fixed ai integration

project/context.json

@@ -1,6 +1,10 @@
 {
-  "date": "2025-07-17",
+  "date": "2025-07-27",
   "project_name": "New Project",
   "project_author": "Your Name",
-  "project_description": "Description of your project"
+  "project_description": "Description of your project",
+  "enable_ai": true,
+  "llm_api_uri": "http://localhost:1234",
+  "llm_api_key": "",
+  "ai_context_prompt": ""
 }

project/documents/83592caa-f97d-427e-9d6a-50a586c30e6e.json

@@ -3,6 +3,6 @@
   "id": "83592caa-f97d-427e-9d6a-50a586c30e6e",
   "description": "ee",
   "tags": [],
-  "content": "# Test project\n\n- this project is a test to ensure that this tool can be integrated with AI models correctly\n- I’m testing various prompts and parameters to evaluate its capabilities. The initial focus is on simple tasks like list generation, text summarization, and question answering. More complex scenarios involving code generation and creative writing will follow in subsequent phases. A key aspect of this test project involves documenting all interactions – both the prompts used and the AI’s responses – for later analysis. This allows us to identify patterns, biases, and areas where the tool can be improved. ",
+  "content": "# Test project\n\n- this project is a test to ensure that this tool can be integrated with AI models correctly\n- I’m testing various prompts and parameters to evaluate its capabilities. The initial focus is on simple tasks like list generation, text summarization, and question answering. More complex scenarios involving code generation and creative writing will follow in subsequent phases. A key aspect of this test project involves documenting all interactions – both the prompts used and the AI’s responses – for later analysis. This allows us to identify patterns, biases, and areas where the tool can be improved. \n\n- \nAs a large language model, I'm essentially the engine powering these tests. My role here is to receive the prompts generated by the tool and produce responses based on my training data and the instructions provided within those prompts. The beauty of this setup lies in my flexibility; I can adapt to different tasks – from condensing lengthy articles into concise summaries to generating lists based on specific criteria, or even answering questions drawn from a given text. My ability to understand nuances in language allows for more sophisticated interactions as the project progresses beyond these initial simple tasks. The detailed documentation you're creating is particularly valuable because it provides feedback that can potentially be used to refine my responses and improve overall performance – essentially closing a loop between testing, analysis, and future model iterations.",
   "parent": null
 }