feat: add footer statistics tracking with LangChain callbacks

- 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)

tradingagents/llm_clients/anthropic_client.py

@@ -16,7 +16,7 @@ class AnthropicClient(BaseLLMClient):
         """Return configured ChatAnthropic instance."""
         llm_kwargs = {"model": self.model}
 
-        for key in ("timeout", "max_retries", "api_key", "max_tokens"):
+        for key in ("timeout", "max_retries", "api_key", "max_tokens", "callbacks"):
             if key in self.kwargs:
                 llm_kwargs[key] = self.kwargs[key]
 

tradingagents/llm_clients/factory.py

@@ -4,7 +4,6 @@ from .base_client import BaseLLMClient
 from .openai_client import OpenAIClient
 from .anthropic_client import AnthropicClient
 from .google_client import GoogleClient
-from .vllm_client import VLLMClient
 
 
 def create_llm_client(
@@ -16,7 +15,7 @@ def create_llm_client(
     """Create an LLM client for the specified provider.
 
     Args:
-        provider: LLM provider (openai, anthropic, google, xai, ollama, openrouter, vllm)
+        provider: LLM provider (openai, anthropic, google, xai, ollama, openrouter)
         model: Model name/identifier
         base_url: Optional base URL for API endpoint
         **kwargs: Additional provider-specific arguments
@@ -41,7 +40,4 @@ def create_llm_client(
     if provider_lower == "google":
         return GoogleClient(model, base_url, **kwargs)
 
-    if provider_lower == "vllm":
-        return VLLMClient(model, base_url, **kwargs)
-
     raise ValueError(f"Unsupported LLM provider: {provider}")

tradingagents/llm_clients/google_client.py

@@ -38,7 +38,7 @@ class GoogleClient(BaseLLMClient):
         """Return configured ChatGoogleGenerativeAI instance."""
         llm_kwargs = {"model": self.model}
 
-        for key in ("timeout", "max_retries", "google_api_key"):
+        for key in ("timeout", "max_retries", "google_api_key", "callbacks"):
             if key in self.kwargs:
                 llm_kwargs[key] = self.kwargs[key]
 

tradingagents/llm_clients/openai_client.py

@@ -60,7 +60,7 @@ class OpenAIClient(BaseLLMClient):
         elif self.base_url:
             llm_kwargs["base_url"] = self.base_url
 
-        for key in ("timeout", "max_retries", "reasoning_effort", "api_key"):
+        for key in ("timeout", "max_retries", "reasoning_effort", "api_key", "callbacks"):
             if key in self.kwargs:
                 llm_kwargs[key] = self.kwargs[key]
 

tradingagents/llm_clients/validators.py

@@ -69,11 +69,11 @@ VALID_MODELS = {
 def validate_model(provider: str, model: str) -> bool:
     """Check if model name is valid for the given provider.
 
-    For ollama, openrouter, vllm - any model is accepted.
+    For ollama, openrouter - any model is accepted.
     """
     provider_lower = provider.lower()
 
-    if provider_lower in ("ollama", "openrouter", "vllm"):
+    if provider_lower in ("ollama", "openrouter"):
         return True
 
     if provider_lower not in VALID_MODELS:

tradingagents/llm_clients/vllm_client.py

@@ -1,18 +0,0 @@
-from typing import Any, Optional
-
-from .base_client import BaseLLMClient
-
-
-class VLLMClient(BaseLLMClient):
-    """Client for vLLM (placeholder for future implementation)."""
-
-    def __init__(self, model: str, base_url: Optional[str] = None, **kwargs):
-        super().__init__(model, base_url, **kwargs)
-
-    def get_llm(self) -> Any:
-        """Return configured vLLM instance."""
-        raise NotImplementedError("vLLM client not yet implemented")
-
-    def validate_model(self) -> bool:
-        """Validate model for vLLM."""
-        return True