apunkt/dograh
1
0
Fork 0
mirror of https://github.com/dograh-hq/dograh.git synced 2026-06-28 08:49:42 +02:00
Code Issues Projects Releases Packages Wiki Activity

feat: agent versioning and model configurations override (#227)

Browse source 
* feat: add tests and migrations

* feat: workflow versioning among published and draft

* feat: add a new settings page to simplify workflow detail page

* fix: fix tsclient generation
This commit is contained in:
Abhishek 2026-04-08 19:20:31 +05:30 • committed by GitHub
parent f5fa9ce717
commit 38d1d928b7
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
62 changed files with 10158 additions and 3131 deletions
Download patch file Download diff file Expand all files Collapse all files

22
api/services/looptalk/core/pipeline_builder.py
View file

@ -76,13 +76,15 @@ class LoopTalkPipelineBuilder:
pipeline_sample_rate=16000,
)
# Use published definition for graph + configs
released_def = workflow.released_definition
wf_json = released_def.workflow_json
wf_configs = released_def.workflow_configurations or {}
# Extract keyterms from workflow configurations
keyterms = None
if (
workflow.workflow_configurations
and "dictionary" in workflow.workflow_configurations
):
dictionary = workflow.workflow_configurations["dictionary"]
if wf_configs and "dictionary" in wf_configs:
dictionary = wf_configs["dictionary"]
if dictionary and isinstance(dictionary, str):
keyterms = [
term.strip() for term in dictionary.split(",") if term.strip()
@ -90,6 +92,12 @@ class LoopTalkPipelineBuilder:
if keyterms:
logger.info(f"Using {len(keyterms)} keyterms for STT: {keyterms}")
# Resolve model overrides from the version onto global user config
from api.services.configuration.resolve import resolve_effective_config
model_overrides = wf_configs.get("model_overrides")
user_config = resolve_effective_config(user_config, model_overrides)
# Create services
stt = create_stt_service(user_config, audio_config, keyterms=keyterms)
llm = create_llm_service(user_config)
@ -98,9 +106,7 @@ class LoopTalkPipelineBuilder:
logger.debug(f"Created services for {role}: STT={stt}, LLM={llm}, TTS={tts}")
# Get workflow graph
workflow_graph = WorkflowGraph(
ReactFlowDTO.model_validate(workflow.workflow_definition_with_fallback)
)
workflow_graph = WorkflowGraph(ReactFlowDTO.model_validate(wf_json))
# Create engine first (needed for create_pipeline_components)
engine = PipecatEngine(