Update to Temporal SDK 1.19.0

openai_agents/mcp/run_file_system_worker.py

@@ -24,13 +24,14 @@ async def main():
     samples_dir = os.path.join(current_dir, "sample_files")
 
     file_system_server = StatelessMCPServerProvider(
+        "FileSystemServer",
         lambda: MCPServerStdio(
             name="FileSystemServer",
             params={
                 "command": "npx",
                 "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir],
             },
-        )
+        ),
     )
 
     # Create client connected to server at the given address

openai_agents/mcp/run_memory_research_scratchpad_worker.py

@@ -23,13 +23,14 @@ async def main():
     logging.basicConfig(level=logging.INFO)
 
     memory_server_provider = StatefulMCPServerProvider(
-        lambda: MCPServerStdio(
+        "MemoryServer",
+        lambda _: MCPServerStdio(
             name="MemoryServer",
             params={
                 "command": "npx",
                 "args": ["-y", "@modelcontextprotocol/server-memory"],
             },
-        )
+        ),
     )
 
     # Create client connected to server at the given address

openai_agents/mcp/run_prompt_server_worker.py

@@ -24,12 +24,13 @@ async def main():
 
     try:
         prompt_server_provider = StatelessMCPServerProvider(
+            "PromptServer",
             lambda: MCPServerStreamableHttp(
                 name="PromptServer",
                 params={
                     "url": "http://localhost:8000/mcp",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address

openai_agents/mcp/run_sse_worker.py

@@ -24,12 +24,13 @@ async def main():
 
     try:
         sse_server_provider = StatelessMCPServerProvider(
+            "SseServer",
             lambda: MCPServerSse(
                 name="SseServer",
                 params={
                     "url": "http://localhost:8000/sse",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address

openai_agents/mcp/run_streamable_http_worker.py

@@ -24,12 +24,13 @@ async def main():
 
     try:
         streamable_http_server_provider = StatelessMCPServerProvider(
+            "StreamableHttpServer",
             lambda: MCPServerStreamableHttp(
                 name="StreamableHttpServer",
                 params={
                     "url": "http://localhost:8000/mcp",
                 },
-            )
+            ),
         )
 
         # Create client connected to server at the given address

pyproject.toml

@@ -6,7 +6,7 @@ authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }]
 requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
-dependencies = ["temporalio>=1.18.0,<2"]
+dependencies = ["temporalio>=1.19.0,<2"]
 
 [project.urls]
 Homepage = "https://github.com/temporalio/samples-python"