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added imports to run Agent-SDK with Gemini API #12

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added imports to run Agent-SDK with Gemini API #12

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156 changes: 79 additions & 77 deletions 00_openai_agents/01_hello_agent/hello_agent.ipynb
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Original file line number Diff line number Diff line change
@@ -1,72 +1,65 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Install openai-agents SDK"
],
"metadata": {
"id": "PdKwzEluDBN7"
}
},
"source": [
"# Install openai-agents SDK"
]
},
{
"cell_type": "code",
"source": [
"!pip install -Uq openai-agents"
],
"execution_count": 4,
"metadata": {
"id": "3QdkOviEB2ay"
},
"execution_count": 4,
"outputs": []
"outputs": [],
"source": [
"!pip install -Uq openai-agents"
]
},
{
"cell_type": "markdown",
"source": [
"# Make your Jupyter Notebook capable of running asynchronous functions."
],
"metadata": {
"id": "7yD91lz4DIAx"
}
},
"source": [
"# Make your Jupyter Notebook capable of running asynchronous functions."
]
},
{
"cell_type": "code",
"source": [
"import nest_asyncio\n",
"nest_asyncio.apply()"
],
"execution_count": 6,
"metadata": {
"id": "7A5YLi3HCfBV"
},
"execution_count": 6,
"outputs": []
"outputs": [],
"source": [
"import nest_asyncio\n",
"nest_asyncio.apply()"
]
},
{
"cell_type": "markdown",
"source": [
"# Run Google Gemini with OPENAI-Agent SDK"
],
"metadata": {
"id": "K3VTUWDaGFcV"
}
},
"source": [
"# Run Google Gemini with OPENAI-Agent SDK"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "QSIWS6RvC-a4"
},
"outputs": [],
"source": [
"from google.colab import userdata \n",
"from agents import AsyncOpenAI, OpenAIChatCompletionsModel, RunConfig # imports from agents-sdk required to run below code \n",
"gemini_api_key = userdata.get(\"GEMINI_API_KEY\")\n",
"\n",
"\n",
Expand All @@ -90,23 +83,18 @@
" model_provider=external_client,\n",
" tracing_disabled=True\n",
")"
],
"metadata": {
"id": "QSIWS6RvC-a4"
},
"execution_count": null,
"outputs": []
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eTyY2o8yHqZ_"
},
"source": [
"# Hello world code | method one\n",
"\n",
"\n"
],
"metadata": {
"id": "eTyY2o8yHqZ_"
}
]
},
{
"cell_type": "code",
Expand All @@ -120,8 +108,8 @@
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"CALLING AGENT\n",
Expand Down Expand Up @@ -152,15 +140,35 @@
},
{
"cell_type": "markdown",
"source": [
"# Hello world code | method two\n"
],
"metadata": {
"id": "p_x578x2JC0c"
}
},
"source": [
"# Hello world code | method two\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xdkrSYWrH4CE",
"outputId": "e2a2f181-6a2a-4410-882d-cd0bd0cb4584"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Function calls self,\n",
"Repeating until it stops,\n",
"Base case breaks the loop.\n",
"\n"
]
}
],
"source": [
"import asyncio\n",
"\n",
Expand All @@ -182,36 +190,30 @@
"\n",
"if __name__ == \"__main__\":\n",
" asyncio.run(main())"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xdkrSYWrH4CE",
"outputId": "e2a2f181-6a2a-4410-882d-cd0bd0cb4584"
},
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Function calls self,\n",
"Repeating until it stops,\n",
"Base case breaks the loop.\n",
"\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"execution_count": null,
"metadata": {
"id": "pTNf1noxCRi-"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
]
}
},
"nbformat": 4,
"nbformat_minor": 0
}