Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Feature Request: Allow Filtering LLama Server Response Fields #10819

Open
4 tasks done
mcmah309 opened this issue Dec 13, 2024 · 4 comments
Open
4 tasks done

Feature Request: Allow Filtering LLama Server Response Fields #10819

mcmah309 opened this issue Dec 13, 2024 · 4 comments
Labels
enhancement New feature or request good first issue Good for newcomers

Comments

@mcmah309
Copy link

mcmah309 commented Dec 13, 2024

Prerequisites

  • I am running the latest code. Mention the version if possible as well.
  • I carefully followed the README.md.
  • I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
  • I reviewed the Discussions, and have a new and useful enhancement to share.

Feature Description

Currently llama.cpp server serializes a lot of data the caller may not care about. Example response:

{
    "index": 0,
    "content": "[\n                {\n                  \"function_name\": \"create_user\",\n                  \"username\": \"my_user\",\n                  \"email\": \"[email protected]\",\n                  \"password\": \"password123\"\n                }\n              ]\n            \t\t\t\t\t\t\t\t",
    "id_slot": 0,
    "stop": true,
    "model": "gpt-3.5-turbo-0613",
    "tokens_predicted": 76,
    "tokens_evaluated": 5,
    "generation_settings": {
        "n_predict": -1,
        "seed": 4294967295,
        "temperature": 0.800000011920929,
        "dynatemp_range": 0.0,
        "dynatemp_exponent": 1.0,
        "top_k": 40,
        "top_p": 0.949999988079071,
        "min_p": 0.05000000074505806,
        "xtc_probability": 0.0,
        "xtc_threshold": 0.10000000149011612,
        "typical_p": 1.0,
        "repeat_last_n": 64,
        "repeat_penalty": 1.0,
        "presence_penalty": 0.0,
        "frequency_penalty": 0.0,
        "dry_multiplier": 0.0,
        "dry_base": 1.75,
        "dry_allowed_length": 2,
        "dry_penalty_last_n": -1,
        "dry_sequence_breakers": [
            "\n",
            ":",
            "\"",
            "*"
        ],
        "mirostat": 0,
        "mirostat_tau": 5.0,
        "mirostat_eta": 0.10000000149011612,
        "penalize_nl": false,
        "stop": [],
        "max_tokens": -1,
        "n_keep": 0,
        "n_discard": 0,
        "ignore_eos": false,
        "stream": false,
        "logit_bias": [],
        "n_probs": 0,
        "min_keep": 0,
        "grammar": "char ::= [^\"\\\\\\x7F\\x00-\\x1F] | [\\\\] ([\"\\\\bfnrt] | \"u\" [0-9a-fA-F]{4})\ndecimal-part ::= [0-9]{1,16}\nintegral-part ::= [0] | [1-9] [0-9]{0,15}\nitem ::= item-0 | item-1 | item-2\nitem-0 ::= \"{\" space item-0-function-name-kv \",\" space item-0-items-kv ( \",\" space ( item-0-tax-rate-kv ) )? \"}\" space\nitem-0-function-name ::= \"\\\"calculate_total\\\"\" space\nitem-0-function-name-kv ::= \"\\\"function_name\\\"\" space \":\" space item-0-function-name\nitem-0-items ::= \"[\" space (item-0-items-item (\",\" space item-0-items-item)*)? \"]\" space\nitem-0-items-item ::= \"{\" space item-0-items-item-name-kv \",\" space item-0-items-item-price-kv \"}\" space\nitem-0-items-item-name-kv ::= \"\\\"name\\\"\" space \":\" space string\nitem-0-items-item-price-kv ::= \"\\\"price\\\"\" space \":\" space number\nitem-0-items-kv ::= \"\\\"items\\\"\" space \":\" space item-0-items\nitem-0-tax-rate-kv ::= \"\\\"tax_rate\\\"\" space \":\" space number\nitem-1 ::= \"{\" space item-1-function-name-kv \",\" space item-1-to-kv \",\" space item-1-subject-kv \",\" space item-1-body-kv ( \",\" space ( item-1-attachments-kv ) )? \"}\" space\nitem-1-attachments ::= \"[\" space (item-1-attachments-item (\",\" space item-1-attachments-item)*)? \"]\" space\nitem-1-attachments-item ::= \"{\" space item-1-attachments-item-filename-kv \",\" space item-1-attachments-item-content-kv \"}\" space\nitem-1-attachments-item-content-kv ::= \"\\\"content\\\"\" space \":\" space string\nitem-1-attachments-item-filename-kv ::= \"\\\"filename\\\"\" space \":\" space string\nitem-1-attachments-kv ::= \"\\\"attachments\\\"\" space \":\" space item-1-attachments\nitem-1-body-kv ::= \"\\\"body\\\"\" space \":\" space string\nitem-1-function-name ::= \"\\\"send_email\\\"\" space\nitem-1-function-name-kv ::= \"\\\"function_name\\\"\" space \":\" space item-1-function-name\nitem-1-subject-kv ::= \"\\\"subject\\\"\" space \":\" space string\nitem-1-to-kv ::= \"\\\"to\\\"\" space \":\" space string\nitem-2 ::= \"{\" space item-2-function-name-kv \",\" space item-2-username-kv \",\" space item-2-email-kv \",\" space item-2-password-kv ( \",\" space ( item-2-role-kv ) )? \"}\" space\nitem-2-email-kv ::= \"\\\"email\\\"\" space \":\" space string\nitem-2-function-name ::= \"\\\"create_user\\\"\" space\nitem-2-function-name-kv ::= \"\\\"function_name\\\"\" space \":\" space item-2-function-name\nitem-2-password ::= \"\\\"\" char{8,} \"\\\"\" space\nitem-2-password-kv ::= \"\\\"password\\\"\" space \":\" space item-2-password\nitem-2-role ::= (\"\\\"admin\\\"\" | \"\\\"user\\\"\" | \"\\\"editor\\\"\") space\nitem-2-role-kv ::= \"\\\"role\\\"\" space \":\" space item-2-role\nitem-2-username-kv ::= \"\\\"username\\\"\" space \":\" space string\nnumber ::= (\"-\"? integral-part) (\".\" decimal-part)? ([eE] [-+]? integral-part)? space\nroot ::= \"[\" space item (\",\" space item){0,0} \"]\" space\nspace ::= | \" \" | \"\\n\" [ \\t]{0,20}\nstring ::= \"\\\"\" char* \"\\\"\" space\n",
        "samplers": [
            "dry",
            "top_k",
            "typ_p",
            "top_p",
            "min_p",
            "xtc",
            "temperature"
        ],
        "speculative.n_max": 16,
        "speculative.n_min": 5,
        "speculative.p_min": 0.8999999761581421,
        "timings_per_token": false
    },
    "prompt": "<s> Create a new user",
    "has_new_line": 1,
    "truncated": false,
    "stop_type": "eos",
    "stopping_word": "",
    "tokens_cached": 80,
    "timings": {
        "prompt_n": 1,
        "prompt_ms": 46.258,
        "prompt_per_token_ms": 46.258,
        "prompt_per_second": 21.617882312248693,
        "predicted_n": 76,
        "predicted_ms": 1864.038,
        "predicted_per_token_ms": 24.526815789473684,
        "predicted_per_second": 40.77170100609537
    }
}

