OpenAI instrumentation docs fixes

docs/conf.py

@@ -40,6 +40,13 @@
     if isdir(join(instr, f))
 ]
 
+instr_genai = "../instrumentation-genai"
+instr_genai_dirs = [
+    os.path.abspath("/".join(["../instrumentation-genai", f, "src"]))
+    for f in listdir(instr)
+    if isdir(join(instr, f))
+]
+
 prop = "../propagator"
 prop_dirs = [
     os.path.abspath("/".join([prop, f, "src"]))
@@ -60,7 +67,14 @@
     for f in listdir(resource)
     if isdir(join(resource, f))
 ]
-sys.path[:0] = exp_dirs + instr_dirs + sdk_ext_dirs + prop_dirs + resource_dirs
+sys.path[:0] = (
+    exp_dirs
+    + instr_dirs
+    + instr_genai_dirs
+    + sdk_ext_dirs
+    + prop_dirs
+    + resource_dirs
+)
 
 # -- Project information -----------------------------------------------------
 

docs/index.rst

@@ -24,7 +24,7 @@ installed separately via pip:
     pip install opentelemetry-instrumentation-{instrumentation}
     pip install opentelemetry-sdk-extension-{sdk-extension}
 
-A complete list of packages can be found at the 
+A complete list of packages can be found at the
 `Contrib repo instrumentation <https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation>`_
 and `Contrib repo exporter <https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/exporter>`_ directories.
 
@@ -50,6 +50,7 @@ install <https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>
     cd opentelemetry-python-contrib
     pip install -e ./instrumentation/opentelemetry-instrumentation-flask
     pip install -e ./instrumentation/opentelemetry-instrumentation-botocore
+    pip install -e ./instrumentation-genai/opentelemetry-instrumentation-openai-v2
     pip install -e ./sdk-extension/opentelemetry-sdk-extension-aws
     pip install -e ./resource/opentelemetry-resource-detector-container
 
@@ -62,6 +63,14 @@ install <https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>
 
     instrumentation/**
 
+.. toctree::
+    :maxdepth: 2
+    :caption: OpenTelemetry Generative AI Instrumentations
+    :name: Generative AI Instrumentations
+    :glob:
+
+    instrumentation-genai/**
+
 .. toctree::
     :maxdepth: 2
     :caption: OpenTelemetry Propagators

docs/instrumentation-genai/openai.rst

@@ -0,0 +1,7 @@
+OpenTelemetry Python - OpenAI Instrumentation
+============================================
+
+.. automodule:: opentelemetry.instrumentation.openai_v2
+    :members:
+    :undoc-members:
+    :show-inheritance:

instrumentation-genai/opentelemetry-instrumentation-openai-v2/README.rst

@@ -19,8 +19,60 @@ package to your requirements.
 
     pip install opentelemetry-instrumentation-openai-v2
 
-If you don't have an OpenAI application, yet, try our `example <example>`_
-which only needs a valid OpenAI API key.
+If you don't have an OpenAI application, yet, try our `examples <examples>`_
+which only need a valid OpenAI API key.
+
+Check out `zero-code example <examples/zero-code>`_ for a quick start.
+
+Usage
+-----
+
+This section describes how to set up OpenAI instrumentation if you're setting OpenTelemetry up manually.
+Check out the `manual example <examples/manual>`_ for more details.
+
+Instrumenting all clients
+*************************
+
+When using the instrumentor, all clients will automatically trace OpenAI chat completion operations.
+You can also optionally capture prompts and completions as log events.
+
+Make sure to configure OpenTelemetry tracing, logging, and events to capture all telemetry emitted by the instrumentation.
+
+.. code-block:: python
+
+    from opentelemetry.instrumentation.openai_v2 import OpenAIInstrumentor
+
+    OpenAIInstrumentor().instrument()
+
+    client = OpenAI()
+    response = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "user", "content": "Write a short poem on open telemetry."},
+        ],
+    )
+
+Enabling message content
+*************************
+
+Message content such as the contents of the prompt, completion, function arguments and return values
+are not captured by default. To capture message content as log events, set the environment variable
+`OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT` to `true`.
+
+Uninstrument
+************
+
+To uninstrument clients, call the uninstrument method:
+
+.. code-block:: python
+
+    from opentelemetry.instrumentation.openai_v2 import OpenAIInstrumentor
+
+    OpenAIInstrumentor().instrument()
+    # ...
+
+    # Uninstrument all clients
+    OpenAIInstrumentor().uninstrument()
 
