Where is NS-518206? It's been a week.
check_order
It shipped Monday with UPS and arrives Thursday.
Fine.
Passed
Automated testing for conversational AI
Simulate real customers and catch multi-turn failures, hallucinations, and bad tool calls before your customers do.
“Voxli becomes more valuable the longer you’ve used it. The tests you build become a custom dataset your competitors don’t have.”
Ammar KhanBuilder, Expertise.ai
Expertise.ai runs Voxli nightly to catch agent regressions before customers do. Built with our design partners. Read the story
Simulate multi-turn conversations at scale.
Run hundreds of tests in parallel. Create impatient, confused, and combative personas to uncover failures a happy-path demo never reveals.
Catch hallucinations and bad tool calls.
Every run flags hallucinated answers, broken tool calls, and wrong parameters, and ties the evidence to the exact turn.
One test, many personalities.
Run the same scenario with different user personas to catch edge cases automatically.
Voxli writes the tests for you
Describe what to test in plain English.
It talks to your agent first, then runs every test it writes.
Every bug becomes a failing test.
Fix the agent and it passes.
Replay production conversations.
Turn a real conversation into a repeatable test.
“The ability to replay real production conversations and turn them into repeatable tests solves a big and important problem for us.”
Use cases
Agents break when something changes.
Start from the change you are about to make.
model swapprovider switch
Swap models safely
Run the old model and the new one on the same suite and see exactly what changed.
model swapRAG change
Catch hallucinations
Know when a change makes your agent invent facts, before a customer acts on one.
new client go-liveclient sign-off
Prove launch readiness
Turn the use cases, brand rules, and safety limits you agreed on into a pre-launch suite.
prompt updateknowledge base edit
Stop shipping regressions
Run the whole suite on every change, on a schedule or in CI, and get alerted when a flow breaks.
tool schema changenew tool
Trust every tool call
Check that the agent calls the right tool with the right arguments and reports what it actually did.
live issuecustomer escalation
Reproduce live issues
Import the conversation that went wrong, replay it until the failure shows itself, and keep it as a test.
For developers
Your coding agent fixes what Voxli finds
Connect Claude Code, Cursor, or any MCP client to your Voxli workspace. Your assistant reads the failing run, applies a fix, and runs the tests again.
More on MCPConnect your workspace
claude mcp add voxli --transport http https://api.voxli.io/mcpThen ask your assistant
Look up the latest run in Voxli and analyze why it failed.
- Browse your scenarios and agents
- Trigger test runs from your editor
- Read detailed results, turn by turn
“We had our development team spend three months building internal tools to handle what Voxli does out-of-the-box.”
Know what to fix before you deploy.
Compare agent versions side by side after a model swap, prompt change, or tool update. Every test scores against your baseline.
Side-by-side comparison.
Run two or more agents on the same suite and see exactly which tests moved.
Repeat runs, real signal.
Run each test several times and read aggregated scores instead of a single lucky pass.
See Voxli in action.
A short product walkthrough recorded by one of the founders.
When your agent speaks for a business, what it says matters.
We are early stage and founder led. Book a call and talk directly with the people building Voxli.
Talk to a founder