diff --git a/.github/workflows/ci-traceloop-sdk.yml b/.github/workflows/ci-traceloop-sdk.yml index dbac7f8c56..0c771d7d4e 100644 --- a/.github/workflows/ci-traceloop-sdk.yml +++ b/.github/workflows/ci-traceloop-sdk.yml @@ -41,5 +41,7 @@ jobs: - name: Test with pytest env: OPENAI_API_KEY: ${{ secrets.OPEN_API_KEY }} + PINECONE_API_KEY: ${{ secrets.PINECONE_API_KEY }} + PINECONE_ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }} working-directory: packages/traceloop-sdk run: poetry run pytest diff --git a/README.md b/README.md index 16597f95bd..e5f3680ee9 100644 --- a/README.md +++ b/README.md @@ -85,7 +85,7 @@ OpenLLMetry can instrument everything that [OpenTelemetry already instruments](h ### Vector DBs -- [ ] Pinecone +- [x] Pinecone - [ ] Chroma - [ ] Weaviate diff --git a/packages/opentelemetry-instrumentation-haystack/poetry.lock b/packages/opentelemetry-instrumentation-haystack/poetry.lock index 60b02fb983..4681627c63 100644 --- 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"sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"}, + {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"}, @@ -302,15 +312,15 @@ setuptools = ">=16.0" wrapt = ">=1.0.0,<2.0.0" [[package]] -name = "opentelemetry-semantic-conventions-llm" -version = "0.0.1" +name = "opentelemetry-semantic-conventions-ai" +version = "0.0.3" description = "OpenTelemetry Semantic Conventions Extension for Large Language Models" category = "main" optional = false python-versions = ">=3.8.1,<3.12" files = [ - {file = "opentelemetry_semantic_conventions_llm-0.0.1-py3-none-any.whl", hash = "sha256:446868ac5e416880cdd7cca839aa08d9f60d1a17ac1a84636fb8fe646570101b"}, - {file = "opentelemetry_semantic_conventions_llm-0.0.1.tar.gz", hash = "sha256:5cf977bcf8cb0667b9b558be6c15f8c827d66c12d4dd795ccd764d4bb8e66201"}, + {file = "opentelemetry_semantic_conventions_ai-0.0.3-py3-none-any.whl", hash = "sha256:b9e1753bbb9d6ff9df9d0fcb27a571b49f96d2f2a4786acffcde8e43f13a7f1f"}, + {file = "opentelemetry_semantic_conventions_ai-0.0.3.tar.gz", hash = "sha256:204492e05fdb25386b16bae8eb9f46b8002c711270c21f924cc230454918c01f"}, ] [[package]] @@ -597,21 +607,21 @@ files = [ [[package]] name = "zipp" -version = "3.16.2" +version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.12" -content-hash = "0182d7cf0831cdbcc51150ef313f075c8c43eb009c94edbff3bd5ea2213abbbb" +content-hash = "02d1ce9816f1b21bca50634fdbe39f91278f99d6313803bc1a61cfe396a7139f" diff --git a/packages/opentelemetry-instrumentation-haystack/pyproject.toml b/packages/opentelemetry-instrumentation-haystack/pyproject.toml index 573a0ef37f..44e7324337 100644 --- a/packages/opentelemetry-instrumentation-haystack/pyproject.toml +++ b/packages/opentelemetry-instrumentation-haystack/pyproject.toml @@ -11,7 +11,7 @@ addopts = "--cov --cov-report html:'../../coverage/packages/opentelemetry-instru [tool.poetry] name = "opentelemetry-instrumentation-haystack" -version = "0.0.1" +version = "0.0.3" description = "OpenTelemetry Haystack instrumentation" authors = [ "Gal Kleinman ", @@ -28,7 +28,7 @@ include = "opentelemetry/instrumentation/haystack" python = ">=3.8.1,<3.12" opentelemetry-api = "^1.19.0" opentelemetry-instrumentation = "^0.40b0" -opentelemetry-semantic-conventions-ai = "^0.0.1" +opentelemetry-semantic-conventions-ai = "^0.0.3" [tool.poetry.group.dev.dependencies] autopep8 = "2.0.4" diff --git a/packages/opentelemetry-instrumentation-openai/poetry.lock b/packages/opentelemetry-instrumentation-openai/poetry.lock index 820a5ada23..4681627c63 100644 --- a/packages/opentelemetry-instrumentation-openai/poetry.lock +++ b/packages/opentelemetry-instrumentation-openai/poetry.lock @@ -224,6 +224,16 @@ files = [ {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"}, + {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = 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"sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"}, + {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"}, + {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"}, + {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"}, {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"}, @@ -303,14 +313,14 @@ wrapt = ">=1.0.0,<2.0.0" [[package]] name = "opentelemetry-semantic-conventions-ai" -version = "0.0.1" +version = "0.0.3" description = "OpenTelemetry Semantic Conventions Extension for Large Language Models" category = "main" optional = false python-versions = ">=3.8.1,<3.12" files = [ - {file = "opentelemetry_semantic_conventions_ai-0.0.1-py3-none-any.whl", hash = "sha256:6cb93dc16eebf686e80eecd99787e6f6dce01e3950f0143cdd4dc1af1047f710"}, - {file = "opentelemetry_semantic_conventions_ai-0.0.1.tar.gz", hash = "sha256:565b58aa8a768e6abaddb33eee2554a01fb58db1daea974bb74cea91070dc17e"}, + {file = "opentelemetry_semantic_conventions_ai-0.0.3-py3-none-any.whl", hash = "sha256:b9e1753bbb9d6ff9df9d0fcb27a571b49f96d2f2a4786acffcde8e43f13a7f1f"}, + {file = "opentelemetry_semantic_conventions_ai-0.0.3.tar.gz", hash = "sha256:204492e05fdb25386b16bae8eb9f46b8002c711270c21f924cc230454918c01f"}, ] [[package]] @@ -597,21 +607,21 @@ files = [ [[package]] name = "zipp" -version = "3.16.2" +version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.12" -content-hash = "29b20fa79b3db48880e4f46bde623448dc5c89c602b9611abbd09e519e7effd8" +content-hash = "02d1ce9816f1b21bca50634fdbe39f91278f99d6313803bc1a61cfe396a7139f" diff --git a/packages/opentelemetry-instrumentation-openai/pyproject.toml b/packages/opentelemetry-instrumentation-openai/pyproject.toml index de477456ce..f0a4a7d33d 100644 --- a/packages/opentelemetry-instrumentation-openai/pyproject.toml +++ b/packages/opentelemetry-instrumentation-openai/pyproject.toml @@ -11,7 +11,7 @@ addopts = "--cov --cov-report html:'../../coverage/packages/opentelemetry-instru [tool.poetry] name = "opentelemetry-instrumentation-openai" -version = "0.0.5" +version = "0.0.8" description = "OpenTelemetry OpenAI instrumentation" authors = [ "Gal Kleinman ", @@ -27,7 +27,7 @@ include = "opentelemetry/instrumentation/openai" python = ">=3.8.1,<3.12" opentelemetry-api = "^1.19.0" opentelemetry-instrumentation = "^0.40b0" -opentelemetry-semantic-conventions-ai = "^0.0.1" +opentelemetry-semantic-conventions-ai = "^0.0.3" [tool.poetry.group.dev.dependencies] autopep8 = "2.0.4" diff --git a/packages/opentelemetry-instrumentation-pinecone/opentelemetry/instrumentation/pinecone/__init__.py b/packages/opentelemetry-instrumentation-pinecone/opentelemetry/instrumentation/pinecone/__init__.py index 2452dd9647..ce9d563fdb 100644 --- a/packages/opentelemetry-instrumentation-pinecone/opentelemetry/instrumentation/pinecone/__init__.py +++ b/packages/opentelemetry-instrumentation-pinecone/opentelemetry/instrumentation/pinecone/__init__.py @@ -1 +1,137 @@ """OpenTelemetry Pinecone instrumentation""" + +import logging +from typing import Collection +from wrapt import wrap_function_wrapper +import pinecone + +from opentelemetry import context as context_api +from opentelemetry.trace import get_tracer, SpanKind +from opentelemetry.trace.status import Status, StatusCode + +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor +from opentelemetry.instrumentation.utils import ( + _SUPPRESS_INSTRUMENTATION_KEY, + unwrap, +) + +from opentelemetry.semconv.ai import SpanAttributes + +logger = logging.getLogger(__name__) + +_instruments = ("pinecone-client ~= 2.2.2",) +__version__ = "0.1.0" + +WRAPPED_METHODS = [ + { + "object": "GRPCIndex", + "method": "query", + "span_name": "pinecone.query", + }, + { + "object": "GRPCIndex", + "method": "upsert", + "span_name": "pinecone.upsert", + }, + { + "object": "GRPCIndex", + "method": "delete", + "span_name": "pinecone.delete", + }, +] + + +def _set_span_attribute(span, name, value): + if value is not None: + if value != "": + span.set_attribute(name, value) + return + + +def _set_input_attributes(span, kwargs): + pass + + +def _set_response_attributes(span, response): + pass + + +def _with_tracer_wrapper(func): + """Helper for providing tracer for wrapper functions.""" + + def _with_tracer(tracer, to_wrap): + def wrapper(wrapped, instance, args, kwargs): + # prevent double wrapping + if hasattr(wrapped, "__wrapped__"): + return wrapped(*args, **kwargs) + + return func(tracer, to_wrap, wrapped, instance, args, kwargs) + + return wrapper + + return _with_tracer + + +@_with_tracer_wrapper +def _wrap(tracer, to_wrap, wrapped, instance, args, kwargs): + """Instruments and calls every function defined in TO_WRAP.""" + if context_api.get_value(_SUPPRESS_INSTRUMENTATION_KEY): + return wrapped(*args, **kwargs) + + name = to_wrap.get("span_name") + with tracer.start_as_current_span( + name, + kind=SpanKind.CLIENT, + attributes={ + SpanAttributes.VECTOR_DB_VENDOR: "Pinecone", + }, + ) as span: + try: + if span.is_recording(): + _set_input_attributes(span, kwargs) + + except Exception as ex: # pylint: disable=broad-except + logger.warning( + "Failed to set input attributes for openai span, error: %s", str(ex) + ) + + response = wrapped(*args, **kwargs) + + if response: + try: + if span.is_recording(): + _set_response_attributes(span, response) + + except Exception as ex: # pylint: disable=broad-except + logger.warning( + "Failed to set response attributes for openai span, error: %s", + str(ex), + ) + if span.is_recording(): + span.set_status(Status(StatusCode.OK)) + + return response + + +class PineconeInstrumentor(BaseInstrumentor): + """An instrumentor for Pinecone's client library.""" + + def instrumentation_dependencies(self) -> Collection[str]: + return _instruments + + def _instrument(self, **kwargs): + tracer_provider = kwargs.get("tracer_provider") + tracer = get_tracer(__name__, __version__, tracer_provider) + for wrapped_method in WRAPPED_METHODS: + wrap_object = wrapped_method.get("object") + wrap_method = wrapped_method.get("method") + wrap_function_wrapper( + "pinecone", + f"{wrap_object}.{wrap_method}", + _wrap(tracer, wrapped_method), + ) + + def _uninstrument(self, **kwargs): + for wrapped_method in WRAPPED_METHODS: + wrap_object = wrapped_method.get("object") + unwrap(f"pinecone.{wrap_object}", wrapped_method.get("method")) diff --git a/packages/opentelemetry-instrumentation-pinecone/poetry.lock b/packages/opentelemetry-instrumentation-pinecone/poetry.lock index 7fe6674ed1..4681627c63 100644 --- a/packages/opentelemetry-instrumentation-pinecone/poetry.lock +++ b/packages/opentelemetry-instrumentation-pinecone/poetry.lock @@ -1,9 +1,10 @@ -# This file is automatically @generated by Poetry 1.6.0 and should not be changed by hand. +# This file is automatically @generated by Poetry and should not be changed by hand. [[package]] name = "autopep8" version = "2.0.4" description = "A tool that automatically formats Python code to conform to the PEP 8 style guide" +category = "dev" optional = false python-versions = ">=3.6" files = [ @@ -19,6 +20,7 @@ tomli = {version = "*", markers = "python_version < \"3.11\""} name = "colorama" version = "0.4.6" description = "Cross-platform colored terminal text." +category = "dev" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" files = [ @@ -28,63 +30,64 @@ files = [ [[package]] name = "coverage" -version = "7.3.0" +version = "7.3.1" description = "Code coverage measurement for Python" +category = "dev" optional = false python-versions = ">=3.8" files = [ - {file = "coverage-7.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:db76a1bcb51f02b2007adacbed4c88b6dee75342c37b05d1822815eed19edee5"}, - {file = "coverage-7.