--- name: mistral-rate-limits-5f71ebc333c3 description: >- Control Mistral demand with live workspace limits, token-aware admission, bounded retry, and backpressure. Use when handling throttling or sizing throughput. Trigger with "Mistral rate limits", "fix Mistral 429s", or "design Mistral backpressure". allowed-tools: Read,Glob,Grep,Write,Edit argument-hint: " " version: 1.14.0 license: MIT author: Jeremy Longshore tags: [saas, mistral, reliability] model: inherit effort: high compatibility: "Designed for Claude Code; live or external Mistral actions require network access and explicit approval" --- # Mistral Rate and Backpressure Control ## Overview Treat provider limits as shared workspace capacity, not constants. Admit work against measured demand, preserve deadlines and fairness, and shed load before retry storms consume remaining budget. ## Prerequisites - Current workspace request, token, and spend limits from the Admin Panel. - Per-operation deadline, priority, idempotency, and maximum-attempt policy. - Metrics for admitted, queued, throttled, retried, completed, and abandoned work. ## Current Contract Mistral documents workspace-shared limits across API keys and reports current dimensions in the Admin Panel. Limits vary; never encode a numeric example as a default. ## Authentication Limit telemetry excludes keys, prompts, responses, and files. Admin inspection requires separate authorized identity. ## Instructions 1. Capture current workspace limits and evidence time as observations. 2. Measure demand by operation, model, requests, tokens, and concurrency. 3. Define shared admission buckets and bounded queues with tenant fairness. 4. Honor explicit retry timing; otherwise use capped jitter only for safe transient failures. 5. Stop when deadline, attempt, token, or spend budget ends; return typed overload. 6. Load-test locally, then canary approved traffic and compare queue/SLO evidence. ## Tool Discipline Use Read, Glob, and Grep to inspect code, locks, configuration, tests, and evidence. Use Write and Edit only for approved repository changes. Invocation alone does not authorize network calls, paid usage, uploads, stateful resources, admin mutations, deployments, or deletion. ## Approval Boundaries Require approval for live load, limit increases, capacity changes, or fallback models. Additional keys do not create independent capacity. ## Error Handling - Per-process limiters oversubscribe shared capacity across replicas. - Retries after the user deadline waste tokens and worsen overload. - Fallback changes quality, residency, context, and cost. ## Output Return dated observed limits, demand profile, admission/retry policy, queue bounds, shed behavior, SLO evidence, and rollback. ## Examples - Prioritize interactive work over approved batch preparation. - Return overload once the deadline cannot survive the queue. ## Validation Simulate bursts, replicas, `429`, missing retry metadata, cancellation, deadline expiry, and budget exhaustion offline. Prove that admission resumes gradually after recovery. ## Resources - [Current first-party evidence map](references/official-docs.md) — recheck dated sources before relying on mutable endpoints, models, limits, prices, preview status, or retention. - Record live account observations as environment-specific evidence, not universal Mistral guarantees. --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/mistral-pack/skills/mistral-rate-limits/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Jeremy Longshore Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/mistral-pack/skills/mistral-rate-limits/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Backend Developer, Data Engineer, ML / AI Engineer Specialties: API, Backend, Design, DevOps, Frontend, Testing Tools: Mistral Ai Sdk Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: c7cabec143cff80cc8a575a86a579df965031d413700f8512a2c33e9ec0b409c