Full observability setup with structured logging, distributed tracing, metrics, and alerting.
Set up a comprehensive logging and observability system for this application: **Structured Logging:** - Logger factory with configurable transports (console, file, external service) - Structured JSON format with consistent fields: timestamp, level, message, requestId, userId, duration - Log levels: error, warn, info, debug, trace with environment-based filtering - Request/response logging middleware with body redaction for sensitive fields - Error logging with full stack traces and context **Distributed Tracing:** - Request correlation IDs propagated across services - Span creation for key operations (DB queries, API calls, queue processing) - Trace context injection in outgoing HTTP requests - Performance timing for critical code paths **Metrics:** - Custom counters: request_count, error_count by endpoint - Histograms: response_time, db_query_duration - Gauges: active_connections, queue_depth - Health check endpoint aggregating all service dependencies **Alerting:** - Error rate threshold alerts - Latency degradation detection - Health check failure notifications Use existing libraries in the project or suggest minimal additions.
Use with @workspace context. Copilot adapts to your existing logging patterns.
POC: Fully autonomous weapons systems via LLMs — deepseek-v4-pro reasoning model with unrestricted system prompt demonstrates autonomous offensive cyber operations capability for classification analysis and regulatory discussion. ECCN: 4D004 / EAR99.
Codex Cost Router Skills - preflight task routing skills for Codex to reduce token waste, choose model tiers, reasoning effort, permissions, and execution prompts.
Test and compare LLM prompts across providers — automated quality scoring, latency benchmarks, cost analysis. YAML-driven, works with any OpenAI-compatible API.
基于 FastAPI 的 DeepSeek Chat 反向代理,将 DeepSeek 网页版的 API 转换为 OpenAI 兼容格式。 支持流式/非流式对话、专家模式、深度思考(reasoning_content)、工具调用(DSML prompt injection)。 自动处理 PoW 鉴权挑战,无需官方 API Key。
Frozen reasoning LLM (DeepSeek-V4-Flash) as an in-context surrogate for lithium-electrolyte ionic conductivity on CALiSol-23 — selector ablation, chain-of-thought pattern mining, and a one-sentence prompt change that cut worst-case error 87×.
Local DeepSeek V4 proxy: reduces hallucinations strengthens system prompt following stops reasoning loops repairs empty tool-call replies — with built-in session analysis and GUI. / 本地 DeepSeek V4 代理:降低幻觉、增强 system prompt 遵循、防思维循环、修复空回复 自带会话分析与 GUI。
Workflows from the Neura Market marketplace related to this DeepSeek resource