From 213166079f096e1a8d641daafad6190e7bbfd057 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Sun, 7 Sep 2025 22:50:31 -0700 Subject: [PATCH 01/19] file system mcp server example --- openai_agents/mcp/README.md | 23 ++++++++ openai_agents/mcp/run_file_system_worker.py | 54 +++++++++++++++++++ openai_agents/mcp/run_file_system_workflow.py | 30 +++++++++++ .../mcp/sample_files/favorite_books.txt | 20 +++++++ .../mcp/sample_files/favorite_cities.txt | 4 ++ .../mcp/sample_files/favorite_songs.txt | 10 ++++ .../mcp/workflows/file_system_workflow.py | 35 ++++++++++++ pyproject.toml | 2 +- uv.lock | 15 ++---- 9 files changed, 181 insertions(+), 12 deletions(-) create mode 100644 openai_agents/mcp/README.md create mode 100644 openai_agents/mcp/run_file_system_worker.py create mode 100644 openai_agents/mcp/run_file_system_workflow.py create mode 100644 openai_agents/mcp/sample_files/favorite_books.txt create mode 100644 openai_agents/mcp/sample_files/favorite_cities.txt create mode 100644 openai_agents/mcp/sample_files/favorite_songs.txt create mode 100644 openai_agents/mcp/workflows/file_system_workflow.py diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md new file mode 100644 index 00000000..b4cc5147 --- /dev/null +++ b/openai_agents/mcp/README.md @@ -0,0 +1,23 @@ +# Hosted MCP Examples + +Integration with hosted MCP (Model Context Protocol) servers using OpenAI agents in Temporal workflows. + +*Adapted from [OpenAI Agents SDK MCP examples](https://github.com/openai/openai-agents-python/tree/main/examples/mcp)* + +Before running these examples, be sure to review the [prerequisites and background on the integration](../README.md). + +## Running the Examples + +### File System MCP + +First, start the worker (supports all MCP workflows): +```bash +uv run openai_agents/mcp/run_file_system_worker.py +``` + +Connect to a hosted MCP server for file system operations: +```bash +uv run openai_agents/mcp/run_file_system_workflow.py +``` + +This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. \ No newline at end of file diff --git a/openai_agents/mcp/run_file_system_worker.py b/openai_agents/mcp/run_file_system_worker.py new file mode 100644 index 00000000..e3db85ba --- /dev/null +++ b/openai_agents/mcp/run_file_system_worker.py @@ -0,0 +1,54 @@ +from __future__ import annotations + +import asyncio +from datetime import timedelta +import os + +from temporalio.client import Client +from temporalio.contrib.openai_agents import ModelActivityParameters, OpenAIAgentsPlugin +from temporalio.contrib.openai_agents import StatelessMCPServer +from agents.mcp import MCPServerStdio +from temporalio.worker import Worker + +from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow + + +async def main(): + current_dir = os.path.dirname(os.path.abspath(__file__)) + samples_dir = os.path.join(current_dir, "sample_files") + + file_system_server = StatelessMCPServer( + MCPServerStdio( + name="FileSystemServer", + params={"command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir]}, + ) + ) + + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin( + model_params=ModelActivityParameters( + start_to_close_timeout=timedelta(seconds=60) + ), + mcp_servers=[file_system_server], + ), + ], + ) + + worker = Worker( + client, + task_queue="openai-agents-mcp-task-queue", + workflows=[ + FileSystemWorkflow, + ], + activities=[ + # No custom activities needed for these workflows + ], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_agents/mcp/run_file_system_workflow.py b/openai_agents/mcp/run_file_system_workflow.py new file mode 100644 index 00000000..de6f5960 --- /dev/null +++ b/openai_agents/mcp/run_file_system_workflow.py @@ -0,0 +1,30 @@ +import asyncio +import os + +from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin + +from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin(), + ], + ) + + # Execute a workflow + result = await client.execute_workflow( + FileSystemWorkflow.run, + id="file-system-workflow", + task_queue="openai-agents-mcp-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_agents/mcp/sample_files/favorite_books.txt b/openai_agents/mcp/sample_files/favorite_books.txt new file mode 100644 index 00000000..c55f457e --- /dev/null +++ b/openai_agents/mcp/sample_files/favorite_books.txt @@ -0,0 +1,20 @@ +1. To Kill a Mockingbird – Harper Lee +2. Pride and Prejudice – Jane Austen +3. 1984 – George Orwell +4. The Hobbit – J.R.R. Tolkien +5. Harry Potter and the Sorcerer’s Stone – J.K. Rowling +6. The Great Gatsby – F. Scott Fitzgerald +7. Charlotte’s Web – E.B. White +8. Anne of Green Gables – Lucy Maud Montgomery +9. The Alchemist – Paulo Coelho +10. Little Women – Louisa May Alcott +11. The Catcher in the Rye – J.D. Salinger +12. Animal Farm – George Orwell +13. The Chronicles of Narnia: The Lion, the Witch, and the Wardrobe – C.S. Lewis +14. The Book Thief – Markus Zusak +15. A Wrinkle in Time – Madeleine L’Engle +16. The Secret Garden – Frances Hodgson Burnett +17. Moby-Dick – Herman Melville +18. Fahrenheit 451 – Ray Bradbury +19. Jane Eyre – Charlotte Brontë +20. The Little Prince – Antoine de Saint-Exupéry \ No newline at end of file diff --git a/openai_agents/mcp/sample_files/favorite_cities.txt b/openai_agents/mcp/sample_files/favorite_cities.txt new file mode 100644 index 00000000..1d3354f2 --- /dev/null +++ b/openai_agents/mcp/sample_files/favorite_cities.txt @@ -0,0 +1,4 @@ +- In the summer, I love visiting London. +- In the winter, Tokyo is great. +- In the spring, San Francisco. +- In the fall, New York is the best. \ No newline at end of file diff --git a/openai_agents/mcp/sample_files/favorite_songs.txt b/openai_agents/mcp/sample_files/favorite_songs.txt new file mode 100644 index 00000000..d659bb58 --- /dev/null +++ b/openai_agents/mcp/sample_files/favorite_songs.txt @@ -0,0 +1,10 @@ +1. "Here Comes the Sun" – The Beatles +2. "Imagine" – John Lennon +3. "Bohemian Rhapsody" – Queen +4. "Shake It Off" – Taylor Swift +5. "Billie Jean" – Michael Jackson +6. "Uptown Funk" – Mark Ronson ft. Bruno Mars +7. "Don’t Stop Believin’" – Journey +8. "Dancing Queen" – ABBA +9. "Happy" – Pharrell Williams +10. "Wonderwall" – Oasis diff --git a/openai_agents/mcp/workflows/file_system_workflow.py b/openai_agents/mcp/workflows/file_system_workflow.py new file mode 100644 index 00000000..e14e236f --- /dev/null +++ b/openai_agents/mcp/workflows/file_system_workflow.py @@ -0,0 +1,35 @@ +from __future__ import annotations + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer +from temporalio.contrib import openai_agents +from temporalio import workflow + +@workflow.defn +class FileSystemWorkflow: + @workflow.run + async def run(self) -> str: + with trace(workflow_name="MCP Filesystem Example"): + server: MCPServer = openai_agents.workflow.stateless_mcp_server("FileSystemServer") + agent = Agent( + name="Assistant", + instructions="Use the tools to read the filesystem and answer questions based on those files.", + mcp_servers=[server], + ) + + # List the files it can read + message = "Read the files and list them." + print(f"Running: {message}") + result1 = await Runner.run(starting_agent=agent, input=message) + + # Ask about books + message = "What is my #1 favorite book?" + print(f"\n\nRunning: {message}") + result2 = await Runner.run(starting_agent=agent, input=message) + + # Ask a question that reads then reasons. + message = "Look at my favorite songs. Suggest one new song that I might like." + print(f"\n\nRunning: {message}") + result3 = await Runner.run(starting_agent=agent, input=message) + + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" diff --git a/pyproject.toml b/pyproject.toml index fa5a0300..6951990d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,7 +56,7 @@ open-telemetry = [ ] openai-agents = [ "openai-agents[litellm] >= 0.2.3", - "temporalio[openai-agents] >= 1.15.0", + "temporalio[openai-agents] @ git+https://github.com/temporalio/sdk-python.git@openai/mcp", ] pydantic-converter = ["pydantic>=2.10.6,<3"] sentry = ["sentry-sdk>=2.13.0"] diff --git a/uv.lock b/uv.lock index 9b1309d1..82217c71 100644 --- a/uv.lock +++ b/uv.lock @@ -2596,8 +2596,8 @@ wheels = [ [[package]] name = "temporalio" -version = "1.15.0" -source = { registry = "https://pypi.org/simple" } +version = "1.16.0" +source = { git = "https://github.com/temporalio/sdk-python.git?rev=openai%2Fmcp#f1a642c8b4280f8a46e6df2e5f7d75268e8d9df0" } dependencies = [ { name = "nexus-rpc" }, { name = "protobuf" }, @@ -2605,17 +2605,10 @@ dependencies = [ { name = "types-protobuf" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/0b/af/1a3619fc62333d0acbdf90cfc5ada97e68e8c0f79610363b2dbb30871d83/temporalio-1.15.0.tar.gz", hash = "sha256:a4bc6ca01717880112caab75d041713aacc8263dc66e41f5019caef68b344fa0", size = 1684485, upload-time = "2025-07-29T03:44:09.071Z" } -wheels = [ - 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{ url = "https://files.pythonhosted.org/packages/9f/2b/ba962401324892236148046dbffd805d4443d6df7a7dc33cc7964b566bf9/temporalio-1.15.0-cp39-abi3-win_amd64.whl", hash = "sha256:aae5b18d7c9960238af0f3ebf6b7e5959e05f452106fc0d21a8278d78724f780", size = 12932800, upload-time = "2025-07-29T03:44:06.271Z" }, -] [package.optional-dependencies] openai-agents = [ + { name = "mcp" }, { name = "openai-agents" }, ] opentelemetry = [ @@ -2745,7 +2738,7 @@ open-telemetry = [ ] openai-agents = [ { name = "openai-agents", extras = ["litellm"], specifier = ">=0.2.3" }, - { name = "temporalio", extras = ["openai-agents"], specifier = ">=1.15.0" }, + { name = "temporalio", extras = ["openai-agents"], git = "https://github.com/temporalio/sdk-python.git?rev=openai%2Fmcp" }, ] pydantic-converter = [{ name = "pydantic", specifier = ">=2.10.6,<3" }] sentry = [{ name = "sentry-sdk", specifier = ">=2.13.0" }] From 4336f0d52cceb16ed28b8ac7ebbcdf376bf97a0b Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Sun, 7 Sep 2025 22:52:23 -0700 Subject: [PATCH 02/19] typo --- openai_agents/mcp/workflows/file_system_workflow.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/openai_agents/mcp/workflows/file_system_workflow.py b/openai_agents/mcp/workflows/file_system_workflow.py index e14e236f..bdfe1954 100644 --- a/openai_agents/mcp/workflows/file_system_workflow.py +++ b/openai_agents/mcp/workflows/file_system_workflow.py @@ -9,7 +9,7 @@ class FileSystemWorkflow: @workflow.run async def run(self) -> str: - with trace(workflow_name="MCP Filesystem Example"): + with trace(workflow_name="MCP File System Example"): server: MCPServer = openai_agents.workflow.stateless_mcp_server("FileSystemServer") agent = Agent( name="Assistant", From 3a29a7a1bad255070bf54832b9273e672dd0b0c6 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Tue, 16 Sep 2025 22:56:39 -0700 Subject: [PATCH 03/19] stateful and stateless demos --- openai_agents/mcp/README.md | 20 +++++-- .../mcp/run_file_system_stateful_worker.py | 60 +++++++++++++++++++ ...y => run_file_system_stateful_workflow.py} | 4 +- ...py => run_file_system_stateless_worker.py} | 22 ++++--- .../mcp/run_file_system_stateless_workflow.py | 32 ++++++++++ .../file_system_stateful_workflow.py | 42 +++++++++++++ ...w.py => file_system_stateless_workflow.py} | 13 ++-- 7 files changed, 176 insertions(+), 17 deletions(-) create mode 100644 openai_agents/mcp/run_file_system_stateful_worker.py rename openai_agents/mcp/{run_file_system_workflow.py => run_file_system_stateful_workflow.py} (79%) rename openai_agents/mcp/{run_file_system_worker.py => run_file_system_stateless_worker.py} (71%) create mode 100644 openai_agents/mcp/run_file_system_stateless_workflow.py create mode 100644 openai_agents/mcp/workflows/file_system_stateful_workflow.py rename openai_agents/mcp/workflows/{file_system_workflow.py => file_system_stateless_workflow.py} (87%) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index b4cc5147..bfd343c6 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -8,16 +8,28 @@ Before running these examples, be sure to review the [prerequisites and backgrou ## Running the Examples -### File System MCP +### File System MCP - Stateless First, start the worker (supports all MCP workflows): ```bash -uv run openai_agents/mcp/run_file_system_worker.py +uv run openai_agents/mcp/run_file_system_stateless_worker.py ``` Connect to a hosted MCP server for file system operations: ```bash -uv run openai_agents/mcp/run_file_system_workflow.py +uv run openai_agents/mcp/run_file_system_stateless_workflow.py ``` -This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. \ No newline at end of file +This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. + +### File System MCP - Stateful + +First, start the worker (supports all MCP workflows): +```bash +uv run openai_agents/mcp/run_file_system_stateful_worker.py +``` + +Connect to a hosted MCP server for file system operations: +```bash +uv run openai_agents/mcp/run_file_system_stateful_workflow.py +``` \ No newline at end of file diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py new file mode 100644 index 00000000..835455ea --- /dev/null +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -0,0 +1,60 @@ +from __future__ import annotations + +import asyncio +import os +from datetime import timedelta + +from agents.mcp import MCPServerStdio +from temporalio.client import Client +from temporalio.contrib.openai_agents import ( + ModelActivityParameters, + OpenAIAgentsPlugin, + StatefulMCPServer, +) +from temporalio.worker import Worker + +from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow + + +async def main(): + current_dir = os.path.dirname(os.path.abspath(__file__)) + samples_dir = os.path.join(current_dir, "sample_files") + + file_system_server = StatefulMCPServer( + MCPServerStdio( + name="FileSystemServer", + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + }, + ) + ) + + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin( + model_params=ModelActivityParameters( + start_to_close_timeout=timedelta(seconds=60) + ), + mcp_servers=[file_system_server], + ), + ], + ) + + worker = Worker( + client, + task_queue="openai-agents-mcp-stateful-task-queue", + workflows=[ + FileSystemWorkflow, + ], + activities=[ + # No custom activities needed for these workflows + ], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_agents/mcp/run_file_system_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py similarity index 79% rename from openai_agents/mcp/run_file_system_workflow.py rename to openai_agents/mcp/run_file_system_stateful_workflow.py index de6f5960..326e8b3c 100644 --- a/openai_agents/mcp/run_file_system_workflow.py +++ b/openai_agents/mcp/run_file_system_stateful_workflow.py @@ -4,7 +4,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow +from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow async def main(): @@ -20,7 +20,7 @@ async def main(): result = await client.execute_workflow( FileSystemWorkflow.run, id="file-system-workflow", - task_queue="openai-agents-mcp-task-queue", + task_queue="openai-agents-mcp-stateful-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_file_system_worker.py b/openai_agents/mcp/run_file_system_stateless_worker.py similarity index 71% rename from openai_agents/mcp/run_file_system_worker.py rename to openai_agents/mcp/run_file_system_stateless_worker.py index e3db85ba..ff9d7539 100644 --- a/openai_agents/mcp/run_file_system_worker.py +++ b/openai_agents/mcp/run_file_system_stateless_worker.py @@ -1,16 +1,21 @@ from __future__ import annotations import asyncio -from datetime import timedelta import os +from datetime import timedelta -from temporalio.client import Client -from temporalio.contrib.openai_agents import ModelActivityParameters, OpenAIAgentsPlugin -from temporalio.contrib.openai_agents import StatelessMCPServer from agents.mcp import MCPServerStdio +from temporalio.client import Client +from temporalio.contrib.openai_agents import ( + ModelActivityParameters, + OpenAIAgentsPlugin, + StatelessMCPServer, +) from temporalio.worker import Worker -from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow +from openai_agents.mcp.workflows.file_system_stateless_workflow import ( + FileSystemWorkflow, +) async def main(): @@ -20,7 +25,10 @@ async def main(): file_system_server = StatelessMCPServer( MCPServerStdio( name="FileSystemServer", - params={"command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir]}, + params={ + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + }, ) ) @@ -39,7 +47,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-task-queue", + task_queue="openai-agents-mcp-stateless-task-queue", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateless_workflow.py b/openai_agents/mcp/run_file_system_stateless_workflow.py new file mode 100644 index 00000000..81592a10 --- /dev/null +++ b/openai_agents/mcp/run_file_system_stateless_workflow.py @@ -0,0 +1,32 @@ +import asyncio +import os + +from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin + +from openai_agents.mcp.workflows.file_system_stateless_workflow import ( + FileSystemWorkflow, +) + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin(), + ], + ) + + # Execute a workflow + result = await client.execute_workflow( + FileSystemWorkflow.run, + id="file-system-workflow", + task_queue="openai-agents-mcp-stateless-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/file_system_stateful_workflow.py new file mode 100644 index 00000000..d48160b1 --- /dev/null +++ b/openai_agents/mcp/workflows/file_system_stateful_workflow.