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = 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files = [ [[package]] name = "zipp" -version = "3.16.2" +version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" +category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.12" -content-hash = "1b979090595c1e70fe597d44796f2eb332000dedc733f7a4b90b474e754a4f91" +content-hash = "02d1ce9816f1b21bca50634fdbe39f91278f99d6313803bc1a61cfe396a7139f" diff --git a/packages/opentelemetry-instrumentation-pinecone/pyproject.toml b/packages/opentelemetry-instrumentation-pinecone/pyproject.toml index 976dd709f8..c11554b13e 100644 --- a/packages/opentelemetry-instrumentation-pinecone/pyproject.toml +++ b/packages/opentelemetry-instrumentation-pinecone/pyproject.toml @@ -11,7 +11,7 @@ addopts = "--cov --cov-report html:'../../coverage/packages/opentelemetry-instru [tool.poetry] name = "opentelemetry-instrumentation-pinecone" -version = "0.0.2" +version = "0.0.4" description = "OpenTelemetry Pinecone instrumentation" authors = [ "Gal Kleinman ", @@ -27,7 +27,7 @@ include = "opentelemetry/instrumentation/pinecone" python = ">=3.8.1,<3.12" opentelemetry-api = "^1.19.0" opentelemetry-instrumentation = "^0.40b0" -opentelemetry-semantic-conventions-llm = "^0.0.2" +opentelemetry-semantic-conventions-ai = "^0.0.3" [tool.poetry.group.dev.dependencies] autopep8 = "2.0.4" diff --git a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv/ai/__init__.py b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv/ai/__init__.py index ad787cd785..2e4381221b 100644 --- a/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv/ai/__init__.py +++ b/packages/opentelemetry-semantic-conventions-ai/opentelemetry/semconv/ai/__init__.py @@ -19,10 +19,15 @@ class SpanAttributes: LLM_COMPLETIONS = "llm.completions" LLM_CHAT_STOP_SEQUENCES = "llm.chat.stop_sequences" + # Vector DB + VECTOR_DB_VENDOR = "vector_db.vendor" + VECTOR_DB_QUERY_TOP_K = "vector_db.query.top_k" + # LLM Workflows TRACELOOP_SPAN_KIND = "traceloop.span.kind" TRACELOOP_WORKFLOW_NAME = "traceloop.workflow.name" TRACELOOP_ENTITY_NAME = "traceloop.entity.name" + TRACELOOP_CORRELATION_ID = "traceloop.correlation.id" class LLMRequestTypeValues(Enum): diff --git a/packages/opentelemetry-semantic-conventions-ai/pyproject.toml b/packages/opentelemetry-semantic-conventions-ai/pyproject.toml index c9077306a2..2531172768 100644 --- a/packages/opentelemetry-semantic-conventions-ai/pyproject.toml +++ b/packages/opentelemetry-semantic-conventions-ai/pyproject.toml @@ -11,7 +11,7 @@ addopts = "--cov --cov-report html:'../../coverage/packages/opentelemetry-semant [tool.poetry] name = "opentelemetry-semantic-conventions-ai" -version = "0.0.1" +version = "0.0.3" description = "OpenTelemetry Semantic Conventions Extension for Large Language Models" authors = [ "Gal Kleinman ", diff --git a/packages/sample-app/poetry.lock b/packages/sample-app/poetry.lock index 7b66740ceb..fb50f7c423 100644 --- a/packages/sample-app/poetry.lock +++ b/packages/sample-app/poetry.lock @@ -1,5 +1,27 @@ # This file is automatically @generated by Poetry and should not be changed by hand. +[[package]] +name = "aiobotocore" +version = "2.5.4" +description = "Async client for aws services using botocore and aiohttp" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "aiobotocore-2.5.4-py3-none-any.whl", hash = "sha256:4b32218728ca3d0be83835b604603a0cd6c329066e884bb78149334267f92440"}, + {file = "aiobotocore-2.5.4.tar.gz", hash = "sha256:60341f19eda77e41e1ab11eef171b5a98b5dbdb90804f5334b6f90e560e31fae"}, +] + +[package.dependencies] +aiohttp = ">=3.3.1,<4.0.0" +aioitertools = ">=0.5.1,<1.0.0" +botocore = ">=1.31.17,<1.31.18" +wrapt = ">=1.10.10,<2.0.0" + +[package.extras] +awscli = ["awscli (>=1.29.17,<1.29.18)"] +boto3 = ["boto3 (>=1.28.17,<1.28.18)"] + [[package]] name = "aiohttp" version = "3.8.5" @@ -109,6 +131,21 @@ yarl = ">=1.0,<2.0" [package.extras] speedups = ["Brotli", "aiodns", "cchardet"] +[[package]] +name = "aioitertools" +version = "0.11.0" +description = "itertools and builtins for AsyncIO and mixed iterables" +category = "main" +optional = false +python-versions = ">=3.6" +files = [ + {file = "aioitertools-0.11.0-py3-none-any.whl", hash = "sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394"}, + {file = "aioitertools-0.11.0.tar.gz", hash = "sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831"}, +] + +[package.dependencies] +typing_extensions = {version = ">=4.0", markers = "python_version < \"3.10\""} + [[package]] name = "aiosignal" version = "1.3.1" @@ -207,6 +244,38 @@ files = [ {file = "boilerpy3-1.0.6.tar.gz", hash = "sha256:c864c0041c3197ad8c118109b252c2c564133614e93068bf226eaf6d217304bb"}, ] +[[package]] +name = "botocore" +version = "1.31.17" +description = "Low-level, data-driven core of boto 3." +category = 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tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1 [package.extras] toml = ["tomli"] +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +category = "main" +optional = false +python-versions = ">=3.5" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + [[package]] name = "deprecated" version = "1.2.14" @@ -449,6 +530,26 @@ wrapt = ">=1.10,<2" [package.extras] dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"] +[[package]] +name = "dnspython" +version = "2.4.2" +description = "DNS toolkit" +category = "main" +optional = false +python-versions = ">=3.8,<4.0" +files = [ + {file = "dnspython-2.4.2-py3-none-any.whl", hash = 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path = "../traceloop-sdk" develop = true diff --git a/packages/sample-app/sample_app/pinecone_app.py b/packages/sample-app/sample_app/pinecone_app.py new file mode 100644 index 0000000000..9bb1ec60fd --- /dev/null +++ b/packages/sample-app/sample_app/pinecone_app.py @@ -0,0 +1,92 @@ +# Adaptation of Pinecone's example +# https://colab.research.google.com/github/pinecone-io/examples/blob/master/docs/gen-qa-openai.ipynb +from pinecone_datasets import load_dataset +import os +import pinecone +import openai +from traceloop.sdk import Traceloop +from traceloop.sdk.decorators import task, workflow + +Traceloop.init(app_name="pinecone_app") + +pinecone.init( + api_key=os.getenv("PINECONE_API_KEY"), environment=os.getenv("PINECONE_ENVIRONMENT") +) +index_name = "gen-qa-openai-fast" + + +@workflow(name="create_index") +def gen_index(): + if index_name not in pinecone.list_indexes(): + print("Loading dataset...") + dataset = load_dataset("youtube-transcripts-text-embedding-ada-002") + dataset.documents.drop(["metadata"], axis=1, inplace=True) + dataset.documents.rename(columns={"blob": "metadata"}, inplace=True) + + print("Creating index...") + pinecone.create_index( + index_name, + dimension=1536, # dimensionality of text-embedding-ada-002 + metric="cosine", + ) + index = pinecone.GRPCIndex(index_name) + for batch in dataset.iter_documents(batch_size=100): + index.upsert(batch) + + +index = pinecone.GRPCIndex(index_name) + + +@task("retrieve") +def retrieve(query): + context_limit = 3750 + res = openai.Embedding.create(input=[query], engine="text-embedding-ada-002") + + # retrieve from Pinecone + xq = res["data"][0]["embedding"] + + # get relevant contexts + res = index.query(xq, top_k=3, include_metadata=True) + contexts = [x["metadata"]["text"] for x in res["matches"]] + + # build our prompt with the retrieved contexts included + prompt_start = "Answer the question based on the context below.\n\n" + "Context:\n" + prompt_end = f"\n\nQuestion: {query}\nAnswer:" + # append contexts until hitting limit + for i in range(1, len(contexts)): + if len("\n\n---\n\n".join(contexts[:i])) >= context_limit: + prompt = prompt_start + "\n\n---\n\n".join(contexts[: i - 1]) + prompt_end + break + elif i == len(contexts) - 1: + prompt = prompt_start + "\n\n---\n\n".join(contexts) + prompt_end + return prompt + + +@task("complete") +def complete(prompt): + res = openai.Completion.create( + engine="text-davinci-003", + prompt=prompt, + temperature=0, + max_tokens=400, + top_p=1, + frequency_penalty=0, + presence_penalty=0, + stop=None, + ) + return res["choices"][0]["text"].strip() + + +@workflow(name="query_with_retrieve") +def