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TradingAgents
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adapt for llama server

This commit is contained in:
Ashish Jain 2026-04-12 15:57:48 -04:00
parent fd8cc324e1
commit 9109516f7e
2 changed files with 2 additions and 2 deletions
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2
tradingagents/default_config.py
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@ -11,7 +11,7 @@ DEFAULT_CONFIG = {
"llm_provider": "openai", "llm_provider": "openai",
"deep_think_llm": "qwen-35b", "deep_think_llm": "qwen-35b",
"quick_think_llm": "qwen-35b", "quick_think_llm": "qwen-35b",
"backend_url": "https://ai.ghosthouse.uk/v1/chat/completions", "backend_url": "https://ai.ghosthouse.uk/v1",
# Provider-specific thinking configuration # Provider-specific thinking configuration
"google_thinking_level": None, # "high", "minimal", etc. "google_thinking_level": None, # "high", "minimal", etc.
"openai_reasoning_effort": None, # "medium", "high", "low" "openai_reasoning_effort": None, # "medium", "high", "low"

2
tradingagents/llm_clients/openai_client.py
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@ -76,7 +76,7 @@ class OpenAIClient(BaseLLMClient):
# Native OpenAI: use Responses API for consistent behavior across # Native OpenAI: use Responses API for consistent behavior across
# all model families. Third-party providers use Chat Completions. # all model families. Third-party providers use Chat Completions.
if self.provider == "openai": if self.provider == "openai" and not self.base_url:
llm_kwargs["use_responses_api"] = True llm_kwargs["use_responses_api"] = True
return NormalizedChatOpenAI(**llm_kwargs) return NormalizedChatOpenAI(**llm_kwargs)