# Endpoints

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

Aivara 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:

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```
plaintextCopy codehttps://api.aivara.dev/v1/
```

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

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```
httpCopy codeAuthorization: Bearer YOUR_AIVARA_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:**

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```
httpCopy codePOST /workflows
```

**Request Example:**

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```
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:**

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```
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:**

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```
httpCopy codeGET /workflows/{id}
```

**Request Example:**

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```
httpCopy codeGET /workflows/wf_123456
Authorization: Bearer YOUR_AIVARA_API_KEY
```

**Response Example:**

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```
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:**

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```
httpCopy codePOST /agents
```

**Request Example:**

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

**Response Example:**

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```
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:**

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```
httpCopy codeGET /agents/{id}
```

**Request Example:**

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```
httpCopy codeGET /agents/agent_789xyz
Authorization: Bearer YOUR_AIVARA_API_KEY
```

**Response Example:**

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```
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:**

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```
httpCopy codeGET /integrations
```

**Request Example:**

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```
httpCopy codeGET /integrations
Authorization: Bearer YOUR_WAVE
BLOCK_API_KEY
```

**Response Example:**

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```
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:**

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```
httpCopy codeGET /vector-stores
```

**Request Example:**

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```
httpCopy codeGET /vector-stores
Authorization: Bearer YOUR_AIVARA_API_KEY
```

**Response Example:**

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```
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**

Aivara 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.