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Retrieve a list of all AI agents in your organization.

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Examples

import requests

url = "https://labs.chonkie.ai/api/v1/agents"
headers = {
    "Authorization": "Bearer YOUR_API_KEY"
}

response = requests.get(url, headers=headers)
agents = response.json()

print(f"Found {len(agents)} agents")
for agent in agents:
    print(f"- {agent['name']} ({agent['slug']})")
    print(f"  Model: {agent['model']}")

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Request

This endpoint takes no parameters.

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Response

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Returns

Array of agent objects with full configuration. Each agent object contains the following fields Basic Information
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id
string
Unique agent identifier.
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slug
string
URL-friendly unique identifier for the agent.
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name
string
Display name of the agent.
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description
string
Description of the agent’s purpose and capabilities.
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status
string
Agent status (active, inactive, etc.).
Model Configuration
​
model
string
The LLM model used by the agent.
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systemPrompt
string
System prompt that defines the agent’s behavior and personality.
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temperature
float
Temperature setting for response randomness (0.0-2.0).
Knowledge Integration
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useContext
boolean
Whether knowledge base context injection is enabled.
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knowledge
string
Slug of the connected knowledge base (if any).
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maxContextChunks
integer
Maximum number of knowledge base chunks to include in context.
Metadata
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organizationSlug
string
Organization that owns this agent.
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metadata
object
Additional custom metadata.
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createdAt
string
Timestamp when the agent was created.
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updatedAt
string
Timestamp when the agent was last updated.
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