relaticle

v3.3.4 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 1mo MCP Developer Tools

✓ No known CVEs patched

✓ No known CVEs patched in this version

Topics

alpine company contacts crm filament laravel

+9 more

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Summary

AI summary

Fixed AI approval flow bugs: lost state handling and rate‑limit resilience with explicit pause notification.

Type	Severity	Summary	CVE
Bugfix
Bugfix	Medium	Adds retry logic for rate‑limit errors with capped backoff and clearer messages in Chat jobs Adds retry logic for rate‑limit errors with capped backoff and clearer messages in Chat jobs Source: llm_adapter@2026-06-10 Confidence: high	—
Bugfix	Medium	Fixes lost approval state by injecting authoritative pending_actions into model context each turn Fixes lost approval state by injecting authoritative pending_actions into model context each turn Source: llm_adapter@2026-06-10 Confidence: low	—
Bugfix	Low	Broadcasts `ChatPaused` notice when approval auto‑continue chain hits its cap instead of stalling silently Broadcasts `ChatPaused` notice when approval auto‑continue chain hits its cap instead of stalling silently Source: llm_adapter@2026-06-10 Confidence: high	—
Bugfix	Low	Prevents assistant from repeatedly requesting approval when state is already approved by injecting pending_actions into model context each turn Prevents assistant from repeatedly requesting approval when state is already approved by injecting pending_actions into model context each turn Source: granite4.1:30b@2026-06-10-audit Confidence: low	—

Full changelog

Chat: Harden the AI approval flow against lost state and rate limits (#321)

Lost approval state (Bug A): the assistant could get stuck re-asking to approve an already-approved action when the post-approval continuation failed or was skipped. Approval state is now injected into the model each turn from the authoritative pending_actions table (a <resolved_actions> context block), so it no longer depends on the continuation journaling to the transcript.
Rate-limit resilience (Bug B): provider 429s surfaced as a generic error with no retry. Chat jobs now retry transient rate-limit / overloaded responses with capped backoff and surface an honest message. This covers both the typed RateLimitedException and the raw streaming RequestException (429/529/503) — the latter verified end-to-end under the async (Horizon) queue.
Explicit pause: when the approval auto-continue chain hits its cap it now broadcasts a ChatPaused notice ("say continue to resume") instead of stalling silently.

Full Changelog: https://github.com/relaticle/relaticle/compare/v3.3.3...v3.3.4

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About relaticle

Open-source CRM with native AI agent support. 30 MCP tools, REST API, self-hosted. Built with Laravel & Filament