What is the difference between System Message, User Message, Assistant Message and Tool message and when to use them?
#Can you tell me about various message type parameters in the Chat completions API?
rare verge
robust matrixBOT
Hi @rare verge. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
In the Chat Completions API, there are three types of messages: system, user, and assistant. Each message type has a specific role in the conversation.
-
System Message: This message sets the behavior of the assistant by defining its desired persona and task. For example, you can modify the personality of the assistant or provide specific instructions about how it should behave throughout the conversation. The system message is typically the first message in a conversation. However, it's optional and the model’s behavior without a system message is likely to be similar to using a generic message such as "You are a helpful assistant." source (https://platform.openai.com/docs/guides/text-generation)
-
User Message: These messages provide requests or comments for the assistant to respond to. They are the inputs that the assistant will respond to in the conversation. source (https://platform.openai.com/docs/guides/text-generation)
-
Assistant Message: These messages store previous assistant responses, but can also be written by you to give examples of desired behavior. They are used to store the assistant's responses in the conversation. source (https://platform.openai.com/docs/guides/text-generation)
The term "Tool message" is not mentioned in the provided extracts, so I can't provide information on that.
Here's an example of how these messages are used in the API:
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
)
source (https://platform.openai.com/docs/guides/text-generation)
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rare verge
@robust matrix do i need to use Moderations API if my usecase involves semantic search with RAG? Also will i be charged for moderations API?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
The use of the Moderations API depends on the specific requirements of your use case. If your use case involves semantic search with RAG (Retrieval-Augmented Generation) and you want to ensure that the content generated does not violate OpenAI's use-case policy, you may want to use the Moderations API. The Moderations API can help reduce the frequency of unsafe content in your completions source (https://platform.openai.com/docs/guides/safety-best-practices).
As for the cost, the Moderation endpoint and content filter are both free for OpenAI API users, and usage of these tools doesn't count towards your monthly usage limits. The moderation endpoint is free to use when monitoring the inputs and outputs of OpenAI APIs source (https://help.openai.com/en/articles/4936833-are-the-moderation-endpoint-and-content-filter-free-to-use). However, if the AI decides to refuse a desired generation, you would be charged for the tokens generated to inform the user that their action is not permitted source (https://community.openai.com/t/424755).
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willow imp
@robust matrix I need help understanding how the gpt-4-1106-preview chat completion API works in how it deals with the conversational context.
I have a series of text files whose contents are concatenated into the message payloads for the api call. Some are instructions that make up a lengthy message for the system role's content. The user's prompt is added to a transcript file, and that file is the message content for the user's role. When the reply comes back, it is appended to the transcript. The user's next prompt is appended to the transcript, and the whole transcript is sent as the user's role content's message.
But something isn't working right, because not infrequently the gpt's response is it's own response, followed by the user's next prompt written by the gpt model. As if it's writing the whole conversation, not merely its own half.
Clearly, I do not understand some of the inner workings. I've asked ChatGPT-4 to explain, but I'm not sure that I understand it, nor am I sure that it is equipped to properly explain its own inner workings accurately or well.
Help?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
The GPT-4-1106-preview model, like other GPT models, generates text based on the input it receives. It doesn't have a memory of past requests or responses, so it relies on the conversation history provided in the current request to generate a response.
When you use the chat completion API, you send a series of messages as input. Each message has a role (which can be 'system', 'user', or 'assistant') and content (which is the text of the message). The messages are processed in the order they are received, and the assistant generates a response based on all the preceding messages.
If you're seeing the assistant's response followed by the user's next prompt, it might be because the assistant is predicting what the user will say next based on the conversation history. This could happen if the conversation history (including the user's next prompt) is included in the 'user' message content.
To avoid this, you should only include the user's current prompt in the 'user' message content, not the entire conversation history. The conversation history should be included as separate 'user' and 'assistant' messages.
Here's an example of how to structure the messages:
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
In this example, each message is separate, and the assistant's response is based on all the preceding messages. The user's next prompt ("Where was it played?") is not included in the assistant's message content.
If you're still having issues, it might be helpful to share a specific example of the input you're sending to the API and the output you're getting. That way, we can help you troubleshoot the issue more effectively. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix If I want to store previous user prompts and assistant responses in a text document, and use that document to establish the conversation's history, would I need to parse it into a message payload entry by entry?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Yes, if you want to use a text document to establish the conversation's history, you would need to parse it into a message payload entry by entry. Each entry should be a dictionary with two properties: role and content. The role can be 'system', 'user', or 'assistant', and content is the text of the message from the role.
Here's an example of how you can structure your conversation:
conversation_history = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hi my name is Saif"},
{"role": "assistant", "content": "Hello Saif, how can I assist you today?"}
]
In this example, the conversation history is a list of dictionaries. Each dictionary represents a message in the conversation. The 'role' key specifies who is speaking, and the 'content' key specifies what they are saying.
