove from ignore list) and fix all
resulting violations: replace star imports in cli/main.py, setup.py,
and trading_graph.py with explicit imports; drop unused live/decision
assignments
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add effort parameter (high/medium/low) for Claude 4.5+ and 4.6 models,
consistent with OpenAI reasoning_effort and Google thinking_level.
Also add content normalization for Anthropic responses.
InvestDebateState was missing bull_history, bear_history, judge_decision.
RiskDebateState was missing aggressive_history, conservative_history,
neutral_history, latest_speaker, judge_decision. This caused KeyError
in _log_state() and reflection, especially with edge-case config values.
Prevents UnicodeEncodeError on Windows where the default encoding
(cp1252/gbk) cannot handle Unicode characters in LLM output.
Closes#77, closes#114, closes#126, closes#215, closes#332
- Add StatsCallbackHandler for tracking LLM calls, tool calls, and tokens
- Integrate callbacks into TradingAgentsGraph and all LLM clients
- Dynamic agent/report counts based on selected analysts
- Fix report completion counting (tied to agent completion)