mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-12 04:00:42 +00:00
removing static files and updating script
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
parent
255cc90296
commit
5b41e0d65c
7 changed files with 58 additions and 243 deletions
1
.gitignore
vendored
1
.gitignore
vendored
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@ -31,3 +31,4 @@ CLAUDE.md
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.claude/
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.claude/
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docs/.docusaurus/
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docs/.docusaurus/
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docs/node_modules/
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docs/node_modules/
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docs/static/imported-files/
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@ -34,7 +34,7 @@ Now open up a new terminal and copy the following script into a file named `demo
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import CodeFromFile from '@site/src/components/CodeFromFile';
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import CodeFromFile from '@site/src/components/CodeFromFile';
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<CodeFromFile src="demo_script.py" title="demo_script.py" />
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<CodeFromFile src="docs/docs/getting_started/demo_script.py" title="demo_script.py" />
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We will use `uv` to run the script
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We will use `uv` to run the script
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```
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```
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uv run --with llama-stack-client,fire,requests demo_script.py
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uv run --with llama-stack-client,fire,requests demo_script.py
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@ -222,6 +222,7 @@ const config: Config = {
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} satisfies Preset.ThemeConfig,
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} satisfies Preset.ThemeConfig,
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plugins: [
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plugins: [
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require.resolve('./plugins/file-sync-plugin'),
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[
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[
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"docusaurus-plugin-openapi-docs",
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"docusaurus-plugin-openapi-docs",
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{
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{
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@ -47,6 +47,57 @@ function trackFileUsage(filePath) {
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}
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}
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}
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}
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// Filter content based on file type and options
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function filterContent(content, filePath) {
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let lines = content.split('\n');
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// Skip copyright header for Python files
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if (filePath.endsWith('.py')) {
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// Read the license header file
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const licenseHeaderPath = path.join(repoRoot, 'docs', 'license_header.txt');
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if (fs.existsSync(licenseHeaderPath)) {
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try {
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const licenseText = fs.readFileSync(licenseHeaderPath, 'utf8');
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const licenseLines = licenseText.trim().split('\n');
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// Check if file starts with the license header (accounting for # comments)
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if (lines.length >= licenseLines.length) {
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let matches = true;
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for (let i = 0; i < licenseLines.length; i++) {
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const codeLine = lines[i]?.replace(/^#\s*/, '').trim();
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const licenseLine = licenseLines[i]?.trim();
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if (codeLine !== licenseLine) {
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matches = false;
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break;
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}
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}
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if (matches) {
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// Skip the license header and any trailing empty lines
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let skipTo = licenseLines.length;
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while (skipTo < lines.length && lines[skipTo].trim() === '') {
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skipTo++;
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}
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lines = lines.slice(skipTo);
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}
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}
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} catch (error) {
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console.warn(`Could not read license header, skipping filtering for ${filePath}`);
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}
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}
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}
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// Trim empty lines from start and end
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while (lines.length > 0 && lines[0].trim() === '') {
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lines.shift();
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}
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while (lines.length > 0 && lines[lines.length - 1].trim() === '') {
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lines.pop();
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}
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return lines.join('\n');
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}
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// Sync a file from repo root to static directory
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// Sync a file from repo root to static directory
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function syncFile(filePath) {
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function syncFile(filePath) {
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const sourcePath = path.join(repoRoot, filePath);
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const sourcePath = path.join(repoRoot, filePath);
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@ -61,7 +112,8 @@ function syncFile(filePath) {
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try {
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try {
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if (fs.existsSync(sourcePath)) {
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if (fs.existsSync(sourcePath)) {
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const content = fs.readFileSync(sourcePath, 'utf8');
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const content = fs.readFileSync(sourcePath, 'utf8');
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fs.writeFileSync(destPath, content);
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const filteredContent = filterContent(content, filePath);
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fs.writeFileSync(destPath, filteredContent);
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console.log(`✅ Synced ${filePath}`);
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console.log(`✅ Synced ${filePath}`);
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trackFileUsage(filePath);
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trackFileUsage(filePath);
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return true;
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return true;
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@ -15,33 +15,7 @@ export default function CodeFromFile({
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useEffect(() => {
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useEffect(() => {
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async function loadFile() {
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async function loadFile() {
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try {
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try {
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// Register this file for syncing (build-time only)
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// File registration is now handled by the file-sync-plugin during build
