Refactor devcontainer and MCP tools for containerized development

Ajout et configuration d’un environnement de développement conteneurisé (devcontainer) avec support multi-langages (Go, Rust, Python), intégration d’outils LLM locaux/cloud (LM Studio, Claude Pro), et refonte des outils MCP : suppression du module sandbox, correction de la gestion des chemins projet dans jj.py, ajout d’une fonction jj_new_tool, et structuration du Makefile pour le build multiplateforme. Mise à jour des scripts (docker-entrypoint.sh, setup-devcontainer.sh), du README.md et de bin/jj-ai-commit.sh pour automatiser la génération de messages de commit à partir des résumés des fichiers modifiés.

src/json_extract/__init__.py

@@ -1,8 +1,8 @@
 import json
 import os
-import urllib.request
 import urllib.error
-from typing import Dict, List, Optional
+import urllib.request
+from typing import Dict
 
 
 def structure_to_json(text: str, schema: Dict) -> Dict:
@@ -17,11 +17,13 @@ def structure_to_json(text: str, schema: Dict) -> Dict:
         dict: The parsed JSON object
     """
     # Get the API URL from environment variable
-    local_llm_api = os.environ.get("LOCAL_LLM_API", "http://host.docker.internal:1248/v1")
-    
+    local_llm_api = os.environ.get(
+        "LOCAL_LLM_API", "http://host.docker.internal:1248/v1"
+    )
+
     # Format the schema as JSON string
     schema_json = json.dumps(schema, indent=2)
-    
+
     # Create the prompt following the pattern from jj-ai-commit.sh
     prompt_text = f"""Analyse this text and respond ONLY with a valid JSON object matching the schema.
 
@@ -30,27 +32,22 @@ Text:
 
 Schema:
 {schema_json}"""
-    
+
     # Build the request body
     request_body = {
         "model": "qwen3-coder",
-        "messages": [
-            {"role": "user", "content": prompt_text}
-        ]
+        "messages": [{"role": "user", "content": prompt_text}],
     }
-    
+
     # Build the URL
     url = f"{local_llm_api}/chat/completions"
-    
+
     # Create the request
     data = json.dumps(request_body).encode("utf-8")
     req = urllib.request.Request(
-        url,
-        data=data,
-        headers={"Content-Type": "application/json"},
-        method="POST"
+        url, data=data, headers={"Content-Type": "application/json"}, method="POST"
     )
-    
+
     try:
         # Execute the request
         with urllib.request.urlopen(req) as response:
@@ -59,18 +56,21 @@ Schema:
         return {"error": f"API request failed: {e}", "raw_response": ""}
     except json.JSONDecodeError as e:
         return {"error": f"Failed to parse response: {e}", "raw_response": ""}
-    
+
     try:
         content = result.get("choices", [{}])[0].get("message", {}).get("content", "")
-        
+
         # Clean markdown backticks from response
         clean_content = content.strip()
         while clean_content.startswith("`") or clean_content.startswith("```"):
             clean_content = clean_content[1:].strip()
         while clean_content.endswith("`") or clean_content.endswith("```"):
             clean_content = clean_content[:-1].strip()
-        
+
         # Parse the JSON content
         return json.loads(clean_content)
     except (json.JSONDecodeError, KeyError, IndexError) as e:
-        return {"error": f"Failed to parse JSON: {e}", "raw_response": json.dumps(result)}
+        return {
+            "error": f"Failed to parse JSON: {e}",
+            "raw_response": json.dumps(result),
+        }