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README.md

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![version](https://img.shields.io/badge/version-1.4.0-blue)
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[One agent, two faces](#one-agent-two-faces)
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AutoCodeAgent fuses IntelliChain’s precise task decomposition with Deep Search’s autonomous web research, remarkably transforming complex challenges into innovative, actionable intellige.
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Discover how this unique Dual-Mode AI agent combines the power of code generation and Web + RAG Search to tackle any challenge with precision and efficiency.
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AutoCodeAgent fuses IntelliChain’s precise task decomposition with Deep Search’s autonomous web research, remarkably transforming complex challenges into innovative, actionable intelligence.
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Discover how this unique Dual-Mode AI agent combines the power of code generation and Deep Search to tackle any challenge with precision and efficiency.
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## IntelliChain sections
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## Video Demo And Prompts Examples
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Explore the full potential of Deep Search by watching these demonstration videos.
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**COMING SOON**
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[Deep Search Video Demo and Code Explanation](https://youtu.be/PUtM-9noII8)
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Some prompts examples to see the full potential of Deep Search:
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app.py

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user_id = data.get('user_id', None)
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chat_history = data['session_chat_history']
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depth = data.get('depth', 1)
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data_sources = ['websearch', 'rag']
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data_sources = ['websearch']
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planner = DeepSearchAgentPlanner(
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chat_history,
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is_interactive=True,

deep_search/planner.py

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JSON_CHAIN_EXAMPLE,
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DIPENDENT_AGENT_PROMPT,
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EGOT_GENERATION_PROMPT
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)
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)
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from models.models import call_model
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from .agent_session_manager import AgentSessionManager
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from .agent_data_model import AgentDataModel

deep_search/prompts.py

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""")
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EGOT_GENERATION_PROMPT = Template("""
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You are a world-class expert in analyzing and visualizing evolving chains of thought. Your task is to generate an evolving graph of thought (EGoT Graph) based on the following inputs:
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