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if (typeof window === 'undefined') {
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// This runs during build - register the file
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const fs = require('fs');
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const path = require('path');
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const usageFile = path.join(process.cwd(), 'static', 'imported-files', 'usage.json');
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const usageDir = path.dirname(usageFile);
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if (!fs.existsSync(usageDir)) {
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fs.mkdirSync(usageDir, { recursive: true });
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}
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let usage = { files: [] };
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if (fs.existsSync(usageFile)) {
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try {
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usage = JSON.parse(fs.readFileSync(usageFile, 'utf8'));
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} catch (error) {
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console.warn('Could not read existing usage file');
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}
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}
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if (!usage.files.includes(src)) {
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usage.files.push(src);
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fs.writeFileSync(usageFile, JSON.stringify(usage, null, 2));
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}
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}
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// Load file from static/imported-files directory
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// Load file from static/imported-files directory
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const response = await fetch(`/imported-files/${src}`);
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const response = await fetch(`/imported-files/${src}`);
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@ -50,7 +24,7 @@ export default function CodeFromFile({
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}
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}
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let text = await response.text();
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let text = await response.text();
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// Handle line range if specified
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// Handle line range if specified (filtering is done at build time)
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if (startLine || endLine) {
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if (startLine || endLine) {
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const lines = text.split('\n');
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const lines = text.split('\n');
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const start = startLine ? Math.max(0, startLine - 1) : 0;
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const start = startLine ? Math.max(0, startLine - 1) : 0;
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207
docs/static/imported-files/README.md
vendored
207
docs/static/imported-files/README.md
vendored
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@ -1,207 +0,0 @@
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# Llama Stack
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[](https://pypi.org/project/llama_stack/)
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[](https://pypi.org/project/llama-stack/)
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[](https://github.com/meta-llama/llama-stack/blob/main/LICENSE)
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[](https://discord.gg/llama-stack)
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[](https://github.com/meta-llama/llama-stack/actions/workflows/unit-tests.yml?query=branch%3Amain)
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[](https://github.com/meta-llama/llama-stack/actions/workflows/integration-tests.yml?query=branch%3Amain)
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[**Quick Start**](https://llamastack.github.io/docs/getting_started/quickstart) | [**Documentation**](https://llamastack.github.io/docs) | [**Colab Notebook**](./docs/getting_started.ipynb) | [**Discord**](https://discord.gg/llama-stack)
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### ✨🎉 Llama 4 Support 🎉✨
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We released [Version 0.2.0](https://github.com/meta-llama/llama-stack/releases/tag/v0.2.0) with support for the Llama 4 herd of models released by Meta.
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<details>
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<summary>👋 Click here to see how to run Llama 4 models on Llama Stack </summary>
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\
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*Note you need 8xH100 GPU-host to run these models*
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```bash
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pip install -U llama_stack
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MODEL="Llama-4-Scout-17B-16E-Instruct"
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# get meta url from llama.com
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huggingface-cli download meta-llama/$MODEL --local-dir ~/.llama/$MODEL
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# start a llama stack server
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INFERENCE_MODEL=meta-llama/$MODEL llama stack build --run --template meta-reference-gpu
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# install client to interact with the server
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pip install llama-stack-client
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```
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### CLI
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```bash
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# Run a chat completion
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MODEL="Llama-4-Scout-17B-16E-Instruct"
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llama-stack-client --endpoint http://localhost:8321 \
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inference chat-completion \
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--model-id meta-llama/$MODEL \
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--message "write a haiku for meta's llama 4 models"
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OpenAIChatCompletion(
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...
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choices=[
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OpenAIChatCompletionChoice(
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finish_reason='stop',
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index=0,
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message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(
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role='assistant',
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content='...**Silent minds awaken,** \n**Whispers of billions of words,** \n**Reasoning breaks the night.** \n\n— \n*This haiku blends the essence of LLaMA 4\'s capabilities with nature-inspired metaphor, evoking its vast training data and transformative potential.*',
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...
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),
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...
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)
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],
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...
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)
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```
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### Python SDK
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```python
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from llama_stack_client import LlamaStackClient
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client = LlamaStackClient(base_url=f"http://localhost:8321")
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model_id = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
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prompt = "Write a haiku about coding"
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print(f"User> {prompt}")
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response = client.chat.completions.create(
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model=model_id,
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt},
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],
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)
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print(f"Assistant> {response.choices[0].message.content}")
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```
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As more providers start supporting Llama 4, you can use them in Llama Stack as well. We are adding to the list. Stay tuned!