It would be more efficient if the request took a requested_fields param that would then filtered on the server side. e.g. "requested_fields" : ["content"] would only return

{
    "content": "[\n                {\n                  \"function_name\": \"create_user\",\n                  \"username\": \"my_user\",\n                  \"email\": \"[email protected]\",\n                  \"password\": \"password123\"\n                }\n              ]\n            \t\t\t\t\t\t\t\t",
}

Motivation

Serialization and de-serialization can become a bottleneck in high throughput environments and increase latency.

Possible Implementation

No response

@mcmah309 mcmah309 added the enhancement New feature or request label Dec 13, 2024
@ggerganov ggerganov added the good first issue Good for newcomers label Dec 14, 2024
@ggerganov
Copy link
Owner

I think this feature would be useful.

@ngxson
Copy link
Collaborator

ngxson commented Dec 14, 2024

One way to implement this is to specify an option in the request, let's say "returned_fields": ["content", "timings", ...]

Although, with the upcoming OAI-compat support for /v1/completions, this may not really needed

@nvrxq
Copy link

nvrxq commented Dec 15, 2024

Hello,
I would like to try to implement this feature, I already have a PR. Is it still relevant?

@ngxson
Copy link
Collaborator

ngxson commented Dec 15, 2024

if you already had a PR to resolve this issue, please link it here using keyword

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request good first issue Good for newcomers
Projects
None yet
Development

No branches or pull requests

4 participants