feat: add groq instrumentation (#1928)

Co-authored-by: Doron Kopit <[email protected]>

.cz.toml

@@ -6,6 +6,8 @@ major_version_zero = true
 update_changelog_on_bump = true
 version = "0.29.2"
 version_files = [
+    "packages/opentelemetry-instrumentation-groq/pyproject.toml:^version",
+    "packages/opentelemetry-instrumentation-groq/opentelemetry/instrumentation/groq/version.py",
     "packages/opentelemetry-instrumentation-alephalpha/pyproject.toml:^version",
     "packages/opentelemetry-instrumentation-alephalpha/opentelemetry/instrumentation/alephalpha/version.py",
     "packages/opentelemetry-instrumentation-anthropic/pyproject.toml:^version",

README.md

@@ -122,6 +122,7 @@ OpenLLMetry can instrument everything that [OpenTelemetry already instruments](h
 - ✅ IBM Watsonx AI
 - ✅ Together AI
 - ✅ Aleph Alpha
+- ✅ Groq
 
 ### Vector DBs
 
@@ -133,7 +134,6 @@ OpenLLMetry can instrument everything that [OpenTelemetry already instruments](h
 - ✅ Marqo
 - ✅ LanceDB
 
-
 ### Frameworks
 
 - ✅ LangChain

packages/opentelemetry-instrumentation-groq/.flake8

@@ -0,0 +1,11 @@
+[flake8]
+exclude =
+	.git,
+	__pycache__,
+	build,
+	dist,
+	.tox,
+	venv,
+	.venv,
+	.pytest_cache
+max-line-length = 120

packages/opentelemetry-instrumentation-groq/.python-version

@@ -0,0 +1 @@
+3.9.5

packages/opentelemetry-instrumentation-groq/README.md

@@ -0,0 +1,33 @@
+# OpenTelemetry Groq Instrumentation
+
+<a href="https://pypi.org/project/opentelemetry-instrumentation-groq/">
+    <img src="https://badge.fury.io/py/opentelemetry-instrumentation-groq.svg">
+</a>
+
+This library allows tracing Groq prompts and completions sent with the official [Groq SDK](https://github.com/groq/groq-python).
+
+## Installation
+
+```bash
+pip install opentelemetry-instrumentation-groq
+```
+
+## Example usage
+
+```python
+from opentelemetry.instrumentation.groq import GroqInstrumentor
+
+GroqInstrumentor().instrument()
+```
+
+## Privacy
+
+**By default, this instrumentation logs prompts, completions, and embeddings to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.
+
+However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.
+
+To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`.
+
+```bash
+TRACELOOP_TRACE_CONTENT=false
+```