feat: surface claude_agent provider in CLI + runner polish

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>

cli/utils.py

@@ -235,6 +235,7 @@ def select_llm_provider() -> tuple[str, str | None]:
         ("OpenAI", "openai", "https://api.openai.com/v1"),
         ("Google", "google", None),
         ("Anthropic", "anthropic", "https://api.anthropic.com/"),
+        ("Claude Agent (Max subscription, no API key)", "claude_agent", None),
         ("xAI", "xai", "https://api.x.ai/v1"),
         ("DeepSeek", "deepseek", "https://api.deepseek.com"),
         ("Qwen", "qwen", "https://dashscope.aliyuncs.com/compatible-mode/v1"),

main_claude_agent.py

@@ -0,0 +1,41 @@
+"""Full TradingAgents run using a Claude Max subscription (no API key).
+
+Requires being logged into Claude Code. Start small: one analyst, one debate
+round. The analyst tool loop takes ~1-2 min/analyst via the SDK, so a full
+4-analyst run will be ~10 min end-to-end.
+"""
+
+from dotenv import load_dotenv
+
+from tradingagents.default_config import DEFAULT_CONFIG
+from tradingagents.graph.trading_graph import TradingAgentsGraph
+
+load_dotenv()
+
+config = DEFAULT_CONFIG.copy()
+config["llm_provider"] = "claude_agent"
+config["deep_think_llm"] = "sonnet"   # or "opus" for slower / higher quality
+config["quick_think_llm"] = "sonnet"
+config["max_debate_rounds"] = 1
+config["max_risk_discuss_rounds"] = 1
+
+# YFinance — no API key needed.
+config["data_vendors"] = {
+    "core_stock_apis": "yfinance",
+    "technical_indicators": "yfinance",
+    "fundamental_data": "yfinance",
+    "news_data": "yfinance",
+}
+
+ta = TradingAgentsGraph(
+    # Start with one analyst to validate the pipeline before burning minutes
+    # on the full set. Expand to ["market", "social", "news", "fundamentals"]
+    # once this works.
+    selected_analysts=["market"],
+    debug=True,
+    config=config,
+)
+
+_, decision = ta.propagate("NVDA", "2025-10-15")
+print("\n=== DECISION ===")
+print(decision)

tradingagents/agents/analysts/_claude_agent_runner.py

@@ -6,9 +6,19 @@ Claude iteratively invokes the translated MCP tools and returns a final text
 report. No LangGraph ToolNode involvement — the analyst returns a terminal
 AIMessage with zero tool_calls, so the existing conditional edges route
 straight to the message-clear node.
+
+Debug logging: set ``TRADINGAGENTS_CLAUDE_AGENT_DEBUG=1`` to log SDK activity
+to ``/tmp/tradingagents_claude_agent.log`` (or set
+``TRADINGAGENTS_CLAUDE_AGENT_DEBUG=/path/to/file`` for a custom path). Tail it
+in a second terminal to watch progress in real time:
+
+    tail -f /tmp/tradingagents_claude_agent.log
 """
 
 import asyncio
+import os
+import time
+from datetime import datetime
 from typing import Any, Dict, List
 
 from langchain_core.messages import AIMessage, HumanMessage
@@ -17,23 +27,80 @@ from tradingagents.llm_clients.claude_agent_client import ChatClaudeAgent
 from tradingagents.llm_clients.mcp_tool_adapter import build_mcp_server
 
 
-def _build_user_prompt(state: Dict[str, Any]) -> str:
-    """Extract any human content from the incoming message sequence.
+def _debug_path() -> str | None:
+    val = os.environ.get("TRADINGAGENTS_CLAUDE_AGENT_DEBUG")
+    if not val:
+        return None
+    if val in ("1", "true", "yes", "on"):
+        return "/tmp/tradingagents_claude_agent.log"
+    return val
 
