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* feat: add multi-provider LLM failover Add FailoverProvider that wraps multiple LlmProvider instances and tries each in sequence on transient failures. Non-retryable errors (auth, context length, model not available) propagate immediately. - New `FailoverProvider` with generic `try_providers` helper - `is_retryable()` classifies transient errors (request failed, rate limited, invalid response, session renewal, HTTP, IO) - Configurable via `NEARAI_FALLBACK_MODEL` env var - Returns `Result` from constructor (no panics in production) - Updates FEATURE_PARITY.md: failover chains ✅, cooldown ❌ Co-Authored-By: Claude Opus 4.6 <[email protected]> * fix: track last-used provider for accurate cost/model reporting After failover, model_name() and cost_per_token() now reflect the provider that actually handled the request, not always the primary. Also corrects is_retryable() docs to list ModelNotAvailable as retryable. Addresses PR #28 review comments. Co-Authored-By: Claude Opus 4.6 <[email protected]> * feat: add retry with exponential backoff for LLM providers Add retry logic with exponential backoff and jitter to both NearAiProvider and NearAiChatProvider for transient errors (HTTP 429, 500, 502, 503, 504). Extract shared retry helpers (is_retryable_status, retry_backoff_delay) into src/llm/retry.rs so both providers reuse the same logic. Configurable via NEARAI_MAX_RETRIES env var (default: 3). * docs: clarify max_retries means N retries, not N total attempts * warn when fallback model equals primary model * fix: saturating_mul in backoff delay, dedupe to_lowercase allocation --------- Co-authored-by: Claude Opus 4.6 <[email protected]>