{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_libretto","slug":"libretto","name":"Libretto","type":"product","url":"https://getlibretto.com","page_url":"https://unfragile.ai/libretto","categories":["prompt-engineering","testing-quality"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_libretto__cap_0","uri":"capability://testing.a.b.test.prompt.variations","name":"a/b test prompt variations","description":"Compare multiple prompt versions side-by-side against the same input to measure performance differences quantitatively. Runs parallel tests across variations and surfaces which prompt performs better based on defined metrics.","intents":["I want to know which prompt version produces better results","I need to compare how different phrasings affect model output quality","I want to eliminate guesswork from prompt optimization"],"best_for":["data science teams","AI researchers","production optimization teams"],"limitations":["requires predefined evaluation criteria","testing cost scales with number of variations and API calls"],"requires":["LLM API credentials","test inputs","evaluation metrics"],"input_types":["text prompts","test datasets"],"output_types":["comparative metrics","performance rankings"],"categories":["testing","optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_1","uri":"capability://testing.batch.test.prompts.across.multiple.models","name":"batch test prompts across multiple models","description":"Execute the same prompt or prompt variations simultaneously against different LLM providers (OpenAI, Anthropic, etc.) to evaluate model-specific performance. Aggregates results for cross-model comparison.","intents":["I want to see how my prompt performs on different models","I need to choose between multiple LLM providers for my use case","I want to understand model-specific behavior for the same prompt"],"best_for":["enterprises evaluating LLM providers","teams with multi-model strategies","researchers comparing model capabilities"],"limitations":["requires API access to multiple providers","costs multiply with each model tested","limited to supported LLM APIs"],"requires":["credentials for multiple LLM APIs","batch test configuration"],"input_types":["prompts","test datasets"],"output_types":["cross-model performance metrics","comparative analysis"],"categories":["testing","evaluation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_10","uri":"capability://comparison.compare.prompt.versions.side.by.side","name":"compare prompt versions side-by-side","description":"Display multiple prompt versions with their differences highlighted, making it easy to see what changed between iterations and how those changes affected performance.","intents":["I want to see exactly what changed between two prompt versions","I need to understand the relationship between prompt changes and performance differences","I want to review prompt evolution visually"],"best_for":["teams iterating on prompts","code reviewers","quality-focused organizations"],"limitations":["diff visualization may be complex for large prompts"],"requires":["multiple prompt versions"],"input_types":["prompt versions"],"output_types":["diff views","comparison reports"],"categories":["comparison","version-control"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_11","uri":"capability://testing.reproduce.prompt.test.results","name":"reproduce prompt test results","description":"Re-run previous prompt tests with identical configurations to verify results are consistent and reproducible. Ensures prompt performance claims are reliable and not due to randomness.","intents":["I want to verify that a prompt's performance is consistent","I need to reproduce results for compliance or validation","I want to ensure my prompt improvements are real, not random variation"],"best_for":["enterprises with reproducibility requirements","researchers","regulated industries"],"limitations":["LLM non-determinism may cause slight variations","requires saved test configurations"],"requires":["original test configuration","LLM API access"],"input_types":["saved test configurations"],"output_types":["test results","reproducibility reports"],"categories":["testing","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_12","uri":"capability://productivity.manage.prompt.templates","name":"manage prompt templates","description":"Create reusable prompt templates with variable placeholders that can be customized for different use cases. Enables teams to build on proven prompt structures without starting from scratch.","intents":["I want to create a standard prompt structure my team can reuse","I need to ensure consistency across similar prompts","I want to reduce time spent writing new prompts from scratch"],"best_for":["teams with multiple similar use cases","enterprises standardizing prompt approaches","organizations scaling prompt usage"],"limitations":["templates require upfront design effort","may be too rigid for highly specialized use cases"],"requires":["template design and documentation"],"input_types":["prompt templates","variable definitions"],"output_types":["instantiated prompts","template library"],"categories":["productivity","standardization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_2","uri":"capability://evaluation.define.and.apply.evaluation.metrics","name":"define and apply evaluation metrics","description":"Create custom evaluation criteria and scoring rules to assess prompt outputs against defined quality standards. Applies metrics consistently across all prompt tests to enable quantitative comparison.","intents":["I want to measure prompt quality objectively instead of subjectively","I need to define what 'good' means for my specific use case","I want consistent evaluation criteria across my team"],"best_for":["teams with clear quality standards","enterprises requiring measurable outcomes","researchers with specific evaluation needs"],"limitations":["metric design requires domain expertise","some quality dimensions are hard to quantify"],"requires":["understanding of desired output characteristics","metric configuration knowledge"],"input_types":["evaluation criteria definitions","expected outputs"],"output_types":["metric scores","evaluation reports"],"categories":["evaluation","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_3","uri":"capability://collaboration.version.control.prompts","name":"version control prompts","description":"Track changes to prompts over time with full version history, allowing teams to revert to previous versions, compare changes, and maintain an audit trail of prompt evolution.","intents":["I want to track who changed the prompt and when","I need to revert to a previous prompt version that worked better","I want to understand how a prompt evolved over time"],"best_for":["enterprise teams","regulated industries","collaborative teams"],"limitations":["requires discipline to use consistently","version history grows with frequent iterations"],"requires":["team collaboration setup"],"input_types":["prompt text"],"output_types":["version history","change diffs","audit