diff --git a/openai_sample/activities/basic_model_activity.py b/openai_sample/activities/basic_model_activity.py new file mode 100644 index 000000000..bfed747f6 --- /dev/null +++ b/openai_sample/activities/basic_model_activity.py @@ -0,0 +1,17 @@ +from temporalio import workflow +from openai import AsyncOpenAI +from temporalio import activity +with workflow.unsafe.imports_passed_through(): + from braintrust import wrap_openai, init_logger + + +@activity.defn +async def basic_model_invocation(prompt: str) -> str: + client = wrap_openai(AsyncOpenAI()) + logger=init_logger(project="Temporal-first-project") + response = await client.responses.create( + model="gpt-4o", + instructions="You are a coding assistant that talks like a pirate.", + input=prompt, + ) + return response.output_text diff --git a/openai_sample/run_basic_model_workflow.py b/openai_sample/run_basic_model_workflow.py new file mode 100644 index 000000000..c1b9af2b2 --- /dev/null +++ b/openai_sample/run_basic_model_workflow.py @@ -0,0 +1,26 @@ +import asyncio + +from temporalio.client import Client + +from workflows.basic_model_workflow import BasicModelWorkflow + + +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( + BasicModelWorkflow.run, + args=["How do I check if a Python object is an instance of a class?"], + id="basic-model-workflow", + task_queue="openai-basic-task-queue", + ) + + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_sample/run_worker.py b/openai_sample/run_worker.py new file mode 100644 index 000000000..da1c6f143 --- /dev/null +++ b/openai_sample/run_worker.py @@ -0,0 +1,34 @@ +from __future__ import annotations + +import asyncio + +from temporalio.client import Client +from temporalio.contrib.opentelemetry import TracingInterceptor +from temporalio.worker import Worker + +from activities.basic_model_activity import basic_model_invocation +from workflows.basic_model_workflow import BasicModelWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect( + "localhost:7233", + ) + + worker = Worker( + client, + task_queue="openai-basic-task-queue", + workflows=[ + BasicModelWorkflow, + ], + activities=[ + basic_model_invocation, + ], + interceptors=[TracingInterceptor()] + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/openai_sample/workflows/basic_model_workflow.py b/openai_sample/workflows/basic_model_workflow.py new file mode 100644 index 000000000..11a00afe8 --- /dev/null +++ b/openai_sample/workflows/basic_model_workflow.py @@ -0,0 +1,27 @@ +from __future__ import annotations + +from datetime import timedelta + +from temporalio import workflow + +from openai_sample.activities.basic_model_activity import basic_model_invocation + +with workflow.unsafe.imports_passed_through(): + from braintrust import traced, init_logger + +logger=init_logger(project="Temporal-first-project") + +@workflow.defn(sandboxed=False) +class BasicModelWorkflow: + @traced + @workflow.run + async def run(self, question: str) -> str: + return await self.do_model(question) + + @traced + async def do_model(self, question: str) -> str: + return await workflow.execute_activity( + basic_model_invocation, + question, + start_to_close_timeout=timedelta(minutes=1), + ) \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 73007250e..7441621f9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,10 @@ authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] requires-python = ">=3.10" readme = "README.md" license = "MIT" -dependencies = ["temporalio>=1.18.0,<2"] +dependencies = [ + "braintrust>=0.3.0", + "temporalio>=1.18.0,<2", +] [project.urls] Homepage = 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