Agentok Studio is a tool for building multi-agent applications using a drag-and-drop interface. It visualizes agent workflows and allows for customization with Python and AI-generated code.
Built on Microsoft's AutoGen framework, enabling the building of complex applications utilizing multiple agents.
Provides a visual representation of agents and workflows to simplify the building process of multi-agent applications.
Allows for extension or customization using Python, with AI assistance for writing Python code.
Allows you to securely install and configure OpenAI API tokens for usage with the platform's features and services.
Enables you to create, store, and manage notes within the platform's interface, helping to keep track of ideas and information.
Provides up-to-date weather information, displayed in the interface to keep you informed about current conditions.
Offers an execution environment where you can write and run code directly within the platform, enhancing productivity for developers.
Provides an interactive chat feature that allows for direct communication and assistance within the platform.
Provides a set of APIs to manage chat sessions and interactions. Includes endpoints for creating sessions, retrieving session states, sending messages, and concluding sessions.
Supports authentication via OAuth2 Bearer Tokens and API keys. Provides examples for each and supports JMESPath filtering for data extraction.
Allows users to create and manage API keys for authentication. Keys can be generated for different environments and revoked at any time.
Detailed steps to create a functional chatbot using the API, including session creation, message transmission, status checking, and session conclusion.
Allows you to build multi-agent applications visually through a drag-and-drop interface, simplifying the creation and management of workflows.
Integrates search capabilities from external sources into the agent's workflow, enabling real-time information retrieval based on the user's specific query parameters.
Enables you to manage the interactions between different agents seamlessly, ensuring smooth flow of information and tasks within a single workflow.
Includes options for setting termination keywords, execution locations, and retrieval support to customize the agent's behavior during task execution.
Allows you to verify the completion and correctness of prompts and agent responses to ensure that the outputs meet the desired criteria.
AutoGen offers a unified multi-agent conversation framework for using foundation models. It enables seamless conversations by integrating LLMs, tools, and human feedback. This helps multiple agents collaborate on tasks autonomously, even those needing tool execution.
Agentok Studio is a tool built for AutoGen, providing a framework developed by Microsoft Research. It simplifies the orchestration, automation, and optimization of LLM workflows to build next-gen LLM applications.
Designed to act as an AI assistant using LLMs without requiring human input for execution. It can execute tasks like writing Python code based on user messages, with behavior adjustable through a system message.
Acts as a proxy between synthetic agents and humans, triggering code execution when needed, and can function without human intervention. It can automatically run code blocks without needing explicit code execution permission from humans.
An agent that optimizes and manages a group of agents, which can be composed of humans, tools, or LLMs. It facilitates coordination among single-turn or multi-turn, single-role or multi-role agents.
Allows you to integrate the Flowgen chat widget directly into your website, providing a seamless chat experience for visitors.
Allows users to orchestrate workflows that require human intervention for decision-making. This capability gives flexibility to automate parts of the workflow while retaining human control where needed.
Users can customize agents to specify when human input is required, control auto-replies, and define termination conditions to match specific workflow needs.
Provides a visual representation of the workflow, making it easier to understand and manage the orchestration of tasks and interactions between different components.
Create flexible routes using wildcard characters to capture specific or any parts of a query, allowing you to handle different types of requests seamlessly.
Easy-to-follow steps to create a new workflow for customizing responses and implementing complex logic within your app.
Integrate code snippets directly into your workflow for enhanced functionality and to handle specific processing tasks as needed.
An advanced feature allowing for proxy user input and session management to emulate real-time user interactions and test various scenarios.