LLM inference server with continuous batching & SSD caching for Apple Silicon β managed from the macOS menu bar
See what Claude Code and Codex actually send to the API β and what each part costs.
Computing with Python functions.
A caching extension for Flask
Frontier-class open models on a free Kaggle TPU v5e-8: GLM-5.3-Flash 320B MoE (~165 tok/s, our own JAX engine) and Qwen3.8-27B bf16 (~130 tok/s), 262k context, prefix caching. Works with Claude Code, Codex, opencode and pi.
Persistent, stale-free, local and cross-machine caching for Python functions.
The httplib2 caching algorithms packaged up for use with requests.
ComfyUI node for MiniMax H3 that chains multiple video clips with motion context, disk caching, dynamic image references, audio reference support, and seamless final video/audio decoding.
AI coding agent with one Python core and three front-ends β headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
Claude Opus 5 API (claude-opus-5): model id, per-million-token pricing, cache write and cache read rates, streaming and Anthropic-style requests through an OpenAI-compatible gateway.
GLM-5.3-Flash EXL3 (320B MoE) on 2x NVIDIA DGX Spark β production serving kit, 1M context, 97%+ multi-session prefix caching, DFlash2 spec decode
Hermes Agent context engine: the main model writes the compaction handoff on its cached prompt prefix
Async FastAPI service template with authentication, background jobs, caching, and PostgreSQL.
Serving Qwen3.8-27B-FP8 on a single DGX Spark (GB10): 7.88 to 58.5 tok/s single-stream from decode strategy alone, weights untouched. Speculative decoding and prefix caching benchmarked, plus DFlash 2 β the only Qwen3.8-27B build that can serve it under vLLM.
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%β83%), default-FAIL verification against false completions, and KV-cache prefix design (21%β90%). Stdlib-only, real deepseek-chat runs
API documentation patterns for prompt caching, reasoning tokens, model fields, and model-specific behavior, with Argolink boundary notes.
TaoMate-H3 3-step acceleration package for ComfyUI on an RTX 4070 12GB: 4-bit (W4A4) FFN weights, 10% sparse attention and extra INT8 weight caching, with Windows setup and sample workflows.
Ingests KNBS and CBK public indicators, standardizes and transforms them with dbt, stores marts in PostgreSQL, and exposes query + CSV APIs with signed cursor pagination, ETag caching (Redis), and rate limiting.