refactoring. now the solution is chat

README.md

@@ -516,6 +516,10 @@ with 2 OCPUs and 16 GB memory
 
 Agent response (Schema A or B depending on resolution).
 
+![img.png](img.png)
+![img_1.png](img_1.png)
+
+
 ---
 
 ## 🐞 Troubleshooting

files/server_mcp.py

@@ -204,7 +204,7 @@ async def _list_shapes_from_oci(compartment_ocid: Optional[str] = None, ad: Opti
 
 @mcp.tool()
 async def resolve_shape(hint: str, compartment_ocid: Optional[str] = None, ad: Optional[str] = None) -> Dict[str, Any]:
-    """Resolves shape by hint like 'e4' → best match type 'VM.Standard.E4.Flex'."""
+    """Resolve shape por dica como 'e4' → melhor match tipo 'VM.Standard.E4.Flex'."""
     lst = await _list_shapes_from_oci(compartment_ocid=compartment_ocid, ad=ad)
     if lst.get("status") != "ok":
         return lst
@@ -214,6 +214,7 @@ async def resolve_shape(hint: str, compartment_ocid: Optional[str] = None, ad: O
     for s in items:
         name = s.get("shape") or ""
         s1 = similarity(q, name)
+        # bônus para begins-with no sufixo da família
         fam = _normalize(name.replace("VM.Standard.", ""))
         s1 += 0.2 if fam.startswith(q) or q in fam else 0
         scored.append((s1, name))
@@ -233,6 +234,7 @@ async def list_shapes(compartment_ocid: Optional[str] = None, ad: Optional[str]
         return lst
 
     items = lst["data"]
+    # simplificar a saída
     shapes = [{"shape": s.get("shape"), "ocpus": s.get("ocpus"), "memory": s.get("memoryInGBs")} for s in items]
     return {"status": "ok", "data": shapes}
 
@@ -263,26 +265,29 @@ async def resolve_image(query: str,
                         compartment_ocid: Optional[str] = None,
                         shape: Optional[str] = None) -> Dict[str, Any]:
     """Find the image by a short name or similarity"""
+    # heurística simples para OS/versão
     q = query.strip()
     os_name, os_ver = None, None
+    # exemplos: "Oracle Linux 9", "OracleLinux 9", "OL9"
     if "linux" in q.lower():
         os_name = "Oracle Linux"
         m = re.search(r"(?:^|\\D)(\\d{1,2})(?:\\D|$)", q)
         if m:
             os_ver = m.group(1)
 
+    # primeiro: filtro por OS/versão
     lst = await list_images(compartment_ocid=compartment_ocid, operating_system=os_name, operating_system_version=os_ver)
     if lst.get("status") != "ok":
         return lst
     items = lst["data"]
     if not items:
-        # fallback: no filter, list all and make fuzzy on display-name
+        # fallback: sem filtro, listar tudo e fazer fuzzy no display-name
         lst = await list_images(compartment_ocid=compartment_ocid)
         if lst.get("status") != "ok":
             return lst
         items = lst["data"]
 
-    # rank by similarity of display-name and creation date
+    # rankear por similitude do display-name e data de criação
     ranked = []
     for img in items:
         dn = img.get("display-name","")
@@ -309,15 +314,30 @@ def _norm(s: str) -> str:
 @mcp.tool()
 async def find_compartment(query_text: str) -> dict:
     """
-    Find compartment ocid by the name, the compartment ocid is the identifier field
+    Find compartment OCID by the name.
+    The correct OCID is always in the 'identifier' field.
     """
     structured = f"query compartment resources where displayName =~ '.*{query_text}*.'"
-    code, out, err = oci_cli.run(["search","resource","structured-search","--query-text", structured])
+    code, out, err = oci_cli.run([
+        "search", "resource", "structured-search",
+        "--query-text", structured
+    ])
     if code != 0:
-        return {"status":"error","stderr": err, "stdout": out}
+        return {"status": "error", "stderr": err, "stdout": out}
+
     data = json.loads(out)
-    items = data.get("data",{}).get("items",[])
-    return {"status":"ok","data": items}
+    items = data.get("data", {}).get("items", [])
+
+    results = []
+    for item in items:
+        results.append({
+            "name": item.get("displayName"),
+            "ocid": item.get("identifier"),   # 🔑 este é o OCID correto
+            "lifecycle_state": item.get("lifecycleState"),
+            "time_created": item.get("timeCreated")
+        })
+
+    return {"status": "ok", "data": results}
 
 @mcp.tool()
 async def create_compute_instance(
@@ -346,7 +366,7 @@ async def create_compute_instance(
     shape-config: {"ocpus": 2, "memoryInGBs": 16}
     """
 
-    # mount shape-config automatically
+    # montar shape-config automaticamente
     shape_config = None
     if ocpus is not None and memory is not None:
         shape_config = json.dumps({"ocpus": ocpus, "memoryInGBs": memory})

files/webchat.py

@@ -166,7 +166,7 @@ There are TWO categories of parameters:
 - ocpus
 - memoryInGBs
 Rules:
-- Extract display_name from phrases like "vm chamada X", "nome X", "VM X".
+- Extract display_name from phrases like "vm called X", "nome X", "VM X".
 - Extract ocpus from numbers followed by "ocpus", "OCPUs", "cores", "vCPUs".
 - Extract memoryInGBs from numbers followed by "GB", "gigabytes", "giga".
 - These values must NEVER be null if present in the user request.
@@ -213,6 +213,28 @@ Rules:
   - If no matches are found → add a concise "ask".
 
