implemented /clear and Ctrl+D and thinking

README.md

@@ -152,12 +152,14 @@ user's request and delegate tasks accordingly.
 ./bin/sidekick-tui
 ```
 *   **Input:** Type your messages at the bottom prompt.
+*   **Commands:** Type **`/clear`** and press `Enter` to reset the conversation history.
 *   **Markdown:** Agent responses are rendered as formatted Markdown.
 *   **Send:** Press `Enter` to send a message.
+*   **Cancel:** Press **`Ctrl+D`** while the agent is thinking to cancel the current request.
 *   **Newline:** Press `Ctrl+J` to insert a newline in your message.
 *   **Scrolling:** 
     *   Use **`Ctrl+U`** or **`PgUp`** to scroll up.
-    *   Use **`Ctrl+D`** or **`PgDn`** to scroll down.
+    *   Use **`PgDn`** to scroll down.
     *   Mouse wheel is also supported.
 *   **Quit:** Press `Ctrl+C` or `Esc` to exit.
 

agent.go

@@ -112,6 +112,9 @@ func (s *Sidekick) logIntermediate(msg Message) {
   if !s.Config.LogIntermediate || s.IntermediateHandler == nil {
     return
   }
+  if msg.Reasoning != "" {
+    s.IntermediateHandler(fmt.Sprintf("Reasoning: %s", msg.Reasoning))
+  }
   if msg.Content != "" {
     s.IntermediateHandler(fmt.Sprintf("LLM Output: %s", msg.Content))
   } else if len(msg.ToolCalls) > 0 {

cmd/sidekick-tui/main.go

@@ -426,12 +426,12 @@ func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
 }
 
 func (m *model) runAgent() tea.Cmd {
-	var ctx context.Context
-	ctx, m.cancel = context.WithCancel(context.Background())
-	return func() tea.Msg {
-		res, err := m.agent.Run(ctx, m.history, m.pool)
-		return agentResponseMsg{response: res, err: err}
-	}
+  var ctx context.Context
+  ctx, m.cancel = context.WithCancel(context.Background())
+  return func() tea.Msg {
+    res, err := m.agent.Run(ctx, m.history, m.pool)
+    return agentResponseMsg{response: res, err: err}
+  }
 }
 
 func (m model) View() string {

config.toml

@@ -21,6 +21,16 @@ port = 8080
   max_tokens = 4096
   timeout_secs = 360
 
+  [models.ollama]
+  # model_id = "Jackrong/Qwen3.5-2B-Claude-4.6-Opus-Reasoning-Distilled-GGUF:Q4_K_M"
+  model_id = "LiquidAI/LFM2.5-1.2B-Thinking-GGUF:Q4_K_M"
+  endpoint = "http://127.0.0.1:8080/v1"
+  api_key = ""
+  temperature = 0.6
+  max_tokens = 4096
+  timeout_secs = 600
+
+
 [mcp_servers]
   [mcp_servers.context7]
   transport = "http"
@@ -33,7 +43,7 @@ port = 8080
 [agents]
   [agents.coordinator]
   role = "COORDINATOR"
-  model_id = "default"
+  model_id = "ollama"
   enable_shell_exec = true
   streaming = false
   log_intermediate = true
@@ -50,7 +60,7 @@ port = 8080
 
   [agents.coder]
   role = "SPECIALIST"
-  model_id = "default"
+  model_id = "ollama"
   enable_shell_exec = true
   streaming = false
   log_intermediate = true
@@ -66,7 +76,7 @@ port = 8080
 
   [agents.reviewer]
   role = "SPECIALIST"
-  model_id = "fast"
+  model_id = "ollama"
   streaming = false
   log_intermediate = true
   system_prompt = "You are a Quality Assurance Specialist and Code Reviewer. Your role is to analyze code for potential bugs, security vulnerabilities, and style violations."
@@ -81,7 +91,7 @@ port = 8080
 
   [agents.tester]
   role = "SPECIALIST"
-  model_id = "fast"
+  model_id = "ollama"
   enable_shell_exec = true
   streaming = false
   log_intermediate = true

llm.go

@@ -148,6 +148,7 @@ func (s *standardLLMClient) handleStream(body io.ReadCloser, streamCallback,
   reasoningCallback func(string)) (Message, error) {
   defer body.Close()
   var fullContent strings.Builder
+  var fullReasoning strings.Builder
   var finalMsg Message
   finalMsg.Role = MessageRoleAssistant
 
@@ -178,14 +179,26 @@ func (s *standardLLMClient) handleStream(body io.ReadCloser, streamCallback,
     var chunk struct {
       Choices []struct {
         Delta struct {
-          Content   string          `json:"content"`
-          ToolCalls []deltaToolCall `json:"tool_calls"`
+          Content          string          `json:"content"`
+          ReasoningContent string          `json:"reasoning_content"`
+          Reasoning        string          `json:"reasoning"`
+          ToolCalls        []deltaToolCall `json:"tool_calls"`
         } `json:"delta"`
       } `json:"choices"`
     }
     if err := json.Unmarshal([]byte(data), &chunk); err == nil && len(chunk.Choices) > 0 {
       delta := chunk.Choices[0].Delta
-      if delta.Content != "" {
+
+      rContent := delta.ReasoningContent
+      if rContent == "" {
+        rContent = delta.Reasoning
+      }
+      if rContent != "" && reasoningCallback != nil {
+        fullReasoning.WriteString(rContent)
+        reasoningCallback(rContent)
+      }
+
+      if delta.Content != "" && streamCallback != nil {
         fullContent.WriteString(delta.Content)
         streamCallback(delta.Content)
       }
@@ -206,6 +219,7 @@ func (s *standardLLMClient) handleStream(body io.ReadCloser, streamCallback,
   }
 
   finalMsg.Content = fullContent.String()
+  finalMsg.Reasoning = fullReasoning.String()
   if maxIndex >= 0 {
     for i := 0; i <= maxIndex; i++ {
       if tc, ok := toolCallsMap[i]; ok {