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Update Codespace with latest changes.
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‎.devcontainer/Dockerfile

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ARG VARIANT="focal"
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FROM buildpack-deps:${VARIANT}-curl
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LABEL dev.containers.features="common"
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COPY first-run-notice.txt /tmp/scripts/
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# Move first run notice to right spot
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RUN mkdir -p "/usr/local/etc/vscode-dev-containers/" \
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&& mv -f /tmp/scripts/first-run-notice.txt /usr/local/etc/vscode-dev-containers/
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# Remove scripts now that we're done with them
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RUN rm -rf /tmp/scripts

‎.devcontainer/bootstrap

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#!/bin/bash
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ROOT_DIR=/workspaces/codespaces-models
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npm install ${ROOT_DIR}
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pip install -r ${ROOT_DIR}/requirements.txt
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‎.devcontainer/devcontainer.json

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{
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"image": "mcr.microsoft.com/devcontainers/universal:2",
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"updateContentCommand": "npm install; pip install -r requirements.txt",
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"postStartCommand": "npm install; pip install -r requirements.txt",
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"build": {
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"dockerfile": "./Dockerfile",
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"context": "."
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},
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"features": {
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"ghcr.io/devcontainers/features/common-utils:2": {
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"username": "codespace",
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"userUid": "1000",
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"userGid": "1000"
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},
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"ghcr.io/devcontainers/features/node:1": {
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"version": "20"
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},
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"ghcr.io/devcontainers/features/python:1": {
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"version": "3.11.9",
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"installJupyterLab": "false"
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},
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"ghcr.io/devcontainers/features/git:1": {
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"version": "latest",
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"ppa": "false"
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},
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"ghcr.io/devcontainers/features/git-lfs:1": {
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"version": "latest"
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},
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"ghcr.io/devcontainers/features/github-cli:1": {
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"version": "latest"
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}
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},
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"overrideFeatureInstallOrder": [
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"ghcr.io/devcontainers/features/common-utils",
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"ghcr.io/devcontainers/features/git",
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"ghcr.io/devcontainers/features/node",
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"ghcr.io/devcontainers/features/python",
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"ghcr.io/devcontainers/features/git-lfs",
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"ghcr.io/devcontainers/features/github-cli"
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],
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"remoteUser": "codespace",
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"containerUser": "codespace",
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"updateContentCommand": "${containerWorkspaceFolder}/.devcontainer/bootstrap",
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"postStartCommand": "${containerWorkspaceFolder}/.devcontainer/bootstrap",
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"customizations": {
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"codespaces": {
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"disableAutomaticConfiguration": true,
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"ms-toolsai.prompty"
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],
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"settings": {
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/*
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NOTE: excluding these Python environments causes Jupyter to select the remaining environment by default
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The default environment will be: /usr/local/python/current/bin/python
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*/
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"jupyter.kernels.excludePythonEnvironments": [
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"/usr/local/python/current/bin/python3",
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"/usr/bin/python3",
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"/bin/python3"
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],
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"workbench.editorAssociations": {
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"*.md": "vscode.markdown.preview.editor"
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}
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}
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}
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}
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}
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}

‎.devcontainer/first-run-notice.txt

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👋 Welcome to your shiny new Codespace for interacting with GitHub Models! We've got everything fired up and ready for you to explore AI Models hosted on Azure AI.
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Take a look at the README to find all of the information you need to get started.
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‎.gitignore

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.vscode/
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.vscode/*
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!.vscode/extensions.json
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!.vscode/launch.json
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__pycache__/
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.env
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.DS_Store

‎.vscode/extensions.json

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{
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"unwantedRecommendations": [
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"ms-azuretools.vscode-docker"
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]
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}

‎.vscode/launch.json

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{
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"configurations": [
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{
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"name": "Run JavaScript Sample",
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"program": "${file}",
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"cwd": "${fileDirname}",
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"envFile": "${workspaceFolder}/.env",
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"outputCapture": "std",
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"request": "launch",
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"skipFiles": [
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"<node_internals>/**"
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],
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"type": "node"
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},
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{
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"name": "Run Python Sample",
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"program": "${file}",
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"cwd": "${fileDirname}",
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"envFile": "${workspaceFolder}/.env",
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"redirectOutput": false,
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"request": "launch",
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"type": "debugpy"
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}
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]
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}

‎cookbooks/python/langchain/lc_openai_getting_started.ipynb

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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.inference.ai.azure.com/\"\n",
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"\n",
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"GPT_MODEL = \"gpt-4o\"\n",
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"GPT_MODEL = \"gpt-4o-mini\"\n",
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"\n",
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"llm = ChatOpenAI(model=GPT_MODEL)"
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]
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.14"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/llamaindex/rag_getting_started.ipynb

