Tokenlab Api Integration
Integrates TokenLab chat, image, audio, video, and other API families into code with runnable examples, model discovery, public contract checks, and agent-first recovery paths. Use when the user wants to add TokenLab APIs to an app or script.
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 Openai Compatible Migration
Migrate OpenAI-compatible apps, SDKs, examples, and environment variables to TokenLab while preserving request semantics and adding live model discovery.
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.