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +from datetime import timedelta + +from agents import Agent, Runner, trace +from temporalio import workflow +from temporalio.contrib import openai_agents as temporal_openai_agents + + +@workflow.defn +class FileSystemWorkflow: + @workflow.run + async def run(self) -> str: + async with temporal_openai_agents.workflow.stateful_mcp_server( + "FileSystemServer", + workflow.ActivityConfig(start_to_close_timeout=timedelta(seconds=60)), + ) as server: + with trace(workflow_name="MCP File System Example"): + agent = Agent( + name="Assistant", + instructions="Use the tools to read the filesystem and answer questions based on those files.", + mcp_servers=[server], + ) + + # List the files it can read + message = "Read the files and list them." + print(f"Running: {message}") + result1 = await Runner.run(starting_agent=agent, input=message) + + # Ask about books + message = "What is my #1 favorite book?" + print(f"\n\nRunning: {message}") + result2 = await Runner.run(starting_agent=agent, input=message) + + # Ask a question that reads then reasons. + message = ( + "Look at my favorite songs. Suggest one new song that I might like." + ) + print(f"\n\nRunning: {message}") + result3 = await Runner.run(starting_agent=agent, input=message) + + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" diff --git a/openai_agents/mcp/workflows/file_system_workflow.py b/openai_agents/mcp/workflows/file_system_stateless_workflow.py similarity index 87% rename from openai_agents/mcp/workflows/file_system_workflow.py rename to openai_agents/mcp/workflows/file_system_stateless_workflow.py index bdfe1954..c77c4357 100644 --- a/openai_agents/mcp/workflows/file_system_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateless_workflow.py @@ -2,21 +2,24 @@ from agents import Agent, Runner, trace from agents.mcp import MCPServer -from temporalio.contrib import openai_agents from temporalio import workflow +from temporalio.contrib import openai_agents + @workflow.defn class FileSystemWorkflow: @workflow.run async def run(self) -> str: with trace(workflow_name="MCP File System Example"): - server: MCPServer = openai_agents.workflow.stateless_mcp_server("FileSystemServer") + server: MCPServer = openai_agents.workflow.stateless_mcp_server( + "FileSystemServer" + ) agent = Agent( name="Assistant", instructions="Use the tools to read the filesystem and answer questions based on those files.", mcp_servers=[server], ) - + # List the files it can read message = "Read the files and list them." print(f"Running: {message}") @@ -28,7 +31,9 @@ async def run(self) -> str: result2 = await Runner.run(starting_agent=agent, input=message) # Ask a question that reads then reasons. - message = "Look at my favorite songs. Suggest one new song that I might like." + message = ( + "Look at my favorite songs. Suggest one new song that I might like." + ) print(f"\n\nRunning: {message}") result3 = await Runner.run(starting_agent=agent, input=message) From 3cdf46d26d02340f7ac9c7c2abbcc5a7288e2937 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Wed, 17 Sep 2025 08:26:42 -0700 Subject: [PATCH 04/19] wip --- openai_agents/mcp/run_file_system_stateful_worker.py | 5 +++++ openai_agents/mcp/run_file_system_stateful_workflow.py | 3 ++- openai_agents/mcp/workflows/file_system_stateful_workflow.py | 2 +- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py index 835455ea..268b124c 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -11,12 +11,16 @@ OpenAIAgentsPlugin, StatefulMCPServer, ) +import logging from temporalio.worker import Worker from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow async def main(): + + logging.basicConfig(level=logging.DEBUG) + current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") @@ -53,6 +57,7 @@ async def main(): # No custom activities needed for these workflows ], ) + logging.debug("STARTED WORKER") await worker.run() diff --git a/openai_agents/mcp/run_file_system_stateful_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py index 326e8b3c..393f06b6 100644 --- a/openai_agents/mcp/run_file_system_stateful_workflow.py +++ b/openai_agents/mcp/run_file_system_stateful_workflow.py @@ -6,6 +6,7 @@ from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow +import uuid async def main(): # Create client connected to server at the given address @@ -19,7 +20,7 @@ async def main(): # Execute a workflow result = await client.execute_workflow( FileSystemWorkflow.run, - id="file-system-workflow", + id=f"file-system-workflow-{uuid.uuid4()}", task_queue="openai-agents-mcp-stateful-task-queue", ) diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/file_system_stateful_workflow.py index d48160b1..4eb1a198 100644 --- a/openai_agents/mcp/workflows/file_system_stateful_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateful_workflow.py @@ -13,7 +13,7 @@ class FileSystemWorkflow: async def run(self) -> str: async with temporal_openai_agents.workflow.stateful_mcp_server( "FileSystemServer", - workflow.ActivityConfig(start_to_close_timeout=timedelta(seconds=60)), + #workflow.ActivityConfig(start_to_close_timeout=timedelta(seconds=120)), ) as server: with trace(workflow_name="MCP File System Example"): agent = Agent( From 4c94eca8a5413adc928559744e0bce0660d97c5a Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Thu, 18 Sep 2025 13:51:36 -0700 Subject: [PATCH 05/19] update to provider --- .../mcp/run_file_system_stateful_worker.py | 6 ++--- .../file_system_stateful_workflow.py | 1 - pyproject.toml | 6 ++--- uv.lock | 24 +++++++++++-------- 4 files changed, 20 insertions(+), 17 deletions(-) diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py index 268b124c..edd0a9f7 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -9,7 +9,7 @@ from temporalio.contrib.openai_agents import ( ModelActivityParameters, OpenAIAgentsPlugin, - StatefulMCPServer, + StatefulMCPServerProvider, ) import logging from temporalio.worker import Worker @@ -24,8 +24,8 @@ async def main(): current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") - file_system_server = StatefulMCPServer( - MCPServerStdio( + file_system_server = StatefulMCPServerProvider( + lambda: MCPServerStdio( name="FileSystemServer", params={ "command": "npx", diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/file_system_stateful_workflow.py index 4eb1a198..fea1f9fe 100644 --- a/openai_agents/mcp/workflows/file_system_stateful_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateful_workflow.py @@ -13,7 +13,6 @@ class FileSystemWorkflow: async def run(self) -> str: async with temporal_openai_agents.workflow.stateful_mcp_server( "FileSystemServer", - #workflow.ActivityConfig(start_to_close_timeout=timedelta(seconds=120)), ) as server: with trace(workflow_name="MCP File System Example"): agent = Agent( diff --git a/pyproject.toml b/pyproject.toml index 6951990d..734a9ce3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,8 +55,8 @@ open-telemetry = [ "opentelemetry-exporter-otlp-proto-grpc", ] openai-agents = [ - "openai-agents[litellm] >= 0.2.3", - "temporalio[openai-agents] @ git+https://github.com/temporalio/sdk-python.git@openai/mcp", + "openai-agents[litellm] == 0.3.0", + "temporalio[openai-agents]", ] pydantic-converter = ["pydantic>=2.10.6,<3"] sentry = ["sentry-sdk>=2.13.0"] @@ -143,4 +143,4 @@ ignore_errors = true [[tool.mypy.overrides]] module = "opentelemetry.*" -ignore_errors = true \ No newline at end of file +ignore_errors = true diff --git a/uv.lock b/uv.lock index 82217c71..8174ed8f 100644 --- a/uv.lock +++ b/uv.lock @@ -1458,7 +1458,7 @@ wheels = [ [[package]] name = "openai" -version = "1.97.1" +version = "1.108.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -1470,14 +1470,14 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/a6/57/1c471f6b3efb879d26686d31582997615e969f3bb4458111c9705e56332e/openai-1.97.1.tar.gz", hash = "sha256:a744b27ae624e3d4135225da9b1c89c107a2a7e5bc4c93e5b7b5214772ce7a4e", size = 494267, upload-time = "2025-07-22T13:10:12.607Z" } +sdist = { url = "https://files.pythonhosted.org/packages/07/3c/3ea4c40c62d5f4b11690de13de35554d0d49b5e5780669fad5e83562d635/openai-1.108.0.tar.gz", hash = "sha256:e859c64e4202d7f5956f19280eee92bb281f211c41cdd5be9e63bf51a024ff72", size = 564659, upload-time = "2025-09-17T22:03:23.075Z" } wheels = [ - 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{ url = "https://files.pythonhosted.org/packages/eb/a7/d6bdf69a54c15d237a2be979981f33dab8f5da53f9bc2e734fb2b58592ca/openai_agents-0.2.3-py3-none-any.whl", hash = "sha256:15c5602de7076a5df6d11f07a18ffe0cf4f6811f6135b301acdd1998398a6d5c", size = 161393, upload-time = "2025-07-21T19:34:18.883Z" }, + { url = "https://files.pythonhosted.org/packages/46/3b/58ee42582716645aa1a5c30c1e337dc9a7433f7f0b5ed84ef02a35368abb/openai_agents-0.3.0-py3-none-any.whl", hash = "sha256:16de8a28729ae9e27faad7ce146a4b74acf05c9eeca3fe23299f6e621a3893ed", size = 185007, upload-time = "2025-09-11T19:20:08.304Z" }, ] [package.optional-dependencies] @@ -2596,8 +2596,8 @@ wheels = [ [[package]] name = "temporalio" -version = "1.16.0" -source = { git = "https://github.com/temporalio/sdk-python.git?rev=openai%2Fmcp#f1a642c8b4280f8a46e6df2e5f7d75268e8d9df0" } +version = "1.17.0" +source = { registry = "../sdk-python/dist" } dependencies = [ { name = "nexus-rpc" }, { name = "protobuf" }, @@ -2605,6 +2605,10 @@ dependencies = [ { name = "types-protobuf" }, { name = "typing-extensions" }, ] +sdist = { path = "temporalio-1.17.0.tar.gz" } +wheels = [ + { path = "temporalio-1.17.0-cp39-abi3-macosx_11_0_arm64.whl" }, +] [package.optional-dependencies] openai-agents = [ @@ -2737,8 +2741,8 @@ open-telemetry = [ { name = "temporalio", extras = ["opentelemetry"] }, ] openai-agents = [ - { name = "openai-agents", extras = ["litellm"], specifier = ">=0.2.3" }, - { name = "temporalio", extras = ["openai-agents"], git = "https://github.com/temporalio/sdk-python.git?rev=openai%2Fmcp" }, + { name = "openai-agents", extras = ["litellm"], specifier = "==0.3.0" }, + { name = "temporalio", extras = ["openai-agents"] }, ] pydantic-converter = [{ name = "pydantic", specifier = ">=2.10.6,<3" }] sentry = [{ name = "sentry-sdk", specifier = ">=2.13.0" }] From 9c2efe704c9dfab56c257ac2bce29a2b4d2f808f Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Thu, 18 Sep 2025 13:56:07 -0700 Subject: [PATCH 06/19] provider --- openai_agents/mcp/run_file_system_stateful_worker.py | 4 ++-- openai_agents/mcp/run_file_system_stateless_worker.py | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py index edd0a9f7..2d3b2d82 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -24,7 +24,7 @@ async def main(): current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") - file_system_server = StatefulMCPServerProvider( + file_system_server_provider = StatefulMCPServerProvider( lambda: MCPServerStdio( name="FileSystemServer", params={ @@ -42,7 +42,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[file_system_server], + mcp_servers=[file_system_server_provider], ), ], ) diff --git a/openai_agents/mcp/run_file_system_stateless_worker.py b/openai_agents/mcp/run_file_system_stateless_worker.py index ff9d7539..05eae6ee 100644 --- a/openai_agents/mcp/run_file_system_stateless_worker.py +++ b/openai_agents/mcp/run_file_system_stateless_worker.py @@ -22,6 +22,7 @@ async def main(): current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") + # TODO: StatelessMCPServer will switch to StatelessMCPServerProvider instead file_system_server = StatelessMCPServer( MCPServerStdio( name="FileSystemServer", From 5d6888733efdea91ea94dda8b2ebbf52b6876341 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Thu, 18 Sep 2025 13:57:36 -0700 Subject: [PATCH 07/19] title --- openai_agents/mcp/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index bfd343c6..18b921df 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -1,4 +1,4 @@ -# Hosted MCP Examples +# MCP Examples Integration with hosted MCP (Model Context Protocol) servers using OpenAI agents in Temporal workflows. From 83b678f281b9a763f7b2e0c916b8a8d81d5950e2 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Thu, 18 Sep 2025 21:15:19 -0700 Subject: [PATCH 08/19] add more examples --- openai_agents/mcp/README.md | 68 + .../mcp/run_file_system_stateful_workflow.py | 1 - .../mcp/run_file_system_stateless_worker.py | 9 +- .../mcp/run_file_system_stateless_workflow.py | 5 +- .../mcp/run_prompt_server_stateless_worker.py | 66 + .../run_prompt_server_stateless_workflow.py | 25 + openai_agents/mcp/run_sse_stateless_worker.py | 66 + .../mcp/run_sse_stateless_workflow.py | 25 + .../run_streamable_http_stateless_worker.py | 66 + .../run_streamable_http_stateless_workflow.py | 25 + openai_agents/mcp/servers/prompt_server.py | 37 + openai_agents/mcp/servers/tools_server.py | 44 + .../file_system_stateful_workflow.py | 2 - .../prompt_server_stateless_workflow.py | 65 + .../mcp/workflows/sse_stateless_workflow.py | 38 + .../streamable_http_stateless_workflow.py | 38 + pyproject.toml | 2 +- uv.lock | 2227 +++++++++-------- 18 files changed, 1741 insertions(+), 1068 deletions(-) create mode 100644 openai_agents/mcp/run_prompt_server_stateless_worker.py create mode 100644 openai_agents/mcp/run_prompt_server_stateless_workflow.py create mode 100644 openai_agents/mcp/run_sse_stateless_worker.py create mode 100644 openai_agents/mcp/run_sse_stateless_workflow.py create mode 100644 openai_agents/mcp/run_streamable_http_stateless_worker.py create mode 100644 openai_agents/mcp/run_streamable_http_stateless_workflow.py create mode 100644 openai_agents/mcp/servers/prompt_server.py create mode 100644 openai_agents/mcp/servers/tools_server.py create mode 100644 openai_agents/mcp/workflows/prompt_server_stateless_workflow.py create mode 100644 openai_agents/mcp/workflows/sse_stateless_workflow.py create mode 100644 openai_agents/mcp/workflows/streamable_http_stateless_workflow.py diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index 18b921df..73217946 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -6,6 +6,23 @@ Integration with hosted MCP (Model Context Protocol) servers using OpenAI agents Before running these examples, be sure to review the [prerequisites and background on the integration](../README.md). +## MCP Server Dependencies + +All examples use self-contained MCP servers in the `servers/` directory. The servers require these dependencies: + +```bash +pip install mcp requests +# or +uv add mcp requests +``` + +## Server Implementations + +The `servers/` directory contains self-contained MCP server implementations: + +- **`tools_server.py`** - Multi-transport MCP server with tools for arithmetic, weather, and random words. Supports both `--transport=streamable-http` and `--transport=sse` +- **`prompt_server.py`** - MCP server that provides prompts for generating agent instructions (code review example) + ## Running the Examples ### File System MCP - Stateless @@ -32,4 +49,55 @@ uv run openai_agents/mcp/run_file_system_stateful_worker.py Connect to a hosted MCP server for file system operations: ```bash uv run openai_agents/mcp/run_file_system_stateful_workflow.py +``` + +### Streamable HTTP MCP - Stateless + +First, start the MCP server: +```bash +uv run openai_agents/mcp/servers/tools_server.py --transport=streamable-http +``` + +Then start the worker: +```bash +uv run openai_agents/mcp/run_streamable_http_stateless_worker.py +``` + +Finally, run the workflow: +```bash +uv run openai_agents/mcp/run_streamable_http_stateless_workflow.py +``` + +### SSE MCP - Stateless + +First, start the MCP server: +```bash +uv run openai_agents/mcp/servers/tools_server.py --transport=sse +``` + +Then start the worker: +```bash +uv run openai_agents/mcp/run_sse_stateless_worker.py +``` + +Finally, run the workflow: +```bash +uv run openai_agents/mcp/run_sse_stateless_workflow.py +``` + +### Prompt Server MCP - Stateless + +First, start the MCP server: +```bash +uv run openai_agents/mcp/servers/prompt_server.py +``` + +Then start the worker: +```bash +uv run openai_agents/mcp/run_prompt_server_stateless_worker.py +``` + +Finally, run the workflow: +```bash +uv run openai_agents/mcp/run_prompt_server_stateless_workflow.py ``` \ No newline at end of file diff --git a/openai_agents/mcp/run_file_system_stateful_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py index 393f06b6..88207803 100644 --- a/openai_agents/mcp/run_file_system_stateful_workflow.py +++ b/openai_agents/mcp/run_file_system_stateful_workflow.py @@ -1,5 +1,4 @@ import asyncio -import os from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin diff --git a/openai_agents/mcp/run_file_system_stateless_worker.py b/openai_agents/mcp/run_file_system_stateless_worker.py index 05eae6ee..680a371a 100644 --- a/openai_agents/mcp/run_file_system_stateless_worker.py +++ b/openai_agents/mcp/run_file_system_stateless_worker.py @@ -3,13 +3,14 @@ import asyncio import os from datetime import timedelta +import uuid from agents.mcp import MCPServerStdio from temporalio.client import Client from temporalio.contrib.openai_agents import ( ModelActivityParameters, OpenAIAgentsPlugin, - StatelessMCPServer, + StatelessMCPServerProvider, ) from temporalio.worker import Worker @@ -23,8 +24,8 @@ async def main(): samples_dir = os.path.join(current_dir, "sample_files") # TODO: StatelessMCPServer will switch to StatelessMCPServerProvider instead - file_system_server = StatelessMCPServer( - MCPServerStdio( + file_system_server = StatelessMCPServerProvider( + lambda: MCPServerStdio( name="FileSystemServer", params={ "command": "npx", @@ -48,7 +49,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue=f"openai-agents-mcp-stateless-task-queue-{uuid.uuid4()}", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateless_workflow.py b/openai_agents/mcp/run_file_system_stateless_workflow.py index 81592a10..2a0d2975 100644 --- a/openai_agents/mcp/run_file_system_stateless_workflow.py +++ b/openai_agents/mcp/run_file_system_stateless_workflow.py @@ -1,5 +1,4 @@ import asyncio -import os from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin @@ -7,7 +6,7 @@ from openai_agents.mcp.workflows.file_system_stateless_workflow import ( FileSystemWorkflow, ) - +import uuid async def main(): # Create client connected to server at the given address @@ -21,7 +20,7 @@ async def main(): # Execute a workflow result = await client.execute_workflow( FileSystemWorkflow.run, - id="file-system-workflow", + id=f"file-system-workflow-{uuid.uuid4()}", task_queue="openai-agents-mcp-stateless-task-queue", ) diff --git a/openai_agents/mcp/run_prompt_server_stateless_worker.py b/openai_agents/mcp/run_prompt_server_stateless_worker.py new file mode 100644 index 00000000..a31ec905 --- /dev/null +++ b/openai_agents/mcp/run_prompt_server_stateless_worker.py @@ -0,0 +1,66 @@ +from __future__ import annotations + +import asyncio +import shutil +from datetime import timedelta + +from agents.mcp import MCPServerStreamableHttp +from temporalio.client import Client +from temporalio.contrib.openai_agents import ( + ModelActivityParameters, + OpenAIAgentsPlugin, + StatelessMCPServerProvider, +) +import logging +from temporalio.worker import Worker + +from openai_agents.mcp.workflows.prompt_server_stateless_workflow import PromptServerWorkflow + + +async def main(): + logging.basicConfig(level=logging.DEBUG) + + print("Setting up worker...\n") + + try: + prompt_server_provider = StatelessMCPServerProvider( + lambda: MCPServerStreamableHttp( + name="PromptServer", + params={ + "url": "http://localhost:8000/mcp", + }, + ) + ) + + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin( + model_params=ModelActivityParameters( + start_to_close_timeout=timedelta(seconds=120) + ), + mcp_servers=[prompt_server_provider], + ), + ], + ) + + worker = Worker( + client, + task_queue="openai-agents-mcp-stateless-task-queue", + workflows=[ + PromptServerWorkflow, + ], + activities=[ + # No custom activities needed for these workflows + ], + ) + logging.debug("STARTED WORKER") + await worker.run() + except Exception as e: + print(f"Worker failed: {e}") + raise + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/run_prompt_server_stateless_workflow.py b/openai_agents/mcp/run_prompt_server_stateless_workflow.py new file mode 100644 index 00000000..de6e71fb --- /dev/null +++ b/openai_agents/mcp/run_prompt_server_stateless_workflow.py @@ -0,0 +1,25 @@ +from __future__ import annotations + +import asyncio + +from temporalio.client import Client + +from openai_agents.mcp.workflows.prompt_server_stateless_workflow import PromptServerWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + # Execute a workflow + result = await client.execute_workflow( + PromptServerWorkflow.run, + id="prompt-server-workflow", + task_queue="openai-agents-mcp-stateless-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/run_sse_stateless_worker.py b/openai_agents/mcp/run_sse_stateless_worker.py new file mode 100644 index 00000000..863b22c8 --- /dev/null +++ b/openai_agents/mcp/run_sse_stateless_worker.py @@ -0,0 +1,66 @@ +from __future__ import annotations + +import asyncio +import shutil +from datetime import timedelta + +from agents.mcp import MCPServerSse +from temporalio.client import Client +from temporalio.contrib.openai_agents import ( + ModelActivityParameters, + OpenAIAgentsPlugin, + StatelessMCPServerProvider, +) +import logging +from temporalio.worker import Worker + +from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow + + +async def main(): + logging.basicConfig(level=logging.DEBUG) + + print("Setting up worker...\n") + + try: + sse_server_provider = StatelessMCPServerProvider( + lambda: MCPServerSse( + name="SseServer", + params={ + "url": "http://localhost:8000/sse", + }, + ) + ) + + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin( + model_params=ModelActivityParameters( + start_to_close_timeout=timedelta(seconds=60) + ), + mcp_servers=[sse_server_provider], + ), + ], + ) + + worker = Worker( + client, + task_queue="openai-agents-mcp-stateless-task-queue", + workflows=[ + SseWorkflow, + ], + activities=[ + # No custom activities needed for these workflows + ], + ) + logging.debug("STARTED WORKER") + await worker.run() + except Exception as e: + print(f"Worker failed: {e}") + raise + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/run_sse_stateless_workflow.py b/openai_agents/mcp/run_sse_stateless_workflow.py new file mode 100644 index 00000000..818bf46e --- /dev/null +++ b/openai_agents/mcp/run_sse_stateless_workflow.py @@ -0,0 +1,25 @@ +from __future__ import annotations + +import asyncio + +from temporalio.client import Client + +from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + # Execute a workflow + result = await client.execute_workflow( + SseWorkflow.run, + id="sse-stateless-workflow", + task_queue="openai-agents-mcp-stateless-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/run_streamable_http_stateless_worker.py b/openai_agents/mcp/run_streamable_http_stateless_worker.py new file mode 100644 index 00000000..c43fa360 --- /dev/null +++ b/openai_agents/mcp/run_streamable_http_stateless_worker.py @@ -0,0 +1,66 @@ +from __future__ import annotations + +import asyncio +import shutil +from datetime import timedelta + +from agents.mcp import MCPServerStreamableHttp +from temporalio.client import Client +from temporalio.contrib.openai_agents import ( + ModelActivityParameters, + OpenAIAgentsPlugin, + StatelessMCPServerProvider, +) +import logging +from temporalio.worker import Worker + +from openai_agents.mcp.workflows.streamable_http_stateless_workflow import StreamableHttpWorkflow + + +async def main(): + logging.basicConfig(level=logging.DEBUG) + + print("Setting up worker...\n") + + try: + streamable_http_server_provider = StatelessMCPServerProvider( + lambda: MCPServerStreamableHttp( + name="StreamableHttpServer", + params={ + "url": "http://localhost:8000/mcp", + }, + ) + ) + + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + plugins=[ + OpenAIAgentsPlugin( + model_params=ModelActivityParameters( + start_to_close_timeout=timedelta(seconds=60) + ), + mcp_servers=[streamable_http_server_provider], + ), + ], + ) + + worker = Worker( + client, + task_queue="openai-agents-mcp-stateless-task-queue", + workflows=[ + StreamableHttpWorkflow, + ], + activities=[ + # No custom activities needed for these workflows + ], + ) + logging.debug("STARTED WORKER") + await worker.run() + except Exception as e: + print(f"Worker failed: {e}") + raise + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/run_streamable_http_stateless_workflow.py b/openai_agents/mcp/run_streamable_http_stateless_workflow.py new file mode 100644 index 00000000..95e282ab --- /dev/null +++ b/openai_agents/mcp/run_streamable_http_stateless_workflow.py @@ -0,0 +1,25 @@ +from __future__ import annotations + +import asyncio + +from temporalio.client import Client + +from openai_agents.mcp.workflows.streamable_http_stateless_workflow import StreamableHttpWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + # Execute a workflow + result = await client.execute_workflow( + StreamableHttpWorkflow.run, + id="streamable-http-stateless-workflow", + task_queue="openai-agents-mcp-stateless-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) \ No newline at end of file diff --git a/openai_agents/mcp/servers/prompt_server.py b/openai_agents/mcp/servers/prompt_server.py new file mode 100644 index 00000000..fd7f9136 --- /dev/null +++ b/openai_agents/mcp/servers/prompt_server.py @@ -0,0 +1,37 @@ +from mcp.server.fastmcp import FastMCP + +# Create server +mcp = FastMCP("Prompt Server") + + +# Instruction-generating prompts (user-controlled) +@mcp.prompt() +def generate_code_review_instructions( + focus: str = "general code quality", language: str = "python" +) -> str: + """Generate agent instructions for code review tasks""" + print(f"[debug-server] generate_code_review_instructions({focus}, {language})") + + return f"""You are a senior {language} code review specialist. Your role is to provide comprehensive code analysis with focus on {focus}. + +INSTRUCTIONS: +- Analyze code for quality, security, performance, and best practices +- Provide specific, actionable feedback with examples +- Identify potential bugs, vulnerabilities, and optimization opportunities +- Suggest improvements with code examples when applicable +- Be constructive and educational in your feedback +- Focus particularly on {focus} aspects + +RESPONSE FORMAT: +1. Overall Assessment +2. Specific Issues Found +3. Security Considerations +4. Performance Notes +5. Recommended Improvements +6. Best Practices Suggestions + +Use the available tools to check current time if you need timestamps for your analysis.""" + + +if __name__ == "__main__": + mcp.run(transport="streamable-http") \ No newline at end of file diff --git a/openai_agents/mcp/servers/tools_server.py b/openai_agents/mcp/servers/tools_server.py new file mode 100644 index 00000000..9466f7b6 --- /dev/null +++ b/openai_agents/mcp/servers/tools_server.py @@ -0,0 +1,44 @@ +import argparse +import random + +import requests +from mcp.server.fastmcp import FastMCP + +# Create server +mcp = FastMCP("Tools Server") + + +@mcp.tool() +def add(a: int, b: int) -> int: + """Add two numbers""" + print(f"[debug-server] add({a}, {b})") + return a + b + + +@mcp.tool() +def get_secret_word() -> str: + print("[debug-server] get_secret_word()") + return random.choice(["apple", "banana", "cherry"]) + + +@mcp.tool() +def get_current_weather(city: str) -> str: + print(f"[debug-server] get_current_weather({city})") + + endpoint = "https://wttr.in" + response = requests.get(f"{endpoint}/{city}") + return response.text + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="MCP Tools Server") + parser.add_argument( + "--transport", + choices=["streamable-http", "sse"], + default="streamable-http", + help="Transport type (default: streamable-http)" + ) + args = parser.parse_args() + + print(f"Starting Tools Server with {args.transport} transport...") + mcp.run(transport=args.transport) \ No newline at end of file diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/file_system_stateful_workflow.py index fea1f9fe..f79412ca 100644 --- a/openai_agents/mcp/workflows/file_system_stateful_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateful_workflow.py @@ -1,7 +1,5 @@ from __future__ import annotations -from datetime import timedelta - from agents import Agent, Runner, trace from temporalio import workflow from temporalio.contrib import openai_agents as temporal_openai_agents diff --git a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py new file mode 100644 index 00000000..c2a29e7f --- /dev/null +++ b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer +from temporalio import workflow +from temporalio.contrib import openai_agents + + +@workflow.defn +class PromptServerWorkflow: + @workflow.run + async def run(self) -> str: + with trace(workflow_name="MCP Prompt Server Example"): + server: MCPServer = openai_agents.workflow.stateless_mcp_server( + "PromptServer" + ) + + # Show available prompts + print("=== AVAILABLE PROMPTS ===") + prompts_result = await server.list_prompts() + print("User can select from these prompts:") + for i, prompt in enumerate(prompts_result.prompts, 1): + print(f" {i}. {prompt.name} - {prompt.description}") + print() + + # Demo code review with user-selected prompt + print("=== CODE REVIEW DEMO ===") + + # Get instructions from prompt + print("Getting instructions from prompt: generate_code_review_instructions") + try: + prompt_result = await server.get_prompt("generate_code_review_instructions", { + "focus": "security vulnerabilities", + "language": "python" + }) + content = prompt_result.messages[0].content + if hasattr(content, "text"): + instructions = content.text + else: + instructions = str(content) + print("Generated instructions") + except Exception as e: + print(f"Failed to get instructions: {e}") + instructions = f"You are a helpful assistant. Error: {e}" + + agent = Agent( + name="Code Reviewer Agent", + instructions=instructions, + ) + + message = """Please review this code: + +def process_user_input(user_input): + command = f"echo {user_input}" + os.system(command) + return "Command executed" + +""" + + print(f"Running: {message[:60]}...") + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + print("\n" + "=" * 50 + "\n") + + return "Prompt server demo completed successfully" \ No newline at end of file diff --git a/openai_agents/mcp/workflows/sse_stateless_workflow.py b/openai_agents/mcp/workflows/sse_stateless_workflow.py new file mode 100644 index 00000000..2b9e949d --- /dev/null +++ b/openai_agents/mcp/workflows/sse_stateless_workflow.