86 lines
4.2 KiB
Plaintext
86 lines
4.2 KiB
Plaintext
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Metadata-Version: 2.4
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Name: traceloop-sdk
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Version: 0.50.1
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Summary: Traceloop Software Development Kit (SDK) for Python
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License: Apache-2.0
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Author: Gal Kleinman
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Author-email: gal@traceloop.com
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Requires-Python: >=3.10,<4
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Provides-Extra: datasets
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Requires-Dist: aiohttp (>=3.11.11,<4.0.0)
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Requires-Dist: colorama (>=0.4.6,<0.5.0)
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Requires-Dist: cuid (>=0.4,<0.5)
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Requires-Dist: deprecated (>=1.2.14,<2.0.0)
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Requires-Dist: jinja2 (>=3.1.5,<4.0.0)
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Requires-Dist: opentelemetry-api (>=1.38.0,<2.0.0)
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Requires-Dist: opentelemetry-exporter-otlp-proto-grpc (>=1.38.0,<2.0.0)
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Requires-Dist: opentelemetry-exporter-otlp-proto-http (>=1.38.0,<2.0.0)
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Requires-Dist: opentelemetry-instrumentation-agno (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-alephalpha (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-anthropic (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-bedrock (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-chromadb (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-cohere (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-crewai (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-google-generativeai (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-groq (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-haystack (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-lancedb (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-langchain (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-llamaindex (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-logging (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-marqo (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-mcp (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-milvus (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-mistralai (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-ollama (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-openai (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-openai-agents (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-pinecone (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-qdrant (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-redis (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-replicate (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-requests (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-sagemaker (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-sqlalchemy (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-threading (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-together (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-transformers (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-urllib3 (>=0.59b0)
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Requires-Dist: opentelemetry-instrumentation-vertexai (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-watsonx (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-weaviate (==0.50.1)
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Requires-Dist: opentelemetry-instrumentation-writer (==0.50.1)
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Requires-Dist: opentelemetry-sdk (>=1.38.0,<2.0.0)
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Requires-Dist: opentelemetry-semantic-conventions-ai (>=0.4.13,<0.5.0)
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Requires-Dist: pydantic (>=1)
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Requires-Dist: tenacity (>=8.2.3,<10.0)
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Project-URL: Documentation, https://traceloop.com/docs/openllmetry
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Project-URL: Repository, https://github.com/traceloop/openllmetry
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Description-Content-Type: text/markdown
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# traceloop-sdk
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Traceloop’s Python SDK allows you to easily start monitoring and debugging your LLM execution. Tracing is done in a non-intrusive way, built on top of OpenTelemetry. You can choose to export the traces to Traceloop, or to your existing observability stack.
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```python
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Traceloop.init(app_name="joke_generation_service")
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@workflow(name="joke_creation")
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def create_joke():
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}],
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)
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return completion.choices[0].message.content
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```
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