# Tuner Documentation

- [Welcome to Tuner](https://docs.usetuner.ai/docs/getting-started/welcome-to-tuner.md): Simulation, analytics, and observability for voice AI agents — from pre-launch testing to production monitoring.
- [Quickstart](https://docs.usetuner.ai/docs/getting-started/quickstart.md): Connect your voice agent to Tuner and get your first call analyzed and scored.
- [Connecting to Retell](https://docs.usetuner.ai/docs/integrations/retell.md): Connect your Retell voice agent to Tuner. The integration is a no-code process that can be completed in minutes.
- [Connecting to Vapi](https://docs.usetuner.ai/docs/integrations/vapi.md): Connect your Vapi voice assistant to Tuner. The integration is a no-code process that can be completed in minutes.
- [Connect Vapi transient assistants](https://docs.usetuner.ai/docs/integrations/vapi-transient-assistants.md): Creating your Vapi assistants at call time? Forward every finished call to one Tuner agent, with each agent's customization attached as metadata for Tuner's evals.
- [Connecting to LiveKit](https://docs.usetuner.ai/docs/integrations/livekit.md): Connect your LiveKit Agents to Tuner with a two-line SDK integration. Call data is automatically captured and sent to Tuner when each session ends.
- [Connecting to Pipecat](https://docs.usetuner.ai/docs/integrations/pipecat.md): Connect your Pipecat pipeline to Tuner with the Observer SDK. Call data is automatically captured and sent to Tuner when each call ends.
- [Connecting to Dograh](https://docs.usetuner.ai/docs/integrations/dograh.md): Connect your Dograh voice agent workflow to Tuner. Completed calls export automatically for performance analysis, evaluation, and monitoring.
- [Overview](https://docs.usetuner.ai/docs/integrations/custom-stack/overview.md): Send call data to Tuner from your own voice stack — with the Python SDKs, or by building against the API directly.
- [SDK Quickstart](https://docs.usetuner.ai/docs/integrations/custom-stack/sdk-quickstart.md): Add Tuner observability to a custom Python voice stack — a session, an observer per pipeline role, one flush at call end.
- [Direct API](https://docs.usetuner.ai/docs/integrations/custom-stack/direct-api.md): Build the call timeline yourself and send it to Tuner's Create Call API — for stacks that aren't Python.
- [Speech-to-Text](https://docs.usetuner.ai/docs/integrations/custom-stack/speech-to-text.md): Capture user transcript, turn timing, and STT latency by attaching a Tuner adapter to your existing STT provider — your streaming loop stays untouched.
- [Text-to-Speech](https://docs.usetuner.ai/docs/integrations/custom-stack/text-to-speech.md): Capture agent transcript, synthesis latency, and word-accurate interruptions by wrapping your TTS stream with a Tuner adapter — Tuner observes synthesis, it never drives it.
- [LangChain / LangGraph](https://docs.usetuner.ai/docs/integrations/custom-stack/langchain.md): Capture what your LangGraph/LangChain brain layer did on every call — node transitions, timing, and tool calls — whether you're on a custom stack, LiveKit, or Pipecat.
- [Webhooks](https://docs.usetuner.ai/docs/integrations/webhooks.md): Send Tuner events to any endpoint. Get notified when a call is analyzed, when an alert fires, and, for Vapi and Retell, receive the original provider payload so your existing automations keep working.
- [Evals and Guardrails](https://docs.usetuner.ai/docs/evaluation/overview.md): Evaluations and guardrails are the core of Tuner’s monitoring capabilities. This guide explains what they are, how they work, and how to use them to improve your voice agent’s quality.
- [Classify calls by outcome and intent](https://docs.usetuner.ai/docs/evaluation/call-classification.md): Learn how to classify your calls by defining what "Success" and "Failure" mean for your agent. This is a critical step for accurately tracking your agent's performance and identifying areas for improvement.
- [Predefined Evals](https://docs.usetuner.ai/docs/evaluation/predefined-evals.md): Tuner ships with 21 ready-to-use evals across four categories, each backed by an AI judge tuned on real voice AI deployments. Enable any combination with one click.
- [Create Evals](https://docs.usetuner.ai/docs/evaluation/custom-evals.md): Browse Tuner's predefined eval library and create custom evals to check for the specific behaviors and outcomes that matter most to your business. This guide walks through the eval library and the custom eval builder.
