Switch default LLM provider from OpenAI API to Anthropic Claude subscription

- Change default llm_provider from "openai" to "anthropic"
- Update default models: deep_think_llm to claude-sonnet-4-6, quick_think_llm to claude-haiku-4-5
- Update backend_url to Anthropic API endpoint
- Reorder provider lists to show Anthropic first in CLI and docs
- Update README examples and .env.example to reflect new defaults

https://claude.ai/code/session_01AbNbJYL7gHy47BQ9BJJTAv

.env.example

@@ -1,6 +1,6 @@
 # LLM Providers (set the one you use)
+ANTHROPIC_API_KEY=
 OPENAI_API_KEY=
 GOOGLE_API_KEY=
-ANTHROPIC_API_KEY=
 XAI_API_KEY=
 OPENROUTER_API_KEY=

README.md

@@ -122,9 +122,9 @@ pip install .
 TradingAgents supports multiple LLM providers. Set the API key for your chosen provider:
 
 ```bash
+export ANTHROPIC_API_KEY=...       # Anthropic (Claude) - default provider
 export OPENAI_API_KEY=...          # OpenAI (GPT)
 export GOOGLE_API_KEY=...          # Google (Gemini)
-export ANTHROPIC_API_KEY=...       # Anthropic (Claude)
 export XAI_API_KEY=...             # xAI (Grok)
 export OPENROUTER_API_KEY=...      # OpenRouter
 export ALPHA_VANTAGE_API_KEY=...   # Alpha Vantage
@@ -188,9 +188,9 @@ from tradingagents.graph.trading_graph import TradingAgentsGraph
 from tradingagents.default_config import DEFAULT_CONFIG
 
 config = DEFAULT_CONFIG.copy()
-config["llm_provider"] = "openai"        # openai, google, anthropic, xai, openrouter, ollama
+config["llm_provider"] = "anthropic"          # anthropic, openai, google, xai, openrouter, ollama
-config["deep_think_llm"] = "gpt-5.2"     # Model for complex reasoning
+config["deep_think_llm"] = "claude-sonnet-4-6" # Model for complex reasoning
-config["quick_think_llm"] = "gpt-5-mini" # Model for quick tasks
+config["quick_think_llm"] = "claude-haiku-4-5" # Model for quick tasks
 config["max_debate_rounds"] = 2
 
 ta = TradingAgentsGraph(debug=True, config=config)

cli/main.py

@@ -538,10 +538,10 @@ def get_user_selections():
     )
     selected_research_depth = select_research_depth()
 
-    # Step 5: OpenAI backend
+    # Step 5: LLM Provider
     console.print(
         create_question_box(
-            "Step 5: OpenAI backend", "Select which service to talk to"
+            "Step 5: LLM Provider", "Select which service to talk to"
         )
     )
     selected_llm_provider, backend_url = select_llm_provider()

cli/utils.py

@@ -263,12 +263,12 @@ def select_deep_thinking_agent(provider) -> str:
     return choice
 
 def select_llm_provider() -> tuple[str, str]:
-    """Select the OpenAI api url using interactive selection."""
+    """Select the LLM provider using interactive selection."""
-    # Define OpenAI api options with their corresponding endpoints
+    # Define LLM provider options with their corresponding endpoints
     BASE_URLS = [
+        ("Anthropic", "https://api.anthropic.com/"),
         ("OpenAI", "https://api.openai.com/v1"),
         ("Google", "https://generativelanguage.googleapis.com/v1"),
-        ("Anthropic", "https://api.anthropic.com/"),
         ("xAI", "https://api.x.ai/v1"),
         ("Openrouter", "https://openrouter.ai/api/v1"),
         ("Ollama", "http://localhost:11434/v1"),
@@ -291,7 +291,7 @@ def select_llm_provider() -> tuple[str, str]:
     ).ask()
     
     if choice is None:
-        console.print("\n[red]no OpenAI backend selected. Exiting...[/red]")
+        console.print("\n[red]No LLM provider selected. Exiting...[/red]")
         exit(1)
     
     display_name, url = choice

main.py

@@ -8,8 +8,8 @@ load_dotenv()
 
 # Create a custom config
 config = DEFAULT_CONFIG.copy()
-config["deep_think_llm"] = "gpt-5-mini"  # Use a different model
+config["deep_think_llm"] = "claude-sonnet-4-6"  # Use a different model
-config["quick_think_llm"] = "gpt-5-mini"  # Use a different model
+config["quick_think_llm"] = "claude-haiku-4-5"  # Use a different model
 config["max_debate_rounds"] = 1  # Increase debate rounds
 
 # Configure data vendors (default uses yfinance, no extra API keys needed)

tradingagents/default_config.py

@@ -8,10 +8,10 @@ DEFAULT_CONFIG = {
         "dataflows/data_cache",
     ),
     # LLM settings
-    "llm_provider": "openai",
+    "llm_provider": "anthropic",
-    "deep_think_llm": "gpt-5.2",
+    "deep_think_llm": "claude-sonnet-4-6",
-    "quick_think_llm": "gpt-5-mini",
+    "quick_think_llm": "claude-haiku-4-5",
-    "backend_url": "https://api.openai.com/v1",
+    "backend_url": "https://api.anthropic.com/",
     # Provider-specific thinking configuration
     "google_thinking_level": None,      # "high", "minimal", etc.
     "openai_reasoning_effort": None,    # "medium", "high", "low"