* fix(frontend): keep collapsed sidebar navigation visible on mobile
* fix(frontend): address mobile sidebar review feedback
* fix(ci): keep frontend agent guidance within size budget
* fix(frontend): align mobile sidebar focus and trigger state
* fix(frontend): keep Agents header actions within mobile viewport
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat(models): add declarative reasoning capability contract (#5073)
Introduce an optional per-model `reasoning:` block beside the legacy
`supports_thinking` / `supports_reasoning_effort` booleans. It declares
thinking availability (unsupported | optional | required), the accepted
effort values with aliases, default, and serialization path, the payload
dialect, and the reasoning-history requirement. When present the booleans
are derived from it and contradictory profiles fail at config load.
`deerflow.models.reasoning` normalizes legacy and declared profiles into
one immutable contract and resolves every caller's generic request against
it. `create_chat_model` is the single enforcement point: required-thinking
models never receive a synthesized disable payload, unsupported effort
values never reach the provider, and the dialect synthesizes the on/off
payload when no template exists. Legacy profiles keep the historical path
byte-for-byte. The lead agent and subagent descriptor resolve the same
policy first so run metadata reports effective values.
`/api/models` and `DeerFlowClient` project the contract as `reasoning`;
the frontend derives mode clamping and effort choices from it through
`core/models/reasoning.ts`, and user preferences accept provider-specific
effort tokens. The setup wizard's Z.AI GLM-5.3-Flash profile migrates to
the contract, restoring its low/high/max effort control.
* docs(models): move the reasoning contract guidance into models/AGENTS.md
backend/AGENTS.md sits within 46 bytes of the 96 KiB effective-chain hard
limit for the middlewares, runtime, sandbox, and subagents guides, so the
new section pushed scripts/check_agent_guidance.py over it. The models
guide is the nearest file for the factory and the contract module, and
its chain has ample room.
* fix(models): address review on the reasoning contract
- vLLM dialect: the enable path now mirrors whichever chat_template_kwargs
switch the template declares, like the disable path already did, so a
template using the older `thinking` key no longer also grows
`enable_thinking`.
- Validate operator-supplied effort values at `effort.path` inside
`when_thinking_enabled`, `when_thinking_disabled`, and the `thinking`
shortcut against the contract, not only the profile-level value; they are
forwarded when the caller chooses nothing, so the "unknown values never
reach the provider" guarantee now holds for them too.
- Constrain `effort.path` to dotted identifiers and reject single-segment
paths that would replace a whole mapping (`extra_body`, `thinking`,
`model_kwargs`, `default_headers`, `default_query`).
- Z.AI GLM-5.3-Flash profile: `default: high` instead of `max`, because the
default also governs summarization, title generation, and subagent calls
that never choose an effort; `max` stays selectable. Documented in the
config example, the configuration manual, and the design note.
* fix(models): close reasoning contract review gaps
* fix(models): preserve native Ollama reasoning config
* fix(models): keep native reasoning strings and project reasoning into the descriptor
- `ModelConfig.reasoning` also accepts the level string ChatOllama takes
for gpt-oss style models (`low` / `medium` / `high`); the factory forwards
both the boolean and the string on the legacy path, so profiles that
passed `reasoning: high` through before the contract field existed keep
loading and keep sending it.
- The assembly descriptor no longer excludes `reasoning` from
`model_parameters`: the native ChatOllama value and a declared contract's
dialect/history/effort change the request payload, so they now move the
assembly fingerprint.
- e2e: the sidecar spec pinned the pre-contract body where a model without
effort control still received `reasoning_effort: minimal`; the preset is
now dropped for such models (the Gateway discarded it anyway), so the
assertion expects the key to be absent.
* fix(frontend): show skill badges with empty tool groups
* test(frontend): cover agent skill badges with empty tool groups
* test(frontend): cover agents without badge content
* feat(agents): per-agent model and generation settings
Let each custom agent choose its own model and sampling settings
(temperature, max_tokens) plus thinking / reasoning_effort defaults,
so agents sharing a model profile are no longer stuck with one shared
temperature and output length (#4336).
