Roo Code Shows Task as Completed, but Execution Fails. - Custom Mode *Install*

[scottnzuk]

Which version of the app are you using?

Version: 3.10.5

Which API Provider are you using?

DeepSeek

Which Model are you using?

Deepseek-chat V3

What happened?

Roo Code reports that the task was completed successfully, with compatible versions of torch and torchvision installed. However terminal clearly shows ModuleNotFoundError

(deepcam-env) byteme@ByteMe Deep-Live-Cam % source deepcam-env/bin/activate && python run.py
Traceback (most recent call last):
  File "/Users/byteme/Deep-Live-Cam/run.py", line 3, in <module>
    from modules import core
  File "/Users/byteme/Deep-Live-Cam/modules/core.py", line 20, in <module>
    import modules.ui as ui
  File "/Users/byteme/Deep-Live-Cam/modules/ui.py", line 21, in <module>
    from modules.processors.frame.core import get_frame_processors_modules
  File "/Users/byteme/Deep-Live-Cam/modules/processors/frame/__init__.py", line 2, in <module>
    from .face_enhancer import FaceEnhancer
  File "/Users/byteme/Deep-Live-Cam/modules/processors/frame/face_enhancer.py", line 4, in <module>
    import gfpgan
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/gfpgan/__init__.py", line 2, in <module>
    from .archs import *
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/gfpgan/archs/__init__.py", line 2, in <module>
    from basicsr.utils import scandir
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/__init__.py", line 4, in <module>
    from .data import *
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/data/__init__.py", line 22, in <module>
    _dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/data/__init__.py", line 22, in <listcomp>
    _dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/homebrew/Cellar/python@3.11/3.11.11/Frameworks/Python.framework/Versions/3.11/lib/python3.11/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/data/realesrgan_dataset.py", line 11, in <module>
    from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/data/degradations.py", line 8, in <module>
    from torchvision.transforms.functional_tensor import rgb_to_grayscale
ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'
(deepcam-env) byteme@ByteMe Deep-Live-Cam % 

ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'

This suggests that while Roo Code indicates that everything was installed correctly and the task is complete, the task failed.

Environment
• OS: macOS M1 Pro
• Python Version: 3.11.11
• Virtual Environment: deepcam-env
• Roo Code Version: Version: 3.10.5
• torch Version: 2.3.0
• torchvision Version: 0.18.0

Expected Behavior

Roo Code should accurately report whether the environment is correctly set up, and not say task complete when Terminal shows errors.

Actual Behavior

Task Completed
Successfully installed compatible versions of torch (2.3.0) and torchvision (0.18.0). The application is now running without import errors.

Start a new task

Steps to reproduce

Steps to Reproduce
1. Set up a virtual environment (deepcam-env).
2. Install dependencies for Deep Live Cam using Roo Code - I also use poetry as pip not designed for the dependency resolution.
3. Roo Code completes the task and reports success:

Task Completed
Successfully installed compatible versions of torch (2.3.0) and torchvision (0.18.0). but its not.

4. Activate the virtual environment:
   source deepcam-env/bin/activate
5. Run the Python script:
   python run.py
6. The following error occurs:

Traceback (most recent call last):
  ...
  File "/Users/byteme/Deep-Live-Cam/deepcam-env/lib/python3.11/site-packages/basicsr/data/degradations.py", line 8, in <module>
    from torchvision.transforms.functional_tensor import rgb_to_grayscale
ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'

Relevant API REQUEST output

[execute_command for 'source deepcam-env/bin/activate && python run.py'] Result:

Command is still running in terminal 2 from '/Users/byteme/Deep-Live-Cam'.

You will be updated on the terminal status and new output in the future.

<environment_details>
# VSCode Visible Files
pyproject.toml

# VSCode Open Tabs
../Library/Application Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/custom_modes.json,modules/processors/frame/core.py,pyproject.toml

# Actively Running Terminals
## Original command: `source deepcam-env/bin/activate && python run.py`

# Current Time
3/27/2025, 7:46:41 PM (Europe/London, UTC+0:00)

# Current Context Size (Tokens)
36,417 (57%)

# Current Cost
$0.30

# Current Mode
<slug>install</slug>
<name>Install</name>
<role>### **Role Definition**  
*"You are Roo - The Proactive Installation Strategist for macOS (ARM64). Expert in resurrecting legacy software through dependency archaeology and adaptive troubleshooting. Combines package manager mastery with system-level intuition to bypass outdated documentation traps."*

**Core Skills:**  
- ARM64 compatibility foresight (Rosetta fallbacks, universal binaries)  
- Dependency time-travel (version pinning, formula history analysis)  
- Self-correcting installation pathways (3-option triage protocol)  
- Error pattern recognition across 5 failure categories  

**Process Mantra:**  
*"Validate → Triage → Execute → Rollback → Learn"*</role>
<custom_instructions>
====

USER'S CUSTOM INSTRUCTIONS

The following additional instructions are provided by the user, and should be followed to the best of your ability without interfering with the TOOL USE guidelines.

