Commit Graph

4 Commits

Author SHA1 Message Date
Zhiyunyao
a138d5388a feat: add reasoning_effort configuration support for Doubao/GPT-5 models (#947)
* feat: Add reasoning effort configuration support

* Add `reasoning_effort` parameter to model config and agent initialization
* Support reasoning effort levels (minimal/low/medium/high) for Doubao/GPT-5 models
* Add UI controls in input box for reasoning effort selection
* Update doubao-seed-1.8 example config with reasoning effort support

Fixes & Cleanup:
* Ensure UTF-8 encoding for file operations
* Remove unused imports

* fix: set reasoning_effort to None for unsupported models

* fix: unit test error

* Update frontend/src/components/workspace/input-box.tsx

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-03-02 20:49:41 +08:00
YolenSong
3d3ea84a57 test(backend): add core logic unit tests for task/title/mcp (#936)
* test(backend): add core logic unit tests for task/title/mcp

* test(backend): fix lint issues in client test modules

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Co-authored-by: songyaolun <songyaolun@bytedance.com>
2026-03-01 12:36:09 +08:00
greatmengqi
30d948711f test: add Gateway conformance tests for DeerFlowClient (#931)
Validate that all dict-returning client methods conform to Gateway
Pydantic response models (ModelsListResponse, ModelResponse,
SkillsListResponse, SkillResponse, SkillInstallResponse,
McpConfigResponse, UploadResponse, MemoryConfigResponse,
MemoryStatusResponse). Pydantic ValidationError in CI catches
schema drift between client and Gateway with zero production coupling.

Also includes prior review fixes: enhanced client methods, expanded
unit tests (67→77), live integration test improvements, and updated
documentation.

Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>
2026-02-28 16:08:04 +08:00
greatmengqi
9d48c42a20 feat: add DeerFlowClient for embedded programmatic access (#926)
Add `DeerFlowClient` class that provides direct in-process access to
DeerFlow's agent and Gateway capabilities without requiring LangGraph
Server or Gateway API processes. This enables users to import and use
DeerFlow as a Python library.

Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com>
2026-02-28 14:38:15 +08:00