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12 Commits

Author SHA1 Message Date
Otto
901b5e8b75 refactor: address review feedback
- Use pydantic Field(ge=0, le=300) instead of custom validators
- Extract shared wait logic to execution_utils.py
- Use asyncio.wait_for for proper timeout handling
- Remove duplicated code in agent_output.py and run_agent.py

Note: Direct DB access will need adjustment for #12057 compatibility
2026-02-17 13:39:59 +00:00
Otto
92ddb57460 style: move helper after function in agent_output.py too 2026-02-17 08:47:08 +00:00
Otto
55dcf9359a style: move helper after function it helps 2026-02-17 08:45:49 +00:00
Otto
08c44ba872 feat(copilot): add wait_for_result to run_agent tool
Adds wait_for_result parameter (0-300 seconds) to run_agent that blocks
until execution completes or times out.

- Uses Redis pubsub subscription via AsyncRedisExecutionEventBus (no polling)
- Returns immediately if execution finishes within timeout
- Returns current state + partial outputs on timeout
- Outputs included in ExecutionStartedResponse when wait is used

This allows LLMs to run agents and get results in a single tool call:
run_agent(username_agent_slug='user/agent', wait_for_result=60)
2026-02-17 08:44:25 +00:00
Otto
44e341dccc feat(copilot): add wait_if_running to view_agent_output tool
Adds ability to wait for execution completion instead of just returning
current state. Uses Redis pubsub subscription for real-time updates.

Changes:
- Add wait_if_running parameter (0-300 seconds) to AgentOutputInput
- Add _wait_for_execution_completion method using AsyncRedisExecutionEventBus
- Subscribe to execution updates via Redis pubsub channel
- Return immediately if execution already in terminal state
- Return current state on timeout
- Update response messages to indicate running/incomplete status

SECRT-2003
2026-02-17 08:04:50 +00:00
Reinier van der Leer
9d4dcbd9e0 fix(backend/docker): Make server last (= default) build stage
Without specifying an explicit build target it would build the `migrate` stage because it is the last stage in the Dockerfile. This caused deployment failures.

- Follow-up to #12124 and 074be7ae
2026-02-16 14:49:30 +01:00
Reinier van der Leer
074be7aea6 fix(backend/docker): Update run commands to match deployment
- Follow-up to #12124

Changes:
- Update `run` commands for all backend services in `docker-compose.platform.yml` to match the deployment commands used in production
- Add trigger on `docker-compose(.platform)?.yml` changes to the Frontend CI workflow
2026-02-16 14:23:29 +01:00
Otto
39d28b24fc ci(backend): Upgrade RabbitMQ from 3.12 (EOL) to 4.1.4 (#12118)
## Summary
Upgrades RabbitMQ from the end-of-life `rabbitmq:3.12-management` to
`rabbitmq:4.1.4`, aligning CI, local dev, and e2e testing with
production.

## Changes

### CI Workflow (`.github/workflows/platform-backend-ci.yml`)
- **Image:** `rabbitmq:3.12-management` → `rabbitmq:4.1.4`
- **Port:** Removed 15672 (management UI) — not used
- **Health check:** Added to prevent flaky tests from race conditions
during startup

### Docker Compose (`docker-compose.platform.yml`,
`docker-compose.test.yaml`)
- **Image:** `rabbitmq:management` → `rabbitmq:4.1.4`
- **Port:** Removed 15672 (management UI) — not used

## Why
- RabbitMQ 3.12 is EOL
- We don't use the management interface, so `-management` variant is
unnecessary
- CI and local dev/e2e should match production (4.1.4)

## Testing
CI validates that backend tests pass against RabbitMQ 4.1.4 on Python
3.11, 3.12, and 3.13.

---
Closes SECRT-1703
2026-02-16 12:45:39 +00:00
Reinier van der Leer
bf79a7748a fix(backend/build): Update stale Poetry usage in Dockerfile (#12124)
[SECRT-2006: Dev deployment failing: poetry not found in container
PATH](https://linear.app/autogpt/issue/SECRT-2006)

- Follow-up to #12090

### Changes 🏗️

- Remove now-broken Poetry path config values
- Remove usage of now-broken `poetry run` in container run command
- Add trigger on `backend/Dockerfile` changes to Frontend CI workflow

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - If it works, CI will pass
2026-02-16 13:54:20 +01:00
Otto
649d4ab7f5 feat(chat): Add delete chat session endpoint and UI (#12112)
## Summary

Adds the ability to delete chat sessions from the CoPilot interface.

## Changes

### Backend
- Add `DELETE /api/chat/sessions/{session_id}` endpoint in `routes.py`
- Returns 204 on success, 404 if not found or not owned by user
- Reuses existing `delete_chat_session` function from `model.py`

### Frontend
- Add delete button (trash icon) that appears on hover for each chat
session
- Add confirmation dialog before deletion using existing
`DeleteConfirmDialog` component
- Refresh session list after successful delete
- Clear current session selection if the deleted session was active
- Update OpenAPI spec with new endpoint

## Testing

1. Hover over a chat session in sidebar → trash icon appears
2. Click trash icon → confirmation dialog
3. Confirm deletion → session removed, list refreshes
4. If deleted session was active, selection is cleared

## Screenshots

Delete button appears on hover, confirmation dialog on click.

## Related Issues

Closes SECRT-1928

<!-- greptile_comment -->

<h2>Greptile Overview</h2>

<details><summary><h3>Greptile Summary</h3></summary>

Adds the ability to delete chat sessions from the CoPilot interface — a
new `DELETE /api/chat/sessions/{session_id}` backend endpoint and a
corresponding delete button with confirmation dialog in the
`ChatSidebar` frontend component.

- **Backend route** (`routes.py`): Clean implementation reusing the
existing `delete_chat_session` model function with proper auth guards
and 204/404 responses. No issues.
- **Frontend** (`ChatSidebar.tsx`): Adds hover-visible trash icon per
session, confirmation dialog, mutation with cache invalidation, and
active session clearing on delete. However, it uses a `__legacy__`
component (`DeleteConfirmDialog`) which violates the project's style
guide — new code should use the modern design system components. Error
handling only logs to console without user-facing feedback (project
convention is to use toast notifications for mutation errors).
`isDeleting` is destructured but unused.
- **OpenAPI spec** updated correctly.
- **Unrelated file included**:
`notes/plan-SECRT-1959-graph-edge-desync.md` is a planning document for
a different ticket and should be removed from this PR. The `notes/`
directory is newly introduced and both plan files should be reconsidered
for inclusion.
</details>


<details><summary><h3>Confidence Score: 3/5</h3></summary>

- Functionally correct but has style guide violations and includes
unrelated files that should be addressed before merge.
- The core feature implementation (backend DELETE endpoint and frontend
mutation logic) is sound and follows existing patterns. Score is lowered
because: (1) the frontend uses a legacy component explicitly prohibited
by the project's style guide, (2) mutation errors are not surfaced to
the user, and (3) the PR includes an unrelated planning document for a
different ticket.
- Pay close attention to `ChatSidebar.tsx` for the legacy component
import and error handling, and
`notes/plan-SECRT-1959-graph-edge-desync.md` which should be removed.
</details>


<details><summary><h3>Sequence Diagram</h3></summary>

```mermaid
sequenceDiagram
    participant User
    participant ChatSidebar as ChatSidebar (Frontend)
    participant ReactQuery as React Query
    participant API as DELETE /api/chat/sessions/{id}
    participant Model as model.delete_chat_session
    participant DB as db.delete_chat_session (Prisma)
    participant Redis as Redis Cache

    User->>ChatSidebar: Click trash icon on session
    ChatSidebar->>ChatSidebar: Show DeleteConfirmDialog
    User->>ChatSidebar: Confirm deletion
    ChatSidebar->>ReactQuery: deleteSession({ sessionId })
    ReactQuery->>API: DELETE /api/chat/sessions/{session_id}
    API->>Model: delete_chat_session(session_id, user_id)
    Model->>DB: delete_many(where: {id, userId})
    DB-->>Model: bool (deleted count > 0)
    Model->>Redis: Delete session cache key
    Model->>Model: Clean up session lock
    Model-->>API: True
    API-->>ReactQuery: 204 No Content
    ReactQuery->>ChatSidebar: onSuccess callback
    ChatSidebar->>ReactQuery: invalidateQueries(sessions list)
    ChatSidebar->>ChatSidebar: Clear sessionId if deleted was active
```
</details>


<sub>Last reviewed commit: 44a92c6</sub>

<!-- greptile_other_comments_section -->

<details><summary><h4>Context used (3)</h4></summary>

- Context from `dashboard` - autogpt_platform/frontend/CLAUDE.md
([source](https://app.greptile.com/review/custom-context?memory=39861924-d320-41ba-a1a7-a8bff44f780a))
- Context from `dashboard` - autogpt_platform/frontend/CONTRIBUTING.md
([source](https://app.greptile.com/review/custom-context?memory=cc4f1b17-cb5c-4b63-b218-c772b48e20ee))
- Context from `dashboard` - autogpt_platform/CLAUDE.md
([source](https://app.greptile.com/review/custom-context?memory=6e9dc5dc-8942-47df-8677-e60062ec8c3a))
</details>


<!-- /greptile_comment -->

---------

Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
2026-02-16 12:19:18 +00:00
Ubbe
223df9d3da feat(frontend): improve create/edit copilot UX (#12117)
## Changes 🏗️

Make the UX nicer when running long tasks in Copilot, like creating an
agent, editing it or running a task.

## Checklist 📋

### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] Run locally and play the game!

<!-- greptile_comment -->

<details><summary><h3>Greptile Summary</h3></summary>

This PR replaces the static progress bar and idle wait screens with an
interactive mini-game across the Create, Edit, and Run Agent copilot
tools. The existing mini-game (a simple runner with projectile-dodge
boss encounters) is significantly overhauled into a two-mode game: a
runner mode with animated tree obstacles and a duel mode featuring a
melee boss fight with attack, guard, and movement mechanics.
Sprite-based rendering replaces the previous shape-drawing approach.

- **Create/Edit/Run Agent UX**: All three tool views now show the
mini-game with contextual overlays during long-running operations,
replacing the progress bar in EditAgent and adding the game to RunAgent
- **Game mechanics overhaul**: Boss encounters changed from
projectile-dodging to melee duel with attack (Z), block (X), movement
(arrows), and jump (Space) controls
- **Sprite rendering**: Added 9 sprite sheet assets for characters,
trees, and boss animations with fallback to shape rendering if images
fail to load
- **UI overlays**: Added React-managed overlay states for idle,
boss-intro, boss-defeated, and game-over screens with continue/retry
buttons
- **Minor issues found**: Unused `isRunActive` variable in
`MiniGame.tsx`, unreachable "leaving" boss phase in `useMiniGame.ts`,
and a missing `expanded` property in `getAccordionMeta` return type
annotation in `EditAgent.tsx`
- **Unused asset**: `archer-shoot.png` is included in the PR but never
imported or referenced in any code
</details>


<details><summary><h3>Confidence Score: 4/5</h3></summary>

- This PR is safe to merge — it only affects the copilot mini-game UX
with no backend or data model changes.
- The changes are entirely frontend/cosmetic, scoped to the copilot
tools' waiting UX. The mini-game logic is self-contained in a
canvas-based hook and doesn't affect any application state, API calls,
or routing. The issues found are minor (unused variable, dead code, type
annotation gap, unused asset) and don't impact runtime behavior.
- `useMiniGame.ts` has the most complex logic changes (boss AI, death
animations, sprite rendering) and contains unreachable dead code in the
"leaving" phase handler. `EditAgent.tsx` has a return type annotation
that doesn't include `expanded`.
</details>


<details><summary><h3>Flowchart</h3></summary>

```mermaid
flowchart TD
    A[Game Idle] -->|"Start button"| B[Run Mode]
    B -->|"Jump over trees"| C{Score >= Threshold?}
    C -->|No| B
    C -->|"Yes, obstacles clear"| D[Boss Intro Overlay]
    D -->|"Continue button"| E[Duel Mode]
    E -->|"Attack Z / Guard X / Move ←→"| F{Boss HP <= 0?}
    F -->|No| G{Player hit & not guarding?}
    G -->|No| E
    G -->|Yes| H[Player Death Animation]
    H --> I[Game Over Overlay]
    I -->|"Retry button"| B
    F -->|Yes| J[Boss Death Animation]
    J --> K[Boss Defeated Overlay]
    K -->|"Continue button"| L[Reset Boss & Resume Run]
    L --> B
```
</details>


<sub>Last reviewed commit: ad80e24</sub>

<!-- greptile_other_comments_section -->

<!-- /greptile_comment -->
2026-02-16 10:53:08 +00:00
Ubbe
187ab04745 refactor(frontend): remove OldAgentLibraryView and NEW_AGENT_RUNS flag (#12088)
## Summary
- Removes the deprecated `OldAgentLibraryView` directory (13 files,
~2200 lines deleted)
- Removes the `NEW_AGENT_RUNS` feature flag from the `Flag` enum and
defaults
- Removes the legacy agent library page at `library/legacy/[id]`
- Moves shared `CronScheduler` components to
`src/components/contextual/CronScheduler/`
- Moves `agent-run-draft-view` and `agent-status-chip` to
`legacy-builder/` (co-located with their only consumer)
- Updates all import paths in consuming files (`AgentInfoStep`,
`SaveControl`, `RunnerInputUI`, `useRunGraph`)

## Test plan
- [x] `pnpm format` passes
- [x] `pnpm types` passes (no TypeScript errors)
- [x] No remaining references to `OldAgentLibraryView`,
`NEW_AGENT_RUNS`, or `new-agent-runs` in the codebase
- [x] Verify `RunnerInputUI` dialog still works in the legacy builder
- [x] Verify `AgentInfoStep` cron scheduling works in the publish modal
- [x] Verify `SaveControl` cron scheduling works in the legacy builder

🤖 Generated with [Claude Code](https://claude.com/claude-code)

<!-- greptile_comment -->

<h2>Greptile Overview</h2>

<details><summary><h3>Greptile Summary</h3></summary>

This PR removes deprecated code from the legacy agent library view
system and consolidates the codebase to use the new agent runs
implementation exclusively. The refactor successfully removes ~2200
lines of code across 13 deleted files while properly relocating shared
components.

