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fix(integrations): ensure that GEN_AI_AGENT_NAME is properly set for GEN_AI spans under an invoke_agent span #5030
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -276,6 +276,14 @@ def on_chat_model_start(self, serialized, messages, *, run_id, **kwargs): | |
| elif "openai" in ai_type: | ||
| span.set_data(SPANDATA.GEN_AI_SYSTEM, "openai") | ||
|
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| agent_name = ( | ||
| sentry_sdk.get_current_scope() | ||
| ._contexts.get("langchain_agent", {}) | ||
| .get("agent_name") | ||
| ) | ||
| if agent_name: | ||
| span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) | ||
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||
| for key, attribute in DATA_FIELDS.items(): | ||
| if key in all_params and all_params[key] is not None: | ||
| set_data_normalized(span, attribute, all_params[key], unpack=False) | ||
|
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@@ -428,6 +436,14 @@ def on_tool_start(self, serialized, input_str, *, run_id, **kwargs): | |
| if tool_description is not None: | ||
| span.set_data(SPANDATA.GEN_AI_TOOL_DESCRIPTION, tool_description) | ||
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||
| agent_name = ( | ||
| sentry_sdk.get_current_scope() | ||
| ._contexts.get("langchain_agent", {}) | ||
| .get("agent_name") | ||
| ) | ||
| if agent_name: | ||
| span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) | ||
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||
| if should_send_default_pii() and self.include_prompts: | ||
| set_data_normalized( | ||
| span, | ||
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@@ -756,6 +772,9 @@ def new_invoke(self, *args, **kwargs): | |
| name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent", | ||
| origin=LangchainIntegration.origin, | ||
| ) as span: | ||
| sentry_sdk.get_current_scope().set_context( | ||
| "langchain_agent", {"agent_name": agent_name, "tools": tools} | ||
| ) | ||
| if agent_name: | ||
| span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) | ||
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@@ -794,6 +813,8 @@ def new_invoke(self, *args, **kwargs): | |
| ): | ||
| set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) | ||
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||
| sentry_sdk.get_current_scope().remove_context("langchain_agent") | ||
|
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| return result | ||
|
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| return new_invoke | ||
|
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@@ -814,11 +835,15 @@ def new_stream(self, *args, **kwargs): | |
|
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| span = start_span_function( | ||
| op=OP.GEN_AI_INVOKE_AGENT, | ||
| name=f"invoke_agent {agent_name}".strip(), | ||
| name=f"invoke_agent {agent_name}" if agent_name else "invoke_agent", | ||
| origin=LangchainIntegration.origin, | ||
| ) | ||
| span.__enter__() | ||
|
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||
| sentry_sdk.get_current_scope().set_context( | ||
| "langchain_agent", {"agent_name": agent_name, "tools": tools} | ||
| ) | ||
|
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||
| if agent_name: | ||
| span.set_data(SPANDATA.GEN_AI_AGENT_NAME, agent_name) | ||
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@@ -868,6 +893,8 @@ def new_iterator(): | |
| ): | ||
| set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) | ||
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| sentry_sdk.get_current_scope().remove_context("langchain_agent") | ||
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| span.__exit__(None, None, None) | ||
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| async def new_iterator_async(): | ||
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@@ -887,6 +914,8 @@ async def new_iterator_async(): | |
| ): | ||
| set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output) | ||
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| sentry_sdk.get_current_scope().remove_context("langchain_agent") | ||
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|
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| span.__exit__(None, None, None) | ||
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| if str(type(result)) == "<class 'async_generator'>": | ||
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