ChatClaudeAgent is a plain Runnable rather than a BaseChatModel, so
LangChain's callback system never fired on_chat_model_start / on_llm_end
for it — leaving the CLI TUI stuck on "LLM: 0" and "Tokens: --" during
runs. Pop callbacks out of the LLM kwargs, invoke them manually around
each SDK call, and attach usage_metadata extracted from the SDK's
ResultMessage (input, output, total — including cached input) to the
returned AIMessage so downstream handlers pick it up.
Tool callbacks now also fire through the MCP wrapper: forward the
callback list into each wrapped LangChain tool's invocation config so
StatsCallbackHandler sees on_tool_start/on_tool_end when the SDK loop
calls a tool.
Verified via direct StatsCallbackHandler round-trip on both Shape A
(ChatClaudeAgent.invoke) and Shape B (run_sdk_analyst): llm_calls,
tool_calls, tokens_in, and tokens_out all increment as expected.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
CLI: add "Claude Agent (Max subscription, no API key)" to the provider
picker and register opus/sonnet/haiku model aliases so the CLI flow picks
up the provider registered in factory.py. No effort-level step since the
SDK doesn't expose that knob.
Analyst runner: build a concrete user request from company_of_interest +
trade_date instead of echoing the terse ("human", ticker) initial state —
the SDK was sitting idle on prompts like just "NVDA". Add opt-in file-
based debug logging (TRADINGAGENTS_CLAUDE_AGENT_DEBUG=1 → /tmp/...log)
for observability during long adaptive-thinking blocks.
Also adds main_claude_agent.py as a ready-to-run example for a Max-only
end-to-end invocation (verified 12-min NVDA run → SELL).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The 4 analysts (market, news, social, fundamentals) now detect a
ChatClaudeAgent LLM and dispatch to an SDK-native runner: LangChain @tool
functions are wrapped as in-process MCP tools via create_sdk_mcp_server, and
the SDK owns the iterative tool-calling loop. Claude returns the final report
in one call, so the analyst node outputs an AIMessage with no tool_calls and
the existing conditional edges route straight to the message-clear step.
Together with the Shape A provider this lets a Claude Max subscription drive
the full TradingAgents graph without an Anthropic API key. Other providers
continue to take the original bind_tools + LangGraph ToolNode path unchanged.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
LLMs (especially smaller models) sometimes pass multiple indicator
names as a single comma-separated string instead of making separate
tool calls. Split and process each individually at the tool boundary.
- Replace FinnHub with Alpha Vantage API in README documentation
- Implement comprehensive Alpha Vantage modules:
- Stock data (daily OHLCV with date filtering)
- Technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands, ATR)
- Fundamental data (overview, balance sheet, cashflow, income statement)
- News and sentiment data with insider transactions
- Update news analyst tools to use ticker-based news search
- Integrate Alpha Vantage vendor methods into interface routing
- Maintain backward compatibility with existing vendor system
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
Michael Yang
Yijia-Xiao
CadeYu
Ljx-007
luohy15
mirza-samad-ahmed-baig
Max Wong
Yijia Xiao
Geeta Chauhan
Edward Sun
Atharv Sabde
maxer137