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47 changes: 14 additions & 33 deletions sentry_sdk/integrations/openai_agents/spans/ai_client.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,6 @@
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.integrations import DidNotEnable
from sentry_sdk.traces import StreamedSpan
from sentry_sdk.tracing_utils import has_span_streaming_enabled
from sentry_sdk.utils import has_data_collection_enabled

try:
Expand Down Expand Up @@ -210,41 +209,27 @@ def ai_client_span(

client_options = sentry_sdk.get_client().options

span_streaming = has_span_streaming_enabled(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",
},
)

set_on_span = span.set_attribute
else:
span = sentry_sdk.start_span(
op=OP.GEN_AI_CHAT,
name=f"chat {model_name}",
origin=SPAN_ORIGIN,
)
# TODO-anton: remove hardcoded stuff and replace something that also works for embedding and so on
span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "chat")

set_on_span = span.set_data
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",
},
)

_set_agent_data(span, agent)

if has_data_collection_enabled(client_options):
if client_options["data_collection"]["gen_ai"]["inputs"]:
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_TOOL_DEFINITIONS,
json.dumps(_transform_tool_definitions(agent.tools)),
)
else:
# This is set unconditionally prior to data collection being introduced.
# Remove this block once data collection is fully rolled out
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_TOOL_DEFINITIONS,
json.dumps(_transform_tool_definitions(agent.tools)),
)
Expand All @@ -255,7 +240,7 @@ def ai_client_span(


def update_ai_client_span(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]",
span: "StreamedSpan",
response: "Any",
response_model: "Optional[str]" = None,
agent: "Optional[Agent]" = None,
Expand All @@ -267,17 +252,13 @@ def update_ai_client_span(
if hasattr(response, "output") and response.output:
_set_output_data(span, response)

set_on_span = (
span.set_attribute if isinstance(span, StreamedSpan) else span.set_data
)

if response_model is not None:
set_on_span(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model)
span.set_attribute(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model)
elif hasattr(response, "model") and response.model:
set_on_span(SPANDATA.GEN_AI_RESPONSE_MODEL, str(response.model))
span.set_attribute(SPANDATA.GEN_AI_RESPONSE_MODEL, str(response.model))

# Set conversation ID from agent if available
if agent:
conv_id = getattr(agent, "_sentry_conversation_id", None)
if conv_id:
set_on_span(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
span.set_attribute(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
35 changes: 10 additions & 25 deletions sentry_sdk/integrations/openai_agents/spans/execute_tool.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
from sentry_sdk.consts import OP, SPANDATA, SPANSTATUS
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.traces import SpanStatus, StreamedSpan
from sentry_sdk.tracing_utils import has_span_streaming_enabled
from sentry_sdk.utils import has_data_collection_enabled

from ..consts import SPAN_ORIGIN
Expand All @@ -19,30 +18,16 @@
def execute_tool_span(
tool: "agents.Tool", *args: "Any", **kwargs: "Any"
) -> "Union[sentry_sdk.tracing.Span, StreamedSpan]":
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,
SPANDATA.GEN_AI_TOOL_DESCRIPTION: tool.description,
},
)
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)
span.set_data(SPANDATA.GEN_AI_TOOL_DESCRIPTION, tool.description)
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,
SPANDATA.GEN_AI_TOOL_DESCRIPTION: tool.description,
},
)

return span

Expand Down
39 changes: 12 additions & 27 deletions sentry_sdk/integrations/openai_agents/spans/handoff.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@

import sentry_sdk
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.tracing_utils import has_span_streaming_enabled

from ..consts import SPAN_ORIGIN

Expand All @@ -13,29 +12,15 @@
def handoff_span(
context: "agents.RunContextWrapper", from_agent: "agents.Agent", to_agent_name: str
) -> None:
span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)
if span_streaming:
with sentry_sdk.traces.start_span(
name=f"handoff from {from_agent.name} to {to_agent_name}",
attributes={
"sentry.op": OP.GEN_AI_HANDOFF,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "handoff",
},
) as span:
# Add conversation ID from agent
conv_id = getattr(from_agent, "_sentry_conversation_id", None)
if conv_id:
span.set_attribute(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
else:
with sentry_sdk.start_span(
op=OP.GEN_AI_HANDOFF,
name=f"handoff from {from_agent.name} to {to_agent_name}",
origin=SPAN_ORIGIN,
) as span:
span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "handoff")

