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SourceCourt Exact Lite

SourceCourt Exact Lite

SourceCourt Exact Lite is a bounded, evidence-first research assistant built for AMD AI League Match 4. It answers source-grounded questions while refusing to invent certainty when the available evidence does not support an exact answer. The system retrieves and parses bounded HTTP/HTTPS sources, interprets a user’s question, identifies relevant evidence, ranks candidate passages and links, and extracts an exact answer only when the evidence is sufficient. When the answer is ambiguous, unsupported, or unverifiable, SourceCourt refuses rather than fabricating a result. The project was hardened against unsafe retrieval behavior. Its transport layer rejects private and loopback network targets, protects against SSRF and DNS rebinding, preserves TLS hostname verification, limits redirects, constrains response size and timing, and avoids unsafe proxy behavior. It also includes bounded resource use, deterministic error handling, citation checks, and explicit ambiguity/refusal behavior. SourceCourt Exact Lite is packaged as a real command-line product. It can be installed as a Python package, run locally, or executed from a container image. The public release includes reproducible setup instructions, a deterministic demo, and a security-focused test suite. The release is provider-neutral at the model-adapter boundary, keeping retrieval, ranking, evidence extraction, citation, refusal, and safety logic independent from any single model provider while allowing the official Match 4 runtime or grader to supply the required model configuration. Container: `ghcr.io/null007void/sourcecourt-exact-lite:1.1.2` Digest: `sha256:39cd2d31e6fb95219da190d12a5620868e68293ac6ad88f8659142b744e4feec` SourceCourt Exact Lite returns the exact answer when the source supports it, shows the supporting evidence, and refuses when the result cannot be verified.

Null007Void Labs
rest apiCodexChatGPT+1
Super-Infrared Vultr RAG - 6 Filter Agent

Super-Infrared Vultr RAG - 6 Filter Agent

Super-Infrared v3.1: 2-mode + Bio Healthy + Ruang Teduh + SDM - No Phone Has This Spec. Inspired by Pasar Kebayoran Lama fire risk & garment factories Jakarta. SAFETY 4.7s: MLX90640 32x24 thermal (300C surface, 612C WHITE HOT), IMX219 8MP + 850nm IR fusion CCTV, ESP32-S3 relay buzzer 95dB + shutdown. 4.7s response for factory/mall/kos. AIR+BIO HEALTHY: NDIR 4-ch 4.26um CO2, 3.3um H2O, 3.4um Naphtol, 7.7um emissivity + SHT41 Swiss ±0.2C ±1.8% + MQ135 gas. Ideal 22-26C RH40-60% CO2<1000ppm. If >1000ppm: auto fan+relay+WhatsApp. Ruang Teduh 12-City AQI - shaded QC area for garment & obsidian altarum. SDM RECRUITMENT (Vultr Agent Rush HR track - required by jury): 1) Candidate screening via AS7341 spectral color blindness test + HX711 weight 4067/39, 2) Interview scheduling buzzer+Telegram+Meet, 3) Onboarding checklist training device, 4) Workflow tracking IMX219+HX711 KPI. All via super-infrared.local on phone, no extra tools. BRAIN: RPi5 edge AMD ROCm+Ryzen AI (Delegate not just Operate) + Vultr Cloud Inference AMD Developer Cloud EPYC+MI355X+Cisco Silicon One. Pattern: TensorWave 2x perf 40-60% saving, AT&T single-GPU millions, Cisco Healthcare. Open by Design, no CUDA lock-in, More AI/Watt/Dollar. Proof: amd_check.py + ROCm 6GW validation in repo. Repo super-secure-syst-v23 32 commits: gallery, Bio_Healthy_Room_Spec.md, Ruang_Teduh_Spec.md, SDM_Rekrutmen_Module.md. Pricing v3.0 outright system & technique license Rp1.5-3.5M (not hardware MLX Rp1.07M). Demo super-infrared.local, OTA, MQTT, Tailscale, Telegram /status. No phone has NDIR+MQ135+SHT41+MLX+AS7341+HX711.

aiinfraredchaliveret
OpenAIGithub CopilotAMD Developer Cloud+6
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