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Releases: APIParkLab/APIPark

v1.7.3-beta

24 Apr 08:04
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Built in initialization operation during Docker Composer installation program

What's Changed

Full Changelog: v1.7.2-beta...v1.7.3-beta

v1.7.2-beta

22 Apr 10:09
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What's Changed

  • Fix: Apikey getting md5 when calling MCP Server at service level by @Dot-Liu in #297

Full Changelog: v1.7.1-beta...v1.7.2-beta

v1.7.1-beta

17 Apr 08:21
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What's Changed

  • Fix: Issue where API portal's service list fails to retrieve when Influxdb is not initialized by @Dot-Liu in #295

Full Changelog: v1.7.0-beta...v1.7.1-beta

v1.7.0-beta

16 Apr 09:24
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Release Notes for Version 1.7

✨ Added

  • Service-level MCP (Model Context Protocol) support

    • One-click to enable MCP access for any HTTP or AI API on APIPark
    • MCP-enabled services are tagged in the API Portal
    • MCP configuration info is available in the service detail page, ready to use in your AI Agent
  • Platform-level MCP access

    • System-wide MCP endpoint to access all public APIs via a unified interface
    • Perfect for building intelligent, multimodal agents

🎨 Improved

  • Service detail UI optimization
  • Analytics dashboard optimization

What's Changed

Full Changelog: https://github.com/APIParkLab/APIPark/commits/v1.7.0-beta

v1.6.2-beta

27 Mar 09:36
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Full Changelog: v1.6.1-beta...v1.6.2-beta

v1.6.1-beta

19 Mar 08:24
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Full Changelog: v1.6.0-beta...v1.6.1-beta

v1.6.0-beta

14 Mar 11:21
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Release Notes for Version 1.6

New LLM Provider Integrations

Added pre-configured support for:

  • Volcano Engine
  • Alibaba Bailian Cloud
  • Hugging Face
  • Ollama
  • LM Studio
  • Xinference
    Expanding service capabilities across multiple cloud platforms and open-source frameworks

Custom Channel Integration

  • Now supports custom API channel integration for any provider that strictly adheres to OpenAI-compatible interfaces
  • Seamlessly integrate third-party LLM services into APIPark ecosystem

Enhanced Model Customization

  • Custom model options available across all channels
  • Flexible configuration for model selection and parameter tuning

Model Parameter Value Redirection

  • Added model value mapping in service configurations
  • Allows using simplified alias names instead of original model identifiers
  • Example: Map "gpt-lite" → "azure-gpt-4-0125-preview"

What's Changed

New Contributors

Full Changelog: v1.5.0-beta...v1.6.0-beta

v1.5.0-beta

20 Feb 06:33
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Release Notes for Version 1.5

  • Added one-click deployment capability for open-source LLMs. Supports deploying the world's most popular open-source large-scale models via APIPark, including simplified and full-featured versions of models like DeepSeek-R1 and DeepSeek-V3.
  • Optimized the AI model deployment configuration page experience by migrating load balancing capabilities to a new standalone menu page and upgrading it to support model-level load balancing. This allows users to more flexibly define failover strategies between AI models.
  • Continuously improved the AI model interface invocation process. When creating an AI service, the system now automatically initializes service access authorization, shortening the user configuration process and enhancing the overall user experience.

What's Changed

Full Changelog: v1.4.4-beta...v1.5.0-beta

v1.4.4-beta

08 Feb 08:17
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Full Changelog: v1.4.3-beta...v1.4.4-beta

v1.4.3-beta

20 Jan 06:09
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Full Changelog: v1.4.2-beta...v1.4.3-beta