run_query(query: str): + query_with_contexts = retrieve(query) + print(query_with_contexts) + print(complete(query_with_contexts)) + + +gen_index() +query = ( + "Which training method should I use for sentence transformers when " + + "I only have pairs of related sentences?" +) +run_query(query) diff --git 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"sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"}, ] [package.extras] @@ -2823,6 +3023,21 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17. socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] +[[package]] +name = "win32-setctime" +version = "1.1.0" +description = "A small Python utility to set file creation time on Windows" +category = "dev" +optional = false +python-versions = ">=3.5" +files = [ + {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"}, + {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"}, +] + +[package.extras] +dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"] + [[package]] name = "wrapt" version = "1.15.0" @@ -2998,21 +3213,21 @@ multidict = ">=4.0" [[package]] name = "zipp" -version = "3.16.2" +version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" category = "main" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"}, - {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.12" -content-hash = "bc93a182f56390e627110256c5ca550ee02717cb58e92f56822ad36a5ba96742" +content-hash = "c95abaac86ac0b8229984b06727023df4129920f2dca8427dda9310aba0ddc8e" diff --git a/packages/traceloop-sdk/pyproject.toml b/packages/traceloop-sdk/pyproject.toml index f65e740c3c..728e0319bf 100644 --- a/packages/traceloop-sdk/pyproject.toml +++ b/packages/traceloop-sdk/pyproject.toml @@ -11,7 +11,7 @@ addopts = "--cov --cov-report html:'../../coverage/packages/traceloop-sdk/html' [tool.poetry] name = "traceloop-sdk" -version = "0.0.44" +version = "0.0.45" description = "Traceloop Software Development Kit (SDK) for Python" authors = [ "Gal Kleinman ", @@ -30,16 +30,15 @@ include = "traceloop/sdk" python = ">=3.8.1,<3.12" opentelemetry-api = "^1.19.0" opentelemetry-sdk = "^1.19.0" -opentelemetry-semantic-conventions-ai = "^0.0.1" +opentelemetry-semantic-conventions-ai = "^0.0.3" opentelemetry-exporter-otlp-proto-http = "^1.19.0" opentelemetry-instrumentation-requests = "^0.40b0" opentelemetry-instrumentation-pymysql = "^0.40b0" opentelemetry-instrumentation-urllib3 = "^0.40b0" -opentelemetry-instrumentation-openai = "^0.0.5" -opentelemetry-instrumentation-pinecone = "^0.0.2" -opentelemetry-instrumentation-haystack = "^0.0.1" +opentelemetry-instrumentation-openai = "^0.0.8" +opentelemetry-instrumentation-pinecone = "^0.0.4" +opentelemetry-instrumentation-haystack = "^0.0.3" colorama = "^0.4.6" -farm-haystack = "^1.20.1" [tool.poetry.group.dev.dependencies] autopep8 = "2.0.4" @@ -51,6 +50,8 @@ pytest-html = "4.0.0" [tool.poetry.group.test.dependencies] openai = "^0.28.0" +pinecone-client = {extras = ["grpc"], version = "^2.2.4"} +farm-haystack = "^1.20.1" [build-system] requires = [ "poetry-core" ] diff --git a/packages/traceloop-sdk/tests/conftest.py b/packages/traceloop-sdk/tests/conftest.py index 547aa995bd..db7fa8c552 100644 --- a/packages/traceloop-sdk/tests/conftest.py +++ b/packages/traceloop-sdk/tests/conftest.py @@ -1,3 +1,18 @@ """Unit tests configuration module.""" +import pytest +from traceloop.sdk import Traceloop +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter pytest_plugins = [] + + +@pytest.fixture(scope="session") +def exporter(): + exporter = InMemorySpanExporter() + Traceloop.init(app_name="test", disable_batch=True, exporter=exporter) + return exporter + + +@pytest.fixture(autouse=True) +def clear_exporter(exporter): + exporter.clear() diff --git a/packages/traceloop-sdk/tests/test_haystack_instrumentation.py b/packages/traceloop-sdk/tests/test_haystack_instrumentation.py new file mode 100644 index 0000000000..39ab69c229 --- /dev/null +++ b/packages/traceloop-sdk/tests/test_haystack_instrumentation.py @@ -0,0 +1,29 @@ +import os +from haystack.nodes import PromptNode, PromptTemplate, AnswerParser +from haystack.pipelines import Pipeline + + +def test_haystack(exporter): + prompt = PromptTemplate( + prompt="Tell me a joke about {query}\n", + output_parser=AnswerParser(), + ) + + prompt_node = PromptNode( + model_name_or_path="gpt-4", + api_key=os.getenv("OPENAI_API_KEY"), + default_prompt_template=prompt, + ) + + pipeline = Pipeline() + pipeline.add_node(component=prompt_node, name="PromptNode", inputs=["Query"]) + pipeline.run("OpenTelemetry") + + spans = exporter.get_finished_spans() + assert set( + [ + "openai.chat", + "PromptNode.task", + "haystack_pipeline.workflow", + ] + ).issubset([span.name for span in spans]) diff --git a/packages/traceloop-sdk/tests/test_instrumentations.py b/packages/traceloop-sdk/tests/test_instrumentations.py deleted file mode 100644 index e6720e1201..0000000000 --- a/packages/traceloop-sdk/tests/test_instrumentations.py +++ /dev/null @@ -1,68 +0,0 @@ -import os -import pytest -import openai -from haystack.nodes import PromptNode, PromptTemplate, AnswerParser -from haystack.pipelines import Pipeline -from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter -from traceloop.sdk import Traceloop -from traceloop.sdk.decorators import workflow, task - - -exporter = InMemorySpanExporter() -Traceloop.init(app_name="test", disable_batch=True, exporter=exporter) - - -@pytest.fixture(autouse=True) -def clear_exporter(): - exporter.clear() - - -def test_simple_workflow(): - @task(name="joke_creation") - def create_joke(): - completion = openai.ChatCompletion.create( - model="gpt-3.5-turbo", - messages=[ - {"role": "user", "content": "Tell me a joke about opentelemetry"} - ], - ) - return completion.choices[0].message.content - - @workflow(name="pirate_joke_generator") - def joke_workflow(): - create_joke() - - joke_workflow() - - spans = exporter.get_finished_spans() - assert [span.name for span in spans] == [ - "openai.chat", - "joke_creation.task", - "pirate_joke_generator.workflow", - ] - - -def test_haystack(): - prompt = PromptTemplate( - prompt="Tell me a joke about {query}\n", - output_parser=AnswerParser(), - ) - - prompt_node = PromptNode( - model_name_or_path="gpt-4", - api_key=os.getenv("OPENAI_API_KEY"), - default_prompt_template=prompt, - ) - - pipeline = Pipeline() - pipeline.add_node(component=prompt_node, name="PromptNode", inputs=["Query"]) - pipeline.run("OpenTelemetry") - - spans = exporter.get_finished_spans() - assert set( - [ - "openai.chat", - "PromptNode.task", - "haystack_pipeline.workflow", - ] - ).issubset([span.name for span in spans]) diff --git a/packages/traceloop-sdk/tests/test_pinecone_instrumentation.py b/packages/traceloop-sdk/tests/test_pinecone_instrumentation.py new file mode 100644 index 0000000000..4f016b368c --- /dev/null +++ b/packages/traceloop-sdk/tests/test_pinecone_instrumentation.py @@ -0,0 +1,74 @@ +import os +import pinecone +import openai +from traceloop.sdk.decorators import workflow, task + + +def test_pinecone_retrieval(exporter): + pinecone.init( + api_key=os.getenv("PINECONE_API_KEY"), + environment=os.getenv("PINECONE_ENVIRONMENT"), + ) + index = pinecone.GRPCIndex("gen-qa-openai-fast") + + @task("retrieve") + def retrieve(query): + context_limit = 3750 + res = openai.Embedding.create(input=[query], engine="text-embedding-ada-002") + + # retrieve from Pinecone + xq = res["data"][0]["embedding"] + + # get relevant contexts + res = index.query(xq, top_k=3, include_metadata=True) + contexts = [x["metadata"]["text"] for x in res["matches"]] + + # build our prompt with the retrieved contexts included + prompt_start = ( + "Answer the question based on the context below.