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Use sparingly and inspect only what is needed. Prefer precise paths, targeted filters (grep, grep -m, sed -n), and bounded output (head, tail, find with limits). Combine related checks concisely. Never dump entire large files, directories, logs, dependency trees, or recursive listings unless explicitly necessary. Avoid verbose flags and redundant output.\"\n```\n\n**Impact:** Strongly encourages AI to:\n- Use the tool sparingly\n- Request bounded output at the source\n- Avoid large dumps (files, directories, recursive listings)\n- Combine related checks\n- Use targeted filters (grep -m, sed -n, head, tail, find with limits)\n\n### 2. `read_file` Tool\n\n**Before:**\n```\n\"Read an inclusive line range from a UTF-8 text file.\n\nLine numbers are 1-based. If end_line is omitted, read through EOF.\"\n```\n\n**After:**\n```\n\"Read only the smallest useful line range. Lines are 1-based. Prefer bounded start_line/end_line ranges and avoid reading to EOF for large files unless necessary. If the relevant location is unknown, locate it first with a targeted search, then read only the surrounding lines.\"\n```\n\n**Impact:** Strongly encourages AI to:\n- Read minimal line ranges\n- Use explicit start_line and end_line\n- Avoid reading to EOF for large files\n- Locate sections first with targeted searches, then read only relevant lines\n\n### 3. `write_file` Tool\n\n**No changes** - This tool is for output, not inspection, so token optimization guidance is not applicable.\n\n## Implementation Details\n\n### Server-Side Response Format\n- Preserved the existing compact behavior: `return result.result ?? \"\"`\n- No verbose metadata, command echoes, status labels, or wrappers added\n- Clean direct output only\n\n### No Automatic Truncation\n- Did NOT add server-side output truncation\n- Rationale: Blind truncation can silently remove important information\n- Instead, the descriptions guide AI to request bounded output at the command level\n\n### Files Modified\n- `server.js` (Node.js implementation)\n- `deno-server.js` (Deno/Val Town implementation)\n\n### Verification\n- ✅ Syntax validated with Node.js\n- ✅ Tool names unchanged\n- ✅ Input schemas unchanged\n- ✅ MCP protocol compatibility preserved\n- ✅ Stateless HTTP behavior unchanged\n\n## Expected Behavior\n\nAI agents using this MCP server should now:\n1. Request fewer, more targeted inspections\n2. Use command-line tools to limit output (head, tail, grep -m, etc.)\n3. Read specific line ranges instead of entire files\n4. Locate relevant sections before reading\n5. Avoid expensive operations like recursive listings and dependency tree dumps\n\n## Token Savings Estimate\n\nConservative estimate for typical AI agent sessions:\n- **Before:** 10,000-50,000 tokens per debugging/inspection session (large file dumps, recursive listings)\n- **After:** 2,000-10,000 tokens per session (targeted inspections, bounded output)\n- **Reduction:** 60-80% in inspection-heavy workflows\n\n## Next Steps\n\n1. Review these changes\n2. Test with a live AI agent to measure actual token reduction\n3. 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connects via Streamable HTTP like any MCP host.\nimport { Client } from \"@modelcontextprotocol/sdk/client/index.js\";\nimport { StreamableHTTPClientTransport } from \"@modelcontextprotocol/sdk/client/streamableHttp.js\";\n\nconst url = process.env.MCP_URL || \"http://127.0.0.1:8080/mcp\";\n\nconst client = new Client({ name: \"verify-client\", version: \"1.0.0\" });\nawait client.connect(new StreamableHTTPClientTransport(new URL(url)));\n\nconsole.log(\"Connected:\", client.getServerVersion());\n\nconst tools = await client.listTools();\nconsole.log(\"Tools:\", tools.tools.map((t) => t.name).join(\", \"));\n\nconst res = await client.callTool({\n name: \"execute_command\",\n arguments: { command: \"echo mcp-is-real\" },\n});\nconsole.log(\"execute_command ->\", res.content[0].text.trim());\n\nconst read = await client.callTool({\n name: \"read_file\",\n arguments: { path: \"/etc/hostname\", start_line: 1 },\n});\nconsole.log(\"read_file ->\", read.content[0].text.trim());\n\nawait client.close();\n","label",[138],"f322ea2b-ec50-49b1-80da-7fbbe8b4f7ce","server.js","65cb7d2a-9f8a-11f1-a385-1607ee4eb77e",18,["D",1789053395782],2,"#!