Overview of Inferable: Open-source Platform for AI Agent Creation

Inferable is an open-source platform designed to facilitate the rapid development and deployment of AI agents. It integrates seamlessly with existing codebases, APIs, and data, making it a versatile tool for developers looking to enhance their applications with advanced AI capabilities.

Key Features

Managed LLM-Engineering Platform

Inferable offers a fully managed platform that simplifies the handling of state, reliability, and orchestration for custom Large Language Model (LLM) based applications. It is developer-first and API-driven, allowing for easy integration and management.

• Human in the Loop: Incorporates human approval and intervention seamlessly into AI workflows, with capabilities to pause and resume execution while preserving full context.
• Structured Outputs: Provides a primitive for extracting typed, schema-conforming data from LLMs, including automatic parsing, validation, and retries for non-conforming outputs.
• Durable Workflows as Code: Features stateful orchestration units that manage complex, multi-step processes. These workflows are defined in code but executed in the platform's compute environment, ensuring fault tolerance and context preservation.
• Agents with Tool Use: Supports autonomous LLM-based reasoning engines that utilize tools to achieve predefined goals, enhancing the functionality and autonomy of AI agents.

Integration and Security

Inferable is designed to bolt on top of existing infrastructure, enhancing security and integration without extensive modifications.

• Observability: Offers end-to-end observability through a developer console and allows integration with existing observability stacks.
• On-premise Execution: Enables workflows to run on a user's own infrastructure, eliminating the need for separate deployment steps.
• No Inbound Connections: Maintains enhanced security by requiring outbound-only connections, thus securing infrastructure without the need to open inbound ports or expose internal services.

Scalability and Reliability

The platform is built to be enterprise-ready, adapting easily to existing architectures and scaling needs.

• Managed Cloud: Supports auto-scaling and high availability, ensuring that the platform can handle varying loads efficiently.
• Load Balancer and Queues: Distributes workflow load fairly and handles asynchronous actions efficiently across all workflows.
• Intermediate Caching, Retrying, and Timeouts: Automatically caches intermediate results, retries LLM calls, agent interactions, and tool use, and handles timeouts to improve reliability and performance.

Open Source and Self-hostable

Inferable is completely open-source, providing developers with the flexibility to host it on their own infrastructure. This ensures full control over data and compute resources, aligning with needs for customization and security.

Usage and Community

Inferable is trusted by fast-moving engineering teams in production environments and is supported by a growing open-source community. It offers comprehensive documentation and community support through platforms like Slack and GitHub, facilitating collaboration and innovation among developers.

In summary, Inferable provides a robust, flexible, and secure platform for developing and managing AI agents, making it a valuable tool for developers looking to leverage advanced AI capabilities in their applications.

Related Apps