Files
ChipmunkandGitHub 5d9e5ac30e server : support slot save/restore with media inputs (#26640)
* server : save serialized image chunks at the end of the llama state

* server : support multimodal slot state save/restore with packed payload

* server : refine image slot state serialization

* server : support media slot state and centralize media validation

* server : remove unnecessary comment

* server : remove defensive media checks and move the chunk type check to validate()
2026-08-12 12:20:28 +02:00

530 lines
18 KiB
Python

import pytest
from utils import *
import base64
import requests
import struct
# sequence state file: magic(4) version(4) payload_size(4), then payload_size llama_token words
STATE_FILE_HEADER_SIZE = 12
server = ServerPreset.tinyllama2()
@pytest.fixture(autouse=True)
def create_server():
global server
server = ServerPreset.tinyllama2()
server.slot_save_path = "./tmp"
server.temperature = 0.0
def test_slot_save_restore():
global server
server.start()
# First prompt in slot 1 should be fully processed
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of France?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Whiskers|Flana)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 21 # all tokens are processed
# Save state of slot 1
res = server.make_request("POST", "/slots/1?action=save", data={
"filename": "slot1.bin",
})
assert res.status_code == 200
assert res.body["n_saved"] == 84
# Since we have cache, this should only process the last tokens
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of Germany?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Jack|said)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 6 # only different part is processed
# Loading the saved cache into slot 0
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "slot1.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == 84
# Since we have cache, slot 0 should only process the last tokens
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of Germany?",
"id_slot": 0,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Jack|said)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 6 # only different part is processed
# For verification that slot 1 was not corrupted during slot 0 load, same thing should work
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of Germany?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Jack|said)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 1
def test_slot_restore_legacy_token_list():
global server
server.start()
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of France?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
res = server.make_request("POST", "/slots/1?action=save", data={
"filename": "slot_legacy.bin",
})
assert res.status_code == 200
assert res.body["n_saved"] == 84
# rewrite the token payload into a plain token list, as written by servers that predate the packed server_tokens format
path = os.path.join("tmp", "slot_legacy.bin")
with open(path, "rb") as f:
data = bytearray(f.read())
# the payload written by this server starts with a packed header: LLAMA_TOKEN_NULL(4) version(4) n_tokens(4)
packed_header_size = 12
payload_size = struct.unpack_from("=I", data, STATE_FILE_HEADER_SIZE - 4)[0]
payload_end = STATE_FILE_HEADER_SIZE + payload_size * 4
n_tokens = struct.unpack_from("=I", data, STATE_FILE_HEADER_SIZE + 8)[0]
assert n_tokens == 84
tokens_start = STATE_FILE_HEADER_SIZE + packed_header_size
data = data[:STATE_FILE_HEADER_SIZE] + data[tokens_start:tokens_start + n_tokens * 4] + data[payload_end:]
struct.pack_into("=I", data, STATE_FILE_HEADER_SIZE - 4, n_tokens)
with open(path, "wb") as f:
f.write(data)
# the plain token list must restore, and the restored KV must be reusable
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "slot_legacy.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == 84
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of Germany?",
"id_slot": 0,
"cache_prompt": True,
})
assert res.status_code == 200
assert res.body["timings"]["prompt_n"] == 6 # only the different part is processed
def test_slot_erase():
global server
server.start()
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of France?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Whiskers|Flana)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 21 # all tokens are processed
# erase slot 1
res = server.make_request("POST", "/slots/1?action=erase")
assert res.status_code == 200
# re-run the same prompt, it should process all tokens again
res = server.make_request("POST", "/completion", data={
"prompt": "What is the capital of France?",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
assert match_regex("(Whiskers|Flana)+", res.body["content"])
assert res.body["timings"]["prompt_n"] == 21 # all tokens are processed
