ai-agent-book/cursor-chats/20251001_121956_HOST_=_0.0.0.0.md

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

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🤖 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.

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🤖 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:

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:

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):

   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.

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Exported from Cursor View