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"\n",
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"To run RAG, you need 2 models: a chat model, and an embedding model. The GitHub Model service offers different options.\n",
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"\n",
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"For instance you could use an Azure OpenAI chat model (`gpt-4o`) and embedding model (`text-embedding-3-small`), or a Cohere chat model (`Cohere-command-r-plus`) and embedding model (`Cohere-embed-v3-multilingual`).\n",
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"For instance you could use an Azure OpenAI chat model (`gpt-4o-mini`) and embedding model (`text-embedding-3-small`), or a Cohere chat model (`Cohere-command-r-plus`) and embedding model (`Cohere-embed-v3-multilingual`).\n",
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"\n",
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"We'll proceed using some of the Azure OpenAI models below. You can find [how to leverage Cohere models in the LlamaIndex documentation](https://docs.llamaindex.ai/en/stable/examples/llm/cohere/).\n",
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"\n",
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"logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))\n",
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"\n",
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"llm = OpenAI(\n",
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" model=\"gpt-4o\",\n",
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" model=\"gpt-4o-mini\",\n",
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" api_key=os.getenv(\"OPENAI_API_KEY\"),\n",
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" api_base=os.getenv(\"OPENAI_BASE_URL\"),\n",
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")\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/mistralai/evaluation.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/mistralai/function_calling.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/mistralai/prefix_use_cases.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/mistralai/prompting_capabilities.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/openai/Data_extraction_transformation.ipynb

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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.inference.ai.azure.com/\"\n",
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"\n",
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"GPT_MODEL = \"gpt-4o\"\n",
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"GPT_MODEL = \"gpt-4o-mini\"\n",
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"\n",
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"client = OpenAI()"
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]
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" \"\"\"\n",
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" \n",
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" response = client.chat.completions.create(\n",
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" model=\"gpt-4o\",\n",
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" model=\"gpt-4o-mini\",\n",
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" response_format={ \"type\": \"json_object\" },\n",
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" messages=[\n",
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" {\n",
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" \"\"\"\n",
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" response = client.chat.completions.create(\n",
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" model=\"gpt-4o-mini\",\n",
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" response_format={ \"type\": \"json_object\" },\n",
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" {\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/openai/Developing_hallucination_guardrails.ipynb

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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.inference.ai.azure.com/\"\n",
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"\n",
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"GPT_MODEL = \"gpt-4o-mini\"\n",
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"\n",
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"client = OpenAI()"
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" {\"role\": \"assistant\", \"content\": assistant_policy_example_1},\n",
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" ],\n",
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" ]\n",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/openai/How_to_call_functions_with_chat_models.ipynb

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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"os.environ[\"OPENAI_BASE_URL\"] = \"https://models.inference.ai.azure.com/\"\n",
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"### Parallel Function Calling\n",
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"Newer models such as gpt-4o or gpt-3.5-turbo can call multiple functions in one turn."
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"Newer models such as gpt-4o-mini or gpt-3.5-turbo can call multiple functions in one turn."
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" # Step 4: Invoke the chat completions API with the function response appended to the messages list\n",
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" model_response_with_function_call = client.chat.completions.create(\n",
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"source": [
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"## Next Steps\n",
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"\n",
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"See our other notebook [Data extraction and transformation](Data_extraction_transformation.ipynb) which shows how to extract data from documents using gpt-4o."
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"See our other notebook [Data extraction and transformation](Data_extraction_transformation.ipynb) which shows how to extract data from documents using gpt-4o-mini."
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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}
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},
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"nbformat": 4,

‎cookbooks/python/openai/How_to_stream_completions.ipynb

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"os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"GITHUB_TOKEN\")\n",
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"GPT_MODEL = \"gpt-4o-mini\"\n",
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]
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"Now let's ask `gpt-4o-mini` to count to 100 again, and see how long it takes."
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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"version": "3.11.9"
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},
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"orig_nbformat": 4,
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"vscode": {

‎cookbooks/python/openai/README.md

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- [How to process image and video with GPT-4](how_to_process_image_and_video_with_gpt4o.ipynb): This notebook shows how to process images and videos with GPT-4.
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- [How to call functions with chat models](How_to_call_functions_with_chat_models.ipynb): This notebook shows how to get GPT-4o to determing which of a set of functions to call to answer a user's question.
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- [Data extraction and transformation](Data_extraction_transformation.ipynb): This notebook shows how to extract data from documents using gpt-4o.
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- [Data extraction and transformation](Data_extraction_transformation.ipynb): This notebook shows how to extract data from documents using gpt-4o-mini.
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- [How to stream completions](How_to_stream_completions.ipynb): This notebook shows detailed instructions on how to stream chat completions.
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- [Developing Hallucination Guardrails](Developing_hallucination_guardrails.ipynb): Develop an output guardrail that specifically checks model outputs for hallucinations

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