/usr/bin/env node\n// MCP server \"ContainerAgent\" - pure node:http, no web framework.\n// Streamable HTTP transport at POST /mcp (stateless).\nimport { createServer } from \"node:http\";\nimport { McpServer } from \"@modelcontextprotocol/sdk/server/mcp.js\";\nimport { StreamableHTTPServerTransport } from \"@modelcontextprotocol/sdk/server/streamableHttp.js\";\nimport { z } from \"zod\";\n\nconst SERVER_NAME = \"ContainerAgent\";\nconst SERVER_VERSION = \"1.0.0\";\n\n// API URL for the Docker container (replace with the actual container address\n// if running elsewhere)\nconst API_URL = process.env.API_URL;\n\n// Bind address/port: Wasmer/Anybuild requires 0.0.0.0 + $PORT (default 8080)\nconst HOST = process.env.HOST || \"0.0.0.0\";\nconst PORT = Number(process.env.PORT || 8080);\n\nfunction toNullable(value) {\n // Mirror Python's json.dumps(None) -> null for optional tool parameters\n return value === undefined ? null : value;\n}\n\nasync function sendAction(action, kwargs) {\n if (!API_URL) {\n return \"Error: API_URL environment variable is not configured\";\n }\n\n const payloadJson = JSON.stringify({ action, kwargs });\n const payloadB64 = Buffer.from(payloadJson, \"utf-8\").toString(\"base64\");\n\n try {\n const resp = await fetch(API_URL, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n // The ModelScope gateway (ms.fun / api-inference) blocks requests\n // without a User-Agent (returns 403). Send a browser-like UA to pass.\n \"User-Agent\":\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0 Safari/537.36\",\n },\n body: JSON.stringify({ payload: payloadB64 }),\n });\n\n if (!resp.ok) {\n return `Error communicating with API: HTTP ${resp.status} ${resp.statusText}`;\n }\n\n const data = await resp.json();\n\n if (\"response\" in data) {\n const decodedResp = Buffer.from(data.response, \"base64\").toString(\n \"utf-8\",\n );\n const resDict = JSON.parse(decodedResp);\n if (\"error\" in resDict) {\n return `Error: ${resDict.error}`;\n }\n return resDict.result ?? \"\";\n }\n\n return `Error: Invalid response format ${JSON.stringify(data)}`;\n } catch (e) {\n return `Error communicating with API: ${e?.message || e}`;\n }\n}\n\nfunction createMcpServer() {\n const mcp = new McpServer({ name: SERVER_NAME, version: SERVER_VERSION });\n\n mcp.registerTool(\n \"execute_command\",\n {\n description:\n \"Run commands with minimal output. 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If the relevant location is unknown, locate it first with a targeted search, then read only the surrounding lines.\",\n inputSchema: z.object({\n path: z.string(),\n start_line: z.number().int().default(1),\n end_line: z.number().int().optional(),\n }),\n },\n async ({ path, start_line, end_line }) => ({\n content: [\n {\n type: \"text\",\n text: await sendAction(\"read_file\", {\n path,\n start_line,\n end_line: toNullable(end_line),\n }),\n },\n ],\n }),\n );\n\n mcp.registerTool(\n \"write_file\",\n {\n description:\n \"Insert content or replace an inclusive range in a UTF-8 text file.\\n\\nInsert is the default mode. Without start_line, insert appends to EOF; otherwise it inserts before start_line. Insert mode does not use end_line.\\n\\nReplace mode overwrites the whole file when no range is provided. With only start_line, it replaces from that line through EOF. With both line parameters, it replaces the inclusive range.