- [Red flags and labels](https://docs.usetuner.ai/docs/evaluation/red-flags.md): Condition-based tags Tuner applies to calls when patterns you define are detected — how to build the rules, and how to triage what they surface.
- [Evaluate agents with per-call instructions](https://docs.usetuner.ai/docs/evaluation/dynamic-agents.md): How to use call metadata to evaluate agents whose behavior changes based on runtime context.
- [The Overview Dashboard](https://docs.usetuner.ai/docs/observability/overview.md): A high-level view of your agent's performance — the five headline metrics, the intent and outcome breakdowns, and the red flag queue.
- [Find the root cause of a failing call](https://docs.usetuner.ai/docs/observability/root-cause-analysis.md): A step-by-step guide to performing a deep-dive analysis of a single call. Learn how to use the Call Details view to uncover the root cause of an issue and identify opportunities for improvement.
- [Voice metrics and latency](https://docs.usetuner.ai/docs/observability/voice-metrics.md): Tuner breaks every call into individual turns and measures the latency of each pipeline stage — EOU, STT, LLM, and TTS — so you can pinpoint exactly where time is being spent and what is causing delays.
- [OpenTelemetry Traces](https://docs.usetuner.ai/docs/observability/traces.md): Send OpenTelemetry spans from LiveKit Agents, Pipecat, or a custom stack to Tuner and read them as a span tree on the matching call.
- [Real-time Alerts](https://docs.usetuner.ai/docs/observability/alerts.md): Define what matters and let Tuner notify you the moment it happens — by email or webhook.
- [PII Redaction](https://docs.usetuner.ai/docs/observability/pii-redaction.md): Automatically detect and redact sensitive personal information from call transcripts before analysis runs, so what Tuner stores, analyzes, and shows never contains verbatim PII.
- [Data Retention](https://docs.usetuner.ai/docs/observability/data-retention.md): Set how long Tuner keeps call data and what gets erased when a call expires, so old call data is removed automatically across every agent in your workspace.
- [Introduction to Call Simulation](https://docs.usetuner.ai/docs/simulation/overview.md): Stop calling your own voice agent. Run hundreds of simulation calls in minutes, and know exactly what breaks before your customers find it.
- [How inbound simulation connects over SIP](https://docs.usetuner.ai/docs/simulation/inbound/setup.md): What Tuner needs to place simulation calls (SIP URI and credentials), where to paste them, and which guide matches your platform.
- [Simulate a Retell agent](https://docs.usetuner.ai/docs/simulation/inbound/retell.md): Find your Retell SIP URI and paste it into Tuner SIP Settings.
- [Simulate a Vapi agent](https://docs.usetuner.ai/docs/simulation/inbound/vapi.md): Create a Free Vapi SIP trunk, copy SIP URI and digest credentials, link your assistant, paste into Tuner.
- [Simulate a Dograh agent](https://docs.usetuner.ai/docs/simulation/inbound/dograh.md): Build the SIP URI for your Dograh agent and add it to Tuner.
- [SIP for Twilio, Telnyx, LiveKit & Other Platforms](https://docs.usetuner.ai/docs/simulation/inbound/other-platforms.md): Get a SIP URI and credentials from any SIP provider, then paste into Tuner.
- [Outbound Simulation](https://docs.usetuner.ai/docs/simulation/outbound.md): Test agents that place calls: Tuner tells your system who to call, your agent dials a simulation agent, and the call links back automatically.
- [Test Profiles](https://docs.usetuner.ai/docs/simulation/test-profiles.md): Test profiles let you define what the simulated customer knows before the call starts — names, account details, appointment context, or any other data your agent needs to handle the scenario correctly.
- [Scenarios](https://docs.usetuner.ai/docs/simulation/scenarios.md): Build your own simulated callers, or save the best ones from a simulation run, then run them again after every change to see whether your agent still handles them.
- [Replays](https://docs.usetuner.ai/docs/simulation/replays.md): Replay a real call from your Dataset against your agent with the exact same caller audio, to reproduce a failure, prove a fix, or compare two setups.
- [Introduction to Datasets](https://docs.usetuner.ai/docs/datasets/overview.md): Save real calls and replay them against your agent with the exact same caller audio. Reproduce the call that failed, prove your fix, and pick your stack on your own calls.
- [Add Dataset calls](https://docs.usetuner.ai/docs/datasets/add-calls.md): Pick a real production call or upload a recording. Tuner finds the caller, cuts their side into turns, and gets the call ready to replay.
