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DELETE
/
api
/
dataframer
/
specs
/
{spec_id}
Python
import os
from dataframer import Dataframer

client = Dataframer(
    api_key=os.environ.get("DATAFRAMER_API_KEY"),  # This is the default and can be omitted
)
client.dataframer.specs.delete(
    spec_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

Documentation Index

Fetch the complete documentation index at: https://docs.dataframer.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

API Key authentication. Format: "Bearer YOUR_API_KEY"

Path Parameters

​
spec_id
string<uuid>
required

UUID of the spec

Query Parameters

​
force
boolean
default:false

If true, delete the spec and all associated runs (including their generated files). If false or omitted, returns an error when runs exist.

Response

Spec deleted successfully