Show me evidence of FastAPI
Here’s the evidence.
AI Sales CRM Assistant: 41 automated unit/API tests passed with 0 failures. 41 Automated tests passed · automated local. 41 automated tests with synthetic lead inputs. Python / FastAPI, Pydantic, pytest and pytest-asyncio. Synthetic dealership leads; portfolio POC, not a production dealership platform. No customer usage, conversion, revenue, ROI or time-savings claim is supported. Local mocked orchestration latency excludes external-service performance; it must not be presented as production latency. 6.163 seconds is application-reported latency for one live cross-service run, not a percentile, SLA or production performance estimate. AutoCare Agent: LangGraph connects request validation, planning, retrieval, tools, safety checks and response generation. 40 Diagnostic scenarios tested · unspecified. 40 vehicle-diagnostic scenarios; 1,000 PostgreSQL service-history records. Four tools: service-manual search, diagnostic-code lookup, maintenance-schedule retrieval and vehicle service-history lookup. FastAPI, PostgreSQL, Redis/Celery, Ollama and Docker Compose. Decision-support POC, not a substitute for a certified technician. Recall describes the 100-query retrieval evaluation, not field diagnostic accuracy. Separate lexical/dense scores and scenario pass rates are not supplied. Intelligent Patient Admission Triage Assistant: LangGraph orchestrates validation, scoring, LightGBM/XGBoost risk modeling, retrieval and explanation. ESI/MEWS deterministic scoring, LightGBM/XGBoost, FastAPI/Pydantic, Ollama, Redis/Celery, Docker Compose and GitHub Actions. In-progress research/portfolio system; synthetic Synthea / FHIR-compatible records, no hospital production deployment or clinical-validation result. RAGAS/Langfuse evaluation and Prometheus/Grafana/Loki observability are designed/planned. No completed benchmark values are supplied. Poultry Disease Classification: DVC, FastAPI, Docker, GitHub Actions and AWS ECR / EC2 deployment workflow. Versioned data/experiments, inference service, containerization and automated build/test/deployment. Validation accuracy across four classes; dataset size, split details, class names and external validation are not supplied. Sub-500 ms inference statement has no supplied hardware, percentile, sample size or production SLA definition.