API Overview
Developer Guides
Python
from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = UpdateAgentDefinitionRequest(name="Example")
result = client.agents.update("agent_id_value", body=body)
print(result){
"id": "<string>",
"catalog_urn": "<string>",
"version": "<string>"
}Agents
Update Agent
PUT
/
agents
/
{agent_id}
Python
from meibel import MeibelClient
client = MeibelClient(api_key="your-api-key")
# Create request body
body = UpdateAgentDefinitionRequest(name="Example")
result = client.agents.update("agent_id_value", body=body)
print(result){
"id": "<string>",
"catalog_urn": "<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.
Authorizations
Path Parameters
Body
application/json
Request model for updating an agent definition. Name is intentionally excluded as it serves as the stable identifier for a version chain and cannot be changed.
Human-readable name of the agent
System prompt/instructions
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
Show child attributes
Catalog URNs of artifacts the agent produces
Confidence scoring module names to apply during execution
LLM temperature
Required range:
0 <= x <= 2Maximum tokens in response
Tags for categorization
UI icon identifier
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