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Consolidated endpoints to settings file

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This commit is contained in:
Viswamedha Nalabotu 2026-03-08 13:16:26 +00:00
parent 4843ecf9c0
commit c64c1d90c4
5 changed files with 13 additions and 6 deletions
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3
apps/knowledge/tasks.py
View file

@ -9,6 +9,7 @@ from pypdf import PdfReader
from apps.knowledge.models import RoleRagDocument, TrainingFile
def _decode_text_bytes(raw_bytes: bytes) -> str:
try:
return raw_bytes.decode('utf-8')
@ -63,7 +64,7 @@ def ingest_training_file_task(self, file_uuid):
for text_segment in _get_text_chunks(raw_text):
response = client.post(
f"{settings.INFERENCE_URL}/v1/semantic-chunk",
settings.INFERENCE_SEMANTIC_CHUNK_ENDPOINT,
json={"text": text_segment, "threshold": 95}
)
response.raise_for_status()

2
apps/onboarding/consumers.py
View file

@ -305,7 +305,7 @@ class OnboardingConsumer(AsyncWebsocketConsumer):
try:
response = await client.post(
f"{settings.INFERENCE_URL}/v1/chat/completions",
settings.INFERENCE_CHAT_COMPLETIONS_ENDPOINT,
json={
"model": llm_config.get("model_id", "meta-llama-3.1-8b"),
"messages": messages,

3
apps/onboarding/mcp.py
View file

@ -6,6 +6,7 @@ from pgvector.django import CosineDistance
from apps.knowledge.models import RoleRagDocument
from apps.onboarding.models import OnboardingSession
class MCPRouter:
def get_tool_definitions(self):
@ -47,7 +48,7 @@ class MCPRouter:
async def _get_embedding(self, text):
async with httpx.AsyncClient() as client:
response = await client.post(
f"{settings.INFERENCE_URL}/v1/embeddings",
settings.INFERENCE_EMBEDDINGS_ENDPOINT,
json={"input": text}
)

5
apps/onboarding/viewsets.py
View file

@ -15,6 +15,7 @@ from apps.accounts.permissions import CanManageOrganization, can_manage_organiza
from apps.onboarding.models import AgentConfig, AgentInteractionLog, OnboardingFlow, OnboardingSession
from apps.onboarding.serializers import AgentConfigSerializer, AgentInteractionLogSerializer, OnboardingFlowSerializer, OnboardingSessionSerializer
class OnboardingFlowViewSet(ModelViewSet):
queryset = OnboardingFlow.objects.all()
serializer_class = OnboardingFlowSerializer
@ -445,7 +446,7 @@ class OnboardingSessionViewSet(ModelViewSet):
try:
with httpx.Client(timeout=60.0) as client:
response = client.post(
f"{settings.INFERENCE_URL}/v1/chat/completions",
settings.INFERENCE_CHAT_COMPLETIONS_ENDPOINT,
json={
"model": (config.llm_config or {}).get("model_id", "meta-llama-3.1-8b"),
"messages": [
@ -482,7 +483,7 @@ class OnboardingSessionViewSet(ModelViewSet):
try:
with httpx.Client(timeout=60.0) as client:
response = client.post(
f"{settings.INFERENCE_URL}/v1/chat/completions",
settings.INFERENCE_CHAT_COMPLETIONS_ENDPOINT,
json={
"model": (config.llm_config or {}).get("model_id", "meta-llama-3.1-8b"),
"messages": [

6
config/settings.py
View file

@ -3,8 +3,9 @@ Django settings will use prefix of DJANGO_ for environment variables.
"""
import os
from pathlib import Path
import sys
from pathlib import Path
from dotenv import load_dotenv
BASE_DIR = Path(__file__).resolve().parent.parent
@ -27,6 +28,9 @@ DJANGO_CELERY_BROKER_URL = os.getenv('DJANGO_CELERY_BROKER_URL', 'redis://localh
INFERENCE_HOST = os.getenv('INFERENCE_HOST', 'localhost')
INFERENCE_PORT = os.getenv('INFERENCE_PORT', '8001')
INFERENCE_URL = f"http://{INFERENCE_HOST}:{INFERENCE_PORT}"
INFERENCE_SEMANTIC_CHUNK_ENDPOINT = f"{INFERENCE_URL}/v1/semantic-chunk"
INFERENCE_EMBEDDINGS_ENDPOINT = f"{INFERENCE_URL}/v1/embeddings"
INFERENCE_CHAT_COMPLETIONS_ENDPOINT = f"{INFERENCE_URL}/v1/chat/completions"
INFERENCE_INGEST_TIMEOUT = float(os.getenv('INFERENCE_INGEST_TIMEOUT', '600'))
STATIC_URL = os.getenv('DJANGO_STATIC_URL', '/static/')