Fix import sorting lint and revert langgraph model change

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: danielmillerp

.github/workflows/agentex-tutorials-test.yml

@@ -145,24 +145,30 @@ jobs:
         working-directory: ./examples/tutorials
         run: |
           echo "🚨 Test failed for tutorial: ${{ matrix.tutorial }}"
-          echo "📋 Printing agent logs..."
 
-          # Look for agent log files in the tutorial directory
-          if find "${{ matrix.tutorial }}" -name "*.log" -type f 2>/dev/null | grep -q .; then
-            echo "Found agent log files:"
-            find "${{ matrix.tutorial }}" -name "*.log" -type f -exec echo "=== {} ===" \; -exec cat {} \;
+          # Print agent logs from /tmp (where run_agent_test.sh writes them)
+          tutorial_name=$(basename "${{ matrix.tutorial }}")
+          agent_log="/tmp/agentex-${tutorial_name}.log"
+          if [[ -f "$agent_log" ]]; then
+            echo "📋 Agent logs ($agent_log):"
+            echo "----------------------------------------"
+            tail -100 "$agent_log"
+            echo "----------------------------------------"
           else
-            echo "No .log files found, checking for other common log locations..."
+            echo "⚠️ No agent log at $agent_log"
+            echo "Available /tmp/agentex-*.log files:"
+            ls -la /tmp/agentex-*.log 2>/dev/null || echo "  (none)"
           fi
 
-          # Check for any output files or dumps
-          if find "${{ matrix.tutorial }}" -name "agent_output*" -o -name "debug*" -o -name "*.out" 2>/dev/null | grep -q .; then
-            echo "Found other output files:"
-            find "${{ matrix.tutorial }}" -name "agent_output*" -o -name "debug*" -o -name "*.out" -exec echo "=== {} ===" \; -exec cat {} \;
-          fi
+          # Print Docker server logs
+          echo ""
+          echo "📋 AgentEx Server (Docker) logs:"
+          echo "----------------------------------------"
+          cd ../../scale-agentex/agentex && docker compose logs --tail=100 agentex 2>/dev/null || echo "Could not retrieve Docker logs"
+          echo "----------------------------------------"
 
-          # Print the last 50 lines of any python processes that might still be running
-          echo "🔍 Checking for running python processes..."
+          echo ""
+          echo "🔍 Running python processes:"
           ps aux | grep python || echo "No python processes found"
 
       - name: Record test result

examples/tutorials/00_sync/010_multiturn/tests/test_agent.py

@@ -9,7 +9,7 @@
 To run these tests:
 1. Make sure the agent is running (via docker-compose or `agentex agents run`)
 2. Set the AGENTEX_API_BASE_URL environment variable if not using default
-3. Run: pytest tests/test_agent.py -v
+3. Run: pytest test_agent.py -v
 
 Configuration:
 - AGENTEX_API_BASE_URL: Base URL for the AgentEx server (default: http://localhost:5003)

examples/tutorials/00_sync/020_streaming/project/acp.py

@@ -5,12 +5,12 @@
 
 from agentex.lib import adk
 from agentex.lib.types.acp import SendMessageParams
+from agentex.types.text_content import TextContent
 from agentex.lib.types.converters import convert_task_messages_to_oai_agents_inputs
 from agentex.lib.utils.model_utils import BaseModel
 from agentex.lib.sdk.fastacp.fastacp import FastACP
 from agentex.types.task_message_update import TaskMessageUpdate, StreamTaskMessageFull
 from agentex.types.task_message_content import TaskMessageContent
-from agentex.types.text_content import TextContent
 from agentex.lib.adk.providers._modules.sync_provider import (
     SyncStreamingProvider,
     convert_openai_to_agentex_events,

examples/tutorials/00_sync/030_langgraph/project/graph.py

@@ -20,7 +20,7 @@
 from project.tools import TOOLS
 from agentex.lib.adk import create_checkpointer
 
-MODEL_NAME = "gpt-4o-mini"
+MODEL_NAME = "gpt-5"
 SYSTEM_PROMPT = """You are a helpful AI assistant with access to tools.
 
 Current date and time: {timestamp}
@@ -46,6 +46,7 @@ async def create_graph():
     """
     llm = ChatOpenAI(
         model=MODEL_NAME,
+        reasoning={"effort": "high", "summary": "auto"},
     )
     llm_with_tools = llm.bind_tools(TOOLS)