Multi-model AI agent ecosystem with 5-layer escalation hierarchy, exponential backoff retries, and automatic fallback chaining across Claude, GLM, and DeepSeek
# AI Agent Ecosystem Multi-model AI agent system with a 5-layer escalation hierarchy, automatic retry with exponential backoff, and cascading fallback chaining across DeepSeek, GLM, and DeepSeek. ## Architecture ### 5-Layer Escalation Hierarchy | Layer | Model | Role | Use Cases | |-------|-------|------|-----------| | L5 | Claude Opus | Editor | Life advice, strategic decisions, final blog polish | | L4 | Claude Sonnet | Writer | Blog drafts, complex documents, email replies | | L3 | GLM-4 | Secretary | Google Calendar, Gmail, schedule management | | L2 | DeepSeek V3 | Gatekeeper | Daily chat, classification, log summarization | | L1 | Claude Code | Engineer | File ops, system config, debugging | The `ModelRouter` analyzes message complexity and emotional context to automatically select the appropriate layer. Routing decisions are logged to `logs/model-router.log`. ### Failsafe: Retry & Fallback Every API call is wrapped with `withRetry()` (exponential backoff: 0 → 1 → 2 → 4 seconds, up to 3 retries). If all retries are exhausted, the handler automatically falls back to the next layer down: ``` Claude Opus → Claude Sonnet → GLM → DeepSeek → throw ``` Fallbacks are logged with `fallback_triggered: true` and the error reason. DeepSeek is the final tier and will throw if it also fails. **Retryable errors:** Anthropic 429/529, Axios 429/503, ECONNRESET, ETIMEDOUT, ECONNREFUSED. ## Project Structure ``` src/ ├── core/ │ └── model-router.js # Complexity analysis, model selection, escalation ├── models/ │ ├── deepseek-opus.js # L5: high-complexity tasks │ ├── deepseek-sonnet.js # L4: writing tasks │ ├── glm-handler.js # L3: business/secretary tasks │ ├── deepseek-handler.js # L2: lightweight tasks │ └── claude-code.js # L1: engineering tasks ├── utils/ │ └── api-retry.js # withRetry(), isRetryableError(), FALLBACK_CHAIN ├── emotion/ │ └── emotional-context-engine.js └── integrations/
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
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