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@avcodes/mi

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@avcodes/mi - npm Package Compare versions

Comparing version
1.7.9
 to
1.7.10
+2
-2
index.mjs

@@ -27,3 +27,3 @@ #!/usr/bin/env node

// ─ Send streaming chat completion request ─
await loadTools(); const response = await fetch(`${(process.env.OPENAI_BASE_URL || 'https://api.openai.com').replace(/\/+$/, '')}/v1/chat/completions`, { method: 'POST', headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${process.env.OPENAI_API_KEY}` }, body: JSON.stringify({ model: process.env.MODEL || 'gpt-5.4', messages, tools: toolSchemas, stream: true, ...(process.env.REASONING_EFFORT && { reasoning_effort: process.env.REASONING_EFFORT }) }) });
await loadTools(); const response = await fetch(`${(process.env.OPENAI_BASE_URL || 'https://api.openai.com').replace(/\/+$/, '')}/v1/chat/completions`, { method: 'POST', headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${process.env.OPENAI_API_KEY}` }, body: JSON.stringify({ model: process.env.MODEL || 'gpt-5.4', messages, tools: toolSchemas, stream: true, ...(process.env.REASONING_EFFORT && { reasoning_effort: process.env.REASONING_EFFORT }), ...(process.env.MI_API_PARAMS && JSON.parse(process.env.MI_API_PARAMS)) }) });
if (!response.ok) { const body = await response.json().catch(() => ({})); throw new Error(body.error?.message || `HTTP ${response.status}`); }

@@ -61,3 +61,3 @@

const ver = JSON.parse(readFileSync(`${DIR}package.json`, 'utf8')).version; if (['-v','--version'].some(f => process.argv.includes(f))) { console.log(ver); process.exit(0); } if (['-h','--help'].some(f => process.argv.includes(f))) { console.log(`mi ${ver}\n\nusage: mi [-p prompt] [-f file] [--sandbox] [-v]\n\nmodes:\n mi -p "prompt" one-shot\n echo "..." | mi pipe\n mi repl (/reset, /new, /clear all reset history)\n\nflags:\n -p <prompt> run prompt and exit\n -f <file> attach file to context\n --sandbox run in docker\n -v, --version print version\n -h, --help show this help\n\nenv: OPENAI_API_KEY MODEL OPENAI_BASE_URL REASONING_EFFORT SYSTEM_PROMPT MI_HOME MI_IMAGE`); process.exit(0); }
const ver = JSON.parse(readFileSync(`${DIR}package.json`, 'utf8')).version; if (['-v','--version'].some(f => process.argv.includes(f))) { console.log(ver); process.exit(0); } if (['-h','--help'].some(f => process.argv.includes(f))) { console.log(`mi ${ver}\n\nusage: mi [-p prompt] [-f file] [--sandbox] [-v]\n\nmodes:\n mi -p "prompt" one-shot\n echo "..." | mi pipe\n mi repl (/reset, /new, /clear all reset history)\n\nflags:\n -p <prompt> run prompt and exit\n -f <file> attach file to context\n --sandbox run in docker\n -v, --version print version\n -h, --help show this help\n\nenv: OPENAI_API_KEY MODEL OPENAI_BASE_URL REASONING_EFFORT SYSTEM_PROMPT MI_HOME MI_IMAGE MI_API_PARAMS`); process.exit(0); }

@@ -64,0 +64,0 @@ // Append -f file contents, AGENTS.md (auto-ingested repo context), and skill summaries to system message.

+1
-1
package.json
{
"name": "@avcodes/mi",
"version": "1.7.9",
"version": "1.7.10",
"description": "agentic coding in 30 loc. a loop, two tools, and an llm.",

@@ -5,0 +5,0 @@ "type": "module",

+1
-0
README.md

@@ -91,2 +91,3 @@ [![mi video](https://img.youtube.com/vi/JdMBn7FXilg/maxresdefault.jpg)](https://www.youtube.com/watch?v=JdMBn7FXilg)

| `MI_SANDBOX` | (unset) | truthy = always run in Docker container |
| `MI_API_PARAMS` | (unset) | JSON object merged into chat completion payload (e.g. `{"temperature":0}`) |
| `MI_IMAGE` | `ghcr.io/av/mi:latest` | docker image for sandbox mode |

@@ -93,0 +94,0 @@