Commit graph

5 commits

Author SHA1 Message Date
Johannes du Plessis
a26d5d32cb
feat: Add Fireworks model provider (#1415)
* feat: add Fireworks model provider with accurate reasoning levels

Adds Kimi K2.6, DeepSeek V4 Pro, Nemotron 3 Ultra, GLM 5.1 via fireworks: provider, mapping per-model reasoning_effort. Surfaces each model's real effort range (incl. openai none, deepseek xhigh/max).

* fix: drop serverless-unsupported Nemotron 3 Ultra, document FIREWORKS_API_KEY

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Co-authored-by: open-swe[bot] <215916821+open-swe[bot]@users.noreply.github.com>
2026-06-04 21:59:47 +00:00
Johannes du Plessis
a75e9b027b
fix: stabilize agent selector defaults (#1414)
* fix: stabilize agent defaults and repo selector

Co-authored-by: open-swe[bot] <215916821+open-swe[bot]@users.noreply.github.com>

* fix: align default repo selector styling, restore text fallback

Match the repo selector to sibling settings controls (h-7, bg-input/20,
text-xs). Fall back to a text input when the repo list is empty so a
default repo can still be entered.

* fix: make repo selector dropdown more compact

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Co-authored-by: open-swe[bot] <215916821+open-swe[bot]@users.noreply.github.com>
2026-06-04 21:06:25 +00:00
Johannes du Plessis
27677c4949
feat(dashboard): render Slack/Linear replies as a card in chat (#1399)
Slack thread replies and Linear comments showed only the bare tool name in the dashboard chat. Map them to dedicated 'slack'/'linear' toolKinds and render the message body in a ReplyCard, so Open-in-Web shows what the agent actually posted.
2026-06-03 22:05:47 +00:00
Johannes du Plessis
015476230c
feat: surface all of a user's agent threads in the Agents UI (#1366)
* feat: surface all of a user's agent threads in the Agents UI

Previously the Agents UI only listed and allowed opening threads with
source=dashboard. Threads triggered from GitHub, Slack, or Linear were
hidden and could not be opened.

- Persist owner-identifying metadata (source, github_login,
  triggering_user_email, source_context) onto the thread for each
  webhook-triggered main-agent run via upsert_agent_thread_owner_metadata,
  resolving a github_login from the triggering email where possible.
- Relax dashboard thread listing/ownership to surface github/slack/linear
  threads owned by the logged-in user (matched by github_login or email),
  and preserve the original source + reply-routing context when continuing
  such threads from the UI.
- Add a source field to the thread summary and render a source icon
  (GitHub/Slack/Linear) on thread items in the sidebar and run cards.

* Normalize triggering email when persisting thread owner metadata

Mixed-case Slack/Linear emails were stored verbatim, but the dashboard
searches with a lowercased value, so those threads never surfaced for
their owner. Normalize at write time to match _thread_owner_email.
2026-06-01 13:01:20 -07:00
Johannes du Plessis
e87085139b
feat: add Agents chat UI for cloud threads (#1323)
* feat(ui): add Agents chat UI ported from open-swe-app

Introduce a Cursor-style Agents surface separate from the dashboard, with ported chat/diff components and mock thread data until LangGraph APIs land.

Co-authored-by: Cursor <cursoragent@cursor.com>

* feat(dashboard): wire Agents UI to LangGraph thread APIs

Add dashboard thread list/detail/run/message/stream endpoints with a LangGraph message adapter, dashboard OAuth auth for runs, and TanStack Query hooks replacing mock data.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(dashboard): single agent reply per turn in Agents UI

Use UUID thread IDs LangGraph accepts, skip confirming_completion for
dashboard threads, and merge adapter agent messages so duplicate bubbles
do not render.