 References
 ----------

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/.env

@@ -0,0 +1,16 @@
+# Update this with your real OpenAI API key
+OPENAI_API_KEY=sk-YOUR_API_KEY
+
+# Uncomment to use Ollama instead of OpenAI
+# OPENAI_BASE_URL=http://localhost:11434/v1
+# OPENAI_API_KEY=unused
+# CHAT_MODEL=qwen2.5:0.5b
+
+# Uncomment and change to your OTLP endpoint
+# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+# OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+OTEL_SERVICE_NAME=opentelemetry-python-openai
+
+# Change to 'false' to hide prompt and completion content
+OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

instrumentation-genai/opentelemetry-instrumentation-openai-v2/example/README.rst → instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/README.rst

@@ -1,21 +1,26 @@
 OpenTelemetry OpenAI Instrumentation Example
 ============================================
 
-This is an example of how to instrument OpenAI calls with zero code changes,
-using `opentelemetry-instrument`.
+This is an example of how to instrument OpenAI calls when configuring OpenTelemetry SDK and Instrumentations manually.
 
 When `main.py <main.py>`_ is run, it exports traces and logs to an OTLP
 compatible endpoint. Traces include details such as the model used and the
 duration of the chat request. Logs capture the chat request and the generated
 response, providing a comprehensive view of the performance and behavior of
 your OpenAI requests.
 
+Note: `.env <.env>`_ file configures additional environment variables:
+
+- `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true` configures
+OpenAI instrumentation to capture prompt and completion contents on
+events.
+
 Setup
 -----
 
 Minimally, update the `.env <.env>`_ file with your "OPENAI_API_KEY". An
 OTLP compatible endpoint should be listening for traces and logs on
-http://localhost:4318. If not, update "OTEL_EXPORTER_OTLP_ENDPOINT" as well.
+http://localhost:4317. If not, update "OTEL_EXPORTER_OTLP_ENDPOINT" as well.
 
 Next, set up a virtual environment like this:
 
@@ -33,7 +38,7 @@ Run the example like this:
 
 ::
 
-    dotenv run -- opentelemetry-instrument python main.py
+    dotenv run -- python main.py
 
 You should see a poem generated by OpenAI while traces and logs export to your
 configured observability tool.

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py

@@ -0,0 +1,52 @@
+import os
+
+from openai import OpenAI
+
+# NOTE: OpenTelemetry Python Logs and Events APIs are in beta
+from opentelemetry import _events, _logs, trace
+from opentelemetry.exporter.otlp.proto.grpc._log_exporter import (
+    OTLPLogExporter,
+)
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
+    OTLPSpanExporter,
+)
+from opentelemetry.instrumentation.openai_v2 import OpenAIInstrumentor
+from opentelemetry.sdk._events import EventLoggerProvider
+from opentelemetry.sdk._logs import LoggerProvider
+from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+# configure tracing
+trace.set_tracer_provider(TracerProvider())
+trace.get_tracer_provider().add_span_processor(
+    BatchSpanProcessor(OTLPSpanExporter())
+)
+
+# configure logging and events
+_logs.set_logger_provider(LoggerProvider())
+_logs.get_logger_provider().add_log_record_processor(
+    BatchLogRecordProcessor(OTLPLogExporter())
+)
+_events.set_event_logger_provider(EventLoggerProvider())
+
+# instrument OpenAI
+OpenAIInstrumentor().instrument()
+
+
+def main():
+    client = OpenAI()
+    chat_completion = client.chat.completions.create(
+        model=os.getenv("CHAT_MODEL", "gpt-4o-mini"),
+        messages=[
+            {
+                "role": "user",
+                "content": "Write a short poem on OpenTelemetry.",
+            },
+        ],
+    )
+    print(chat_completion.choices[0].message.content)
+
+
+if __name__ == "__main__":
+    main()