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</details>
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### 🚀 One-Line Installer 🚀
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To try Llama Stack locally, run:
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```bash
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curl -LsSf https://github.com/meta-llama/llama-stack/raw/main/scripts/install.sh | bash
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```
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### Overview
|
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Llama Stack standardizes the core building blocks that simplify AI application development. It codifies best practices across the Llama ecosystem. More specifically, it provides
|
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- **Unified API layer** for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
|
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- **Plugin architecture** to support the rich ecosystem of different API implementations in various environments, including local development, on-premises, cloud, and mobile.
|
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- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment.
|
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- **Multiple developer interfaces** like CLI and SDKs for Python, Typescript, iOS, and Android.
|
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- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack.
|
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<div style="text-align: center;">
|
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<img
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src="https://github.com/user-attachments/assets/33d9576d-95ea-468d-95e2-8fa233205a50"
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width="480"
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title="Llama Stack"
|
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alt="Llama Stack"
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/>
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</div>
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### Llama Stack Benefits
|
|
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- **Flexible Options**: Developers can choose their preferred infrastructure without changing APIs and enjoy flexible deployment choices.
|
|
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- **Consistent Experience**: With its unified APIs, Llama Stack makes it easier to build, test, and deploy AI applications with consistent application behavior.
|
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- **Robust Ecosystem**: Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies) that offer tailored infrastructure, software, and services for deploying Llama models.
|
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|
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By reducing friction and complexity, Llama Stack empowers developers to focus on what they do best: building transformative generative AI applications.
|
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|
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### API Providers
|
|
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Here is a list of the various API providers and available distributions that can help developers get started easily with Llama Stack.
|
|
||||||
Please checkout for [full list](https://llamastack.github.io/docs/providers)
|
|
||||||
|
|
||||||
| API Provider Builder | Environments | Agents | Inference | VectorIO | Safety | Telemetry | Post Training | Eval | DatasetIO |
|
|
||||||
|:--------------------:|:------------:|:------:|:---------:|:--------:|:------:|:---------:|:-------------:|:----:|:--------:|
|
|
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| Meta Reference | Single Node | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
|
|
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| SambaNova | Hosted | | ✅ | | ✅ | | | | |
|
|
||||||
| Cerebras | Hosted | | ✅ | | | | | | |
|
|
||||||
| Fireworks | Hosted | ✅ | ✅ | ✅ | | | | | |
|
|
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| AWS Bedrock | Hosted | | ✅ | | ✅ | | | | |
|
|
||||||
| Together | Hosted | ✅ | ✅ | | ✅ | | | | |
|
|
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| Groq | Hosted | | ✅ | | | | | | |
|
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| Ollama | Single Node | | ✅ | | | | | | |
|
|
||||||
| TGI | Hosted/Single Node | | ✅ | | | | | | |
|
|
||||||
| NVIDIA NIM | Hosted/Single Node | | ✅ | | ✅ | | | | |
|
|
||||||
| ChromaDB | Hosted/Single Node | | | ✅ | | | | | |
|
|
||||||
| Milvus | Hosted/Single Node | | | ✅ | | | | | |
|
|
||||||
| Qdrant | Hosted/Single Node | | | ✅ | | | | | |
|
|
||||||
| Weaviate | Hosted/Single Node | | | ✅ | | | | | |
|
|
||||||
| SQLite-vec | Single Node | | | ✅ | | | | | |
|
|
||||||
| PG Vector | Single Node | | | ✅ | | | | | |
|
|
||||||
| PyTorch ExecuTorch | On-device iOS | ✅ | ✅ | | | | | | |
|
|
||||||
| vLLM | Single Node | | ✅ | | | | | | |
|
|
||||||
| OpenAI | Hosted | | ✅ | | | | | | |
|
|
||||||
| Anthropic | Hosted | | ✅ | | | | | | |
|
|
||||||
| Gemini | Hosted | | ✅ | | | | | | |
|
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| WatsonX | Hosted | | ✅ | | | | | | |
|
|
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| HuggingFace | Single Node | | | | | | ✅ | | ✅ |
|
|
||||||
| TorchTune | Single Node | | | | | | ✅ | | |
|
|
||||||
| NVIDIA NEMO | Hosted | | ✅ | ✅ | | | ✅ | ✅ | ✅ |
|
|
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| NVIDIA | Hosted | | | | | | ✅ | ✅ | ✅ |
|
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|
|
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> **Note**: Additional providers are available through external packages. See [External Providers](https://llamastack.github.io/docs/providers/external) documentation.
|
|
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|
|
||||||
### Distributions
|
|
||||||
|
|
||||||
A Llama Stack Distribution (or "distro") is a pre-configured bundle of provider implementations for each API component. Distributions make it easy to get started with a specific deployment scenario - you can begin with a local development setup (eg. ollama) and seamlessly transition to production (eg. Fireworks) without changing your application code.