Co-authored-by: Cursor <cursoragent@cursor.com>

* feat(ui): polish Agents UI with floating prompt and layout cleanup

Remove no-op chrome (git panel, headers, sidebar search), port CloudPromptBar
from open-swe-app, and refine chat layout so messages scroll behind the input.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(agent): patch deepagents reducer for None messages on checkpoint replay

LangGraph thread state could 500 when cancelled runs left messages as None.
Apply the reducer guard before graph import, fall back to metadata in the
dashboard API, and adjust Agents prompt bar layout.

Co-authored-by: Cursor <cursoragent@cursor.com>

* feat(ui): unify sidebar user menu and clean up Agents UI navigation

Extract SidebarUserMenu so the dashboard and Agents sidebars render the
same profile button, drop the redundant Agents nav row in favor of the
existing Back to Agents link, add the open-swe logo header to the Agents
sidebar, flatten the New Agent button, and cap the home screen run list
to keep the prompt input in view.

* feat(ui): resizable/collapsible sidebar shared across dashboard and Agents

Add a useSidebarLayout hook + SidebarFrame wrapper so both sidebars
share a persisted width (default 260px, drag to resize, 200-420 range)
and a collapse toggle that hides the panel and surfaces a floating
reopen button. Also adds a DELETE /threads/{id} endpoint and an X-on-
hover thread delete control in the Agents sidebar.

* feat(ui): instant user message and busy indicator on Agents transition

Stash submitted prompts in sessionStorage, pre-populate the new thread
detail cache, and merge pending prompts into the rendered message list
so the Agents page renders the user bubble plus the existing thinking
spinner immediately instead of flashing a skeleton and "Agent is
starting" while the run boots.

* feat(ui): token-stream agent replies in the Agents thread view

Opt the LangGraph runs into messages-tuple streaming and forward those
events through the existing SSE channel. The frontend now applies
AIMessageChunk deltas directly to the cached thread (cancelling any
in-flight refetch first so optimistic tokens are not clobbered) and
keeps positional pending prompts so the user bubble stays in the right
place while the agent streams its reply.

* fix(dashboard): await threads.join_stream before iterating

threads.join_stream is async def returning an AsyncIterator, so it must
be awaited before async for. The SSE endpoint was raising
TypeError: 'async for' requires an object with __aiter__ method, got
coroutine on every connection.

* fix(dashboard): drop messages-tuple stream_mode that broke thinking-mode tool turns

Setting stream_mode=["values","messages-tuple","updates"] on
runs.create forces langchain_anthropic into streaming, and on the
second model call (after tool execution) its serialized thinking
blocks come back malformed, so Anthropic rejects the request with
'messages.1.content.0.thinking.thinking: Field required'. Revert to
the default stream_mode so claude-opus thinking + tool use runs to
completion. The frontend keeps the messages-event handler in place
as a no-op fallback for when streaming is re-enabled.

* feat(agents): per-thread model picker wired through to the run

Add optional model_id/effort to the create-thread and send-message
request bodies, forward them as agent_model_id/agent_effort in the
LangGraph run configurable, and record the resolved choice in thread
metadata so the UI can show the model the run is actually using.
get_agent now picks the per-thread override last (highest priority over
team default + profile override) and falls back gracefully when it is
absent or unsupported.

The frontend prompt bar becomes a controlled component fed by a
shared useModelOptions hook (options + profile -> defaultSelection).
AgentsHome seeds the picker from the user's profile default; the
thread view seeds from the thread's recorded model/effort and lets
each follow-up retarget the run.

* refactor(ui): align Agents prompt bar layout with open-swe-app PromptBar

Drop the absolute-positioned send button, restore the original
px-4 py-3.5 min-h-[106px] flex-col container, and move the model
picker into a mt-auto pt-2 footer row so the placeholder text and
the model selector share the same horizontal padding.

* chore: fix lint/format CI failures

Remove unused imports and reformat two files flagged by ruff.

* fix(tests): stop messages-reducer patch tests from polluting the suite

Restore agent modules after reducer patch tests and import LangSmithSandbox
from agent.server in proxy refresh tests so isinstance checks stay valid.

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Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-22 18:15:59 +00:00