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt

@@ -0,0 +1,5 @@
+openai~=1.54.4
+
+opentelemetry-sdk~=1.28.2
+opentelemetry-exporter-otlp-proto-grpc~=1.28.2
+opentelemetry-instrumentation-openai-v2~=2.0b0

instrumentation-genai/opentelemetry-instrumentation-openai-v2/example/.env → instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/.env

@@ -6,13 +6,16 @@ OPENAI_API_KEY=sk-YOUR_API_KEY
 # OPENAI_API_KEY=unused
 # CHAT_MODEL=qwen2.5:0.5b
 
-OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
-OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
+# Uncomment and change to your OTLP endpoint
+# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+# OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
 OTEL_SERVICE_NAME=opentelemetry-python-openai
 
 # Change to 'false' to disable logging
 OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED=true
 # Change to 'console' if your OTLP endpoint doesn't support logs
-OTEL_LOGS_EXPORTER=otlp_proto_http
+# TODO: this should not be necessary once https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3042 is released
+OTEL_LOGS_EXPORTER=otlp
 # Change to 'false' to hide prompt and completion content
 OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/README.rst

@@ -0,0 +1,48 @@
+OpenTelemetry OpenAI Zero-Code Instrumentation Example
+============================================
+
+This is an example of how to instrument OpenAI calls with zero code changes,
+using `opentelemetry-instrument`.
+
+When `main.py <main.py>`_ is run, it exports traces and logs to an OTLP
+compatible endpoint. Traces include details such as the model used and the
+duration of the chat request. Logs capture the chat request and the generated
+response, providing a comprehensive view of the performance and behavior of
+your OpenAI requests.
+
+Note: `.env <.env>`_ file configures additional environment variables:
+
+- `OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED=true` configures
+OpenTelemetry SDK to export logs and events.
+- `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true` configures
+OpenAI instrumentation to capture prompt and completion contents on
+events.
+- `OTEL_LOGS_EXPORTER=otlp` to specify exporter type.
+
+Setup
+-----
+
+Minimally, update the `.env <.env>`_ file with your "OPENAI_API_KEY". An
+OTLP compatible endpoint should be listening for traces and logs on
+http://localhost:4317. If not, update "OTEL_EXPORTER_OTLP_ENDPOINT" as well.
+
+Next, set up a virtual environment like this:
+
+::
+
+    python3 -m venv .venv
+    source .venv/bin/activate
+    pip install "python-dotenv[cli]"
+    pip install -r requirements.txt
+
+Run
+---
+
+Run the example like this:
+
+::
+
+    dotenv run -- opentelemetry-instrument python main.py
+
+You should see a poem generated by OpenAI while traces and logs export to your
+configured observability tool.

instrumentation-genai/opentelemetry-instrumentation-openai-v2/example/requirements.txt → instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt

@@ -1,6 +1,6 @@
 openai~=1.54.4
 
 opentelemetry-sdk~=1.28.2
-opentelemetry-exporter-otlp-proto-http~=1.28.2
+opentelemetry-exporter-otlp-proto-grpc~=1.28.2
 opentelemetry-distro~=0.49b2
 opentelemetry-instrumentation-openai-v2~=2.0b0

instrumentation-genai/opentelemetry-instrumentation-openai-v2/pyproject.toml

@@ -39,7 +39,7 @@ instruments = [
 openai = "opentelemetry.instrumentation.openai_v2:OpenAIInstrumentor"
 
 [project.urls]
-Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation/opentelemetry-instrumentation-openai-v2"
+Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation-genai/opentelemetry-instrumentation-openai-v2"
 
 [tool.hatch.version]
 path = "src/opentelemetry/instrumentation/openai_v2/version.py"

instrumentation-genai/opentelemetry-instrumentation-openai-v2/test-requirements-0.txt

@@ -7,6 +7,7 @@ pytest==7.4.4
 pytest-vcr==1.0.2
 pytest-asyncio==0.21.0
 wrapt==1.16.0
+opentelemetry-exporter-otlp-proto-http~=1.28
 opentelemetry-api==1.28  # when updating, also update in pyproject.toml
 opentelemetry-sdk==1.28  # when updating, also update in pyproject.toml
 opentelemetry-semantic-conventions==0.49b0  # when updating, also update in pyproject.toml