Antirion routes, budgets, guards and records LLM calls from your apps to model providers through one open-source gateway.
NewPricing: see official site
AI tool
Respan
Respan routes requests to many AI models through one API, with monitoring, tracing and automated evals for agent runs.
What Respan does
It provides one endpoint for reaching many AI models and switching between them. It records every LLM call and agent step as spans in a trace, with input, output, latency and cost. It scores model outputs with evaluators on test sets and live production traffic.
Built for
- Engineering and product teams building AI agents
Key features
- Single API endpoint for over 1,000 models
- Automatic fallbacks when a model errors
- Response caching for repeat requests
- Budgets and rate limits per key, customer or org
- LLM judge, code check or human review evaluators
- Test cases sampled from production logs
- Alerts sent to Slack, email or webhook
- Tracing of LLM calls, tool runs and retrievals as spans
Pros
Pros
- Automatic fallbacks keep requests running when one model fails.
- Compliance certifications listed include ISO 27001, SOC 2, GDPR and HIPAA.
Where Respan is listed
Respan is listed under devops and infrastructure in AI coding tools.
See MCP servers for coding and Claude skills for coding.
DebuggingSoftware testing
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