diff --git a/api/services/workflow/qa/node_summary.py b/api/services/workflow/qa/node_summary.py index aaeb7d30..c474abe8 100644 --- a/api/services/workflow/qa/node_summary.py +++ b/api/services/workflow/qa/node_summary.py @@ -7,6 +7,7 @@ from pipecat.processors.aggregators.llm_context import LLMContext from api.db import db_client from api.db.models import WorkflowRunModel +from api.services.managed_model_services import get_mps_correlation_id from api.services.pipecat.service_factory import create_llm_service_from_provider from api.services.workflow.dto import NodeType, QANodeData from api.services.workflow.qa.llm_config import resolve_llm_config @@ -75,7 +76,15 @@ async def ensure_node_summaries( logger.warning("No API key for node summary generation, skipping") return existing_summaries - llm = create_llm_service_from_provider(provider, model, api_key, **service_kwargs) + # Reuse the run's MPS correlation id (minted at run start, persisted on + # initial_context) so managed-model-services calls carry billing-v2 + # markers — orgs on billing v2 reject managed calls that lack them. + mps_correlation_id = get_mps_correlation_id( + getattr(workflow_run, "initial_context", None) + ) + llm = create_llm_service_from_provider( + provider, model, api_key, correlation_id=mps_correlation_id, **service_kwargs + ) updated_summaries = dict(existing_summaries) diff --git a/api/services/workflow/text_chat_runner.py b/api/services/workflow/text_chat_runner.py index 662943e6..7fa31d4a 100644 --- a/api/services/workflow/text_chat_runner.py +++ b/api/services/workflow/text_chat_runner.py @@ -532,6 +532,9 @@ async def execute_text_chat_pending_turn( embeddings_api_key = None embeddings_model = None embeddings_base_url = None + embeddings_provider = None + embeddings_endpoint = None + embeddings_api_version = None if user_config.embeddings: from api.services.configuration.ai_model_configuration import ( apply_managed_embeddings_base_url, @@ -544,6 +547,8 @@ async def execute_text_chat_pending_turn( provider=embeddings_provider, base_url=getattr(user_config.embeddings, "base_url", None), ) + embeddings_endpoint = getattr(user_config.embeddings, "endpoint", None) + embeddings_api_version = getattr(user_config.embeddings, "api_version", None) has_recordings = await db_client.has_active_recordings(workflow.organization_id) context_compaction_enabled = (workflow.workflow_configurations or {}).get( @@ -560,6 +565,9 @@ async def execute_text_chat_pending_turn( embeddings_api_key=embeddings_api_key, embeddings_model=embeddings_model, embeddings_base_url=embeddings_base_url, + embeddings_provider=embeddings_provider, + embeddings_endpoint=embeddings_endpoint, + embeddings_api_version=embeddings_api_version, has_recordings=has_recordings, context_compaction_enabled=context_compaction_enabled, )