AgentConfig gains optional model_settings / thinking_enabled /
reasoning_effort (None = inherit). create_chat_model applies per-caller
model_overrides on top of the profile before the thinking/Codex
transforms; the lead agent resolves each knob with precedence
request > agent config > profile/default. The /api/agents create/update
routes persist the fields and reject an unknown model. The default lead
agent path is unchanged (no agent config -> overrides None). The agent
chat composer also stops force-overriding an agent's configured default
model with models[0].
* fix(agents): tri-state thinking control and default-model capability gating
The model-settings dialog seeded the thinking switch to false, so opening
it to tweak temperature and saving silently disabled thinking (the runtime
default is on) with no way back to inherit. It also hid the thinking /
reasoning controls whenever the agent inherited the global default model,
since `__default__` never resolved through `models.find`.
Give thinking an explicit Inherit / On / Off tri-state so an untouched save
is a no-op, and resolve `__default__` to the effective default (models[0])
for the capability check. Logic lives in the tested helpers module.
* feat(gateway): add GET /api/features for frontend feature gating (#3757)
* feat(agents): add useAgentsApiEnabled feature-flag hook (#3757)
* feat(agents): gate /workspace/agents segment on agents_api flag (#3757)
* feat(sidebar): grey out Agents button with tooltip when agents_api disabled (#3757)
* fix(sidebar): show disabled Agents tooltip on hover, harden a11y + e2e (#3757)
- Wrap the disabled Agents button in a hoverable tooltip trigger so the
'feature not enabled' hint shows in the expanded sidebar, not only when
collapsed (the SidebarMenuButton tooltip prop is hidden unless collapsed).
- Add tabIndex={-1} and drop the redundant onClick preventDefault.
- Add e2e coverage for the disabled state + a default /api/features mock.
* style(sidebar): move cursor-not-allowed to the hoverable span (#3757)
* test(agents): anchor e2e agents-API request filter with a path regex (#3757)
* fix(agents): don't expose backend config in disabled message; tell user to contact admin (#3757)
The disabled panel previously said 'Set agents_api.enabled: true in
config.yaml', leaking backend configuration to end users. Replace with a
generic 'not enabled on this server, contact your administrator' message
(matching the existing nameStepApiDisabledError copy). e2e now asserts the
contact-admin message and that no config.yaml/agents_api text is rendered.
* make format
* fix(agents): keep agents_api flag sticky during /api/features outage (#3757)
Failing open re-mounted the agents UI and re-triggered the 403 storm when
agents_api was genuinely disabled and /api/features was down. Persist the
last definitive answer and fall back to it (sticky) before failing open,
only failing open when nothing has ever been observed. Read the cached
value after mount so the first client render matches the server (no
hydration mismatch on the non-loading-gated sidebar).
* fix(sidebar): make disabled Agents entry keyboard/SR accessible (#3757)
The disabled-state explanation was hover-only: tabIndex={-1} removed the
entry from the tab order and the reason lived only in a pointer-triggered
tooltip. Keep it in the tab order and wire aria-describedby to a
visually-hidden reason so keyboard and screen-reader users learn why it is
disabled.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix(frontend): truncate overflowing text in agent cards
Long custom agent names, descriptions, skills and tool-group labels
overflowed the agent card and broke its layout (issue #3389). The title
already had `truncate`, but it never took effect: an ancestor flex
container lacked `min-w-0`, so the flex item refused to shrink below its
content width.
- Restore the truncation chain by adding `min-w-0` to the title's flex
ancestors so `truncate` can finally take effect.
- Cap and ellipsize model / skill / tool-group badges via a small
`TruncatedBadge` (`block max-w-full truncate`).
- Reveal the full value on hover, but only when the text is actually
clipped (`TruncatedTooltip`, width + height detection), so names,
descriptions and labels stay readable without popping redundant
tooltips on short cards.
* fix(frontend): wrap unbreakable strings in agent card tooltips
A long token with no break opportunity (no spaces or hyphens) could still
overflow the tooltip horizontally. Add `break-words` next to the existing
`text-wrap` so such strings wrap instead of overflowing.
Addresses Copilot review feedback on tooltip wrapping robustness.
* fix(frontend): show agent card tooltips instantly
Drop the explicit `delayDuration` so card tooltips fall back to the
provider's default 0ms delay. Instant feedback is better UX for revealing
text that is already clipped, per maintainer review.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat(subagents): support per-subagent skill loading and custom subagent types (#2230)
Add per-subagent skill configuration and custom subagent type registration,
aligned with Codex's role-based config layering and per-session skill injection.
