chore(pydantic-ai): Remove transaction-based tracing by alexander-alderman-webb · Pull Request #7390 · getsentry/sentry-python · GitHub
Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 2 additions & 3 deletions sentry_sdk/integrations/pydantic_ai/patches/agent_run.py
89 changes: 27 additions & 62 deletions sentry_sdk/integrations/pydantic_ai/spans/ai_client.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,13 +5,9 @@
from sentry_sdk.ai.utils import (
normalize_message_roles,
set_data_normalized,
truncate_and_annotate_messages,
)
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.traces import StreamedSpan
from sentry_sdk.tracing_utils import (
has_span_streaming_enabled,
)
from sentry_sdk.utils import safe_serialize

from ..consts import SPAN_ORIGIN
Expand Down Expand Up @@ -103,9 +99,7 @@ def _get_system_instructions(
return permanent_instructions, current_instructions


def _set_input_messages(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]", messages: "Any"
) -> None:
def _set_input_messages(span: "StreamedSpan", messages: "Any") -> None:
"""Set input messages data on a span."""
if not _should_send_inputs():
return
Expand All @@ -115,24 +109,14 @@ def _set_input_messages(

permanent_instructions, current_instructions = _get_system_instructions(messages)
if len(permanent_instructions) > 0 or len(current_instructions) > 0:
if isinstance(span, StreamedSpan):
span.set_attribute(
SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS,
json.dumps(
_transform_system_instructions(
permanent_instructions, current_instructions
)
),
)
else:
span.set_data(
SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS,
json.dumps(
_transform_system_instructions(
permanent_instructions, current_instructions
)
),
)
span.set_attribute(
SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS,
json.dumps(
_transform_system_instructions(
permanent_instructions, current_instructions
)
),
)

try:
formatted_messages = []
Expand Down Expand Up @@ -216,23 +200,19 @@ def _set_input_messages(

if formatted_messages:
normalized_messages = normalize_message_roles(formatted_messages)
client = sentry_sdk.get_client()
scope = sentry_sdk.get_current_scope()
messages_data = (
truncate_and_annotate_messages(normalized_messages, span, scope)
if not has_span_streaming_enabled(client.options)
else normalized_messages
)
set_data_normalized(
span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False
span,
SPANDATA.GEN_AI_REQUEST_MESSAGES,
normalized_messages,
unpack=False,
)
except Exception:
# If we fail to format messages, just skip it
pass


def _set_output_data(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]",
span: "StreamedSpan",
response: "Optional[ModelResponse]",
) -> None:
"""Set output data on a span."""
Expand All @@ -241,10 +221,7 @@ def _set_output_data(
if not response:
return

set_on_span = (
span.set_attribute if isinstance(span, StreamedSpan) else span.set_data
)
set_on_span(SPANDATA.GEN_AI_RESPONSE_MODEL, response.model_name) # type: ignore[arg-type]
span.set_attribute(SPANDATA.GEN_AI_RESPONSE_MODEL, response.model_name) # type: ignore[arg-type]

if not record_outputs:
return
Expand Down Expand Up @@ -280,7 +257,7 @@ def _set_output_data(
parts.append(tool_part)

if parts:
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_OUTPUT_MESSAGES,
json.dumps([{"role": "assistant", "parts": parts}]),
)
Expand All @@ -292,7 +269,7 @@ def _set_output_data(

def ai_client_span(
messages: "Any", agent: "Any", model: "Any", model_settings: "Any"
) -> "Union[sentry_sdk.tracing.Span, StreamedSpan]":
) -> "StreamedSpan":
"""Create a span for an AI client call (model request).

