feat(infographic): release v1.5.0 with smart language detection & organize debug tools

plugins/debug/github-copilot-sdk/test_injection.py

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+import asyncio
+import os
+import sys
+import json
+from copilot import CopilotClient
+from copilot.types import SessionConfig
+
+# Define the formatting instruction exactly as in the plugin
+FORMATTING_INSTRUCTION = (
+    "\n\n[Formatting Guidelines]\n"
+    "When providing explanations or descriptions:\n"
+    "- Use clear paragraph breaks (double line breaks)\n"
+    "- Break long sentences into multiple shorter ones\n"
+    "- Use bullet points or numbered lists for multiple items\n"
+    "- Add headings (##, ###) for major sections\n"
+    "- Ensure proper spacing between different topics"
+)
+
+
+async def main():
+    print(f"Python executable: {sys.executable}")
+
+    # Check for GH_TOKEN
+    token = os.environ.get("GH_TOKEN")
+    if token:
+        print("GH_TOKEN is set.")
+    else:
+        print(
+            "Warning: GH_TOKEN not found in environment variables. Relying on CLI auth."
+        )
+
+    client_config = {"log_level": "debug"}
+
+    client = CopilotClient(client_config)
+
+    try:
+        print("Starting client...")
+        await client.start()
+
+        # Test 1: Check available models
+        try:
+            models = await client.list_models()
+            print(f"Connection successful. Found {len(models)} models.")
+            model_id = "gpt-5-mini"  # User requested model
+        except Exception as e:
+            print(f"Failed to list models: {e}")
+            return
+
+        print(f"\nCreating session with model {model_id} and system injection...")
+
+        system_message_config = {
+            "mode": "append",
+            "content": "You are a helpful assistant." + FORMATTING_INSTRUCTION,
+        }
+
+        session_config = SessionConfig(
+            model=model_id, system_message=system_message_config
+        )
+
+        session = await client.create_session(config=session_config)
+        print(f"Session created: {session.session_id}")
+
+        # Test 2: Ask the model to summarize its instructions
+        prompt = "Please summarize the [Formatting Guidelines] you have been given in a list."
+
+        print(f"\nSending prompt: '{prompt}'")
+        response = await session.send_and_wait({"prompt": prompt, "mode": "immediate"})
+
+        print("\n--- Model Response ---")
+        content = response.data.content if response and response.data else "No content"
+        print(content)
+        print("----------------------")
+
+        required_keywords = ["paragraph", "break", "heading", "spacing", "bullet"]
+        found_keywords = [kw for kw in required_keywords if kw in content.lower()]
+
+        if len(found_keywords) >= 3:
+            print(
+                f"\n✅ SUCCESS: Model summarized the guidelines correctly. Found match for: {found_keywords}"
+            )
+        else:
+            print(
+                f"\n⚠️ UNCERTAIN: Summary might be generic. Found keywords: {found_keywords}"
+            )
+
+    except Exception as e:
+        print(f"\nError: {e}")
+    finally:
+        await client.stop()
+        print("\nClient stopped.")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())