\",\n inputSchema: z.object({\n path: z.string(),\n content: z.string(),\n mode: z.enum([\"insert\", \"replace\"]).default(\"insert\"),\n start_line: z.number().int().optional(),\n end_line: z.number().int().optional(),\n }),\n },\n async ({ path, content, mode, start_line, end_line }) => ({\n content: [\n {\n type: \"text\",\n text: await sendAction(\"write_file\", {\n path,\n content,\n mode,\n start_line: toNullable(start_line),\n end_line: toNullable(end_line),\n }),\n },\n ],\n }),\n );\n\n return mcp;\n}\n\n// Plain node:http server. 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${response.status} ${response.statusText}`;\n\t\t}\n\n\t\tconst data = await response.json();\n\n\t\tif (!(\"response\" in data)) {\n\t\t\treturn `Error: Invalid response format ${JSON.stringify(data)}`;\n\t\t}\n\n\t\tconst result = JSON.parse(decodeBase64(data.response));\n\t\tif (\"error\" in result) {\n\t\t\treturn `Error: ${result.error}`;\n\t\t}\n\n\t\treturn result.result ?? \"\";\n\t} catch (error) {\n\t\treturn `Error communicating with API: ${error?.message || error}`;\n\t}\n}\n\nfunction createMcpServer(apiUrl) {\n\tconst mcp = new McpServer({ name: SERVER_NAME, version: SERVER_VERSION });\n\n\tmcp.registerTool(\n\t\t\"execute_command\",\n\t\t{\n\t\t\tdescription: \"Run commands with minimal output. Use sparingly and inspect only what is needed. Prefer precise paths, targeted filters (grep, grep -m, sed -n), and bounded output (head, tail, find with limits). Combine related checks concisely. Never dump entire large files, directories, logs, dependency trees, or recursive listings unless explicitly necessary. Avoid verbose flags and redundant output.\",\n\t\t\tinputSchema: z.object({\n\t\t\t\tcommand: z.string(),\n\t\t\t}),\n\t\t},\n\t\tasync ({ command }) => ({\n\t\t\tcontent: [\n\t\t\t\t{ type: \"text\", text: await sendAction(\"execute\", { command }, apiUrl) },\n\t\t\t],\n\t\t}),\n\t);\n\n\tmcp.registerTool(\n\t\t\"read_file\",\n\t\t{\n\t\t\tdescription:\n\t\t\t\t\"Read only the smallest useful line range. Lines are 1-based. Prefer bounded start_line/end_line ranges and avoid reading to EOF for large files unless necessary. 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With only start_line, it replaces from that line through EOF. With both line parameters, it replaces the inclusive range.\",\n\t\t\tinputSchema: z.object({\n\t\t\t\tpath: z.string(),\n\t\t\t\tcontent: z.string(),\n\t\t\t\tmode: z.enum([\"insert\", \"replace\"]).default(\"insert\"),\n\t\t\t\tstart_line: z.number().int().optional(),\n\t\t\t\tend_line: z.number().int().optional(),\n\t\t\t}),\n\t\t},\n\t\tasync ({ path, content, mode, start_line, end_line }) => ({\n\t\t\tcontent: [\n\t\t\t\t{\n\t\t\t\t\ttype: \"text\",\n\t\t\t\t\ttext: await sendAction(\"write_file\", {\n\t\t\t\t\t\tpath,\n\t\t\t\t\t\tcontent,\n\t\t\t\t\t\tmode,\n\t\t\t\t\t\tstart_line: toNullable(start_line),\n\t\t\t\t\t\tend_line: toNullable(end_line),\n\t\t\t\t\t}, apiUrl),\n\t\t\t\t},\n\t\t\t],\n\t\t}),\n\t);\n\n\treturn mcp;\n}\n\nexport default async function handler(request) {\n\tconst { pathname } = new URL(request.url);\n\n\tif (pathname !== \"/mcp\") {\n\t\treturn Response.json(\n\t\t\t{ error: `Not found: ${request.method} ${pathname}` },\n\t\t\t{ status: 404 },\n\t\t);\n\t}\n\n\ttry {\n\t\tconst url = new URL(request.url);\n\t\tconst apiUrl = request.headers.get(\"X-Api-Url\") ?? url.searchParams.get(\"api_url\");\n\t\tconst transport = new WebStandardStreamableHTTPServerTransport({\n\t\t\tsessionIdGenerator: undefined,\n\t\t\tenableJsonResponse: true,\n\t\t});\n\t\tconst mcp = createMcpServer(apiUrl);\n\n\t\tawait mcp.connect(transport);\n\t\treturn await transport.handleRequest(request);\n\t} catch (error) {\n\t\tconsole.error(\"Error handling MCP request:\", error);\n\t\treturn Response.json(\n\t\t\t{\n\t\t\t\tjsonrpc: \"2.0\",\n\t\t\t\terror: { code: -32603, message: \"Internal server error\" },\n\t\t\t\tid: null,\n\t\t\t},\n\t\t\t{ status: 500 },\n\t\t);\n\t}\n}\n",[185],"079d19e3-ef9d-42df-9e53-f78fd1b4baec","README.md","65918818-9f8a-11f1-961a-1607ee4eb77e",15,["D",1788186731718],"# modelscope-mcp\n\n`ContainerAgent` is a stateless Streamable HTTP MCP server. It proxies container\noperations to an upstream agent service and Base64-encodes request and response\npayloads.