Credits of the image to Anthropic

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Overview

Parallelization allows LLMs to work simultaneously on a task and have their outputs aggregated programmatically. This workflow manifests in two key variations:
  • Sectioning: Breaking a task into independent subtasks run in parallel
  • Voting: Running the same task multiple times to get diverse outputs

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Examples in Latitude

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Sectioning

Content Generation with Guardrails
---
provider: openai
model: gpt-4.1
temperature: 0.7
---

<step as="content_generation">
  You are a creative content writer. Generate engaging, informative content based on the user's request.
  Focus on creating valuable, well-structured content that serves the user's needs.

  <user>
    Create content for: {{ content_topic }}
    Target audience: {{ target_audience }}
    Content type: {{ content_type }}
    Tone: {{ desired_tone }}
    Length: {{ target_length }}
  </user>
</step>

<step as="safety_screening" schema={{
  type: "object",
  properties: {
    is_safe: {
      type: "boolean",
      description: "Whether the content is safe and appropriate"
    },
    safety_score: {
      type: "number",
      minimum: 0,
      maximum: 10,
      description: "Safety score from 0 (unsafe) to 10 (completely safe)"
    },
    concerns: {
      type: "array",
      items: { type: "string" },
      description: "List of safety concerns if any"
    },
    recommendation: {
      type: "string",
      enum: ["approve", "revise", "reject"],
      description: "Recommendation for the content"
    }
  },
  required: ["is_safe", "safety_score", "recommendation"]
}}>
  You are a content safety specialist. Review the provided content for:
  - Inappropriate language or content
  - Potential harm or misinformation
  - Compliance with content policies
  - Professional standards

  Be thorough but fair in your assessment.

  <user>
    Review this content for safety and appropriateness:

    {{ content_generation }}

    Provide a detailed safety assessment including:
    1. Overall safety evaluation
    2. Specific concerns (if any)
    3. Recommendation for next steps
  </user>
</step>

<step as="quality_assessment" schema={{
  type: "object",
  properties: {
    quality_score: {
      type: "number",
      minimum: 0,
      maximum: 10,
      description: "Overall quality score"
    },
    strengths: {
      type: "array",
      items: { type: "string" },
      description: "Content strengths"
    },
    improvements: {
      type: "array",
      items: { type: "string" },
      description: "Suggested improvements"
    },
    meets_requirements: {
      type: "boolean",
      description: "Whether content meets the specified requirements"
    }
  },
  required: ["quality_score", "meets_requirements"]
}}>
  You are a content quality specialist. Evaluate the content for:
  - Clarity and readability
  - Relevance to target audience
  - Structure and organization
  - Achievement of stated goals

  Focus on constructive, actionable feedback.

  <user>
    Evaluate the quality of this content:

    {{ content_generation }}

    Original requirements:
    - Topic: {{ content_topic }}
    - Audience: {{ target_audience }}
    - Type: {{ content_type }}
    - Tone: {{ desired_tone }}
    - Length: {{ target_length }}

    Provide detailed quality assessment and suggestions for improvement.
  </user>
</step>

You are a content coordinator. Based on the parallel assessments, provide a final recommendation and any necessary revisions.

<user>
  Content Review Summary:

  Original Content:
  {{ content_generation }}

  Safety Assessment:
  - Safe: {{ safety_screening.is_safe }}
  - Safety Score: {{ safety_screening.safety_score }}/10
  - Concerns: {{ safety_screening.concerns }}
  - Recommendation: {{ safety_screening.recommendation }}

  Quality Assessment:
  - Quality Score: {{ quality_assessment.quality_score }}/10
  - Meets Requirements: {{ quality_assessment.meets_requirements }}
  - Strengths: {{ quality_assessment.strengths }}
  - Improvements: {{ quality_assessment.improvements }}

  Based on these parallel assessments, provide:
  1. Final recommendation (approve/revise/reject)
  2. If revision needed, provide specific guidance
  3. Summary of next steps

  {{ if safety_screening.recommendation == "reject" or safety_screening.safety_score < 7 }}
    Note: Content has safety concerns that must be addressed.
  {{ endif }}

  {{ if quality_assessment.quality_score < 7 or not quality_assessment.meets_requirements }}
    Note: Content quality needs improvement to meet requirements.
  {{ endif }}
</user>

​
Voting

Code Security Review
---
provider: openai
model: gpt-4o
temperature: 0.3
---

<step as="security_review_1" schema={{
  type: "object",
  properties: {
    vulnerabilities_found: {
      type: "boolean",
      description: "Whether security vulnerabilities were found"
    },
    severity_level: {
      type: "string",
      enum: ["none", "low", "medium", "high", "critical"],
      description: "Highest severity level found"
    },
    issues: {
      type: "array",
      items: {
        type: "object",
        properties: {
          type: { type: "string" },
          severity: { type: "string" },
          description: { type: "string" },
          line_numbers: { type: "array", items: { type: "number" } }
        }
      },
      description: "List of security issues found"
    },
    confidence: {
      type: "number",
      minimum: 0,
      maximum: 1,
      description: "Confidence in the security assessment"
    }
  },
  required: ["vulnerabilities_found", "severity_level", "confidence"]
}}>
  You are a security expert specializing in input validation and injection attacks. Review the code for:
  - SQL injection vulnerabilities
  - Cross-site scripting (XSS) risks
  - Input validation issues
  - Authentication and authorization flaws

  Be thorough and specific in your analysis.

