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Example with new plugin PR #206
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Original file line number | Diff line number | Diff line change |
---|---|---|
|
@@ -4,11 +4,7 @@ | |
from datetime import timedelta | ||
|
||
from temporalio.client import Client | ||
from temporalio.contrib.openai_agents.invoke_model_activity import ModelActivity | ||
from temporalio.contrib.openai_agents.model_parameters import ModelActivityParameters | ||
from temporalio.contrib.openai_agents.temporal_openai_agents import ( | ||
set_open_ai_agent_temporal_overrides, | ||
) | ||
from temporalio.contrib.openai_agents import Plugin | ||
from temporalio.contrib.pydantic import pydantic_data_converter | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This import not needed anymore either There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. [I like using a ruff IDE extension and setting format-on-save to true.] |
||
from temporalio.worker import Worker | ||
|
||
|
@@ -21,34 +17,27 @@ | |
|
||
|
||
async def main(): | ||
with set_open_ai_agent_temporal_overrides( | ||
model_params=ModelActivityParameters( | ||
start_to_close_timeout=timedelta(seconds=60), | ||
), | ||
): | ||
# Create client connected to server at the given address | ||
client = await Client.connect( | ||
"localhost:7233", | ||
data_converter=pydantic_data_converter, | ||
) | ||
|
||
model_activity = ModelActivity(model_provider=None) | ||
worker = Worker( | ||
client, | ||
task_queue="openai-agents-task-queue", | ||
workflows=[ | ||
HelloWorldAgent, | ||
ToolsWorkflow, | ||
ResearchWorkflow, | ||
CustomerServiceWorkflow, | ||
AgentsAsToolsWorkflow, | ||
], | ||
activities=[ | ||
model_activity.invoke_model_activity, | ||
get_weather, | ||
], | ||
) | ||
await worker.run() | ||
# Create client connected to server at the given address | ||
client = await Client.connect( | ||
"localhost:7233", | ||
plugins=[Plugin()], | ||
) | ||
|
||
worker = Worker( | ||
client, | ||
task_queue="openai-agents-task-queue", | ||
workflows=[ | ||
HelloWorldAgent, | ||
ToolsWorkflow, | ||
ResearchWorkflow, | ||
CustomerServiceWorkflow, | ||
AgentsAsToolsWorkflow, | ||
], | ||
activities=[ | ||
get_weather, | ||
], | ||
) | ||
await worker.run() | ||
|
||
|
||
if __name__ == "__main__": | ||
|
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I think we probably want to encourage plugin authors to name this object like
OpenAIAgentsPlugin
so that even if imported usingfrom ... import ...
it's still clear at the usage site what plugin it is.Alternatively we could reference it as
openai_agents.Plugin
, but I think encouraging the fully-qualified plugin object name makes sense.