A local-first private AI assistant for everyday use. Runs on-device models with encrypted P2P sync, and supports sharing chats publicly on ATProto.
fix: added pre-install script + log cleanup + removed HF deps
- pre-install script to remove prev server folder by the installer
- removed iroh error logs showing in release build
- removed HF deps as downloader is done via RUST
+238
-561
+2
-2
modelfiles/qwen
+2
-2
modelfiles/qwen
+6
pkg/scripts/preinstall
+6
pkg/scripts/preinstall
-7
server/api.py
-7
server/api.py
···
7
7
from pydantic import BaseModel, Field
8
8
9
9
from . import runtime
10
-
from .hf_downloader import pull_model
11
10
from .mem_agent.engine import execute_sandboxed_code
12
11
from .mem_agent.utils import (
13
12
create_memory_if_not_exists,
···
35
34
@app.get("/ping")
36
35
async def ping():
37
36
return {"message": "Badda-Bing Badda-Bang"}
38
-
39
-
40
-
@app.post("/download")
41
-
async def download(request: downloadRequest):
42
-
"""Download the model"""
43
-
runtime.backend.download_model(request.model)
44
37
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38
46
39
@app.post("/start")
-10
server/backend/mlx.py
-10
server/backend/mlx.py
···
24
24
from ..reasoning_utils import ReasoningExtractor
25
25
26
26
from ..cache_utils import get_model_path
27
-
from ..hf_downloader import pull_model
28
27
from ..schemas import (
29
28
ChatCompletionRequest,
30
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ChatMessage,
31
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GenerationMetrics,
32
31
ResponsesRequest,
33
32
ResponsesResponse,
34
-
downloadRequest,
35
33
)
36
34
from .mlx_runner import MLXRunner
37
35
···
44
42
_current_model_path: Optional[str] = None
45
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# Store generated responses for follow-up support (previous_response_id)
46
44
_responses: Dict[str, ResponsesResponse] = {}
47
-
48
-
49
-
def download_model(model_name: str):
50
-
"""Download the model"""
51
-
if pull_model(model_name):
52
-
return {"message": "Model downloaded"}
53
-
else:
54
-
raise HTTPException(status_code=400, detail="Downloading model failed")
55
45
56
46
57
47
def get_or_load_model(
-145
server/hf_downloader.py
-145
server/hf_downloader.py
···
1
-
import json
2
-
import os
3
-
import subprocess
4
-
import sys
5
-
import tempfile
6
-
7
-
try:
8
-
from .cache_utils import (
9
-
MODEL_CACHE,
10
-
hf_to_cache_dir,
11
-
is_model_healthy,
12
-
parse_model_spec,
13
-
)
14
-
except ImportError:
15
-
from pathlib import Path
16
-
def parse_model_spec(x): return (x, None)
17
-
def hf_to_cache_dir(x): return x
18
-
if "HF_HOME" in os.environ:
19
-
MODEL_CACHE = Path(os.environ["HF_HOME"]) / "hub"
20
-
else:
21
-
MODEL_CACHE = Path(os.path.expanduser("~/.cache/huggingface/hub"))
22
-
def is_model_healthy(x): return False
23
-
24
-
def describe_http_exception(exc):
25
-
if hasattr(exc, "response") and exc.response is not None:
26
-
status = getattr(exc.response, "status_code", None)
27
-
url = getattr(exc.response, "url", None)
28
-
if status == 401:
29
-
return f"[ERROR] Unauthorized (401): Check your HuggingFace token or login.\nURL: {url}"
30
-
elif status == 403:
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return f"[ERROR] Forbidden (403): Access denied.\nURL: {url}"
32
-
elif status == 404:
33
-
return f"[ERROR] Not Found (404): Resource does not exist.\nURL: {url}"
34
-
elif status >= 500:
35
-
return f"[ERROR] Server Error ({status}): Problem on HuggingFace's side.\nURL: {url}\nTry again later."