**Key changes:**
- Removed the entire `OldAgentLibraryView` directory and its 13
component files
- Removed the `NEW_AGENT_RUNS` feature flag from the `Flag` enum and
defaults
- Deleted the legacy agent library page route at `library/legacy/[id]`
- Moved `CronScheduler` components to
`src/components/contextual/CronScheduler/` for shared use across the
application
- Moved `agent-run-draft-view` and `agent-status-chip` to
`legacy-builder/` directory, co-locating them with their only consumer
- Updated `useRunGraph.ts` to import `GraphExecutionMeta` from the
generated API models instead of the deleted custom type definition
- Updated all import paths in consuming components (`AgentInfoStep`,
`SaveControl`, `RunnerInputUI`)

**Technical notes:**
- The new import path for `GraphExecutionMeta`
(`@/app/api/__generated__/models/graphExecutionMeta`) will be generated
when running `pnpm generate:api` from the OpenAPI spec
- All references to the old code have been cleanly removed from the
codebase
- The refactor maintains proper separation of concerns by moving shared
components to contextual locations
</details>


<details><summary><h3>Confidence Score: 4/5</h3></summary>

- This PR is safe to merge with minimal risk, pending manual
verification of the UI components mentioned in the test plan
- The refactor is well-structured and all code changes are correct. The
score of 4 (rather than 5) reflects that the PR author has marked three
manual testing items as incomplete in the test plan: verifying
`RunnerInputUI` dialog, `AgentInfoStep` cron scheduling, and
`SaveControl` cron scheduling. While the code changes are sound, these
UI components should be manually tested before merging to ensure the
moved components work correctly in their new locations.
- No files require special attention. The author should complete the
manual testing checklist items for `RunnerInputUI`, `AgentInfoStep`, and
`SaveControl` as noted in the test plan.
</details>


<details><summary><h3>Sequence Diagram</h3></summary>

```mermaid
sequenceDiagram
    participant Dev as Developer
    participant FE as Frontend Build
    participant API as Backend API
    participant Gen as Generated Types

    Note over Dev,Gen: Refactor: Remove OldAgentLibraryView & NEW_AGENT_RUNS flag

    Dev->>FE: Delete OldAgentLibraryView (13 files, ~2200 lines)
    Dev->>FE: Remove NEW_AGENT_RUNS from Flag enum
    Dev->>FE: Delete library/legacy/[id]/page.tsx
    
    Dev->>FE: Move CronScheduler → src/components/contextual/
    Dev->>FE: Move agent-run-draft-view → legacy-builder/
    Dev->>FE: Move agent-status-chip → legacy-builder/
    
    Dev->>FE: Update RunnerInputUI import path
    Dev->>FE: Update SaveControl import path
    Dev->>FE: Update AgentInfoStep import path
    
    Dev->>FE: Update useRunGraph.ts
    FE->>Gen: Import GraphExecutionMeta from generated models
    Note over Gen: Type available after pnpm generate:api
    
    Gen-->>API: Uses OpenAPI spec schema
    API-->>FE: Type-safe GraphExecutionMeta model
```
</details>


<!-- greptile_other_comments_section -->

<!-- /greptile_comment -->

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 18:29:59 +08:00
53 changed files with 1539 additions and 2687 deletions

View File

@@ -41,13 +41,18 @@ jobs:
ports:
- 6379:6379
rabbitmq:
image: rabbitmq:3.12-management
image: rabbitmq:4.1.4
ports:
- 5672:5672
- 15672:15672
env:
RABBITMQ_DEFAULT_USER: ${{ env.RABBITMQ_DEFAULT_USER }}
RABBITMQ_DEFAULT_PASS: ${{ env.RABBITMQ_DEFAULT_PASS }}
options: >-
--health-cmd "rabbitmq-diagnostics -q ping"
--health-interval 30s
--health-timeout 10s
--health-retries 5
--health-start-period 10s
clamav:
image: clamav/clamav-debian:latest
ports:

View File

@@ -6,10 +6,16 @@ on:
paths:
- ".github/workflows/platform-frontend-ci.yml"
- "autogpt_platform/frontend/**"
- "autogpt_platform/backend/Dockerfile"
- "autogpt_platform/docker-compose.yml"
- "autogpt_platform/docker-compose.platform.yml"
pull_request:
paths:
- ".github/workflows/platform-frontend-ci.yml"
- "autogpt_platform/frontend/**"
- "autogpt_platform/backend/Dockerfile"
- "autogpt_platform/docker-compose.yml"
- "autogpt_platform/docker-compose.platform.yml"
merge_group:
workflow_dispatch:

View File

@@ -53,63 +53,6 @@ COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/parti
COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
RUN poetry run prisma generate && poetry run gen-prisma-stub
# ============================== BACKEND SERVER ============================== #
FROM debian:13-slim AS server
WORKDIR /app
ENV POETRY_HOME=/opt/poetry \
POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_CREATE=true \
POETRY_VIRTUALENVS_IN_PROJECT=true \
DEBIAN_FRONTEND=noninteractive
ENV PATH=/opt/poetry/bin:$PATH
# Install Python, FFmpeg, ImageMagick, and CLI tools for agent use.
# bubblewrap provides OS-level sandbox (whitelist-only FS + no network)
# for the bash_exec MCP tool.
# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
RUN apt-get update && apt-get install -y --no-install-recommends \
python3.13 \
python3-pip \
ffmpeg \
imagemagick \
jq \
ripgrep \
tree \
bubblewrap \
&& rm -rf /var/lib/apt/lists/*
COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
# Copy Node.js installation for Prisma
COPY --from=builder /usr/bin/node /usr/bin/node
COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
COPY --from=builder /usr/bin/npm /usr/bin/npm
COPY --from=builder /usr/bin/npx /usr/bin/npx
COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
WORKDIR /app/autogpt_platform/backend
# Copy only the .venv from builder (not the entire /app directory)
# The .venv includes the generated Prisma client
COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
# Copy dependency files + autogpt_libs (path dependency)
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
# Copy backend code + docs (for Copilot docs search)
COPY autogpt_platform/backend ./
COPY docs /app/docs
RUN poetry install --no-ansi --only-root
ENV PORT=8000
CMD ["poetry", "run", "rest"]
# =============================== DB MIGRATOR =============================== #
# Lightweight migrate stage - only needs Prisma CLI, not full Python environment
@@ -141,3 +84,59 @@ COPY autogpt_platform/backend/schema.prisma ./
COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
COPY autogpt_platform/backend/migrations ./migrations
# ============================== BACKEND SERVER ============================== #
FROM debian:13-slim AS server
WORKDIR /app
ENV DEBIAN_FRONTEND=noninteractive
# Install Python, FFmpeg, ImageMagick, and CLI tools for agent use.
# bubblewrap provides OS-level sandbox (whitelist-only FS + no network)
# for the bash_exec MCP tool.
# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
RUN apt-get update && apt-get install -y --no-install-recommends \
python3.13 \
python3-pip \
ffmpeg \
imagemagick \
jq \
ripgrep \
tree \
bubblewrap \
&& rm -rf /var/lib/apt/lists/*
# Copy poetry (build-time only, for `poetry install --only-root` to create entry points)
COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
# Copy Node.js installation for Prisma
COPY --from=builder /usr/bin/node /usr/bin/node
COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
COPY --from=builder /usr/bin/npm /usr/bin/npm
COPY --from=builder /usr/bin/npx /usr/bin/npx
COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
WORKDIR /app/autogpt_platform/backend
# Copy only the .venv from builder (not the entire /app directory)
# The .venv includes the generated Prisma client
COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
# Copy dependency files + autogpt_libs (path dependency)
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
# Copy backend code + docs (for Copilot docs search)
COPY autogpt_platform/backend ./
COPY docs /app/docs
# Install the project package to create entry point scripts in .venv/bin/
# (e.g., rest, executor, ws, db, scheduler, notification - see [tool.poetry.scripts])
RUN POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true \
poetry install --no-ansi --only-root
ENV PORT=8000
CMD ["rest"]

View File

@@ -23,6 +23,7 @@ from .model import (
ChatSession,
append_and_save_message,
create_chat_session,
delete_chat_session,
get_chat_session,
get_user_sessions,
)
@@ -211,6 +212,43 @@ async def create_session(
)
@router.delete(
"/sessions/{session_id}",
dependencies=[Security(auth.requires_user)],
status_code=204,
responses={404: {"description": "Session not found or access denied"}},
)
async def delete_session(
session_id: str,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> Response:
"""
Delete a chat session.
Permanently removes a chat session and all its messages.
Only the owner can delete their sessions.
Args:
session_id: The session ID to delete.
user_id: The authenticated user's ID.
Returns:
204 No Content on success.
Raises:
HTTPException: 404 if session not found or not owned by user.
"""
deleted = await delete_chat_session(session_id, user_id)
if not deleted:
raise HTTPException(
status_code=404,
detail=f"Session {session_id} not found or access denied",
)
return Response(status_code=204)
@router.get(
"/sessions/{session_id}",
)

View File

@@ -5,7 +5,7 @@ import re
from datetime import datetime, timedelta, timezone
from typing import Any
from pydantic import BaseModel, field_validator
from pydantic import BaseModel, Field, field_validator
from backend.api.features.chat.model import ChatSession
from backend.api.features.library import db as library_db
@@ -14,6 +14,7 @@ from backend.data import execution as execution_db
from backend.data.execution import ExecutionStatus, GraphExecution, GraphExecutionMeta
from .base import BaseTool
from .execution_utils import TERMINAL_STATUSES, wait_for_execution
from .models import (
AgentOutputResponse,
ErrorResponse,
@@ -34,6 +35,7 @@ class AgentOutputInput(BaseModel):
store_slug: str = ""
execution_id: str = ""
run_time: str = "latest"
wait_if_running: int = Field(default=0, ge=0, le=300)
@field_validator(
"agent_name",
@@ -117,6 +119,11 @@ class AgentOutputTool(BaseTool):
Select which run to retrieve using:
- execution_id: Specific execution ID
- run_time: 'latest' (default), 'yesterday', 'last week', or ISO date 'YYYY-MM-DD'
Wait for completion (optional):
- wait_if_running: Max seconds to wait if execution is still running (0-300).
If the execution is running/queued, waits up to this many seconds for it to complete.
Returns current status on timeout. If already finished, returns immediately.
"""
@property
@@ -146,6 +153,13 @@ class AgentOutputTool(BaseTool):
"Time filter: 'latest', 'yesterday', 'last week', or 'YYYY-MM-DD'"
),
},
"wait_if_running": {
"type": "integer",
"description": (
"Max seconds to wait if execution is still running (0-300). "
"If running, waits for completion. Returns current state on timeout."
),
},
},
"required": [],
}
@@ -223,10 +237,14 @@ class AgentOutputTool(BaseTool):
execution_id: str | None,
time_start: datetime | None,
time_end: datetime | None,
include_running: bool = False,
) -> tuple[GraphExecution | None, list[GraphExecutionMeta], str | None]:
"""
Fetch execution(s) based on filters.
Returns (single_execution, available_executions_meta, error_message).
Args:
include_running: If True, also look for running/queued executions (for waiting)
"""
# If specific execution_id provided, fetch it directly
if execution_id:
@@ -239,11 +257,22 @@ class AgentOutputTool(BaseTool):
return None, [], f"Execution '{execution_id}' not found"
return execution, [], None
# Get completed executions with time filters
# Determine which statuses to query
statuses = [ExecutionStatus.COMPLETED]
if include_running:
statuses.extend(
[
ExecutionStatus.RUNNING,
ExecutionStatus.QUEUED,
ExecutionStatus.INCOMPLETE,
]
)
# Get executions with time filters
executions = await execution_db.get_graph_executions(
graph_id=graph_id,
user_id=user_id,
statuses=[ExecutionStatus.COMPLETED],
statuses=statuses,
created_time_gte=time_start,
created_time_lte=time_end,
limit=10,
@@ -310,10 +339,28 @@ class AgentOutputTool(BaseTool):
for e in available_executions[:5]
]
message = f"Found execution outputs for agent '{agent.name}'"
# Build appropriate message based on execution status
if execution.status == ExecutionStatus.COMPLETED:
message = f"Found execution outputs for agent '{agent.name}'"
elif execution.status == ExecutionStatus.FAILED:
message = f"Execution for agent '{agent.name}' failed"
elif execution.status == ExecutionStatus.TERMINATED:
message = f"Execution for agent '{agent.name}' was terminated"
elif execution.status in (
ExecutionStatus.RUNNING,
ExecutionStatus.QUEUED,
ExecutionStatus.INCOMPLETE,
):
message = (
f"Execution for agent '{agent.name}' is still {execution.status.value}. "
"Results may be incomplete. Use wait_if_running to wait for completion."
)
else:
message = f"Found execution for agent '{agent.name}' (status: {execution.status.value})"
if len(available_executions) > 1:
message += (
f". Showing latest of {len(available_executions)} matching executions."
f" Showing latest of {len(available_executions)} matching executions."
)
return AgentOutputResponse(
@@ -428,13 +475,17 @@ class AgentOutputTool(BaseTool):
# Parse time expression
time_start, time_end = parse_time_expression(input_data.run_time)
# Fetch execution(s)
# Check if we should wait for running executions
wait_timeout = input_data.wait_if_running
# Fetch execution(s) - include running if we're going to wait
execution, available_executions, exec_error = await self._get_execution(
user_id=user_id,
graph_id=agent.graph_id,
execution_id=input_data.execution_id or None,
time_start=time_start,
time_end=time_end,
include_running=wait_timeout > 0,
)
if exec_error:
@@ -443,4 +494,17 @@ class AgentOutputTool(BaseTool):
session_id=session_id,
)
# If we have an execution that's still running and we should wait
if execution and wait_timeout > 0 and execution.status not in TERMINAL_STATUSES:
logger.info(
f"Execution {execution.id} is {execution.status}, "
f"waiting up to {wait_timeout}s for completion"
)
execution = await wait_for_execution(
user_id=user_id,
graph_id=agent.graph_id,
execution_id=execution.id,
timeout_seconds=wait_timeout,
)
return self._build_response(agent, execution, available_executions, session_id)

View File

@@ -0,0 +1,124 @@
"""Shared utilities for execution waiting and status handling."""
import asyncio
import logging
from typing import Any
from backend.data import execution as execution_db
from backend.data.execution import (
AsyncRedisExecutionEventBus,
ExecutionStatus,
GraphExecution,
GraphExecutionEvent,
)
logger = logging.getLogger(__name__)
# Terminal statuses that indicate execution is complete
TERMINAL_STATUSES = frozenset(
{
ExecutionStatus.COMPLETED,
ExecutionStatus.FAILED,
ExecutionStatus.TERMINATED,
}
)
async def wait_for_execution(
user_id: str,
graph_id: str,
execution_id: str,
timeout_seconds: int,
) -> GraphExecution | None:
"""
Wait for an execution to reach a terminal status using Redis pubsub.
Uses asyncio.wait_for to ensure timeout is respected even when no events
are received.
Args:
user_id: User ID
graph_id: Graph ID
execution_id: Execution ID to wait for
timeout_seconds: Max seconds to wait
Returns:
The execution with current status, or None if not found
"""
# First check current status - maybe it's already done
execution = await execution_db.get_graph_execution(
user_id=user_id,
execution_id=execution_id,
include_node_executions=False,
)
if not execution:
return None
# If already in terminal state, return immediately
if execution.status in TERMINAL_STATUSES:
logger.debug(
f"Execution {execution_id} already in terminal state: {execution.status}"
)
return execution
logger.info(
f"Waiting up to {timeout_seconds}s for execution {execution_id} "
f"(current status: {execution.status})"
)
# Subscribe to execution updates via Redis pubsub
event_bus = AsyncRedisExecutionEventBus()
channel_key = f"{user_id}/{graph_id}/{execution_id}"
try:
# Use wait_for to enforce timeout on the entire listen operation
result = await asyncio.wait_for(
_listen_for_terminal_status(event_bus, channel_key, user_id, execution_id),
timeout=timeout_seconds,
)
return result
except asyncio.TimeoutError:
logger.info(f"Timeout waiting for execution {execution_id}")
except Exception as e:
logger.error(f"Error waiting for execution: {e}", exc_info=True)
# Return current state on timeout/error
return await execution_db.get_graph_execution(
user_id=user_id,
execution_id=execution_id,
include_node_executions=False,
)
async def _listen_for_terminal_status(
event_bus: AsyncRedisExecutionEventBus,
channel_key: str,
user_id: str,
execution_id: str,
) -> GraphExecution | None:
"""
Listen for execution events until a terminal status is reached.
This is a helper that gets wrapped in asyncio.wait_for for timeout handling.
"""
async for event in event_bus.listen_events(channel_key):
# Only process GraphExecutionEvents (not NodeExecutionEvents)
if isinstance(event, GraphExecutionEvent):
logger.debug(f"Received execution update: {event.status}")
if event.status in TERMINAL_STATUSES:
# Fetch full execution with outputs
return await execution_db.get_graph_execution(
user_id=user_id,
execution_id=execution_id,
include_node_executions=False,
)
# Should not reach here normally (generator should yield indefinitely)
return None
def get_execution_outputs(execution: GraphExecution | None) -> dict[str, Any] | None:
"""Extract outputs from an execution, or return None."""
if execution is None:
return None
return execution.outputs

