FETCH HIVE
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  • 👋Welcome
  • Getting Started
    • Prompt Quick Start
    • Workflow Quick Start
  • Agent Quick Start
  • 💬Running Prompts
    • Run with API
  • 🚀Building Workflows
    • Workflow Steps
      • AI
        • Prompt
        • Agent
      • Web Research
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        • Google News
        • Bing Search
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        • Website Scrape
      • Utility
        • Call API
        • Format JSON
      • Files
        • Document Upload to Text
        • Document URL to Text
  • Testing and Iteration
  • Publishing and Versioning
  • Error Handling
  • 🚀Running Workflows
    • Run with API
  • Retrieve a Workflow
  • 🤖AGENTS
    • Build an Agent
    • Send a Message
    • API
      • Create an Agent
      • Retrieve an Agent
      • Delete an Agent
      • Chats
        • Retrieve a Chat
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        • Update a Chat
        • Delete a Chat
        • Clear Chat Messages
      • Messages
        • List Messages
  • 💾Datasets
    • Build a Dataset
    • Test a Dataset
    • API
      • Retrieve a Dataset
      • Create a Dataset
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      • Delete a Dataset
      • Dataset Items
        • Retrieve a Dataset Item
        • Create a Dataset Item
        • Update a Dataset Item
        • Delete a Dataset Item
        • Regenerate a Dataset Item
  • 🏢Your Workspace
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  1. Running Prompts

Run with API

Trigger your Fetch Hive Prompts via endpoints.

PreviousAgent Quick StartNextWorkflow Steps

Last updated 3 months ago

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💬

Invoke a prompt

post

Trigger a prompt to run

Authorizations
Body
endpointstringRequiredExample: Summarize scraped website
variantstringRequiredExample: production
streamingbooleanOptionalDefault: true
Responses
200
Successful response
application/json
default
Error
application/json
post
POST /v1/invoke HTTP/1.1
Host: api.fetchhive.com
Authorization: YOUR_API_KEY
Content-Type: application/json
Accept: */*
Content-Length: 134

{
  "endpoint": "Summarize scraped website",
  "variant": "production",
  "inputs": {
    "first_input": "text",
    "second_input": "text"
  },
  "streaming": true
}
{
  "model": "text",
  "usage": {
    "prompt_tokens": 1,
    "completion_tokens": 1
  },
  "duration": 1,
  "output": "text",
  "version_token": "text",
  "endpoint_token": "text"
}