LangWatch review
Affordable visibility for agents, RAG pipelines, evaluations, and LLM costs.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
LangWatch is an LLM engineering and observability platform for teams building AI agents and applications. It records LLM and agent traces with nested spans and execution graphs, tracks tokens, model costs, and latency, and captures RAG spans and retrieved context. Its audience is teams developing, evaluating, and operating AI systems in production, particularly those that need visibility across agents, retrieval workflows, prompts, and evaluations.
The freemium pricing structure gives teams a low-cost entry point. The Developer plan costs €0 per month and includes 50k events per month, 14-day data access, 2 users, 3 scenarios, 3 simulations, and 3 custom evaluations. Growth costs €29 per core-seat per month, includes 200k events, and adds unlimited lite-users, simulations, evaluations, and prompts, along with private Slack or Teams support. Volume discounts apply above 20 users. Enterprise adds hybrid, self-hosted, or on-prem deployment, custom data retention, SSO and RBAC, audit logs, SLAs, ISO 27001 reports and security review, and a dedicated support plan.
LangWatch fits teams that want one workspace for observability, testing, and prompt operations. It supports Python, TypeScript, and Go SDKs, OpenTelemetry, REST API ingestion, and frameworks including OpenAI Agents, LangGraph, LangChain, CrewAI, Pydantic AI, Mastra, DSPy, LlamaIndex, Haystack, Google ADK, and Amazon Bedrock. Offline experiments, online evaluations, guardrails, prompt rollback, deployment tags, playground testing, topic clustering, trace search, and custom analytics broaden its coverage. Teams needing only basic trace collection may prefer a narrower tool, while teams building agentic or RAG systems should find the combined coverage more suitable.
LangWatch pros and cons
- Where it wins
- Nested agent tracing with execution graphs and cost tracking
- Evaluations, guardrails, simulations, and prompt versioning in one platform
- Broad SDK, framework, OpenTelemetry, and self-hosted deployment support
- Where it doesn't
- Developer includes 50k events monthly and 14-day data access
- Enterprise capabilities require a custom plan
- The feature set may exceed the needs of teams wanting basic tracing only
LangWatch fact sheet, pricing and score →
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