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fix: changes to update pipecat version to 0.0.100 (#122)

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* feat: add stt evals

* add smart turn as provider

* chore: remove deprecations

* chore: format files

* fix: remove deprecated UserIdleProcessor

* fix: remove deprecated TranscriptProcessor

* chore: update pipecat submodule

* feat: add evals visualisation

* fix: trigger llm generation on client connected and pipeline started

* chore: update pipecat

* chore: update pipecat submodule

* Add tests

* fix: slow loading of workflow page

* chore: update pipecat submodule

* Show version after release

* Fixes #99

* fix: provider check for websocket connection

* Fixes #107

* Fix #96

* chore: fix documentation

* fix: cloudonix campaign call error

---------

Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
This commit is contained in:
Abhishek 2026-01-23 18:53:59 +05:30 • committed by GitHub
parent a4367bd83b
commit 911c5ed416
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104 changed files with 16919 additions and 597 deletions
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47
api/tasks/run_integrations.py
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@ -1,10 +1,11 @@
"""Execute webhook integrations after workflow run completion."""
from typing import Any, Dict
from typing import Any, Dict, Optional
import httpx
from loguru import logger
from api.constants import BACKEND_API_ENDPOINT
from api.db import db_client
from api.db.models import WorkflowRunModel
from api.utils.credential_auth import build_auth_header
@ -54,10 +55,13 @@ async def run_integrations_post_workflow_run(_ctx, workflow_run_id: int):
logger.info(f"Found {len(webhook_nodes)} webhook nodes to execute")
# Step 4: Build render context
render_context = _build_render_context(workflow_run)
# Step 4: Generate public access token (on-demand, only when webhooks exist)
public_token = await db_client.ensure_public_access_token(workflow_run_id)
# Step 5: Execute each webhook node
# Step 5: Build render context
render_context = _build_render_context(workflow_run, public_token)
# Step 6: Execute each webhook node
for node in webhook_nodes:
webhook_data = node.get("data", {})
try:
@ -77,9 +81,19 @@ async def run_integrations_post_workflow_run(_ctx, workflow_run_id: int):
raise
def _build_render_context(workflow_run: WorkflowRunModel) -> Dict[str, Any]:
"""Build the context dict for template rendering."""
return {
def _build_render_context(
workflow_run: WorkflowRunModel, public_token: Optional[str] = None
) -> Dict[str, Any]:
"""Build the context dict for template rendering.
Args:
workflow_run: The workflow run model
public_token: Optional public access token for download URLs
Returns:
Dict containing all fields available for template rendering
"""
context = {
# Top-level fields
"workflow_run_id": workflow_run.id,
"workflow_run_name": workflow_run.name,
@ -89,10 +103,25 @@ def _build_render_context(workflow_run: WorkflowRunModel) -> Dict[str, Any]:
"initial_context": workflow_run.initial_context or {},
"gathered_context": workflow_run.gathered_context or {},
"cost_info": workflow_run.usage_info or {},
"recording_url": getattr(workflow_run, "recording_url", None),
"transcript_url": getattr(workflow_run, "transcript_url", None),
}
# Add public download URLs if token is available
if public_token:
base_url = (
f"{BACKEND_API_ENDPOINT}/api/v1/public/download/workflow/{public_token}"
)
context["recording_url"] = (
f"{base_url}/recording" if workflow_run.recording_url else None
)
context["transcript_url"] = (
f"{base_url}/transcript" if workflow_run.transcript_url else None
)
else:
context["recording_url"] = workflow_run.recording_url
context["transcript_url"] = workflow_run.transcript_url
return context
async def _execute_webhook_node(
webhook_data: Dict[str, Any],