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TradingAgents
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perf: switch to Ollama Cloud (deepseek-v3.1:671b-cloud) 

Use Ollama Cloud GPU inference instead of self-hosted CPU Ollama.
1-3s per call vs 2-15 minutes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
dtarkent2-sys 2026-02-24 12:18:08 +00:00
parent 512aff3b40
commit d1fa7b6004
1 changed files with 4 additions and 4 deletions
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8
app.py
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@ -68,10 +68,10 @@ class AnalyzeRequest(BaseModel):
def build_config():
"""Build TradingAgents config — uses Groq (OpenAI-compatible) by default."""
config = DEFAULT_CONFIG.copy()
config["llm_provider"] = os.getenv("LLM_PROVIDER", "anthropic")
config["deep_think_llm"] = os.getenv("DEEP_THINK_MODEL", "claude-sonnet-4-6")
config["quick_think_llm"] = os.getenv("QUICK_THINK_MODEL", "claude-haiku-4-5-20251001")
config["backend_url"] = os.getenv("LLM_BASE_URL", "https://api.anthropic.com/v1")
config["llm_provider"] = os.getenv("LLM_PROVIDER", "openai")
config["deep_think_llm"] = os.getenv("DEEP_THINK_MODEL", "deepseek-v3.1:671b-cloud")
config["quick_think_llm"] = os.getenv("QUICK_THINK_MODEL", "deepseek-v3.1:671b-cloud")
config["backend_url"] = os.getenv("LLM_BASE_URL", "https://ollama.com/v1")
config["max_debate_rounds"] = 1
config["max_risk_discuss_rounds"] = 1
config["data_vendors"] = {