Endpoints

Explore all available KLGG API endpoints to manage workflows, agents, and integrations seamlessly.

KLGG offers a variety of endpoints to interact with workflows, agents, and integrations. This guide provides an overview of all key endpoints, their usage, and example requests.

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1. Base URL

All API requests start with the following base URL:

plaintextCopy codehttps://api.klgg.dev/v1/

Make sure to include your KLGG API Key in the request headers:

httpCopy codeAuthorization: Bearer YOUR_KLGG_API_KEY

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2. Endpoints Overview

Endpoint

Method

Description

/workflows

POST

Create a new AI workflow.

/workflows/{id}

GET

Retrieve details of a specific workflow.

/agents

POST

Deploy a new AI agent.

/agents/{id}

GET

Get details of a deployed agent.

/integrations

GET

List all supported integrations.

/vector-stores

GET

Retrieve supported vector stores.

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3. Endpoint Details and Examples

1. Create a Workflow

Endpoint:

httpCopy codePOST /workflows

Request Example:

jsonCopy code{
  "name": "telegram-chatbot",
  "input": {
    "platform": "telegram",
    "parameters": {
      "token": "YOUR_TELEGRAM_BOT_TOKEN"
    }
  },
  "processing": {
    "provider": "openai",
    "model": "gpt-4",
    "api_key": "YOUR_OPENAI_KEY",
    "prompt": "Summarize this text."
  },
  "output": {
    "platform": "telegram"
  }
}

Response Example:

Copy

Copy

Copy

jsonCopy code{
  "id": "wf_123456",
  "status": "created",
  "name": "telegram-chatbot",
  "created_at": "2024-06-18T12:00:00Z"
}

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2. Get Workflow Details

Endpoint:

httpCopy codeGET /workflows/{id}

Request Example:

httpCopy codeGET /workflows/wf_123456
Authorization: Bearer YOUR_KLGG_API_KEY

Response Example:

jsonCopy code{
  "id": "wf_123456",
  "name": "telegram-chatbot",
  "status": "active",
  "created_at": "2024-06-18T12:00:00Z",
  "steps": [
    {"input": "telegram"},
    {"processing": "openai"},
    {"output": "telegram"}
  ]
}

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3. Deploy an AI Agent

Endpoint:

httpCopy codePOST /agents

Request Example:

jsonCopy code{
  "workflow_id": "wf_123456",
  "parameters": {
    "auto_restart": true
  }
}

Response Example:

jsonCopy code{
  "id": "agent_789xyz",
  "status": "running",
  "workflow_id": "wf_123456",
  "created_at": "2024-06-18T12:05:00Z"
}

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4. Get Agent Details

Endpoint:

httpCopy codeGET /agents/{id}

Request Example:

httpCopy codeGET /agents/agent_789xyz
Authorization: Bearer YOUR_KLGG_API_KEY

Response Example:

jsonCopy code{
  "id": "agent_789xyz",
  "status": "running",
  "workflow_id": "wf_123456",
  "uptime": "12 hours 45 minutes"
}

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5. List All Integrations

Endpoint:

httpCopy codeGET /integrations

Request Example:

httpCopy codeGET /integrations
Authorization: Bearer YOUR_WAVE
BLOCK_API_KEY

Response Example:

jsonCopy code{
  "integrations": [
    {"provider": "openai", "models": ["gpt-3.5", "gpt-4"]},
    {"provider": "claude", "models": ["claude-2"]},
    {"provider": "gemini", "models": ["gemini-1"]},
    {"provider": "perplexity", "services": ["search"]},
    {"provider": "custom-api", "support": true}
  ]
}

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6. Retrieve Supported Vector Stores

Endpoint:

httpCopy codeGET /vector-stores

Request Example:

httpCopy codeGET /vector-stores
Authorization: Bearer YOUR_KLGG_API_KEY

Response Example:

jsonCopy code{
  "vector_stores": [
    "Pinecone",
    "MongoDB Atlas",
    "LanceDB",
    "Neo4j"
  ]
}

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4. Error Responses

API responses include standardized error codes for troubleshooting:

Code

Message

Description

400

Bad Request

Invalid request data.

401

Unauthorized

Missing or invalid API key.

404

Not Found

Resource does not exist.

429

Too Many Requests

Rate limit exceeded.

500

Internal Server Error

Something went wrong on our end.

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Conclusion

KLGG provides a robust set of endpoints to create workflows, deploy agents, and integrate with AI models and vector stores. Use these APIs to build scalable AI solutions with ease.

For additional resources and advanced examples, explore the full API Reference section.