hedging8563
UserAgent skills for TokenLab API integration, model picking, native endpoints, cost routing, and OpenAI-compatible migration
Categories
Indexed Skills (5)
tokenlab-api-integration
集成 TokenLab（历史名 LemonData）AI API：Chat、Responses、Anthropic Messages、Gemini、图像/视频/音乐/3D、TTS/STT、files、embeddings、rerank 与异步任务。按公开模型契约选择原生端点并生成 Python/JavaScript/Go/PHP/cURL 代码。触发词：tokenlab、lemondata、API集成、接入模型、多媒体API、异步任务
tokenlab-cost-routing
Choose TokenLab models and fallback chains using public pricing, task fit, latency expectations, and native endpoint needs before writing production routing code.
tokenlab-model-picker
Pick TokenLab models for chat, coding, image, video, audio, embeddings, reranking, and translation by reading public model catalog signals before recommending concrete model IDs.
tokenlab-native-endpoints
Use TokenLab native endpoint families such as Responses, Anthropic Messages, Gemini generateContent, media, audio, embeddings, and translations when OpenAI-compatible chat is not the right contract.
tokenlab-openai-compatible-migration
Migrate OpenAI-compatible apps, SDKs, examples, and environment variables to TokenLab while preserving request semantics and adding live model discovery.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.