name: verifier
description: Multi-model consensus verification workflow with file-based chaining
version: "2.0"

settings:
  maxCost: 0.50

steps:
  # Parallel verification across 5 different models
  # Each model gets 10k tokens, saved to disk

  - name: verify_gpt5_mini
    tool: openai_brainstorm
    input:
      problem: |
        Verify the following claim or statement:
        ${query}

        Provide verification analysis including accuracy assessment, evidence, and confidence level.
      style: "systematic"
      quantity: 3
    saveToFile: true
    maxTokens: 10000
    output:
      variable: gpt5_mini_result

  - name: verify_gemini
    tool: gemini_analyze_text
    input:
      text: |
        Verify the accuracy and validity of this claim:

        ${query}

        Provide:
        1. Truth assessment (true/false/partially true/unverifiable)
        2. Supporting evidence
        3. Contradicting evidence
        4. Confidence level (0-100%)
      focus: "verification"
    saveToFile: true
    maxTokens: 10000
    output:
      variable: gemini_result

  - name: verify_grok
    tool: grok_code
    input:
      code: "${query}"
      task: "verify"
      requirements: |
        Analyze and verify this claim with:
        1. Factual accuracy check
        2. Logical consistency
        3. Evidence assessment
        4. Confidence score
    saveToFile: true
    maxTokens: 10000
    output:
      variable: grok_result

  - name: verify_qwen
    tool: qwen_coder
    input:
      problem: |
        Verify this technical claim or statement:

        ${query}

        Provide detailed verification including:
        - Technical accuracy
        - Code/logic correctness (if applicable)
        - Best practices alignment
        - Confidence rating
    saveToFile: true
    maxTokens: 10000
    output:
      variable: qwen_result

  - name: verify_perplexity
    tool: perplexity_reason
    input:
      query: |
        Verify with web search and reasoning:

        ${query}

        Check:
        1. Current factual accuracy (check latest sources)
        2. Expert consensus
        3. Recent developments
        4. Source reliability
    saveToFile: true
    maxTokens: 10000
    output:
      variable: perplexity_result

  # Executive Summary (using Gemini 2.5 Flash for 50k token context)
  - name: executive-summary
    tool: gemini_analyze_text
    input:
      text: |
        ${gpt5_mini_result}
        ${gemini_result}
        ${grok_result}
        ${qwen_result}
        ${perplexity_result}
      task: |
        Original Query: ${query}

        Analyze consensus from 5 verification models and create executive summary:

        ## Verification Summary
        - Overall Verdict: [True/False/Partially True/Unverifiable]
        - Consensus Level: [X/5 models agree]
        - Confidence: [0-100%]

        ## Model Verdicts
        [Brief summary of each model's verdict]

        ## Key Evidence
        [Supporting and contradicting evidence]

        ## Outliers & Disagreements
        [Any models that disagree and why]

        ## Final Recommendation
        [Should this claim be trusted? Why or why not?]

        Keep under 2000 words for Claude Code.
    maxTokens: 6000
    output:
      variable: verification_report

output:
  format: detailed