- [Capture failures and prove the fix](https://docs.usetuner.ai/docs/datasets/use-cases/capturing-failures.md): Save the call that failed, reproduce it with the exact same caller audio, prove your fix on it, and keep it as a test that runs on every change.
- [Benchmark your stack on your own calls](https://docs.usetuner.ai/docs/datasets/use-cases/benchmarking.md): Test a new model or provider on your own callers, in your own stack, before you switch. Same calls, same scoring, latency measured on every run.
- [Dataset best practices](https://docs.usetuner.ai/docs/datasets/best-practices.md): How to choose, name, and maintain Dataset calls so every replay tells you something you can act on.
- [Setup the MCP server](https://docs.usetuner.ai/docs/mcp/setup.md): Connect the Tuner MCP server to your IDE or chatbot and configure your agent in natural language.
- [Diagnose Your Agent](https://docs.usetuner.ai/docs/mcp/diagnose.md): Use the Tuner MCP to find what's broken in your agent, understand why, and fix it, including adding the evals and data capture that keep it fixed.
- [Tuner Features](https://docs.usetuner.ai/docs/guides/tuner-features.md): Every feature in Tuner, what it does, when it is useful, and how the pieces fit together.
- [Best Practices for Agent Monitoring](https://docs.usetuner.ai/docs/guides/agent-monitoring.md): Effective monitoring is key to maintaining a high-performing voice agent. This guide provides a set of best practices to help you catch issues early, validate changes with simulation, and establish a data-driven workflow.
- [Technical vs. Business Evals](https://docs.usetuner.ai/docs/guides/technical-vs-business-evals.md): Why technical metrics like WER and latency aren't enough, and how business evals measure whether your voice agent actually achieves its goal.
- [The Business Evals Framework](https://docs.usetuner.ai/docs/guides/business-evals-framework.md): A layered framework for building business evaluations that measure conversation outcomes, compliance, and goal completion for your voice agents.
- [Evals by industry](https://docs.usetuner.ai/docs/guides/industries/overview.md): How to design vertical-specific evaluations for your voice AI agents, with best-practice guides for eight industries.
- [Automotive Dealerships](https://docs.usetuner.ai/docs/guides/industries/automotive.md): Best-practice call intents, outcomes, and evaluations for voice AI agents at automotive dealerships.
- [Debt Collection](https://docs.usetuner.ai/docs/guides/industries/debt-collection.md): Best-practice call intents, outcomes, and compliance-focused evaluations for voice AI agents in debt collection.
- [Financial Services & Banking](https://docs.usetuner.ai/docs/guides/industries/financial-services.md): Best-practice call intents, outcomes, and evaluations for voice AI agents in financial services and banking.
- [Healthcare](https://docs.usetuner.ai/docs/guides/industries/healthcare.md): Best-practice call intents, outcomes, and HIPAA-aware evaluations for voice AI agents in healthcare.
- [Insurance](https://docs.usetuner.ai/docs/guides/industries/insurance.md): Best-practice call intents, outcomes, and evaluations for voice AI agents in the insurance industry.
- [Real Estate](https://docs.usetuner.ai/docs/guides/industries/real-estate.md): Best-practice call intents, outcomes, and evaluations for voice AI agents in real estate.
- [Restaurants & Food Service](https://docs.usetuner.ai/docs/guides/industries/restaurants.md): Best-practice call intents, outcomes, and evaluations for voice AI agents in restaurants and food service.
- [Travel & Hospitality](https://docs.usetuner.ai/docs/guides/industries/travel-hospitality.md): Best-practice call intents, outcomes, and evaluations for voice AI agents in travel and hospitality.
- [Glossary of Key Terms](https://docs.usetuner.ai/docs/resources/glossary.md): This glossary provides definitions for the key terms used throughout the Tuner platform and documentation.
- [FAQs](https://docs.usetuner.ai/docs/resources/faq.md): Answers to frequently asked questions about Tuner. If you can't find what you're looking for, please contact our support team.
- [Troubleshooting Common Issues](https://docs.usetuner.ai/docs/resources/troubleshooting.md): A guide to troubleshooting common issues with Tuner. If you can't find what you're looking for, please contact our support team.
- [Create Call](https://docs.usetuner.ai/api-reference/calls/create-call.md): Ingest a completed call for analysis.
