Startup ideas from r/LLMDevs

Capture decision context and reasoning traces alongside execution logs to reconstruct why an agent made each choice, enabling fast post-mortem debugging and outcome analysis.

Secure credential injection system for AI agents that stores scoped API keys, grants time-limited access to named agents for specific tasks, and injects credentials only at runtime without exposing them to logs, model context, or commits.

Real-time panel showing exactly what context and conversation history the LLM currently has access to, with the ability to inspect, edit, and carry forward context across model switches and conversation branches.

Automatic multi-provider routing that keeps your AI application running during LLM provider outages by instantly routing requests to healthy backup providers.

Automatically chunks documents into semantically coherent pieces sized precisely to your LLM's token limits, testing strategies to find the optimal balance for your retrieval pipeline.