Glassbrain helps teams visually debug LLM apps by capturing every OpenAI, Anthropic, and LangChain call and replaying failed runs.
Features
- Visual trace view for LLM call chains
- Capture OpenAI, Anthropic, and LangChain requests
- One-click replay of failed runs
- Pinpoint broken steps and input differences
- Fast validation of fixes
- Developer-focused debugging workflow
Use Cases
- Production troubleshooting for LLM apps
- Prompt and workflow error localization
- Replay of failed agent workflows
- Analysis of model-call anomalies
- Team collaboration on debugging
- Shorter AI feature fix cycles
FAQ
Glassbrain helps teams visually debug LLM apps by capturing every OpenAI, Anthropic, and LangChain call and replaying failed runs. Core capabilities include: Visual trace view for LLM call chains, Capture OpenAI, Anthropic, and LangChain requests, One-click replay of failed runs.
Common scenarios include: Production troubleshooting for LLM apps, Prompt and workflow error localization, Replay of failed agent workflows.
