What is Inferable?
Inferable is a developer-first, API-driven platform designed for building, and deploying custom Language Learning Model (LLM)-based applications. It offers a fully managed environment, handling state, reliability, and orchestration.
The platform is built to integrate into existing infrastructure with outbound-only connections ensuring enhanced security without any requirement of opening inbound ports. Inferable is also open-source and can be self-hosted, for complete control over data and compute.
Features
- Human in the Loop: Seamlessly integrate human approval and intervention into AI workflows.
- Structured Outputs: Get typed, schema-conforming data from LLMs, with automatic parsing, validation, and retries.
- Durable Workflows as Code: Stateful orchestration units that coordinate complex, multi-step processes, defined in code but executed in your compute.
- Agents with Tool Use: Autonomous LLM-based reasoning engines that can use tools to achieve goals.
- Observability: End-to-end observability with a developer console, and integration with existing observability stacks.
- On-premise Execution: Workflows run on your own infrastructure, with no deployment step required.
Use Cases
- Developing AI applications requiring human review and approval.
- Extracting structured data from various LLMs.
- Creating complex, multi-step processes that require stateful orchestration.
- Building autonomous agents capable of using tools to accomplish specific tasks.
- Integrating LLM applications securely within existing infrastructure.
FAQs
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What is a Workflow Execution?
A single triggering of the workflow. Each time your workflow is triggered, it counts as one execution. We don't bill you for cached executions. -
What is Concurrency?
The maximum number of workflows that can execute simultaneously. A concurrency of 1 means only one workflow can execute at one time. -
What does BYO Models mean?
Inferable provides the ability to bring your own models, configurable via the SDKs. This gives you flexibility to use your preferred AI models and providers while leveraging our orchestration platform.
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Inferable Uptime Monitor
Average Uptime
100%
Average Response Time
357.97 ms
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