LangWatch LLM observability
LangWatch LLM observability traces model calls, tool calls and retrieval steps while displaying costs, latency and errors.
Find alternatives to LangWatch LLM observability
What it does
- Evaluation and observability
- Data analysis
Features 6
- OpenTelemetry-native tracingTraces every LLM call, tool call and RAG retrieval with cost and latency on every span.
- AI-powered AskLets users query the trace explorer in plain English instead of building filters by hand.
- Richer visualizationsShows traces as waterfall, flame chart, span list, topology graph and sequence diagram.
- Filterable traces linked to evalsFilters by model, project, labels, metadata and origin, then builds datasets from selected traces.
- LensesSaves a view's layout, filters and columns so it can be reopened exactly as left.
- Auto-instrumentationAuto-instruments OpenAI, Azure, LangChain, LangGraph, DSPy, CrewAI, Haystack, Bedrock and LiteLLM.
Sources
- Pricing
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Pricing page: "Start free, add seats at € 29 / core-seat / month, and pay only for the events you send."
- Description
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Official documentation · 14 Oct 2026
Product page: "OpenTelemetry-native tracing for LLM apps."
- What it does
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Official documentation · 14 Oct 2026
Product page: "OpenTelemetry-native tracing for LLM apps."
- Sold within
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Sold on its own with published plans.
- Name
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Official documentation · 14 Oct 2026
Name as published on the product page.
- URL
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Official documentation · 14 Oct 2026
Product page, read 2026-10-14.
- Deployment
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"Self-host whenever you want."; home page: "Self-host in 15 min"
- Interfaces
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Official documentation · 18 Oct 2026
"Python, TypeScript, and Go SDKs that trace, evaluate, and optimize your agents in production."; the description of the SDK page reads "OpenTelemetry-native and framework-agnostic."
Also from LangWatch
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LangWatch Instant Evals Application
A LangWatch component that evaluates stored agent conversations, traces, and LLM calls against questions expressed in plain language.
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LangWatch AI Gateway API service
Gateway that puts every LLM call through one endpoint on the customer's own provider keys, with per-person, team, project and customer spending budgets, provider fallback, a trace for every call and webhooks for billing end customers.
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Langy AI agent
LangWatch's automated AI engineer: it reads production traces, clusters failures, writes tests and opens a pull request with CI checks, running on the customer's own model keys; you review and merge.
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