|
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Here are some of the distributions we support:
|
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|
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| **Distribution** | **Llama Stack Docker** | Start This Distribution |
|
|
||||||
|:---------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------:|
|
|
||||||
| Starter Distribution | [llamastack/distribution-starter](https://hub.docker.com/repository/docker/llamastack/distribution-starter/general) | [Guide](https://llamastack.github.io/latest/distributions/self_hosted_distro/starter.html) |
|
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| Meta Reference | [llamastack/distribution-meta-reference-gpu](https://hub.docker.com/repository/docker/llamastack/distribution-meta-reference-gpu/general) | [Guide](https://llamastack.github.io/latest/distributions/self_hosted_distro/meta-reference-gpu.html) |
|
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| PostgreSQL | [llamastack/distribution-postgres-demo](https://hub.docker.com/repository/docker/llamastack/distribution-postgres-demo/general) | |
|
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|
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### Documentation
|
|
||||||
|
|
||||||
Please checkout our [Documentation](https://llamastack.github.io/latest/index.html) page for more details.
|
|
||||||
|
|
||||||
* CLI references
|
|
||||||
* [llama (server-side) CLI Reference](https://llamastack.github.io/latest/references/llama_cli_reference/index.html): Guide for using the `llama` CLI to work with Llama models (download, study prompts), and building/starting a Llama Stack distribution.
|
|
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* [llama (client-side) CLI Reference](https://llamastack.github.io/latest/references/llama_stack_client_cli_reference.html): Guide for using the `llama-stack-client` CLI, which allows you to query information about the distribution.
|
|
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* Getting Started
|
|
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* [Quick guide to start a Llama Stack server](https://llamastack.github.io/latest/getting_started/index.html).
|
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* [Jupyter notebook](./docs/getting_started.ipynb) to walk-through how to use simple text and vision inference llama_stack_client APIs
|
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* The complete Llama Stack lesson [Colab notebook](https://colab.research.google.com/drive/1dtVmxotBsI4cGZQNsJRYPrLiDeT0Wnwt) of the new [Llama 3.2 course on Deeplearning.ai](https://learn.deeplearning.ai/courses/introducing-multimodal-llama-3-2/lesson/8/llama-stack).
|
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* A [Zero-to-Hero Guide](https://github.com/meta-llama/llama-stack/tree/main/docs/zero_to_hero_guide) that guide you through all the key components of llama stack with code samples.
|
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* [Contributing](CONTRIBUTING.md)
|
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* [Adding a new API Provider](https://llamastack.github.io/latest/contributing/new_api_provider.html) to walk-through how to add a new API provider.
|
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|
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### Llama Stack Client SDKs
|
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|
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| **Language** | **Client SDK** | **Package** |
|
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| :----: | :----: | :----: |
|
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| Python | [llama-stack-client-python](https://github.com/meta-llama/llama-stack-client-python) | [](https://pypi.org/project/llama_stack_client/)
|
|
||||||
| Swift | [llama-stack-client-swift](https://github.com/meta-llama/llama-stack-client-swift) | [](https://swiftpackageindex.com/meta-llama/llama-stack-client-swift)
|
|
||||||
| Typescript | [llama-stack-client-typescript](https://github.com/meta-llama/llama-stack-client-typescript) | [](https://npmjs.org/package/llama-stack-client)
|
|
||||||
| Kotlin | [llama-stack-client-kotlin](https://github.com/meta-llama/llama-stack-client-kotlin) | [](https://central.sonatype.com/artifact/com.llama.llamastack/llama-stack-client-kotlin)
|
|
||||||
|
|
||||||
Check out our client SDKs for connecting to a Llama Stack server in your preferred language, you can choose from [python](https://github.com/meta-llama/llama-stack-client-python), [typescript](https://github.com/meta-llama/llama-stack-client-typescript), [swift](https://github.com/meta-llama/llama-stack-client-swift), and [kotlin](https://github.com/meta-llama/llama-stack-client-kotlin) programming languages to quickly build your applications.
|
|
||||||
|
|
||||||
You can find more example scripts with client SDKs to talk with the Llama Stack server in our [llama-stack-apps](https://github.com/meta-llama/llama-stack-apps/tree/main/examples) repo.
|
|
||||||
|
|
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|
|
||||||
## 🌟 GitHub Star History
|
|
||||||
## Star History
|
|
||||||
|
|
||||||
[](https://www.star-history.com/#meta-llama/llama-stack&Date)
|
|
||||||
|
|
||||||
## ✨ Contributors
|
|
||||||
|
|
||||||
Thanks to all of our amazing contributors!
|
|
||||||
|
|
||||||
<a href="https://github.com/meta-llama/llama-stack/graphs/contributors">
|
|
||||||
<img src="https://contrib.rocks/image?repo=meta-llama/llama-stack" />
|
|
||||||
</a>
|
|
||||||
6
docs/static/imported-files/usage.json
vendored
6
docs/static/imported-files/usage.json
vendored
|
|
@ -1,6 +0,0 @@
|
||||||
{
|
|
||||||
"files": [
|
|
||||||
"docs/getting_started/demo_script.py",
|
|
||||||
"README.md"
|
|
||||||
]
|
|
||||||
}
|
|
||||||
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