36
-
else:
37
-
return f"[ERROR] HTTP Error {status}: {exc}\nURL: {url}"
38
-
return f"[ERROR] HTTP Error: {exc}"
39
-
40
-
def configure_download_environment():
41
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os.environ['HF_HUB_DOWNLOAD_THREADS'] = '1'
42
-
os.environ['HF_HUB_DOWNLOAD_CHUNK_SIZE'] = '524288' # 512KB chunks for household-friendly downloads
43
-
os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = 'false'
44
-
45
-
def pull_model(model_spec):
46
-
original_spec = model_spec
47
-
model_name, commit_hash = parse_model_spec(model_spec)
48
-
49
-
# Validate HuggingFace Hub repository name length limit (Issue #6)
50
-
if len(model_name) > 96:
51
-
print(f"[ERROR] Repository name exceeds HuggingFace Hub limit: {len(model_name)}/96 characters")
52
-
print("Repository names longer than 96 characters cannot exist on HuggingFace Hub.")
53
-
print(f"Invalid name: '{model_name}'")
54
-
return False
55
-
56
-
if "/" not in original_spec.split("@")[0] and "/" in model_name:
57
-
confirm = input(f"Download '{model_name}'? [Y/n] ")
58
-
if confirm.lower() == "n":
59
-
print("Download cancelled.")
60
-
return False
61
-
62
-
base_cache_dir = MODEL_CACHE / hf_to_cache_dir(model_name)
63
-
if commit_hash:
64
-
hash_dir = base_cache_dir / "snapshots" / commit_hash
65
-
if hash_dir.exists() and is_model_healthy(f"{model_name}@{commit_hash}"):
66
-
print("Model already exists")
67
-
return True
68
-
else:
69
-
if base_cache_dir.exists() and is_model_healthy(model_name):
70
-
print("Model already exists")
71
-
return True
72
-
73
-
print(f"Downloading {model_name}...")
74
-
75
-
# Build kwargs dict for the worker
76
-
kwargs_dict = {
77
-
"repo_id": model_name,
78
-
"local_dir_use_symlinks": False,
79
-
"max_workers": 1
80
-
}
81
-
if commit_hash:
82
-
kwargs_dict["revision"] = commit_hash
83
-
# if "mlx-community" in model_name:
84
-
kwargs_dict["allow_patterns"] = [
85
-
"*.json", "*.txt", "*.safetensors", "*.md", "*.gitattributes", "LICENSE"
86
-
]
87
-
# if "mlx-community" not in model_name:
88
-
# confirm = input(f"[WARNING] {model_name} is not an MLX model (may be >1GB). Continue? [y/N] ")
89
-
# if confirm.lower() != "y":
90
-
# print("Download cancelled.")
91
-
# return
92
-
93
-
kwargs_str = json.dumps(kwargs_dict, indent=2)
94
-
with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False) as f:
95
-
f.write(kwargs_str)
96
-
kwargs_file = f.name
97
-
98
-
# Call the worker as subprocess with nice priority
99
-
worker_path = os.path.join(os.path.dirname(__file__), "throttled_download_worker.py")
100
-
try:
101
-
result = subprocess.run(
102
-
['nice', '-n', '19', sys.executable, worker_path, kwargs_file],
103
-
check=False
104
-
)
105
-
if result.returncode == 0:
106
-
print("Download completed successfully.")
107
-
return True
108
-
elif result.returncode in (10, 11, 12, 13, 14, 15):
109
-
# Already handled in worker, do NOT retry fallback
110
-
print("[WARNING] Fatal error encountered in throttled download, not attempting fallback.")
111
-
return False
112
-
else:
113
-
print("[WARNING] Throttled download failed or was interrupted.")
114
-
print("Attempting fallback download with standard throttling...")
115
-
try:
116
-
import requests
117
-
from huggingface_hub import snapshot_download
118
-
configure_download_environment()
119
-
snapshot_download(**kwargs_dict)
120
-
print("Download completed successfully.")
121
-
return True
122
-
except requests.exceptions.HTTPError as e:
123
-
print(describe_http_exception(e))
124
-
return False
125
-
except requests.exceptions.ConnectionError:
126
-
print("[ERROR] Network connection error. Please check your internet connection and try again.")
127
-
return False
128
-
except requests.exceptions.Timeout:
129
-
print("[ERROR] Download timed out. Please try again.")
130
-
return False
131
-
except KeyboardInterrupt:
132
-
print("\n[WARNING] Download cancelled by user.")
133
-
return False
134
-
except Exception as e:
135
-
print(f"[ERROR] Unexpected error during fallback download: {type(e).__name__}: {e}")
136
-
return False
137
-
except KeyboardInterrupt:
138
-
print("\n[WARNING] Download cancelled by user.")
