Use when building or modifying a Python app that uses the agent-squad Python package — async multi-agent orchestration for Python 3.11+: orchestrator, agents (BedrockLLMAgent, AnthropicAgent, OpenAIAgent, SupervisorAgent, GroundedAgent, ChainAgent, and more), classifier routing (Bedrock, Anthropic, OpenAI), storage…
Use when building or modifying a Swift app that uses the AgentSquad Swift framework — on-device multi-agent orchestration for iOS 16+ / macOS 14+: orchestrator, agents (Agent, GroundedAgent), classifier routing, LLM clients (OpenAI-compatible), tools (native + MCP), tool UIs/widgets, on-device storage, tracing, and…
LiteLLM-RS Configuration Architecture. Covers YAML loading with ${VAR} environment substitution, strict serde config models, startup validation via the Validate trait, and the LITELLM env-only fallback. Use when changing config models or serde defaults, debugging env variable substitution failures, updating validation…
LiteLLM-RS provider system in two tiers - data-driven OpenAI-compatible catalog entries auto-routed through OpenAILikeProvider, plus code-based provider modules implementing the LLMProvider trait behind the closed Provider enum. Covers unified ProviderError handling, connection pooling, capabilities, and model…
A development guide for adding language-model providers to LiteLLM-RS, a gateway that connects applications to multiple AI services. It explains provider registration, provider-specific code, and the shared error handling used by the gateway.
Evaluate requirements, feature requests, and task intake against project DDD context. Produces a GO/DEFER/REJECT/ESCALATE recommendation with ROI scoring, scope definition, and acceptance criteria. TRIGGER: "evaluate this request", "should we build this", "assess this requirement", "triage this". NOT FOR…
Ingest URLs, articles, or text from any source into structured knowledge cards. Stores source URL + metadata + briefing (NOT full text). On-demand retrieval from source. TRIGGER: "learn this", "save this article", "read and remember", "ingest this". NOT FOR: deep-research, summarize, persist use cases.
Persist knowledge to the correct destination — routes to DDD docs (PRODUCT/TECH/IMPROVEMENT/PROJECT), MEMORY.md, Knowledge/Library/ (searchable store), or EVOLUTION.md based on content type. Unified routing for both manual saves and auto hooks. TRIGGER: "remember", "save", "persist", "沉淀", "record this", "save to…