assistant api function calling

[fathom glacier]

@narrow oar when does an assistant enter the requires_action state?

[narrow oar]

Hi @fathom glacier. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

---

An assistant enters the requires_action state when it needs to call a function. This happens when the assistant determines the names and arguments of the functions to be called based on the user's message.

When you initiate a run with a user message that triggers a function, the run will first enter a pending status. After processing, the run will enter a requires_action state. You can verify this by retrieving the run. The model can provide multiple functions to call at once using parallel function calling.

Here's an example of what the run object might look like when it's in the requires_action state:

{
 "id": "run_abc123",
 "object": "thread.run",
 "assistant_id": "asst_abc123",
 "thread_id": "thread_abc123",
 "status": "requires_action",
 "required_action": {
 "type": "submit_tool_outputs",
 "submit_tool_outputs": {
 "tool_calls": [
 {
 "id": "call_abc123",
 "type": "function",
 "function": {
 "name": "getCurrentWeather",
 "arguments": "{\"location\":\"San Francisco\"}"
 }
 },
 {
 "id": "call_abc456",
 "type": "function",
 "function": {
 "name": "getNickname",
 "arguments": "{\"location\":\"Los Angeles\"}"
 }
 }
 ]
 }
 },
...

You must then run those functions and submit the outputs before the run proceeds. If the outputs are not provided before the expires_at timestamp passes (roughly 10 mins past creation), the run will move to an expired status.

Sources:

• OpenAI Docs - Assistants - Tools Beta - Function calling - Reading the functions called by the Assistant (https://platform.openai.com/docs/assistants/tools)
• OpenAI Community - Forum Post: I need help using assistant in python (required_action infinite loop) (https://community.openai.com/t/486969)

---

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[fathom glacier]

@narrow oar can i make an assistant always execute the function call when he finished generating the response?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

Based on the information provided in the extracts, it's not directly possible to make an assistant always execute the function call immediately after generating the response. The function calling process in the Assistant API involves a few steps:

1. The assistant determines if a function is needed based on the user's message and the provided function schema.
2. If a function is needed, the assistant creates a stringified version of the function and changes the status to requires_action.
3. You then need to run the function (this could be done using a simple map or other methods depending on your application) and return the results using the submitToolOutputs endpoint.
4. The assistant then uses the results to form a response.

This process is designed to give you control over when and how functions are executed. It's important to note that the assistant itself does not execute the function; it only generates the function call. The actual execution of the function is handled by your application.

If you want to automate the process of executing the function and submitting the results, you would need to build this into your application. However, this would be outside the scope of the assistant's capabilities and would depend on the specifics of your application and the programming language you are using.

Source: OpenAI Community - Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240)

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[fathom glacier]

@narrow oar so it runs functions before generating a response?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

No, the assistant does not run functions before generating a response. Here's the sequence of events:

1. The assistant generates a response based on the user's message and the context of the conversation. If the assistant determines that a function needs to be called, it will generate a function call in the form of a JSON object. This JSON object contains the name of the function to be called and the arguments to be passed to the function.

2. The assistant's response, including the function call, is returned to your application. At this point, the assistant's status changes to requires_action.

3. Your application is responsible for executing the function call. This involves extracting the function name and arguments from the JSON object, calling the appropriate function in your code, and capturing the function's output.

4. Once the function has been executed and the output captured, your application needs to send this output back to the assistant using the submitToolOutputs endpoint.

5. The assistant then uses this output to generate the next response.

So, the assistant generates a response (which may include a function call) before the function is actually executed. The function is executed by your application, not by the assistant.

Source: OpenAI Community - Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240)

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[fathom glacier]

@narrow oar i want my assistant to generate a normal response and determine whether it recommended products in his response. This products names are passed to a function then as parameters

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

Based on the information provided in the extracts, you can achieve this by defining a function in your application that takes product names as parameters. You would then need to instruct the assistant to call this function when it recommends products in its response.

Here's a general sequence of steps you could follow:

1. Define a function in your application that takes product names as parameters. This function could do whatever you need it to do with the product names.

