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docs: update documentation links (#3459)
# What does this PR do? * Updates documentation links from readthedocs to llamastack.github.io ## Test Plan * Manual testing
This commit is contained in:
Alexey Rybak
GitHub
parent
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commit
9fe8097ca4
21 changed files with 997 additions and 993 deletions
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@ -11,11 +11,11 @@
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"\n",
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"# Llama Stack - Building AI Applications\n",
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"\n",
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"<img src=\"https://llama-stack.readthedocs.io/en/latest/_images/llama-stack.png\" alt=\"drawing\" width=\"500\"/>\n",
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"<img src=\"https://llamastack.github.io/latest/_images/llama-stack.png\" alt=\"drawing\" width=\"500\"/>\n",
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"\n",
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"[Llama Stack](https://github.com/meta-llama/llama-stack) defines and standardizes the set of core building blocks needed to bring generative AI applications to market. These building blocks are presented in the form of interoperable APIs with a broad set of Service Providers providing their implementations.\n",
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"\n",
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"Read more about the project here: https://llama-stack.readthedocs.io/en/latest/index.html\n",
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"Read more about the project here: https://llamastack.github.io/latest/getting_started/index.html\n",
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"\n",
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"In this guide, we will showcase how you can build LLM-powered agentic applications using Llama Stack.\n",
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"\n",
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@ -75,7 +75,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "J2kGed0R5PSf",
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"metadata": {
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"colab": {
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@ -113,17 +113,17 @@
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}
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],
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"source": [
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"import os \n",
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"import os\n",
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"import subprocess\n",
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"import time\n",
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"\n",
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"!pip install uv \n",
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"!pip install uv\n",
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"\n",
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"if \"UV_SYSTEM_PYTHON\" in os.environ:\n",
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" del os.environ[\"UV_SYSTEM_PYTHON\"]\n",
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"\n",
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"# this command installs all the dependencies needed for the llama stack server with the together inference provider\n",
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"!uv run --with llama-stack llama stack build --distro together --image-type venv \n",
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"!uv run --with llama-stack llama stack build --distro together --image-type venv\n",
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"\n",
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"def run_llama_stack_server_background():\n",
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" log_file = open(\"llama_stack_server.log\", \"w\")\n",
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@ -134,7 +134,7 @@
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" stderr=log_file,\n",
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" text=True\n",
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" )\n",
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" \n",
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"\n",
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" print(f\"Starting Llama Stack server with PID: {process.pid}\")\n",
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" return process\n",
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"\n",
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@ -142,11 +142,11 @@
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" import requests\n",
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" from requests.exceptions import ConnectionError\n",
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" import time\n",
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" \n",
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"\n",
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" url = \"http://0.0.0.0:8321/v1/health\"\n",
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" max_retries = 30\n",
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" retry_interval = 1\n",
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" \n",
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"\n",
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" print(\"Waiting for server to start\", end=\"\")\n",
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" for _ in range(max_retries):\n",
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" try:\n",
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@ -157,12 +157,12 @@
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" except ConnectionError:\n",
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" print(\".\", end=\"\", flush=True)\n",
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" time.sleep(retry_interval)\n",
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" \n",
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"\n",
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" print(\"\\nServer failed to start after\", max_retries * retry_interval, \"seconds\")\n",
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" return False\n",
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"\n",
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"\n",
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"# use this helper if needed to kill the server \n",
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"# use this helper if needed to kill the server\n",
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"def kill_llama_stack_server():\n",
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" # Kill any existing llama stack server processes\n",
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" os.system(\"ps aux | grep -v grep | grep llama_stack.core.server.server | awk '{print $2}' | xargs kill -9\")\n"
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@ -242,7 +242,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": null,
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"id": "E1UFuJC570Tk",
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"metadata": {
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"colab": {
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@ -407,9 +407,9 @@
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"from llama_stack_client import LlamaStackClient\n",
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"\n",
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"client = LlamaStackClient(\n",
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" base_url=\"http://0.0.0.0:8321\", \n",
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" base_url=\"http://0.0.0.0:8321\",\n",
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" provider_data = {\n",
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" \"tavily_search_api_key\": os.environ['TAVILY_SEARCH_API_KEY'], \n",
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" \"tavily_search_api_key\": os.environ['TAVILY_SEARCH_API_KEY'],\n",
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" \"together_api_key\": os.environ['TOGETHER_API_KEY']\n",
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" }\n",
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")"
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@ -1177,7 +1177,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": null,
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"id": "WS8Gu5b0APHs",
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"metadata": {
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"colab": {
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@ -1207,7 +1207,7 @@
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"from termcolor import cprint\n",
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"\n",
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"agent = Agent(\n",
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" client, \n",
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" client,\n",
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" model=\"meta-llama/Llama-3.3-70B-Instruct\",\n",
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" instructions=\"You are a helpful assistant. Use websearch tool to help answer questions.\",\n",
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" tools=[\"builtin::websearch\"],\n",
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@ -1249,7 +1249,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": null,
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"id": "GvLWltzZCNkg",
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"metadata": {
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"colab": {
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@ -1367,7 +1367,7 @@
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" chunk_size_in_tokens=512,\n",
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")\n",
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"rag_agent = Agent(\n",
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" client, \n",
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" client,\n",
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" model=model_id,\n",
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" instructions=\"You are a helpful assistant\",\n",
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" tools = [\n",
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@ -2154,7 +2154,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"execution_count": null,
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"id": "vttLbj_YO01f",
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"metadata": {
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"colab": {
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@ -2217,7 +2217,7 @@
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"from termcolor import cprint\n",
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"\n",
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"agent = Agent(\n",
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" client, \n",
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" client,\n",
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" model=model_id,\n",
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" instructions=\"You are a helpful assistant\",\n",
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" tools=[\"mcp::filesystem\"],\n",
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@ -2283,7 +2283,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": null,
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"id": "4iCO59kP20Zs",
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"metadata": {
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"colab": {
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@ -2317,7 +2317,7 @@
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"from llama_stack_client import Agent, AgentEventLogger\n",
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"\n",
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"agent = Agent(\n",
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" client, \n",
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" client,\n",
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" model=\"meta-llama/Llama-3.3-70B-Instruct\",\n",
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" instructions=\"You are a helpful assistant. Use web_search tool to answer the questions.\",\n",
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" tools=[\"builtin::websearch\"],\n",
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@ -2846,7 +2846,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": null,
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"id": "44e05e16",
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"metadata": {},
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"outputs": [
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@ -2880,8 +2880,7 @@
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"!curl -O https://raw.githubusercontent.com/meta-llama/llama-models/refs/heads/main/Llama_Repo.jpeg\n",
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"\n",
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"from IPython.display import Image\n",
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"Image(\"Llama_Repo.jpeg\", width=256, height=256)\n",
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"\n"
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"Image(\"Llama_Repo.jpeg\", width=256, height=256)\n"
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]
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},
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{
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