logs"],"categories":["collaboration","version-control"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_4","uri":"capability://documentation.document.and.annotate.prompts","name":"document and annotate prompts","description":"Add metadata, notes, and documentation to prompts to capture intent, context, and reasoning. Makes prompts self-documenting and enables team members to understand why specific phrasings were chosen.","intents":["I want to explain why this prompt works the way it does","I need to document the intent behind prompt design decisions","I want new team members to understand our prompt strategy"],"best_for":["teams with knowledge-sharing needs","enterprises with documentation requirements","collaborative environments"],"limitations":["documentation quality depends on user discipline"],"requires":["team access to documentation"],"input_types":["text annotations","metadata"],"output_types":["documented prompts","knowledge base"],"categories":["documentation","collaboration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_5","uri":"capability://organization.organize.prompts.into.projects","name":"organize prompts into projects","description":"Group related prompts into logical projects or collections for better organization and management. Enables teams to manage multiple prompt sets for different use cases or applications.","intents":["I want to organize prompts by application or use case","I need to manage prompts for multiple projects separately","I want to keep related prompts together for easy access"],"best_for":["teams managing multiple AI applications","enterprises with diverse use cases"],"limitations":["organization structure must be decided upfront"],"requires":["project structure planning"],"input_types":["prompts"],"output_types":["organized prompt collections"],"categories":["organization","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_6","uri":"capability://collaboration.collaborate.on.prompt.development","name":"collaborate on prompt development","description":"Enable multiple team members to work on the same prompts simultaneously with shared access, commenting, and feedback capabilities. Facilitates team-based prompt engineering workflows.","intents":["I want my team to review and improve prompts together","I need to get feedback on prompt variations from colleagues","I want to prevent conflicting changes to shared prompts"],"best_for":["collaborative teams","enterprises with multiple stakeholders","organizations with peer review processes"],"limitations":["requires team coordination","concurrent editing may need conflict resolution"],"requires":["team setup","shared workspace access"],"input_types":["prompts","comments","feedback"],"output_types":["collaborative prompts","feedback threads"],"categories":["collaboration","productivity"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_7","uri":"capability://testing.generate.test.datasets","name":"generate test datasets","description":"Create or import test datasets to use for prompt evaluation. Supports various input formats and enables teams to test prompts against realistic data scenarios.","intents":["I want to test my prompt against diverse input examples","I need realistic test data that matches my production use case","I want to ensure my prompt works across different input variations"],"best_for":["teams with diverse use cases","production-focused teams","quality-assurance focused organizations"],"limitations":["test quality depends on dataset representativeness","large datasets increase testing costs"],"requires":["test data or data generation capability"],"input_types":["CSV","JSON","text files"],"output_types":["test datasets","test results"],"categories":["testing","data-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_8","uri":"capability://analytics.analyze.prompt.performance.trends","name":"analyze prompt performance trends","description":"Track and visualize how prompt performance changes over time and iterations. Identifies patterns in what makes prompts more or less effective across multiple test runs.","intents":["I want to see if my prompt improvements are actually working","I need to understand which changes had the biggest impact","I want to identify performance plateaus or regressions"],"best_for":["data-driven teams","researchers","optimization-focused organizations"],"limitations":["requires sufficient historical data","trends may be noisy with small sample sizes"],"requires":["multiple test runs","historical performance data"],"input_types":["test results","performance metrics"],"output_types":["trend charts","performance reports","insights"],"categories":["analytics","optimization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_libretto__cap_9","uri":"capability://reporting.export.and.share.prompt.results","name":"export and share prompt results","description":"Generate reports and export test results in various formats for sharing with stakeholders, documentation, or integration with other tools. Enables communication of prompt performance to non-technical audiences.","intents":["I want to share prompt performance results with my manager","I need to document prompt improvements for compliance","I want to export results for further analysis in other tools"],"best_for":["teams with reporting requirements","enterprises with stakeholder communication needs","organizations integrating with other tools"],"limitations":["export formats may be limited","large result sets may have size constraints"],"requires":["test results to export"],"input_types":["test results","metrics"],"output_types":["PDF reports","CSV exports","JSON data"],"categories":["reporting","integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"low","permissions":["LLM API credentials","test inputs","evaluation metrics","credentials for multiple LLM APIs","batch test configuration","multiple prompt versions","original test configuration","LLM API access","template design and documentation","understanding of desired output characteristics"],"failure_modes":["requires predefined evaluation criteria","testing cost scales with number of variations and API calls","requires API access to multiple providers","costs multiply with each model tested","limited to supported LLM APIs","diff visualization may be complex for large prompts","LLM non-determinism may cause slight variations","requires saved test configurations","templates require upfront design effort","may be too rigid for highly specialized use cases","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.446Z","last_scraped_at":"2026-04-05T13:23:42.546Z","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=libretto","compare_url":"https://unfragile.ai/compare?artifact=libretto"}},"signature":"ZYJ04yS5GTJwc40Hto1FxfaCxLnrBSIQvv0aMhZj96G0DCVf3eWwFKTZJQHR0xQ5NF8oR9usIMKh1quoUdX/BQ==","signedAt":"2026-06-20T04:34:10.960Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/libretto","artifact":"https://unfragile.ai/libretto","verify":"https://unfragile.ai/api/v1/verify?slug=libretto","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"}}