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feat: custom telemetry configuration

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This commit is contained in:
Abhishek Kumar 2026-03-23 11:36:39 +05:30
parent 1967a71935
commit affb39e57f
23 changed files with 927 additions and 139 deletions
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9
api/services/workflow/pipecat_engine.py
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@ -25,6 +25,7 @@ if TYPE_CHECKING:
from pipecat.services.anthropic.llm import AnthropicLLMService
from pipecat.services.google.llm import GoogleLLMService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.utils.tracing.tracing_context import TracingContext
LLMService = Union[OpenAILLMService, AnthropicLLMService, GoogleLLMService]
@ -135,7 +136,9 @@ class PipecatEngine:
Returns the turn-level context if available, otherwise the
conversation-level context, or None.
"""
tracing_ctx = getattr(self.task, "_tracing_context", None)
tracing_ctx: TracingContext | None = getattr(
self.task, "_tracing_context", None
)
if not tracing_ctx:
return None
return tracing_ctx.get_turn_context() or tracing_ctx.get_conversation_context()
@ -439,6 +442,10 @@ class PipecatEngine:
)
)
self._gathered_context.update(extracted_data)
extracted_variables = self._gathered_context.setdefault(
"extracted_variables", {}
)
extracted_variables.update(extracted_data)
logger.debug(
f"Variable extraction completed. Extracted: {extracted_data}"
)