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| | import contextlib |
| | from google.cloud.aiplatform import base |
| |
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| | _LOGGER = base.Logger(__name__) |
| |
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| | _tool_names_to_append = [] |
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|
| | @contextlib.contextmanager |
| | def tool_context_manager(tool_name: str) -> None: |
| | """Context manager for appending tool name to client instantiations. |
| | |
| | Most client instantiations occur at construction time. There are a few |
| | exceptions such as generate_content that uses lazy instantiation at |
| | inference time (b/328511605). |
| | |
| | Example Usage: |
| | |
| | aiplatform.init(...) |
| | with telemetry.tool_context_manager('ClientName'): |
| | model = GenerativeModel("gemini-pro") |
| | responses = model.generate_content("Why is the sky blue?", stream=True) |
| | |
| | Args: |
| | tool_name: The name of the client library to attribute usage to |
| | |
| | Returns: |
| | None |
| | """ |
| | _append_tool_name(tool_name) |
| | try: |
| | yield |
| | finally: |
| | _pop_tool_name(tool_name) |
| |
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| |
|
| | def _append_tool_name(tool_name: str) -> None: |
| | if not _tool_names_to_append or _tool_names_to_append[-1] != tool_name: |
| | _tool_names_to_append.append(tool_name) |
| |
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| | def _pop_tool_name(tool_name: str) -> None: |
| | if not _tool_names_to_append or _tool_names_to_append[-1] != tool_name: |
| | _LOGGER.debug( |
| | "Gapic client context telemetry issue detected." |
| | + "This can occur due to parallelization." |
| | ) |
| | return |
| | _tool_names_to_append.pop() |
| |
|