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fix: install pandas and numpy beforehand to avoid version mismatch (#1735)

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As titled, due to the recent upgrade of colab. 
Pandas was out of sync with numpy breaking `llama stack build` in colab
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Hardik Shah 2025-03-20 17:14:05 -07:00 • committed by GitHub
parent 6104bd06a0
commit 5b9c366614
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1 changed files with 16 additions and 12 deletions
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28
docs/getting_started.ipynb
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@ -123,6 +123,11 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# NBVAL_SKIP\n", "# NBVAL_SKIP\n",
"\n",
"# Need to install these together beforehand else it an lead to incompatible versions between these packages\n",
"!pip uninstall pandas numpy -y\n",
"!pip install pandas numpy\n",
"\n",
"# This will build all the dependencies you will need\n", "# This will build all the dependencies you will need\n",
"!UV_SYSTEM_PYTHON=1 llama stack build --template together --image-type venv" "!UV_SYSTEM_PYTHON=1 llama stack build --template together --image-type venv"
] ]
@ -1636,7 +1641,7 @@
"from termcolor import cprint\n", "from termcolor import cprint\n",
"\n", "\n",
"agent = Agent(\n", "agent = Agent(\n",
" client, \n", " client,\n",
" model=model_id,\n", " model=model_id,\n",
" instructions=\"You are a helpful assistant. Use websearch tool to help answer questions.\",\n", " instructions=\"You are a helpful assistant. Use websearch tool to help answer questions.\",\n",
" tools=[\"builtin::websearch\"],\n", " tools=[\"builtin::websearch\"],\n",
@ -1833,7 +1838,7 @@
" chunk_size_in_tokens=512,\n", " chunk_size_in_tokens=512,\n",
")\n", ")\n",
"rag_agent = Agent(\n", "rag_agent = Agent(\n",
" client, \n", " client,\n",
" model=model_id,\n", " model=model_id,\n",
" instructions=\"You are a helpful assistant\",\n", " instructions=\"You are a helpful assistant\",\n",
" tools = [\n", " tools = [\n",
@ -1969,7 +1974,7 @@
"from llama_stack_client import Document\n", "from llama_stack_client import Document\n",
"\n", "\n",
"codex_agent = Agent(\n", "codex_agent = Agent(\n",
" client, \n", " client,\n",
" model=\"meta-llama/Llama-3.1-8B-Instruct\",\n", " model=\"meta-llama/Llama-3.1-8B-Instruct\",\n",
" instructions=\"You are a helpful assistant\",\n", " instructions=\"You are a helpful assistant\",\n",
" tools=[\n", " tools=[\n",
@ -2480,7 +2485,6 @@
}, },
{ {
"data": { "data": {
"application/javascript": "\n (async () => {\n const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n const iframe = document.createElement('iframe');\n iframe.src = url;\n iframe.setAttribute('width', '100%');\n iframe.setAttribute('height', '800');\n iframe.setAttribute('frameborder', 0);\n document.body.appendChild(iframe);\n })();\n ",
"text/plain": [ "text/plain": [
"<IPython.core.display.Javascript object>" "<IPython.core.display.Javascript object>"
] ]
@ -2892,7 +2896,7 @@
"from termcolor import cprint\n", "from termcolor import cprint\n",
"\n", "\n",
"agent = Agent(\n", "agent = Agent(\n",
" client, \n", " client,\n",
" model=model_id,\n", " model=model_id,\n",
" instructions=\"You are a helpful assistant\",\n", " instructions=\"You are a helpful assistant\",\n",
" tools=[\"mcp::filesystem\"],\n", " tools=[\"mcp::filesystem\"],\n",
@ -2992,7 +2996,7 @@
"from llama_stack_client import Agent, AgentEventLogger\n", "from llama_stack_client import Agent, AgentEventLogger\n",
"\n", "\n",
"agent = Agent(\n", "agent = Agent(\n",
" client, \n", " client,\n",
" model=\"meta-llama/Llama-3.3-70B-Instruct\",\n", " model=\"meta-llama/Llama-3.3-70B-Instruct\",\n",
" instructions=\"You are a helpful assistant. Use search tool to answer the questions. \",\n", " instructions=\"You are a helpful assistant. Use search tool to answer the questions. \",\n",
" tools=[\"builtin::websearch\"],\n", " tools=[\"builtin::websearch\"],\n",
@ -4323,7 +4327,7 @@
], ],
"source": [ "source": [
"agent = Agent(\n", "agent = Agent(\n",
" client, \n", " client,\n",
" model=vision_model_id,\n", " model=vision_model_id,\n",
" instructions=\"You are a helpful assistant\",\n", " instructions=\"You are a helpful assistant\",\n",
")\n", ")\n",
@ -4351,8 +4355,7 @@
")\n", ")\n",
"\n", "\n",
"for log in EventLogger().log(response):\n", "for log in EventLogger().log(response):\n",
" log.print()\n", " log.print()\n"
" "
] ]
}, },
{ {
@ -4370,6 +4373,9 @@
"gpuType": "T4", "gpuType": "T4",
"provenance": [] "provenance": []
}, },
"fileHeader": "",
"fileUid": "e07d15da-69ef-456e-b4d6-f15fde511281",
"isAdHoc": false,
"kernelspec": { "kernelspec": {
"display_name": "master", "display_name": "master",
"language": "python", "language": "python",
@ -9863,7 +9869,5 @@
} }
} }
} }
}, }
"nbformat": 4,
"nbformat_minor": 5
} }