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

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/