fix encoding error for windows example

Author: ryanhoangt

.github/workflows/run-examples.yml

@@ -20,7 +20,9 @@ permissions:
 
 jobs:
     test-examples:
-        if: github.event.label.name == 'test-examples' || github.event_name == 'workflow_dispatch' || github.event_name == 'schedule'
+        needs: test-examples-windows
+        if: ${{ always() && (github.event.label.name == 'test-examples' || contains(fromJson('["workflow_dispatch","schedule"]'), github.event_name)) 
+            }}
         runs-on: blacksmith-2vcpu-ubuntu-2404
         timeout-minutes: 60
         steps:
@@ -51,6 +53,13 @@ jobs:
               with:
                   node-version: '22'
 
+            - name: Download Windows example results
+              if: needs.test-examples-windows.result == 'success'
+              uses: actions/download-artifact@v4
+              with:
+                  name: examples-results-windows
+                  path: .windows-example-results
+
             - name: Install dependencies
               run: uv sync --frozen --group dev
 
@@ -135,6 +144,10 @@ jobs:
                       -k "not 31_windows.py" \
                       || EXIT_CODE=$?
 
+                  if [ -d ".windows-example-results" ]; then
+                      cp .windows-example-results/*.json "$RESULTS_DIR"/ || true
+                  fi
+
                   TIMESTAMP="$(date -u '+%Y-%m-%d %H:%M:%S UTC')"
                   WORKFLOW_URL="${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/actions/runs/${GITHUB_RUN_ID}"
 

examples/01_standalone_sdk/31_windows.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import os
+import sys
 
 from pydantic import SecretStr
 
@@ -44,6 +45,12 @@
 llm_messages = []
 
 
+def _safe_preview(text: str, limit: int = 200) -> str:
+    truncated = text[:limit]
+    encoding = getattr(sys.stdout, "encoding", None) or "utf-8"
+    return truncated.encode(encoding, errors="replace").decode(encoding)
+
+
 def conversation_callback(event: Event) -> None:
     if isinstance(event, LLMConvertibleEvent):
         llm_messages.append(event.to_llm_message())
@@ -68,8 +75,8 @@ def conversation_callback(event: Event) -> None:
 print("=" * 100)
 print("Conversation finished. Got the following LLM messages:")
 for i, message in enumerate(llm_messages):
-    preview = str(message)
-    print(f"Message {i}: {preview[:200]}")
+    preview = _safe_preview(str(message))
+    print(f"Message {i}: {preview}")
 
 cost = llm.metrics.accumulated_cost
 print(f"EXAMPLE_COST: {cost}")