from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = CreateAgentDefinitionRequest(name="Example")
result = client.agents.create(body=body)
print(result){
"id": "<string>",
"name": "<string>",
"display_name": "<string>",
"version": "<string>"
}from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = CreateAgentDefinitionRequest(name="Example")
result = client.agents.create(body=body)
print(result){
"id": "<string>",
"name": "<string>",
"display_name": "<string>",
"version": "<string>"
}Documentation Index
Fetch the complete documentation index at: https://docs.meibel.ai/llms.txt
Use this file to discover all available pages before exploring further.
Request model for creating a new agent definition.
Human-readable name of the agent (letters, numbers, and spaces only). Converted to kebab-case internally.
System prompt/instructions for the agent
Agent type
Description of the agent
LLM model to use
List of fallback models
Datasource IDs the agent has access to
Tools configuration
Show child attributes
Catalog URNs of artifacts the agent produces
Confidence scoring module names to apply during execution
LLM temperature
0 <= x <= 2Maximum tokens in response
Tags for categorization
UI icon identifier
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