> ## Documentation Index > Fetch the complete documentation index at: https://docs.flowyte.com/llms.txt > Use this file to discover all available pages before exploring further. # Start a probe run > Kicks off a probe run against the agent for a given test scenario, in either loopback or phone mode. Returns a run id you can poll or stream for results. ## OpenAPI ````yaml /openapi.yaml post /agents/{agentId}/probe/run openapi: 3.1.0 info: title: Flowyte V2 Control-Plane REST API version: 1.0.0 description: >- The single REST API for the Flowyte platform (base path `/api/v1`). Authenticate every request with a secret API key — `Authorization: Bearer flowyte_sk_…` — and each operation lists the scope the key must hold. Successful responses use the `ApiResponse` envelope; list responses use cursor-based `PaginatedResponse`. Errors are RFC 9457 problem+json. Streaming endpoints return Server-Sent Events (`event:\ndata:\n\n`, terminating with `event: done`). contact: name: Flowyte Platform license: name: Proprietary servers: - url: /api/v1 description: Flowyte control-plane (versioned URI; additive in v1). security: - apiKey: [] tags: - name: Agents description: The single user-facing entity. - name: Skills description: > Agent capabilities / tools. A skill is ONE atomic action — typically a single API call the agent makes in one step (look up an order, create a record, send a message, transfer the call). Use a skill when the task is a single step. When a task needs several details gathered across turns BEFORE acting, build a Playbook (which gathers the inputs and then calls skills) — see the Playbooks tag. - name: Integrations description: Native OAuth integrations. - name: Knowledge description: RAG knowledge sources & preview. - name: Playbooks description: > Multi-turn conversation scripts — a node graph (gather → confirm → branch) the agent follows to collect several inputs IN ORDER across turns before acting. Build a playbook when a single skill call isn't enough because the agent must gather MANY details first, or run a SEQUENCE of skills, before it can finish (e.g. take a full service request: gather the problem, address, and time, confirm, THEN file it; qualify a lead; a multi-step intake). A playbook does NOT call an integration itself — it owns the conversation and holds the state across turns; the actual action is performed by the SKILL(s) it gathers the inputs for. So a playbook ORCHESTRATES skills. Rule of thumb — one API call → a Skill; "gather N things in order, then submit" → a Playbook that drives the conversation and calls the skill(s) at the end. - name: Variables description: > The agent-wide interaction-variable registry (B.4b) — DERIVED at read time from the agent's playbooks and skills (collect slots, skill output bindings, {var} placeholders) and merged with a thin annotation overlay (notes, declared type hints, manual declarations). Read-only observation, NEVER a gate: it never validates a reference and never affects authoring, publish, or runtime behaviour. - name: Guardrails description: Deterministic guardrail policies & caller verification. - name: Numbers description: Phone numbers / DIDs. - name: Test description: Test, simulate, talk-token, probe. - name: Observe description: Post-call analytics, conversations, receipts, transcripts. - name: Billing description: Plans, wallet, usage, fixed phrases. - name: Voices description: Voice catalog. - name: Webhooks description: Webhook endpoints & deliveries. - name: AuditLogs description: API/key activity logs. - name: Chat description: Chat channel — sessions, messages, OpenAI-compatible, widget. - name: PublishableKeys description: Browser-safe, one-agent publishable keys. - name: Widget description: Embed widget config + snippet. - name: Uploads description: Multipart file uploads backing file_id params - name: Meta description: Platform metadata (language/SKU/tier capabilities). paths: /agents/{agentId}/probe/run: parameters: - $ref: '#/components/parameters/AgentIdPathScoped' post: tags: - Test summary: Start a probe run description: >- Kicks off a probe run against the agent for a given test scenario, in either loopback or phone mode. Returns a run id you can poll or stream for results. operationId: runProbe requestBody: required: true content: application/json: schema: type: object required: - scenarioId - mode properties: scenarioId: type: string mode: type: string enum: - loopback - phone responses: '202': description: Run kicked. content: application/json: schema: $ref: '#/components/schemas/ApiResponse_RunId' '404': $ref: '#/components/responses/NotFound' security: - apiKey: - agents:write components: parameters: AgentIdPathScoped: name: agentId in: path required: true schema: type: string schemas: ApiResponse_RunId: allOf: - $ref: '#/components/schemas/ApiResponseBase' - type: object required: - data properties: data: type: object required: - runId properties: runId: type: string ApiResponseBase: type: object required: - success properties: success: type: boolean message: type: string errors: type: array items: type: object required: - field - message properties: field: type: string message: type: string ProblemDetails: description: RFC 9457 problem+json. type: object properties: type: type: string format: uri default: about:blank title: type: string status: type: integer detail: type: string instance: type: string code: type: string errors: type: array items: type: object properties: field: type: string message: type: string responses: NotFound: description: Resource not found in org scope. content: application/problem+json: schema: $ref: '#/components/schemas/ProblemDetails' securitySchemes: apiKey: type: oauth2 description: > Flowyte secret API key (`Authorization: Bearer flowyte_sk_live_…`). Scope-gated; is scoped to your organization — a key can never reach another tenant. The listed scopes in each operation's `apiKey` requirement are the scopes that key must hold. The `tokenUrl` is nominal: keys are minted in the dashboard. flows: clientCredentials: tokenUrl: /api/v1/api-keys scopes: agents:read: Read agents. agents:write: Create/update/delete agents, publish, rollback. knowledge:read: Read knowledge sources & preview. knowledge:write: Add/remove knowledge sources, uploads. skills:read: Read skills & skill-types. skills:write: Create/update/delete skills. playbooks:read: Read playbooks & graphs. playbooks:write: Create/update/delete playbooks & graphs. guardrails:read: Read guardrail policies & caller-verification. guardrails:write: Update guardrail policies & caller-verification. numbers:read: Read phone numbers / search availability. numbers:write: Purchase / assign / release numbers. sms:read: Read the org's SMS (10DLC) registration status and numbers. sms:write: Save/submit the 10DLC registration and toggle numbers for SMS. outbound:read: Read outbound contact lists and campaigns. outbound:write: >- Create/import contact lists, create/launch/pause/resume/cancel outbound campaigns, and enqueue single outbound calls. integrations:read: Read connected native integrations (status only — never tokens). integrations:write: Discover schemas, set data scoping, and disconnect a connection. integrations:connect: >- Connect a data source (submit credentials / begin OAuth) — a SEPARATE, higher-privilege scope because connecting INGESTS credentials and opens a new egress path; a discover/scope/author key need not carry it. calls:read: Read conversations, receipts, transcripts, analytics. analytics:read: >- Read the Observe history list, per-agent analytics (the answer-rate summary), and the raw knowledge-gap list. analytics:write: >- Curate knowledge gaps (dismiss / mark in-progress). [M4 — reserved] billing:read: Read plans, wallet, usage. audit:read: Read API/key activity logs. webhooks:write: Manage webhook endpoints. keys:write: Manage secret API keys. chat:read: Read chat sessions & messages. chat:write: Create chat sessions & send messages (server-side). widgets:read: Read widget config & embed snippet. widgets:write: Update widget config. pubkeys:read: Read publishable keys. pubkeys:write: Manage publishable keys. ````