2. When you call the assistant, include this function in the functions parameter of the API call. The function should be defined in a specific format that the assistant can understand. Here's an example:

functions = [
    {
        "type": "function",
        "function": {
            "name": "process_product_names",
            "description": "Processes product names",
            "parameters": {
                "type": "object",
                "properties": {
                    "product_names": {
                        "type": "array",
                        "items": {
                            "type": "string"
                        }
                    }
                },
                "additionalProperties": False
            }
        }
    }
]

3. Instruct the assistant to call this function when it recommends products. You could do this by including instructions in the user message or in the system message that precedes the user message.

4. When the assistant generates a response, it will include a function call in the response if it has recommended any products. Your application will need to extract this function call from the response, execute the function, and then submit the function's output back to the assistant.

Please note that the assistant itself does not execute the function; it only generates the function call. The actual execution of the function is handled by your application.

Source: OpenAI Docs - Guides - Function calling - Introduction Part 1 (https://platform.openai.com/docs/guides/function-calling)

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[fathom glacier]

@narrow oar so when is the actual time the assistant determines to execute a function and enter the requires_action state? can it be in the middle of generating a response?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

The assistant determines to execute a function and enter the requires_action state after it has finished generating a response. It does not happen in the middle of generating a response.

Here's the sequence of events:

1. The assistant processes the user's message and generates a response. If the assistant determines that a function needs to be called based on the user's message and the context of the conversation, it will include a function call in its response.

2. The assistant's response, including the function call, is returned to your application. At this point, the assistant's status changes to requires_action.

3. Your application is then responsible for executing the function call. This involves extracting the function name and arguments from the assistant's response, calling the appropriate function in your code, and capturing the function's output.

4. Once the function has been executed and the output captured, your application needs to send this output back to the assistant using the submitToolOutputs endpoint.

5. The assistant then uses this output to generate the next response.

So, the assistant determines to execute a function and enter the requires_action state after it has finished generating a response, not in the middle of generating a response.

Sources:

• OpenAI Community - Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240)
• OpenAI Docs - Assistants - Tools Beta - Function calling - Reading the functions called by the Assistant (https://platform.openai.com/docs/assistants/tools)

---

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[fathom glacier]

@narrow oar what if i want the assistant to not generate a next response?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

If you want the assistant to not generate a next response, you can simply not make a subsequent API call to the assistant. Once you've received a response from the assistant and executed any required function calls, you are under no obligation to continue the conversation.

However, if you want to ensure that the assistant does not generate a next response even if a subsequent API call is made, you could end the conversation with a system message. A system message is a special type of message that you can use to control the behavior of the assistant. For example, you could send a system message like this:

{
  "role": "system",
  "content": "You are now exiting the conversation. Goodbye!"
}

This would signal to the assistant that the conversation is over. However, please note that this does not technically prevent the assistant from generating a next response if a subsequent API call is made. It simply provides a natural end point to the conversation.

Source: OpenAI Docs - Guides - Messages - System messages (https://platform.openai.com/docs/guides/messages)

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[fathom glacier]

@narrow oar how can i make the assistant end the requires_action state? only by submittingi the tool-outputs, or are there other ways?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

The requires_action state in an assistant's run is ended by submitting the outputs of the function calls that the assistant has generated. This is done using the submitToolOutputs endpoint.

Here's an example of how you might do this in Python:

run = client.beta.threads.runs.submit_tool_outputs(
 thread_id=thread.id,
 run_id=run.id,
 tool_outputs=[
 {
 "tool_call_id": call_ids[0],
 "output": "22C",
 },
 {
 "tool_call_id": call_ids[1],
 "output": "LA",
 },
 ]
)

In this example, call_ids are the IDs of the function calls that the assistant has generated. The output is the output of the function call, which you would have obtained by executing the function in your application.

After submitting the outputs, the run will enter the queued state before it continues its execution.

There are no other ways mentioned in the extracts to end the requires_action state. If the outputs are not provided before the expires_at timestamp passes (roughly 10 mins past creation), the run will move to an expired status.

Source: OpenAI Docs - Assistants - Tools Beta - Function calling - Submitting functions outputs (https://platform.openai.com/docs/assistants/tools)

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[fathom glacier]

@narrow oar I don't understand if he calls a function at the end of creating the first message, or at the beginning, or in the middle 😄 ?