# Add conversation ID from agent
conv_id = getattr(from_agent, "_sentry_conversation_id", None)
if conv_id:
span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
with sentry_sdk.traces.start_span(
name=f"handoff from {from_agent.name} to {to_agent_name}",
attributes={
"sentry.op": OP.GEN_AI_HANDOFF,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "handoff",
},
) as span:
# Add conversation ID from agent
conv_id = getattr(from_agent, "_sentry_conversation_id", None)
if conv_id:
span.set_attribute(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
29 changes: 8 additions & 21 deletions sentry_sdk/integrations/openai_agents/spans/invoke_agent.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@

import sentry_sdk
from sentry_sdk.ai.utils import (
get_start_span_function,
normalize_message_roles,
set_data_normalized,
truncate_and_annotate_messages,
Expand All @@ -28,26 +27,14 @@ def invoke_agent_span(
context: "agents.RunContextWrapper", agent: "agents.Agent", kwargs: "dict[str, Any]"
) -> "Union[sentry_sdk.tracing.Span, StreamedSpan]":
client_options = sentry_sdk.get_client().options
span_streaming = has_span_streaming_enabled(client_options)
if span_streaming:
span = sentry_sdk.traces.start_span(
name=f"invoke_agent {agent.name}",
attributes={
"sentry.op": OP.GEN_AI_INVOKE_AGENT,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "invoke_agent",
},
)
else:
start_span_function = get_start_span_function()
span = start_span_function(
op=OP.GEN_AI_INVOKE_AGENT,
name=f"invoke_agent {agent.name}",
origin=SPAN_ORIGIN,
)
span.__enter__()

span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent")
span = sentry_sdk.traces.start_span(
name=f"invoke_agent {agent.name}",
attributes={
"sentry.op": OP.GEN_AI_INVOKE_AGENT,
"sentry.origin": SPAN_ORIGIN,
SPANDATA.GEN_AI_OPERATION_NAME: "invoke_agent",
},
)

record_inputs = False
if has_data_collection_enabled(client_options):
Expand Down
51 changes: 20 additions & 31 deletions sentry_sdk/integrations/openai_agents/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@
)

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

from agents import TResponseInputItem, Usage

Expand All @@ -48,21 +48,17 @@ def _capture_exception(exc: "Any") -> None:
sentry_sdk.capture_event(event, hint=hint)


def _set_agent_data(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]", agent: "agents.Agent"
) -> None:
set_on_span = (
span.set_attribute if isinstance(span, StreamedSpan) else span.set_data
)

set_on_span(
def _set_agent_data(span: "StreamedSpan", agent: "agents.Agent") -> None:
span.set_attribute(
SPANDATA.GEN_AI_SYSTEM, "openai"
) # See footnote for https://opentelemetry.io/docs/specs/semconv/registry/attributes/gen-ai/#gen-ai-system for explanation why.

set_on_span(SPANDATA.GEN_AI_AGENT_NAME, agent.name)
span.set_attribute(SPANDATA.GEN_AI_AGENT_NAME, agent.name)

if agent.model_settings.max_tokens:
set_on_span(SPANDATA.GEN_AI_REQUEST_MAX_TOKENS, agent.model_settings.max_tokens)
span.set_attribute(
SPANDATA.GEN_AI_REQUEST_MAX_TOKENS, agent.model_settings.max_tokens
)

# Get model name from agent.model or fall back to request model (for when agent.model is None/default)
model_name = None
Expand All @@ -72,50 +68,45 @@ def _set_agent_data(
model_name = agent._sentry_request_model

if model_name:
set_on_span(SPANDATA.GEN_AI_REQUEST_MODEL, model_name)
span.set_attribute(SPANDATA.GEN_AI_REQUEST_MODEL, model_name)

if agent.model_settings.presence_penalty:
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_REQUEST_PRESENCE_PENALTY,
agent.model_settings.presence_penalty,
)

if agent.model_settings.temperature:
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_REQUEST_TEMPERATURE, agent.model_settings.temperature
)

if agent.model_settings.top_p:
set_on_span(SPANDATA.GEN_AI_REQUEST_TOP_P, agent.model_settings.top_p)
span.set_attribute(SPANDATA.GEN_AI_REQUEST_TOP_P, agent.model_settings.top_p)

if agent.model_settings.frequency_penalty:
set_on_span(
span.set_attribute(
SPANDATA.GEN_AI_REQUEST_FREQUENCY_PENALTY,
agent.model_settings.frequency_penalty,
)


def _set_usage_data(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]", usage: "Usage"
) -> None:
set_on_span = (
span.set_attribute if isinstance(span, StreamedSpan) else span.set_data
)
set_on_span(SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens)
set_on_span(
def _set_usage_data(span: "StreamedSpan", usage: "Usage") -> None:
span.set_attribute(SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens)
span.set_attribute(
SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHED,
usage.input_tokens_details.cached_tokens,
)
set_on_span(SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens)
set_on_span(
span.set_attribute(SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens)
span.set_attribute(
SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS_REASONING,
usage.output_tokens_details.reasoning_tokens,
)
set_on_span(SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens)
span.set_attribute(SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens)


def _set_input_data(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]",
span: "StreamedSpan",
get_response_kwargs: "dict[str, Any]",
) -> None:
client = sentry_sdk.get_client()
Expand Down Expand Up @@ -205,9 +196,7 @@ def _set_input_data(
)


def _set_output_data(
span: "Union[sentry_sdk.tracing.Span, StreamedSpan]", result: "Any"
) -> None:
def _set_output_data(span: "StreamedSpan", result: "Any") -> None:
client = sentry_sdk.get_client()
record_outputs = False
if has_data_collection_enabled(client.options):
Expand Down
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