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Gemini Tools

Gemini Generate Content

Generates text content or speech audio from prompts using Gemini models. Supports text generation models (Gemini Flash, Pro) and text-to-speech models with configurable parameters. Generated text is nested at results[i].response.data.text. Output may be wrapped in markdown fence…

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Use Gemini Generate Content

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Inputs

  • modelstring
    Model to use for generation. Text generation models: 'gemini-2.5-flash' (default, fast & efficient), 'gemini-2.5-pro' (advanced reasoning), 'gemini-2.0-flash' (previous generation), 'gemini-2.0-flash-lite' (cost-optimized). Text-to-speech models: 'gemini-2.5-flash-preview-tts' (…
  • top_kinteger
    Top-k sampling parameter
  • top_pnumber
    Nucleus sampling parameter (0.0 to 1.0)
  • promptstring
    Required
    REQUIRED. The text prompt for content generation. This field must be provided. Example: 'Write a short poem about the ocean' or 'Explain quantum computing in simple terms'. For TTS models, include style instructions in the prompt (e.g., 'Say cheerfully: Hello!').
  • voice_namestring
    Available prebuilt voices for text-to-speech generation. Complete list of 30 official Gemini TTS voices as documented at: https://ai.google.dev/gemini-api/docs/speech-generation
  • temperaturenumber
    Controls randomness (0.0 to 2.0)
  • stop_sequencesarray
    Sequences where generation should stop
  • safety_settingsarray
    Safety filter settings
  • max_output_tokensinteger
    Maximum number of tokens to generate If response finishReason='MAX_TOKENS', output was truncated; narrow prompt scope or increase this value and regenerate.
  • system_instructionstring
    System instruction to guide the model's behavior

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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