View File

@@ -192,6 +192,7 @@ class ExecutionStartedResponse(ToolResponseBase):
library_agent_id: str | None = None
library_agent_link: str | None = None
status: str = "QUEUED"
outputs: dict[str, Any] | None = None # Populated when wait_for_result is used
# Auth/error models

View File

@@ -12,6 +12,7 @@ from backend.api.features.chat.tracking import (
track_agent_scheduled,
)
from backend.api.features.library import db as library_db
from backend.data.execution import ExecutionStatus
from backend.data.graph import GraphModel
from backend.data.model import CredentialsMetaInput
from backend.data.user import get_user_by_id
@@ -24,6 +25,7 @@ from backend.util.timezone_utils import (
)
from .base import BaseTool
from .execution_utils import get_execution_outputs, wait_for_execution
from .helpers import get_inputs_from_schema
from .models import (
AgentDetails,
@@ -70,6 +72,7 @@ class RunAgentInput(BaseModel):
schedule_name: str = ""
cron: str = ""
timezone: str = "UTC"
wait_for_result: int = Field(default=0, ge=0, le=300)
@field_validator(
"username_agent_slug",
@@ -151,6 +154,14 @@ class RunAgentTool(BaseTool):
"type": "string",
"description": "IANA timezone for schedule (default: UTC)",
},
"wait_for_result": {
"type": "integer",
"description": (
"Max seconds to wait for execution to complete (0-300). "
"If >0, blocks until the execution finishes or times out. "
"Returns execution outputs when complete."
),
},
},
"required": [],
}
@@ -347,6 +358,7 @@ class RunAgentTool(BaseTool):
graph=graph,
graph_credentials=graph_credentials,
inputs=params.inputs,
wait_for_result=params.wait_for_result,
)
except NotFoundError as e:
@@ -430,8 +442,9 @@ class RunAgentTool(BaseTool):
graph: GraphModel,
graph_credentials: dict[str, CredentialsMetaInput],
inputs: dict[str, Any],
wait_for_result: int = 0,
) -> ToolResponseBase:
"""Execute an agent immediately."""
"""Execute an agent immediately, optionally waiting for completion."""
session_id = session.session_id
# Check rate limits
@@ -468,6 +481,60 @@ class RunAgentTool(BaseTool):
)
library_agent_link = f"/library/agents/{library_agent.id}"
# If wait_for_result is specified, wait for execution to complete
if wait_for_result > 0:
logger.info(
f"Waiting up to {wait_for_result}s for execution {execution.id}"
)
result = await wait_for_execution(
user_id=user_id,
graph_id=library_agent.graph_id,
execution_id=execution.id,
timeout_seconds=wait_for_result,
)
final_status = result.status if result else ExecutionStatus.FAILED
outputs = get_execution_outputs(result)
# Build message based on final status
if final_status == ExecutionStatus.COMPLETED:
message = (
f"Agent '{library_agent.name}' execution completed successfully. "
f"{MSG_DO_NOT_RUN_AGAIN}"
)
elif final_status == ExecutionStatus.FAILED:
message = (
f"Agent '{library_agent.name}' execution failed. "
f"View details at {library_agent_link}. "
f"{MSG_DO_NOT_RUN_AGAIN}"
)
elif final_status == ExecutionStatus.TERMINATED:
message = (
f"Agent '{library_agent.name}' execution was terminated. "
f"View details at {library_agent_link}. "
f"{MSG_DO_NOT_RUN_AGAIN}"
)
else:
message = (
f"Agent '{library_agent.name}' execution is still {final_status.value} "
f"(timed out after {wait_for_result}s). "
f"View at {library_agent_link}. "
f"{MSG_DO_NOT_RUN_AGAIN}"
)
return ExecutionStartedResponse(
message=message,
session_id=session_id,
execution_id=execution.id,
graph_id=library_agent.graph_id,
graph_name=library_agent.name,
library_agent_id=library_agent.id,
library_agent_link=library_agent_link,
status=final_status.value,
outputs=outputs,
)
# Default: return immediately without waiting
return ExecutionStartedResponse(
message=(
f"Agent '{library_agent.name}' execution started successfully. "

View File

@@ -53,7 +53,7 @@ services:
rabbitmq:
<<: *agpt-services
image: rabbitmq:management
image: rabbitmq:4.1.4
container_name: rabbitmq
healthcheck:
test: rabbitmq-diagnostics -q ping
@@ -66,7 +66,6 @@ services:
- RABBITMQ_DEFAULT_PASS=k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7
ports:
- "5672:5672"
- "15672:15672"
clamav:
image: clamav/clamav-debian:latest
ports:

View File

@@ -75,7 +75,7 @@ services:
timeout: 5s
retries: 5
rabbitmq:
image: rabbitmq:management
image: rabbitmq:4.1.4
container_name: rabbitmq
healthcheck:
test: rabbitmq-diagnostics -q ping
@@ -88,14 +88,13 @@ services:
<<: *backend-env
ports:
- "5672:5672"
- "15672:15672"
rest_server:
build:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.rest"]
command: ["rest"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./
@@ -128,7 +127,7 @@ services:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.exec"]
command: ["executor"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./
@@ -163,7 +162,7 @@ services:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.ws"]
command: ["ws"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./
@@ -196,7 +195,7 @@ services:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.db"]
command: ["db"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./
@@ -225,7 +224,7 @@ services:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.scheduler"]
command: ["scheduler"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./
@@ -273,7 +272,7 @@ services:
context: ../
dockerfile: autogpt_platform/backend/Dockerfile
target: server
command: ["python", "-m", "backend.notification"]
command: ["notification"] # points to entry in [tool.poetry.scripts] in pyproject.toml
develop:
watch:
- path: ./

View File

@@ -4,7 +4,7 @@ import {
} from "@/app/api/__generated__/endpoints/graphs/graphs";
import { useToast } from "@/components/molecules/Toast/use-toast";
import { parseAsInteger, parseAsString, useQueryStates } from "nuqs";
import { GraphExecutionMeta } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/use-agent-runs";
import { GraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
import { useShallow } from "zustand/react/shallow";
import { useEffect, useState } from "react";

View File

@@ -1,6 +1,6 @@
import { useCallback } from "react";
import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view";
import { AgentRunDraftView } from "@/app/(platform)/build/components/legacy-builder/agent-run-draft-view";
import { Dialog } from "@/components/molecules/Dialog/Dialog";
import type {
CredentialsMetaInput,

View File

@@ -18,7 +18,7 @@ import {
import { useToast } from "@/components/molecules/Toast/use-toast";
import { useQueryClient } from "@tanstack/react-query";
import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
import { humanizeCronExpression } from "@/lib/cron-expression-utils";
import { CalendarClockIcon } from "lucide-react";

View File

@@ -20,7 +20,7 @@ import {
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
import { RunAgentInputs } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentInputs/RunAgentInputs";
import { ScheduleTaskDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
import { ScheduleTaskDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
import ActionButtonGroup from "@/components/__legacy__/action-button-group";
import type { ButtonAction } from "@/components/__legacy__/types";
import {
@@ -53,7 +53,10 @@ import { ClockIcon, CopyIcon, InfoIcon } from "@phosphor-icons/react";
import { CalendarClockIcon, Trash2Icon } from "lucide-react";
import { analytics } from "@/services/analytics";
import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
import {
AgentStatus,
AgentStatusChip,
} from "@/app/(platform)/build/components/legacy-builder/agent-status-chip";
export function AgentRunDraftView({
graph,

View File

@@ -1,6 +1,8 @@
"use client";
import { SidebarProvider } from "@/components/ui/sidebar";
// TODO: Replace with modern Dialog component when available
import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
import { ChatContainer } from "./components/ChatContainer/ChatContainer";
import { ChatSidebar } from "./components/ChatSidebar/ChatSidebar";
import { MobileDrawer } from "./components/MobileDrawer/MobileDrawer";
@@ -31,6 +33,12 @@ export function CopilotPage() {
handleDrawerOpenChange,
handleSelectSession,
handleNewChat,
// Delete functionality
sessionToDelete,
isDeleting,
handleDeleteClick,
handleConfirmDelete,
handleCancelDelete,
} = useCopilotPage();
if (isUserLoading || !isLoggedIn) {
@@ -48,7 +56,19 @@ export function CopilotPage() {
>
{!isMobile && <ChatSidebar />}
<div className="relative flex h-full w-full flex-col overflow-hidden bg-[#f8f8f9] px-0">
{isMobile && <MobileHeader onOpenDrawer={handleOpenDrawer} />}
{isMobile && (
<MobileHeader
onOpenDrawer={handleOpenDrawer}
showDelete={!!sessionId}
isDeleting={isDeleting}
onDelete={() => {
const session = sessions.find((s) => s.id === sessionId);
if (session) {
handleDeleteClick(session.id, session.title);
}
}}
/>
)}
<div className="flex-1 overflow-hidden">
<ChatContainer
messages={messages}
@@ -75,6 +95,16 @@ export function CopilotPage() {
onOpenChange={handleDrawerOpenChange}
/>
)}
{/* Delete confirmation dialog - rendered at top level for proper z-index on mobile */}
{isMobile && (
<DeleteConfirmDialog
entityType="chat"
entityName={sessionToDelete?.title || "Untitled chat"}
open={!!sessionToDelete}
onOpenChange={(open) => !open && handleCancelDelete()}
onDoDelete={handleConfirmDelete}
/>
)}
</SidebarProvider>
);
}

View File

@@ -1,8 +1,15 @@
"use client";
import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
import {
getGetV2ListSessionsQueryKey,
useDeleteV2DeleteSession,
useGetV2ListSessions,
} from "@/app/api/__generated__/endpoints/chat/chat";
import { Button } from "@/components/atoms/Button/Button";
import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
import { Text } from "@/components/atoms/Text/Text";
import { toast } from "@/components/molecules/Toast/use-toast";
// TODO: Replace with modern Dialog component when available
import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
import {
Sidebar,
SidebarContent,
@@ -12,18 +19,52 @@ import {
useSidebar,
} from "@/components/ui/sidebar";
import { cn } from "@/lib/utils";
import { PlusCircleIcon, PlusIcon } from "@phosphor-icons/react";
import { PlusCircleIcon, PlusIcon, TrashIcon } from "@phosphor-icons/react";
import { useQueryClient } from "@tanstack/react-query";
import { motion } from "framer-motion";
import { useState } from "react";
import { parseAsString, useQueryState } from "nuqs";
export function ChatSidebar() {
const { state } = useSidebar();
const isCollapsed = state === "collapsed";
const [sessionId, setSessionId] = useQueryState("sessionId", parseAsString);
const [sessionToDelete, setSessionToDelete] = useState<{
id: string;
title: string | null | undefined;
} | null>(null);
const queryClient = useQueryClient();
const { data: sessionsResponse, isLoading: isLoadingSessions } =
useGetV2ListSessions({ limit: 50 });
const { mutate: deleteSession, isPending: isDeleting } =
useDeleteV2DeleteSession({
mutation: {
onSuccess: () => {
// Invalidate sessions list to refetch
queryClient.invalidateQueries({
queryKey: getGetV2ListSessionsQueryKey(),
});
// If we deleted the current session, clear selection
if (sessionToDelete?.id === sessionId) {
setSessionId(null);
}
setSessionToDelete(null);
},
onError: (error) => {
toast({
title: "Failed to delete chat",
description:
error instanceof Error ? error.message : "An error occurred",
variant: "destructive",
});
setSessionToDelete(null);
},
},
});
const sessions =
sessionsResponse?.status === 200 ? sessionsResponse.data.sessions : [];
@@ -35,6 +76,22 @@ export function ChatSidebar() {
setSessionId(id);
}
function handleDeleteClick(
e: React.MouseEvent,
id: string,
title: string | null | undefined,
) {
e.stopPropagation(); // Prevent session selection
if (isDeleting) return; // Prevent double-click during deletion
setSessionToDelete({ id, title });
}
function handleConfirmDelete() {
if (sessionToDelete) {
deleteSession({ sessionId: sessionToDelete.id });
}
}
function formatDate(dateString: string) {
const date = new Date(dateString);
const now = new Date();
@@ -61,128 +118,152 @@ export function ChatSidebar() {
}
return (
<Sidebar
variant="inset"
collapsible="icon"
className="!top-[50px] !h-[calc(100vh-50px)] border-r border-zinc-100 px-0"
>
{isCollapsed && (
<SidebarHeader
className={cn(
"flex",
isCollapsed
? "flex-row items-center justify-between gap-y-4 md:flex-col md:items-start md:justify-start"
: "flex-row items-center justify-between",
)}
>
<motion.div
key={isCollapsed ? "header-collapsed" : "header-expanded"}
className="flex flex-col items-center gap-3 pt-4"
initial={{ opacity: 0, filter: "blur(3px)" }}
animate={{ opacity: 1, filter: "blur(0px)" }}
transition={{ type: "spring", bounce: 0.2 }}
>
<div className="flex flex-col items-center gap-2">
<SidebarTrigger />
<Button
variant="ghost"
onClick={handleNewChat}
style={{ minWidth: "auto", width: "auto" }}
>
<PlusCircleIcon className="!size-5" />
<span className="sr-only">New Chat</span>
</Button>
</div>
</motion.div>
</SidebarHeader>
)}
<SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
{!isCollapsed && (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.1 }}
className="flex items-center justify-between px-3"
>
<Text variant="h3" size="body-medium">
Your chats
</Text>
<div className="relative left-6">
<SidebarTrigger />
</div>
</motion.div>
)}
{!isCollapsed && (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.15 }}
className="mt-4 flex flex-col gap-1"
>
{isLoadingSessions ? (
<div className="flex min-h-[30rem] items-center justify-center py-4">
<LoadingSpinner size="small" className="text-neutral-600" />
</div>
) : sessions.length === 0 ? (
<p className="py-4 text-center text-sm text-neutral-500">
No conversations yet
</p>
) : (
sessions.map((session) => (
<button
key={session.id}
onClick={() => handleSelectSession(session.id)}
className={cn(
"w-full rounded-lg px-3 py-2.5 text-left transition-colors",
session.id === sessionId
? "bg-zinc-100"
: "hover:bg-zinc-50",
)}
>
<div className="flex min-w-0 max-w-full flex-col overflow-hidden">
<div className="min-w-0 max-w-full">
<Text
variant="body"
className={cn(
"truncate font-normal",
session.id === sessionId
? "text-zinc-600"
: "text-zinc-800",
)}
>
{session.title || `Untitled chat`}
</Text>
</div>
<Text variant="small" className="text-neutral-400">
{formatDate(session.updated_at)}
</Text>
</div>
</button>
))
<>
<Sidebar
variant="inset"
collapsible="icon"
className="!top-[50px] !h-[calc(100vh-50px)] border-r border-zinc-100 px-0"
>
{isCollapsed && (
<SidebarHeader
className={cn(
"flex",
isCollapsed
? "flex-row items-center justify-between gap-y-4 md:flex-col md:items-start md:justify-start"
: "flex-row items-center justify-between",
)}
</motion.div>
)}
</SidebarContent>
{!isCollapsed && sessionId && (
<SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.2 }}
>
<Button
variant="primary"
size="small"
onClick={handleNewChat}
className="w-full"
leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
<motion.div
key={isCollapsed ? "header-collapsed" : "header-expanded"}
className="flex flex-col items-center gap-3 pt-4"
initial={{ opacity: 0, filter: "blur(3px)" }}
animate={{ opacity: 1, filter: "blur(0px)" }}
transition={{ type: "spring", bounce: 0.2 }}
>
New Chat
</Button>
</motion.div>
</SidebarFooter>
)}
</Sidebar>
<div className="flex flex-col items-center gap-2">
<SidebarTrigger />
<Button
variant="ghost"
onClick={handleNewChat}
style={{ minWidth: "auto", width: "auto" }}
>
<PlusCircleIcon className="!size-5" />
<span className="sr-only">New Chat</span>
</Button>
</div>
</motion.div>
</SidebarHeader>
)}
<SidebarContent className="gap-4 overflow-y-auto px-4 py-4 [-ms-overflow-style:none] [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
{!isCollapsed && (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.1 }}
className="flex items-center justify-between px-3"
>
<Text variant="h3" size="body-medium">
Your chats
</Text>
<div className="relative left-6">
<SidebarTrigger />
</div>
</motion.div>
)}
{!isCollapsed && (
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.15 }}
className="mt-4 flex flex-col gap-1"
>
{isLoadingSessions ? (
<div className="flex min-h-[30rem] items-center justify-center py-4">
<LoadingSpinner size="small" className="text-neutral-600" />
</div>
) : sessions.length === 0 ? (
<p className="py-4 text-center text-sm text-neutral-500">
No conversations yet
</p>
) : (
sessions.map((session) => (
<div
key={session.id}
className={cn(
"group relative w-full rounded-lg transition-colors",
session.id === sessionId
? "bg-zinc-100"
: "hover:bg-zinc-50",
)}
>
<button
onClick={() => handleSelectSession(session.id)}
className="w-full px-3 py-2.5 pr-10 text-left"
>
<div className="flex min-w-0 max-w-full flex-col overflow-hidden">
<div className="min-w-0 max-w-full">
<Text
variant="body"
className={cn(
"truncate font-normal",
session.id === sessionId
? "text-zinc-600"
: "text-zinc-800",
)}
>
{session.title || `Untitled chat`}
</Text>
</div>
<Text variant="small" className="text-neutral-400">
{formatDate(session.updated_at)}
</Text>
</div>
</button>
<button
onClick={(e) =>
handleDeleteClick(e, session.id, session.title)
}
disabled={isDeleting}
className="absolute right-2 top-1/2 -translate-y-1/2 rounded p-1.5 text-zinc-400 opacity-0 transition-all group-hover:opacity-100 hover:bg-red-100 hover:text-red-600 focus-visible:opacity-100 disabled:cursor-not-allowed disabled:opacity-50"
aria-label="Delete chat"
>
<TrashIcon className="h-4 w-4" />
</button>
</div>
))
)}
</motion.div>
)}
</SidebarContent>
{!isCollapsed && sessionId && (
<SidebarFooter className="shrink-0 bg-zinc-50 p-3 pb-1 shadow-[0_-4px_6px_-1px_rgba(0,0,0,0.05)]">
<motion.div
initial={{ opacity: 0 }}
animate={{ opacity: 1 }}
transition={{ duration: 0.2, delay: 0.2 }}
>
<Button
variant="primary"
size="small"
onClick={handleNewChat}
className="w-full"
leftIcon={<PlusIcon className="h-4 w-4" weight="bold" />}
>
New Chat
</Button>
</motion.div>
</SidebarFooter>
)}
</Sidebar>
<DeleteConfirmDialog
entityType="chat"
entityName={sessionToDelete?.title || "Untitled chat"}
open={!!sessionToDelete}
onOpenChange={(open) => !open && setSessionToDelete(null)}
onDoDelete={handleConfirmDelete}
/>
</>
);
}