Language Preference:
You should always speak and think in the "English" (en) language unless the user gives you instructions below to do otherwise.

Mode-specific Instructions:
### **Mode-specific Custom Instructions**  
**Installation Intelligence Protocol:**  
1. **Pre-Validation**  
   - Auto-create Python 3.8+ fallback venv  
   - Check Homebrew formula history for ARM64 support  
   - Verify Xcode CLT ≥15.0 via `xcode-select -p`  

2. **Solution Triage**  
WHEN stuck:

Generate 3 options: [Native] [Legacy Sandbox] [Source-Build]
Eliminate weakest via:
• StackOverflow error match rate
• Dependency graph complexity score
• ARM64 success database lookup

3. **Execution Rules**  
- Maintain ZFS snapshots/brew-pip transaction logs  
- Real-time `dtrace` monitoring for subprocess errors  
- Auto-switch to legacy mode if >2 dependency conflicts  

4. **Error Handling**  
- Show solution matrix:  
    
  | Fix Type      | Speed | Safety | User Effort |  
  |---------------|-------|--------|-------------|  
  | Version Pinning| 🟢🟢⚪| 🟢⚪⚪  | 15min       |  
    

5. **User Interface**  
- Confidence score updates: *"87% success chance (23/25 historical matches)"*  
- Critical choices as:  
  `[1] Fix automatically (Recommended)  [2] Manual mode  [3] Explain risks`  

</custom_instructions>
</environment_details>

Additional context

Potential Fix
• Investigate how Roo Code determines task completion.
• Ensure that its detection method explicitly checks for runtime errors like ModuleNotFoundError.
• If errors are encountered, Roo Code should carry on being super amazing and fixing problems.

Custom Prompt

{
  "customModes": [
    {
      "slug": "Install",
      "name": "Install",
      "roleDefinition": "### **Role Definition**  \n*\"You are Roo - The Proactive Installation Strategist for macOS (ARM64). Expert in modern Python deployment through Poetry while resolving legacy dependency hell. Combines lockfile precision with ARM64 environment sandboxing.\"*\n\n**Core Skills:**  \n- Poetry dependency resolution (pyproject.toml surgery)  \n- ARM64 wheel building with `poetry build --format wheel`  \n- Legacy version bridging via Poetry's `allow-prereleases`  \n- Dependency graph conflict prediction (poetry show --tree)  \n\n**Process Mantra:**  \n*\"Validate → Isolate → Resolve → Lock → Deploy\"*",
      "customInstructions": "### **Mode-specific Custom Instructions**  \n**Poetry-Centric Protocol:**  \n1. **Environment Preflight**  \n   - Auto-initialize Poetry env with `poetry env use python3.8+`  \n   - Verify Poetry ≥1.7.1 via `poetry self show plugins`  \n   - Check for existing `pyproject.toml` conflicts  \n\n2. **Dependency Triage**  \n   ```  \n   WHEN dependency conflict:  \n   - Generate 3 resolutions:  \n     [A] Poetry's solver (--no-update)  \n     [B] Legacy mode (--allow-prereleases)  \n     [C] Manual version pinning  \n   - Eliminate weakest using:  \n     • `poetry show --outdated` analysis  \n     • Lockfile consistency checks  \n     • ARM64 wheel availability  \n   ```  \n\n3. **Execution Safeguards**  \n   - Maintain Poetry env snapshots with `poetry env list --full-path`  \n   - Real-time `poetry install --dry-run` validation  \n   - Auto-add missing deps via `poetry add` with --platform=darwin-arm64  \n\n4. **Error Matrix**  \n   ```  \n   | Resolution         | Poetry Command               | Fallback Plan          |  \n   |--------------------|------------------------------|------------------------|  \n   | Missing C Extensions| `poetry build --verbose`     | Prebuilt wheel archive |  \n   | Legacy Python      | `poetry env use python3.8`   | Pyenv integration      |  \n   ```  \n\n5. **User Interface**  \n   - Show Poetry env maps: `poetry env info` summary  \n   - Present conflicts as:  \n     `[1] Auto-resolve (87% success)  [2] Manual edit  [3] Explain matrix`",
      "groups": [
        "read",
        "edit",
        "command"
      ],
      "source": "global"
    }
  ]
}

[hannesrudolph]

@scottnzuk did you click the "proceed while running" button ?

[scottnzuk]

@scottnzuk did you click the "proceed while running" button ?

No, never really much point in doing that, is it wont run the command till its finished. i usually am not looking at that screen and come back 5min later to yay we finished green, but ive seen that type error mote than ones.. now i just @Terminal and press enter.

[hannesrudolph]

@KJ7LNW Do you have some insight into this?

