fix(tutorials): repair five tutorials that fail with a real model

examples/tutorials/10_async/00_base/040_other_sdks/Dockerfile

@@ -15,6 +15,8 @@ RUN apt-get update && apt-get install -y \
     gcc \
     cmake \
     netcat-openbsd \
+    nodejs \
+    npm \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 

examples/tutorials/10_async/00_base/040_other_sdks/project/acp.py

@@ -54,7 +54,12 @@ class StateModel(BaseModel):
         args=["-y", "@modelcontextprotocol/server-sequential-thinking"],
     ),
     StdioServerParameters(
-        command="uvx", args=["openai-websearch-mcp"], env={"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "")}
+        # openai-websearch-mcp pins mcp 1.13.1, which imports a private
+        # pydantic helper that pydantic 2.14 removed; uvx resolves pydantic
+        # unpinned, so cap it until the server allows a newer mcp.
+        command="uvx",
+        args=["--with", "pydantic<2.14", "openai-websearch-mcp"],
+        env={"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "")},
     ),
 ]
 

examples/tutorials/10_async/00_base/110_pydantic_ai/project/agent.py

@@ -22,6 +22,7 @@
 Guidelines:
 - Be concise and helpful
 - Use tools when they would help answer the user's question
+- When asked for the current weather in a place, call get_weather; never answer that from memory
 - If you're unsure, ask clarifying questions
 - Always provide accurate information
 """

examples/tutorials/10_async/10_temporal/010_agent_chat/project/workflow.py

@@ -55,7 +55,10 @@ class StateModel(BaseModel):
     # ),
     StdioServerParameters(
         command="uvx",
-        args=["openai-websearch-mcp"],
+        # openai-websearch-mcp pins mcp 1.13.1, which imports a private
+        # pydantic helper that pydantic 2.14 removed; uvx resolves pydantic
+        # unpinned, so cap it until the server allows a newer mcp.
+        args=["--with", "pydantic<2.14", "openai-websearch-mcp"],
         env={"OPENAI_API_KEY": os.environ.get("OPENAI_API_KEY", "")},
     ),
 ]

examples/tutorials/10_async/10_temporal/020_state_machine/project/workflows/deep_research/performing_deep_research.py

@@ -18,7 +18,10 @@
 # resolves ``mcp`` unpinned there, ignoring the version this project pins, so without
 # this constraint every server dies at import and the agent silently makes zero tool
 # calls. Drop the pin once the servers support mcp 2.x.
-_MCP_PIN = ["--with", "mcp<2"]
+# pydantic is capped for the same reason: openai-websearch-mcp pins mcp 1.13.1,
+# which imports a private pydantic helper that pydantic 2.14 removed. Drop the
+# cap once that server allows a newer mcp.
+_MCP_PIN = ["--with", "mcp<2", "--with", "pydantic<2.14"]
 
 MCP_SERVERS = [
     StdioServerParameters(

examples/tutorials/10_async/10_temporal/110_pydantic_ai/project/agent.py

@@ -41,6 +41,7 @@
 Guidelines:
 - Be concise and helpful
 - Use tools when they would help answer the user's question
+- When asked for the current weather in a place, call get_weather; never answer that from memory
 - If you're unsure, ask clarifying questions
 - Always provide accurate information
 """