generated: '2026-08-27' method: searched source: >- https://docs.segmind.com/docs/serverless-api, https://docs.segmind.com/docs/serverless-api/async-inference, https://docs.segmind.com/docs/fine-tuning, https://docs.segmind.com/docs/platform/release-notes, https://status.segmind.com, https://www.segmind.com/pricing, https://docs.segmind.com/docs/serverless-api/logging versioning: scheme: path-prefix current: v2 versions: - version: v1 status: maintenance description: >- Blocking synchronous inference. "Fine for fast models that finish in a few seconds", documented as in maintenance mode. Still fully served, and still the only route the provider's own Claude Code skill uses. - version: v2 status: current description: Asynchronous submit-poll-fetch, the recommended path for all new work. policy_published: false note: >- Segmind publishes no version-support or version-sunset policy. v1's maintenance status is stated in a callout on the async-inference page, not in a lifecycle policy, and no end-of-life date is given for it. deprecation: policy_published: false sunset_header: false deprecation_header: false rfc8594: false note: >- No RFC 8594 Sunset or Deprecation headers are documented, and there is no written deprecation policy or notice period. Deprecations are announced in prose in the docs and release notes. What Segmind does do well is fail loudly at runtime: calls to retired or deprecated models return 410 Gone and are not charged. deprecated: - subject: Fine-tuning service status: deprecated announced_in: https://docs.segmind.com/docs/fine-tuning statement: >- "The Segmind fine-tuning service is deprecated and no longer accepts new training jobs. Existing fine-tuned models remain available for inference until further notice." affects: - openapi/segmind-fine-tuning-api-openapi.yml - 'apis[] entry segmind:segmind-fine-tuning-api' - 'operations: submitFinetune, getFinetuneDetails, listFinetuneRequests, updateFinetuneAccess, getFinetuneUploadUrl, downloadFinetuneFile' sunset_date: null note: >- The entire /docs/fine-tuning tree — dataset preparation, inference guide, pricing, GPU options and all five per-model fine-tuning API references — is marked Deprecated. This repo's Fine-tuning API entry therefore documents a surface that no longer accepts new work; it is kept and flagged rather than removed, because existing fine-tuned models are still callable. - subject: Fine-tuning webhook events status: deprecated events: [DATA_PROCESSING, TRAINING_INITIATED, TRAINING_COMPLETED, DEPLOYING, AVAILABLE] statement: >- "listed here for existing integrations only" — they relate to the fine-tuning service, which no longer accepts new training jobs. source: https://docs.segmind.com/docs/serverless-api/webhooks - subject: segmind.run_async() in the Python SDK status: removed removed_in: 1.1.0 replacement: segmind.run() statement: >- "1.1.0 is a breaking release. run() is now async (v2). The old blocking behaviour moved to run_sync(), and run_async() was removed." source: https://docs.segmind.com/docs/sdks/python - subject: github.com/segmind/segmind-py (2023 Python wrapper) status: deprecated replacement: https://github.com/segmind/segmind-python statement: '"Deprecated — moved to segmind/segmind-python ... its examples no longer work."' - subject: Individual models status: rolling note: >- Models are retired on their own schedule with no published notice period. A call to a retired model returns 410 Gone and is not charged. known_defects: - subject: segmind.pixelflows namespace in the Python SDK version: 1.1.0 statement: >- "every method on it raises AttributeError in 1.1.0 — that is a known defect on our side". Published PixelFlow workflows must be called over REST until a fix ships. source: https://docs.segmind.com/docs/sdks status_page: url: https://status.segmind.com status: 200 verified: '2026-08-27' note: Live, on its own subdomain. Linked from the authentication docs support section. sla: published: true target: 99.99% scope: Enterprise plan only source: https://www.segmind.com/pricing note: >- The 99.99% figure is a bullet on the Enterprise plan card. No SLA, credit schedule or uptime commitment is published for Flexible, Pro, Business or Scale. support_tiers: - plan: Flexible response: Community (Discord) - plan: Pro response: 5 business days - plan: Business response: 2 business days - plan: Scale response: 1 business day - plan: Enterprise response: Dedicated Slack support support_tiers_source: https://www.segmind.com/pricing release_cadence: cadence: weekly url: https://docs.segmind.com/docs/platform/release-notes latest: '2026-08-23' note: >- Release notes are summarised every week and dated. See changelog/segmind-changelog.yml. retention: outputs: 7 days request_records: 'short-lived; expire before the output file, after which the poll endpoints 404' inputs: 'input images, video and audio are not stored; prompts and parameters are' source: https://docs.segmind.com/docs/serverless-api/logging maintainers: - FN: Kin Lane email: kin@apievangelist.com