Update AIA to 1.6.0

charts/ai-assistant/CHANGELOG.md

@@ -1,22 +1,31 @@
 # Changelog
+
 - [Changelog](#changelog)
+  - [0.4.0 (2025-10-28)](#040-2025-10-28)
+    - [Changed](#changed)
   - [0.3.0 (2025-10-04)](#030-2025-10-04)
     - [Added](#added)
-    - [Changed](#changed)
+    - [Changed](#changed-1)
   - [0.2.0 (2025-07-04)](#020-2025-07-04)
     - [Added](#added-1)
-    - [Changed](#changed-1)
-  - [0.1.0 (2025-06-17)](#010-2025-06-17)
     - [Changed](#changed-2)
-  - [0.0.13 (2025-06-10)](#0013-2025-06-10)
+  - [0.1.0 (2025-06-17)](#010-2025-06-17)
     - [Changed](#changed-3)
-  - [0.0.12 (2025-06-10)](#0012-2025-06-10)
+  - [0.0.13 (2025-06-10)](#0013-2025-06-10)
     - [Changed](#changed-4)
-  - [0.0.10 (2025-06-9)](#0010-2025-06-9)
+  - [0.0.12 (2025-06-10)](#0012-2025-06-10)
     - [Changed](#changed-5)
+  - [0.0.10 (2025-06-9)](#0010-2025-06-9)
+    - [Changed](#changed-6)
   - [0.0.1 (2025-05-28)](#001-2025-05-28)
     - [Added](#added-2)
 
+## 0.4.0 (2025-11-7)
+
+### Changed
+
+* [AI Assistant 1.6.0](https://www.nutrient.io/guides/ai-assistant/changelog/#1.6.0)
+
 ## 0.3.0 (2025-10-04)
 
 ### Added

charts/ai-assistant/Chart.yaml

@@ -4,8 +4,8 @@ type: application
 description: AI Assistant is a thing that assists an AI
 home: https://www.nutrient.io/guides/ai-assistant/
 icon: https://cdn.prod.website-files.com/65fdb7696055f07a05048833/66e58e33c3880ff24aa34027_nutrient-logo.png
-version: 0.3.0
-appVersion: "1.5.0"
+version: 0.4.0
+appVersion: "1.6.0"
 
 keywords:
   - nutrient
@@ -18,6 +18,6 @@ maintainers:
 
 dependencies:
   - name: document-engine
-    version: ~6
+    version: ~7
     repository: https://pspdfkit.github.io/helm-charts
     condition: document-engine.enabled

charts/ai-assistant/README.md

@@ -1,6 +1,6 @@
 # AI Assistant Helm chart
 
-![Version: 0.3.0](https://img.shields.io/badge/Version-0.3.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.5.0](https://img.shields.io/badge/AppVersion-1.5.0-informational?style=flat-square)
+![Version: 0.4.0](https://img.shields.io/badge/Version-0.4.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.6.0](https://img.shields.io/badge/AppVersion-1.6.0-informational?style=flat-square)
 
 AI Assistant is a thing that assists an AI
 

charts/ai-assistant/values.schema.json

@@ -370,7 +370,7 @@
                         },
                         "name": {
                           "type": "string",
-                          "pattern": "^(openai|azure|bedrock|openai-compat)$"
+                          "pattern": "^(openai|azure|bedrock|openai-compat|mock)$"
                         }
                       }
                     }
@@ -393,7 +393,7 @@
                         },
                         "name": {
                           "type": "string",
-                          "pattern": "^(openai|azure|bedrock|openai-compat)$"
+                          "pattern": "^(openai|azure|bedrock|openai-compat|mock)$"
                         }
                       }
                     }

charts/ai-assistant/values.simple.yaml

@@ -10,70 +10,24 @@ apiAuth:
     publicKey: none
     algorithm: RS256
 
-# This is only necessary until `openai-mock` supports text embeddings
-sidecars:
-  - name: openai-mocker
-    image: python:3.11-alpine
-    imagePullPolicy: IfNotPresent
-    command:
-      - /bin/sh
-      - -ce
-      - |-
-        cat > /tmp/embeddings-mock.py << 'EOF'
-        import uvicorn
-        from fastapi import FastAPI
-        from pydantic import BaseModel
-        from typing import List, Union
-        import random
-
-        app = FastAPI()
-
-        class EmbeddingRequest(BaseModel):
-            input: Union[str, List[str]]
-            model: str = "text-embedding-3-small"
-
-        @app.post("/v1/embeddings")
-        async def create_embeddings(request: EmbeddingRequest):
-            inputs = request.input if isinstance(request.input, list) else [request.input]
-            embeddings = []
-            for i, text in enumerate(inputs):
-                embedding = [random.uniform(-1, 1) for _ in range(1536)]
-                embeddings.append({
-                    "object": "embedding",
-                    "index": i,
-                    "embedding": embedding
-                })
-            return {
-                "object": "list",
-                "data": embeddings,
-                "model": request.model,
-                "usage": {
-                    "prompt_tokens": sum(len(text.split()) for text in inputs),
-                    "total_tokens": sum(len(text.split()) for text in inputs)
-                }
-            }
-
-        if __name__ == "__main__":
-            uvicorn.run(app, host="0.0.0.0", port=8080)
-        EOF
-
-        pip install fastapi uvicorn && python /tmp/embeddings-mock.py
 
 config:
   serviceConfiguration:
     version: '1'
     aiServices:
       chat:
         provider:
-          name: 'openai-compat'
-          baseUrl: 'https://api.openai-mock.com'
-        model: 'gpt-4'
+          name: "mock"
+          fakeResponses:
+            - "Hello! This is a mock response for testing."
+            - "Mock provider is working correctly."
+            - "Test response from AIA mock provider."
+        model: "mock-chat-model"
       textEmbeddings:
         provider:
-          name: 'openai-compat'
-          # `openai-mock` does not yet support text embeddings
-          baseUrl: 'http://localhost:8080/v1'
-        model: 'text-embedding-3-small'
+          name: "mock"
+          fakeResponses: []
+        model: "mock-embedding-model"
   documentEngine:
     enabled: true
     url: http://document-engine:5000