{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"hn-47950283","slug":"a-new-benchmark-for-testing-llms-for-deterministic","name":"A new benchmark for testing LLMs for deterministic outputs","type":"benchmark","url":"https://interfaze.ai/blog/introducing-structured-output-benchmark","page_url":"https://unfragile.ai/a-new-benchmark-for-testing-llms-for-deterministic","categories":["testing-quality"],"tags":["hackernews","show-hn"],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"hn-47950283__cap_0","uri":"capability://data.processing.analysis.deterministic.output.benchmarking.for.llms","name":"deterministic output benchmarking for llms","description":"This capability involves a structured approach to evaluate the consistency of outputs from large language models (LLMs) under controlled conditions. It utilizes a predefined set of input prompts and expected outputs to assess whether the model produces the same results across multiple runs, thereby ensuring reliability. The benchmark is designed to be extensible, allowing for the addition of new tests and metrics as LLM architectures evolve, which distinguishes it from static testing frameworks.","intents":["How can I evaluate the consistency of my LLM's outputs?","What benchmarks can I use to test my model for deterministic behavior?","How do I ensure my LLM produces reliable results across different sessions?"],"best_for":["AI researchers developing and testing LLMs","developers seeking to validate model outputs"],"limitations":["Limited to deterministic output testing; does not evaluate model performance on varied tasks","Requires careful selection of input prompts to ensure meaningful results"],"requires":["Python 3.8+","Access to the LLM API or local model instance"],"input_types":["text"],"output_types":["structured data","performance metrics"],"categories":["data-processing-analysis","model-evaluation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"low","permissions":["Python 3.8+","Access to the LLM API or local model instance"],"failure_modes":["Limited to deterministic output testing; does not evaluate model performance on varied tasks","Requires careful selection of input prompts to ensure meaningful results","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.58,"quality":0.12,"ecosystem":0.21000000000000002,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.35,"ecosystem":0.15,"match_graph":0.2,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.327Z","last_scraped_at":"2026-05-04T08:10:10.018Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=a-new-benchmark-for-testing-llms-for-deterministic","compare_url":"https://unfragile.ai/compare?artifact=a-new-benchmark-for-testing-llms-for-deterministic"}},"signature":"hM6NQr9IRNrUD9Zhk6axNnPbLUiVUE4XrOr7BQamNvLx66ks+KZ8kWS0JISXBCh9GfeVHREO92vLULmmeMtkCQ==","signedAt":"2026-06-15T06:51:45.916Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/a-new-benchmark-for-testing-llms-for-deterministic","artifact":"https://unfragile.ai/a-new-benchmark-for-testing-llms-for-deterministic","verify":"https://unfragile.ai/api/v1/verify?slug=a-new-benchmark-for-testing-llms-for-deterministic","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}