Args:
Expand All @@ -308,27 +285,15 @@ def ai_client_span(

model_name = _get_model_name(model_obj) or "unknown"

span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)
if span_streaming:
span = sentry_sdk.traces.start_span(
name=f"chat {model_name}",
attributes={
"sentry.op": OP.GEN_AI_CHAT,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "chat",
SPANDATA.GEN_AI_RESPONSE_STREAMING: get_is_streaming(),
},
)
else:
span = sentry_sdk.start_span(
op=OP.GEN_AI_CHAT,
name=f"chat {model_name}",
origin=SPAN_ORIGIN,
)

span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "chat")
# Set streaming flag from contextvar
span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, get_is_streaming())
span = sentry_sdk.traces.start_span(
name=f"chat {model_name}",
attributes={
"sentry.op": OP.GEN_AI_CHAT,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "chat",
SPANDATA.GEN_AI_RESPONSE_STREAMING: get_is_streaming(),
},
)

_set_agent_data(span, agent)
_set_model_data(span, model, model_settings)
Expand All @@ -345,7 +310,7 @@ def ai_client_span(


def update_ai_client_span(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]",
span: "StreamedSpan",
model_response: "Optional[ModelResponse]",
) -> None:
"""Update the AI client span with response data."""
Expand Down
51 changes: 15 additions & 36 deletions sentry_sdk/integrations/pydantic_ai/spans/execute_tool.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,14 +3,13 @@
import sentry_sdk
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.traces import StreamedSpan
from sentry_sdk.tracing_utils import has_span_streaming_enabled
from sentry_sdk.utils import safe_serialize

from ..consts import SPAN_ORIGIN
from ..utils import _set_agent_data, _should_send_inputs, _should_send_outputs

if TYPE_CHECKING:
from typing import Any, Optional, Union
from typing import Any, Optional

from pydantic_ai._tool_manager import ToolDefinition # type: ignore

Expand All @@ -20,7 +19,7 @@ def execute_tool_span(
tool_args: "Any",
agent: "Any",
tool_definition: "Optional[ToolDefinition]" = None,
) -> "Union[sentry_sdk.tracing.Span, StreamedSpan]":
) -> "StreamedSpan":
"""Create a span for tool execution.

Args:
Expand All @@ -29,56 +28,36 @@ def execute_tool_span(
agent: The agent executing the tool
tool_definition: The definition of the tool, if available
"""
span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)
if span_streaming:
span = sentry_sdk.traces.start_span(
name=f"execute_tool {tool_name}",
attributes={
"sentry.op": OP.GEN_AI_EXECUTE_TOOL,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "execute_tool",
SPANDATA.GEN_AI_TOOL_NAME: tool_name,
},
)

set_on_span = span.set_attribute
else:
span = sentry_sdk.start_span(
op=OP.GEN_AI_EXECUTE_TOOL,
name=f"execute_tool {tool_name}",
origin=SPAN_ORIGIN,
)

span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "execute_tool")
span.set_data(SPANDATA.GEN_AI_TOOL_NAME, tool_name)

set_on_span = span.set_data
span = sentry_sdk.traces.start_span(
name=f"execute_tool {tool_name}",
attributes={
"sentry.op": OP.GEN_AI_EXECUTE_TOOL,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "execute_tool",
SPANDATA.GEN_AI_TOOL_NAME: tool_name,
},
)

if tool_definition is not None and hasattr(tool_definition, "description"):
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_TOOL_DESCRIPTION,
tool_definition.description,
)

_set_agent_data(span, agent)

if _should_send_inputs() and tool_args is not None:
set_on_span(SPANDATA.GEN_AI_TOOL_INPUT, safe_serialize(tool_args))
span.set_attribute(SPANDATA.GEN_AI_TOOL_INPUT, safe_serialize(tool_args))

return span


def update_execute_tool_span(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]", result: "Any"
) -> None:
def update_execute_tool_span(span: "StreamedSpan", result: "Any") -> None:
"""Update the execute tool span with the result."""
if not span:
return

if not _should_send_outputs() or result is None:
return

if isinstance(span, StreamedSpan):
span.set_attribute(SPANDATA.GEN_AI_TOOL_OUTPUT, safe_serialize(result))
else:
span.set_data(SPANDATA.GEN_AI_TOOL_OUTPUT, safe_serialize(result))
span.set_attribute(SPANDATA.GEN_AI_TOOL_OUTPUT, safe_serialize(result))
56 changes: 16 additions & 40 deletions sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py
Loading
Loading