View File

@@ -1,22 +1,46 @@
import { Button } from "@/components/atoms/Button/Button";
import { NAVBAR_HEIGHT_PX } from "@/lib/constants";
import { ListIcon } from "@phosphor-icons/react";
import { ListIcon, TrashIcon } from "@phosphor-icons/react";
interface Props {
onOpenDrawer: () => void;
showDelete?: boolean;
isDeleting?: boolean;
onDelete?: () => void;
}
export function MobileHeader({ onOpenDrawer }: Props) {
export function MobileHeader({
onOpenDrawer,
showDelete,
isDeleting,
onDelete,
}: Props) {
return (
<Button
variant="icon"
size="icon"
aria-label="Open sessions"
onClick={onOpenDrawer}
className="fixed z-50 bg-white shadow-md"
<div
className="fixed z-50 flex gap-2"
style={{ left: "1rem", top: `${NAVBAR_HEIGHT_PX + 20}px` }}
>
<ListIcon width="1.25rem" height="1.25rem" />
</Button>
<Button
variant="icon"
size="icon"
aria-label="Open sessions"
onClick={onOpenDrawer}
className="bg-white shadow-md"
>
<ListIcon width="1.25rem" height="1.25rem" />
</Button>
{showDelete && onDelete && (
<Button
variant="icon"
size="icon"
aria-label="Delete current chat"
onClick={onDelete}
disabled={isDeleting}
className="bg-white text-red-500 shadow-md hover:bg-red-50 hover:text-red-600 disabled:opacity-50"
>
<TrashIcon width="1.25rem" height="1.25rem" />
</Button>
)}
</div>
);
}

View File

@@ -4,11 +4,11 @@ import { Button } from "@/components/atoms/Button/Button";
import { Text } from "@/components/atoms/Text/Text";
import {
BookOpenIcon,
CheckFatIcon,
PencilSimpleIcon,
WarningDiamondIcon,
} from "@phosphor-icons/react";
import type { ToolUIPart } from "ai";
import Image from "next/image";
import NextLink from "next/link";
import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
@@ -24,6 +24,7 @@ import {
ClarificationQuestionsCard,
ClarifyingQuestion,
} from "./components/ClarificationQuestionsCard";
import sparklesImg from "./components/MiniGame/assets/sparkles.png";
import { MiniGame } from "./components/MiniGame/MiniGame";
import {
AccordionIcon,
@@ -83,7 +84,8 @@ function getAccordionMeta(output: CreateAgentToolOutput) {
) {
return {
icon,
title: "Creating agent, this may take a few minutes. Sit back and relax.",
title:
"Creating agent, this may take a few minutes. Play while you wait.",
expanded: true,
};
}
@@ -167,16 +169,20 @@ export function CreateAgentTool({ part }: Props) {
{isAgentSavedOutput(output) && (
<div className="rounded-xl border border-border/60 bg-card p-4 shadow-sm">
<div className="flex items-baseline gap-2">
<CheckFatIcon
size={18}
weight="regular"
className="relative top-1 text-green-500"
<Image
src={sparklesImg}
alt="sparkles"
width={24}
height={24}
className="relative top-1"
/>
<Text
variant="body-medium"
className="text-blacks mb-2 text-[16px]"
className="mb-2 text-[16px] text-black"
>
{output.message}
Agent{" "}
<span className="text-violet-600">{output.agent_name}</span>{" "}
has been saved to your library!
</Text>
</div>
<div className="mt-3 flex flex-wrap gap-4">

View File

@@ -2,20 +2,65 @@
import { useMiniGame } from "./useMiniGame";
function Key({ children }: { children: React.ReactNode }) {
return <strong>[{children}]</strong>;
}
export function MiniGame() {
const { canvasRef } = useMiniGame();
const { canvasRef, activeMode, showOverlay, score, highScore, onContinue } =
useMiniGame();
const isRunActive =
activeMode === "run" || activeMode === "idle" || activeMode === "over";
let overlayText: string | undefined;
let buttonLabel = "Continue";
if (activeMode === "idle") {
buttonLabel = "Start";
} else if (activeMode === "boss-intro") {
overlayText = "Face the bandit!";
} else if (activeMode === "boss-defeated") {
overlayText = "Great job, keep on going";
} else if (activeMode === "over") {
overlayText = `Score: ${score} / Record: ${highScore}`;
buttonLabel = "Retry";
}
return (
<div
className="w-full overflow-hidden rounded-md bg-background text-foreground"
style={{ border: "1px solid #d17fff" }}
>
<canvas
ref={canvasRef}
tabIndex={0}
className="block w-full outline-none"
style={{ imageRendering: "pixelated" }}
/>
<div className="flex flex-col gap-2">
<p className="text-sm font-medium text-purple-500">
{isRunActive ? (
<>
Run mode: <Key>Space</Key> to jump
</>
) : (
<>
Duel mode: <Key></Key> to move · <Key>Z</Key> to attack ·{" "}
<Key>X</Key> to block · <Key>Space</Key> to jump
</>
)}
</p>
<div className="relative w-full overflow-hidden rounded-md border border-accent bg-background text-foreground">
<canvas
ref={canvasRef}
tabIndex={0}
className="block w-full outline-none"
/>
{showOverlay && (
<div className="absolute inset-0 flex flex-col items-center justify-center gap-3 bg-black/40">
{overlayText && (
<p className="text-lg font-bold text-white">{overlayText}</p>
)}
<button
type="button"
onClick={onContinue}
className="rounded-md bg-white px-4 py-2 text-sm font-semibold text-zinc-800 shadow-md transition-colors hover:bg-zinc-100"
>
{buttonLabel}
</button>
</div>
)}
</div>
</div>
);
}

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@@ -136,7 +136,7 @@ export function getAnimationText(part: {
if (isOperationPendingOutput(output)) return "Agent creation in progress";
if (isOperationInProgressOutput(output))
return "Agent creation already in progress";
if (isAgentSavedOutput(output)) return `Saved "${output.agent_name}"`;
if (isAgentSavedOutput(output)) return `Saved ${output.agent_name}`;
if (isAgentPreviewOutput(output)) return `Preview "${output.agent_name}"`;
if (isClarificationNeededOutput(output)) return "Needs clarification";
return "Error creating agent";

View File

@@ -5,7 +5,6 @@ import type { ToolUIPart } from "ai";
import { useCopilotChatActions } from "../../components/CopilotChatActionsProvider/useCopilotChatActions";
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
import { ProgressBar } from "../../components/ProgressBar/ProgressBar";
import {
ContentCardDescription,
ContentCodeBlock,
@@ -15,7 +14,7 @@ import {
ContentMessage,
} from "../../components/ToolAccordion/AccordionContent";
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
import { useAsymptoticProgress } from "../../hooks/useAsymptoticProgress";
import { MiniGame } from "../CreateAgent/components/MiniGame/MiniGame";
import {
ClarificationQuestionsCard,
ClarifyingQuestion,
@@ -54,6 +53,7 @@ function getAccordionMeta(output: EditAgentToolOutput): {
title: string;
titleClassName?: string;
description?: string;
expanded?: boolean;
} {
const icon = <AccordionIcon />;
@@ -80,7 +80,11 @@ function getAccordionMeta(output: EditAgentToolOutput): {
isOperationPendingOutput(output) ||
isOperationInProgressOutput(output)
) {
return { icon: <OrbitLoader size={32} />, title: "Editing agent" };
return {
icon: <OrbitLoader size={32} />,
title: "Editing agent, this may take a few minutes. Play while you wait.",
expanded: true,
};
}
return {
icon: (
@@ -105,7 +109,6 @@ export function EditAgentTool({ part }: Props) {
(isOperationStartedOutput(output) ||
isOperationPendingOutput(output) ||
isOperationInProgressOutput(output));
const progress = useAsymptoticProgress(isOperating);
const hasExpandableContent =
part.state === "output-available" &&
!!output &&
@@ -149,9 +152,9 @@ export function EditAgentTool({ part }: Props) {
<ToolAccordion {...getAccordionMeta(output)}>
{isOperating && (
<ContentGrid>
<ProgressBar value={progress} className="max-w-[280px]" />
<MiniGame />
<ContentHint>
This could take a few minutes, grab a coffee
This could take a few minutes play while you wait!
</ContentHint>
</ContentGrid>
)}

View File

@@ -2,8 +2,14 @@
import type { ToolUIPart } from "ai";
import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
import { ContentMessage } from "../../components/ToolAccordion/AccordionContent";
import {
ContentGrid,
ContentHint,
ContentMessage,
} from "../../components/ToolAccordion/AccordionContent";
import { MiniGame } from "../CreateAgent/components/MiniGame/MiniGame";
import {
getAccordionMeta,
getAnimationText,
@@ -60,6 +66,21 @@ export function RunAgentTool({ part }: Props) {
/>
</div>
{isStreaming && !output && (
<ToolAccordion
icon={<OrbitLoader size={32} />}
title="Running agent, this may take a few minutes. Play while you wait."
expanded={true}
>
<ContentGrid>
<MiniGame />
<ContentHint>
This could take a few minutes play while you wait!
</ContentHint>
</ContentGrid>
</ToolAccordion>
)}
{hasExpandableContent && output && (
<ToolAccordion {...getAccordionMeta(output)}>
{isRunAgentExecutionStartedOutput(output) && (

View File

@@ -1,10 +1,15 @@
import { useGetV2ListSessions } from "@/app/api/__generated__/endpoints/chat/chat";
import {
getGetV2ListSessionsQueryKey,
useDeleteV2DeleteSession,
useGetV2ListSessions,
} from "@/app/api/__generated__/endpoints/chat/chat";
import { toast } from "@/components/molecules/Toast/use-toast";
import { useBreakpoint } from "@/lib/hooks/useBreakpoint";
import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
import { useChat } from "@ai-sdk/react";
import { useQueryClient } from "@tanstack/react-query";
import { DefaultChatTransport } from "ai";
import { useEffect, useMemo, useRef, useState } from "react";
import { useCallback, useEffect, useMemo, useRef, useState } from "react";
import { useChatSession } from "./useChatSession";
import { useLongRunningToolPolling } from "./hooks/useLongRunningToolPolling";
@@ -14,6 +19,11 @@ export function useCopilotPage() {
const { isUserLoading, isLoggedIn } = useSupabase();
const [isDrawerOpen, setIsDrawerOpen] = useState(false);
const [pendingMessage, setPendingMessage] = useState<string | null>(null);
const [sessionToDelete, setSessionToDelete] = useState<{
id: string;
title: string | null | undefined;
} | null>(null);
const queryClient = useQueryClient();
const {
sessionId,
@@ -24,6 +34,30 @@ export function useCopilotPage() {
isCreatingSession,
} = useChatSession();
const { mutate: deleteSessionMutation, isPending: isDeleting } =
useDeleteV2DeleteSession({
mutation: {
onSuccess: () => {
queryClient.invalidateQueries({
queryKey: getGetV2ListSessionsQueryKey(),
});
if (sessionToDelete?.id === sessionId) {
setSessionId(null);
}
setSessionToDelete(null);
},
onError: (error) => {
toast({
title: "Failed to delete chat",
description:
error instanceof Error ? error.message : "An error occurred",
variant: "destructive",
});
setSessionToDelete(null);
},
},
});
const breakpoint = useBreakpoint();
const isMobile =
breakpoint === "base" || breakpoint === "sm" || breakpoint === "md";
@@ -143,6 +177,24 @@ export function useCopilotPage() {
if (isMobile) setIsDrawerOpen(false);
}
const handleDeleteClick = useCallback(
(id: string, title: string | null | undefined) => {
if (isDeleting) return;
setSessionToDelete({ id, title });
},
[isDeleting],
);
const handleConfirmDelete = useCallback(() => {
if (sessionToDelete) {
deleteSessionMutation({ sessionId: sessionToDelete.id });
}
}, [sessionToDelete, deleteSessionMutation]);
const handleCancelDelete = useCallback(() => {
setSessionToDelete(null);
}, []);
return {
sessionId,
messages,
@@ -165,5 +217,11 @@ export function useCopilotPage() {
handleDrawerOpenChange,
handleSelectSession,
handleNewChat,
// Delete functionality
sessionToDelete,
isDeleting,
handleDeleteClick,
handleConfirmDelete,
handleCancelDelete,
};
}

