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logging to /home/runner/.local/share/goose/sessions/20250921_063845.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

Dockerfile

  • Created a new multi-stage Dockerfile for a Tech Stack Advisor ML App
  • Defined a builder stage for training the model using Python 3.11-slim
  • Installed build dependencies, including gcc and python3-dev
  • Copied requirements and installed Python dependencies
  • Copied a training script and trained the model
  • Defined a production runtime stage using Python 3.11-slim
  • Created a non-root user for security
  • Copied Python packages, application files, and trained models from the builder stage
  • Set ownership and switched to the non-root user
  • Configured environment variables and added a health check
  • Exposed port 7860 and set the default command to run the application with Python

gemma2-9b-it
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logging to /home/runner/.local/share/goose/sessions/20250921_070231.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor
```markdown
- [ ] Implement feature X
- [ ] Update API
- [ ] Write tests
- [ ] Run tests (subagent in parallel)

Please add extensions to get started! Check available extensions with `{{tool_call}}



```markdown



```javascript

─── search_available_extensions | platform ──────────────────────────
some_argument: some argument value

The tool calling loop was interrupted. How would you like to proceed?
error: The error above was an exception we were not able to handle.
These errors are often related to connection or authentication
We've removed the conversation up to the most recent user message

  • depending on the error you may be able to continue

switch to llama-3.3-70b-versatile
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logging to /home/runner/.local/share/goose/sessions/20250921_070348.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

Dockerfile

  • Created a new multi-stage Dockerfile for the Tech Stack Advisor ML App
  • Added a builder stage for training the model
  • Installed build dependencies, including gcc and python3-dev
  • Installed Python dependencies from requirements.txt
  • Trained the model using the train.py script
  • Added a production runtime stage
  • Created a non-root user for security
  • Copied Python packages and application files from the builder stage
  • Set ownership and switched to the non-root user
  • Added a health check and exposed port 7860
  • Set the default command to run the app.py script

BuildKit optimized Dockerfile with advanced caching and multi-arch support
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logging to /home/runner/.local/share/goose/sessions/20250921_070854.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

Dockerfile

  • Added a new Dockerfile with 89 lines of code
  • Defined ARG variables for TARGETPLATFORM, BUILDPLATFORM, TARGETOS, and TARGETARCH
  • Created three stages: dependencies, trainer, and production
  • Installed dependencies and trained a model in the respective stages
  • Created a non-root user and copied application files
  • Set up environment variables and a health check
  • Exposed port 7860 and defined the default command to run the application
  • Included instructions for building the Docker image for single and multiple platforms

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