Tool Integration
This docs site is currently under construction although this github README below should suffice for now.
Julep provides a flexible system for integrating various types of tools that agents can use during interactions. These tools enable agents to perform actions, retrieve information, or interact with external systems.
Types of Tools
User-defined Functions
Function signatures that you provide to the model
Similar to OpenAI's function-calling feature
Example:
System Tools (upcoming)
Built-in tools for calling Julep APIs
Can trigger task executions, append to metadata fields, etc.
Executed automatically when needed, no client-side action required
Built-in Integrations (upcoming)
Integrated third-party tools from providers like composio and anon
Support planned for various langchain toolkits (Github, Gitlab, Gmail, Jira, MultiOn, Slack)
Executed directly on the Julep backend
Additional runtime parameters can be set in agent/session/user metadata
Webhooks & API Calls (upcoming)
Julep can build natural-language tools from OpenAPI specs
Uses langchain's NLA toolkit under the hood
Additional runtime parameters loaded from metadata fields
Partial Application of Arguments
Julep allows for partial application of arguments to tools using the x-tool-parameters
field in metadata. This is useful for fixing certain parameters for a tool. Example:
Resolving Parameters with the Same Name
When multiple scopes (user, agent, session) define the same parameter, Julep follows a precedence order:
Session
User
Agent
This allows for flexible configuration of tools across different scopes while maintaining clear rules for parameter resolution.
By providing these various tool integration options and configuration capabilities, Julep enables the creation of powerful and flexible agent-based applications that can interact with a wide range of external systems and data sources.
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