

Inferable
Overview :
"Inferable is a platform focused on conversational AI agents for internal operations, designed to assist enterprises and teams in integrating internal systems, fragmented codebases, and one-off scripts. Through conversational agents, companies can decrease the time spent on developing internal tools, boosting work efficiency. The platform supports SDKs for various programming languages, including Node.js, Golang, and C#, with plans for expanding to more languages. At its core is a distributed message queue that ensures the scalability and reliability of AI automation. Additionally, Inferable offers a wealth of features such as distributed function orchestration, human-in-the-loop, code reuse, language support, local execution, observability, and structured outputs. It also includes a built-in ReAct agent capable of solving complex problems through step-by-step reasoning and invoking functions to address sub-problems. Completely open-source and supporting self-hosting, users can run it on their own infrastructure to maintain full control over their data and computations. Although pricing and specific positioning details are not explicitly stated on the page, the features and target audience indicate a focus on enterprise-level users, particularly those who need efficient internal operations and data privacy protection."
Target Users :
Inferable is primarily aimed at enterprise-level users who require efficient internal operations and data privacy protection, particularly fast-growing engineering teams. By integrating internal systems and fragmented codebases, Inferable helps teams reduce the time spent on developing internal tools, thereby enhancing work efficiency. It supports SDKs for multiple programming languages and boasts powerful features that enable rapid adaptation to various companies' tech stacks and business needs. Moreover, its open-source and self-hosted nature provides users with greater flexibility and control over their data, making it suitable for enterprises with stringent data privacy and security requirements.
Use Cases
Internal support teams can use Inferable to quickly respond to IT support requests from employees, automatically dispatching tasks via conversational agents.
Development teams can leverage Inferable to integrate codebases and scripts, reducing manual interventions and increasing development efficiency.
Data teams can utilize Inferable's distributed function orchestration features to automate data processing and analysis.
Features
Distributed function orchestration: Achieve at least once delivery guarantees through a distributed message queue, ensuring scalability and reliability of AI automation.
Human in the loop: Pause function execution through a simple API to wait for human response, seamlessly pausing and resuming regardless of response time.
Code reuse: Decorate existing functions and APIs without the need to learn a new framework.
Language support: Supports multiple languages including Node.js, Golang, and C#, with plans for further expansion.
Local execution: Run functions on local infrastructure, ensuring data security without enabling external connections or configuring a load balancer.
Observability: Provides end-to-end observability of AI workflows and function calls without configuration.
Structured output: Enforces structured output and uses language primitives for composition, piping, and chaining outputs.
Built-in ReAct agent: Solves complex problems through step-by-step reasoning and invokes functions to resolve sub-problems.
How to Use
Visit the official Inferable website and click 'Get Started' to begin.
Read the official documentation to understand how to install and configure the SDK.
Select the appropriate programming language SDK for your project (e.g., Node.js, Golang, or C#).
Install the SDK in your local environment and follow the documentation for initialization configuration.
Use the SDK to decorate existing functions or write new ones to integrate with the Inferable platform.
Configure the conversational agents and workflows through Inferable's web interface or API.
Run your functions in a local or self-hosted environment to ensure data security and privacy.
Monitor and optimize workflows, utilizing Inferable's observability features for troubleshooting.
Expand functionalities as needed, leveraging Inferable's language support and distributed orchestration capabilities.
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