workflow rename, prompt tuning

scripts/end_chat.py

@@ -8,7 +8,7 @@ async def main():
     # Create client connected to server at the given address
     client = await Client.connect("localhost:7233")
 
-    workflow_id = "ollama-agent"
+    workflow_id = "agent-workflow"
 
     handle = client.get_workflow_handle_for(ToolWorkflow.run, workflow_id)
 

scripts/get_history.py

@@ -7,7 +7,7 @@ from workflows import ToolWorkflow
 async def main():
     # Create client connected to server at the given address
     client = await Client.connect("localhost:7233")
-    workflow_id = "ollama-agent"
+    workflow_id = "agent-workflow"
 
     handle = client.get_workflow_handle(workflow_id)
 

scripts/run_worker.py

@@ -18,7 +18,7 @@ async def main():
     with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor:
         worker = Worker(
             client,
-            task_queue="ollama-task-queue",
+            task_queue="agent-task-queue",
             workflows=[ToolWorkflow],
             activities=[
                 activities.prompt_llm,

scripts/send_message.py

@@ -91,7 +91,7 @@ async def main(prompt: str):
     # 4) Connect to Temporal and start or signal the workflow
     client = await Client.connect("localhost:7233")
 
-    workflow_id = "ollama-agent"
+    workflow_id = "agent-workflow"
 
     # Note that we start the ToolWorkflow.run with 'combined_input'
     # Then we immediately signal with the initial prompt
@@ -99,7 +99,7 @@ async def main(prompt: str):
         ToolWorkflow.run,
         combined_input,
         id=workflow_id,
-        task_queue="ollama-task-queue",
+        task_queue="agent-task-queue",
         start_signal="user_prompt",  # This will send your first prompt to the workflow
         start_signal_args=[prompt],
     )