Class: Raif::Agents::ReActAgent

Inherits:
Raif::Agent show all
Defined in:
app/models/raif/agents/re_act_agent.rb

Instance Attribute Summary

Attributes inherited from Raif::Agent

#on_conversation_history_entry

Instance Method Summary collapse

Methods inherited from Raif::Agent

#run!

Methods included from Concerns::HasAvailableModelTools

#available_model_tools_map

Methods included from Concerns::HasRequestedLanguage

#requested_language_name, #system_prompt_language_preference

Methods included from Concerns::HasLlm

#default_llm_model_key, #llm

Methods inherited from Raif::ApplicationRecord

table_name_prefix

Instance Method Details

#build_system_prompt ⇒ Object 



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# File 'app/models/raif/agents/re_act_agent.rb', line 13

def build_system_prompt
  <<~PROMPT.strip
    You are an intelligent assistant that follows the ReAct (Reasoning + Acting) framework to complete tasks step by step using tool calls.

    # Available Tools
    You have access to the following tools:
    #{available_model_tools_map.values.map(&:description_for_llm).join("\n---\n")}
    # Your Responses
    Your responses should follow this structure & format:
    <thought>Your step-by-step reasoning about what to do</thought>
    <action>JSON object with "tool" and "arguments" keys</action>
    <observation>Results from the tool, which will be provided to you</observation>
    ... (repeat Thought/Action/Observation as needed until the task is complete)
    <thought>Final reasoning based on all observations</thought>
    <answer>Your final response to the user</answer>

    # How to Use Tools
    When you need to use a tool:
    1. Identify which tool is appropriate for the task
    2. Format your tool call using JSON with the required arguments and place it in the <action> tag
    3. Here is an example: <action>{"tool": "tool_name", "arguments": {...}}</action>

    # Guidelines
    - Always think step by step
    - Use tools when appropriate, but don't use tools for tasks you can handle directly
    - Be concise in your reasoning but thorough in your analysis
    - If a tool returns an error, try to understand why and adjust your approach
    - If you're unsure about something, explain your uncertainty, but do not make things up
    - After each thought, make sure to also include an <action> or <answer>
    - Always provide a final answer that directly addresses the user's request

    Remember: Your goal is to be helpful, accurate, and efficient in solving the user's request.#{system_prompt_language_preference}
  PROMPT
end