Add preliminary AI analytics SDK

sentry_sdk/ai_analytics.py

@@ -0,0 +1,78 @@
+from functools import wraps
+
+from sentry_sdk import start_span
+from sentry_sdk.tracing import Span
+from sentry_sdk.utils import ContextVar
+from sentry_sdk._types import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from typing import Optional, Callable, Any
+
+_ai_pipeline_name = ContextVar("ai_pipeline_name", default=None)
+
+
+def set_ai_pipeline_name(name):
+    # type: (Optional[str]) -> None
+    _ai_pipeline_name.set(name)
+
+
+def get_ai_pipeline_name():
+    # type: () -> Optional[str]
+    return _ai_pipeline_name.get()
+
+
+def ai_pipeline(description, op="ai.pipeline", **span_kwargs):
+    # type: (str, str, Any) -> Callable[..., Any]
+    def decorator(f):
+        # type: (Callable[..., Any]) -> Callable[..., Any]
+        @wraps(f)
+        def wrapped(*args, **kwargs):
+            # type: (Any, Any) -> Any
+            with start_span(description=description, op=op, **span_kwargs):
+                _ai_pipeline_name.set(description)
+                res = f(*args, **kwargs)
+                _ai_pipeline_name.set(None)
+                return res
+
+        return wrapped
+
+    return decorator
+
+
+def ai_run(description, op="ai.run", **span_kwargs):
+    # type: (str, str, Any) -> Callable[..., Any]
+    def decorator(f):
+        # type: (Callable[..., Any]) -> Callable[..., Any]
+        @wraps(f)
+        def wrapped(*args, **kwargs):
+            # type: (Any, Any) -> Any
+            with start_span(description=description, op=op, **span_kwargs) as span:
+                curr_pipeline = _ai_pipeline_name.get()
+                if curr_pipeline:
+                    span.set_data("ai.pipeline.name", curr_pipeline)
+                return f(*args, **kwargs)
+
+        return wrapped
+
+    return decorator
+
+
+def record_token_usage(
+    span, prompt_tokens=None, completion_tokens=None, total_tokens=None
+):
+    # type: (Span, Optional[int], Optional[int], Optional[int]) -> None
+    ai_pipeline_name = get_ai_pipeline_name()
+    if ai_pipeline_name:
+        span.set_data("ai.pipeline.name", ai_pipeline_name)
+    if prompt_tokens is not None:
+        span.set_measurement("ai_prompt_tokens_used", value=prompt_tokens)
+    if completion_tokens is not None:
+        span.set_measurement("ai_completion_tokens_used", value=completion_tokens)
+    if (
+        total_tokens is None
+        and prompt_tokens is not None
+        and completion_tokens is not None
+    ):
+        total_tokens = prompt_tokens + completion_tokens
+    if total_tokens is not None:
+        span.set_measurement("ai_total_tokens_used", total_tokens)

sentry_sdk/integrations/_ai_common.py

@@ -1,7 +1,7 @@
 from sentry_sdk._types import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from typing import Any, Optional
+    from typing import Any
 
 from sentry_sdk.tracing import Span
 from sentry_sdk.utils import logger
@@ -30,21 +30,3 @@ def set_data_normalized(span, key, value):
     # type: (Span, str, Any) -> None
     normalized = _normalize_data(value)
     span.set_data(key, normalized)
-
-
-def record_token_usage(
-    span, prompt_tokens=None, completion_tokens=None, total_tokens=None
-):
-    # type: (Span, Optional[int], Optional[int], Optional[int]) -> None
-    if prompt_tokens is not None:
-        span.set_measurement("ai_prompt_tokens_used", value=prompt_tokens)
-    if completion_tokens is not None:
-        span.set_measurement("ai_completion_tokens_used", value=completion_tokens)
-    if (
-        total_tokens is None
-        and prompt_tokens is not None
-        and completion_tokens is not None
-    ):
-        total_tokens = prompt_tokens + completion_tokens
-    if total_tokens is not None:
-        span.set_measurement("ai_total_tokens_used", total_tokens)

sentry_sdk/integrations/langchain.py

@@ -3,8 +3,9 @@
 
 import sentry_sdk
 from sentry_sdk._types import TYPE_CHECKING
+from sentry_sdk.ai_analytics import set_ai_pipeline_name, record_token_usage
 from sentry_sdk.consts import OP, SPANDATA
-from sentry_sdk.integrations._ai_common import set_data_normalized, record_token_usage
+from sentry_sdk.integrations._ai_common import set_data_normalized
 from sentry_sdk.scope import should_send_default_pii
 from sentry_sdk.tracing import Span
 
@@ -88,6 +89,7 @@ class WatchedSpan:
     num_prompt_tokens = 0  # type: int
     no_collect_tokens = False  # type: bool
     children = []  # type: List[WatchedSpan]
+    is_pipeline = False  # type: bool
 
     def __init__(self, span):
         # type: (Span) -> None
@@ -134,9 +136,6 @@ def _normalize_langchain_message(self, message):
     def _create_span(self, run_id, parent_id, **kwargs):
         # type: (SentryLangchainCallback, UUID, Optional[Any], Any) -> WatchedSpan
 
-        if "origin" not in kwargs:
-            kwargs["origin"] = "auto.ai.langchain"
-
         watched_span = None  # type: Optional[WatchedSpan]
         if parent_id:
             parent_span = self.span_map[parent_id]  # type: Optional[WatchedSpan]
@@ -146,6 +145,11 @@ def _create_span(self, run_id, parent_id, **kwargs):
         if watched_span is None:
             watched_span = WatchedSpan(sentry_sdk.start_span(**kwargs))
 
+        if kwargs.get("op", "").startswith("ai.pipeline."):
+            if kwargs.get("description"):
+                set_ai_pipeline_name(kwargs.get("description"))
+            watched_span.is_pipeline = True
+
         watched_span.span.__enter__()
         self.span_map[run_id] = watched_span
         self.gc_span_map()
@@ -154,6 +158,9 @@ def _create_span(self, run_id, parent_id, **kwargs):
     def _exit_span(self, span_data, run_id):
         # type: (SentryLangchainCallback, WatchedSpan, UUID) -> None
 
+        if span_data.is_pipeline:
+            set_ai_pipeline_name(None)
+
         span_data.span.__exit__(None, None, None)
         del self.span_map[run_id]
 

sentry_sdk/integrations/openai.py

@@ -2,8 +2,9 @@
 
 from sentry_sdk import consts
 from sentry_sdk._types import TYPE_CHECKING
+from sentry_sdk.ai_analytics import record_token_usage
 from sentry_sdk.consts import SPANDATA
-from sentry_sdk.integrations._ai_common import set_data_normalized, record_token_usage
+from sentry_sdk.integrations._ai_common import set_data_normalized
 
 if TYPE_CHECKING:
     from typing import Any, Iterable, List, Optional, Callable, Iterator
@@ -141,7 +142,6 @@ def new_chat_completion(*args, **kwargs):
 
         span = sentry_sdk.start_span(
             op=consts.OP.OPENAI_CHAT_COMPLETIONS_CREATE,
-            origin="auto.ai.openai",
             description="Chat Completion",
         )
         span.__enter__()
@@ -225,7 +225,6 @@ def new_embeddings_create(*args, **kwargs):
         # type: (*Any, **Any) -> Any
         with sentry_sdk.start_span(
             op=consts.OP.OPENAI_EMBEDDINGS_CREATE,
-            origin="auto.ai.openai",
             description="OpenAI Embedding Creation",
         ) as span:
             integration = sentry_sdk.get_client().get_integration(OpenAIIntegration)