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|`llm`|`"gpt-4o-2024-11-20"`| LLM for general use including metadata inference (see Docs.aadd) and answer generation (see Docs.aquery and gen_answer tool). |
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|`llm`|`"claude-sonnet-4-5-20250929"`| LLM for general use including metadata inference (see Docs.aadd) and answer generation (see Docs.aquery and gen_answer tool). |
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|`llm_config`|`None`| Optional configuration for `llm`. |
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|`summary_llm`|`"gpt-4o-2024-11-20"`| LLM for creating contextual summaries (see Docs.aget_evidence and gather_evidence tool). |
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|`summary_llm`|`"claude-sonnet-4-5-20250929"`| LLM for creating contextual summaries (see Docs.aget_evidence and gather_evidence tool). |
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|`summary_llm_config`|`None`| Optional configuration for `summary_llm`. |
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|`embedding`|`"text-embedding-3-small"`| Embedding model for embedding text chunks when adding papers. |
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|`embedding_config`|`None`| Optional configuration for `embedding`. |
@@ -944,7 +944,7 @@ will return much faster than the first query and we'll be certain the authors ma
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|`prompt.summary_json_system`|`summary_json_system_prompt`| System prompt for JSON summaries. |
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|`prompt.context_outer`|`CONTEXT_OUTER_PROMPT`| Prompt for how to format all contexts in generate answer. |
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|`prompt.context_inner`|`CONTEXT_INNER_PROMPT`| Prompt for how to format a single context in generate answer. Must contain 'name' and 'text' variables. |
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|`agent.agent_llm`|`"gpt-4o-2024-11-20"`| LLM inside the agent making tool selections. |
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|`agent.agent_llm`|`"claude-sonnet-4-5-20250929"`| LLM inside the agent making tool selections. |
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|`agent.agent_llm_config`|`None`| Optional configuration for `agent_llm`. |
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|`agent.agent_type`|`"ToolSelector"`| Type of agent to use. |
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|`agent.agent_config`|`None`| Optional kwarg for AGENT constructor. |
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