- [List Calls](https://docs.usetuner.ai/api-reference/calls/list-calls.md): List an agent's calls with filtering, sorting, and pagination.
- [List Filter Options](https://docs.usetuner.ai/api-reference/calls/list-filter-options.md): List the filter values available for this agent's calls.
- [List Red Flagged Calls](https://docs.usetuner.ai/api-reference/calls/list-red-flagged-calls.md): List an agent's most recently red-flagged calls.
- [Get Call](https://docs.usetuner.ai/api-reference/calls/get-call.md): Retrieve a single call with its full transcript and analysis.
- [Get Call Spans](https://docs.usetuner.ai/api-reference/calls/get-call-spans.md): Retrieve a call's OpenTelemetry spans, flat and in start-time order.
- [Get Workspace](https://docs.usetuner.ai/api-reference/workspaces/get-workspace.md): Retrieve a workspace, its Tuner API key, and its configured integrations.
- [List Workspaces](https://docs.usetuner.ai/api-reference/workspaces/list-workspaces.md): List the workspaces you have access to.
- [Get PII Redaction](https://docs.usetuner.ai/api-reference/workspaces/get-pii-redaction.md): Get a workspace's PII redaction settings.
- [Update PII Redaction](https://docs.usetuner.ai/api-reference/workspaces/update-pii-redaction.md): Enable or disable PII redaction for a workspace and choose which categories to redact.
- [Get Data Retention](https://docs.usetuner.ai/api-reference/workspaces/get-data-retention.md): Get a workspace's data-retention policy.
- [Update Data Retention](https://docs.usetuner.ai/api-reference/workspaces/update-data-retention.md): Set a workspace's data-retention window and erasure scope.
- [List Workspace API Keys](https://docs.usetuner.ai/api-reference/workspaces/list-workspace-api-keys.md): List this workspace's API keys, newest first.
- [Create Workspace API Key](https://docs.usetuner.ai/api-reference/workspaces/create-workspace-api-key.md): Mint a new API key for this workspace.
- [Revoke Workspace API Key](https://docs.usetuner.ai/api-reference/workspaces/revoke-workspace-api-key.md): Stop a key authenticating, immediately and permanently.
- [List Source Call Candidates](https://docs.usetuner.ai/api-reference/simulation/list-source-call-candidates.md): List calls eligible as a voice clip set's source.
- [List Voice Clip Sets](https://docs.usetuner.ai/api-reference/simulation/list-voice-clip-sets.md): List an agent's active voice clip sets, newest first.
- [Create Voice Clip Set](https://docs.usetuner.ai/api-reference/simulation/create-voice-clip-set.md): Create a voice clip set from a source call or an uploaded file and queue it for extraction.
- [Get Voice Clip Set](https://docs.usetuner.ai/api-reference/simulation/get-voice-clip-set.md): Get a voice clip set, including its clips in playback order.
- [Delete Voice Clip Set](https://docs.usetuner.ai/api-reference/simulation/delete-voice-clip-set.md): Delete a voice clip set.
- [Get Voice Clip Set Audio URL](https://docs.usetuner.ai/api-reference/simulation/get-voice-clip-set-audio-url.md): Get a short-lived presigned URL for a voice clip set's caller track.
- [Start Voice Clip Upload](https://docs.usetuner.ai/api-reference/simulation/start-voice-clip-upload.md): Start a resumable upload and return presigned PUT URLs for every part.
- [Get Voice Clip Upload Parts](https://docs.usetuner.ai/api-reference/simulation/get-voice-clip-upload-parts.md): Resume an interrupted upload: which parts landed, and fresh URLs for the rest.
- [Complete Voice Clip Upload](https://docs.usetuner.ai/api-reference/simulation/complete-voice-clip-upload.md): Assemble the uploaded parts, mark the upload `uploaded`, and queue it for analysis.
- [Get Voice Clip Upload Channel Sample URL](https://docs.usetuner.ai/api-reference/simulation/get-voice-clip-upload-channel-sample-url.md): Get a short-lived presigned URL for one channel's preview sample.
- [Get Voice Clip Upload](https://docs.usetuner.ai/api-reference/simulation/get-voice-clip-upload.md): Poll an upload's status. The modal's read model for every later stage.
- [Delete Voice Clip Upload](https://docs.usetuner.ai/api-reference/simulation/delete-voice-clip-upload.md): Discard the upload's S3 data and soft-delete the row.
