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✨ New Features

  • AI Gateway & Inference
  • Added Laya inference engine support using the SystemOne protocol.
  • Added native-first routing based on each upstream’s declared API format, with protocol adaptation between Chat Completions, Responses, and Messages APIs.
  • Enforced API key model scopes across model listing, model details, and inference requests.
  • Added an API for optimizing vLLM and SGLang engine arguments based on accelerator type, GPU count, runtime version, multi-node mode, and model context length.

  • Repository Compliance

  • Added license compliance classification for model and dataset repositories.
  • Added compliance and commercial-use metadata to repository APIs and filters.
  • Automatically re-evaluates compliance when license files, README content, or default branches change.

  • Evaluation

  • Added version-pinned model and dataset evaluations.
  • Added support for evaluating multiple commits from the same model in one evaluation workflow.

  • Hardware & Runtime Support

  • Added MetaX MX-C600 support for vLLM, SGLang, and ms-swift.
  • Added AMD ROCm environment detection for multi-node vLLM serving.

🚀 Enhancements & Bug Fixes

  • AI Gateway
  • Fixed duplicate and unavailable models appearing in model-list responses.
  • Improved circuit-breaker health checks and unknown-upstream availability reporting.
  • Fixed routing path rewrites and fallback behavior across Chat Completions, Responses, Messages, and Anthropic-compatible endpoints.
  • Preserved reasoning_content for thinking-mode tool calls and correctly merged parallel function calls from the same turn.
  • Improved prompt-caching compatibility, null message-content handling, and non-JSON upstream error handling.
  • Fixed ASR connection tests by providing an input-audio sample.
  • Secured MCP proxy calls through authenticated internal endpoints.

  • Repositories & Mirrors

  • Improved GitLab repository imports and repository synchronization reliability.
  • Added writable namespace discovery.
  • Fixed mirror request handling and repository visibility authorization.
  • Allowed administrators to bypass namespace permission checks where repository administration already grants access.
  • Added default-branch information to branch API responses.

  • Deployments & Resources

  • Added automatic reconciliation for unhealthy deployments.
  • Improved deployment reconciliation when runtime status and Kubernetes service state disagree.
  • Enforced permissions for private deployments and Space start/stop operations.
  • Fixed CPU scenario filtering so only pure CPU resources are excluded.
  • Improved default inference parameters according to GPU model and runtime version.
  • Ensured canceled staged finetuning tasks execute their cleanup handlers.

  • Security & Reliability

  • Closed an SSRF bypass involving transitional IP addresses.
  • Fixed SQL injection in DataViewer query filtering.
  • Improved credential redaction across HTTP middleware, proxy, RPC, and structured logs.
  • Fixed missing namespace UUIDs on user-scoped access tokens.
  • Improved sensitive-content handling for controversial risk classifications.

🛠 Maintenance

  • Upgraded NVIDIA and AMD vLLM runtimes and registered additional GLM and Qwen model profiles.
  • Updated GitPython, PyJWT, and Requests to versions containing security fixes.
  • Moved plugin logger output to stderr.
  • Improved database test-container reuse and in-memory database behavior.
  • Added the shared code-smell checklist for implementation and review workflows.

Full Changelog: https://github.com/OpenCSGs/csghub-server/compare/v2.5.0-ce...v2.6.0-ce

Source: README.md, updated 2026-09-19