#
# Multimodal server (mmproj loaded) slot save/restore.
#
# A pure-text slot on a multimodal server and a slot containing images must both support save/restore.
# Erase remains gated on the slot's content.
#
IMG_URL_CAT = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/91_cat.png"
IMG_URL_TRUCK = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/test/11_truck.png"
def _get_img_base64(url: str) -> str:
response = requests.get(url)
response.raise_for_status() # Raise an exception for bad status codes
return base64.b64encode(response.content).decode("utf-8")
@pytest.fixture
def mmproj_server():
# tinygemma3 is a small multimodal model: the mmproj is provided by the HF registry API and auto-downloaded on first run.
os.environ['LLAMA_MEDIA_MARKER'] = '<__media__>'
mm_server = ServerPreset.tinygemma3()
mm_server.slot_save_path = "./tmp"
mm_server.temperature = 0.0
return mm_server
def test_slot_save_restore_text_only_on_multimodal(mmproj_server):
server = mmproj_server
server.start()
# A pure-text prompt processed on slot 1 of a multimodal server.
res = server.make_request("POST", "/completion", data={
"prompt": "The quick brown fox jumps over the lazy dog.",
"id_slot": 1,
"cache_prompt": True,
})
assert res.status_code == 200
prompt_n = res.body["timings"]["prompt_n"]
assert prompt_n > 0 # all tokens are processed
# Saving a pure-text slot must succeed even though an mmproj is loaded.
res = server.make_request("POST", "/slots/1?action=save", data={
"filename": "mm_slot1.bin",
})
assert res.status_code == 200
n_saved = res.body["n_saved"]
assert n_saved > 0 # the slot KV (prompt + generated tokens) was written
# Restore the saved state into slot 0; it must round-trip exactly.
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot1.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == n_saved
# Prefix reuse is not checked with the default SWA cache.
res = server.make_request("POST", "/completion", data={
"prompt": "The quick brown fox jumps over the lazy dog.",
"id_slot": 0,
"cache_prompt": True,
})
assert res.status_code == 200
def test_slot_save_restore_with_image(mmproj_server):
server = mmproj_server
# Use the full SWA cache so the restored image prefix can be reused.
server.swa_full = True
server.start()
prompt_cat = {
"prompt_string": "What is this: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_CAT)],
}
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 1,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
content_cat = res.body["content"]
prompt_n_full = res.body["timings"]["prompt_n"]
assert res.body["timings"]["cache_n"] == 0
assert prompt_n_full > 32 # text plus image tokens are all processed
res = server.make_request("POST", "/slots/1?action=save", data={
"filename": "mm_slot_image.bin",
})
assert res.status_code == 200
n_saved = res.body["n_saved"]
n_written = res.body["n_written"]
assert n_saved > 0
assert n_written > 0
res = server.make_request("POST", "/slots/1?action=erase")
assert res.status_code == 200
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_image.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == n_saved
assert res.body["n_read"] == n_written
# a different image must not reuse the restored image tokens; only the text prefix before the image is common
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": {
"prompt_string": "What is this: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_TRUCK)],
},
})
assert res.status_code == 200
cache_n = res.body["timings"]["cache_n"]
assert cache_n < 16
assert res.body["timings"]["prompt_n"] == prompt_n_full - cache_n
# restore again and resend the same image: the image tokens must be reused and greedy sampling must reproduce the original content
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_image.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == n_saved
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
assert res.body["timings"]["cache_n"] == prompt_n_full - 1
assert res.body["timings"]["prompt_n"] == 1
assert res.body["content"] == content_cat
def test_slot_save_restore_with_two_images(mmproj_server):
server = mmproj_server
server.swa_full = True
server.n_ctx = 2048 # two images need more than the default 512 per slot
server.start()
prompt = {
"prompt_string": "A: <__media__> B: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_CAT), _get_img_base64(IMG_URL_TRUCK)],
}
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 1,
"cache_prompt": True,
"prompt": prompt,
})
assert res.status_code == 200
content = res.body["content"]
prompt_n_full = res.body["timings"]["prompt_n"]
assert prompt_n_full > 64
res = server.make_request("POST", "/slots/1?action=save", data={
"filename": "mm_slot_two_images.bin",
})
assert res.status_code == 200
