59 lines
2.2 KiB
Plaintext
59 lines
2.2 KiB
Plaintext
Metadata-Version: 2.4
|
|
Name: opentelemetry-instrumentation-vertexai
|
|
Version: 0.50.1
|
|
Summary: OpenTelemetry Vertex AI instrumentation
|
|
License: Apache-2.0
|
|
Author: Gal Kleinman
|
|
Author-email: gal@traceloop.com
|
|
Requires-Python: >=3.9,<4
|
|
Classifier: License :: OSI Approved :: Apache Software License
|
|
Classifier: Programming Language :: Python :: 3
|
|
Classifier: Programming Language :: Python :: 3.9
|
|
Classifier: Programming Language :: Python :: 3.10
|
|
Classifier: Programming Language :: Python :: 3.11
|
|
Classifier: Programming Language :: Python :: 3.12
|
|
Classifier: Programming Language :: Python :: 3.13
|
|
Classifier: Programming Language :: Python :: 3.14
|
|
Provides-Extra: instruments
|
|
Requires-Dist: opentelemetry-api (>=1.38.0,<2.0.0)
|
|
Requires-Dist: opentelemetry-instrumentation (>=0.59b0)
|
|
Requires-Dist: opentelemetry-semantic-conventions (>=0.59b0)
|
|
Requires-Dist: opentelemetry-semantic-conventions-ai (>=0.4.13,<0.5.0)
|
|
Project-URL: Repository, https://github.com/traceloop/openllmetry/tree/main/packages/opentelemetry-instrumentation-vertexai
|
|
Description-Content-Type: text/markdown
|
|
|
|
# OpenTelemetry VertexAI Instrumentation
|
|
|
|
<a href="https://pypi.org/project/opentelemetry-instrumentation-vertexai/">
|
|
<img src="https://badge.fury.io/py/opentelemetry-instrumentation-vertexai.svg">
|
|
</a>
|
|
|
|
This library allows tracing VertexAI prompts and completions sent with the official [VertexAI library](https://github.com/googleapis/python-aiplatform).
|
|
|
|
## Installation
|
|
|
|
```bash
|
|
pip install opentelemetry-instrumentation-vertexai
|
|
```
|
|
|
|
## Example usage
|
|
|
|
```python
|
|
from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor
|
|
|
|
VertexAIInstrumentor().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
|
|
```
|
|
|