- [List Runs](https://docs.usetuner.ai/api-reference/simulation/list-runs.md): List an agent's generated simulation runs with their generated test calls.
- [Create Run](https://docs.usetuner.ai/api-reference/simulation/create-run.md): Start a simulation run for an agent.
- [Create Select Run](https://docs.usetuner.ai/api-reference/simulation/create-select-run.md): Start a select-mode simulation run: test calls placed against library scenarios picked directly by id, rather than generated by an LLM (see Create Run).
- [List Replay Runs](https://docs.usetuner.ai/api-reference/simulation/list-replay-runs.md): List an agent's replay runs with their replayed test calls.
- [Create Replay Run](https://docs.usetuner.ai/api-reference/simulation/create-replay-run.md): Start a deterministic replay run against one or more voice clip sets.
- [List Scenarios](https://docs.usetuner.ai/api-reference/simulation/list-scenarios.md): List the generated test-call scenarios for a simulation run.
- [Save Scenarios To Library](https://docs.usetuner.ai/api-reference/simulation/save-scenarios-to-library.md): Bulk-save selected AI-generated scenarios from a completed run into the library.
- [Search Runs](https://docs.usetuner.ai/api-reference/simulation/search-runs.md): Search an agent's simulation runs by status.
- [List Profiles](https://docs.usetuner.ai/api-reference/simulation/list-profiles.md): List an agent's active simulation profiles.
- [Create Profile](https://docs.usetuner.ai/api-reference/simulation/create-profile.md): Create a simulation profile for an agent.
- [Update Profile](https://docs.usetuner.ai/api-reference/simulation/update-profile.md): Update an existing simulation profile.
- [Delete Profile](https://docs.usetuner.ai/api-reference/simulation/delete-profile.md): Delete a simulation profile.
- [Get Analysis Settings](https://docs.usetuner.ai/api-reference/agent-settings/get-analysis-settings.md): Get the configuration that controls how this agent's calls are analyzed.
- [Update Intent Detection](https://docs.usetuner.ai/api-reference/agent-settings/update-intent-detection.md): Enable or disable AI intent detection for an agent.
- [Get SIP Config](https://docs.usetuner.ai/api-reference/agent-settings/get-sip-config.md): Get the SIP trunk configuration for an agent.
- [Save SIP Config](https://docs.usetuner.ai/api-reference/agent-settings/save-sip-config.md): Save the SIP trunk configuration for an agent.
- [Delete SIP Config](https://docs.usetuner.ai/api-reference/agent-settings/delete-sip-config.md): Delete the SIP trunk configuration for an agent.
- [Get Outbound Config](https://docs.usetuner.ai/api-reference/agent-settings/get-outbound-config.md): Get the outbound calling configuration for an agent.
- [Save Outbound Config](https://docs.usetuner.ai/api-reference/agent-settings/save-outbound-config.md): Save the outbound calling configuration for an agent.
- [Delete Outbound Config](https://docs.usetuner.ai/api-reference/agent-settings/delete-outbound-config.md): Delete the outbound calling configuration for an agent.
- [Create Call Outcome](https://docs.usetuner.ai/api-reference/agent-settings/create-call-outcome.md): Create a call outcome for an agent.
- [Update Call Outcome](https://docs.usetuner.ai/api-reference/agent-settings/update-call-outcome.md): Update an existing call outcome.
- [Delete Call Outcome](https://docs.usetuner.ai/api-reference/agent-settings/delete-call-outcome.md): Delete a call outcome.
- [Create Call Intent](https://docs.usetuner.ai/api-reference/agent-settings/create-call-intent.md): Create a call intent for an agent.
- [Update Call Intent](https://docs.usetuner.ai/api-reference/agent-settings/update-call-intent.md): Update an existing call intent.
- [Delete Call Intent](https://docs.usetuner.ai/api-reference/agent-settings/delete-call-intent.md): Delete a call intent.
- [Create Extraction Field](https://docs.usetuner.ai/api-reference/agent-settings/create-extraction-field.md): Create a data extraction field for an agent.
- [Update Extraction Field](https://docs.usetuner.ai/api-reference/agent-settings/update-extraction-field.md): Update an existing data extraction field.
- [Delete Extraction Field](https://docs.usetuner.ai/api-reference/agent-settings/delete-extraction-field.md): Delete a data extraction field.
- [List Evals](https://docs.usetuner.ai/api-reference/agent-settings/list-evals.md): List all evals configured for an agent.