\n\nThe project provides two entry points:\n\n- `server.js`: a standalone Node.js HTTP server.\n- `deno-server.js`: a web-standard Deno handler exported as a default function.\n\n## Requirements\n\n- Node.js 20 or newer for `server.js`.\n- A Deno-compatible serverless runtime for `deno-server.js`.\n- An upstream agent endpoint supplied through the `API_URL` environment\n variable. No upstream endpoint is embedded in the source code.\n\n## Installation\n\nInstall the Node.js dependencies:\n\n```bash\nnpm install\n```\n\n## Node.js server\n\nSet `API_URL` in the deployment environment, then start the server:\n\n```bash\nnpm start\n```\n\nThe MCP endpoint is exposed at `/mcp`.\n\n### Environment variables\n\n| Variable | Required | Default | Description |\n| --------- | -------- | --------- | ----------- |\n| `API_URL` | Yes | None | Upstream agent action endpoint. |\n| `HOST` | No | `0.0.0.0` | HTTP bind address. |\n| `PORT` | No | `8080` | HTTP listening port. |\n\n## Deno handler\n\n`deno-server.js` exports the request handler directly:\n\n```js\nexport default async function handler(request) {\n // Returns a web-standard Response.\n}\n```\n\nConfigure `API_URL` as a deployment environment variable. The host platform\nmust route MCP requests to `/mcp`.\n\n## Tools\n\n- `execute_command(command)`: executes a shell command in the container and\n returns its output.\n- `read_file(path, start_line = 1, end_line?)`: reads an inclusive, one-based\n line range from a UTF-8 text file.\n- `write_file(path, content, mode = \"insert\" | \"replace\", start_line?, end_line?)`:\n inserts content or replaces an inclusive line range.\n\n## Testing\n\nStart the Node.js server and run the MCP protocol client:\n\n```bash\nnpm test\n```\n\nUse `MCP_URL` to point the test client at a different MCP deployment. The test\ninitializes the server, lists its tools, executes a command, and reads a file.\n\n## Security\n\n- Keep `API_URL` in the deployment environment rather than source control.\n- The tools provide command execution and file access. Deploy the server only\n in an isolated container and restrict access to the MCP endpoint.\n- Use authentication and authorization at the gateway before exposing the\n server publicly.\n",[193],"b2b1c138-51dd-4d4e-9b13-cb3c32de0e4e",["D",1789053395791],[27],"7e766799-d891-4e44-9e2d-3f3cda9f4558","OPTIMIZATION_COMPLETE.md","9d03d6cc-ad2a-11f1-8012-1607ee4eb77e",20,["D",1789053395810],"# Token Optimization Complete - modelscope-mcp\n\n## Summary\n\nSuccessfully optimized the `modelscope-mcp` Val for lower token usage by updating tool descriptions to explicitly guide AI agents toward minimal, targeted output.\n\n---\n\n## Changes Applied\n\n### 1. execute_command Tool\n\n**OLD (17 tokens):**\n> Execute a shell command inside the container and return output.\n\n**NEW (66 tokens):**\n> Run commands with minimal output. Use sparingly and inspect only what is needed. Prefer precise paths, targeted filters (grep, grep -m, sed -n), and bounded output (head, tail, find with limits). Combine related checks concisely. Never dump entire large files, directories, logs, dependency trees, or recursive listings unless explicitly necessary. Avoid verbose flags and redundant output.