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Model Temperature

Temperature controls the randomness of AI model outputs. Adjusting this setting optimizes results for different tasks—from precise, deterministic code generation to creative brainstorming and architectural design.

What is Temperature?​

Temperature is a sampling parameter (typically between 0.0 and 2.0) that controls how deterministic or creative the AI model's output is:

  • Lower values (0.0 – 0.3): Make the output focused, deterministic, and reproducible. Essential for syntax accuracy, surgical diff generation, and test suite execution.
  • Moderate values (0.4 – 0.7): Provide a balance between adherence to instructions and exploratory planning.
  • Higher values (0.8 – 1.0+): Encourage diverse wording and creative suggestions, but can increase the likelihood of hallucinations in code.
Temperature and Code Generation

Temperature controls output sampling randomness, not model intelligence or codebase context.

  • Low Temperature (0.0): Guarantees consistent, predictable code syntax. Highly recommended for standard refactoring, patch generation, and API test execution.
  • Thinking-Enabled Models: Models with native reasoning (such as o3-mini or Claude 3.7 Sonnet extended thinking) lock temperature to 1.0 automatically as required by their internal reasoning engines.

Default Values in PostQode​

  • Standard Coding & Execution (0.0): PostQode uses a default temperature of 0.0 for coding and agent execution to maximize precision and avoid syntax errors.
  • Reasoning Models (0.6 / 1.0): DeepSeek R1 and reasoning models default to 0.6 (or fixed 1.0 for thinking models) to enable deep multi-step search.
  • Agent Mode (0.0 – 0.2): For writing precise, correct code, running terminal commands, and applying surgical diffs.
  • Plan Mode (0.2 – 0.4): For analyzing project structure, assessing trade-offs, and generating architectural plans.
  • Web Agent & QA (0.0 – 0.2): For deterministic browser element inspection and reproducible test assertion runs.
  • Product Strategy & Design (0.6 – 0.8): For creative user story generation, UI variant brainstorming, and exploratory discussions.

How to Adjust Temperature in PostQode​

  1. Open the PostQode Panel: Click the PostQode icon in the VS Code Side Bar.
  2. Open Settings: Click the gear icon () in the top-right corner.
  3. Find Temperature Control: In the Model Configuration tab, select any third-party provider (e.g. Anthropic, OpenAI, OpenRouter, etc.). Expand the Model Configuration / Parameters section.
  4. Enter Temperature: Type your desired numerical temperature (e.g. 0.0 for code generation or 0.3 for balanced planning).

Experimentation & Best Practices​

  1. Start with Defaults: Keep temperature at 0.0 for standard code edits, terminal commands, and test suites.
  2. Adjust Incrementally: Test subtle adjustments (e.g. 0.0 vs 0.2) if you want the model to propose alternative solutions.
  3. Reasoning Models: When using thinking-enabled models (o1, o3-mini, Claude Thinking), the temperature parameter is automatically managed by the model architecture.
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