Built for AI engineers building & debugging autonomous agents
Stop debugging complex multi-agent reasoning loops with `print()` statements. Splyntra gives developers full execution graph timelines, exact token inspectors, prompt caching analytics, local replay, and automated CI regression testing.
Engineered for high-throughput autonomous agents
Every capability is built into the OpenTelemetry streaming pipeline with sub-millisecond ingestion overhead.
Developer-First Tracing & Span Waterfalls
See the exact prompt, model configuration, tool payload, and response output for every single reasoning step on an intuitive timeline.
- ✓Inspect input tokens, output tokens, reasoning tokens, and cached tokens
- ✓Latency breakdown highlighting whether bottlenecks are in LLM generation or tool APIs
- ✓Automatic masking of local environment secrets and API keys
1-Click Golden Dataset Curation & Eval
Turn tricky production edge cases into versioned test datasets in one click. Benchmark new prompt versions against previous baselines.
- ✓Test prompt iterations against golden test fixtures before deploying
- ✓LLM-as-a-judge scorers for semantic accuracy, tone, and tool validity
- ✓Run evaluations locally via `splyntra eval run --local`
Automated Pull Request Regression Gates
Catch accuracy drops, hallucination spikes, or latency regressions in CI/CD before code merges to main.
- ✓GitHub Actions integration with automated PR summary comments
- ✓Configurable pass/fail thresholds on accuracy and safety metrics
- ✓Historical benchmark tracking across Git commits and branches
Frequently Asked Questions
Can I use Splyntra during local development?▼
How easy is it to add Splyntra to my existing codebase?▼
Related Platform Features & Guides
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