When you make a call to the API, you would include this conversation history in the messages parameter:
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=conversation_history
)
After the assistant responds, you would append the assistant's response to the conversation history:
conversation_history.append({"role": "assistant", "content": response['choices'][0]['message']['content']})
Then, for the next user prompt, you would append the user's message to the conversation history and pass the updated conversation history to the API.
This way, the assistant has access to the entire conversation history and can generate responses that are contextually relevant. source (https://community.openai.com/t/576788)
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willow imp
@robust matrix If I have a lot of disparate instructions for how I want the gpt model to behave, they would be system messages. How would I deliver a lot of instructions? One "role": "system", "content": message at a time, several of them line by line, or as a single long message in one line?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
You can deliver multiple instructions to the GPT model as a single system message or as multiple system messages. However, it's important to note that the model reads the messages in the order they are given. So, if you have multiple system messages, the later ones might have more influence on the model's behavior.
Here's an example of multiple instructions in a single system message:
messages=[
{{"role": "system", "content": "You are a helpful assistant. Speak like Shakespeare. Make at least one joke in every paragraph."}},
{{"role": "user", "content": "Tell me a joke"}}
]
And here's an example of multiple system messages:
messages=[
{{"role": "system", "content": "You are a helpful assistant."}},
{{"role": "system", "content": "Speak like Shakespeare."}},
{{"role": "system", "content": "Make at least one joke in every paragraph."}},
{{"role": "user", "content": "Tell me a joke"}}
]
In both cases, the model will try to follow all the instructions, but the exact behavior might vary depending on the complexity and specificity of the instructions. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix When a user's message is several paragraphs long, or an assistant reply is several paragraphs long, how should those be formatted?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
When a user's message or an assistant's reply is several paragraphs long, you can simply include the entire text as the content of the message. The text can include newline characters (\n) to separate the paragraphs. Here's an example:
messages=[
{{"role": "system", "content": "You are a helpful assistant."}},
{{"role": "user", "content": "This is the first paragraph of my message.\n\nThis is the second paragraph."}},
{{"role": "assistant", "content": "This is the first paragraph of my response.\n\nThis is the second paragraph."}}
]
In this example, the user's message and the assistant's response each include two paragraphs. The paragraphs are separated by newline characters (\n\n). source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix Do any other roles exist for chat completion models like gpt-4-1106-preview?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Based on the information provided in the extracts, the roles that exist for chat completion models like gpt-4-1106-preview are 'system', 'user', and 'assistant'.
- The 'system' role is used to set the behavior of the assistant.
- The 'user' role is used to provide requests or comments for the assistant to respond to.
- The 'assistant' role is used to store previous assistant responses.
There is no mention of any other roles in the provided extracts. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix Can the user design new roles?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Based on the information provided in the extracts, the roles for the chat completion models are predefined and include 'system', 'user', and 'assistant'. There is no mention of the ability for users to create or design new roles. The role of a message is used by the model to understand the context and generate appropriate responses. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix Can I have several user messages in a row, rather than alternating user and assistant messages? Or will the gpt model not understand that?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Yes, you can have several user messages in a row. The GPT model will consider all the messages in the order they are given, regardless of whether they alternate between 'user' and 'assistant'. Here's an example:
messages=[
{{"role": "system", "content": "You are a helpful assistant."}},
{{"role": "user", "content": "Tell me a joke"}},
{{"role": "user", "content": "Tell me another joke"}},
{{"role": "user", "content": "And another one"}}
]
In this example, there are three user messages in a row. The model will generate a response based on all these messages. However, keep in mind that the model doesn't have a memory of past requests or responses outside of the current request, so it's important to include all relevant conversation history in the messages parameter. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix I used ChatGPT-4 to run a D&D 5e solo campaign. All of my instructions to the GPT-4 model for how to run the campaign would have been part of the user messages, and the model did a fantastic job of running the game. As I shifted gears to using the api to build a better gamemaster interface, I assumed that my instructions from the ChatGPT-4 experiment would more properly belong in the system messages. What I can't tell now is whether that's true. What do you think: are my "how to run the game" instructions better as system messages or user messages?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Your "how to run the game" instructions can be included as either system messages or user messages, depending on the specific context and requirements of your game.
