docs: add Pydantic AI notebook example

Author: gustavocidornelas

examples/tracing/pydantic-ai/pydantic_ai_tracing.ipynb

@@ -0,0 +1,131 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2722b419",
+   "metadata": {},
+   "source": [
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openlayer-ai/openlayer-python/blob/main/examples/tracing/pydantic-ai/pydantic_ai_tracing.ipynb)\n",
+    "\n",
+    "\n",
+    "# <a id=\"top\">Pydantic AI quickstart</a>\n",
+    "\n",
+    "This notebook shows how to trace Pydantic AI Agents with Openlayer. The integration is done via the Openlayer's [OpenTelemetry endpoint](https://www.openlayer.com/docs/integrations/opentelemetry)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "020c8f6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install pydantic-ai logfire"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75c2a473",
+   "metadata": {},
+   "source": [
+    "## 1. Set the environment variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "f3f4fa13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "os.environ[\"OPENAI_API_KEY\"] = \"YOUR_OPENAI_API_KEY_HERE\"\n",
+    "\n",
+    "os.environ[\"OTEL_EXPORTER_OTLP_ENDPOINT\"] = \"https://api.openlayer.com/v1/otel\"\n",
+    "os.environ[\"OTEL_EXPORTER_OTLP_HEADERS\"] = \"Authorization=Bearer YOUR_OPENLAYER_API_KEY_HERE, x-bt-parent=pipeline_id:YOUR_OPENLAYER_PIPELINE_ID_HERE\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9758533f",
+   "metadata": {},
+   "source": [
+    "## 2. Configure Logfire instrumentation (used by Pydantic AI)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c35d9860-dc41-4f7c-8d69-cc2ac7e5e485",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import logfire\n",
+    "\n",
+    "logfire.configure(send_to_logfire=False)\n",
+    "logfire.instrument_pydantic_ai()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72a6b954",
+   "metadata": {},
+   "source": [
+    "## 3. Use Agents as usual\n",
+    "\n",
+    "That's it! Now you can continue using Agents as usual. The trace data is automatically exported to Openlayer and you can start creating tests around it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "e00c1c79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pydantic_ai import Agent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "253a3ac8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "agent = Agent('openai:gpt-4o')\n",
+    "result = await agent.run('What is the capital of France?')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1c37cfe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "crewai-test",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}