Fix compatibility issue with older memory provider

Author: vmesel

docker-compose-open-webui.yml

@@ -1,4 +1,3 @@
-version: '3.3'
 services:
   db:
     image: pgvector/pgvector:pg15

docker-compose.dev-container.yml

@@ -1,4 +1,3 @@
-version: "3.3"
 services:
   db:
     image: pgvector/pgvector:pg15

poetry.lock

@@ -16,15 +16,15 @@ uvicorn = { extras = ["standard"], version = "0.24.0.post1" }
 psycopg2 = "2.9.9"
 python-decouple = "3.8"
 pydantic = "2.7.4"
-psycopg = "3.1.12"
+psycopg = "3.2.2"
 tiktoken = "<1"
 pandas = "2.1.3"
 scikit-learn = "1.5.0"
 alembic = "1.12.1"
 importlib-metadata = "7.0.1"
 pyarrow = "15.0.0"
 iniconfig = "2.0.0"
-dialog-lib = "0.0.2.7"
+dialog-lib = "0.0.3.0"
 langserve = "0.2.0"
 sse-starlette = "2.1.0"
 

pyproject.toml

@@ -26,19 +26,34 @@ async def get_models():
     Returns the model that is available inside Dialog in the OpenAI format.
     """
 
-    return [OpenAIModel(**{
-        "id": "talkd-ai",
-        "object": "model",
-        "created": int(datetime.datetime.now().timestamp()),
-        "owned_by": "system"
-    })] + [
-        OpenAIModel(**{
-            "id": model["model_name"],
-            "object": "model",
-            "created": int(datetime.datetime.now().timestamp()),
-            "owned_by": "system"
-        }) for model in Settings().PROJECT_CONFIG.get("endpoint", [])
-    ]
+    return {
+        "models": [
+            OpenAIModel(**{
+                "id": "talkd-ai",
+                "object": "model",
+                "created": int(datetime.datetime.now().timestamp()),
+                "owned_by": "system",
+                "digest": str(uuid4())
+            })
+        ] + [
+            OpenAIModel(**{
+                "id": model["model_name"],
+                "object": "model",
+                "created": int(datetime.datetime.now().timestamp()),
+                "owned_by": "system",
+                "digest": str(uuid4())
+            }) for model in Settings().PROJECT_CONFIG.get("endpoint", [])
+        ]
+    }
+
+@open_ai_api_router.get("/api/tags")
+async def get_tags():
+    """
+    Returns the tags that are available inside Dialog in the OpenAI format.
+    """
+
+    return await get_models()
+
 
 @open_ai_api_router.post("/chat/completions")
 async def ask_question_to_llm(message: OpenAIChat, session: Session = Depends(get_session)):