Enhance LLM functionality with PRO mode support and improved prompt handling

- Added support for PRO mode in LLM with specific instruction handling and context awareness.
- Updated prompt building functions to include prefill options for better context management.
- Introduced new inline examples for PRO mode in JSON format.
- Enhanced system prompts to reflect PRO mode capabilities and rules.
- Modified API endpoints to accommodate new parameters and ensure backward compatibility.
- Improved test cases to validate new functionality and ensure comprehensive coverage.

backend/tests/test_pro_completions.py

@@ -56,19 +56,22 @@ def test_pro_status_missing_returns_404():
     assert response.status_code == 404
 
 
-def test_pro_prompt_uses_simple_chat_instruction():
+def test_pro_prompt_uses_pro_specific_instruction():
     system_prompt, user_prompt = pro_completions._build_pro_prompts(
         prefix="欢迎使用 LLM-IN-TEXT\n\n即时可用的 LLM 系统",
         suffix="",
         language_id="markdown",
         instruction="",
+        pro_thinking="high",
     )
     combined = f"{system_prompt}\n{user_prompt}".lower()
-    assert "pro block" not in combined
-    assert "replacement" not in combined
-    assert "final answer" not in combined
-    assert "markdown before cursor" in combined
-    assert "markdown after cursor" in combined
+    assert "[pro] model for llm-in-text" in combined
+    assert "pro_mode: true" in combined
+    assert "pro_thinking_level: high" in combined
+    assert "long paragraphs or section-level output are allowed" in combined
+    assert "highest priority" in combined
+    assert "never copy tags to output" in combined
+    assert "write only the markdown that belongs at the cursor" not in combined
     assert "continue the markdown naturally" in combined