\n\n**Guidance added:**\n- Use tool sparingly\n- Prefer precise paths and targeted filters\n- Use bounded output (head, tail, grep -m, sed -n, find with limits)\n- Combine related checks concisely\n- Never dump large files, directories, logs, dependency trees, or recursive listings\n- Avoid verbose flags\n\n### 2. read_file Tool\n\n**OLD (23 tokens):**\n> Read an inclusive line range from a UTF-8 text file.\n>\n> Line numbers are 1-based. If end_line is omitted, read through EOF.\n\n**NEW (52 tokens):**\n> Read only the smallest useful line range. Lines are 1-based. Prefer bounded start_line/end_line ranges and avoid reading to EOF for large files unless necessary. If the relevant location is unknown, locate it first with a targeted search, then read only the surrounding lines.\n\n**Guidance added:**\n- Read only the smallest useful range\n- Prefer bounded start_line/end_line\n- Avoid reading to EOF for large files\n- Locate sections first with targeted search, then read surrounding lines\n\n### 3. write_file Tool\n\n**No changes** - Output tool, not used for inspection.\n\n---\n\n## Implementation Details\n\n### Files Modified\n- `server.js` (Node.js implementation)\n- `deno-server.js` (Deno/Val Town implementation)\n\n### Changes Per File\n- **server.js**: Lines 75-76 (execute_command), 91-92 (read_file)\n- **deno-server.js**: Line 74 (execute_command), 89-90 (read_file)\n\n### Response Format\n**Preserved existing compact behavior:**\n```javascript\nreturn result.result ?? \"\";\n```\n\n**What was NOT added:**\n- ❌ No verbose metadata\n- ❌ No command echoes\n- ❌ No status labels or wrappers\n- ❌ No automatic truncation (per requirements)\n\n### Design Decisions\n\n1. **Description-level guidance** instead of server-side truncation\n - Rationale: AI agents can request bounded output at the command level\n - Avoids silently removing important information\n\n2. **Concise but complete descriptions**\n - Balance between token cost of descriptions vs. savings in actual usage\n - ~49 extra description tokens saves 1,000s of tokens per inspection\n\n3. **No schema changes**\n - Tool names unchanged\n - Input parameters unchanged\n - MCP protocol compatibility preserved\n - Stateless HTTP behavior unchanged\n\n---\n\n## Verification\n\n✅ **Syntax validated** - Node.js --check passed \n✅ **Tool names unchanged** - execute_command, read_file, write_file \n✅ **Input schemas unchanged** - Full backward compatibility \n✅ **MCP protocol compatibility** - Streamable HTTP transport preserved \n✅ **Dependencies installed** - @modelcontextprotocol/sdk@1.30.0, zod@4.1.13 \n✅ **Both implementations updated** - server.js and deno-server.js \n\n---\n\n## Expected Impact\n\n### Token Usage Reduction\n\n**Typical inspection session before optimization:**\n- Large file dumps: 5,000-20,000 tokens per file\n- Recursive directory listings: 2,000-10,000 tokens\n- Verbose command output: 1,000-5,000 tokens per command\n- **Total per session:** 10,000-50,000 tokens\n\n**After optimization:**\n- Targeted line ranges: 100-500 tokens per read\n- Bounded command output: 50-500 tokens per command\n- Focused inspections: 200-1,000 tokens per check\n- **Total per session:** 2,000-10,000 tokens\n\n**Conservative estimate: 60-80% reduction in inspection-heavy workflows**\n\n### Behavioral Changes Expected\n\nAI agents should now:\n1. ✅ Use `head -20`, `tail -50` instead of `cat` on large files\n2. ✅ Use `grep -m 10` instead of unfiltered `grep`\n3. ✅ Use `find -maxdepth 2` instead of recursive listings\n4. ✅ Read specific line ranges (e.g., 100-150) instead of entire files\n5. ✅ Locate sections first with `grep -n`, then read targeted ranges\n6. ✅ Combine checks: `ls -la | head -20` instead of separate commands\n\n---\n\n## Next Steps\n\n1. **Review changes** - Verify the descriptions align with your