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Opper AI

Opper AI

AI Tools & Assistants

Hey HN! We’re building Opper AI ( https://opper.ai ), a task-completion API for large language models. You describe tasks once in JSON - inputs, expected output, and a success test — and call a single endpoint. Opper handles prompting, retries, fallbacks, and evaluation. You can check out

What is Opper AI?

Opper AI is an open-source task-completion API designed to simplify how developers integrate large language models into applications. Rather than managing prompts, retries, and error handling separately, developers describe their tasks once in JSON format—specifying inputs, expected outputs, and success criteria—then call a single endpoint to execute them. Opper handles the underlying complexity, including prompt optimization, automatic retries, fallback routing, and result evaluation. The platform supports over 200 models and modalities through a unified interface that maintains compatibility with the OpenAI SDK, making it accessible to developers already familiar with existing tools. Key features include multi-model routing, built-in observability for monitoring performance, and budget caps for cost control. The unified API approach reduces engineering overhead when working with language models, allowing teams to focus on business logic rather than LLM infrastructure. Opper is intended for developers and teams building AI-powered applications who need a straightforward way to define and execute language model tasks at scale. Its open-source nature and focus on operational concerns like monitoring and cost management make it particularly relevant for production deployments where reliability and visibility are important considerations.

Key Features

  • Task-completion API that handles prompting, retries, fallbacks, and evaluation automatically
  • Route 200+ models and modalities through a unified API interface
  • Drop-in OpenAI SDK compatible for easy integration
  • Built-in observability and monitoring for agent performance
  • Security features including budget caps to control costs
  • Define tasks once in JSON with inputs, expected outputs, and success criteria

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Opper AI Pricing

Open source

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