Backend:
- SubagentConfig gains `skills` field (None=all, []=none, list=whitelist)
- New CustomSubagentConfig for user-defined subagent types in config.yaml
- SubagentsAppConfig gains `custom_agents` section and `get_skills_for()`
- Registry resolves custom agents with three-layer config precedence
- SubagentExecutor loads skills per-session as conversation items (Codex pattern)
- task_tool no longer appends skills to system_prompt
- Lead agent system prompt dynamically lists all registered subagent types
- setup_agent tool accepts optional skills parameter
- Gateway agents API transparently passes skills in CRUD operations
Frontend:
- Agent/CreateAgentRequest/UpdateAgentRequest types include skills field
- Agent card displays skills as badges alongside tool_groups
Config:
- config.example.yaml documents custom_agents and per-agent skills override
Tests:
- 40 new tests covering all skill config, custom agents, and registry logic
- Existing tests updated for new get_skills_prompt_section signature
Closes#2230
* fix: address review feedback on skills PR
- Remove stale get_skills_prompt_section monkeypatches from test_task_tool_core_logic.py
(task_tool no longer imports this function after skill injection moved to executor)
- Add key prefixes (tg:/sk:) to agent-card badges to prevent React key collisions
between tool_groups and skills
* fix(ci): resolve lint and test failures
- Format agent-card.tsx with prettier (lint-frontend)
- Remove stale "Skills Appendix" system_prompt assertion — skills are now
loaded per-session by SubagentExecutor, not appended to system_prompt
* fix(ci): sort imports in test_subagent_skills_config.py (ruff I001)
* fix(ci): use nullish coalescing in agent-card badge condition (eslint)
* fix: address review feedback on skills PR
- Use model_fields_set in AgentUpdateRequest to distinguish "field omitted"
from "explicitly set to null" — fixes skills=None ambiguity where None
means "inherit all" but was treated as "don't change"
- Move lazy import of get_subagent_config outside loop in
_build_available_subagents_description to avoid repeated import overhead
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add agent management functionality with creation, editing, and deletion
* feat: enhance agent creation and chat experience
- Added AgentWelcome component to display agent description on new thread creation.
- Improved agent name validation with availability check during agent creation.
- Updated NewAgentPage to handle agent creation flow more effectively, including enhanced error handling and user feedback.
- Refactored chat components to streamline message handling and improve user experience.
- Introduced new bootstrap skill for personalized onboarding conversations, including detailed conversation phases and a structured SOUL.md template.
- Updated localization files to reflect new features and error messages.
- General code cleanup and optimizations across various components and hooks.
* Refactor workspace layout and agent management components
- Updated WorkspaceLayout to use useLayoutEffect for sidebar state initialization.
- Removed unused AgentFormDialog and related edit functionality from AgentCard.
- Introduced ArtifactTrigger component to manage artifact visibility.
- Enhanced ChatBox to handle artifact selection and display.
- Improved message list rendering logic to avoid loading states.
- Updated localization files to remove deprecated keys and add new translations.
- Refined hooks for local settings and thread management to improve performance and clarity.
- Added temporal awareness guidelines to deep research skill documentation.
* feat: refactor chat components and introduce thread management hooks
* feat: improve artifact file detail preview logic and clean up console logs
* feat: refactor lead agent creation logic and improve logging details
* feat: validate agent name format and enhance error handling in agent setup
* feat: simplify thread search query by removing unnecessary metadata
* feat: update query key in useDeleteThread and useRenameThread for consistency
* feat: add isMock parameter to thread and artifact handling for improved testing
* fix: reorder import of setup_agent for consistency in builtins module
* feat: append mock parameter to thread links in CaseStudySection for testing purposes
* fix: update load_agent_soul calls to use cfg.name for improved clarity
* fix: update date format in apply_prompt_template for consistency
* feat: integrate isMock parameter into artifact content loading for enhanced testing
* docs: add license section to SKILL.md for clarity and attribution
* feat(agent): enhance model resolution and agent configuration handling
* chore: remove unused import of _resolve_model_name from agents
* feat(agent): remove unused field
* fix(agent): set default value for requested_model_name in _resolve_model_name function
* feat(agent): update get_available_tools call to handle optional agent_config and improve middleware function signature
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>