feat: 增加 MiniMax Anthropic 兼容预设#153
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改动说明： - 在 AI 控制台厂商预设中新增 MiniMax / Anthropic 兼容配置，默认 Base URL 为 https://api.minimaxi.com/anthropic，默认模型为 MiniMax-M2.7。 - 支持通过 MINIMAX_API_KEY、MINIMAX_BASE_URL、MINIMAX_MODEL 初始化 MiniMax 配置。 - 模型列表接口识别 MiniMax Anthropic 端点，并按 MiniMax 文档使用 Bearer Token 认证拉取模型列表。 - 更新 .env.example，仅增加 MiniMax 相关占位示例，不包含任何真实密钥。
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✅ Files skipped from review due to trivial changes (1)
📝 WalkthroughWalkthroughAdds MiniMax as an Anthropic-compatible LLM provider by adding environment variables, registering a new minimax-anthropic preset, and switching auth header behavior for MiniMax endpoints. ChangesMiniMax Anthropic integration
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes Possibly related PRs
Suggested reviewers
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🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches🧪 Generate unit tests (beta)
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⚠️ Outside diff range comments (1)
interfaces/api/v1/workbench/llm_control.py (1)
108-133:⚠️ Potential issue | 🟠 MajorSeed the active profile's protocol and base URL when falling back.
Right now the fallback only copies
api_key, so requests that rely on the stored MiniMax profile still default toprotocol='openai'and an empty base URL. That skips_is_minimax_anthropic_base()and sends the wrong auth header unless the caller redundantly supplies the endpoint fields.🔧 Proposed fix
if not candidate.get('api_key'): # 尝试从当前激活配置中获取 key 作为 fallback active = _service.get_active_profile() if active: - candidate['api_key'] = active.api_key + candidate.update({ + 'api_key': active.api_key, + 'protocol': active.protocol, + 'base_url': active.base_url, + })🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@interfaces/api/v1/workbench/llm_control.py` around lines 108 - 133, When falling back to the active profile in the candidate block (use _service.get_active_profile() and the candidate dict), also copy the active profile's protocol and base_url into candidate (not just api_key) so api_format = (candidate.get('protocol')...) and base_url = (candidate.get('base_url')...) reflect the stored profile; this ensures _is_minimax_anthropic_base(base_url) sees the MiniMax endpoint and the correct auth header is selected instead of defaulting to openai/empty base URL.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Outside diff comments:
In `@interfaces/api/v1/workbench/llm_control.py`:
- Around line 108-133: When falling back to the active profile in the candidate
block (use _service.get_active_profile() and the candidate dict), also copy the
active profile's protocol and base_url into candidate (not just api_key) so
api_format = (candidate.get('protocol')...) and base_url =
(candidate.get('base_url')...) reflect the stored profile; this ensures
_is_minimax_anthropic_base(base_url) sees the MiniMax endpoint and the correct
auth header is selected instead of defaulting to openai/empty base URL.
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro Plus
Run ID: 587b1cf2-40d7-4a51-be80-ba95f44f14c0
📒 Files selected for processing (3)
.env.exampleapplication/ai/llm_control_service.pyinterfaces/api/v1/workbench/llm_control.py
1 participant
改动说明：
变更类型
feat新功能fixBug 修复refactor重构（不影响功能）perf性能优化docs文档chore构建/工具链变更说明
架构影响
domain/application/infrastructure/interfaces/frontend/scripts（删除不适用项）测试
python -m uvicorn ...）npm run dev）风险说明
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