\n\n" + "Context:\n" + ) + prompt_end = f"\n\nQuestion: {query}\nAnswer:" + # append contexts until hitting limit + for i in range(1, len(contexts)): + if len("\n\n---\n\n".join(contexts[:i])) >= context_limit: + prompt = ( + prompt_start + "\n\n---\n\n".join(contexts[: i - 1]) + prompt_end + ) + break + elif i == len(contexts) - 1: + prompt = prompt_start + "\n\n---\n\n".join(contexts) + prompt_end + return prompt + + @task("complete") + def complete(prompt): + res = openai.Completion.create( + engine="text-davinci-003", + prompt=prompt, + temperature=0, + max_tokens=400, + top_p=1, + frequency_penalty=0, + presence_penalty=0, + stop=None, + ) + return res["choices"][0]["text"].strip() + + @workflow(name="query_with_retrieve") + def run_query(query: str): + query_with_contexts = retrieve(query) + complete(query_with_contexts) + + query = ( + "Which training method should I use for sentence transformers when " + + "I only have pairs of related sentences?" + ) + run_query(query) + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "pinecone.query", + "retrieve.task", + "openai.completion", + "complete.task", + "query_with_retrieve.workflow", + ] diff --git a/packages/traceloop-sdk/tests/test_workflows.py b/packages/traceloop-sdk/tests/test_workflows.py new file mode 100644 index 0000000000..4ac5e9fc09 --- /dev/null +++ b/packages/traceloop-sdk/tests/test_workflows.py @@ -0,0 +1,27 @@ +import openai +from traceloop.sdk.decorators import workflow, task + + +def test_simple_workflow(exporter): + @task(name="joke_creation") + def create_joke(): + completion = openai.ChatCompletion.create( + model="gpt-3.5-turbo", + messages=[ + {"role": "user", "content": "Tell me a joke about opentelemetry"} + ], + ) + return completion.choices[0].message.content + + @workflow(name="pirate_joke_generator") + def joke_workflow(): + create_joke() + + joke_workflow() + + spans = exporter.get_finished_spans() + assert [span.name for span in spans] == [ + "openai.chat", + "joke_creation.task", + "pirate_joke_generator.workflow", + ] diff --git a/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py b/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py index 04643b1e21..bacaeba75f 100644 --- a/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py +++ b/packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py @@ -24,7 +24,7 @@ TRACER_NAME = "traceloop.tracer" TRACELOOP_API_ENDPOINT = "https://api.traceloop.dev" -EXCLUDED_URLS = "api.openai.com,openai.azure.com" +EXCLUDED_URLS = "api.openai.com,openai.azure.com,pinecone.io" class TracerWrapper(object): @@ -129,27 +129,37 @@ def init_tracer_provider() -> TracerProvider: def init_instrumentations(): - init_haystack_instrumentor() init_openai_instrumentor() + init_pinecone_instrumentor() + init_haystack_instrumentor() init_requests_instrumentor() init_urllib3_instrumentor() init_pymysql_instrumentor() -def init_haystack_instrumentor(): - if importlib.util.find_spec("haystack") is not None: - from opentelemetry.instrumentation.haystack import HaystackInstrumentor +def init_openai_instrumentor(): + if importlib.util.find_spec("openai") is not None: + from opentelemetry.instrumentation.openai import OpenAIInstrumentor - instrumentor = HaystackInstrumentor() + instrumentor = OpenAIInstrumentor() if not instrumentor.is_instrumented_by_opentelemetry: instrumentor.instrument() -def init_openai_instrumentor(): - if importlib.util.find_spec("openai") is not None: - from opentelemetry.instrumentation.openai import OpenAIInstrumentor +def init_pinecone_instrumentor(): + if importlib.util.find_spec("pinecone") is not None: + from opentelemetry.instrumentation.pinecone import PineconeInstrumentor - instrumentor = OpenAIInstrumentor() + instrumentor = PineconeInstrumentor() + if not instrumentor.is_instrumented_by_opentelemetry: + instrumentor.instrument() + + +def init_haystack_instrumentor(): + if importlib.util.find_spec("haystack") is not None: + from opentelemetry.instrumentation.haystack import HaystackInstrumentor + + instrumentor = HaystackInstrumentor() if not instrumentor.is_instrumented_by_opentelemetry: instrumentor.instrument()