LangWatch vs Respan
Updated March 27, 2026
Overview
Open-source LLMOps platform for testing, evaluating, and monitoring AI agents. Differentiated by multi-turn agent simulation testing.
Respan provides comprehensive LLM observability with real-time monitoring, tracing, and debugging for AI applications in production. It tracks prompts, completions, latency, cost, and quality metrics across all LLM providers, with built-in evaluation tools, prompt management, and alerting. Respan gives engineering teams full visibility into their AI stack from a single dashboard.
Key features
Core capabilities each platform advertises.
- Multi-turn agent simulation testing
- LLM evaluation with custom evaluators
- OpenTelemetry-native tracing
- Prompt & model management
- Dataset management from production traces
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Unique agent simulation testing via Scenario framework — enables multi-turn, stateful agent testing unmatched by LangSmith or Langfuse
- Fully open-source with MIT license and no feature gating on self-hosted deployments
- All-in-one platform combining tracing, evaluation, prompt management, and PII redaction
- Framework-agnostic with OpenTelemetry-native integration across all major agent frameworks
- Enterprise-ready with ISO 27001, SOC2, GDPR compliance, and on-prem deployment options
Cons
- Very small team (~5 employees) with only EUR 1M pre-seed — long-term viability less proven than well-funded competitors
- Smaller community and fewer tutorials compared to LangSmith or Langfuse ecosystems
- Self-hosting requires Kubernetes/Helm for production with known issues on reverse proxy deployments
- Only supports LLM-as-a-judge evaluations — no heuristic or rule-based evaluation options
Pros
- Unified observability across all LLM providers in one dashboard
- Real-time alerting for cost spikes, latency, and quality issues
- Built-in evaluation tools for automated quality scoring
- Prompt management with versioning and A/B testing
- Easy integration with popular AI frameworks
Cons
- Newer platform building out integrations with more frameworks
- Advanced evaluation features require configuration effort
- Smaller community compared to established observability tools
LangWatch or Respan — which should you choose?
Choose LangWatch if you wantChoose if you want
- Agent testing before deployment
- Hallucination detection
- Regression testing for LLM apps
- Production monitoring
- Prompt optimization
Choose Respan if you wantChoose if you want
Compare LangWatch and Respan on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.