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feat(models): add GPT-6 Sol and Luna and Claude Opus 5.5
- gpt-6-sol and gpt-6-luna are the new default deep and quick models - claude-opus-5-5 replaces claude-opus-5 in the picker; opus-5 and gpt-5.4-mini stay known as legacy IDs
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@@ -243,8 +243,8 @@ from tradingagents.default_config import DEFAULT_CONFIG
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config = DEFAULT_CONFIG.copy()
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config["llm_provider"] = "openai" # e.g. openai, google, anthropic, deepseek, groq, ollama; openai_compatible covers any OpenAI-compatible endpoint (vLLM, LM Studio, llama.cpp, ...)
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config["deep_think_llm"] = "gpt-5.6" # Model for complex reasoning
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config["quick_think_llm"] = "gpt-5.6-luna" # Model for quick tasks
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config["deep_think_llm"] = "gpt-6-sol" # Model for complex reasoning
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config["quick_think_llm"] = "gpt-6-luna" # Model for quick tasks
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config["max_debate_rounds"] = 2
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ta = TradingAgentsGraph(debug=True, config=config)
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@@ -343,7 +343,7 @@ Each cell is scored on realized alpha against the instrument's regional benchmar
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TradingAgents is LLM-driven, so two runs of the same ticker and date can differ. This is expected for a research tool built on language models, not a defect. The variation comes from a few distinct sources, and it helps to separate them.
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Language model sampling is non-deterministic. Even at a fixed temperature, providers do not guarantee byte-identical output across calls, and reasoning models (the default GPT-5.x family, and any thinking-mode model) vary the most because their internal reasoning is itself sampled.
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Language model sampling is non-deterministic. Even at a fixed temperature, providers do not guarantee byte-identical output across calls, and reasoning models (the default GPT-6 family, and any thinking-mode model) vary the most because their internal reasoning is itself sampled.
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Live data moves. News, StockTwits, and Reddit return different content as time passes, so a run today sees different inputs than a run last week even for the same historical trade date. Pin the analysis date to hold the price and indicator window fixed, but the social and news sources still reflect "now".
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