Token estimation langchain

pyproject.toml

@@ -12,10 +12,10 @@ description = "Python SDK for LangTrace"
 readme = "README.md"
 authors = [{ name = "Scale3 Labs", email = "engineering@scale3labs.com" }]
 license = "Apache-2.0"
-classifiers=[
-    "Programming Language :: Python :: 3",
-    "License :: OSI Approved :: Apache Software License",
-    "Operating System :: OS Independent",
+classifiers = [
+  "Programming Language :: Python :: 3",
+  "License :: OSI Approved :: Apache Software License",
+  "Operating System :: OS Independent",
 ]
 dependencies = [
   'trace-attributes==7.0.4',
@@ -28,40 +28,36 @@ dependencies = [
   'tiktoken>=0.1.1',
   'colorama>=0.4.6',
   'sqlalchemy',
-  'fsspec>=2024.6.0'
+  'fsspec>=2024.6.0',
+  "transformers>=4.11.3",
 ]
 
 requires-python = ">=3.9"
 
 [project.optional-dependencies]
 dev = [
-    "openai==1.30.1",
-    "anthropic",
-    "chromadb",
-    "qdrant-client",
-    "python-dotenv",
-    "pinecone-client",
-    "langchain",
-    "langchain-community",
-    "langchain-openai",
-    "langchain-openai",
-    "chromadb",
-    "cohere",
-    "qdrant_client",
-    "weaviate-client",
-    "ollama",
-    "groq",
-    "google-generativeai",
-    "google-cloud-aiplatform",
-    "mistralai"
-]
-
-test = [
-    "pytest",
-    "pytest-vcr",
-    "pytest-asyncio",
+  "openai==1.30.1",
+  "anthropic",
+  "chromadb",
+  "qdrant-client",
+  "python-dotenv",
+  "pinecone-client",
+  "langchain",
+  "langchain-community",
+  "langchain-openai",
+  "langchain-openai",
+  "chromadb",
+  "cohere",
+  "qdrant_client",
+  "weaviate-client",
+  "ollama",
+  "groq",
+  "google-generativeai",
+  "google-cloud-aiplatform",
+  "mistralai",
 ]
 
+test = ["pytest", "pytest-vcr", "pytest-asyncio"]
 
 
 [project.urls]
@@ -72,9 +68,7 @@ Homepage = "https://github.com/Scale3-Labs/langtrace-python-sdk"
 path = "src/langtrace_python_sdk/version.py"
 
 [tool.hatch.build.targets.sdist]
-include = [
-  "/src",
-]
+include = ["/src"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["src/langtrace_python_sdk", "src/examples", "src/tests"]

src/langtrace_python_sdk/instrumentation/langchain_community/patch.py

@@ -23,6 +23,7 @@
 
 from opentelemetry.trace import SpanKind
 from opentelemetry.trace.status import Status, StatusCode
+from langtrace.trace_attributes import SpanAttributes
 
 from langtrace_python_sdk.constants.instrumentation.common import (
     LANGTRACE_ADDITIONAL_SPAN_ATTRIBUTES_KEY,
@@ -71,6 +72,16 @@ def traced_method(wrapped, instance, args, kwargs):
                 if trace_output:
                     span.set_attribute("langchain.outputs", to_json_string(result))
 
+                    prompt_tokens = instance.get_num_tokens(args[0])
+                    completion_tokens = instance.get_num_tokens(result)
+                    if hasattr(result, 'usage'):
+                        prompt_tokens = result.usage.prompt_tokens
+                        completion_tokens = result.usage.completion_tokens
+
+                    span.set_attribute(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS, prompt_tokens)
+                    span.set_attribute(SpanAttributes.LLM_USAGE_PROMPT_TOKENS, completion_tokens)
+
+
                 span.set_status(StatusCode.OK)
                 return result
             except Exception as err:

src/langtrace_python_sdk/instrumentation/langchain_core/patch.py

@@ -30,6 +30,7 @@
 from importlib_metadata import version as v
 
 from langtrace_python_sdk.constants import LANGTRACE_SDK_NAME
+from langtrace.trace_attributes import SpanAttributes
 
