ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

cursor-chats/20251001_121956_HOST_=_0.0.0.0.md

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+# 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)*