OpenAI Agents Sessions on PostgreSQL

openai_agents/memory/README.md

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+# Session Memory Examples
+
+Session memory examples for OpenAI Agents SDK integrated with Temporal workflows.
+
+*Adapted from [OpenAI Agents SDK session memory examples](https://github.com/openai/openai-agents-python/tree/main/examples/memory)*
+
+Before running these examples, be sure to review the [prerequisites and background on the integration](../README.md).
+
+## Running the Examples
+
+### PostgreSQL Session Memory
+
+This example uses a PostgreSQL database to store session data.
+
+You need can use the standard PostgreSQL environment variables to configure the database connection.
+These include `PGDATABASE`, `PGUSER`, `PGPASSWORD`, `PGHOST`, and `PGPORT`.
+We also support the `DATABASE_URL` environment variable.
+
+To confirm that your environment is configured correctly, just run the `psql` command after setting the environment variables.
+For example:
+```bash
+PGDATABASE=postgres psql
+```
+
+Start the worker:
+```bash
+PGDATABASE=postgres uv run openai_agents/memory/run_postgres_session_worker.py
+```
+
+Then run the workflow:
+
+```bash
+uv run openai_agents/memory/run_postgres_session_workflow.py
+```

openai_agents/memory/db_utils.py

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+import json
+import asyncpg
+from typing import Callable, Awaitable, TypeVar
+from temporalio import activity
+from pydantic import BaseModel
+
+T = TypeVar("T")
+
+
+class IdempotenceHelper(BaseModel):
+    table_name: str
+
+    def __init__(self, table_name: str):
+        super().__init__(table_name=table_name)
+        self.table_name = table_name
+
+    async def create_table(self, conn: asyncpg.Connection) -> None:
+        await conn.execute(
+            f"""
+                CREATE TABLE IF NOT EXISTS {self.table_name} (
+                    run_id UUID NOT NULL,
+                    activity_id TEXT NOT NULL,
+                    operation_started_at TIMESTAMP NOT NULL,
+                    operation_completed_at TIMESTAMP NULL,
+                    operation_result TEXT NULL,
+                    PRIMARY KEY (run_id, activity_id)
+                )
+            """
+        )
+
+    async def idempotent_update(
+        self,
+        conn: asyncpg.Connection,
+        operation: Callable[[asyncpg.Connection], Awaitable[T]],
+    ) -> T | None:
+        """Insert idempotence row; on conflict, read and return existing result.
+
+        The operation must be an async callable of the form:
+            async def op(conn: asyncpg.Connection) -> T
+        """
+        activity_info = activity.info()
+        run_id = activity_info.workflow_run_id
+        activity_id = activity_info.activity_id
+
+        async with conn.transaction():
+            did_insert = await conn.fetchrow(
+                (
+                    f"INSERT INTO {self.table_name} "
+                    f"(run_id, activity_id, operation_started_at) "
+                    f"VALUES ($1, $2, NOW()) "
+                    f"ON CONFLICT (run_id, activity_id) DO NOTHING "
+                    f"RETURNING 1"
+                ),
+                run_id,
+                activity_id,
+            )
+
+            if did_insert:
+                res = await operation(conn)
+
+                if hasattr(res, "model_dump_json"):
+                    op_result = res.model_dump_json()
+                else:
+                    op_result = json.dumps(res)
+
+                await conn.execute(
+                    f"UPDATE {self.table_name} SET operation_completed_at = NOW(), operation_result = $1 WHERE run_id = $2 AND activity_id = $3",
+                    op_result,
+                    run_id,
+                    activity_id,
+                )
+                return res
+            else:
+                row = await conn.fetchrow(
+                    f"SELECT operation_result FROM {self.table_name} WHERE run_id = $1 AND activity_id = $2",
+                    run_id,
+                    activity_id,
+                )
+                if not row or row["operation_result"] is None:
+                    return None
+                try:
+                    return json.loads(row["operation_result"])
+                except Exception:
+                    return row["operation_result"]