 
 def generic_patch(
@@ -78,8 +79,22 @@ def traced_method(wrapped, instance, args, kwargs):
             try:
                 # Attempt to call the original method
                 result = wrapped(*args, **kwargs)
+
                 if trace_output:
                     span.set_attribute("langchain.outputs", to_json_string(result))
+                    if hasattr(result, 'usage'):
+                        prompt_tokens = result.usage.prompt_tokens
+                        completion_tokens = result.usage.completion_tokens
+                        span.set_attribute(SpanAttributes.LLM_USAGE_PROMPT_TOKENS, prompt_tokens)
+                        span.set_attribute(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS, completion_tokens)
+
+                    elif result.generations[0][0].text:
+                        span.set_attribute(SpanAttributes.LLM_USAGE_COMPLETION_TOKENS, instance.get_num_tokens(result.generations[0][0].text))
+                    elif isinstance(args[0][0], str):
+                        span.set_attribute(SpanAttributes.LLM_USAGE_PROMPT_TOKENS, instance.get_num_tokens(args[0][0]))
+
+                    else:
+                        span.set_attribute(SpanAttributes.LLM_USAGE_PROMPT_TOKENS, instance.get_num_tokens(args[0][0].text))
 
                 span.set_status(StatusCode.OK)
                 return result
@@ -156,6 +171,7 @@ def traced_method(wrapped, instance, args, kwargs):
             try:
                 # Attempt to call the original method
                 result = wrapped(*args, **kwargs)
+
                 if trace_output:
                     outputs = {}
                     if isinstance(result, dict):

src/langtrace_python_sdk/instrumentation/openai/patch.py

@@ -44,7 +44,7 @@
     StreamWrapper,
     set_span_attributes,
 )
-from openai._types import NOT_GIVEN
+from langtrace_python_sdk.types import NOT_GIVEN
 
 
 def images_generate(original_method, version, tracer):

src/langtrace_python_sdk/types/__init__.py

@@ -1,4 +1,4 @@
-from typing import List, Literal, TypedDict
+from typing import List, Literal, TypeVar, TypedDict, Union
 from enum import Enum
 
 
@@ -111,3 +111,32 @@ class InstrumentationMethods(TypedDict):
     anthropic: List[VendorMethods.AnthropicMethods]
     cohere: List[VendorMethods.CohereMethods]
     weaviate: List[str]
+
+_T = TypeVar("_T")
+class NotGiven:
+    """
+    A sentinel singleton class used to distinguish omitted keyword arguments
+    from those passed in with the value None (which may have different behavior).
+
+    For example:
+
+    ```py
+    def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response:
+        ...
+
+
+    get(timeout=1)  # 1s timeout
+    get(timeout=None)  # No timeout
+    get()  # Default timeout behavior, which may not be statically known at the method definition.
+    ```
+    """
+
+    def __bool__(self) -> Literal[False]:
+        return False
+
+    def __repr__(self) -> str:
+        return "NOT_GIVEN"
+
+
+NotGivenOr = Union[_T, NotGiven]
+NOT_GIVEN = NotGiven()

src/langtrace_python_sdk/utils/__init__.py

@@ -1,4 +1,4 @@
-from openai import NOT_GIVEN
+from langtrace_python_sdk.types import NOT_GIVEN
 from .sdk_version_checker import SDKVersionChecker
 from opentelemetry.trace import Span
 from langtrace.trace_attributes import SpanAttributes

src/langtrace_python_sdk/utils/llm.py

@@ -16,7 +16,7 @@
 
 from langtrace_python_sdk.constants import LANGTRACE_SDK_NAME
 from langtrace_python_sdk.utils import set_span_attribute
-from openai import NOT_GIVEN
+from langtrace_python_sdk.types import NOT_GIVEN
 from tiktoken import get_encoding
 from tiktoken import get_encoding, list_encoding_names
 

src/langtrace_python_sdk/version.py

@@ -1 +1 @@
-__version__ = "2.2.29"
+__version__ = "2.2.30"