- [Create Eval](https://docs.usetuner.ai/api-reference/agent-settings/create-eval.md): Create an eval for an agent.
- [Create Evals Bulk](https://docs.usetuner.ai/api-reference/agent-settings/create-evals-bulk.md): Create multiple evals for an agent in a single request.
- [Get Eval](https://docs.usetuner.ai/api-reference/agent-settings/get-eval.md): Get a single eval by ID.
- [Update Eval](https://docs.usetuner.ai/api-reference/agent-settings/update-eval.md): Update an eval.
- [Delete Eval](https://docs.usetuner.ai/api-reference/agent-settings/delete-eval.md): Delete an existing eval.
- [List Rule Conditions](https://docs.usetuner.ai/api-reference/agent-settings/list-rule-conditions.md): List the condition sources available for building rules on this agent.
- [List Rules](https://docs.usetuner.ai/api-reference/agent-settings/list-rules.md): List an agent's rules.
- [Create Rule](https://docs.usetuner.ai/api-reference/agent-settings/create-rule.md): Create a rule for an agent.
- [Get Rule](https://docs.usetuner.ai/api-reference/agent-settings/get-rule.md): Get a single rule by ID.
- [Update Rule](https://docs.usetuner.ai/api-reference/agent-settings/update-rule.md): Update an existing rule.
- [Delete Rule](https://docs.usetuner.ai/api-reference/agent-settings/delete-rule.md): Delete an existing rule.
- [List Alert Conditions](https://docs.usetuner.ai/api-reference/agent-settings/list-alert-conditions.md): List the condition sources available for building alert definitions on this agent.
- [List Alert Definitions](https://docs.usetuner.ai/api-reference/agent-settings/list-alert-definitions.md): List all alert definitions configured for an agent.
- [Create Alert Definition](https://docs.usetuner.ai/api-reference/agent-settings/create-alert-definition.md): Create a new alert definition for an agent.
- [Get Alert Definition](https://docs.usetuner.ai/api-reference/agent-settings/get-alert-definition.md): Get a single alert definition by ID.
- [Update Alert Definition](https://docs.usetuner.ai/api-reference/agent-settings/update-alert-definition.md): Update an existing alert definition.
- [Delete Alert Definition](https://docs.usetuner.ai/api-reference/agent-settings/delete-alert-definition.md): Delete an existing alert definition.
- [List Agents](https://docs.usetuner.ai/api-reference/agents/list-agents.md): List all active agents in a workspace.
- [Create Agent](https://docs.usetuner.ai/api-reference/agents/create-agent.md): Create an agent and link it to a voice provider.
- [Get Agent](https://docs.usetuner.ai/api-reference/agents/get-agent.md): Retrieve an agent with its provider integration.
- [Update Agent](https://docs.usetuner.ai/api-reference/agents/update-agent.md): Replace an agent's configuration.
- [Preview Scenario Prompt](https://docs.usetuner.ai/api-reference/scenarios/preview-scenario-prompt.md): Preview the scenario editor's live prompt, built from the same code simulated calls use.
- [List Scenarios](https://docs.usetuner.ai/api-reference/scenarios/list-scenarios.md): List an agent's active scenarios, newest first.
- [Create Scenario](https://docs.usetuner.ai/api-reference/scenarios/create-scenario.md): Hand-author a new scenario for the library.
- [Get Scenario](https://docs.usetuner.ai/api-reference/scenarios/get-scenario.md): Get a single scenario, scoped to the agent.
- [Update Scenario](https://docs.usetuner.ai/api-reference/scenarios/update-scenario.md): Update a scenario's user-authored fields.
- [Delete Scenario](https://docs.usetuner.ai/api-reference/scenarios/delete-scenario.md): Soft-delete a scenario.
- [Get Scenario Run History](https://docs.usetuner.ai/api-reference/scenarios/get-scenario-run-history.md): List every past execution of a library scenario, across all simulation runs.
- [Receive Traces](https://docs.usetuner.ai/api-reference/traces/receive-traces.md): OTLP/HTTP trace receiver.
- [List Providers](https://docs.usetuner.ai/api-reference/providers/list-providers.md): List the voice providers Tuner supports.
- [Changelog](https://docs.usetuner.ai/change-log.md): Recent product updates and improvements

## OpenAPI Specs

- [openapi](https://api.usetuner.ai/public/openapi.json)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.