-    Existing analysts rely on LangGraph feeding tool-call round trips through
-    state["messages"]. On the SDK path we collapse the incoming messages into a
-    single user prompt — tool results are consumed by the SDK loop, not via
-    LangGraph, so only the human-authored content matters here.
+
+def _log(msg: str) -> None:
+    path = _debug_path()
+    if not path:
+        return
+    ts = datetime.now().strftime("%H:%M:%S.%f")[:-3]
+    try:
+        with open(path, "a") as f:
+            f.write(f"[{ts}] {msg}\n")
+    except OSError:
+        pass
+
+
+def _describe_message(msg: Any) -> str:
+    """One-line summary of an SDK message for the debug log."""
+    try:
+        name = type(msg).__name__
+        content = getattr(msg, "content", None)
+        if content is None:
+            return f"{name} (no content)"
+        if isinstance(content, list):
+            block_summary = []
+            for block in content:
+                bname = type(block).__name__
+                if hasattr(block, "text"):
+                    text = str(block.text)
+                    snippet = text[:80].replace("\n", " ")
+                    block_summary.append(f"{bname}[{len(text)} chars]: {snippet!r}")
+                elif hasattr(block, "name"):
+                    block_summary.append(f"{bname}(name={block.name!r})")
+                else:
+                    block_summary.append(bname)
+            return f"{name} with {len(content)} blocks: " + " | ".join(block_summary)
+        return f"{name}: {str(content)[:200]!r}"
+    except Exception as e:
+        return f"(failed to describe: {e!r})"
+
+
+def _build_user_prompt(state: Dict[str, Any]) -> str:
+    """Construct a concrete user request from graph state.
+
+    The initial graph state is ``messages = [("human", ticker)]`` — too terse
+    for Claude to act on unambiguously, which can leave the SDK session idle
+    waiting for clarification. Build an explicit request from
+    ``company_of_interest`` + ``trade_date`` so Claude always knows what to do.
+    Any additional human-authored content in the message stream is appended.
     """
-    parts: List[str] = []
+    ticker = state.get("company_of_interest", "")
+    trade_date = state.get("trade_date", "")
+    base = (
+        f"Produce the requested report for {ticker} as of {trade_date}. "
+        "Use the available tools to gather the data you need, then write the "
+        "final report. Do not ask clarifying questions — proceed directly."
+    ).strip()
+
+    extra: List[str] = []
     for msg in state.get("messages", []):
-        if isinstance(msg, HumanMessage):
-            content = msg.content
-            if isinstance(content, str) and content.strip():
-                parts.append(content.strip())
-    if not parts:
-        parts.append("Produce the requested report.")
-    return "\n\n".join(parts)
+        content = getattr(msg, "content", None)
+        if isinstance(msg, HumanMessage) and isinstance(content, str):
+            c = content.strip()
+            if c and c != ticker:
+                extra.append(c)
+
+    if extra:
+        return base + "\n\nAdditional context:\n" + "\n".join(extra)
+    return base
 
 
 async def _run(
@@ -50,7 +117,10 @@ async def _run(
         query,
     )
 
+    _log(f"[{server_name}] building MCP server with {len(lc_tools)} tools: "
+         f"{[t.name for t in lc_tools]}")
     server, allowed = build_mcp_server(server_name, lc_tools)
+    _log(f"[{server_name}] allowed_tools={allowed}")
 
     options = ClaudeAgentOptions(
         model=model,
@@ -66,12 +136,23 @@ async def _run(
         permission_mode="bypassPermissions",
     )
 
+    _log(f"[{server_name}] starting query(model={model!r}, prompt={user_prompt[:120]!r}...)")
+    start = time.monotonic()
+
     text_parts: List[str] = []
+    msg_count = 0
     async for msg in query(prompt=user_prompt, options=options):
+        msg_count += 1
+        elapsed = time.monotonic() - start
+        _log(f"[{server_name}] +{elapsed:.1f}s msg #{msg_count}: {_describe_message(msg)}")
         if isinstance(msg, AssistantMessage):
             for block in msg.content:
                 if isinstance(block, TextBlock):
                     text_parts.append(block.text)
+
+    elapsed = time.monotonic() - start
+    _log(f"[{server_name}] query complete after {elapsed:.1f}s, "
+         f"{msg_count} messages, {sum(len(t) for t in text_parts)} chars")
     return "\n".join(text_parts).strip()
 
 
@@ -85,15 +166,22 @@ def run_sdk_analyst(
 ) -> Dict[str, Any]:
     """Run an analyst through the Claude Agent SDK tool loop and build the node output."""
     user_prompt = _build_user_prompt(state)
-    report = asyncio.run(
-        _run(
-            system_prompt=system_prompt,
-            user_prompt=user_prompt,
-            lc_tools=lc_tools,
-            server_name=server_name,
-            model=llm.model,
+    _log(f"=== run_sdk_analyst start: server={server_name} report_field={report_field} "
+         f"ticker={state.get('company_of_interest')!r} date={state.get('trade_date')!r} ===")
+    try:
+        report = asyncio.run(
+            _run(
+                system_prompt=system_prompt,
+                user_prompt=user_prompt,
+                lc_tools=lc_tools,
+                server_name=server_name,
+                model=llm.model,
+            )
         )
-    )
+    except Exception as e:
+        _log(f"[{server_name}] EXCEPTION: {type(e).__name__}: {e}")
+        raise
+    _log(f"=== run_sdk_analyst done: {report_field}={len(report)} chars ===")
     return {
         "messages": [AIMessage(content=report)],
         report_field: report,

tradingagents/llm_clients/model_catalog.py

@@ -36,6 +36,16 @@ MODEL_OPTIONS: ProviderModeOptions = {
             ("Claude Sonnet 4.5 - Agents and coding", "claude-sonnet-4-5"),
         ],
     },
+    "claude_agent": {
+        "quick": [
+            ("Claude Sonnet (via Claude Code, Max subscription)", "sonnet"),
+            ("Claude Haiku (via Claude Code, Max subscription)", "haiku"),
+        ],
+        "deep": [
+            ("Claude Opus (via Claude Code, Max subscription)", "opus"),
+            ("Claude Sonnet (via Claude Code, Max subscription)", "sonnet"),
+        ],
+    },
     "google": {
         "quick": [
             ("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"),