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Add these nodes with the pipeline builder: pipeline.add(name="...").<node>(...). Each entry lists the node’s configuration parameters. See the Pipeline reference for add, run, and lifecycle methods.

​
agent — Agent

Agent
Platform docs: Agent
Parameters
​
use_existing_agent
bool
required
​
agent
AcceptsAgent
required
​
model
str
default:"'gpt-5.4'"
​
agent_config
Any
default:"{}"
​
processed_inputs
dict
default:"{}"
​
processed_outputs
dict
default:"{}"
​
provider
str
default:"'openai'"

​
create_skill — Create Skill

Create a new skill with a name, description, and content
Parameters
​
content
str
required
​
name
str
required
​
skill_description
str
default:"''"

​
file_save — File Save

Save a file on the VectorShift platform (under the ‘Files’ tab).
Platform docs: File Save
Parameters
​
files
AcceptsFileList
required
​
name
str
required

​
get_skill — Get Skill

Retrieve the full content of a skill by its ID
Parameters
​
skill
Any | ListType | list[Any]
required

​
list_objects — List Objects

List VectorShift objects accessible to the current user
Parameters
​
include_shared
bool
default:"True"
​
limit
int
default:"0"
​
object_type
str
required
One of: agent, knowledge_base, pipeline, prompt, table, transformation
​
offset
int
default:"0"
​
verbose
bool
default:"False"

​
pipeline — Pipeline

{{collection.pipelines}}
Platform docs: Pipeline
Parameters
​
pipeline
AcceptsPipeline
default:"{}"

​
share_object — Share Object

Share a VectorShift object with another user
Parameters
​
object_type
str
default:"'knowledge_base'"
One of: knowledge_base
​
object
AcceptsKnowledgeBase
​
org_name
str
default:"''"
Enter the name of the organization of the user (leave blank if not part of org)
​
user_identifier
str
required
Enter the username or email of the user you want to share with

​
text — Text

Accepts Text from upstream nodes and allows you to write additional text / concatenate different texts to pass to downstream nodes.
Parameters
​
text
str
required

​
transformation — Transformation

Use Python code to create a custom node