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Offering a uniform framework for assessing LLM responses based on individual or multiple criteria, delivering numeric ratings and descriptive feedback.
Offering a uniform framework for assessing LLM responses based on individual or multiple criteria, delivering numeric ratings and descriptive feedback.
Automate your code review process using various LLM providers to assess repository architecture and analyze code for security, performance, quality, and sustainability. Receive detailed reports outlining identified issues, strengths, and actionable recommendations.
Facilitate collaborative problem-solving and multi-perspective analysis by allowing multiple users to share and review responses to a common prompt using tools for submitting and retrieving responses based on TypeScript.
Easily compare responses from various LLM providers at once with a unified interface offered by the Model Context Protocol (MCP). Ideal for fact-checking, gaining diverse viewpoints, or assessing different model capabilities.