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https://gitee.com/wanwujie/deer-flow
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2e010a4619
Add a new "analysis" step type to handle reasoning and synthesis tasks that don't require code execution, addressing the concern that routing all non-search tasks to the coder agent was inappropriate. Changes: - Add ANALYSIS enum value to StepType in planner_model.py - Create analyst_node for pure LLM reasoning without tools - Update graph routing to route analysis steps to analyst agent - Add analyst agent to AGENT_LLM_MAP configuration - Create analyst prompts (English and Chinese) - Update planner prompts with guidance on choosing between analysis (reasoning/synthesis) and processing (code execution) - Change default step_type inference from "processing" to "analysis" when need_search=false Co-authored-by: Willem Jiang <143703838+willem-bd@users.noreply.github.com>
22 lines
551 B
Python
22 lines
551 B
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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from typing import Literal
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# Define available LLM types
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LLMType = Literal["basic", "reasoning", "vision", "code"]
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# Define agent-LLM mapping
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AGENT_LLM_MAP: dict[str, LLMType] = {
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"coordinator": "basic",
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"planner": "basic",
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"researcher": "basic",
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"analyst": "basic",
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"coder": "basic",
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"reporter": "basic",
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"podcast_script_writer": "basic",
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"ppt_composer": "basic",
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"prose_writer": "basic",
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"prompt_enhancer": "basic",
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}
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