Introduction
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Agent Hub
Agent flow canvas
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Get started
Install and configure a Secure Agent
Machine requirements
External library installation for Secure Agent startup
Secure Agent installation
Environment variable configuration for proxy servers
External library installation for custom Python code
Create connections and tools
Model connections
Azure OpenAI connection details
Amazon Bedrock connection details
Google Gemini connection details
Creating a model connection
Memory connections
PostgreSQL Saver connection details
SQLite Saver connection details
Creating a memory connection
Embedding model connections
AzureAI embedding model connection details
Amazon Bedrock Embedding model connection details
Google Gemini embedding model connection details
Creating an embedding model connection
Tool connections
Agentforce Tool
Azure AI Search Retriever Tool
MCP Tool
Pinecone Retriever tool
Python Code tool
REST API Tool
S3 File Parser and Loader tool
Salesforce Tool
Serper Search tool
Spider Web Tool
Creating a tool connection
Build an AI agent
Agent blocks
Planning prompts
Inline subagents and tools
Advanced properties
Agent flow variables
Default values
Creating agent flow variables
Deleting agent flow variables
Assignment blocks
Python blocks
Tool blocks
Sticky notes
Flow controls
Saving and validating the flow
Deploy the agent
Deployment properties
REST API request and response
Session IDs
Deploying an agent flow
Undeploying an agent flow
Test the agent
Monitor agents
View conversation logs
Download monitoring details
Organize assets
Copying projects, folders, and assets
Moving folders and assets
Renaming projects, folders, and assets
Deleting projects, folders, and assets
Tags
Creating tags
Assigning tags
Editing and deleting tags
Asset dependencies
Permissions
Rules and guidelines for permissions
Configuring permissions
Asset migration
Dependent objects
Runtime environments
Asset export
Export files
Exporting assets
Asset import
Asset name conflicts
Runtime environment selection
Asset tags
Importing assets
User profile
Administration
Asset and feature privileges
AI Agent Runtime service
AI Agent Runtime service properties
Introduction
AI Agent Runtime service
HOME_PAGE
GET_STARTED
NEW_OBJECT_DIALOG
NEW_MODEL_AZUREOPENAI
NEW_MODEL_BEDROCK
NEW_MODEL_GOOGLEGEMINI
NEW_MEMORY_POSTGRESQL
NEW_MEMORY_SQLITE
NEW_EMBEDDING_AZUREAI
NEW_EMBEDDING_BEDROCK
NEW_EMBEDDING_GOOGLEGEMINI
NEW_TOOL_AGENTFORCE
NEW_TOOL_AZUREAISEARCH
NEW_TOOL_MCP
NEW_TOOL_PINECONE
NEW_TOOL_PYTHONCODE
NEW_TOOL_RESTAPI
NEW_TOOL_S3FILELOADER
NEW_TOOL_SALESFORCE
NEW_TOOL_SERPERSEARCH
NEW_TOOL_SPIDERWEB
WORKFLOW_CANVAS
HL_AGENTFLOWVAR
HL_DEPLOYAGENT
DEPLOY_DIALOG
HL_TESTAGENT
MONITOR_ALL
MONITORING_PAGE
EXPLORE_PAGE
DEPENDENCY_PAGE
EDIT_PERMISSION_PAGE
MIGTASKS_PAGE
EXPORT_OBJECT_DIALOG
OBJECT_IMPORT_PAGE
IMPORT_OBJECT_DIALOG
USER_PROFILE_PAGE