workflow rename, prompt tuning

prompts/agent_prompt_generators.py

@@ -69,7 +69,9 @@ def generate_genai_prompt_from_tools_data(
         "7. Keep responses in plain text. Return valid JSON without extra commentary."
     )
     prompt_lines.append("")
-    prompt_lines.append("Begin by prompting or confirming the necessary details.")
+    prompt_lines.append(
+        "Begin by prompting or confirming the necessary details. If any are missing (null) ensure you ask for them."
+    )
 
     return "\n".join(prompt_lines)
 
@@ -126,6 +128,12 @@ def generate_json_validation_prompt_from_tools_data(
         "5. 'next' should be one of 'question', 'confirm', or 'done' (if no more actions)."
         "Do NOT use 'next': 'confirm' until you have all args. If there are any args that are null then next='question'). "
     )
+    prompt_lines.append(
+        "6. If any of args is 'null' then ensure next = 'question' and that your response asks for this information from the user. "
+    )
+    prompt_lines.append(
+        "7. If all tools mentioned above have 'completed successfully' (check the history) then next should be 'done'. "
+    )
     prompt_lines.append(
         "Use the conversation history to parse known data for filling 'args' if possible. "
     )

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],
     )