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OpenTelemetry Python - OpenAI Instrumentation | ||
============================================= | ||
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.. automodule:: opentelemetry.instrumentation.openai_v2 | ||
:members: | ||
:undoc-members: | ||
:show-inheritance: |
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instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/.env
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# Update this with your real OpenAI API key | ||
OPENAI_API_KEY=sk-YOUR_API_KEY | ||
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# Uncomment to use Ollama instead of OpenAI | ||
# OPENAI_BASE_URL=http://localhost:11434/v1 | ||
# OPENAI_API_KEY=unused | ||
# CHAT_MODEL=qwen2.5:0.5b | ||
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# Uncomment and change to your OTLP endpoint | ||
# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 | ||
# OTEL_EXPORTER_OTLP_PROTOCOL=grpc | ||
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OTEL_SERVICE_NAME=opentelemetry-python-openai | ||
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# Change to 'false' to hide prompt and completion content | ||
OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true |
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instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py
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# pylint: skip-file | ||
import os | ||
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from openai import OpenAI | ||
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# 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 | ||
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# configure tracing | ||
trace.set_tracer_provider(TracerProvider()) | ||
trace.get_tracer_provider().add_span_processor( | ||
BatchSpanProcessor(OTLPSpanExporter()) | ||
) | ||
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# 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()) | ||
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# instrument OpenAI | ||
OpenAIInstrumentor().instrument() | ||
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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) | ||
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if __name__ == "__main__": | ||
main() |
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...umentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt
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openai~=1.54.4 | ||
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opentelemetry-sdk~=1.28.2 | ||
opentelemetry-exporter-otlp-proto-grpc~=1.28.2 | ||
opentelemetry-instrumentation-openai-v2~=2.0b0 |
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48
...ion-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/README.rst
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OpenTelemetry OpenAI Zero-Code Instrumentation Example | ||
====================================================== | ||
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This is an example of how to instrument OpenAI calls with zero code changes, | ||
using `opentelemetry-instrument`. | ||
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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. | ||
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Note: `.env <.env>`_ file configures additional environment variables: | ||
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- `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. | ||
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Setup | ||
----- | ||
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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. | ||
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Next, set up a virtual environment like this: | ||
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:: | ||
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python3 -m venv .venv | ||
source .venv/bin/activate | ||
pip install "python-dotenv[cli]" | ||
pip install -r requirements.txt | ||
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Run | ||
--- | ||
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Run the example like this: | ||
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:: | ||
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dotenv run -- opentelemetry-instrument python main.py | ||
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You should see a poem generated by OpenAI while traces and logs export to your | ||
configured observability tool. |
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...tation-openai-v2/example/requirements.txt → ...ai-v2/examples/zero-code/requirements.txt
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openai~=1.54.4 | ||
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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 |
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