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer +from temporalio import workflow +from temporalio.contrib import openai_agents + + +@workflow.defn +class SseWorkflow: + @workflow.run + async def run(self) -> str: + with trace(workflow_name="MCP SSE Example"): + server: MCPServer = openai_agents.workflow.stateless_mcp_server( + "SseServer" + ) + agent = Agent( + name="Assistant", + instructions="Use the tools to answer the questions.", + mcp_servers=[server], + ) + + # Use the `add` tool to add two numbers + message = "Add these numbers: 7 and 22." + print(f"Running: {message}") + result1 = await Runner.run(starting_agent=agent, input=message) + + # Run the `get_weather` tool + message = "What's the weather in Tokyo?" + print(f"\n\nRunning: {message}") + result2 = await Runner.run(starting_agent=agent, input=message) + + # Run the `get_secret_word` tool + message = "What's the secret word?" + print(f"\n\nRunning: {message}") + result3 = await Runner.run(starting_agent=agent, input=message) + + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" \ No newline at end of file diff --git a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py new file mode 100644 index 00000000..feab273a --- /dev/null +++ b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from agents import Agent, Runner, trace +from agents.mcp import MCPServer +from temporalio import workflow +from temporalio.contrib import openai_agents + + +@workflow.defn +class StreamableHttpWorkflow: + @workflow.run + async def run(self) -> str: + with trace(workflow_name="MCP Streamable HTTP Example"): + server: MCPServer = openai_agents.workflow.stateless_mcp_server( + "StreamableHttpServer" + ) + agent = Agent( + name="Assistant", + instructions="Use the tools to answer the questions.", + mcp_servers=[server], + ) + + # Use the `add` tool to add two numbers + message = "Add these numbers: 7 and 22." + print(f"Running: {message}") + result1 = await Runner.run(starting_agent=agent, input=message) + + # Run the `get_weather` tool + message = "What's the weather in Tokyo?" + print(f"\n\nRunning: {message}") + result2 = await Runner.run(starting_agent=agent, input=message) + + # Run the `get_secret_word` tool + message = "What's the secret word?" + print(f"\n\nRunning: {message}") + result3 = await Runner.run(starting_agent=agent, input=message) + + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 734a9ce3..ecebe540 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,7 +56,7 @@ open-telemetry = [ ] openai-agents = [ "openai-agents[litellm] == 0.3.0", - "temporalio[openai-agents]", + "temporalio[openai-agents] >= 1.18.0", ] pydantic-converter = ["pydantic>=2.10.6,<3"] sentry = ["sentry-sdk>=2.13.0"] diff --git a/uv.lock b/uv.lock index 8174ed8f..0802ad84 100644 --- a/uv.lock +++ b/uv.lock @@ -20,7 +20,7 @@ wheels = [ 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-3318,7 +3319,7 @@ wheels = [ [[package]] name = "zope-event" version = "5.1" -source = { registry = "https://pypi.org/simple" } +source = { registry = "https://pypi.org/simple/" } dependencies = [ { name = "setuptools" }, ] @@ -3330,7 +3331,7 @@ wheels = [ [[package]] name = "zope-interface" version = "7.2" -source = { registry = "https://pypi.org/simple" } +source = { registry = "https://pypi.org/simple/" } dependencies = [ { name = "setuptools" }, ] From 607bac86be790d29158b49d27ede08f1700a8e9b Mon Sep 17 00:00:00 2001 From: Tim Conley Date: Fri, 19 Sep 2025 16:49:55 -0700 Subject: [PATCH 10/19] Update openai breaking change --- .../reasoning_content/activities/reasoning_activities.py | 1 + 1 file changed, 1 insertion(+) diff --git a/openai_agents/reasoning_content/activities/reasoning_activities.py b/openai_agents/reasoning_content/activities/reasoning_activities.py index b111a742..1f7ef9ef 100644 --- a/openai_agents/reasoning_content/activities/reasoning_activities.py +++ b/openai_agents/reasoning_content/activities/reasoning_activities.py @@ -31,6 +31,7 @@ async def get_reasoning_response( tracing=ModelTracing.DISABLED, previous_response_id=None, prompt=None, + conversation_id=None, ) # Extract reasoning content and regular content from the response From bd2c4bf5987d1561ebc1f3f425a34492cdd23602 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Fri, 19 Sep 2025 20:40:10 -0700 Subject: [PATCH 11/19] cleanup + formatting --- openai_agents/mcp/README.md | 26 +++----------- .../mcp/run_file_system_stateful_worker.py | 7 ++-- .../mcp/run_file_system_stateful_workflow.py | 2 +- .../mcp/run_file_system_stateless_worker.py | 5 +-- .../mcp/run_file_system_stateless_workflow.py | 3 +- .../mcp/run_prompt_server_stateless_worker.py | 14 ++++---- .../run_prompt_server_stateless_workflow.py | 6 ++-- openai_agents/mcp/run_sse_stateless_worker.py | 10 +++--- .../mcp/run_sse_stateless_workflow.py | 2 +- .../run_streamable_http_stateless_worker.py | 14 ++++---- .../run_streamable_http_stateless_workflow.py | 6 ++-- openai_agents/mcp/servers/prompt_server.py | 2 +- openai_agents/mcp/servers/tools_server.py | 6 ++-- .../file_system_stateful_workflow.py | 6 ++-- .../file_system_stateless_workflow.py | 6 ++-- .../prompt_server_stateless_workflow.py | 34 ++++++++++--------- .../mcp/workflows/sse_stateless_workflow.py | 12 +++---- .../streamable_http_stateless_workflow.py | 8 ++--- 18 files changed, 77 insertions(+), 92 deletions(-) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index 73217946..8ddfecb0 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -6,33 +6,17 @@ Integration with hosted MCP (Model Context Protocol) servers using OpenAI agents Before running these examples, be sure to review the [prerequisites and background on the integration](../README.md). -## MCP Server Dependencies - -All examples use self-contained MCP servers in the `servers/` directory. The servers require these dependencies: - -```bash -pip install mcp requests -# or -uv add mcp requests -``` - -## Server Implementations - -The `servers/` directory contains self-contained MCP server implementations: - -- **`tools_server.py`** - Multi-transport MCP server with tools for arithmetic, weather, and random words. Supports both `--transport=streamable-http` and `--transport=sse` -- **`prompt_server.py`** - MCP server that provides prompts for generating agent instructions (code review example) ## Running the Examples ### File System MCP - Stateless -First, start the worker (supports all MCP workflows): +First, start the worker: ```bash uv run openai_agents/mcp/run_file_system_stateless_worker.py ``` -Connect to a hosted MCP server for file system operations: +Run the workflow: ```bash uv run openai_agents/mcp/run_file_system_stateless_workflow.py ``` @@ -41,19 +25,19 @@ This sample assumes that the worker and `run_file_system_workflow.py` are on the ### File System MCP - Stateful -First, start the worker (supports all MCP workflows): +First, start the worker: ```bash uv run openai_agents/mcp/run_file_system_stateful_worker.py ``` -Connect to a hosted MCP server for file system operations: +Run the workflow: ```bash uv run openai_agents/mcp/run_file_system_stateful_workflow.py ``` ### Streamable HTTP MCP - Stateless -First, start the MCP server: +First, start the worker: ```bash uv run openai_agents/mcp/servers/tools_server.py --transport=streamable-http ``` diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py index 2d3b2d82..e6a41fef 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -1,6 +1,7 @@ from __future__ import annotations import asyncio +import logging import os from datetime import timedelta @@ -11,16 +12,13 @@ OpenAIAgentsPlugin, StatefulMCPServerProvider, ) -import logging from temporalio.worker import Worker from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow async def main(): - - logging.basicConfig(level=logging.DEBUG) - + logging.basicConfig(level=logging.INFO) current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") @@ -57,7 +55,6 @@ async def main(): # No custom activities needed for these workflows ], ) - logging.debug("STARTED WORKER") await worker.run() diff --git a/openai_agents/mcp/run_file_system_stateful_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py index 88207803..4791fb13 100644 --- a/openai_agents/mcp/run_file_system_stateful_workflow.py +++ b/openai_agents/mcp/run_file_system_stateful_workflow.py @@ -1,11 +1,11 @@ import asyncio +import uuid from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow -import uuid async def main(): # Create client connected to server at the given address diff --git a/openai_agents/mcp/run_file_system_stateless_worker.py b/openai_agents/mcp/run_file_system_stateless_worker.py index 680a371a..035d7fbd 100644 --- a/openai_agents/mcp/run_file_system_stateless_worker.py +++ b/openai_agents/mcp/run_file_system_stateless_worker.py @@ -1,9 +1,9 @@ from __future__ import annotations import asyncio +import logging import os from datetime import timedelta -import uuid from agents.mcp import MCPServerStdio from temporalio.client import Client @@ -20,6 +20,7 @@ async def main(): + logging.basicConfig(level=logging.INFO) current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") @@ -49,7 +50,7 @@ async def main(): worker = Worker( client, - task_queue=f"openai-agents-mcp-stateless-task-queue-{uuid.uuid4()}", + task_queue=f"openai-agents-mcp-stateless-task-queue", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateless_workflow.py b/openai_agents/mcp/run_file_system_stateless_workflow.py index 2a0d2975..6fece419 100644 --- a/openai_agents/mcp/run_file_system_stateless_workflow.py +++ b/openai_agents/mcp/run_file_system_stateless_workflow.py @@ -1,4 +1,5 @@ import asyncio +import uuid from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin @@ -6,7 +7,7 @@ from openai_agents.mcp.workflows.file_system_stateless_workflow import ( FileSystemWorkflow, ) -import uuid + async def main(): # Create client connected to server at the given address diff --git a/openai_agents/mcp/run_prompt_server_stateless_worker.py b/openai_agents/mcp/run_prompt_server_stateless_worker.py index a31ec905..b5907ef5 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_worker.py +++ b/openai_agents/mcp/run_prompt_server_stateless_worker.py @@ -1,7 +1,7 @@ from __future__ import annotations import asyncio -import shutil +import logging from datetime import timedelta from agents.mcp import MCPServerStreamableHttp @@ -11,15 +11,16 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) -import logging from temporalio.worker import Worker -from openai_agents.mcp.workflows.prompt_server_stateless_workflow import PromptServerWorkflow +from openai_agents.mcp.workflows.prompt_server_stateless_workflow import ( + PromptServerWorkflow, +) async def main(): - logging.basicConfig(level=logging.DEBUG) - + logging.basicConfig(level=logging.INFO) + print("Setting up worker...\n") try: @@ -55,7 +56,6 @@ async def main(): # No custom activities needed for these workflows ], ) - logging.debug("STARTED WORKER") await worker.run() except Exception as e: print(f"Worker failed: {e}") @@ -63,4 +63,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/run_prompt_server_stateless_workflow.py b/openai_agents/mcp/run_prompt_server_stateless_workflow.py index de6e71fb..4029f51d 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/run_prompt_server_stateless_workflow.py @@ -4,7 +4,9 @@ from temporalio.client import Client -from openai_agents.mcp.workflows.prompt_server_stateless_workflow import PromptServerWorkflow +from openai_agents.mcp.workflows.prompt_server_stateless_workflow import ( + PromptServerWorkflow, +) async def main(): @@ -22,4 +24,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/run_sse_stateless_worker.py b/openai_agents/mcp/run_sse_stateless_worker.py index 863b22c8..3c48c8ef 100644 --- a/openai_agents/mcp/run_sse_stateless_worker.py +++ b/openai_agents/mcp/run_sse_stateless_worker.py @@ -1,7 +1,7 @@ from __future__ import annotations import asyncio -import shutil +import logging from datetime import timedelta from agents.mcp import MCPServerSse @@ -11,15 +11,14 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) -import logging from temporalio.worker import Worker from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow async def main(): - logging.basicConfig(level=logging.DEBUG) - + logging.basicConfig(level=logging.INFO) + print("Setting up worker...\n") try: @@ -55,7 +54,6 @@ async def main(): # No custom activities needed for these workflows ], ) - logging.debug("STARTED WORKER") await worker.run() except Exception as e: print(f"Worker failed: {e}") @@ -63,4 +61,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/run_sse_stateless_workflow.py b/openai_agents/mcp/run_sse_stateless_workflow.py index 818bf46e..a99522e9 100644 --- a/openai_agents/mcp/run_sse_stateless_workflow.py +++ b/openai_agents/mcp/run_sse_stateless_workflow.py @@ -22,4 +22,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/run_streamable_http_stateless_worker.py b/openai_agents/mcp/run_streamable_http_stateless_worker.py index c43fa360..6e01dea9 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_worker.py +++ b/openai_agents/mcp/run_streamable_http_stateless_worker.py @@ -1,7 +1,7 @@ from __future__ import annotations import asyncio -import shutil +import logging from datetime import timedelta from agents.mcp import MCPServerStreamableHttp @@ -11,15 +11,16 @@ OpenAIAgentsPlugin, StatelessMCPServerProvider, ) -import logging from temporalio.worker import Worker -from openai_agents.mcp.workflows.streamable_http_stateless_workflow import StreamableHttpWorkflow +from openai_agents.mcp.workflows.streamable_http_stateless_workflow import ( + StreamableHttpWorkflow, +) async def main(): - logging.basicConfig(level=logging.DEBUG) - + logging.basicConfig(level=logging.INFO) + print("Setting up worker...