It is an open-source developer platform designed to reliably integrate probabilistic large language model (LLM) reasoning into existing systems using a code-first and API-driven approach.
It is an open-source developer platform designed to reliably integrate probabilistic large language model (LLM) reasoning into existing systems using a code-first and API-driven approach. Inferable enables developers to connect distributed systems by registering them as tools that agents can use, creating powerful agents capable of multi-step reasoning and action-taking. These agents interact with tools, which are asynchronous functions with schema inputs, running on the user’s infrastructure either as part of their codebase or as separate services deployed in their virtual private cloud (VPC).
Inferable provides a vertically integrated agent orchestration system, leveraging a distributed message queue with at-least-once delivery guarantees to reliably connect tools and agents. Developers can compose probabilistic agent interactions with deterministic, durable workflows using a “workflow as code” approach, enabling the creation of robust, production-ready processes. The platform supports familiar programming patterns, allowing users to create tools, agents, and workflows without learning new frameworks.
The platform includes a durable execution engine for composing agent actions with deterministic code, enabling the creation of complex workflows. It offers first-class support for Node.js, Golang, and C#, with plans to expand to more languages. Functions run on the user’s infrastructure, ensuring that LLMs cannot perform actions beyond what the functions allow. The SDK long-polls for instructions, eliminating the need for incoming connections or load balancers.
Inferable provides end-to-end observability into AI workflows and function calls without requiring configuration. It enforces structured outputs and allows developers to compose, pipe, and chain agents using language primitives. The platform includes a built-in ReAct agent for solving complex problems through step-by-step reasoning and function calls.
Inferable is completely open-source and can be self-hosted, giving users full control over their data and compute. It is enterprise-ready, offering features like distributed orchestration for tools, durable workflows as code, on-premise execution, and composable agents. The platform ensures data privacy and security, with no requirement for incoming connections to user infrastructure and no retention of processed data. Users can control which models are used and can integrate their own models both within and outside the managed runtime.
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