Test Pipecat Agents
Connect Pipecat agents via Daily WebRTC with no phone numbers required. Auto-create rooms, auto-generate test scenarios from your prompt, and run tests with full transcripts and 50+ quality metrics.
Time to value
First test report in under 10 minutes
Connect your provider, sync your agents, and validate real calls in one workflow.
Use Daily rooms to connect Pipecat agents to Hamming.
Hamming provisions Daily rooms for testing.
Execute tests and review transcripts and audio.
What you need
- Daily WebRTC access (room URL or token for your Pipecat agent).
- Pipecat agent ready to join Daily rooms.
Connect in minutes
- 1Select Pipecat as your provider and use Daily WebRTC.
- 2Hamming creates Daily rooms automatically for tests.
- 3Run a test and confirm transcripts populate.
Validation checklist
Confirm the integration is working before scaling your tests.
- Provider shows Connected in Agents > Providers.
- Agents appear in Agents > List with the provider badge.
- A test run produces transcripts and audio in the run summary.
- Daily rooms are created automatically for each test run.
Provider-specific capabilities
Built for Pipecat teams
Provider-aware testing and monitoring without changing your stack.
Test Pipecat agents directly in Daily rooms.
Skip SIP setup and dial in through WebRTC.
Hamming provisions rooms for every test run.
50+ quality metrics
What we measure
Comprehensive evaluation across accuracy, conversation quality, voice performance, and task completion.
Accuracy & Correctness
- Factual accuracy
- Intent recognition
- Response relevance
- Hallucination detection
Conversation Quality
- Turn-taking flow
- Interruption handling
- Context retention
- Conversation completion
Voice & Audio
- Latency (time to first word)
- Speech clarity
- Background noise handling
- Accent robustness
Task Completion
- Tool call success rate
- API integration reliability
- Goal completion rate
- Error recovery
Independent evaluation
Why vendor-neutral testing?
Get unbiased results with consistent metrics across all providers—not self-reported scores from your vendor.
| Aspect | Provider built-in testing | Hamming |
|---|---|---|
| Objectivity | Optimized for their platform | Vendor-neutral evaluation |
| Consistency | Metrics vary by provider | Same 50+ metrics across all providers |
| Cross-vendor comparison | Can't compare across vendors | A/B test agents across any provider |
| Independence | Self-reported results | Third-party validation |
| Compliance | Limited audit trail | SOC 2 certified, audit-ready reports |
| Scale | Playground-level testing | 1000+ concurrent production tests |
What you get with Hamming
- Auto-generate test cases and assertions from your prompt.
- Pull tool call data, transcripts, and recordings directly from your provider.
- Run your first test in under 10 minutes with 50+ built-in metrics quality metrics.
- Test both voice and chat agents with unified evaluation.
Frequently Asked Questions
Everything you need to know about testing Pipecat agents with Hamming.
Hamming connects to Pipecat agents via Daily WebRTC. Configure your Daily room URL or let Hamming auto-provision rooms, then run automated conversation tests with 50+ quality metrics.
No. Hamming tests Pipecat agents directly through Daily WebRTC rooms without phone numbers or SIP setup. This reduces costs and simplifies testing infrastructure.
Yes. Hamming tests any Pipecat pipeline configuration including custom STT, LLM, and TTS combinations. Test scenarios validate end-to-end conversation quality regardless of your pipeline setup.
Paste your agent's system prompt into Hamming and it generates test scenarios automatically. Add custom scenarios for edge cases, then run tests in parallel across accents and background noise conditions.
Most teams run their first Pipecat test in under 15 minutes. Configure Daily WebRTC connection, and Hamming provisions rooms and generates test scenarios automatically.
Yes. Hamming tests agents with any Voice Activity Detection configuration. Test scenarios validate turn-taking, interruption handling, and endpointing behavior under realistic speech patterns.
Hamming measures latency at each pipeline stage: STT processing, LLM inference, and TTS synthesis. Detailed breakdowns help identify which component causes delays in your conversation flow.
Yes. Run A/B tests comparing different STT, LLM, or TTS providers in your pipeline. Hamming measures quality and latency differences to help you choose the optimal configuration.