feat: feat: add Groq tracer

examples/tracing/groq/groq_tracing.ipynb

@@ -0,0 +1,140 @@
+{
+ "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/groq/groq_tracing.ipynb)\n",
+    "\n",
+    "\n",
+    "# <a id=\"top\">Groq tracing</a>\n",
+    "\n",
+    "This notebook illustrates how to trace Groq LLM calls with Openlayer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "020c8f6a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install groq openlayer"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75c2a473",
+   "metadata": {},
+   "source": [
+    "## 1. Set the environment variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3f4fa13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "# Groq env variables\n",
+    "os.environ[\"GROQ_API_KEY\"] = \"YOUR_GROQ_API_KEY_HERE\"\n",
+    "\n",
+    "# Openlayer env variables\n",
+    "os.environ[\"OPENLAYER_API_KEY\"] = \"YOUR_OPENLAYER_API_KEY_HERE\"\n",
+    "os.environ[\"OPENLAYER_INFERENCE_PIPELINE_ID\"] = \"YOUR_OPENLAYER_INFERENCE_PIPELINE_ID_HERE\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9758533f",
+   "metadata": {},
+   "source": [
+    "## 2. Import the `trace_groq` function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c35d9860-dc41-4f7c-8d69-cc2ac7e5e485",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import groq\n",
+    "from openlayer.lib import trace_groq\n",
+    "\n",
+    "groq_client = trace_groq(groq.Groq())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72a6b954",
+   "metadata": {},
+   "source": [
+    "## 3. Use the traced Groq client normally"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76a350b4",
+   "metadata": {},
+   "source": [
+    "That's it! Now you can continue using the traced Groq client normally. The data is automatically published to Openlayer and you can start creating tests around it!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e00c1c79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chat_completion = groq_client.chat.completions.create(\n",
+    "    messages=[\n",
+    "        {\n",
+    "            \"role\": \"system\",\n",
+    "            \"content\": \"You are a helpful assistant.\"\n",
+    "        },\n",
+    "        {\n",
+    "            \"role\": \"user\",\n",
+    "            \"content\": \"Explain the importance of fast language models\",\n",
+    "        }\n",
+    "    ],\n",
+    "    model=\"llama3-8b-8192\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd2cd65d-1b22-4f5d-b5cb-7700e036b863",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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
+}

src/openlayer/lib/__init__.py

@@ -1,7 +1,14 @@
 """Openlayer lib.
 """
 
-__all__ = ["trace", "trace_anthropic", "trace_openai", "trace_openai_assistant_thread_run", "trace_mistral"]
+__all__ = [
+    "trace",
+    "trace_anthropic",
+    "trace_openai",
+    "trace_openai_assistant_thread_run",
+    "trace_mistral",
+    "trace_groq",
+]
 
 # ---------------------------------- Tracing --------------------------------- #
 from .tracing import tracer
@@ -51,3 +58,15 @@ def trace_mistral(client):
     if not isinstance(client, mistralai.Mistral):
         raise ValueError("Invalid client. Please provide a Mistral client.")
     return mistral_tracer.trace_mistral(client)
+
+
+def trace_groq(client):
+    """Trace Groq queries."""
+    # pylint: disable=import-outside-toplevel
+    import groq
+
+    from .integrations import groq_tracer
+
+    if not isinstance(client, groq.Groq):
+        raise ValueError("Invalid client. Please provide a Groq client.")
+    return groq_tracer.trace_groq(client)