requirements\n2. **Deploy to Val Town** - Push changes when ready (not done per instructions)\n3. **Monitor token usage** - Track actual reduction in production\n4. **Iterate if needed** - Adjust descriptions based on observed AI behavior\n\n---\n\n## Files Reference\n\n- `server.js` - Node.js HTTP server implementation\n- `deno-server.js` - Deno/Val Town handler implementation \n- `CHANGES.md` - Exact before/after comparison\n- `OPTIMIZATION_COMPLETE.md` - This summary (you are here)\n\n---\n\n**Status:** ✅ Optimization complete, ready for review and deployment\n",[203],"6d670ac2-cf39-4071-8fe9-42ecb57f1586","CHANGES.md","9cf9ef54-ad2a-11f1-b540-1607ee4eb77e",19,["D",1789053395810],"# Exact Changes to Tool Descriptions\n\n## execute_command\n\n### OLD:\n```\nExecute a shell command inside the container and return output.\n```\n\n### NEW:\n```\nRun commands with minimal output. Use sparingly and inspect only what is needed. Prefer precise paths, targeted filters (grep, grep -m, sed -n), and bounded output (head, tail, find with limits). Combine related checks concisely. Never dump entire large files, directories, logs, dependency trees, or recursive listings unless explicitly necessary. Avoid verbose flags and redundant output.\n```\n\n---\n\n## read_file\n\n### OLD:\n```\nRead an inclusive line range from a UTF-8 text file.\n\nLine numbers are 1-based. If end_line is omitted, read through EOF.\n```\n\n### NEW:\n```\nRead only the smallest useful line range. Lines are 1-based. Prefer bounded start_line/end_line ranges and avoid reading to EOF for large files unless necessary. If the relevant location is unknown, locate it first with a targeted search, then read only the surrounding lines.\n```\n\n---\n\n## write_file\n\nNo changes (output tool, not inspection).\n\n---\n\n## Response Format\n\n**Preserved compact behavior:**\n```javascript\nreturn result.result ?? \"\";\n```\n\nNo additional metadata, wrappers, or truncation added.\n\n---\n\n## Files Modified\n\n- `server.js` (lines 75-76, 91-92)\n- `deno-server.js` (lines 74, 89-90)\n\nBoth implementations now have identical token-optimization guidance.\n",[210],"4fab4b61-8ce5-4081-a8d0-90b5f465f587","AGENTS.md","c3279972-9f8a-11f1-b51e-1607ee4eb77e",9,["D",1787555375309],"You are an advanced assistant specialized in generating Val Town code.\n\n## Core Guidelines\n\n- Ask clarifying questions when requirements are ambiguous\n- Provide complete, functional solutions rather than skeleton implementations\n- Test your logic against edge cases before presenting the final solution\n- Ensure all code follows Val Town's specific platform requirements\n- If a section of code that you're working on is getting too complex, consider\n refactoring it into subcomponents\n\n## Code Standards\n\n- Generate code in TypeScript or TSX\n- Add appropriate TypeScript types and interfaces for all data structures\n- Prefer official SDKs or libraries than writing API calls directly\n- Ask the user to supply API or library documentation if you are at all unsure\n about it\n- **Never bake in secrets into the code** - always use environment variables\n- Include comments explaining complex logic (avoid commenting obvious\n operations)\n- Follow modern ES6+ conventions and functional programming practices if\n possible\n\n## Types of triggers\n\n### 1. HTTP Trigger\n\n- Create web APIs and endpoints\n- Handle HTTP requests and responses\n- Example structure:\n\n```ts\nexport default async function (req: Request) {\n return new Response(\"Hello World\");\n}\n```\n\nFiles that are HTTP triggers have http in their name like `foobar.http.tsx`\n\n### 2. Cron Triggers\n\n- Run on a schedule\n- Use cron expressions for timing\n- Example structure:\n\n```ts\nexport default async function () {\n // Scheduled task code\n}\n```\n\nFiles that are Cron triggers have cron in their name like `foobar.cron.tsx`\n\n### 3. Email Triggers\n\n- Process incoming emails\n- Handle email-based workflows\n- Example structure:\n\n```ts\nexport default async function (email: Email) {\n // Process email\n}\n```\n\nFiles that are Email triggers have email in their name like `foobar.email.tsx`\n\n## Val Town Standard Libraries\n\nVal Town provides several hosted services and utility functions.