Update session ID and timestamps in current_blocked.md; modify GPU type matching logic and add tests in catalog.rs; change API key and model settings in vtcode.toml

Author: vinhnx

.vtcode/tasks/current_blocked.md

@@ -1,14 +1,14 @@
 ---
-session_id: session-1774161591350
+session_id: session-1774180058612
 outcome: blocked
-created_at: 2026-03-22T06:44:24.249197+00:00
+created_at: 2026-03-22T11:48:15.879783+00:00
 workspace: /Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode
-resume_command: "vtcode --resume session-1774161591350"
+resume_command: "vtcode --resume session-1774180058612"
 ---
 
 # Blocker Summary
 
-Recovery mode requested a final synthesis pass, but the model returned no answer.
+Recovery mode could not complete the final synthesis pass.
 
 # Current Tracker Snapshot
 
@@ -29,10 +29,10 @@ Recovery mode requested a final synthesis pass, but the model returned no answer
 - `/Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode`
 - `/Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode/.vtcode/tasks/current_task.md`
 - `/Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode/.vtcode/tasks/current_blocked.md`
-- `/Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode/.vtcode/tasks/blockers/session-1774161591350-20260322T064424Z.md`
+- `/Users/vinhnguyenxuan/Developer/learn-by-doing/vtcode/.vtcode/tasks/blockers/session-1774180058612-20260322T114815Z.md`
 
 # Resume Metadata
 
-- Session ID: `session-1774161591350`
+- Session ID: `session-1774180058612`
 - Outcome: `blocked`
-- Resume command: `vtcode --resume session-1774161591350`
+- Resume command: `vtcode --resume session-1774180058612`

vtcode-core/src/pods/catalog.rs

@@ -95,11 +95,21 @@ impl PodProfile {
             return true;
         }
 
-        pod.gpus.iter().any(|gpu| {
-            self.gpu_types
-                .iter()
-                .any(|gpu_type| gpu.name.to_lowercase().contains(&gpu_type.to_lowercase()))
-        })
+        let gpu_types = self
+            .gpu_types
+            .iter()
+            .map(|gpu_type| gpu_type.to_lowercase())
+            .collect::<Vec<_>>();
+
+        pod.gpus
+            .iter()
+            .filter(|gpu| {
+                let gpu_name = gpu.name.to_lowercase();
+                gpu_types.iter().any(|gpu_type| gpu_name.contains(gpu_type))
+            })
+            .take(self.gpu_count)
+            .count()
+            >= self.gpu_count
     }
 
     pub fn matches_gpu_count(&self, count: usize) -> bool {
@@ -140,4 +150,35 @@ mod tests {
 
         assert!(profile.matches_pod(&pod));
     }
+
+    #[test]
+    fn profile_requires_enough_matching_gpu_types() {
+        let profile = PodProfile {
+            name: "dual-a100".to_string(),
+            model: "model".to_string(),
+            gpu_count: 2,
+            gpu_types: vec!["A100".to_string()],
+            command_template: default_command_template(),
+            vllm_args: vec![],
+            env: BTreeMap::new(),
+        };
+        let pod = PodState {
+            name: "pod".to_string(),
+            ssh: "ssh root@example.com".to_string(),
+            models_path: None,
+            gpus: vec![
+                PodGpu {
+                    id: 0,
+                    name: "NVIDIA A100-SXM4-80GB".to_string(),
+                },
+                PodGpu {
+                    id: 1,
+                    name: "NVIDIA RTX 4090".to_string(),
+                },
+            ],
+            models: BTreeMap::new(),
+        };
+
+        assert!(!profile.matches_pod(&pod));
+    }
 }

vtcode.toml

@@ -65,7 +65,7 @@ read_file = true
 # Environment variable that stores the API key for the active provider
 # Default: "OPENAI_API_KEY"
 # Type: `string`
-api_key_env = "OLLAMA_API_KEY"
+api_key_env = "MINIMAX_API_KEY"
 
 # Enable autonomous mode - auto-approve safe tools with reduced HITL prompts When true, the agent
 # operates with fewer confirmation prompts for safe tools.
@@ -92,7 +92,7 @@ default_editing_mode = "edit"
 # Default model to use
 # Default: "gpt-5.3-codex"
 # Type: `string`
-default_model = "gpt-oss:120b-cloud"
+default_model = "MiniMax-M2.7"
 
 # Enable an extra self-review pass to refine final responses
 # Default: false
@@ -156,7 +156,7 @@ project_doc_max_bytes = 16384
 # Possible values: anthropic, gemini, openai, openrouter, zai
 # Default: "openai"
 # Type: `string`
-provider = "ollama"
+provider = "minimax"
 
 # Reasoning effort level for models that support it (none, minimal, low, medium, high, xhigh) Applies
 # to: Claude, GPT-5 family, Gemini, Qwen3, DeepSeek with reasoning capability