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‎pyproject.toml‎

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[project.optional-dependencies]
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dev = [
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"openai",
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"openai==1.30.1",
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"chromadb",
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‎src/langtrace_python_sdk/instrumentation/langgraph/patch.py‎

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)
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‎src/langtrace_python_sdk/utils/llm.py‎

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from langtrace_python_sdk.utils import set_span_attribute
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from langtrace_python_sdk.types import NOT_GIVEN
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from tiktoken import get_encoding
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from tiktoken import get_encoding, list_encoding_names
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from langtrace_python_sdk.constants.instrumentation.common import (
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LANGTRACE_ADDITIONAL_SPAN_ATTRIBUTES_KEY,
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from opentelemetry import baggage
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from opentelemetry.trace import Span
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from opentelemetry.trace.status import StatusCode
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import os
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self._span_started = True
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def cleanup(self):
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if self.completion_tokens==0:
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response_model = 'cl100k_base'
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if self._response_model in list_encoding_names():
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response_model = self._response_model
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self.completion_tokens = estimate_tokens_using_tiktoken("".join(self.result_content), response_model)
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if self._span_started:
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set_span_attribute(
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self.span,

‎src/langtrace_python_sdk/version.py‎

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__version__ = "2.2.26"
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__version__ = "2.2.28"

‎src/tests/openai/cassettes/test_async_chat_completion_streaming.yaml‎

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‎src/tests/openai/cassettes/test_async_image_generation.yaml‎

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