\n\n### Blob Storage\n\n```ts\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nawait blob.setJSON(\"myKey\", { hello: \"world\" });\nlet blobDemo = await blob.getJSON(\"myKey\");\nlet appKeys = await blob.list(\"app_\");\nawait blob.delete(\"myKey\");\n```\n\n### SQLite\n\n```ts\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nconst TABLE_NAME = \"todo_app_users_2\";\n// Create table - do this before usage and change table name when modifying schema\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL\n)`);\n// Query data\nconst result = await sqlite.execute(\n `SELECT * FROM ${TABLE_NAME} WHERE id = ?`,\n [1],\n);\n```\n\n### OpenAI\n\n```ts\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nconst openai = new OpenAI();\nconst completion = await openai.chat.completions.create({\n messages: [\n { role: \"user\", content: \"Say hello in a creative way\" },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 30,\n});\n```\n\n### Email\n\n```ts\nimport { email } from \"https://esm.town/v/std/email\";\n// By default emails the owner of the val\nawait email({\n subject: \"Hi\",\n text: \"Hi\",\n html: \"

Hi

\",\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport {\n parseProject,\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\"\nurls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's _extremely importing_ to note that `parseProject` and other\nStandard Library utilities ONLY RUN ON THE SERVER. If you need access to this\ndata on the client, run it in the server and pass it to the client by splicing\nit into the HTML page or by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use\n `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})`\n instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode\n symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use:\n `

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys)\n unless otherwise specified\n- **View Source:** Add a view source link by importing & using\n `import.meta.url.replace(\"esm.sh\", \"val.town)\"` (or passing this data to the\n client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add\n `` to HTML to capture\n client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local\n resolution; Avoid catches that merely log or return 500s. Let errors bubble up\n with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but\n generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure\n compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer\n simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with\n `?deps=react@18.2.0,react-dom@18.2.0` and start the file with\n `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same\n version\n- **Styling:** Default to using TailwindCSS via\n `` unless otherwise\n specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project\n files:\n ```ts\n import {\n readFile,\n serveFile,\n } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async (c) => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n\n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to\n see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:**\n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of\n React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with\n `export default app.fetch // This is the entry point for HTTP 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Diff · v24