LangWatch
UnknownSimulation-based platform for AI agent testing, evaluation, observability, and governance to improve production reliability.
Informações da ferramenta
O que é LangWatch?
LangWatch is a simulation-based platform that helps teams test and evaluate complex AI agents with realistic simulations, LLM evaluations, full-trace observability, red teaming, and governance so agents can be shipped as reliable production systems.
Recursos principais
Agent simulations
Run realistic text and voice user scenarios against agents locally and in CI to catch issues before production, including scenario writing from plain language in the editor.
LLM evaluation
Score single outputs or full conversations offline and in production using LLM-as-a-judge, custom code, workflows, pairwise comparison, and multimodal evaluation.
LLM observability
OpenTelemetry-native tracing of every agent step, token, cost, and latency with fast search, custom views, topic clustering, and multiple visualization modes.
AI governance
Govern models, keys, and tools with virtual keys, budgets, routing policies, and a full audit trail.
LLM red-teaming
Adversarial simulations that probe for jailbreaks, policy breaks, and unsafe tool calls before users encounter them.
Prompt management
Version, deploy, and A/B test prompts as code with full history and GitHub sync.
Voice AI testing
Test and simulate voice AI agents at scale before they interact with customers.
Tool, skill, and MCP tracing
Trace every tool call, skill, and MCP server, with mocking or fixtures for deterministic simulation runs.
Flexible deployment
Run in cloud, self-hosted, or hybrid environments with enterprise security controls.
Casos de uso
- #1
Pre-production agent simulation
Simulate real users in text and voice to exercise many agent paths and catch failures before production.
- #2
Continuous agent testing in CI
Run the same scenarios locally while developing and on every pull request without separate setup.
- #3
Safety and security red teaming
Use adversarial simulations to uncover jailbreaks, policy violations, and unsafe tool use.
- #4
Production quality monitoring
Evaluate live traffic, capture quality signals, and monitor cost, latency, and traces in production.
- #5
Spec-driven agent improvement loops
Turn requirements into automated agent tests, then iterate from specs to simulations to agent improvements.
- #6
Reproduce production issues
Convert a production trace into a simulation to validate fixes before redeploying.
- #7
Coding agent usage tracking
Track full trace history and token spend for Claude Code, Codex, and other coding agents.
Planos de preços
Official site links to a Pricing page and offers book-a-demo, sign-up, and self-host options, but specific plans, tiers, or prices are not stated in the available source snapshots.
Alternativas
Perguntas frequentes
What is LangWatch?
What core features does LangWatch offer?
Who is LangWatch designed for?
How does LangWatch support testing before production?
Can LangWatch be used in production monitoring?
What deployment options are available?
How is LangWatch priced?
Which integrations does LangWatch support?
LangWatch Contato e mídias sociais
- E-mail de suporte
- Site:
- GitHub
Comentários
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