  <user>
    Review this code for security vulnerabilities:

    {{ code_language }}
    {{ code_content }}

    Focus particularly on input validation, injection attacks, and authentication issues.
    Provide specific line numbers and detailed explanations for any issues found.
  </user>
</step>

<step as="security_review_2" schema={{
  type: "object",
  properties: {
    vulnerabilities_found: {
      type: "boolean",
      description: "Whether security vulnerabilities were found"
    },
    severity_level: {
      type: "string",
      enum: ["none", "low", "medium", "high", "critical"],
      description: "Highest severity level found"
    },
    issues: {
      type: "array",
      items: {
        type: "object",
        properties: {
          type: { type: "string" },
          severity: { type: "string" },
          description: { type: "string" },
          line_numbers: { type: "array", items: { type: "number" } }
        }
      },
      description: "List of security issues found"
    },
    confidence: {
      type: "number",
      minimum: 0,
      maximum: 1,
      description: "Confidence in the security assessment"
    }
  },
  required: ["vulnerabilities_found", "severity_level", "confidence"]
}}>
  You are a security expert specializing in cryptography and data protection. Review the code for:
  - Weak encryption or hashing
  - Insecure data storage
  - Privacy violations
  - Cryptographic vulnerabilities

  Focus on data protection and cryptographic security.

  <user>
    Review this code for security vulnerabilities:

    {{ code_language }}
    {{ code_content }}

    Focus particularly on cryptography, data protection, and privacy concerns.
    Provide specific line numbers and detailed explanations for any issues found.
  </user>
</step>

<step as="security_review_3" schema={{
  type: "object",
  properties: {
    vulnerabilities_found: {
      type: "boolean",
      description: "Whether security vulnerabilities were found"
    },
    severity_level: {
      type: "string",
      enum: ["none", "low", "medium", "high", "critical"],
      description: "Highest severity level found"
    },
    issues: {
      type: "array",
      items: {
        type: "object",
        properties: {
          type: { type: "string" },
          severity: { type: "string" },
          description: { type: "string" },
          line_numbers: { type: "array", items: { type: "number" } }
        }
      },
      description: "List of security issues found"
    },
    confidence: {
      type: "number",
      minimum: 0,
      maximum: 1,
      description: "Confidence in the security assessment"
    }
  },
  required: ["vulnerabilities_found", "severity_level", "confidence"]
}}>
  You are a security expert specializing in application architecture and business logic. Review the code for:
  - Business logic flaws
  - Access control issues
  - Session management problems
  - API security concerns

  Focus on architectural and business logic security.

  <user>
    Review this code for security vulnerabilities:

    {{ code_language }}
    {{ code_content }}

    Focus particularly on business logic, access control, and architectural security concerns.
    Provide specific line numbers and detailed explanations for any issues found.
  </user>
</step>

You are a senior security architect. Consolidate the multiple security reviews into a comprehensive assessment.

<user>
Security Review Consolidation:

Code reviewed:
{{ code_language }}
{{ code_content }}

Review 1 (Input Validation & Injection Focus):
- Vulnerabilities found: {{ security_review_1.vulnerabilities_found }}
- Severity: {{ security_review_1.severity_level }}
- Confidence: {{ security_review_1.confidence }}
- Issues: {{ security_review_1.issues }}

Review 2 (Cryptography & Data Protection Focus):
- Vulnerabilities found: {{ security_review_2.vulnerabilities_found }}
- Severity: {{ security_review_2.severity_level }}
- Confidence: {{ security_review_2.confidence }}
- Issues: {{ security_review_2.issues }}

Review 3 (Architecture & Business Logic Focus):
- Vulnerabilities found: {{ security_review_3.vulnerabilities_found }}
- Severity: {{ security_review_3.severity_level }}
- Confidence: {{ security_review_3.confidence }}
- Issues: {{ security_review_3.issues }}

Based on these three specialized security reviews, provide:

1. **Consolidated Security Assessment**:
   - Overall security rating
   - Highest priority issues
   - Common themes across reviews

2. **Voting Analysis**:
   - Issues identified by multiple reviewers (high confidence)
   - Issues identified by single reviewers (require further investigation)
   - Consensus on severity levels

3. **Recommendations**:
   - Immediate actions required
   - Priority order for addressing issues
   - Additional security measures to consider

4. **Next Steps**:
   - Code changes needed
   - Further testing recommendations
   - Deployment security considerations
This pattern is particularly effective when you need either speed (through parallelization) or confidence (through multiple expert opinions), and when the cost of additional LLM calls is justified by the improved quality or reduced risk.