n_saved = res.body["n_saved"]
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_two_images.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == n_saved
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt,
})
assert res.status_code == 200
assert res.body["timings"]["cache_n"] == prompt_n_full - 1
assert res.body["timings"]["prompt_n"] == 1
assert res.body["content"] == content
def test_slot_save_restore_with_image_across_restart(mmproj_server):
server = mmproj_server
server.swa_full = True
server.start()
prompt_cat = {
"prompt_string": "What is this: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_CAT)],
}
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
content = res.body["content"]
prompt_n_full = res.body["timings"]["prompt_n"]
res = server.make_request("POST", "/slots/0?action=save", data={
"filename": "mm_slot_restart.bin",
})
assert res.status_code == 200
n_saved = res.body["n_saved"]
# restart the server with the same model and mmproj: the saved file must restore in the new process and the image KV must be reused
server.stop()
server.start()
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_restart.bin",
})
assert res.status_code == 200
assert res.body["n_restored"] == n_saved
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
assert res.body["timings"]["cache_n"] == prompt_n_full - 1
assert res.body["timings"]["prompt_n"] == 1
assert res.body["content"] == content
def test_slot_save_restore_image_payload_larger_than_context(mmproj_server):
server = mmproj_server
server.swa_full = True
server.start()
# the slot context, as the server computed it (n_ctx split across the slots)
res = server.make_request("GET", "/props")
assert res.status_code == 200
n_ctx_slot = res.body["default_generation_settings"]["n_ctx"]
# a filler token, used to grow the prompt up to the slot context
res = server.make_request("POST", "/tokenize", data={"content": " hello" * 8})
assert res.status_code == 200
assert len(res.body["tokens"]) == 8
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": {
"prompt_string": "What is this: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_CAT)],
},
})
assert res.status_code == 200
prompt_cat = {
"prompt_string": "What is this: <__media__>\n" + " hello" * (n_ctx_slot - res.body["timings"]["prompt_n"] - 8),
"multimodal_data": [_get_img_base64(IMG_URL_CAT)],
}
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
prompt_n_full = res.body["timings"]["cache_n"] + res.body["timings"]["prompt_n"]
res = server.make_request("POST", "/slots/0?action=save", data={
"filename": "mm_slot_large_payload.bin",
})
assert res.status_code == 200
path = os.path.join("tmp", "mm_slot_large_payload.bin")
with open(path, "rb") as f:
data = bytearray(f.read())
payload_size = struct.unpack_from("=I", data, STATE_FILE_HEADER_SIZE - 4)[0]
assert payload_size > n_ctx_slot # the scenario under test: the payload does not fit in n_ctx
# drop the image from the slot, then restore it from the file
res = server.make_request("POST", "/completion", data={
"prompt": "The quick brown fox",
"id_slot": 0,
"cache_prompt": True,
})
assert res.status_code == 200
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_large_payload.bin",
})
assert res.status_code == 200
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": prompt_cat,
})
assert res.status_code == 200
assert res.body["timings"]["cache_n"] == prompt_n_full - 1
assert res.body["timings"]["prompt_n"] == 1
def test_slot_restore_media_file_without_mmproj(mmproj_server):
server = mmproj_server
server.start()
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": {
"prompt_string": "What is this: <__media__>\n",
"multimodal_data": [_get_img_base64(IMG_URL_CAT)],
},
})
assert res.status_code == 200
res = server.make_request("POST", "/slots/0?action=save", data={
"filename": "mm_slot_no_mmproj.bin",
})
assert res.status_code == 200
# restart the same model without the mmproj: restoring the media file must fail gracefully and leave the slot usable
server.stop()
server.no_mmproj = True
server.start()
res = server.make_request("POST", "/slots/0?action=restore", data={
"filename": "mm_slot_no_mmproj.bin",
})
assert res.status_code == 400
assert "Cannot restore media tokens without an mmproj" in res.body["error"]["message"]
# A failed restore must leave the slot empty and usable.
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 1,
"cache_prompt": True,
"prompt": "The quick brown fox",
})
assert res.status_code == 200
content = res.body["content"]
res = server.make_request("POST", "/completions", data={
"temperature": 0.0,
"top_k": 1,
"id_slot": 0,
"cache_prompt": True,
"prompt": "The quick brown fox",
})
assert res.status_code == 200
assert res.body["timings"]["cache_n"] == 0
assert res.body["content"] == content