opper.ai• Jul 15, 2025• 1 min read
Show HN: Opper AI – Task-Completion API for LLMsHey 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 our docs here: https://docs.opper.ai.LLM features often fail in production due to fragile, model-specific prompt chains. That’s why we built a task-completion API to make model calls as reliable as any other API: you declare what you want, and it manages the interaction with 80+ proprietary and open-source models. If the output fails, Opper retries or falls back automatically. Successful completions can be saved as task specific dataset entries and serve as examples for future generations. When the completion passes (or retries are exhausted), you get structured output plus a pass/fail flag.For example, gettested.io previously spent weeks rewriting prompts to generate consistent blood test summaries. Wi