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AI observability · Tool
LangWatch
ResearchedAI agent testing and evaluation that turns unpredictable agents into reliable production systems, with simulations, evals, observability, and governance.
Official site snapshots
Visit live site See the official site at a glance
Read-only public captures of LangWatch’s homepage. Screenshots are dated, never live embeds, and open full-screen.
In one minute
Start here for the decision-making essentials: what LangWatch does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
See official pricing
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary
Decision support
3 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about LangWatch. Each answer cites the shared ledger below, where every source is listed once.
01What does LangWatch help with?
AI observability
Ledger citation[2] langwatch.ai
02What pricing information is available for LangWatch?
See official pricing
Ledger citation[2] langwatch.ai
03Does LangWatch document API access?
No public API access is listed in the recorded profile sources.
Ledger citation[2] langwatch.ai
Decision guide
AI observabilityCapabilities and operating fit
This profile connects the jobs LangWatch is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- AI observability
Topics mapped
Access signals
- Pricing model
- See official pricing
- API
- Not publicly listed
- Source links
- 1 recorded
Source-backed
Updated July 28, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
AI Agent Testing and Evaluation | LangWatch
Practical capabilities
1 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
AI observability
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
See official pricing
Platforms
Web
Adoption notes
DeploymentWeb
LicenseProprietary
Model supportProvider-managed unless documented otherwise
Data controlReview the provider's current privacy, retention and subprocessors documentation before adoption
Learning curveBeginner
Primary use cases
What to verify before adopting
- Confirm current pricing, quotas and feature availability with the provider.
- Test output quality and reliability against your own workflow before committing.
- Review privacy, security and contractual requirements for sensitive data.
Evolution and major updates
11 dated updatesLangWatch timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Latest first · exact dates
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Things you can ask Langy
Open detailsDocuments how teams prompt Langy about their agents and receive answers grounded in production traces and code, with fixes opened as PRs.
View source [4]Introducing Langy: Your Automated AI Engineer
Open detailsLaunched Langy, a coding agent inside LangWatch that reads production traces, writes Scenario tests, opens pull requests on the user's codebase, and proves changes in CI.
View source [3]Keyboard Warriors - The Command Bar (v3.0.0)
Open detailsAdded a ⌘K command palette to navigate any page, jump to entities by ID, search the project, switch themes, and create prompts, datasets, or agents without a mouse.
View source [5]Polished Analytics (v3.0.0)
Open detailsRefreshed analytics with sticky headers, better empty states, dark-mode refinements, and filter behavior fixes.
View source [1]LangWatch 3.0 - Self-Host with ClickHouse
Open detailsLangWatch 3.0 launched a simplified stack built on ClickHouse, deployable via Helm or Docker Compose with no Elasticsearch required.
View source [1]Built-in MCP Server with OAuth (v3.0.0)
Open detailsShips a built-in MCP server with OAuth so clients such as Claude Code can manage prompts, datasets, and evaluators from their editor.
View source [1]Built-in MCP Server with OAuth (3.0.0)
Open detailsLangWatch shipped a built-in MCP server with OAuth, letting clients like Claude Code manage prompts, datasets and evaluators from the editor.
View source [1]Prompt Tags (v3.0.0)
Open detailsAdds prompt tagging across platform, SDKs, CLI, and MCP, with prompt:tag fetch syntax and tag management from any surface.
View source [1]
View 3 more dated releasesFull source-backed history
Citation ledger
5 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1langwatch.ai/changelog 8 milestones
- 2langwatch.ai 2 facts · 3 answers · Official site
- 3langwatch.ai/blog/introducing-langy-your-automated-ai-engineer 1 milestone
- 4langwatch.ai/blog/things-you-can-ask-langy 1 milestone
- 5langwatch.ai/changelog/keyboard-warriors-the-command-bar 1 milestone
Research status1 substantive facts · 1 source pages · quality score 32/100