\n") try: @@ -55,7 +56,6 @@ async def main(): # No custom activities needed for these workflows ], ) - logging.debug("STARTED WORKER") await worker.run() except Exception as e: print(f"Worker failed: {e}") @@ -63,4 +63,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/run_streamable_http_stateless_workflow.py b/openai_agents/mcp/run_streamable_http_stateless_workflow.py index 95e282ab..c9dbc897 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/run_streamable_http_stateless_workflow.py @@ -4,7 +4,9 @@ from temporalio.client import Client -from openai_agents.mcp.workflows.streamable_http_stateless_workflow import StreamableHttpWorkflow +from openai_agents.mcp.workflows.streamable_http_stateless_workflow import ( + StreamableHttpWorkflow, +) async def main(): @@ -22,4 +24,4 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file + asyncio.run(main()) diff --git a/openai_agents/mcp/servers/prompt_server.py b/openai_agents/mcp/servers/prompt_server.py index fd7f9136..01dcbac3 100644 --- a/openai_agents/mcp/servers/prompt_server.py +++ b/openai_agents/mcp/servers/prompt_server.py @@ -34,4 +34,4 @@ def generate_code_review_instructions( if __name__ == "__main__": - mcp.run(transport="streamable-http") \ No newline at end of file + mcp.run(transport="streamable-http") diff --git a/openai_agents/mcp/servers/tools_server.py b/openai_agents/mcp/servers/tools_server.py index 9466f7b6..a329c7ee 100644 --- a/openai_agents/mcp/servers/tools_server.py +++ b/openai_agents/mcp/servers/tools_server.py @@ -36,9 +36,9 @@ def get_current_weather(city: str) -> str: "--transport", choices=["streamable-http", "sse"], default="streamable-http", - help="Transport type (default: streamable-http)" + help="Transport type (default: streamable-http)", ) args = parser.parse_args() - + print(f"Starting Tools Server with {args.transport} transport...") - mcp.run(transport=args.transport) \ No newline at end of file + mcp.run(transport=args.transport) diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/file_system_stateful_workflow.py index f79412ca..cd8fb407 100644 --- a/openai_agents/mcp/workflows/file_system_stateful_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateful_workflow.py @@ -21,19 +21,19 @@ async def run(self) -> str: # List the files it can read message = "Read the files and list them." - print(f"Running: {message}") + workflow.logger.info(f"Running: {message}") result1 = await Runner.run(starting_agent=agent, input=message) # Ask about books message = "What is my #1 favorite book?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result2 = await Runner.run(starting_agent=agent, input=message) # Ask a question that reads then reasons. message = ( "Look at my favorite songs. Suggest one new song that I might like." ) - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result3 = await Runner.run(starting_agent=agent, input=message) return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" diff --git a/openai_agents/mcp/workflows/file_system_stateless_workflow.py b/openai_agents/mcp/workflows/file_system_stateless_workflow.py index c77c4357..b3528c18 100644 --- a/openai_agents/mcp/workflows/file_system_stateless_workflow.py +++ b/openai_agents/mcp/workflows/file_system_stateless_workflow.py @@ -22,19 +22,19 @@ async def run(self) -> str: # List the files it can read message = "Read the files and list them." - print(f"Running: {message}") + workflow.logger.info(f"Running: {message}") result1 = await Runner.run(starting_agent=agent, input=message) # Ask about books message = "What is my #1 favorite book?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result2 = await Runner.run(starting_agent=agent, input=message) # Ask a question that reads then reasons. message = ( "Look at my favorite songs. Suggest one new song that I might like." ) - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result3 = await Runner.run(starting_agent=agent, input=message) return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" diff --git a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py index c2a29e7f..ee5a8555 100644 --- a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py @@ -16,31 +16,33 @@ async def run(self) -> str: ) # Show available prompts - print("=== AVAILABLE PROMPTS ===") + workflow.logger.info("=== AVAILABLE PROMPTS ===") prompts_result = await server.list_prompts() - print("User can select from these prompts:") + workflow.logger.info("User can select from these prompts:") for i, prompt in enumerate(prompts_result.prompts, 1): - print(f" {i}. {prompt.name} - {prompt.description}") - print() + workflow.logger.info(f" {i}. {prompt.name} - {prompt.description}") + workflow.logger.info("") # Demo code review with user-selected prompt - print("=== CODE REVIEW DEMO ===") + workflow.logger.info("=== CODE REVIEW DEMO ===") # Get instructions from prompt - print("Getting instructions from prompt: generate_code_review_instructions") + workflow.logger.info( + "Getting instructions from prompt: generate_code_review_instructions" + ) try: - prompt_result = await server.get_prompt("generate_code_review_instructions", { - "focus": "security vulnerabilities", - "language": "python" - }) + prompt_result = await server.get_prompt( + "generate_code_review_instructions", + {"focus": "security vulnerabilities", "language": "python"}, + ) content = prompt_result.messages[0].content if hasattr(content, "text"): instructions = content.text else: instructions = str(content) - print("Generated instructions") + workflow.logger.info("Generated instructions") except Exception as e: - print(f"Failed to get instructions: {e}") + workflow.logger.info(f"Failed to get instructions: {e}") instructions = f"You are a helpful assistant. Error: {e}" agent = Agent( @@ -57,9 +59,9 @@ def process_user_input(user_input): """ - print(f"Running: {message[:60]}...") + workflow.logger.info(f"Running: {message[:60]}...") result = await Runner.run(starting_agent=agent, input=message) - print(result.final_output) - print("\n" + "=" * 50 + "\n") + workflow.logger.info(result.final_output) + workflow.logger.info("\n" + "=" * 50 + "\n") - return "Prompt server demo completed successfully" \ No newline at end of file + return "Prompt server demo completed successfully" diff --git a/openai_agents/mcp/workflows/sse_stateless_workflow.py b/openai_agents/mcp/workflows/sse_stateless_workflow.py index 2b9e949d..6b329fbc 100644 --- a/openai_agents/mcp/workflows/sse_stateless_workflow.py +++ b/openai_agents/mcp/workflows/sse_stateless_workflow.py @@ -11,9 +11,7 @@ class SseWorkflow: @workflow.run async def run(self) -> str: with trace(workflow_name="MCP SSE Example"): - server: MCPServer = openai_agents.workflow.stateless_mcp_server( - "SseServer" - ) + server: MCPServer = openai_agents.workflow.stateless_mcp_server("SseServer") agent = Agent( name="Assistant", instructions="Use the tools to answer the questions.", @@ -22,17 +20,17 @@ async def run(self) -> str: # Use the `add` tool to add two numbers message = "Add these numbers: 7 and 22." - print(f"Running: {message}") + workflow.logger.info(f"Running: {message}") result1 = await Runner.run(starting_agent=agent, input=message) # Run the `get_weather` tool message = "What's the weather in Tokyo?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result2 = await Runner.run(starting_agent=agent, input=message) # Run the `get_secret_word` tool message = "What's the secret word?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result3 = await Runner.run(starting_agent=agent, input=message) - return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" \ No newline at end of file + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" diff --git a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py index feab273a..52d3c81a 100644 --- a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py @@ -22,17 +22,17 @@ async def run(self) -> str: # Use the `add` tool to add two numbers message = "Add these numbers: 7 and 22." - print(f"Running: {message}") + workflow.logger.info(f"Running: {message}") result1 = await Runner.run(starting_agent=agent, input=message) # Run the `get_weather` tool message = "What's the weather in Tokyo?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result2 = await Runner.run(starting_agent=agent, input=message) # Run the `get_secret_word` tool message = "What's the secret word?" - print(f"\n\nRunning: {message}") + workflow.logger.info(f"Running: {message}") result3 = await Runner.run(starting_agent=agent, input=message) - return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" \ No newline at end of file + return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" From 6b5a4a6af5b29aeb3f0c24a46d93488b53864b07 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Fri, 19 Sep 2025 21:08:56 -0700 Subject: [PATCH 12/19] cleanup --- openai_agents/README.md | 2 +- openai_agents/mcp/README.md | 2 +- openai_agents/mcp/run_file_system_stateful_worker.py | 2 +- openai_agents/mcp/run_file_system_stateful_workflow.py | 5 ++--- openai_agents/mcp/run_file_system_stateless_worker.py | 3 +-- openai_agents/mcp/run_file_system_stateless_workflow.py | 5 ++--- openai_agents/mcp/run_prompt_server_stateless_worker.py | 2 +- openai_agents/mcp/run_prompt_server_stateless_workflow.py | 8 ++++++-- openai_agents/mcp/run_sse_stateless_worker.py | 2 +- openai_agents/mcp/run_sse_stateless_workflow.py | 8 ++++++-- openai_agents/mcp/run_streamable_http_stateless_worker.py | 2 +- .../mcp/run_streamable_http_stateless_workflow.py | 8 ++++++-- .../mcp/workflows/prompt_server_stateless_workflow.py | 2 ++ openai_agents/mcp/workflows/sse_stateless_workflow.py | 2 ++ .../mcp/workflows/streamable_http_stateless_workflow.py | 2 ++ pyproject.toml | 1 + uv.lock | 2 ++ 17 files changed, 38 insertions(+), 20 deletions(-) diff --git a/openai_agents/README.md b/openai_agents/README.md index 8a51246d..9404278f 100644 --- a/openai_agents/README.md +++ b/openai_agents/README.md @@ -30,9 +30,9 @@ Each directory contains a complete example with its own README for detailed inst - **[Tools](./tools/README.md)** - Demonstrates available tools such as file search, image generation, and others. - **[Handoffs](./handoffs/README.md)** - Agents collaborating via handoffs. - **[Hosted MCP](./hosted_mcp/README.md)** - Using the MCP client functionality of the OpenAI Responses API. +- **[MCP](./mcp/README.md)** - Local MCP servers (filesystem/stdio, streamable HTTP, SSE, prompt server) integrated with Temporal workflows. - **[Model Providers](./model_providers/README.md)** - Using custom LLM providers (e.g., Anthropic via LiteLLM). - **[Research Bot](./research_bot/README.md)** - Multi-agent research system with specialized roles: a planner agent, search agent, and writer agent working together to conduct comprehensive research. - **[Customer Service](./customer_service/README.md)** - Interactive customer service agent with escalation capabilities, demonstrating conversational workflows. - **[Reasoning Content](./reasoning_content/README.md)** - Example of how to retrieve the thought process of reasoning models. - **[Financial Research Agent](./financial_research_agent/README.md)** - Multi-agent financial research system with planner, search, analyst, writer, and verifier agents collaborating. - diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index 8ddfecb0..223f56b8 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -1,6 +1,6 @@ # MCP Examples -Integration with hosted MCP (Model Context Protocol) servers using OpenAI agents in Temporal workflows. +Integration with MCP (Model Context Protocol) servers using OpenAI agents in Temporal workflows. *Adapted from [OpenAI Agents SDK MCP examples](https://github.com/openai/openai-agents-python/tree/main/examples/mcp)* diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_file_system_stateful_worker.py index e6a41fef..b3f95b22 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_file_system_stateful_worker.py @@ -47,7 +47,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-stateful-task-queue", + task_queue="openai-agents-mcp-filesystem-stateful-task-queue", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateful_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py index 4791fb13..2e584a91 100644 --- a/openai_agents/mcp/run_file_system_stateful_workflow.py +++ b/openai_agents/mcp/run_file_system_stateful_workflow.py @@ -1,5 +1,4 @@ import asyncio -import uuid from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin @@ -19,8 +18,8 @@ async def main(): # Execute a workflow result = await client.execute_workflow( FileSystemWorkflow.run, - id=f"file-system-workflow-{uuid.uuid4()}", - task_queue="openai-agents-mcp-stateful-task-queue", + id="file-system-stateful-workflow", + task_queue="openai-agents-mcp-filesystem-stateful-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_file_system_stateless_worker.py b/openai_agents/mcp/run_file_system_stateless_worker.py index 035d7fbd..61eb2940 100644 --- a/openai_agents/mcp/run_file_system_stateless_worker.py +++ b/openai_agents/mcp/run_file_system_stateless_worker.py @@ -24,7 +24,6 @@ async def main(): current_dir = os.path.dirname(os.path.abspath(__file__)) samples_dir = os.path.join(current_dir, "sample_files") - # TODO: StatelessMCPServer will switch to StatelessMCPServerProvider instead file_system_server = StatelessMCPServerProvider( lambda: MCPServerStdio( name="FileSystemServer", @@ -50,7 +49,7 @@ async def main(): worker = Worker( client, - task_queue=f"openai-agents-mcp-stateless-task-queue", + task_queue=f"openai-agents-mcp-filesystem-stateless-task-queue", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateless_workflow.py b/openai_agents/mcp/run_file_system_stateless_workflow.py index 6fece419..0dbcadd7 100644 --- a/openai_agents/mcp/run_file_system_stateless_workflow.py +++ b/openai_agents/mcp/run_file_system_stateless_workflow.py @@ -1,5 +1,4 @@ import asyncio -import uuid from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin @@ -21,8 +20,8 @@ async def main(): # Execute a workflow result = await client.execute_workflow( FileSystemWorkflow.run, - id=f"file-system-workflow-{uuid.uuid4()}", - task_queue="openai-agents-mcp-stateless-task-queue", + id="file-system-stateless-workflow", + task_queue="openai-agents-mcp-filesystem-stateless-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_prompt_server_stateless_worker.py b/openai_agents/mcp/run_prompt_server_stateless_worker.py index b5907ef5..323e54a3 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_worker.py +++ b/openai_agents/mcp/run_prompt_server_stateless_worker.py @@ -48,7 +48,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-prompt-stateless-task-queue", workflows=[ PromptServerWorkflow, ], diff --git a/openai_agents/mcp/run_prompt_server_stateless_workflow.py b/openai_agents/mcp/run_prompt_server_stateless_workflow.py index 4029f51d..165a5ebe 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/run_prompt_server_stateless_workflow.py @@ -3,6 +3,7 @@ import asyncio from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin from openai_agents.mcp.workflows.prompt_server_stateless_workflow import ( PromptServerWorkflow, @@ -11,13 +12,16 @@ async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + client = await Client.connect( + "localhost:7233", + plugins=[OpenAIAgentsPlugin()], + ) # Execute a workflow result = await client.execute_workflow( PromptServerWorkflow.run, id="prompt-server-workflow", - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-prompt-stateless-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_sse_stateless_worker.py b/openai_agents/mcp/run_sse_stateless_worker.py index 3c48c8ef..3ab77235 100644 --- a/openai_agents/mcp/run_sse_stateless_worker.py +++ b/openai_agents/mcp/run_sse_stateless_worker.py @@ -46,7 +46,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-sse-stateless-task-queue", workflows=[ SseWorkflow, ], diff --git a/openai_agents/mcp/run_sse_stateless_workflow.py b/openai_agents/mcp/run_sse_stateless_workflow.py index a99522e9..4b2fe407 100644 --- a/openai_agents/mcp/run_sse_stateless_workflow.py +++ b/openai_agents/mcp/run_sse_stateless_workflow.py @@ -3,19 +3,23 @@ import asyncio from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + client = await Client.connect( + "localhost:7233", + plugins=[OpenAIAgentsPlugin()], + ) # Execute a workflow result = await client.execute_workflow( SseWorkflow.run, id="sse-stateless-workflow", - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-sse-stateless-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_streamable_http_stateless_worker.py b/openai_agents/mcp/run_streamable_http_stateless_worker.py index 6e01dea9..1710a4c0 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_worker.py +++ b/openai_agents/mcp/run_streamable_http_stateless_worker.py @@ -48,7 +48,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-streamable-http-stateless-task-queue", workflows=[ StreamableHttpWorkflow, ], diff --git a/openai_agents/mcp/run_streamable_http_stateless_workflow.py b/openai_agents/mcp/run_streamable_http_stateless_workflow.py index c9dbc897..d51788c4 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/run_streamable_http_stateless_workflow.py @@ -3,6 +3,7 @@ import asyncio from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin from openai_agents.mcp.workflows.streamable_http_stateless_workflow import ( StreamableHttpWorkflow, @@ -11,13 +12,16 @@ async def main(): # Create client connected to server at the given address - client = await Client.connect("localhost:7233") + client = await Client.connect( + "localhost:7233", + plugins=[OpenAIAgentsPlugin()], + ) # Execute a workflow result = await client.execute_workflow( StreamableHttpWorkflow.run, id="streamable-http-stateless-workflow", - task_queue="openai-agents-mcp-stateless-task-queue", + task_queue="openai-agents-mcp-streamable-http-stateless-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py index ee5a8555..8214aff4 100644 --- a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py @@ -2,6 +2,7 @@ from agents import Agent, Runner, trace from agents.mcp import MCPServer +from agents.model_settings import ModelSettings from temporalio import workflow from temporalio.contrib import openai_agents @@ -48,6 +49,7 @@ async def run(self) -> str: agent = Agent( name="Code Reviewer Agent", instructions=instructions, + model_settings=ModelSettings(tool_choice="auto"), ) message = """Please review this code: diff --git a/openai_agents/mcp/workflows/sse_stateless_workflow.py b/openai_agents/mcp/workflows/sse_stateless_workflow.py index 6b329fbc..d4872388 100644 --- a/openai_agents/mcp/workflows/sse_stateless_workflow.py +++ b/openai_agents/mcp/workflows/sse_stateless_workflow.py @@ -2,6 +2,7 @@ from agents import Agent, Runner, trace from agents.mcp import MCPServer +from agents.model_settings import ModelSettings from temporalio import workflow from temporalio.contrib import openai_agents @@ -16,6 +17,7 @@ async def run(self) -> str: name="Assistant", instructions="Use the tools to answer the questions.", mcp_servers=[server], + model_settings=ModelSettings(tool_choice="required"), ) # Use the `add` tool to add two numbers diff --git a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py index 52d3c81a..442f1cc5 100644 --- a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py @@ -2,6 +2,7 @@ from agents import Agent, Runner, trace from agents.mcp import MCPServer +from agents.model_settings import ModelSettings from temporalio import workflow from temporalio.contrib import openai_agents @@ -18,6 +19,7 @@ async def run(self) -> str: name="Assistant", instructions="Use the tools to answer the questions.", mcp_servers=[server], + model_settings=ModelSettings(tool_choice="required"), ) # Use the `add` tool to add two numbers diff --git a/pyproject.toml b/pyproject.toml index e21ffa7c..c1d187d1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -57,6 +57,7 @@ open-telemetry = [ openai-agents = [ "openai-agents[litellm] == 0.3.0", "temporalio[openai-agents] >= 1.18.0", + "requests>=2.32.0,<3", ] pydantic-converter = ["pydantic>=2.10.6,<3"] sentry = ["sentry-sdk>=2.13.0"] diff --git a/uv.lock b/uv.lock index 7df1e6ed..09f94035 100644 --- a/uv.lock +++ b/uv.lock @@ -2797,6 +2797,7 @@ open-telemetry = [ ] openai-agents = [ { name = "openai-agents", extra = ["litellm"] }, + { name = "requests" }, { name = "temporalio", extra = ["openai-agents"] }, ] pydantic-converter = [ @@ -2859,6 +2860,7 @@ open-telemetry = [ ] openai-agents = [ { name = "openai-agents", extras = ["litellm"], specifier = "==0.3.0" }, + { name = "requests", specifier = ">=2.32.0,<3" }, { name = "temporalio", extras = ["openai-agents"], specifier = ">=1.18.0" }, ] pydantic-converter = [{ name = "pydantic", specifier = ">=2.10.6,<3" }] From 66fcab59755941f3b54042856248238619011556 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Fri, 19 Sep 2025 21:26:40 -0700 Subject: [PATCH 13/19] WIP sequential thinking --- openai_agents/mcp/README.md | 12 +++++--- .../mcp/run_file_system_stateful_workflow.py | 29 ------------------ ...run_sequentialthinking_stateful_worker.py} | 24 +++++++-------- ...un_sequentialthinking_stateful_workflow.py | 29 ++++++++++++++++++ ...> sequentialthinking_stateful_workflow.py} | 30 +++++++++++-------- 5 files changed, 65 insertions(+), 59 deletions(-) delete mode 100644 openai_agents/mcp/run_file_system_stateful_workflow.py rename openai_agents/mcp/{run_file_system_stateful_worker.py => run_sequentialthinking_stateful_worker.py} (57%) create mode 100644 openai_agents/mcp/run_sequentialthinking_stateful_workflow.py rename openai_agents/mcp/workflows/{file_system_stateful_workflow.py => sequentialthinking_stateful_workflow.py} (50%) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index 223f56b8..c5c08f0c 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -23,16 +23,20 @@ uv run openai_agents/mcp/run_file_system_stateless_workflow.py This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. -### File System MCP - Stateful +### Sequential Thinking MCP - Stateful + +This example demonstrates a stateful MCP server that maintains a sequential plan across multiple agent runs within a single workflow execution. + +Note: This example is not a direct port from the OpenAI SDK samples; it is added here because it better illustrates stateful behavior than the filesystem server. First, start the worker: ```bash -uv run openai_agents/mcp/run_file_system_stateful_worker.py +uv run openai_agents/mcp/run_sequentialthinking_stateful_worker.py ``` Run the workflow: ```bash -uv run openai_agents/mcp/run_file_system_stateful_workflow.py +uv run openai_agents/mcp/run_sequentialthinking_stateful_workflow.py ``` ### Streamable HTTP MCP - Stateless @@ -84,4 +88,4 @@ uv run openai_agents/mcp/run_prompt_server_stateless_worker.py Finally, run the workflow: ```bash uv run openai_agents/mcp/run_prompt_server_stateless_workflow.py -``` \ No newline at end of file +``` diff --git a/openai_agents/mcp/run_file_system_stateful_workflow.py b/openai_agents/mcp/run_file_system_stateful_workflow.py deleted file mode 100644 index 2e584a91..00000000 --- a/openai_agents/mcp/run_file_system_stateful_workflow.py +++ /dev/null @@ -1,29 +0,0 @@ -import asyncio - -from temporalio.client import Client -from temporalio.contrib.openai_agents import OpenAIAgentsPlugin - -from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow - - -async def main(): - # Create client connected to server at the given address - client = await Client.connect( - "localhost:7233", - plugins=[ - OpenAIAgentsPlugin(), - ], - ) - - # Execute a workflow - result = await client.execute_workflow( - FileSystemWorkflow.run, - id="file-system-stateful-workflow", - task_queue="openai-agents-mcp-filesystem-stateful-task-queue", - ) - - print(f"Result: {result}") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/openai_agents/mcp/run_file_system_stateful_worker.py b/openai_agents/mcp/run_sequentialthinking_stateful_worker.py similarity index 57% rename from openai_agents/mcp/run_file_system_stateful_worker.py rename to openai_agents/mcp/run_sequentialthinking_stateful_worker.py index b3f95b22..960e7896 100644 --- a/openai_agents/mcp/run_file_system_stateful_worker.py +++ b/openai_agents/mcp/run_sequentialthinking_stateful_worker.py @@ -2,7 +2,6 @@ import asyncio import logging -import os from datetime import timedelta from agents.mcp import MCPServerStdio @@ -14,25 +13,24 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.file_system_stateful_workflow import FileSystemWorkflow +from openai_agents.mcp.workflows.sequentialthinking_stateful_workflow import ( + SequentialThinkingWorkflow, +) async def main(): logging.basicConfig(level=logging.INFO) - current_dir = os.path.dirname(os.path.abspath(__file__)) - samples_dir = os.path.join(current_dir, "sample_files") - file_system_server_provider = StatefulMCPServerProvider( + sequential_server_provider = StatefulMCPServerProvider( lambda: MCPServerStdio( - name="FileSystemServer", + name="SequentialThinkingServer", params={ "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-filesystem", samples_dir], + "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"], }, ) ) - # Create client connected to server at the given address client = await Client.connect( "localhost:7233", plugins=[ @@ -40,20 +38,18 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[file_system_server_provider], + mcp_servers=[sequential_server_provider], ), ], ) worker = Worker( client, - task_queue="openai-agents-mcp-filesystem-stateful-task-queue", + task_queue="openai-agents-mcp-sequential-stateful-task-queue", workflows=[ - FileSystemWorkflow, - ], - activities=[ - # No custom activities needed for these workflows + SequentialThinkingWorkflow, ], + activities=[], ) await worker.run() diff --git a/openai_agents/mcp/run_sequentialthinking_stateful_workflow.py b/openai_agents/mcp/run_sequentialthinking_stateful_workflow.py new file mode 100644 index 00000000..d995ee85 --- /dev/null +++ b/openai_agents/mcp/run_sequentialthinking_stateful_workflow.py @@ -0,0 +1,29 @@ +from __future__ import annotations + +import asyncio + +from temporalio.client import Client +from temporalio.contrib.openai_agents import OpenAIAgentsPlugin + +from openai_agents.mcp.workflows.sequentialthinking_stateful_workflow import ( + SequentialThinkingWorkflow, +) + + +async def main(): + client = await Client.connect( + "localhost:7233", + plugins=[OpenAIAgentsPlugin()], + ) + + result = await client.execute_workflow( + SequentialThinkingWorkflow.run, + id="sequentialthinking-stateful-workflow", + task_queue="openai-agents-mcp-sequential-stateful-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_agents/mcp/workflows/file_system_stateful_workflow.py b/openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py similarity index 50% rename from openai_agents/mcp/workflows/file_system_stateful_workflow.py rename to openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py index cd8fb407..1c2f0188 100644 --- a/openai_agents/mcp/workflows/file_system_stateful_workflow.py +++ b/openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py @@ -1,38 +1,44 @@ from __future__ import annotations from agents import Agent, Runner, trace +from agents.model_settings import ModelSettings from temporalio import workflow from temporalio.contrib import openai_agents as temporal_openai_agents @workflow.defn -class FileSystemWorkflow: +class SequentialThinkingWorkflow: @workflow.run async def run(self) -> str: async with temporal_openai_agents.workflow.stateful_mcp_server( - "FileSystemServer", + "SequentialThinkingServer", ) as server: - with trace(workflow_name="MCP File System Example"): + with trace(workflow_name="MCP Sequential Thinking Example"): agent = Agent( name="Assistant", - instructions="Use the tools to read the filesystem and answer questions based on those files.", + instructions=( + "You manage a sequential plan using available MCP tools." + " Create, update, and summarize a plan by invoking tools where appropriate." + ), mcp_servers=[server], + model_settings=ModelSettings(tool_choice="required"), ) - # List the files it can read - message = "Read the files and list them." + # Initialize a plan + message = ( + "Initialize a 3-step plan for: 'Prepare a short blog post about Temporal workflows'." + " Then show the steps." + ) workflow.logger.info(f"Running: {message}") result1 = await Runner.run(starting_agent=agent, input=message) - # Ask about books - message = "What is my #1 favorite book?" + # Mark first step complete and show remaining + message = "Mark the first step as complete. Then list remaining steps." workflow.logger.info(f"Running: {message}") result2 = await Runner.run(starting_agent=agent, input=message) - # Ask a question that reads then reasons. - message = ( - "Look at my favorite songs. Suggest one new song that I might like." - ) + # Add a new step and summarize + message = "Add one more step: 'Publish on the company wiki'. Then provide a brief summary of the full plan." workflow.logger.info(f"Running: {message}") result3 = await Runner.run(starting_agent=agent, input=message) From 2a011ba9eb76a5c0057e197024664d50239a3615 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Sat, 20 Sep 2025 09:32:44 -0700 Subject: [PATCH 14/19] memory stateful mcp --- openai_agents/mcp/README.md | 30 ++--- ...un_memory_research_scratchpad_workflow.py} | 12 +- ...orker.py => run_memory_stateful_worker.py} | 17 +-- .../memory_research_scratchpad_workflow.py | 122 ++++++++++++++++++ .../sequentialthinking_stateful_workflow.py | 45 ------- 5 files changed, 152 insertions(+), 74 deletions(-) rename openai_agents/mcp/{run_sequentialthinking_stateful_workflow.py => run_memory_research_scratchpad_workflow.py} (55%) rename openai_agents/mcp/{run_sequentialthinking_stateful_worker.py => run_memory_stateful_worker.py} (66%) create mode 100644 openai_agents/mcp/workflows/memory_research_scratchpad_workflow.py delete mode 100644 openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index c5c08f0c..d9efefdc 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -23,21 +23,6 @@ uv run openai_agents/mcp/run_file_system_stateless_workflow.py This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. -### Sequential Thinking MCP - Stateful - -This example demonstrates a stateful MCP server that maintains a sequential plan across multiple agent runs within a single workflow execution. - -Note: This example is not a direct port from the OpenAI SDK samples; it is added here because it better illustrates stateful behavior than the filesystem server. - -First, start the worker: -```bash -uv run openai_agents/mcp/run_sequentialthinking_stateful_worker.py -``` - -Run the workflow: -```bash -uv run openai_agents/mcp/run_sequentialthinking_stateful_workflow.py -``` ### Streamable HTTP MCP - Stateless @@ -89,3 +74,18 @@ Finally, run the workflow: ```bash uv run openai_agents/mcp/run_prompt_server_stateless_workflow.py ``` + + +### Memory MCP - Stateful (Research Scratchpad) + +Demonstrates durable note-taking with the Memory MCP server: write seed notes, query by tags, synthesize a brief with citations, then update and delete notes. + +Start the worker: +```bash +uv run openai_agents/mcp/run_memory_stateful_worker.py +``` + +Run the research scratchpad workflow: +```bash +uv run openai_agents/mcp/run_memory_research_scratchpad_workflow.py +``` diff --git a/openai_agents/mcp/run_sequentialthinking_stateful_workflow.py b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py similarity index 55% rename from openai_agents/mcp/run_sequentialthinking_stateful_workflow.py rename to openai_agents/mcp/run_memory_research_scratchpad_workflow.py index d995ee85..63daa980 100644 --- a/openai_agents/mcp/run_sequentialthinking_stateful_workflow.py +++ b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py @@ -5,8 +5,8 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.sequentialthinking_stateful_workflow import ( - SequentialThinkingWorkflow, +from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import ( + MemoryResearchScratchpadWorkflow, ) @@ -17,12 +17,12 @@ async def main(): ) result = await client.execute_workflow( - SequentialThinkingWorkflow.run, - id="sequentialthinking-stateful-workflow", - task_queue="openai-agents-mcp-sequential-stateful-task-queue", + MemoryResearchScratchpadWorkflow.run, + id="memory-research-scratchpad-workflow", + task_queue="openai-agents-mcp-memory-stateful-task-queue", ) - print(f"Result: {result}") + print(f"Result:\n{result}") if __name__ == "__main__": diff --git a/openai_agents/mcp/run_sequentialthinking_stateful_worker.py b/openai_agents/mcp/run_memory_stateful_worker.py similarity index 66% rename from openai_agents/mcp/run_sequentialthinking_stateful_worker.py rename to openai_agents/mcp/run_memory_stateful_worker.py index 960e7896..f8295e33 100644 --- a/openai_agents/mcp/run_sequentialthinking_stateful_worker.py +++ b/openai_agents/mcp/run_memory_stateful_worker.py @@ -13,24 +13,25 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.sequentialthinking_stateful_workflow import ( - SequentialThinkingWorkflow, +from openai_agents.mcp.workflows.memory_research_scratchpad_workflow import ( + MemoryResearchScratchpadWorkflow, ) async def main(): logging.basicConfig(level=logging.INFO) - sequential_server_provider = StatefulMCPServerProvider( + memory_server_provider = StatefulMCPServerProvider( lambda: MCPServerStdio( - name="SequentialThinkingServer", + name="MemoryServer", params={ "command": "npx", - "args": ["-y", "@modelcontextprotocol/server-sequential-thinking"], + "args": ["-y", "@modelcontextprotocol/server-memory"], }, ) ) + # Create client connected to server at the given address client = await Client.connect( "localhost:7233", plugins=[ @@ -38,16 +39,16 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[sequential_server_provider], + mcp_servers=[memory_server_provider], ), ], ) worker = Worker( client, - task_queue="openai-agents-mcp-sequential-stateful-task-queue", + task_queue="openai-agents-mcp-memory-stateful-task-queue", workflows=[ - SequentialThinkingWorkflow, + MemoryResearchScratchpadWorkflow, ], activities=[], ) diff --git a/openai_agents/mcp/workflows/memory_research_scratchpad_workflow.py b/openai_agents/mcp/workflows/memory_research_scratchpad_workflow.py new file mode 100644 index 00000000..1812a452 --- /dev/null +++ b/openai_agents/mcp/workflows/memory_research_scratchpad_workflow.py @@ -0,0 +1,122 @@ +from __future__ import annotations + +from agents import Agent, Runner, trace +from agents.model_settings import ModelSettings +from temporalio import workflow +from temporalio.contrib import openai_agents as temporal_openai_agents + +SEED_NOTES = [ + ( + "scratchpad/ai-sum/001", + "Study A (2024-04)", + "Summaries reduced triage time by 22% (n=60).", + ["ai-summarization", "email", "kpi"], + ), + ( + "scratchpad/ai-sum/002", + "User preference", + "Users prefer action-first summaries with 5–8 bullets max.", + ["ai-summarization", "email", "ux"], + ), + ( + "scratchpad/ai-sum/003", + "Risk: misleading summaries", + "Hallucination risk; mitigation: confidence thresholds + easy fallback to original email.", + ["ai-summarization", "email", "risk"], + ), + ( + "scratchpad/ai-sum/004", + "Latency consideration", + "Cold-start latency noticeable on first open; can cache or precompute in background.", + ["ai-summarization", "email", "perf"], + ), + ( + "scratchpad/ai-sum/005", + "Adoption insight", + "Admin controls improve enterprise adoption; opt-in increases trust and perceived control.", + ["ai-summarization", "email", "adoption"], + ), +] + + +@workflow.defn +class MemoryResearchScratchpadWorkflow: + @workflow.run + async def run(self) -> str: + async with temporal_openai_agents.workflow.stateful_mcp_server( + "MemoryServer", + ) as server: + with trace(workflow_name="MCP Memory Scratchpad Example"): + agent = Agent( + name="Research Scratchpad Agent", + instructions=( + "Use the Memory MCP tools to persist, query, update, and delete notes." + " Keep IDs short and consistent. Synthesis must rely only on recalled notes and include simple" + " citations of the form '(Note: id)'. Keep the brief to 5 bullets." + ), + mcp_servers=[server], + model_settings=ModelSettings(tool_choice="required"), + ) + + # Step 1: Write seed notes to memory + write_prompt_lines = [ + "Store the following notes in memory. Use the given id and tags for each entry.", + "After storing, confirm each (id, tags) that was written.", + "", + ] + for note_id, title, content, tags in SEED_NOTES: + # Store tags as separate observation lines so search can reliably match them + tag_obs = ", ".join([f"tag: {t}" for t in tags]) + write_prompt_lines.append( + f"- id: {note_id}; title: {title}; content: {content}; observations: [{tag_obs}]" + ) + write_prompt = "\n".join(write_prompt_lines) + workflow.logger.info("Writing seed notes to memory") + r1 = await Runner.run(starting_agent=agent, input=write_prompt) + + # Step 2: Query by tags + query_prompt = ( + "Search memory for notes that contain BOTH observations 'tag: ai-summarization' and 'tag: email'. " + "If the search returns empty, list entities with the name prefix 'scratchpad/ai-sum/' and filter to those that have both tag observations. " + "For the resulting ids, call retrieve_entities to fetch their observations, then return a normalized list of (id, title, 1–2 key points) based on the retrieved entities." + ) + workflow.logger.info("Querying notes by tags") + r2 = await Runner.run( + starting_agent=agent, + input=query_prompt, + previous_response_id=r1.last_response_id, + ) + + # Step 3: Synthesis with citations + synth_prompt = ( + "Using only the recalled notes, produce a 5-bullet brief. " + "Include one citation per bullet in the form '(Note: id)'. Do not introduce new facts." + ) + workflow.logger.info("Synthesizing brief from recalled notes") + r3 = await Runner.run( + starting_agent=agent, + input=synth_prompt, + previous_response_id=r2.last_response_id, + ) + + # Step 4: Update and re-query (optional demonstration) + update_prompt = ( + "Update the note 'scratchpad/ai-sum/003' to include more precise mitigation:" + " 'threshold=0.7; fallback to full email on low confidence'. Then delete the note" + " 'scratchpad/ai-sum/005'. Finally, list only the remaining 'risk' notes with (id, updated content)." + ) + workflow.logger.info( + "Updating one note and deleting another, then re-listing risk notes" + ) + r4 = await Runner.run( + starting_agent=agent, + input=update_prompt, + previous_response_id=r3.last_response_id, + ) + + return ( + f"WRITE CONFIRMATIONS:\n{r1.final_output}\n\n" + f"QUERY RESULTS:\n{r2.final_output}\n\n" + f"SYNTHESIS:\n{r3.final_output}\n\n" + f"UPDATES:\n{r4.final_output}" + ) diff --git a/openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py b/openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py deleted file mode 100644 index 1c2f0188..00000000 --- a/openai_agents/mcp/workflows/sequentialthinking_stateful_workflow.py +++ /dev/null @@ -1,45 +0,0 @@ -from __future__ import annotations - -from agents import Agent, Runner, trace -from agents.model_settings import ModelSettings -from temporalio import workflow -from temporalio.contrib import openai_agents as temporal_openai_agents - - -@workflow.defn -class SequentialThinkingWorkflow: - @workflow.run - async def run(self) -> str: - async with temporal_openai_agents.workflow.stateful_mcp_server( - "SequentialThinkingServer", - ) as server: - with trace(workflow_name="MCP Sequential Thinking Example"): - agent = Agent( - name="Assistant", - instructions=( - "You manage a sequential plan using available MCP tools." - " Create, update, and summarize a plan by invoking tools where appropriate." - ), - mcp_servers=[server], - model_settings=ModelSettings(tool_choice="required"), - ) - - # Initialize a plan - message = ( - "Initialize a 3-step plan for: 'Prepare a short blog post about Temporal workflows'." - " Then show the steps." - ) - workflow.logger.info(f"Running: {message}") - result1 = await Runner.run(starting_agent=agent, input=message) - - # Mark first step complete and show remaining - message = "Mark the first step as complete. Then list remaining steps." - workflow.logger.info(f"Running: {message}") - result2 = await Runner.run(starting_agent=agent, input=message) - - # Add a new step and summarize - message = "Add one more step: 'Publish on the company wiki'. Then provide a brief summary of the full plan." - workflow.logger.info(f"Running: {message}") - result3 = await Runner.run(starting_agent=agent, input=message) - - return f"{result1.final_output}\n\n{result2.final_output}\n\n{result3.final_output}" From eba0ab8bd179eb2937410a6654ebef3ca4f533b8 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Sat, 20 Sep 2025 10:10:06 -0700 Subject: [PATCH 15/19] cleanup --- openai_agents/mcp/README.md | 28 ++++++++--------- ...ss_worker.py => run_file_system_worker.py} | 6 ++-- ...orkflow.py => run_file_system_workflow.py} | 8 ++--- ...run_memory_research_scratchpad_workflow.py | 2 +- ...tateful_worker.py => run_memory_worker.py} | 2 +- ..._worker.py => run_prompt_server_worker.py} | 6 ++-- ...kflow.py => run_prompt_server_workflow.py} | 6 ++-- ..._stateless_worker.py => run_sse_worker.py} | 4 +-- ...teless_workflow.py => run_sse_workflow.py} | 6 ++-- ...orker.py => run_streamable_http_worker.py} | 6 ++-- ...low.py => run_streamable_http_workflow.py} | 8 ++--- openai_agents/mcp/servers/prompt_server.py | 21 +++++++++++++ ...ss_workflow.py => file_system_workflow.py} | 0 ..._workflow.py => prompt_server_workflow.py} | 30 ++++++++++++------- ..._stateless_workflow.py => sse_workflow.py} | 2 +- ...orkflow.py => streamable_http_workflow.py} | 2 +- 16 files changed, 78 insertions(+), 59 deletions(-) rename openai_agents/mcp/{run_file_system_stateless_worker.py => run_file_system_worker.py} (89%) rename openai_agents/mcp/{run_file_system_stateless_workflow.py => run_file_system_workflow.py} (70%) rename openai_agents/mcp/{run_memory_stateful_worker.py => run_memory_worker.py} (95%) rename openai_agents/mcp/{run_prompt_server_stateless_worker.py => run_prompt_server_worker.py} (90%) rename openai_agents/mcp/{run_prompt_server_stateless_workflow.py => run_prompt_server_workflow.py} (77%) rename openai_agents/mcp/{run_sse_stateless_worker.py => run_sse_worker.py} (91%) rename openai_agents/mcp/{run_sse_stateless_workflow.py => run_sse_workflow.py} (75%) rename openai_agents/mcp/{run_streamable_http_stateless_worker.py => run_streamable_http_worker.py} (89%) rename openai_agents/mcp/{run_streamable_http_stateless_workflow.py => run_streamable_http_workflow.py} (69%) rename openai_agents/mcp/workflows/{file_system_stateless_workflow.py => file_system_workflow.py} (100%) rename openai_agents/mcp/workflows/{prompt_server_stateless_workflow.py => prompt_server_workflow.py} (68%) rename openai_agents/mcp/workflows/{sse_stateless_workflow.py => sse_workflow.py} (96%) rename openai_agents/mcp/workflows/{streamable_http_stateless_workflow.py => streamable_http_workflow.py} (95%) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index d9efefdc..e1aad13e 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -9,22 +9,22 @@ Before running these examples, be sure to review the [prerequisites and backgrou ## Running the Examples -### File System MCP - Stateless +### Stdio MCP First, start the worker: ```bash -uv run openai_agents/mcp/run_file_system_stateless_worker.py +uv run openai_agents/mcp/run_file_system_worker.py ``` Run the workflow: ```bash -uv run openai_agents/mcp/run_file_system_stateless_workflow.py +uv run openai_agents/mcp/run_file_system_workflow.py ``` This sample assumes that the worker and `run_file_system_workflow.py` are on the same machine. -### Streamable HTTP MCP - Stateless +### Streamable HTTP MCP First, start the worker: ```bash @@ -33,15 +33,15 @@ uv run openai_agents/mcp/servers/tools_server.py --transport=streamable-http Then start the worker: ```bash -uv run openai_agents/mcp/run_streamable_http_stateless_worker.py +uv run openai_agents/mcp/run_streamable_http_worker.py ``` Finally, run the workflow: ```bash -uv run openai_agents/mcp/run_streamable_http_stateless_workflow.py +uv run openai_agents/mcp/run_streamable_http_workflow.py ``` -### SSE MCP - Stateless +### SSE MCP First, start the MCP server: ```bash @@ -50,15 +50,15 @@ uv run openai_agents/mcp/servers/tools_server.py --transport=sse Then start the worker: ```bash -uv run openai_agents/mcp/run_sse_stateless_worker.py +uv run openai_agents/mcp/run_sse_worker.py ``` Finally, run the workflow: ```bash -uv run openai_agents/mcp/run_sse_stateless_workflow.py +uv run openai_agents/mcp/run_sse_workflow.py ``` -### Prompt Server MCP - Stateless +### Prompt Server MCP First, start the MCP server: ```bash @@ -67,22 +67,22 @@ uv run openai_agents/mcp/servers/prompt_server.py Then start the worker: ```bash -uv run openai_agents/mcp/run_prompt_server_stateless_worker.py +uv run openai_agents/mcp/run_prompt_server_worker.py ``` Finally, run the workflow: ```bash -uv run openai_agents/mcp/run_prompt_server_stateless_workflow.py +uv run openai_agents/mcp/run_prompt_server_workflow.py ``` -### Memory MCP - Stateful (Research Scratchpad) +### Memory MCP (Research Scratchpad) Demonstrates durable note-taking with the Memory MCP server: write seed notes, query by tags, synthesize a brief with citations, then update and delete notes. Start the worker: ```bash -uv run openai_agents/mcp/run_memory_stateful_worker.py +uv run openai_agents/mcp/run_memory_worker.py ``` Run the research scratchpad workflow: diff --git a/openai_agents/mcp/run_file_system_stateless_worker.py b/openai_agents/mcp/run_file_system_worker.py similarity index 89% rename from openai_agents/mcp/run_file_system_stateless_worker.py rename to openai_agents/mcp/run_file_system_worker.py index 61eb2940..3b11541d 100644 --- a/openai_agents/mcp/run_file_system_stateless_worker.py +++ b/openai_agents/mcp/run_file_system_worker.py @@ -14,9 +14,7 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.file_system_stateless_workflow import ( - FileSystemWorkflow, -) +from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow async def main(): @@ -49,7 +47,7 @@ async def main(): worker = Worker( client, - task_queue=f"openai-agents-mcp-filesystem-stateless-task-queue", + task_queue=f"openai-agents-mcp-filesystem-task-queue", workflows=[ FileSystemWorkflow, ], diff --git a/openai_agents/mcp/run_file_system_stateless_workflow.py b/openai_agents/mcp/run_file_system_workflow.py similarity index 70% rename from openai_agents/mcp/run_file_system_stateless_workflow.py rename to openai_agents/mcp/run_file_system_workflow.py index 0dbcadd7..a52e7d56 100644 --- a/openai_agents/mcp/run_file_system_stateless_workflow.py +++ b/openai_agents/mcp/run_file_system_workflow.py @@ -3,9 +3,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.file_system_stateless_workflow import ( - FileSystemWorkflow, -) +from openai_agents.mcp.workflows.file_system_workflow import FileSystemWorkflow async def main(): @@ -20,8 +18,8 @@ async def main(): # Execute a workflow result = await client.execute_workflow( FileSystemWorkflow.run, - id="file-system-stateless-workflow", - task_queue="openai-agents-mcp-filesystem-stateless-task-queue", + id="file-system-workflow", + task_queue="openai-agents-mcp-filesystem-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py index 63daa980..03969fb4 100644 --- a/openai_agents/mcp/run_memory_research_scratchpad_workflow.py +++ b/openai_agents/mcp/run_memory_research_scratchpad_workflow.py @@ -19,7 +19,7 @@ async def main(): result = await client.execute_workflow( MemoryResearchScratchpadWorkflow.run, id="memory-research-scratchpad-workflow", - task_queue="openai-agents-mcp-memory-stateful-task-queue", + task_queue="openai-agents-mcp-memory-task-queue", ) print(f"Result:\n{result}") diff --git a/openai_agents/mcp/run_memory_stateful_worker.py b/openai_agents/mcp/run_memory_worker.py similarity index 95% rename from openai_agents/mcp/run_memory_stateful_worker.py rename to openai_agents/mcp/run_memory_worker.py index f8295e33..e2e12093 100644 --- a/openai_agents/mcp/run_memory_stateful_worker.py +++ b/openai_agents/mcp/run_memory_worker.py @@ -46,7 +46,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-memory-stateful-task-queue", + task_queue="openai-agents-mcp-memory-task-queue", workflows=[ MemoryResearchScratchpadWorkflow, ], diff --git a/openai_agents/mcp/run_prompt_server_stateless_worker.py b/openai_agents/mcp/run_prompt_server_worker.py similarity index 90% rename from openai_agents/mcp/run_prompt_server_stateless_worker.py rename to openai_agents/mcp/run_prompt_server_worker.py index 323e54a3..2919e5c5 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_worker.py +++ b/openai_agents/mcp/run_prompt_server_worker.py @@ -13,9 +13,7 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.prompt_server_stateless_workflow import ( - PromptServerWorkflow, -) +from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow async def main(): @@ -48,7 +46,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-prompt-stateless-task-queue", + task_queue="openai-agents-mcp-prompt-task-queue", workflows=[ PromptServerWorkflow, ], diff --git a/openai_agents/mcp/run_prompt_server_stateless_workflow.py b/openai_agents/mcp/run_prompt_server_workflow.py similarity index 77% rename from openai_agents/mcp/run_prompt_server_stateless_workflow.py rename to openai_agents/mcp/run_prompt_server_workflow.py index 165a5ebe..79e4bf65 100644 --- a/openai_agents/mcp/run_prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/run_prompt_server_workflow.py @@ -5,9 +5,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.prompt_server_stateless_workflow import ( - PromptServerWorkflow, -) +from openai_agents.mcp.workflows.prompt_server_workflow import PromptServerWorkflow async def main(): @@ -21,7 +19,7 @@ async def main(): result = await client.execute_workflow( PromptServerWorkflow.run, id="prompt-server-workflow", - task_queue="openai-agents-mcp-prompt-stateless-task-queue", + task_queue="openai-agents-mcp-prompt-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_sse_stateless_worker.py b/openai_agents/mcp/run_sse_worker.py similarity index 91% rename from openai_agents/mcp/run_sse_stateless_worker.py rename to openai_agents/mcp/run_sse_worker.py index 3ab77235..bf229803 100644 --- a/openai_agents/mcp/run_sse_stateless_worker.py +++ b/openai_agents/mcp/run_sse_worker.py @@ -13,7 +13,7 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow +from openai_agents.mcp.workflows.sse_workflow import SseWorkflow async def main(): @@ -46,7 +46,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-sse-stateless-task-queue", + task_queue="openai-agents-mcp-sse-task-queue", workflows=[ SseWorkflow, ], diff --git a/openai_agents/mcp/run_sse_stateless_workflow.py b/openai_agents/mcp/run_sse_workflow.py similarity index 75% rename from openai_agents/mcp/run_sse_stateless_workflow.py rename to openai_agents/mcp/run_sse_workflow.py index 4b2fe407..42a45596 100644 --- a/openai_agents/mcp/run_sse_stateless_workflow.py +++ b/openai_agents/mcp/run_sse_workflow.py @@ -5,7 +5,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.sse_stateless_workflow import SseWorkflow +from openai_agents.mcp.workflows.sse_workflow import SseWorkflow async def main(): @@ -18,8 +18,8 @@ async def main(): # Execute a workflow result = await client.execute_workflow( SseWorkflow.run, - id="sse-stateless-workflow", - task_queue="openai-agents-mcp-sse-stateless-task-queue", + id="sse-workflow", + task_queue="openai-agents-mcp-sse-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/run_streamable_http_stateless_worker.py b/openai_agents/mcp/run_streamable_http_worker.py similarity index 89% rename from openai_agents/mcp/run_streamable_http_stateless_worker.py rename to openai_agents/mcp/run_streamable_http_worker.py index 1710a4c0..500ccb02 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_worker.py +++ b/openai_agents/mcp/run_streamable_http_worker.py @@ -13,9 +13,7 @@ ) from temporalio.worker import Worker -from openai_agents.mcp.workflows.streamable_http_stateless_workflow import ( - StreamableHttpWorkflow, -) +from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow async def main(): @@ -48,7 +46,7 @@ async def main(): worker = Worker( client, - task_queue="openai-agents-mcp-streamable-http-stateless-task-queue", + task_queue="openai-agents-mcp-streamable-http-task-queue", workflows=[ StreamableHttpWorkflow, ], diff --git a/openai_agents/mcp/run_streamable_http_stateless_workflow.py b/openai_agents/mcp/run_streamable_http_workflow.py similarity index 69% rename from openai_agents/mcp/run_streamable_http_stateless_workflow.py rename to openai_agents/mcp/run_streamable_http_workflow.py index d51788c4..aa5d1bac 100644 --- a/openai_agents/mcp/run_streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/run_streamable_http_workflow.py @@ -5,9 +5,7 @@ from temporalio.client import Client from temporalio.contrib.openai_agents import OpenAIAgentsPlugin -from openai_agents.mcp.workflows.streamable_http_stateless_workflow import ( - StreamableHttpWorkflow, -) +from openai_agents.mcp.workflows.streamable_http_workflow import StreamableHttpWorkflow async def main(): @@ -20,8 +18,8 @@ async def main(): # Execute a workflow result = await client.execute_workflow( StreamableHttpWorkflow.run, - id="streamable-http-stateless-workflow", - task_queue="openai-agents-mcp-streamable-http-stateless-task-queue", + id="streamable-http-workflow", + task_queue="openai-agents-mcp-streamable-http-task-queue", ) print(f"Result: {result}") diff --git a/openai_agents/mcp/servers/prompt_server.py b/openai_agents/mcp/servers/prompt_server.py index 01dcbac3..07f025ce 100644 --- a/openai_agents/mcp/servers/prompt_server.py +++ b/openai_agents/mcp/servers/prompt_server.py @@ -33,5 +33,26 @@ def generate_code_review_instructions( Use the available tools to check current time if you need timestamps for your analysis.""" +@mcp.prompt() +def generate_review_rubric(target: str = "application code") -> str: + """Generate a scoring rubric for reviewing code or plans""" + return f"""You are evaluating {target}. Score each category 1-5 and justify briefly. + +CATEGORIES: +- Correctness and Reliability +- Security and Risk +- Performance and Efficiency +- Readability and Maintainability +- Testability and Coverage +- Compliance with Style/Guidelines + +FORMAT: +- Overall Score (1-5) +- Category Scores (bulleted) +- Top 3 Issues (with impact level and suggested fix) +- Quick Wins (3 bullets) +""" + + if __name__ == "__main__": mcp.run(transport="streamable-http") diff --git a/openai_agents/mcp/workflows/file_system_stateless_workflow.py b/openai_agents/mcp/workflows/file_system_workflow.py similarity index 100% rename from openai_agents/mcp/workflows/file_system_stateless_workflow.py rename to openai_agents/mcp/workflows/file_system_workflow.py diff --git a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py b/openai_agents/mcp/workflows/prompt_server_workflow.py similarity index 68% rename from openai_agents/mcp/workflows/prompt_server_stateless_workflow.py rename to openai_agents/mcp/workflows/prompt_server_workflow.py index 8214aff4..0a873561 100644 --- a/openai_agents/mcp/workflows/prompt_server_stateless_workflow.py +++ b/openai_agents/mcp/workflows/prompt_server_workflow.py @@ -2,7 +2,6 @@ from agents import Agent, Runner, trace from agents.mcp import MCPServer -from agents.model_settings import ModelSettings from temporalio import workflow from temporalio.contrib import openai_agents @@ -11,18 +10,24 @@ class PromptServerWorkflow: @workflow.run async def run(self) -> str: - with trace(workflow_name="MCP Prompt Server Example"): + with trace(workflow_name="Prompt Server Example"): + outputs: list[str] = [] server: MCPServer = openai_agents.workflow.stateless_mcp_server( "PromptServer" ) # Show available prompts workflow.logger.info("=== AVAILABLE PROMPTS ===") + outputs.append("=== AVAILABLE PROMPTS ===") prompts_result = await server.list_prompts() workflow.logger.info("User can select from these prompts:") + outputs.append("User can select from these prompts:") for i, prompt in enumerate(prompts_result.prompts, 1): - workflow.logger.info(f" {i}. {prompt.name} - {prompt.description}") + line = f" {i}. {prompt.name} - {prompt.description}" + workflow.logger.info(line) + outputs.append(line) workflow.logger.info("") + outputs.append("") # Demo code review with user-selected prompt workflow.logger.info("=== CODE REVIEW DEMO ===") @@ -37,19 +42,23 @@ async def run(self) -> str: {"focus": "security vulnerabilities", "language": "python"}, ) content = prompt_result.messages[0].content - if hasattr(content, "text"): - instructions = content.text - else: - instructions = str(content) + instructions = ( + content.text if hasattr(content, "text") else str(content) + ) workflow.logger.info("Generated instructions") + preview = instructions[:200].replace("\n", " ") + ( + "..." if len(instructions) > 200 else "" + ) + outputs.append("=== INSTRUCTIONS (PREVIEW) ===") + outputs.append(preview) except Exception as e: workflow.logger.info(f"Failed to get instructions: {e}") instructions = f"You are a helpful assistant. Error: {e}" + outputs.append(f"Failed to get instructions: {e}") agent = Agent( name="Code Reviewer Agent", instructions=instructions, - model_settings=ModelSettings(tool_choice="auto"), ) message = """Please review this code: @@ -62,8 +71,9 @@ def process_user_input(user_input): """ workflow.logger.info(f"Running: {message[:60]}...") + outputs.append("=== REVIEW OUTPUT ===") result = await Runner.run(starting_agent=agent, input=message) workflow.logger.info(result.final_output) + outputs.append(result.final_output) workflow.logger.info("\n" + "=" * 50 + "\n") - - return "Prompt server demo completed successfully" + return "\n".join(outputs) diff --git a/openai_agents/mcp/workflows/sse_stateless_workflow.py b/openai_agents/mcp/workflows/sse_workflow.py similarity index 96% rename from openai_agents/mcp/workflows/sse_stateless_workflow.py rename to openai_agents/mcp/workflows/sse_workflow.py index d4872388..c8b80e03 100644 --- a/openai_agents/mcp/workflows/sse_stateless_workflow.py +++ b/openai_agents/mcp/workflows/sse_workflow.py @@ -11,7 +11,7 @@ class SseWorkflow: @workflow.run async def run(self) -> str: - with trace(workflow_name="MCP SSE Example"): + with trace(workflow_name="SSE Example"): server: MCPServer = openai_agents.workflow.stateless_mcp_server("SseServer") agent = Agent( name="Assistant", diff --git a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py b/openai_agents/mcp/workflows/streamable_http_workflow.py similarity index 95% rename from openai_agents/mcp/workflows/streamable_http_stateless_workflow.py rename to openai_agents/mcp/workflows/streamable_http_workflow.py index 442f1cc5..98b7d576 100644 --- a/openai_agents/mcp/workflows/streamable_http_stateless_workflow.py +++ b/openai_agents/mcp/workflows/streamable_http_workflow.py @@ -11,7 +11,7 @@ class StreamableHttpWorkflow: @workflow.run async def run(self) -> str: - with trace(workflow_name="MCP Streamable HTTP Example"): + with trace(workflow_name="Streamable HTTP Example"): server: MCPServer = openai_agents.workflow.stateless_mcp_server( "StreamableHttpServer" ) From dc2277ad60d302051c6e2b6f51fb59ef58824b12 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Tue, 23 Sep 2025 16:50:32 -0700 Subject: [PATCH 16/19] interface updates --- openai_agents/mcp/run_file_system_worker.py | 2 +- openai_agents/mcp/run_memory_worker.py | 2 +- openai_agents/mcp/run_prompt_server_worker.py | 2 +- openai_agents/mcp/run_sse_worker.py | 2 +- openai_agents/mcp/run_streamable_http_worker.py | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/openai_agents/mcp/run_file_system_worker.py b/openai_agents/mcp/run_file_system_worker.py index 3b11541d..0eb440bb 100644 --- a/openai_agents/mcp/run_file_system_worker.py +++ b/openai_agents/mcp/run_file_system_worker.py @@ -40,7 +40,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[file_system_server], + mcp_server_providers=[file_system_server], ), ], ) diff --git a/openai_agents/mcp/run_memory_worker.py b/openai_agents/mcp/run_memory_worker.py index e2e12093..fb1d8494 100644 --- a/openai_agents/mcp/run_memory_worker.py +++ b/openai_agents/mcp/run_memory_worker.py @@ -39,7 +39,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[memory_server_provider], + mcp_server_providers=[memory_server_provider], ), ], ) diff --git a/openai_agents/mcp/run_prompt_server_worker.py b/openai_agents/mcp/run_prompt_server_worker.py index 2919e5c5..e390c0ac 100644 --- a/openai_agents/mcp/run_prompt_server_worker.py +++ b/openai_agents/mcp/run_prompt_server_worker.py @@ -39,7 +39,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=120) ), - mcp_servers=[prompt_server_provider], + mcp_server_providers=[prompt_server_provider], ), ], ) diff --git a/openai_agents/mcp/run_sse_worker.py b/openai_agents/mcp/run_sse_worker.py index bf229803..406e65bf 100644 --- a/openai_agents/mcp/run_sse_worker.py +++ b/openai_agents/mcp/run_sse_worker.py @@ -39,7 +39,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[sse_server_provider], + mcp_server_providers=[sse_server_provider], ), ], ) diff --git a/openai_agents/mcp/run_streamable_http_worker.py b/openai_agents/mcp/run_streamable_http_worker.py index 500ccb02..9c178b6f 100644 --- a/openai_agents/mcp/run_streamable_http_worker.py +++ b/openai_agents/mcp/run_streamable_http_worker.py @@ -39,7 +39,7 @@ async def main(): model_params=ModelActivityParameters( start_to_close_timeout=timedelta(seconds=60) ), - mcp_servers=[streamable_http_server_provider], + mcp_server_providers=[streamable_http_server_provider], ), ], ) From 19be71e3c938c47cde373d60bbbdabc51c8f5484 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Thu, 25 Sep 2025 11:11:37 -0700 Subject: 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run_memory_research_scratchpad_worker.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename openai_agents/mcp/{run_memory_worker.py => run_memory_research_scratchpad_worker.py} (100%) diff --git a/openai_agents/mcp/README.md b/openai_agents/mcp/README.md index e1aad13e..d9a172f3 100644 --- a/openai_agents/mcp/README.md +++ b/openai_agents/mcp/README.md @@ -82,7 +82,7 @@ Demonstrates durable note-taking with the Memory MCP server: write seed notes, q Start the worker: ```bash -uv run openai_agents/mcp/run_memory_worker.py +uv run openai_agents/mcp/run_memory_research_scratchpad_worker.py ``` Run the research scratchpad workflow: diff --git a/openai_agents/mcp/run_memory_worker.py b/openai_agents/mcp/run_memory_research_scratchpad_worker.py similarity index 100% rename from openai_agents/mcp/run_memory_worker.py rename to openai_agents/mcp/run_memory_research_scratchpad_worker.py From 2d2f960c88712b78ad42313c0dcb752a838663b1 Mon Sep 17 00:00:00 2001 From: Johann Schleier-Smith Date: Mon, 29 Sep 2025 11:30:02 -0700 Subject: [PATCH 19/19] openai agents upgrade --- pyproject.toml | 2 +- uv.lock | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c1d187d1..73007250 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -55,7 +55,7 @@ open-telemetry = [ "opentelemetry-exporter-otlp-proto-grpc", ] openai-agents = [ - "openai-agents[litellm] == 0.3.0", + "openai-agents[litellm] == 0.3.2", "temporalio[openai-agents] >= 1.18.0", "requests>=2.32.0,<3", ] diff --git a/uv.lock b/uv.lock index 02bcf3ce..73424b77 100644 --- a/uv.lock +++ b/uv.lock @@ -1477,7 +1477,7 @@ wheels = [ [[package]] name = "openai-agents" -version = "0.3.0" +version = "0.3.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "griffe" }, @@ -1488,9 +1488,9 @@ dependencies = [ { name = "types-requests" }, { name = "typing-extensions" }, ] -sdist = { url = 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