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POST
/
datasets
/
{dataset_id}
/
pipeline
/
run
A valid request URL is required to generate request examples
"<string>"

Documentation Index

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

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

Authorizations

Authorization
string
header
required

API Key authentication. For all API requests, include your API Key in the Authorization HTTP Header, prefixed with Bearer. Example: Authorization: Bearer {API_KEY}. Strongly recommend storing your API Key on the server-side, not shared or stored on the client-side, to avoid possible API-Key leakage that can lead to serious consequences.

Path Parameters

dataset_id
string<uuid>
required

Knowledge base ID.

Body

application/json
inputs
object
required

Key-value pairs for pipeline input variables defined in the workflow. Pass {} if the pipeline has no input variables.

datasource_type
enum<string>
required

Type of the datasource. Determines which fields are expected in datasource_info_list items.

Available options:
local_file,
online_document,
website_crawl,
online_drive
datasource_info_list
(Local File · object | Online Document · object | Website Crawl · object | Online Drive · object)[]
required

List of datasource objects to process. The expected item structure depends on datasource_type.

start_node_id
string
required

ID of the node to start pipeline execution from.

is_published
boolean
required

Whether to run the published or draft version of the pipeline. true runs the latest published version; false runs the current draft (useful for testing unpublished changes).

response_mode
enum<string>
required

Response mode for the pipeline execution. streaming returns a Server-Sent Events stream, blocking waits and returns the complete result.

Available options:
streaming,
blocking

Response

Pipeline execution result. Format depends on response_mode: streaming returns a text/event-stream, blocking returns a JSON object.

Server-Sent Events stream. Returned when response_mode is streaming.

Each line is data: {JSON}\n\n. Key events: workflow_started (execution began), node_started / node_finished (per-node progress with node_id, node_type, status, inputs, outputs), workflow_finished (final result with status, outputs, total_tokens, elapsed_time), ping (keepalive).