REQUIRED |
KEY |
TYPE |
DESCRIPTION |
Yes |
deploymentToken |
str |
The deployment token used to authenticate access to created deployments. This token is only authorized to predict on deployments in this project, so it is safe to embed this model inside of an application or website.
|
Yes |
deploymentId |
str |
A unique string identifier for the deployment created under the project.
|
No |
arguments |
list |
Positional arguments to the agent execute function.
|
No |
keywordArguments |
dict |
A dictionary where each 'key' represents the paramter name and its corresponding 'value' represents the value of that parameter for the agent execute function.
|
No |
deploymentConversationId |
str |
A unique string identifier for the deployment conversation used for the conversation.
|
No |
externalSessionId |
str |
A unique string identifier for the session used for the conversation. If both deployment_conversation_id and external_session_id are not provided, a new session will be created.
|
No |
regenerate |
bool |
If True, will regenerate the response from the last query.
|
No |
docInfos |
list |
An optional list of documents use for the conversation. A keyword 'doc_id' is expected to be present in each document for retrieving contents from docstore.
|
No |
agentWorkflowNodeId |
str |
An optional agent workflow node id to trigger agent execution from an intermediate node.
|
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.