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    "title": "Gemini 3.7 Flash High AI Query API",
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    "readmeSummary": "## Gemini 3.7 Flash High AI Query API\n\nThis Actor proxies natural-language prompts to Google's Gemini 3.7 High model and returns clean, structured answers optimized for downstream processing. It is edge-optimized for high-performance NLP: it evaluates and normalizes prompt formatting, routes queries to a Gemini research endpoint, parses markdown-style structures in responses, and emits structured response records containing a success indicator, the original query text, the generated answer text, an identifier for the model used, and response latency. The Actor supports large-context outputs (~4,000 characters / ~1,000 tokens) per request, and is oriented toward automated query/response workflows, content generation, and indexed knowledge extraction.\n\n## Use cases\n\n- AI chat pipelines and conversational agents  \n- Dynamic user content generation (summaries, explanations, descriptions)  \n- Document indexing and knowledge extraction from queries  \n- Automation assistants and workflow question-answering  \n- General knowledge and research question answering",
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