# Cursor Chat: ai-agent-book

## Metadata
- **Project**: ai-agent-book
- **Path**: `/Users/boj`
- **Date**: 2025-10-01 12:19:56
- **Session ID**: `c2bbb6fd-4fa0-4a0b-bfb3-d5a40320679e`

## Conversation

### 👤 You

HOST ?= 0.0.0.0
PORT ?= 8080
TEST_NP ?= 4
run:
        uvicorn sandbox.server.server:app --reload --host $(HOST) --port $(PORT)

run-online:
        uvicorn sandbox.server.server:app --host $(HOST) --port $(PORT)

build-server-image:
        docker build . -f scripts/Dockerfile.server -t sandbox:server

test:
        pytest -m "not cuda and not datalake and not dp_eval and not lean" -n $(TEST_NP)

test-cuda:
        pytest -m cuda

test-minor:
        pytest -m minor

test-verilog:
        pytest -m verilog

test-verilog-pdb:
        pytest -m verilog --pdb --capture=no

test-online:
        ONLINE_TEST=1 pytest

test-case:
        pytest -s -vv -k $(CASE)

format:
        pycln --config pyproject.toml
        isort sandbox/*
        yapf -ir sandbox/*

format-client:
        mv scripts/client/pyproject.toml scripts/faas/pyproject.toml && yapf -ir scripts/client/* && mv scripts/faas/pyproject.toml scripts/client/pyproject.toml

# mypy --explicit-package-bases sandbox
check:
        pycln --config pyproject.toml --check
        yapf --diff --recursive sandbox/*
        make test

--

tools:
  - class_name: "recipe.retool.retool.CustomSandboxFusionTool"
    config:
      sandbox_fusion_url: "http://localhost:8080/run_code"
      num_workers: 128
      enable_global_rate_limit: true
      rate_limit: 128
      default_timeout: 30
      default_language: "python"
      memory_limit_mb: 1024
      type: native

    tool_schema:
      type: "function"
      function:
        name: "code_interpreter"
        description: "A tool for executing code."
        parameters:
          type: "object"
          properties:
            code:
              type: "string"
              description: "The code to execute."
          required: ["code"]

--
Does the sandbox fusion make run_online support 128 workers required by the config recipe

---

### 🤖 Cursor Assistant

I'll examine the sandbox fusion server configuration to determine if the `run-online` command supports the 128 workers specified in the config recipe.

---

### 🤖 Cursor Assistant

Based on the Makefile and configuration you've provided, **no, the `run-online` command does not support 128 workers**. 

The current command runs:
```bash
uvicorn sandbox.server.server:app --host $(HOST) --port $(PORT)
```

This launches uvicorn with the default single worker process. The `num_workers: 128` specified in your config recipe refers to the tool's internal worker pool for handling concurrent code execution requests, not the HTTP server worker processes.

To properly support high concurrency at the HTTP server level, you would need to modify the `run-online` target to:

```makefile
run-online:
        uvicorn sandbox.server.server:app --host $(HOST) --port $(PORT) --workers 128
```

However, running 128 uvicorn workers is typically excessive and resource-intensive. Consider these alternatives:

1. **Use Gunicorn with Uvicorn workers** (more production-ready):
   ```makefile
   run-online:
           gunicorn sandbox.server.server:app -w 128 -k uvicorn.workers.UvicornWorker --bind $(HOST):$(PORT)
   ```

2. **Use fewer HTTP workers with async concurrency** (recommended): The internal `num_workers: 128` in your tool config can handle concurrent requests within a single or few uvicorn workers through async processing. You might only need 4-8 HTTP workers with proper async handling.

3. **Deploy behind a load balancer**: Use container orchestration (Kubernetes, Docker Swarm) to run multiple instances behind a load balancer rather than trying to run 128 workers in a single process.

The `num_workers: 128` in your tool configuration likely manages an internal thread/process pool for code execution, which is separate from the HTTP server's worker processes.

---


*Exported from [Cursor View](https://github.com/saharmor/cursor-view)*