View File

@@ -1,631 +0,0 @@
"use client";
import { useParams, useRouter } from "next/navigation";
import { useQueryState } from "nuqs";
import React, {
useCallback,
useEffect,
useMemo,
useRef,
useState,
} from "react";
import {
Graph,
GraphExecution,
GraphExecutionID,
GraphExecutionMeta,
GraphID,
LibraryAgent,
LibraryAgentID,
LibraryAgentPreset,
LibraryAgentPresetID,
Schedule,
ScheduleID,
} from "@/lib/autogpt-server-api";
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
import { exportAsJSONFile } from "@/lib/utils";
import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
import type { ButtonAction } from "@/components/__legacy__/types";
import { Button } from "@/components/__legacy__/ui/button";
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/__legacy__/ui/dialog";
import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
import {
useToast,
useToastOnFail,
} from "@/components/molecules/Toast/use-toast";
import { AgentRunDetailsView } from "./components/agent-run-details-view";
import { AgentRunDraftView } from "./components/agent-run-draft-view";
import { CreatePresetDialog } from "./components/create-preset-dialog";
import { useAgentRunsInfinite } from "./use-agent-runs";
import { AgentRunsSelectorList } from "./components/agent-runs-selector-list";
import { AgentScheduleDetailsView } from "./components/agent-schedule-details-view";
export function OldAgentLibraryView() {
const { id: agentID }: { id: LibraryAgentID } = useParams();
const [executionId, setExecutionId] = useQueryState("executionId");
const toastOnFail = useToastOnFail();
const { toast } = useToast();
const router = useRouter();
const api = useBackendAPI();
// ============================ STATE =============================
const [graph, setGraph] = useState<Graph | null>(null); // Graph version corresponding to LibraryAgent
const [agent, setAgent] = useState<LibraryAgent | null>(null);
const agentRunsQuery = useAgentRunsInfinite(graph?.id); // only runs once graph.id is known
const agentRuns = agentRunsQuery.agentRuns;
const [agentPresets, setAgentPresets] = useState<LibraryAgentPreset[]>([]);
const [schedules, setSchedules] = useState<Schedule[]>([]);
const [selectedView, selectView] = useState<
| { type: "run"; id?: GraphExecutionID }
| { type: "preset"; id: LibraryAgentPresetID }
| { type: "schedule"; id: ScheduleID }
>({ type: "run" });
const [selectedRun, setSelectedRun] = useState<
GraphExecution | GraphExecutionMeta | null
>(null);
const selectedSchedule =
selectedView.type == "schedule"
? schedules.find((s) => s.id == selectedView.id)
: null;
const [isFirstLoad, setIsFirstLoad] = useState<boolean>(true);
const [agentDeleteDialogOpen, setAgentDeleteDialogOpen] =
useState<boolean>(false);
const [confirmingDeleteAgentRun, setConfirmingDeleteAgentRun] =
useState<GraphExecutionMeta | null>(null);
const [confirmingDeleteAgentPreset, setConfirmingDeleteAgentPreset] =
useState<LibraryAgentPresetID | null>(null);
const [copyAgentDialogOpen, setCopyAgentDialogOpen] = useState(false);
const [creatingPresetFromExecutionID, setCreatingPresetFromExecutionID] =
useState<GraphExecutionID | null>(null);
// Set page title with agent name
useEffect(() => {
if (agent) {
document.title = `${agent.name} - Library - AutoGPT Platform`;
}
}, [agent]);
const openRunDraftView = useCallback(() => {
selectView({ type: "run" });
}, []);
const selectRun = useCallback((id: GraphExecutionID) => {
selectView({ type: "run", id });
}, []);
const selectPreset = useCallback((id: LibraryAgentPresetID) => {
selectView({ type: "preset", id });
}, []);
const selectSchedule = useCallback((id: ScheduleID) => {
selectView({ type: "schedule", id });
}, []);
const graphVersions = useRef<Record<number, Graph>>({});
const loadingGraphVersions = useRef<Record<number, Promise<Graph>>>({});
const getGraphVersion = useCallback(
async (graphID: GraphID, version: number) => {
if (version in graphVersions.current)
return graphVersions.current[version];
if (version in loadingGraphVersions.current)
return loadingGraphVersions.current[version];
const pendingGraph = api.getGraph(graphID, version).then((graph) => {
graphVersions.current[version] = graph;
return graph;
});
// Cache promise as well to avoid duplicate requests
loadingGraphVersions.current[version] = pendingGraph;
return pendingGraph;
},
[api, graphVersions, loadingGraphVersions],
);
const lastRefresh = useRef<number>(0);
const refreshPageData = useCallback(() => {
if (Date.now() - lastRefresh.current < 2e3) return; // 2 second debounce
lastRefresh.current = Date.now();
api.getLibraryAgent(agentID).then((agent) => {
setAgent(agent);
getGraphVersion(agent.graph_id, agent.graph_version).then(
(_graph) =>
(graph && graph.version == _graph.version) || setGraph(_graph),
);
Promise.all([
agentRunsQuery.refetchRuns(),
api.listLibraryAgentPresets({
graph_id: agent.graph_id,
page_size: 100,
}),
]).then(([runsQueryResult, presets]) => {
setAgentPresets(presets.presets);
const newestAgentRunsResponse = runsQueryResult.data?.pages[0];
if (!newestAgentRunsResponse || newestAgentRunsResponse.status != 200)
return;
const newestAgentRuns = newestAgentRunsResponse.data.executions;
// Preload the corresponding graph versions for the latest 10 runs
new Set(
newestAgentRuns.slice(0, 10).map((run) => run.graph_version),
).forEach((version) => getGraphVersion(agent.graph_id, version));
});
});
}, [api, agentID, getGraphVersion, graph]);
// On first load: select the latest run
useEffect(() => {
// Only for first load or first execution
if (selectedView.id || !isFirstLoad) return;
if (agentRuns.length == 0 && agentPresets.length == 0) return;
setIsFirstLoad(false);
if (agentRuns.length > 0) {
// select latest run
const latestRun = agentRuns.reduce((latest, current) => {
if (!latest.started_at && !current.started_at) return latest;
if (!latest.started_at) return current;
if (!current.started_at) return latest;
return latest.started_at > current.started_at ? latest : current;
}, agentRuns[0]);
selectRun(latestRun.id as GraphExecutionID);
} else {
// select top preset
const latestPreset = agentPresets.toSorted(
(a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
)[0];
selectPreset(latestPreset.id);
}
}, [
isFirstLoad,
selectedView.id,
agentRuns,
agentPresets,
selectRun,
selectPreset,
]);
useEffect(() => {
if (executionId) {
selectRun(executionId as GraphExecutionID);
setExecutionId(null);
}
}, [executionId, selectRun, setExecutionId]);
// Initial load
useEffect(() => {
refreshPageData();
// Show a toast when the WebSocket connection disconnects
let connectionToast: ReturnType<typeof toast> | null = null;
const cancelDisconnectHandler = api.onWebSocketDisconnect(() => {
connectionToast ??= toast({
title: "Connection to server was lost",
variant: "destructive",
description: (
<div className="flex items-center">
Trying to reconnect...
<LoadingSpinner className="ml-1.5 size-3.5" />
</div>
),
duration: Infinity,
dismissable: true,
});
});
const cancelConnectHandler = api.onWebSocketConnect(() => {
if (connectionToast)
connectionToast.update({
id: connectionToast.id,
title: "✅ Connection re-established",
variant: "default",
description: (
<div className="flex items-center">
Refreshing data...
<LoadingSpinner className="ml-1.5 size-3.5" />
</div>
),
duration: 2000,
dismissable: true,
});
connectionToast = null;
});
return () => {
cancelDisconnectHandler();
cancelConnectHandler();
};
}, []);
// Subscribe to WebSocket updates for agent runs
useEffect(() => {
if (!agent?.graph_id) return;
return api.onWebSocketConnect(() => {
refreshPageData(); // Sync up on (re)connect
// Subscribe to all executions for this agent
api.subscribeToGraphExecutions(agent.graph_id);
});
}, [api, agent?.graph_id, refreshPageData]);
// Handle execution updates
useEffect(() => {
const detachExecUpdateHandler = api.onWebSocketMessage(
"graph_execution_event",
(data) => {
if (data.graph_id != agent?.graph_id) return;
agentRunsQuery.upsertAgentRun(data);
if (data.id === selectedView.id) {
// Update currently viewed run
setSelectedRun(data);
}
},
);
return () => {
detachExecUpdateHandler();
};
}, [api, agent?.graph_id, selectedView.id]);
// Pre-load selectedRun based on selectedView
useEffect(() => {
if (selectedView.type != "run" || !selectedView.id) return;
const newSelectedRun = agentRuns.find((run) => run.id == selectedView.id);
if (selectedView.id !== selectedRun?.id) {
// Pull partial data from "cache" while waiting for the rest to load
setSelectedRun((newSelectedRun as GraphExecutionMeta) ?? null);
}
}, [api, selectedView, agentRuns, selectedRun?.id]);
// Load selectedRun based on selectedView; refresh on agent refresh
useEffect(() => {
if (selectedView.type != "run" || !selectedView.id || !agent) return;
api
.getGraphExecutionInfo(agent.graph_id, selectedView.id)
.then(async (run) => {
// Ensure corresponding graph version is available before rendering I/O
await getGraphVersion(run.graph_id, run.graph_version);
setSelectedRun(run);
});
}, [api, selectedView, agent, getGraphVersion]);
const fetchSchedules = useCallback(async () => {
if (!agent) return;
setSchedules(await api.listGraphExecutionSchedules(agent.graph_id));
}, [api, agent?.graph_id]);
useEffect(() => {
fetchSchedules();
}, [fetchSchedules]);
// =========================== ACTIONS ============================
const deleteRun = useCallback(
async (run: GraphExecutionMeta) => {
if (run.status == "RUNNING" || run.status == "QUEUED") {
await api.stopGraphExecution(run.graph_id, run.id);
}
await api.deleteGraphExecution(run.id);
setConfirmingDeleteAgentRun(null);
if (selectedView.type == "run" && selectedView.id == run.id) {
openRunDraftView();
}
agentRunsQuery.removeAgentRun(run.id);
},
[api, selectedView, openRunDraftView],
);
const deletePreset = useCallback(
async (presetID: LibraryAgentPresetID) => {
await api.deleteLibraryAgentPreset(presetID);
setConfirmingDeleteAgentPreset(null);
if (selectedView.type == "preset" && selectedView.id == presetID) {
openRunDraftView();
}
setAgentPresets((presets) => presets.filter((p) => p.id !== presetID));
},
[api, selectedView, openRunDraftView],
);
const deleteSchedule = useCallback(
async (scheduleID: ScheduleID) => {
const removedSchedule =
await api.deleteGraphExecutionSchedule(scheduleID);
setSchedules((schedules) => {
const newSchedules = schedules.filter(
(s) => s.id !== removedSchedule.id,
);
if (
selectedView.type == "schedule" &&
selectedView.id == removedSchedule.id
) {
if (newSchedules.length > 0) {
// Select next schedule if available
selectSchedule(newSchedules[0].id);
} else {
// Reset to draft view if current schedule was deleted
openRunDraftView();
}
}
return newSchedules;
});
openRunDraftView();
},
[schedules, api],
);
const handleCreatePresetFromRun = useCallback(
async (name: string, description: string) => {
if (!creatingPresetFromExecutionID) return;
await api
.createLibraryAgentPreset({
name,
description,
graph_execution_id: creatingPresetFromExecutionID,
})
.then((preset) => {
setAgentPresets((prev) => [...prev, preset]);
selectPreset(preset.id);
setCreatingPresetFromExecutionID(null);
})
.catch(toastOnFail("create a preset"));
},
[api, creatingPresetFromExecutionID, selectPreset, toast],
);
const downloadGraph = useCallback(
async () =>
agent &&
// Export sanitized graph from backend
api
.getGraph(agent.graph_id, agent.graph_version, true)
.then((graph) =>
exportAsJSONFile(graph, `${graph.name}_v${graph.version}.json`),
),
[api, agent],
);
const copyAgent = useCallback(async () => {
setCopyAgentDialogOpen(false);
api
.forkLibraryAgent(agentID)
.then((newAgent) => {
router.push(`/library/agents/${newAgent.id}`);
})
.catch((error) => {
console.error("Error copying agent:", error);
toast({
title: "Error copying agent",
description: `An error occurred while copying the agent: ${error.message}`,
variant: "destructive",
});
});
}, [agentID, api, router, toast]);
const agentActions: ButtonAction[] = useMemo(
() => [
{
label: "Customize agent",
href: `/build?flowID=${agent?.graph_id}&flowVersion=${agent?.graph_version}`,
disabled: !agent?.can_access_graph,
},
{ label: "Export agent to file", callback: downloadGraph },
...(!agent?.can_access_graph
? [
{
label: "Edit a copy",
callback: () => setCopyAgentDialogOpen(true),
},
]
: []),
{
label: "Delete agent",
callback: () => setAgentDeleteDialogOpen(true),
},
],
[agent, downloadGraph],
);
const runGraph =
graphVersions.current[selectedRun?.graph_version ?? 0] ?? graph;
const onCreateSchedule = useCallback(
(schedule: Schedule) => {
setSchedules((prev) => [...prev, schedule]);
selectSchedule(schedule.id);
},
[selectView],
);
const onCreatePreset = useCallback(
(preset: LibraryAgentPreset) => {
setAgentPresets((prev) => [...prev, preset]);
selectPreset(preset.id);
},
[selectPreset],
);
const onUpdatePreset = useCallback(
(updated: LibraryAgentPreset) => {
setAgentPresets((prev) =>
prev.map((p) => (p.id === updated.id ? updated : p)),
);
selectPreset(updated.id);
},
[selectPreset],
);
if (!agent || !graph) {
return <LoadingBox className="h-[90vh]" />;
}
return (
<div className="container justify-stretch p-0 pt-16 lg:flex">
{/* Sidebar w/ list of runs */}
{/* TODO: render this below header in sm and md layouts */}
<AgentRunsSelectorList
className="agpt-div w-full border-b pb-2 lg:w-auto lg:border-b-0 lg:border-r lg:pb-0"
agent={agent}
agentRunsQuery={agentRunsQuery}
agentPresets={agentPresets}
schedules={schedules}
selectedView={selectedView}
onSelectRun={selectRun}
onSelectPreset={selectPreset}
onSelectSchedule={selectSchedule}
onSelectDraftNewRun={openRunDraftView}
doDeleteRun={setConfirmingDeleteAgentRun}
doDeletePreset={setConfirmingDeleteAgentPreset}
doDeleteSchedule={deleteSchedule}
doCreatePresetFromRun={setCreatingPresetFromExecutionID}
/>
<div className="flex-1">
{/* Header */}
<div className="agpt-div w-full border-b">
<h1
data-testid="agent-title"
className="font-poppins text-3xl font-medium"
>
{
agent.name /* TODO: use dynamic/custom run title - https://github.com/Significant-Gravitas/AutoGPT/issues/9184 */
}
</h1>
</div>
{/* Run / Schedule views */}
{(selectedView.type == "run" && selectedView.id ? (
selectedRun && runGraph ? (
<AgentRunDetailsView
agent={agent}
graph={runGraph}
run={selectedRun}
agentActions={agentActions}
onRun={selectRun}
doDeleteRun={() => setConfirmingDeleteAgentRun(selectedRun)}
doCreatePresetFromRun={() =>
setCreatingPresetFromExecutionID(selectedRun.id)
}
/>
) : null
) : selectedView.type == "run" ? (
/* Draft new runs / Create new presets */
<AgentRunDraftView
graph={graph}
onRun={selectRun}
onCreateSchedule={onCreateSchedule}
onCreatePreset={onCreatePreset}
agentActions={agentActions}
recommendedScheduleCron={agent?.recommended_schedule_cron || null}
/>
) : selectedView.type == "preset" ? (
/* Edit & update presets */
<AgentRunDraftView
graph={graph}
agentPreset={
agentPresets.find((preset) => preset.id == selectedView.id)!
}
onRun={selectRun}
recommendedScheduleCron={agent?.recommended_schedule_cron || null}
onCreateSchedule={onCreateSchedule}
onUpdatePreset={onUpdatePreset}
doDeletePreset={setConfirmingDeleteAgentPreset}
agentActions={agentActions}
/>
) : selectedView.type == "schedule" ? (
selectedSchedule &&
graph && (
<AgentScheduleDetailsView
graph={graph}
schedule={selectedSchedule}
// agent={agent}
agentActions={agentActions}
onForcedRun={selectRun}
doDeleteSchedule={deleteSchedule}
/>
)
) : null) || <LoadingBox className="h-[70vh]" />}
<DeleteConfirmDialog
entityType="agent"
open={agentDeleteDialogOpen}
onOpenChange={setAgentDeleteDialogOpen}
onDoDelete={() =>
agent &&
api.deleteLibraryAgent(agent.id).then(() => router.push("/library"))
}
/>
<DeleteConfirmDialog
entityType="agent run"
open={!!confirmingDeleteAgentRun}
onOpenChange={(open) => !open && setConfirmingDeleteAgentRun(null)}
onDoDelete={() =>
confirmingDeleteAgentRun && deleteRun(confirmingDeleteAgentRun)
}
/>
<DeleteConfirmDialog
entityType={agent.has_external_trigger ? "trigger" : "agent preset"}
open={!!confirmingDeleteAgentPreset}
onOpenChange={(open) => !open && setConfirmingDeleteAgentPreset(null)}
onDoDelete={() =>
confirmingDeleteAgentPreset &&
deletePreset(confirmingDeleteAgentPreset)
}
/>
{/* Copy agent confirmation dialog */}
<Dialog
onOpenChange={setCopyAgentDialogOpen}
open={copyAgentDialogOpen}
>
<DialogContent>
<DialogHeader>
<DialogTitle>You&apos;re making an editable copy</DialogTitle>
<DialogDescription className="pt-2">
The original Marketplace agent stays the same and cannot be
edited. We&apos;ll save a new version of this agent to your
Library. From there, you can customize it however you&apos;d
like by clicking &quot;Customize agent&quot; this will open
the builder where you can see and modify the inner workings.
</DialogDescription>
</DialogHeader>
<DialogFooter className="justify-end">
<Button
type="button"
variant="outline"
onClick={() => setCopyAgentDialogOpen(false)}
>
Cancel
</Button>
<Button type="button" onClick={copyAgent}>
Continue
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
<CreatePresetDialog
open={!!creatingPresetFromExecutionID}
onOpenChange={() => setCreatingPresetFromExecutionID(null)}
onConfirm={handleCreatePresetFromRun}
/>
</div>
</div>
);
}

