I can use code to create Assistants and Threads, and I saw the same post in the forum, which made me understand that I can see these created Assistants in the Playground page
from OpenAI import OpenAI
client = OpenAI(api_key="api_key")
assistant = client.beta.assistant.create(
name = "",
instructions = "",
tools = [{"type":""}],
model = "gpt-4-1106-preview"
)
thread = client.beta.threads.create()
print(thread)
messages = client.beta.threads.messages.create(
thread_id = thread.id,
role = "user",
content = ""
)
My question is, if this Python script is used as an API call file to be connected to my other project programs, does that mean that every time the activation program sends a command to Assistants, a new Assistant will be created?
So can I make the program call the previously created Assistants every time it runs? Or, can you create an assistant directly in the Playground and then select the assistant directly in the Python script?
Because if you need to create a new assistant and upload reference files every time, this will become very expensive.
The script you posted will always create a new assistant when it is executed. This is probably not what you want. Ideally you only create the assistant once and then use its ID when executing a run on either a new thread or an existing thread of messages.
The actual details will depend on how your application works. There are a couple of scenarios:
If your application has to reuse an assistant that it previously created, then you could just store the assistant_id in your database after creating an assistant. Fetch and reuse this assistant_id later on.
If you don’t know the assistant_id in advance you could call the List assistants endpoint to list assistants and then select the one you are after by its name. Check the OpenAI API reference docs for the endpoints.
I also suggest you read the Assistants Overview documentation on OpenAI to understand how assistants work and the nuances involved. e.g. polling for run statuses, e.t.c
Therefore, when the script is first activated, it is allowed to execute the command to query the target Assistant ID. For example, in the following form？
client = OpenAI(api_key=api_key)
assistant_id = 'asst_SfkU69NBrlE3IHMRzl3kNBtl'
def check_assistant_exists(assistant_id):
try:
response = client.beta.assistants.retrieve(assistant_id)
return True if response else False
except Exception as e:
print(f"An error occurred while checking the assistant: {e}", file=sys.stderr)
return False
if not check_assistant_exists(assistant_id):
# Assistant creation logic - Ensure values are from config or inputs
assistant = client.beta.assistants.create(
name=os.getenv("ASSISTANT_NAME", "Default Assistant Name"),
instructions=os.getenv("ASSISTANT_INSTRUCTIONS", "Default Instructions"),
tools=[{"type": "code_interpreter"}],
model="gpt-4"
)
assistant_id = assistant["id"]
# Create a thread
thread = client.beta.threads.create()
I’m sorry to bother you, but has this issue been resolved? I am facing a similar problem. If I create an assistant on the OpenAI platform (https://platform.openai.com/assistants), how can I directly invoke this specific assistant and ask a series of questions, ensuring that all these questions and the assistant’s responses are executed within the same thread, similar to how it works in the assistant playground ?
Hey I was curios about this same problem and found a solution!
In the documentation for Assistants, for step 4 “Create a Run”, it details how to add the assistant id of an existing assistant.
with client.beta.threads.runs.stream(
thread_id=thread.id,
assistant_id=assistant.id,
instructions="Please address the user as Jane Doe. The user has a premium account.",
event_handler=EventHandler(),
) as stream:
stream.until_done()
