Keywords AI now operates under the Respan brand as an LLM engineering platform for routing, tracing, evaluating, and optimizing AI application traffic. It combines a unified LLM gateway, observability, cost metrics, prompt/workflow evaluations, and deployment monitoring across providers such as OpenAI, Anthropic, OpenRouter, Groq, AWS Bedrock, and Google Vertex AI. SDK and framework integrations include Python, JS/TS, OpenAI SDK, Vercel AI SDK, LangChain, and LlamaIndex.
Features
- Unified LLM gateway
- Tracing and observability
- Prompt and workflow evaluations
- Cost and metric monitoring
- Multi-provider model routing
- Python and JS/TS SDK integrations
Use Cases
- Production monitoring for AI apps
- LLM cost governance
- Prompt and workflow regression evaluation
- Unified multi-model gateway access
- Agent trace debugging
- Model-provider switching and comparison
FAQ
Keywords AI now operates under the Respan brand as an LLM engineering platform for routing, tracing, evaluating, and optimizing AI application traffic. It combines a unified LLM gateway, observability, cost metrics, prompt/workflow evaluations, and deployment monitoring across providers such as OpenAI, Anthropic, OpenRouter, Groq, AWS Bedrock, and Google Vertex AI. SDK and framework integrations include Python, JS/TS, OpenAI SDK, Vercel AI SDK, LangChain, and LlamaIndex. Core capabilities include: Unified LLM gateway, Tracing and observability, Prompt and workflow evaluations.
Common scenarios include: Production monitoring for AI apps, LLM cost governance, Prompt and workflow regression evaluation.
