> ## Documentation Index
> Fetch the complete documentation index at: https://docs.orq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Delete a webhook

> Deletes a webhook in the current workspace and returns the deleted webhook ID.



## OpenAPI

````yaml delete /v2/webhooks/{id}
openapi: 3.1.0
info:
  title: orq.ai API
  version: '2.0'
  description: orq.ai API documentation
servers:
  - url: https://api.orq.ai
security:
  - ApiKey: []
tags:
  - name: Chunking
    description: Split text into smaller chunks for retrieval and generation workflows.
  - name: File Systems
    description: >-
      Create and manage persistent file systems that agents and MCP clients read
      from and write to.
  - name: Knowledge Bases
    description: Create and manage knowledge bases used by agents and retrieval workflows.
  - name: Memory Stores
    description: Create and manage memory stores, memories, and memory documents.
  - name: Evals
    description: Run an evaluator against a conversation and its result
  - description: List models available through the AI Router.
    name: Models
  - name: Policies
  - name: Activities
    description: >-
      Activities form the timeline of an entity. The timeline mixes
      user-authored comments and version snapshots that record how the entity
      changed over time.
  - name: Alerts
    description: >-
      Alerts evaluate a Reporting API metric on a fixed interval and fire
      notifications through notifiers when the value breaches a threshold. Each
      breach opens a trigger that tracks the incident until the value recovers.
  - name: Annotation Queues
    description: Annotation queues collect spans for human review.
  - name: API keys
    description: >-
      API keys authenticate programmatic access to the workspace. They expose
      opaque tokens, per-domain access grants, and budget and rate-limit
      constraints.
  - name: Audit Logs
    description: Audit logs record workspace entity changes and access-relevant events.
  - name: Budgets
    description: >-
      Budgets govern spend, token usage, and request rate across six scopes:
      workspace, project, identity, API key, provider, and model. Every
      applicable budget is enforced, and the most restrictive limit applies per
      dimension.
  - name: Documentation
    description: >-
      Search the orq.ai documentation. Proxies the workspace's query to the
      hosted docs search index.
  - name: Files
    description: File upload and retrieval operations.
  - name: Finder
    description: >-
      Finder entities back the studio navigation tree, project switcher, and
      cross-project resource references.
  - name: Guardrail Rules
    description: >-
      Guardrail Rules conditionally enforce evaluators and plugins for AI
      Gateway traffic. Rules may be scoped to a project or the whole workspace.
  - name: Identities
    description: >-
      Identities represent end users from your system for usage and engagement
      tracking.
  - name: Management keys
    description: >-
      Management keys are workspace-scoped credentials that authenticate
      programmatic access to workspace administration surfaces (API keys,
      budgets). Unlike project-scoped API keys, a management key always operates
      at the workspace level.
  - name: MCP Gateway
    description: >-
      Register upstream MCP servers, discover and sync their tools, and assemble
      gateways that expose a curated tool surface to MCP clients.
  - name: Model Catalog
    description: >-
      Browse the orq.ai model catalog: every model orq offers, across every
      provider, with pricing, capabilities and benchmark data. List endpoints
      only return models that are not deprecated. This API is public, requires
      no authentication, and is rate limited to 120 requests per minute per IP.
      Responses carry a 5-minute cache-control max-age.
  - name: Model Sharing
    description: >-
      Model sharing controls which projects a workspace model is available to.
      Workspace admins configure a model's Sharing (all projects / selected
      projects); the config ships inline on the models list response, so there
      is no separate read endpoint.
  - name: Notifiers
    description: Notifier destinations used to send delivery and workflow notifications.
  - name: Projects
    description: Projects organize resources within a workspace
  - name: Routing Rules
    description: >-
      Routing Rules conditionally select models and enforce request plugins for
      AI Gateway traffic. Rules are evaluated by ascending priority and may be
      scoped to a project or the whole workspace.
  - name: Skills
    description: >-
      Skills are modular instructions you can use to codify processes and
      conventions
  - name: Smart Routers
    description: >-
      Create and manage workspace Smart Routers. A Smart Router selects a model
      from an eligible pool for each request according to a quality, balanced,
      or cost profile.
  - name: Webhooks
    description: >-
      Create and manage webhooks that deliver workspace events to external HTTPS
      endpoints.
  - name: Workspace Security
    description: >-
      Workspace-level domain verification and IP allowlist controls. These
      operations are restricted to workspace administrators.
  - name: Workspace Settings
    description: >-
      Workspace-level settings managed with a workspace credential. A workspace
      is the tenant, so these settings are a singleton — there is nothing to
      create or delete, only read and update.
  - name: Responses
  - description: Run agents on a cron cadence. Minimum firing interval is 1 hour.
    name: Agent Schedules
  - name: Embeddings
  - name: Logs
    description: >-
      OpenTelemetry log query API. Search, filter, aggregate, and facet log
      records ingested via OTLP.
  - name: Reporting
    description: >-
      GenAI reporting API over canonical analytics rollups. Accepts a metric
      name, time range, grain, group-by, and filters; returns a typed time
      series and optional totals.
  - name: Traces
    description: >-
      Query and inspect ingested trace data: search trace summaries, aggregate
      metrics, and read individual traces and their spans.
externalDocs:
  url: https://docs.orq.ai
  description: orq.ai Documentation
paths:
  /v2/webhooks/{id}:
    delete:
      tags:
        - Webhooks
      summary: Delete a webhook
      description: >-
        Deletes a webhook in the current workspace and returns the deleted
        webhook ID.
      operationId: WebhookDelete
      parameters:
        - name: id
          in: path
          required: true
          schema:
            type: string
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/DeleteWebhookResponse'
      x-code-samples:
        - lang: curl
          label: Core - Delete webhook
          source: |
            curl --request DELETE \
              --url 'https://api.orq.ai/v2/webhooks/webhook_01HZXW2K7Y8Q9M0N1P2R3S4T5V' \
              --header 'Authorization: Bearer $ORQ_API_KEY'
components:
  schemas:
    DeleteWebhookResponse:
      required:
        - id
      type: object
      properties:
        id:
          type: string
          description: ID of the deleted webhook.
  securitySchemes:
    ApiKey:
      type: http
      scheme: bearer
      bearerFormat: JWT

````