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PUT
/
artifact-schemas
/
{artifact_id}
Python
from meibel import MeibelClient

client = MeibelClient(api_key="your-api-key")

# Create request body
body = UpdateAgentArtifactRequest(name="Example")

result = client.artifact_schemas.update("artifact_id_value", body=body)
print(result)
{
  "id": "<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

​
Meibel-API-Key
string
header
required

Path Parameters

​
artifact_id
string
required

Body

application/json

Request model for updating an agent artifact. Name is intentionally excluded as it serves as the stable identifier for a version chain and cannot be changed.

​
display_name
string | null

Human-readable name of the artifact

​
type
enum<string> | null

Artifact type

Available options:
json,
markdown,
csv,
yaml,
text,
html,
pdf
​
description
string | null

Description of the artifact

​
required
boolean | null

Whether agent must produce this artifact

​
schema_def
Schema Def · object

Optional override for the tool's parameters schema

​
max_size_bytes
integer | null

Maximum artifact size in bytes

​
storage_strategy
enum<string> | null

Storage strategy

Available options:
inline,
gcs,
auto

Response

Successful Response

​
id
string
required
​
version
string
required