View File

@@ -1,445 +0,0 @@
"use client";
import { format, formatDistanceToNow, formatDistanceStrict } from "date-fns";
import React, { useCallback, useMemo, useEffect } from "react";
import {
Graph,
GraphExecution,
GraphExecutionID,
GraphExecutionMeta,
LibraryAgent,
} from "@/lib/autogpt-server-api";
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
import ActionButtonGroup from "@/components/__legacy__/action-button-group";
import type { ButtonAction } from "@/components/__legacy__/types";
import {
Card,
CardContent,
CardHeader,
CardTitle,
} from "@/components/__legacy__/ui/card";
import {
IconRefresh,
IconSquare,
IconCircleAlert,
} from "@/components/__legacy__/ui/icons";
import { Input } from "@/components/__legacy__/ui/input";
import LoadingBox from "@/components/__legacy__/ui/loading";
import {
Tooltip,
TooltipContent,
TooltipProvider,
TooltipTrigger,
} from "@/components/atoms/Tooltip/BaseTooltip";
import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
import { AgentRunStatus, agentRunStatusMap } from "./agent-run-status-chip";
import useCredits from "@/hooks/useCredits";
import { AgentRunOutputView } from "./agent-run-output-view";
import { analytics } from "@/services/analytics";
import { PendingReviewsList } from "@/components/organisms/PendingReviewsList/PendingReviewsList";
import { usePendingReviewsForExecution } from "@/hooks/usePendingReviews";
export function AgentRunDetailsView({
agent,
graph,
run,
agentActions,
onRun,
doDeleteRun,
doCreatePresetFromRun,
}: {
agent: LibraryAgent;
graph: Graph;
run: GraphExecution | GraphExecutionMeta;
agentActions: ButtonAction[];
onRun: (runID: GraphExecutionID) => void;
doDeleteRun: () => void;
doCreatePresetFromRun: () => void;
}): React.ReactNode {
const api = useBackendAPI();
const { formatCredits } = useCredits();
const runStatus: AgentRunStatus = useMemo(
() => agentRunStatusMap[run.status],
[run],
);
const {
pendingReviews,
isLoading: reviewsLoading,
refetch: refetchReviews,
} = usePendingReviewsForExecution(run.id);
const toastOnFail = useToastOnFail();
// Refetch pending reviews when execution status changes to REVIEW
useEffect(() => {
if (runStatus === "review" && run.id) {
refetchReviews();
}
}, [runStatus, run.id, refetchReviews]);
const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
if (!run) return [];
return [
{
label: "Status",
value: runStatus.charAt(0).toUpperCase() + runStatus.slice(1),
},
{
label: "Started",
value: run.started_at
? `${formatDistanceToNow(run.started_at, { addSuffix: true })}, ${format(run.started_at, "HH:mm")}`
: "—",
},
...(run.stats
? [
{
label: "Duration",
value: formatDistanceStrict(0, run.stats.duration * 1000),
},
{ label: "Steps", value: run.stats.node_exec_count },
{ label: "Cost", value: formatCredits(run.stats.cost) },
]
: []),
];
}, [run, runStatus, formatCredits]);
const agentRunInputs:
| Record<
string,
{
title?: string;
/* type: BlockIOSubType; */
value: string | number | undefined;
}
>
| undefined = useMemo(() => {
if (!run.inputs) return undefined;
// TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
// Add type info from agent input schema
return Object.fromEntries(
Object.entries(run.inputs).map(([k, v]) => [
k,
{
title: graph.input_schema.properties[k]?.title,
// type: graph.input_schema.properties[k].type, // TODO: implement typed graph inputs
value: typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
},
]),
);
}, [graph, run]);
const runAgain = useCallback(() => {
if (
!run.inputs ||
!(graph.credentials_input_schema?.required ?? []).every(
(k) => k in (run.credential_inputs ?? {}),
)
)
return;
if (run.preset_id) {
return api
.executeLibraryAgentPreset(
run.preset_id,
run.inputs!,
run.credential_inputs!,
)
.then(({ id }) => {
analytics.sendDatafastEvent("run_agent", {
name: graph.name,
id: graph.id,
});
onRun(id);
})
.catch(toastOnFail("execute agent preset"));
}
return api
.executeGraph(
graph.id,
graph.version,
run.inputs!,
run.credential_inputs!,
"library",
)
.then(({ id }) => {
analytics.sendDatafastEvent("run_agent", {
name: graph.name,
id: graph.id,
});
onRun(id);
})
.catch(toastOnFail("execute agent"));
}, [api, graph, run, onRun, toastOnFail]);
const stopRun = useCallback(
() => api.stopGraphExecution(graph.id, run.id),
[api, graph.id, run.id],
);
const agentRunOutputs:
| Record<
string,
{
title?: string;
/* type: BlockIOSubType; */
values: Array<React.ReactNode>;
}
>
| null
| undefined = useMemo(() => {
if (!("outputs" in run)) return undefined;
if (!["running", "success", "failed", "stopped"].includes(runStatus))
return null;
// Add type info from agent input schema
return Object.fromEntries(
Object.entries(run.outputs).map(([k, vv]) => [
k,
{
title: graph.output_schema.properties[k].title,
/* type: agent.output_schema.properties[k].type */
values: vv.map((v) =>
typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
),
},
]),
);
}, [graph, run, runStatus]);
const runActions: ButtonAction[] = useMemo(
() => [
...(["running", "queued"].includes(runStatus)
? ([
{
label: (
<>
<IconSquare className="mr-2 size-4" />
Stop run
</>
),
variant: "secondary",
callback: stopRun,
},
] satisfies ButtonAction[])
: []),
...(["success", "failed", "stopped"].includes(runStatus) &&
!graph.has_external_trigger &&
(graph.credentials_input_schema?.required ?? []).every(
(k) => k in (run.credential_inputs ?? {}),
)
? [
{
label: (
<>
<IconRefresh className="mr-2 size-4" />
Run again
</>
),
callback: runAgain,
dataTestId: "run-again-button",
},
]
: []),
...(agent.can_access_graph
? [
{
label: "Open run in builder",
href: `/build?flowID=${run.graph_id}&flowVersion=${run.graph_version}&flowExecutionID=${run.id}`,
},
]
: []),
{ label: "Create preset from run", callback: doCreatePresetFromRun },
{ label: "Delete run", variant: "secondary", callback: doDeleteRun },
],
[
runStatus,
runAgain,
stopRun,
doDeleteRun,
doCreatePresetFromRun,
graph.has_external_trigger,
graph.credentials_input_schema?.required,
agent.can_access_graph,
run.graph_id,
run.graph_version,
run.id,
],
);
return (
<div className="agpt-div flex gap-6">
<div className="flex flex-1 flex-col gap-4">
<Card className="agpt-box">
<CardHeader>
<CardTitle className="font-poppins text-lg">Info</CardTitle>
</CardHeader>
<CardContent>
<div className="flex justify-stretch gap-4">
{infoStats.map(({ label, value }) => (
<div key={label} className="flex-1">
<p className="text-sm font-medium text-black">{label}</p>
<p className="text-sm text-neutral-600">{value}</p>
</div>
))}
</div>
{run.status === "FAILED" && (
<div className="mt-4 rounded-md border border-red-200 bg-red-50 p-3 dark:border-red-800 dark:bg-red-900/20">
<p className="text-sm text-red-800 dark:text-red-200">
<strong>Error:</strong>{" "}
{run.stats?.error ||
"The execution failed due to an internal error. You can re-run the agent to retry."}
</p>
</div>
)}
</CardContent>
</Card>
{/* Smart Agent Execution Summary */}
{run.stats?.activity_status && (
<Card className="agpt-box">
<CardHeader>
<CardTitle className="flex items-center gap-2 font-poppins text-lg">
Task Summary
<TooltipProvider>
<Tooltip>
<TooltipTrigger asChild>
<IconCircleAlert className="size-4 cursor-help text-neutral-500 hover:text-neutral-700" />
</TooltipTrigger>
<TooltipContent>
<p className="max-w-xs">
This AI-generated summary describes how the agent
handled your task. Its an experimental feature and may
occasionally be inaccurate.
</p>
</TooltipContent>
</Tooltip>
</TooltipProvider>
</CardTitle>
</CardHeader>
<CardContent className="space-y-4">
<p className="text-sm leading-relaxed text-neutral-700">
{run.stats.activity_status}
</p>
{/* Correctness Score */}
{typeof run.stats.correctness_score === "number" && (
<div className="flex items-center gap-3 rounded-lg bg-neutral-50 p-3">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-neutral-600">
Success Estimate:
</span>
<div className="flex items-center gap-2">
<div className="relative h-2 w-16 overflow-hidden rounded-full bg-neutral-200">
<div
className={`h-full transition-all ${
run.stats.correctness_score >= 0.8
? "bg-green-500"
: run.stats.correctness_score >= 0.6
? "bg-yellow-500"
: run.stats.correctness_score >= 0.4
? "bg-orange-500"
: "bg-red-500"
}`}
style={{
width: `${Math.round(run.stats.correctness_score * 100)}%`,
}}
/>
</div>
<span className="text-sm font-medium">
{Math.round(run.stats.correctness_score * 100)}%
</span>
</div>
</div>
<TooltipProvider>
<Tooltip>
<TooltipTrigger asChild>
<IconCircleAlert className="size-4 cursor-help text-neutral-400 hover:text-neutral-600" />
</TooltipTrigger>
<TooltipContent>
<p className="max-w-xs">
AI-generated estimate of how well this execution
achieved its intended purpose. This score indicates
{run.stats.correctness_score >= 0.8
? " the agent was highly successful."
: run.stats.correctness_score >= 0.6
? " the agent was mostly successful with minor issues."
: run.stats.correctness_score >= 0.4
? " the agent was partially successful with some gaps."
: " the agent had limited success with significant issues."}
</p>
</TooltipContent>
</Tooltip>
</TooltipProvider>
</div>
)}
</CardContent>
</Card>
)}
{agentRunOutputs !== null && (
<AgentRunOutputView agentRunOutputs={agentRunOutputs} />
)}
{/* Pending Reviews Section */}
{runStatus === "review" && (
<Card className="agpt-box">
<CardHeader>
<CardTitle className="font-poppins text-lg">
Pending Reviews ({pendingReviews.length})
</CardTitle>
</CardHeader>
<CardContent>
{reviewsLoading ? (
<LoadingBox spinnerSize={12} className="h-24" />
) : pendingReviews.length > 0 ? (
<PendingReviewsList
reviews={pendingReviews}
onReviewComplete={refetchReviews}
emptyMessage="No pending reviews for this execution"
/>
) : (
<div className="py-4 text-neutral-600">
No pending reviews for this execution
</div>
)}
</CardContent>
</Card>
)}
<Card className="agpt-box">
<CardHeader>
<CardTitle className="font-poppins text-lg">Input</CardTitle>
</CardHeader>
<CardContent className="flex flex-col gap-4">
{agentRunInputs !== undefined ? (
Object.entries(agentRunInputs).map(([key, { title, value }]) => (
<div key={key} className="flex flex-col gap-1.5">
<label className="text-sm font-medium">{title || key}</label>
<Input value={value} className="rounded-full" disabled />
</div>
))
) : (
<LoadingBox spinnerSize={12} className="h-24" />
)}
</CardContent>
</Card>
</div>
{/* Run / Agent Actions */}
<aside className="w-48 xl:w-56">
<div className="flex flex-col gap-8">
<ActionButtonGroup title="Run actions" actions={runActions} />
<ActionButtonGroup title="Agent actions" actions={agentActions} />
</div>
</aside>
</div>
);
}