 ====================
+## TOOL USAGE AND CANDIDATES
+
+- For every resolvable parameter (compartment_id, subnet_id, availability_domain, image_id, shape):
+  - Always attempt to resolve using the proper MCP tool:
+    * find_compartment → for compartment_id
+    * find_subnet → for subnet_id
+    * find_ad / list_availability_domains → for availability_domain
+    * resolve_image / list_images → for image_id
+    * resolve_shape / list_shapes → for shape
+  - If the tool returns exactly one match → put the OCID directly in "parameters".
+  - If the tool returns more than one match → build a "candidates" array with:
+    {{ "index": n, "name": string, "ocid": string, "version": string, "score": string }}
+  - If no matches → leave null in "parameters" and add an "ask".
+
+- Candidates MUST always include the **real OCIDs** from tool output.  
+- Never return plain names like "Oracle Linux 9" or "VM.Standard.E4.Flex" as candidates without the corresponding OCID.
+- Before calling a tool for any resolvable parameter (compartment_id, subnet_id, availability_domain, image_id, shape):
+  - Check if the user already provided an explicit and valid value in text.
+  - If yes → assign directly, skip candidates, skip further resolution.
+  - If ambiguous (e.g., "Linux image" without version) → call tool, possibly return candidates.
+  - If missing entirely → call tool and return ask if nothing is found.
+====================
 ## CANDIDATES RULES
 - Candidates can be returned for ANY resolvable parameter:
   - compartment_id
@@ -234,6 +256,12 @@ Rules:
 - Do not include null values in candidates.
 - Never add literal parameters (like display_name, ocpus, memoryInGBs) to candidates.
 - Keys in candidates must always be snake_case.
+- Ordering rules:
+  * For image_id → sort by version/date (newest first).
+  * For shape → sort by score (highest first).
+  * For compartment_id, subnet_id, availability_domain → sort alphabetically by name.
+- After sorting, reindex candidates starting at 1.
+- Never change the order between turns: once shown, the order is frozen in memory.
 ====================
 ## CANDIDATES STRICT RULES
 
@@ -263,28 +291,7 @@ Rules:
 - Once ALL required fields are resolved (parameters complete, no candidates left, no asks left) → return Schema B as the final payload.
 - Never present the same candidates more than once.
 - Never mix Schema A and Schema B in a single response.
-====================
-## TOOL USAGE AND CANDIDATES
 
-- For every resolvable parameter (compartment_id, subnet_id, availability_domain, image_id, shape):
-  - Always attempt to resolve using the proper MCP tool:
-    * find_compartment → for compartment_id
-    * find_subnet → for subnet_id
-    * find_ad / list_availability_domains → for availability_domain
-    * resolve_image / list_images → for image_id
-    * resolve_shape / list_shapes → for shape
-  - If the tool returns exactly one match → put the OCID directly in "parameters".
-  - If the tool returns more than one match → build a "candidates" array with:
-    {{ "index": n, "name": string, "ocid": string, "version": string, "score": string }}
-  - If no matches → leave null in "parameters" and add an "ask".
-
-- Candidates MUST always include the **real OCIDs** from tool output.  
-- Never return plain names like "Oracle Linux 9" or "VM.Standard.E4.Flex" as candidates without the corresponding OCID.
-- Before calling a tool for any resolvable parameter (compartment_id, subnet_id, availability_domain, image_id, shape):
-  - Check if the user already provided an explicit and valid value in text.
-  - If yes → assign directly, skip candidates, skip further resolution.
-  - If ambiguous (e.g., "Linux image" without version) → call tool, possibly return candidates.
-  - If missing entirely → call tool and return ask if nothing is found.
 ====================
 
 ⚠️ IMPORTANT CONTEXT MANAGEMENT RULES
@@ -320,7 +327,14 @@ Rules:
 - Never output markdown, comments, or explanations.
 - Never put literal parameters in "candidates".
 - Never leave literal parameters null if present in text.
-- Always use snake_case for Schema A and camelCase for Schema B.
+
+⚠️ IMPORTANT:
+- Use **exclusively** snake_case for Schema A (parameters, candidates, ask).
+- Use **exclusively** camelCase for Schema B (final payload for create).
+- Never mix both styles in the same JSON.  
+- If you are in Schema A, do NOT include camelCase keys like `compartmentId` or `shapeConfig`.  
+- If you are in Schema B, do NOT include snake_case keys like `compartment_id` or `display_name`.  
+
 """
 
 prompt = ChatPromptTemplate.from_messages([