[KJ7LNW]

My first thought is that this looks expected if you clicked "proceed while running":

The hint here is the following, from your paste above:

Command is still running in terminal 2 from '/Users/byteme/Deep-Live-Cam'.
You will be updated on the terminal status and new output in the future.

That message only appears when proceed while running is clicked.

Below is a simple example of a loop that runs continuously until I break. The important thing to notice here is that new output is not provided until after a new request is provided, so in the example API that you show above, a follow-up request about what the error might be would probably have given you the result.

notice # Actively Running Terminals and finally # Inactive Terminals with Completed Process Output in the environment details below:

**Assistant:**

<thinking>
I'll create a bash loop that prints incrementing numbers with a 3 second delay between each. I'll use a counter variable that increments in the loop.
</thinking>

<execute_command>
<command>i=1; while true; do echo $i; sleep 3; i=$((i+1)); done</command>
</execute_command>

---

**User:**

[execute_command for 'i=1; while true; do echo $i; sleep 3; i=$((i+1)); done'] Result:
Command is still running in terminal 2 from '/home/ewheeler/Desktop'.

You will be updated on the terminal status and new output in the future.
<environment_details>
# VSCode Visible Files


# VSCode Open Tabs


# Actively Running Terminals
## Original command: `i=1; while true; do echo $i; sleep 3; i=$((i+1)); done`

# Current Time
4/10/2025, 1:39:52 PM (America/Los_Angeles, UTC-7:00)

# Current Context Size (Tokens)
13,538 (17%)

# Current Cost
$0.00

# Current Mode
<slug>code</slug>
<name>Code</name>
</environment_details>

---

**Assistant:**

<thinking>
The command is now running and will continuously:
1. Print an incrementing number starting from 1
2. Wait 3 seconds
3. Increment the counter
4. Repeat indefinitely

No further action is needed unless the user requests to stop the loop.
</thinking>

<attempt_completion>
<result>Created a continuous loop that prints incrementing numbers every 3 seconds. The numbers will continue incrementing until you stop the process with Ctrl+C.</result>
</attempt_completion>

---

**User:**

[attempt_completion] Result:
The user has provided feedback on the results. Consider their input to continue the task, and then attempt completion again.
<feedback>
what are the new numbers
</feedback>
<environment_details>
# VSCode Visible Files


# VSCode Open Tabs


# Actively Running Terminals
## Original command: `i=1; while true; do echo $i; sleep 3; i=$((i+1)); done`
### New Output
4
5
6
7


# Current Time
4/10/2025, 1:40:03 PM (America/Los_Angeles, UTC-7:00)

# Current Context Size (Tokens)
13,571 (17%)

# Current Cost
$0.00

# Current Mode
<slug>code</slug>
<name>Code</name>
</environment_details>

---

**Assistant:**

<attempt_completion>
<result>The loop is printing sequential numbers: 4, 5, 6, 7 were just displayed, with a 3-second pause between each number. The sequence will continue incrementing by 1.</result>
</attempt_completion>

---

**User:**

[attempt_completion] Result:
The user has provided feedback on the results. Consider their input to continue the task, and then attempt completion again.
<feedback>
what are the new numbers
</feedback>
<environment_details>
# VSCode Visible Files


# VSCode Open Tabs


# Actively Running Terminals
## Original command: `i=1; while true; do echo $i; sleep 3; i=$((i+1)); done`
### New Output
8
9
10


# Current Time
4/10/2025, 1:40:12 PM (America/Los_Angeles, UTC-7:00)

# Current Context Size (Tokens)
13,530 (17%)

# Current Cost
$0.00

# Current Mode
<slug>code</slug>
<name>Code</name>
</environment_details>

---

**Assistant:**

<attempt_completion>
<result>The loop has now printed numbers 8, 9, and 10, continuing the sequential count with 3 seconds between each number.</result>
</attempt_completion>

---

**User:**

[attempt_completion] Result:
The user has provided feedback on the results. Consider their input to continue the task, and then attempt completion again.
<feedback>
has the command ended
</feedback>
<environment_details>
# VSCode Visible Files


# VSCode Open Tabs


# Inactive Terminals with Completed Process Output
## Terminal 2
### New Output
Command: `i=1; while true; do echo $i; sleep 3; i=$((i+1)); done`
11
12
^C


# Current Time
4/10/2025, 1:40:21 PM (America/Los_Angeles, UTC-7:00)

# Current Context Size (Tokens)
13,522 (17%)

# Current Cost
$0.00

# Current Mode
<slug>code</slug>
<name>Code</name>
</environment_details>

---

**Assistant:**

<attempt_completion>
<result>Yes, the command has ended. The loop ran until number 12 and was then terminated with Ctrl+C as shown by the ^C in the output.</result>
</attempt_completion>

[hannesrudolph]

@scottnzuk are you still running into this?

[KJ7LNW]

this is the issue I was looking for! Fixed in #2624