Cause I'm making a product-recommendation assistant that recommends products based on his knowledgebase. And the assistant should call a tool at the end of creating his response (this response sometimes contains recommendations). The tool then stores the product names the assistant passes to the tool in my local code.

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

The assistant determines to call a function at the end of generating a response, not at the beginning or in the middle. Here's the sequence of events:

1. The assistant processes the user's message and generates a response. If the assistant determines that a function needs to be called based on the user's message and the context of the conversation, it will include a function call in its response.

2. The assistant's response, including the function call, is returned to your application. At this point, the assistant's status changes to requires_action.

3. Your application is then responsible for executing the function call. This involves extracting the function name and arguments from the assistant's response, calling the appropriate function in your code, and capturing the function's output.

4. Once the function has been executed and the output captured, your application needs to send this output back to the assistant using the submitToolOutputs endpoint.

5. The assistant then uses this output to generate the next response.

So, in your case, if the assistant's response includes product recommendations, it will include a function call to your tool at the end of generating this response. Your application will then need to execute this function call, which involves storing the product names in your local code.

Sources:

• OpenAI Community - Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240)
• OpenAI Docs - Assistants - Tools Beta - Function calling - Reading the functions called by the Assistant (https://platform.openai.com/docs/assistants/tools)

---

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[fathom glacier]

@narrow oar what is done in the second response?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

In the second response, the assistant uses the output from the function call that was executed in your application to generate a new message. Here's the sequence of events:

1. After your application has executed the function call and captured the output, it sends this output back to the assistant using the submitToolOutputs endpoint.

2. The assistant then uses this output to generate a new message. This message is based on the user's original message, the context of the conversation, and the output from the function call.

3. The assistant's new message is returned to your application.

So, the second response is where the assistant uses the output from the function call to generate a new message. This message can include information based on the function's output, which can be used to provide more detailed or personalized responses to the user.

Source: OpenAI Community - Forum Post: Assistant API + making an API call > Official Answer (https://community.openai.com/t/503240)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

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[fathom glacier]

@narrow oar what if the output of my function is just "success"?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

If the output of your function is just "success", you would still submit this output back to the assistant using the submitToolOutputs endpoint. The assistant would then use this output to generate a new message.

Here's an example of how you might do this in Python:

run = client.beta.threads.runs.submit_tool_outputs(
 thread_id=thread.id,
 run_id=run.id,
 tool_outputs=[
 {
 "tool_call_id": call_id,
 "output": "success",
 }
 ]
)

In this example, call_id is the ID of the function call that the assistant has generated. The output is the output of the function call, which in this case is the string "success".

The assistant would then use this output to generate a new message. However, since the output is just "success", it might not provide much additional information for the assistant to use in its response. The assistant's response would still be based on the user's original message and the context of the conversation.

Source: OpenAI Docs - Assistants - Tools Beta - Function calling - Submitting functions outputs (https://platform.openai.com/docs/assistants/tools)

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

@fathom glacier kapa.ai is still learning and improving, please let us know how it did by reacting below

[fathom glacier]

@narrow oar is there a way to make the assistant not generate a new message?

@narrow oar is there a way to make the assistant not generate a new message?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

Sorry @fathom glacier, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?

[celest vigil]

@narrow oar what is data type of tools in fucntion calling in openai assistant message?

[narrow oar]

Let me check the knowledge base for you. One moment! :books:

---

The tools field in the OpenAI Assistant message is an array. Each item in the array represents a tool that is enabled on the assistant. The tools can be of types code_interpreter, file_search, or function.

Here's an example of how the tools field might look:

'tools': [
  {
    'type': 'code_interpreter',
    ...
  },
  {
    'type': 'file_search',
    ...
  },
  {
    'type': 'function',
    'function': {
      'name': 'function_name',
      'description': 'function_description',
      'parameters': {
        'type': 'object',
        ...
      }
    }
  },
  ...
]

In this example, each tool is represented as an object with a type field and additional fields depending on the type of the tool.

Source: OpenAI API - Assistants > Methods > listAssistants > Responses Part 2 (https://platform.openai.com/docs/api-reference)

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