View File

@@ -1,178 +0,0 @@
"use client";
import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
import React, { useMemo } from "react";
import {
Card,
CardContent,
CardHeader,
CardTitle,
} from "@/components/__legacy__/ui/card";
import LoadingBox from "@/components/__legacy__/ui/loading";
import type { OutputMetadata } from "../../../../../../../../components/contextual/OutputRenderers";
import {
globalRegistry,
OutputActions,
OutputItem,
} from "../../../../../../../../components/contextual/OutputRenderers";
export function AgentRunOutputView({
agentRunOutputs,
}: {
agentRunOutputs:
| Record<
string,
{
title?: string;
/* type: BlockIOSubType; */
values: Array<React.ReactNode>;
}
>
| undefined;
}) {
const enableEnhancedOutputHandling = useGetFlag(
Flag.ENABLE_ENHANCED_OUTPUT_HANDLING,
);
// Prepare items for the renderer system
const outputItems = useMemo(() => {
if (!agentRunOutputs) return [];
const items: Array<{
key: string;
label: string;
value: unknown;
metadata?: OutputMetadata;
renderer: any;
}> = [];
Object.entries(agentRunOutputs).forEach(([key, { title, values }]) => {
values.forEach((value, index) => {
// Enhanced metadata extraction
const metadata: OutputMetadata = {};
// Type guard to safely access properties
if (
typeof value === "object" &&
value !== null &&
!React.isValidElement(value)
) {
const objValue = value as any;
if (objValue.type) metadata.type = objValue.type;
if (objValue.mimeType) metadata.mimeType = objValue.mimeType;
if (objValue.filename) metadata.filename = objValue.filename;
}
const renderer = globalRegistry.getRenderer(value, metadata);
if (renderer) {
items.push({
key: `${key}-${index}`,
label: index === 0 ? title || key : "",
value,
metadata,
renderer,
});
} else {
const textRenderer = globalRegistry
.getAllRenderers()
.find((r) => r.name === "TextRenderer");
if (textRenderer) {
items.push({
key: `${key}-${index}`,
label: index === 0 ? title || key : "",
value: JSON.stringify(value, null, 2),
metadata,
renderer: textRenderer,
});
}
}
});
});
return items;
}, [agentRunOutputs]);
return (
<>
{enableEnhancedOutputHandling ? (
<Card className="agpt-box" style={{ maxWidth: "950px" }}>
<CardHeader>
<div className="flex items-center justify-between">
<CardTitle className="font-poppins text-lg">Output</CardTitle>
{outputItems.length > 0 && (
<OutputActions
items={outputItems.map((item) => ({
value: item.value,
metadata: item.metadata,
renderer: item.renderer,
}))}
/>
)}
</div>
</CardHeader>
<CardContent
className="flex flex-col gap-4"
style={{ maxWidth: "660px" }}
>
{agentRunOutputs !== undefined ? (
outputItems.length > 0 ? (
outputItems.map((item) => (
<OutputItem
key={item.key}
value={item.value}
metadata={item.metadata}
renderer={item.renderer}
label={item.label}
/>
))
) : (
<p className="text-sm text-muted-foreground">
No outputs to display
</p>
)
) : (
<LoadingBox spinnerSize={12} className="h-24" />
)}
</CardContent>
</Card>
) : (
<Card className="agpt-box" style={{ maxWidth: "950px" }}>
<CardHeader>
<CardTitle className="font-poppins text-lg">Output</CardTitle>
</CardHeader>
<CardContent
className="flex flex-col gap-4"
style={{ maxWidth: "660px" }}
>
{agentRunOutputs !== undefined ? (
Object.entries(agentRunOutputs).map(
([key, { title, values }]) => (
<div key={key} className="flex flex-col gap-1.5">
<label className="text-sm font-medium">
{title || key}
</label>
{values.map((value, i) => (
<p
className="resize-none overflow-x-auto whitespace-pre-wrap break-words border-none text-sm text-neutral-700 disabled:cursor-not-allowed"
key={i}
>
{value}
</p>
))}
{/* TODO: pretty type-dependent rendering */}
</div>
),
)
) : (
<LoadingBox spinnerSize={12} className="h-24" />
)}
</CardContent>
</Card>
)}
</>
);
}

View File

@@ -1,68 +0,0 @@
import React from "react";
import { Badge } from "@/components/__legacy__/ui/badge";
import { GraphExecutionMeta } from "@/lib/autogpt-server-api/types";
export type AgentRunStatus =
| "success"
| "failed"
| "queued"
| "running"
| "stopped"
| "scheduled"
| "draft"
| "review";
export const agentRunStatusMap: Record<
GraphExecutionMeta["status"],
AgentRunStatus
> = {
INCOMPLETE: "draft",
COMPLETED: "success",
FAILED: "failed",
QUEUED: "queued",
RUNNING: "running",
TERMINATED: "stopped",
REVIEW: "review",
};
const statusData: Record<
AgentRunStatus,
{ label: string; variant: keyof typeof statusStyles }
> = {
success: { label: "Success", variant: "success" },
running: { label: "Running", variant: "info" },
failed: { label: "Failed", variant: "destructive" },
queued: { label: "Queued", variant: "warning" },
draft: { label: "Draft", variant: "secondary" },
stopped: { label: "Stopped", variant: "secondary" },
scheduled: { label: "Scheduled", variant: "secondary" },
review: { label: "In Review", variant: "warning" },
};
const statusStyles = {
success:
"bg-green-100 text-green-800 hover:bg-green-100 hover:text-green-800",
destructive: "bg-red-100 text-red-800 hover:bg-red-100 hover:text-red-800",
warning:
"bg-yellow-100 text-yellow-800 hover:bg-yellow-100 hover:text-yellow-800",
info: "bg-blue-100 text-blue-800 hover:bg-blue-100 hover:text-blue-800",
secondary:
"bg-slate-100 text-slate-800 hover:bg-slate-100 hover:text-slate-800",
};
export function AgentRunStatusChip({
status,
}: {
status: AgentRunStatus;
}): React.ReactElement {
return (
<Badge
variant="secondary"
className={`text-xs font-medium ${statusStyles[statusData[status]?.variant]} rounded-[45px] px-[9px] py-[3px]`}
>
{statusData[status]?.label}
</Badge>
);
}

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@@ -1,130 +0,0 @@
import React from "react";
import { formatDistanceToNow, isPast } from "date-fns";
import { cn } from "@/lib/utils";
import { Link2Icon, Link2OffIcon, MoreVertical } from "lucide-react";
import { Card, CardContent } from "@/components/__legacy__/ui/card";
import { Button } from "@/components/__legacy__/ui/button";
import {
DropdownMenu,
DropdownMenuContent,
DropdownMenuItem,
DropdownMenuTrigger,
} from "@/components/__legacy__/ui/dropdown-menu";
import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
import { AgentRunStatus, AgentRunStatusChip } from "./agent-run-status-chip";
import { PushPinSimpleIcon } from "@phosphor-icons/react";
export type AgentRunSummaryProps = (
| {
type: "run";
status: AgentRunStatus;
}
| {
type: "preset";
status?: undefined;
}
| {
type: "preset.triggered";
status: AgentStatus;
}
| {
type: "schedule";
status: "scheduled";
}
) & {
title: string;
timestamp?: number | Date;
selected?: boolean;
onClick?: () => void;
// onRename: () => void;
onDelete: () => void;
onPinAsPreset?: () => void;
className?: string;
};
export function AgentRunSummaryCard({
type,
status,
title,
timestamp,
selected = false,
onClick,
// onRename,
onDelete,
onPinAsPreset,
className,
}: AgentRunSummaryProps): React.ReactElement {
return (
<Card
className={cn(
"agpt-rounded-card cursor-pointer border-zinc-300",
selected ? "agpt-card-selected" : "",
className,
)}
onClick={onClick}
>
<CardContent className="relative p-2.5 lg:p-4">
{(type == "run" || type == "schedule") && (
<AgentRunStatusChip status={status} />
)}
{type == "preset" && (
<div className="flex items-center text-sm font-medium text-neutral-700">
<PushPinSimpleIcon className="mr-1 size-4 text-foreground" /> Preset
</div>
)}
{type == "preset.triggered" && (
<div className="flex items-center justify-between">
<AgentStatusChip status={status} />
<div className="flex items-center text-sm font-medium text-neutral-700">
{status == "inactive" ? (
<Link2OffIcon className="mr-1 size-4 text-foreground" />
) : (
<Link2Icon className="mr-1 size-4 text-foreground" />
)}{" "}
Trigger
</div>
</div>
)}
<div className="mt-5 flex items-center justify-between">
<h3 className="truncate pr-2 text-base font-medium text-neutral-900">
{title}
</h3>
<DropdownMenu>
<DropdownMenuTrigger asChild>
<Button variant="ghost" className="h-5 w-5 p-0">
<MoreVertical className="h-5 w-5" />
</Button>
</DropdownMenuTrigger>
<DropdownMenuContent>
{onPinAsPreset && (
<DropdownMenuItem onClick={onPinAsPreset}>
Pin as a preset
</DropdownMenuItem>
)}
{/* <DropdownMenuItem onClick={onRename}>Rename</DropdownMenuItem> */}
<DropdownMenuItem onClick={onDelete}>Delete</DropdownMenuItem>
</DropdownMenuContent>
</DropdownMenu>
</div>
{timestamp && (
<p
className="mt-1 text-sm font-normal text-neutral-500"
title={new Date(timestamp).toString()}
>
{isPast(timestamp) ? "Ran" : "Runs in"}{" "}
{formatDistanceToNow(timestamp, { addSuffix: true })}
</p>
)}
</CardContent>
</Card>
);
}

View File

@@ -1,237 +0,0 @@
"use client";
import { Plus } from "lucide-react";
import React, { useEffect, useState } from "react";
import {
GraphExecutionID,
GraphExecutionMeta,
LibraryAgent,
LibraryAgentPreset,
LibraryAgentPresetID,
Schedule,
ScheduleID,
} from "@/lib/autogpt-server-api";
import { cn } from "@/lib/utils";
import { Badge } from "@/components/__legacy__/ui/badge";
import { Button } from "@/components/atoms/Button/Button";
import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
import { Separator } from "@/components/__legacy__/ui/separator";
import { ScrollArea } from "@/components/__legacy__/ui/scroll-area";
import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
import { AgentRunsQuery } from "../use-agent-runs";
import { agentRunStatusMap } from "./agent-run-status-chip";
import { AgentRunSummaryCard } from "./agent-run-summary-card";
interface AgentRunsSelectorListProps {
agent: LibraryAgent;
agentRunsQuery: AgentRunsQuery;
agentPresets: LibraryAgentPreset[];
schedules: Schedule[];
selectedView: { type: "run" | "preset" | "schedule"; id?: string };
allowDraftNewRun?: boolean;
onSelectRun: (id: GraphExecutionID) => void;
onSelectPreset: (preset: LibraryAgentPresetID) => void;
onSelectSchedule: (id: ScheduleID) => void;
onSelectDraftNewRun: () => void;
doDeleteRun: (id: GraphExecutionMeta) => void;
doDeletePreset: (id: LibraryAgentPresetID) => void;
doDeleteSchedule: (id: ScheduleID) => void;
doCreatePresetFromRun?: (id: GraphExecutionID) => void;
className?: string;
}
export function AgentRunsSelectorList({
agent,
agentRunsQuery: {
agentRuns,
agentRunCount,
agentRunsLoading,
hasMoreRuns,
fetchMoreRuns,
isFetchingMoreRuns,
},
agentPresets,
schedules,
selectedView,
allowDraftNewRun = true,
onSelectRun,
onSelectPreset,
onSelectSchedule,
onSelectDraftNewRun,
doDeleteRun,
doDeletePreset,
doDeleteSchedule,
doCreatePresetFromRun,
className,
}: AgentRunsSelectorListProps): React.ReactElement {
const [activeListTab, setActiveListTab] = useState<"runs" | "scheduled">(
"runs",
);
useEffect(() => {
if (selectedView.type === "schedule") {
setActiveListTab("scheduled");
} else {
setActiveListTab("runs");
}
}, [selectedView]);
const listItemClasses = "h-28 w-72 lg:w-full lg:h-32";
return (
<aside className={cn("flex flex-col gap-4", className)}>
{allowDraftNewRun ? (
<Button
className={"mb-4 hidden lg:flex"}
onClick={onSelectDraftNewRun}
leftIcon={<Plus className="h-6 w-6" />}
>
New {agent.has_external_trigger ? "trigger" : "run"}
</Button>
) : null}
<div className="flex gap-2">
<Badge
variant={activeListTab === "runs" ? "secondary" : "outline"}
className="cursor-pointer gap-2 rounded-full text-base"
onClick={() => setActiveListTab("runs")}
>
<span>Runs</span>
<span className="text-neutral-600">
{agentRunCount ?? <LoadingSpinner className="size-4" />}
</span>
</Badge>
<Badge
variant={activeListTab === "scheduled" ? "secondary" : "outline"}
className="cursor-pointer gap-2 rounded-full text-base"
onClick={() => setActiveListTab("scheduled")}
>
<span>Scheduled</span>
<span className="text-neutral-600">{schedules.length}</span>
</Badge>
</div>
{/* Runs / Schedules list */}
{agentRunsLoading && activeListTab === "runs" ? (
<LoadingBox className="h-28 w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80" />
) : (
<ScrollArea
className="w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80"
orientation={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
>
<InfiniteScroll
direction={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
hasNextPage={hasMoreRuns}
fetchNextPage={fetchMoreRuns}
isFetchingNextPage={isFetchingMoreRuns}
>
<div className="flex items-center gap-2 lg:flex-col">
{/* New Run button - only in small layouts */}
{allowDraftNewRun && (
<Button
size="large"
className={
"flex h-12 w-40 items-center gap-2 py-6 lg:hidden " +
(selectedView.type == "run" && !selectedView.id
? "agpt-card-selected text-accent"
: "")
}
onClick={onSelectDraftNewRun}
leftIcon={<Plus className="h-6 w-6" />}
>
New {agent.has_external_trigger ? "trigger" : "run"}
</Button>
)}
{activeListTab === "runs" ? (
<>
{agentPresets
.filter((preset) => preset.webhook) // Triggers
.toSorted(
(a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
)
.map((preset) => (
<AgentRunSummaryCard
className={cn(listItemClasses, "lg:h-auto")}
key={preset.id}
type="preset.triggered"
status={preset.is_active ? "active" : "inactive"}
title={preset.name}
// timestamp={preset.last_run_time} // TODO: implement this
selected={selectedView.id === preset.id}
onClick={() => onSelectPreset(preset.id)}
onDelete={() => doDeletePreset(preset.id)}
/>
))}
{agentPresets
.filter((preset) => !preset.webhook) // Presets
.toSorted(
(a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
)
.map((preset) => (
<AgentRunSummaryCard
className={cn(listItemClasses, "lg:h-auto")}
key={preset.id}
type="preset"
title={preset.name}
// timestamp={preset.last_run_time} // TODO: implement this
selected={selectedView.id === preset.id}
onClick={() => onSelectPreset(preset.id)}
onDelete={() => doDeletePreset(preset.id)}
/>
))}
{agentPresets.length > 0 && <Separator className="my-1" />}
{agentRuns
.toSorted((a, b) => {
const aTime = a.started_at?.getTime() ?? 0;
const bTime = b.started_at?.getTime() ?? 0;
return bTime - aTime;
})
.map((run) => (
<AgentRunSummaryCard
className={listItemClasses}
key={run.id}
type="run"
status={agentRunStatusMap[run.status]}
title={
(run.preset_id
? agentPresets.find((p) => p.id == run.preset_id)
?.name
: null) ?? agent.name
}
timestamp={run.started_at ?? undefined}
selected={selectedView.id === run.id}
onClick={() => onSelectRun(run.id)}
onDelete={() => doDeleteRun(run as GraphExecutionMeta)}
onPinAsPreset={
doCreatePresetFromRun
? () => doCreatePresetFromRun(run.id)
: undefined
}
/>
))}
</>
) : (
schedules.map((schedule) => (
<AgentRunSummaryCard
className={listItemClasses}
key={schedule.id}
type="schedule"
status="scheduled" // TODO: implement active/inactive status for schedules
title={schedule.name}
timestamp={schedule.next_run_time}
selected={selectedView.id === schedule.id}
onClick={() => onSelectSchedule(schedule.id)}
onDelete={() => doDeleteSchedule(schedule.id)}
/>
))
)}
</div>
</InfiniteScroll>
</ScrollArea>
)}
</aside>
);
}

