langwatch
LangWatch is an LLM engineering platform for testing, evaluating, observing, and governing AI agents through realistic simulations, traces, red-teaming, and prompt management to help teams ship reliable production agents.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Freemium from Not listed on site; contact sales or book a demo for details
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langwatch
LangWatch is an LLM engineering platform that provides agent simulation testing, LLM evaluation, observability, governance, and prompt management to help teams detect and fix issues before production. The platform runs realistic text and voice simulations, traces every agent step (including tool calls and tokens), supports adversarial red-teaming, and provides evaluation workflows (LLM-as-judge, custom code, UI and notebook tooling). It is aimed at engineering teams, AI architects, product leaders, and enterprises shipping AI to production and offers cloud, self-hosted, and hybrid deployments with enterprise security and compliance features.
LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications.
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Claim this listing for $29Key Features
Agentic AI Testing / Simulations
Run realistic text and voice simulations of user conversations and scenarios to test agents across many possible paths before production.
LLM Evaluation
Measure response quality and accuracy across single outputs or entire conversations using LLM judges, custom code, or full workflows; supports offline and live evaluations.
LLM Observability & Tracing
Trace every agent step, tool call, token, cost, and latency with full production visibility, search, filters, and custom views (waterfall, flame graph, topology, sequence).
AI Governance
Govern models, keys, and tools with virtual keys, budgets, routing policies, audit trails, RBAC, SCIM/SSO, audit logs and retention policies.
Prompt Management
Version, deploy, and A/B test prompts as code with history and GitHub sync; integrates prompt revisions into development workflows.
Voice AI Testing
Test and simulate voice AI agents at scale to validate behavior before exposing them to customers.
Red-teaming & Adversarial Testing
Run adversarial simulations to probe jailbreaks, policy breaks, and unsafe tool calls; includes a Judge that expands trace steps and explains verdicts.
Langy: Scenario & Automation
Langy converts PM goals into Scenario test plans, generates scenarios, runs simulations, scores with an audited rubric, and drafts PR-ready prompt revisions.
Integrations & SDKs
Works with existing agent frameworks and tooling, OpenTelemetry-native tracing, and provides SDKs (Python, TypeScript, Go) and platform integrations.
Deployment Options
Cloud SaaS, self-hosted (Docker, Kubernetes/Helm), hybrid deployment with data-plane-on-your-infra and control-plane options.
Pricing
Start free in 5 minutes (site advertises a free/self-serve option; no further free-tier details provided)
Managed / Cloud (SaaS)
Not listed on site; contact sales or book a demo for details- Managed multi-tenant SaaS · EU / US / UK / APAC
- Enterprise security controls and compliance
Self-hosted / Hybrid
Not listed on site; contact sales or book a demo for details- Self-host with Docker, Kubernetes/Helm or hybrid data/control plane
- Custom retention policies and SIEM integration
Use Cases
Pre-production agent testing
Simulate real user text and voice conversations to find failures and edge cases before agents are released to users.
Continuous evaluation and CI
Run the same scenarios locally and in CI to catch regressions on pull requests and keep tests consistent across development and deployment.
Red-teaming and safety validation
Perform adversarial simulations to uncover jailbreaks, unsafe tool calls, and policy violations prior to production exposure.
Observability and cost monitoring
Trace tokens, latency, and cost per span (including Claude Code and coding agents) to monitor production performance and spending.
Governance and compliance
Enforce who can touch data and models, use virtual keys with budgets and routing policies, audit trails and enterprise controls for procurement and security reviews.
Prompt iteration and shipping
Automatically turn failing scenarios into prompt revisions and PRs to accelerate iteration and keep PMs and devs aligned.
Integrations
OpenAI
Integration with OpenAI agent and models for testing and observability.
AWS Bedrock
Support for AWS Bedrock models and agents.
Azure OpenAI
Support for Azure OpenAI deployments.
Vertex AI
Support for Google Vertex AI models and agents.
LangChain / LangGraph
Integrations for common agent frameworks and orchestrators.
SDKs & Telemetry
Python, TypeScript, Go SDKs and OpenTelemetry-native tracing support for instrumentation.
Claude Code / Coding agents
Track Claude Code usage, tokens and cost for coding agents.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Book a demo or talk to an engineer to discuss deployment and security requirements (site offers 'Book a demo' and 'Talk to an engineer').
- 2 Step 2: Start with the free/self-serve option (site advertises 'start free in 5 minutes') or deploy self-hosted (advertised 'Self-host in 15 min').
- 3 Step 3: Add scenarios to local development and CI, instrument traces (OpenTelemetry-native), and begin running simulations and evaluations.
Support
Docs
Documentation and SDKs are listed on the site (Docs, SDKs).
Demo / Sales
Book a demo or talk to an engineer (site CTAs for 'Book a demo' and 'Talk to an engineer').
Status / Trust center
Site references a Trust center and Status page for operational and compliance information.
Blog / Customer stories
Customer stories and blog posts are available from the site for use cases and testimonials.
API
Docs (site includes 'Docs' and SDKs links)
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