Autessa Evaluations and LangSmith
Autessa Evaluations as a LangSmith alternative
LangSmith is the observability and evaluation platform from the LangChain team, now framework agnostic, with annotation queues, online evaluators and a hosted MCP server. Multi-turn simulation is available through the open-source openevals package, set up in code. Autessa Evaluations ships simulated users as a product feature any teammate can use, and adds checks that act before a reply is sent.
Side by side
Autessa Evaluations vs LangSmith
| Capability | Autessa Evaluations | LangSmith |
|---|---|---|
| Simulated users | Personas built in the app | openevals, set up in code |
| One-click starter personas | ✓ | Write your own prompt |
| Results by persona, with stop reasons | ✓ | Not listed |
| Response checks that fix or block a reply before it is sent | ✓ | Not listed |
| Voice released sentence by sentence after each passes | ✓ | Not listed |
| Judges never default to a pass | ✓ | Not listed |
| Grading any transcript, with no tracing | Upload or API | Send traces or use the LLM Gateway |
| Full headless access (Autessa MCP) | ✓ | Hosted MCP: traces, prompts, datasets |
| 100% customizable, code and all (Autobot) | ✓ | Evaluators in code; self-hosted option |
| Test sets and experiments | ✓ | ✓ |
| Scoring live production traffic | AutoEval | Online evaluators |
| Human review and labeling | Human evaluation | Annotation queues |
Based on publicly available information as of November 2026. Product names are trademarks of their owners.
Where Autessa wins
Why teams pick Autessa over LangSmith
- No code to simulate a customer: a teammate writes a persona, or adds a starter persona in one click, and runs it against any version.
- Results break down by persona with a stop reason for every case, and platform faults are counted apart from agent failures.
- Response checks guard every reply in chat, SMS, voice and the API, before send, and fail closed if a check cannot run.
- From Claude to a finished run: through the Autessa MCP, Claude or your own agent can run a test set, grade transcripts and pull version statistics.
- Change the workflow, not just the evaluator. Autobot can add a report or a review step from a plain-language request, down to the code.
Switching
Up and running in an afternoon
- 1
Grade what you already have
Upload past transcripts to Transcript Grading or send them to the Grading API and get verdicts right away.
- 2
Turn datasets into test sets
Bring your test inputs over as cases with plain-English expected outcomes, and add simulated users.
- 3
Score and guard live traffic
Turn on AutoEval and response checks, then tailor rubrics and checks to your company.
Other comparisons
FAQ
Questions about switching from LangSmith
Is Autessa Evaluations a LangSmith alternative?
For teams that want agent evaluation with test sets, online scoring and human labels, yes. Autessa adds in-app simulated users, response checks before send and grading for any agent’s transcript.
Does Autessa support online evaluation?
Yes. AutoEval scores every production conversation, or a random sample between 20% and 40%.
Does Autessa have annotation?
Yes. Human evaluation records a status and notes on any conversation, and it always takes precedence over the automated verdict.
What can I customize?
Rubrics, expected outcomes, personas and checks are yours to write, and the app can be changed down to its code by Autobot or your developers.
What can AI tools do through the Autessa MCP?
Claude, ChatGPT, Cursor or your own agents can run test sets, grade transcripts and read statistics, within the access of whoever connected it.
100% customizable, code and all
Make Autessa Evaluations fully your own.
Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.
Start free and make it yours