View File

@@ -1,180 +0,0 @@
"use client";
import React, { useCallback, useMemo } from "react";
import {
Graph,
GraphExecutionID,
Schedule,
ScheduleID,
} from "@/lib/autogpt-server-api";
import { useBackendAPI } from "@/lib/autogpt-server-api/context";
import ActionButtonGroup from "@/components/__legacy__/action-button-group";
import type { ButtonAction } from "@/components/__legacy__/types";
import {
Card,
CardContent,
CardHeader,
CardTitle,
} from "@/components/__legacy__/ui/card";
import { IconCross } from "@/components/__legacy__/ui/icons";
import { Input } from "@/components/__legacy__/ui/input";
import LoadingBox from "@/components/__legacy__/ui/loading";
import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
import { humanizeCronExpression } from "@/lib/cron-expression-utils";
import { formatScheduleTime } from "@/lib/timezone-utils";
import { useUserTimezone } from "@/lib/hooks/useUserTimezone";
import { PlayIcon } from "lucide-react";
import { AgentRunStatus } from "./agent-run-status-chip";
export function AgentScheduleDetailsView({
graph,
schedule,
agentActions,
onForcedRun,
doDeleteSchedule,
}: {
graph: Graph;
schedule: Schedule;
agentActions: ButtonAction[];
onForcedRun: (runID: GraphExecutionID) => void;
doDeleteSchedule: (scheduleID: ScheduleID) => void;
}): React.ReactNode {
const api = useBackendAPI();
const selectedRunStatus: AgentRunStatus = "scheduled";
const toastOnFail = useToastOnFail();
// Get user's timezone for displaying schedule times
const userTimezone = useUserTimezone();
const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
return [
{
label: "Status",
value:
selectedRunStatus.charAt(0).toUpperCase() +
selectedRunStatus.slice(1),
},
{
label: "Schedule",
value: humanizeCronExpression(schedule.cron),
},
{
label: "Next run",
value: formatScheduleTime(schedule.next_run_time, userTimezone),
},
];
}, [schedule, selectedRunStatus, userTimezone]);
const agentRunInputs: Record<
string,
{ title?: string; /* type: BlockIOSubType; */ value: any }
> = useMemo(() => {
// TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
// Add type info from agent input schema
return Object.fromEntries(
Object.entries(schedule.input_data).map(([k, v]) => [
k,
{
title: graph.input_schema.properties[k].title,
/* TODO: type: agent.input_schema.properties[k].type */
value: v,
},
]),
);
}, [graph, schedule]);
const runNow = useCallback(
() =>
api
.executeGraph(
graph.id,
graph.version,
schedule.input_data,
schedule.input_credentials,
"library",
)
.then((run) => onForcedRun(run.id))
.catch(toastOnFail("execute agent")),
[api, graph, schedule, onForcedRun, toastOnFail],
);
const runActions: ButtonAction[] = useMemo(
() => [
{
label: (
<>
<PlayIcon className="mr-2 size-4" />
Run now
</>
),
callback: runNow,
},
{
label: (
<>
<IconCross className="mr-2 size-4 px-0.5" />
Delete schedule
</>
),
callback: () => doDeleteSchedule(schedule.id),
variant: "destructive",
},
],
[runNow],
);
return (
<div className="agpt-div flex gap-6">
<div className="flex flex-1 flex-col gap-4">
<Card className="agpt-box">
<CardHeader>
<CardTitle className="font-poppins text-lg">Info</CardTitle>
</CardHeader>
<CardContent>
<div className="flex justify-stretch gap-4">
{infoStats.map(({ label, value }) => (
<div key={label} className="flex-1">
<p className="text-sm font-medium text-black">{label}</p>
<p className="text-sm text-neutral-600">{value}</p>
</div>
))}
</div>
</CardContent>
</Card>
<Card className="agpt-box">
<CardHeader>
<CardTitle className="font-poppins text-lg">Input</CardTitle>
</CardHeader>
<CardContent className="flex flex-col gap-4">
{agentRunInputs !== undefined ? (
Object.entries(agentRunInputs).map(([key, { title, value }]) => (
<div key={key} className="flex flex-col gap-1.5">
<label className="text-sm font-medium">{title || key}</label>
<Input value={value} className="rounded-full" disabled />
</div>
))
) : (
<LoadingBox spinnerSize={12} className="h-24" />
)}
</CardContent>
</Card>
</div>
{/* Run / Agent Actions */}
<aside className="w-48 xl:w-56">
<div className="flex flex-col gap-8">
<ActionButtonGroup title="Run actions" actions={runActions} />
<ActionButtonGroup title="Agent actions" actions={agentActions} />
</div>
</aside>
</div>
);
}

View File

@@ -1,100 +0,0 @@
"use client";
import React, { useState } from "react";
import { Button } from "@/components/__legacy__/ui/button";
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/__legacy__/ui/dialog";
import { Input } from "@/components/__legacy__/ui/input";
import { Textarea } from "@/components/__legacy__/ui/textarea";
interface CreatePresetDialogProps {
open: boolean;
onOpenChange: (open: boolean) => void;
onConfirm: (name: string, description: string) => Promise<void> | void;
}
export function CreatePresetDialog({
open,
onOpenChange,
onConfirm,
}: CreatePresetDialogProps) {
const [name, setName] = useState("");
const [description, setDescription] = useState("");
const handleSubmit = async () => {
if (name.trim()) {
await onConfirm(name.trim(), description.trim());
setName("");
setDescription("");
onOpenChange(false);
}
};
const handleCancel = () => {
setName("");
setDescription("");
onOpenChange(false);
};
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter" && (e.metaKey || e.ctrlKey)) {
e.preventDefault();
handleSubmit();
}
};
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-[425px]">
<DialogHeader>
<DialogTitle>Create Preset</DialogTitle>
<DialogDescription>
Give your preset a name and description to help identify it later.
</DialogDescription>
</DialogHeader>
<div className="grid gap-4 py-4">
<div className="grid gap-2">
<label htmlFor="preset-name" className="text-sm font-medium">
Name *
</label>
<Input
id="preset-name"
placeholder="Enter preset name"
value={name}
onChange={(e) => setName(e.target.value)}
onKeyDown={handleKeyDown}
autoFocus
/>
</div>
<div className="grid gap-2">
<label htmlFor="preset-description" className="text-sm font-medium">
Description
</label>
<Textarea
id="preset-description"
placeholder="Optional description"
value={description}
onChange={(e) => setDescription(e.target.value)}
onKeyDown={handleKeyDown}
rows={3}
/>
</div>
</div>
<DialogFooter>
<Button variant="outline" onClick={handleCancel}>
Cancel
</Button>
<Button onClick={handleSubmit} disabled={!name.trim()}>
Create Preset
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
);
}

View File

@@ -1,210 +0,0 @@
import {
GraphExecutionMeta as LegacyGraphExecutionMeta,
GraphID,
GraphExecutionID,
} from "@/lib/autogpt-server-api";
import { getQueryClient } from "@/lib/react-query/queryClient";
import {
getPaginatedTotalCount,
getPaginationNextPageNumber,
unpaginate,
} from "@/app/api/helpers";
import {
getV1ListGraphExecutionsResponse,
getV1ListGraphExecutionsResponse200,
useGetV1ListGraphExecutionsInfinite,
} from "@/app/api/__generated__/endpoints/graphs/graphs";
import { GraphExecutionsPaginated } from "@/app/api/__generated__/models/graphExecutionsPaginated";
import { GraphExecutionMeta as RawGraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
export type GraphExecutionMeta = Omit<
RawGraphExecutionMeta,
"id" | "user_id" | "graph_id" | "preset_id" | "stats"
> &
Pick<
LegacyGraphExecutionMeta,
"id" | "user_id" | "graph_id" | "preset_id" | "stats"
>;
/** Hook to fetch runs for a specific graph, with support for infinite scroll.
*
* @param graphID - The ID of the graph to fetch agent runs for. This parameter is
* optional in the sense that the hook doesn't run unless it is passed.
* This way, it can be used in components where the graph ID is not
* immediately available.
*/
export const useAgentRunsInfinite = (graphID?: GraphID) => {
const queryClient = getQueryClient();
const {
data: queryResults,
refetch: refetchRuns,
isPending: agentRunsLoading,
isRefetching: agentRunsReloading,
hasNextPage: hasMoreRuns,
fetchNextPage: fetchMoreRuns,
isFetchingNextPage: isFetchingMoreRuns,
queryKey,
} = useGetV1ListGraphExecutionsInfinite(
graphID!,
{ page: 1, page_size: 20 },
{
query: {
getNextPageParam: getPaginationNextPageNumber,
// Prevent query from running if graphID is not available (yet)
...(!graphID
? {
enabled: false,
queryFn: () =>
// Fake empty response if graphID is not available (yet)
Promise.resolve({
status: 200,
data: {
executions: [],
pagination: {
current_page: 1,
page_size: 20,
total_items: 0,
total_pages: 0,
},
},
headers: new Headers(),
} satisfies getV1ListGraphExecutionsResponse),
}
: {}),
},
},
queryClient,
);
const agentRuns = queryResults ? unpaginate(queryResults, "executions") : [];
const agentRunCount = getPaginatedTotalCount(queryResults);
const upsertAgentRun = (newAgentRun: GraphExecutionMeta) => {
queryClient.setQueryData(
queryKey,
(currentQueryData: typeof queryResults) => {
if (!currentQueryData?.pages || agentRunCount === undefined)
return currentQueryData;
const exists = currentQueryData.pages.some((page) => {
if (page.status !== 200) return false;
const response = page.data;
return response.executions.some((run) => run.id === newAgentRun.id);
});
if (exists) {
// If the run already exists, we update it
return {
...currentQueryData,
pages: currentQueryData.pages.map((page) => {
if (page.status !== 200) return page;
const response = page.data;
const executions = response.executions;
const index = executions.findIndex(
(run) => run.id === newAgentRun.id,
);
if (index === -1) return page;
const newExecutions = [...executions];
newExecutions[index] = newAgentRun;
return {
...page,
data: {
...response,
executions: newExecutions,
},
} satisfies getV1ListGraphExecutionsResponse;
}),
};
}
// If the run does not exist, we add it to the first page
const page = currentQueryData
.pages[0] as getV1ListGraphExecutionsResponse200 & {
headers: Headers;
};
const updatedExecutions = [newAgentRun, ...page.data.executions];
const updatedPage = {
...page,
data: {
...page.data,
executions: updatedExecutions,
},
} satisfies getV1ListGraphExecutionsResponse;
const updatedPages = [updatedPage, ...currentQueryData.pages.slice(1)];
return {
...currentQueryData,
pages: updatedPages.map(
// Increment the total runs count in the pagination info of all pages
(page) =>
page.status === 200
? {
...page,
data: {
...page.data,
pagination: {
...page.data.pagination,
total_items: agentRunCount + 1,
},
},
}
: page,
),
};
},
);
};
const removeAgentRun = (runID: GraphExecutionID) => {
queryClient.setQueryData(
[queryKey, { page: 1, page_size: 20 }],
(currentQueryData: typeof queryResults) => {
if (!currentQueryData?.pages) return currentQueryData;
let found = false;
return {
...currentQueryData,
pages: currentQueryData.pages.map((page) => {
const response = page.data as GraphExecutionsPaginated;
const filteredExecutions = response.executions.filter(
(run) => run.id !== runID,
);
if (filteredExecutions.length < response.executions.length) {
found = true;
}
return {
...page,
data: {
...response,
executions: filteredExecutions,
pagination: {
...response.pagination,
total_items:
response.pagination.total_items - (found ? 1 : 0),
},
},
};
}),
};
},
);
};
return {
agentRuns: agentRuns as GraphExecutionMeta[],
refetchRuns,
agentRunCount,
agentRunsLoading: agentRunsLoading || agentRunsReloading,
hasMoreRuns,
fetchMoreRuns,
isFetchingMoreRuns,
upsertAgentRun,
removeAgentRun,
};
};
export type AgentRunsQuery = ReturnType<typeof useAgentRunsInfinite>;

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@@ -1,7 +0,0 @@
"use client";
import { OldAgentLibraryView } from "../../agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView";
export default function OldAgentLibraryPage() {
return <OldAgentLibraryView />;
}

View File

@@ -1151,6 +1151,36 @@
}
},
"/api/chat/sessions/{session_id}": {
"delete": {
"tags": ["v2", "chat", "chat"],
"summary": "Delete Session",
"description": "Delete a chat session.\n\nPermanently removes a chat session and all its messages.\nOnly the owner can delete their sessions.\n\nArgs:\n session_id: The session ID to delete.\n user_id: The authenticated user's ID.\n\nReturns:\n 204 No Content on success.\n\nRaises:\n HTTPException: 404 if session not found or not owned by user.",
"operationId": "deleteV2DeleteSession",
"security": [{ "HTTPBearerJWT": [] }],
"parameters": [
{
"name": "session_id",
"in": "path",
"required": true,
"schema": { "type": "string", "title": "Session Id" }
}
],
"responses": {
"204": { "description": "Successful Response" },
"401": {
"$ref": "#/components/responses/HTTP401NotAuthenticatedError"
},
"404": { "description": "Session not found or access denied" },
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": { "$ref": "#/components/schemas/HTTPValidationError" }
}
}
}
}
},
"get": {
"tags": ["v2", "chat", "chat"],
"summary": "Get Session",

View File

@@ -115,7 +115,7 @@ const DialogFooter = ({
}: React.HTMLAttributes<HTMLDivElement>) => (
<div
className={cn(
"flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
"flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",
className,
)}
{...props}

View File

@@ -2,7 +2,7 @@ import { useEffect, useState } from "react";
import { Input } from "@/components/__legacy__/ui/input";
import { Button } from "@/components/__legacy__/ui/button";
import { useToast } from "@/components/molecules/Toast/use-toast";
import { CronScheduler } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler";
import { CronScheduler } from "@/components/contextual/CronScheduler/cron-scheduler";
import { Dialog } from "@/components/molecules/Dialog/Dialog";
import { getTimezoneDisplayName } from "@/lib/timezone-utils";
import { useUserTimezone } from "@/lib/hooks/useUserTimezone";

View File

@@ -1,6 +1,6 @@
"use client";
import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
import { Form, FormField } from "@/components/__legacy__/ui/form";
import { Button } from "@/components/atoms/Button/Button";
import { Input } from "@/components/atoms/Input/Input";

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@@ -7,7 +7,6 @@ import { useFlags } from "launchdarkly-react-client-sdk";
export enum Flag {
BETA_BLOCKS = "beta-blocks",
NEW_BLOCK_MENU = "new-block-menu",
NEW_AGENT_RUNS = "new-agent-runs",
GRAPH_SEARCH = "graph-search",
ENABLE_ENHANCED_OUTPUT_HANDLING = "enable-enhanced-output-handling",
SHARE_EXECUTION_RESULTS = "share-execution-results",
@@ -22,7 +21,6 @@ const isPwMockEnabled = process.env.NEXT_PUBLIC_PW_TEST === "true";
const defaultFlags = {
[Flag.BETA_BLOCKS]: [],
[Flag.NEW_BLOCK_MENU]: false,
[Flag.NEW_AGENT_RUNS]: false,
[Flag.GRAPH_SEARCH]: false,
[Flag.ENABLE_ENHANCED_OUTPUT_HANDLING]: false,
[Flag.SHARE_EXECUTION_RESULTS]: false,

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@@ -0,0 +1,4 @@
declare module "*.png" {
const content: import("next/image").StaticImageData;
export default content;
}