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fix: fix org scoped access for resources

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This commit is contained in:
Abhishek Kumar 2026-07-09 16:39:34 +05:30
parent f3bcf24370
commit e4b53f78e9
47 changed files with 2667 additions and 400 deletions
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13
api/services/workflow/qa/llm_config.py
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@ -12,7 +12,7 @@ async def resolve_llm_config(
"""Resolve the LLM provider, model, API key, and extra kwargs for QA analysis.
If the QA node has its own LLM configuration (qa_use_workflow_llm=False),
use those settings directly. Otherwise, fall back to the user's configured LLM.
use those settings directly. Otherwise, fall back to the workflow/org LLM.
Returns:
(provider, model, api_key, service_kwargs) tuple — service_kwargs can be
@ -30,7 +30,7 @@ async def resolve_llm_config(
kwargs,
)
# Fall back to user's configured LLM
# Fall back to the workflow/org configured LLM
provider, model, api_key, kwargs = await resolve_user_llm_config(workflow_run)
if qa_data.qa_model and qa_data.qa_model != "default":
@ -42,17 +42,13 @@ async def resolve_llm_config(
async def resolve_user_llm_config(
workflow_run: WorkflowRunModel,
) -> tuple[str, str, str, dict]:
"""Resolve the user's configured LLM (from EffectiveAIModelConfiguration).
"""Resolve the workflow/org configured LLM.
Returns:
(provider, model, api_key, service_kwargs) tuple
"""
user_id = None
if workflow_run.workflow and workflow_run.workflow.user:
user_id = workflow_run.workflow.user.id
llm_config: dict = {}
if user_id:
if workflow_run.workflow:
from api.services.configuration.ai_model_configuration import (
get_effective_ai_model_configuration_for_workflow,
)
@ -68,7 +64,6 @@ async def resolve_user_llm_config(
)
user_configuration = await get_effective_ai_model_configuration_for_workflow(
user_id=user_id,
organization_id=workflow_run.workflow.organization_id
if workflow_run.workflow
else None,