System Messages: If your instructions are general guidelines that apply to the entire game, it might be more appropriate to include them as a system message. The system message sets the behavior of the assistant and is typically the first message in a conversation. For example, you could use a system message to tell the model that it's a dungeon master in a D&D game.
messages=[
{{"role": "system", "content": "You are the dungeon master in a D&D game."}},
{{"role": "user", "content": "I enter the dungeon"}}
]
User Messages: If your instructions are specific to a particular situation or action in the game, it might be more appropriate to include them as user messages. The user messages provide requests or comments for the assistant to respond to. For example, you could use a user message to tell the model to describe the dungeon when the player enters it.
messages=[
{{"role": "system", "content": "You are the dungeon master in a D&D game."}},
{{"role": "user", "content": "Describe the dungeon as I enter it"}}
]
In both cases, the model will try to follow the instructions and generate a response based on the conversation history. However, the exact behavior might vary depending on the complexity and specificity of the instructions. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix When you say the system message is usually the first in the conversation, isn't it important to observe that a human conversation begins with a statement like, "We're here for lunch," and that such a system message is given exactly once? Whereas with the chat completion model, that system statement that is the start of the conversation is reiterated with every new statement?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Yes, you're correct. In a typical human conversation, the context or purpose of the conversation is usually established once at the beginning. However, in the case of the Chat Completions API, the model doesn't have a memory of past requests or responses. Therefore, it relies on the conversation history provided in the current request to generate a response.
The system message, which often sets the context or behavior of the assistant, is included in each request to ensure that the model has the necessary context to generate an appropriate response. This is why the system message is often reiterated with every new statement.
However, it's important to note that the system message is optional. If it's not included, the model’s behavior is likely to be similar to using a generic message such as "You are a helpful assistant."
Here's an example of how you can structure your messages:
messages=[
{{"role": "system", "content": "You are a helpful assistant."}},
{{"role": "user", "content": "Who won the world series in 2020?"}},
{{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."}},
{{"role": "user", "content": "Where was it played?"}}
]
In this example, the system message is included in each request, and the assistant generates a response based on all the preceding messages. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix I learned from ChatGPT-4 that the LLM thinks that human beings enjoy games more when they are winning. This meant that it fudged dice rolls in my favor, and it didn't allow for failed rolls to result in a meaningful loss. This is a sub-par roleplaying game experience.
So, if I needed to make sure that the GPT-4 model is going to run the D&D 5e solo campaign with a less forgiving attitude, is that kind of instruction better off as a system instruction, or better off as an early user message?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
If you want the GPT-4 model to run the D&D 5e solo campaign with a less forgiving attitude, you can include this instruction as either a system message or an early user message. Both approaches can work, but they might influence the model's behavior in slightly different ways.
System Message: If you include the instruction as a system message, it sets the overall behavior of the assistant for the entire game. This could be useful if you want the less forgiving attitude to be a consistent aspect of the game.
messages=[
{{"role": "system", "content": "You are the dungeon master in a D&D game. Run the game with a less forgiving attitude and do not fudge dice rolls in the player's favor."}},
{{"role": "user", "content": "I enter the dungeon"}}
]
User Message: If you include the instruction as a user message, it acts as a specific request for the assistant to respond to. This could be useful if you want the less forgiving attitude to apply to a specific situation or action in the game.
messages=[
{{"role": "system", "content": "You are the dungeon master in a D&D game."}},
{{"role": "user", "content": "Run the game with a less forgiving attitude and do not fudge dice rolls in my favor"}},
{{"role": "user", "content": "I enter the dungeon"}}
]
In both cases, the model will try to follow the instruction and generate a response based on the conversation history. However, the exact behavior might vary depending on the complexity and specificity of the instruction. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix If I tell the GPT-4 model in a prompt that my middle name is Matthew, then later ask about my middle name, it has a reasonable chance of responding correctly; user messages are part of it's "conscious" memory. But if I put my middle name into the system message, can it tell my middle name in conversation?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Yes, if you include your middle name in a system message, the GPT-4 model should be able to recall it in the conversation. The model considers all the messages in the order they are given, regardless of whether they are system, user, or assistant messages. Here's an example:
messages=[
{{"role": "system", "content": "The user's middle name is Matthew."}},
{{"role": "user", "content": "What is my middle name?"}}
]
In this example, the system message informs the model that the user's middle name is Matthew. When the user later asks about their middle name, the model should be able to recall this information from the system message and respond correctly. However, it's important to note that the model's ability to recall information can depend on the complexity and length of the conversation. source (https://platform.openai.com/docs/guides/text-generation)
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willow imp
@robust matrix If multiple system messages are included in the beginning of a message payload, will they all be read? Or is only the first or last retained?
robust matrixBOT
Let me check the knowledge base for you. One moment! :books:
Yes, if multiple system messages are included in the beginning of a message payload, they will all be read by the model. The GPT model considers all the messages in the order they are given, regardless of whether they are system, user, or assistant messages. However, it's important to note that the later messages might have more influence on the model's behavior. Here's an example:
messages=[
{{"role": "system", "content": "You are a helpful assistant."}},
{{"role": "system", "content": "Speak like Shakespeare."}},
{{"role": "system", "content": "Make at least one joke in every paragraph."}},
{{"role": "user", "content": "Tell me a joke"}}
]