139
-
return False
140
-
except ImportError:
141
-
print("huggingface-hub is not installed. Please install it with: pip install huggingface-hub")
142
-
return False
143
-
except Exception as e:
144
-
print(f"[ERROR] Unexpected error: {type(e).__name__}: {e}")
145
-
return False
+6
-4
server/pyproject.toml
+6
-4
server/pyproject.toml
···
4
4
description = "Local MLX inference server for the Tiles CLI"
5
5
requires-python = "==3.13.*"
6
6
dependencies = [
7
-
"fastapi",
8
-
"uvicorn",
7
+
"fastapi==0.119.0",
8
+
"uvicorn==0.38.0",
9
9
"mlx-lm==0.31.0",
10
-
"black",
11
-
"huggingface-hub==1.8.0",
10
+
"black==25.9.0",
12
11
"openai-harmony==0.0.8",
13
12
"openresponses-types"
14
13
]
···
19
18
20
19
[tool.setuptools.packages.find]
21
20
exclude = ["backend", "backend.*"]
21
+
22
+
[tool.uv]
23
+
exclude-newer="10 days"
+3
-3
server/stack/requirements/app-server/packages-app-server.txt
+3
-3
server/stack/requirements/app-server/packages-app-server.txt
···
21
21
mdurl==0.1.2
22
22
mlx-lm==0.31.0
23
23
mypy-extensions==1.1.0
24
-
numpy==2.4.3
24
+
numpy==2.4.4
25
25
openai-harmony==0.0.8
26
26
openresponses-types==2.3.0.post1
27
27
packaging==26.0
···
30
30
protobuf==7.34.1
31
31
pydantic==2.12.5
32
32
pydantic-core==2.41.5
33
-
pygments==2.19.2
33
+
pygments==2.20.0
34
34
pytokens==0.4.1
35
35
pyyaml==6.0.3
36
-
regex==2026.2.28
36
+
regex==2026.3.32
37
37
rich==14.3.3
38
38
safetensors==0.7.0
39
39
sentencepiece==0.2.1
+3
-3
server/stack/requirements/app-server/pylock.app-server.meta.json
+3
-3
server/stack/requirements/app-server/pylock.app-server.meta.json
···
1
1
{
2
-
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3
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5
5
"other_inputs_hash": "sha256:63b3c2cfe2ec414938e81dace7aac779c7b902bae681618cd8827e9f16880985",
6
-
"requirements_hash": "sha256:66cb49d89d34db7d344d56fd0120e890faf67adb1f495ebc6b03dcd6a6121c6f",
6
+
"requirements_hash": "sha256:d848ff36972adee8df190ab839a11cd766fcdd9577ae2e24ebbe1f25f9074da3",
7
7
"version_inputs_hash": "sha256:58db986b7cd72eeded675f7c9afd8138fe024fb51451131b5562922bbde3cf43"
8
8
}
+71
-71
server/stack/requirements/app-server/pylock.app-server.toml
+71
-71
server/stack/requirements/app-server/pylock.app-server.toml
···
386
386
387
387
[[packages]]
388
388
name = "numpy"
389
-
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389
+
version = "2.4.4"
390
390
index = "https://pypi.org/simple"
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sha256 = "4e874c976154687c1f71715b034739b45c7711bec81db01914770373d125e392"
455
455
456
456
[[packages]]
457
457
name = "openai-harmony"
···
607
607
608
608
[[packages]]
609
609
name = "pygments"
610
-
version = "2.19.2"
610
+
version = "2.20.0"
611
611
index = "https://pypi.org/simple"
612
612
613
613
[[packages.wheels]]
614
-
url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl"
615
-
upload-time = 2025-06-21T13:39:07Z
616
-
size = 1225217
614
+
url = "https://files.pythonhosted.org/packages/f4/7e/a72dd26f3b0f4f2bf1dd8923c85f7ceb43172af56d63c7383eb62b332364/pygments-2.20.0-py3-none-any.whl"
615
+
upload-time = 2026-03-29T13:29:30Z
616
+
size = 1231151
617
617
618
618
[packages.wheels.hashes]
619
-
sha256 = "86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"
619
+
sha256 = "81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176"
620
620
621
621
[[packages]]
622
622
name = "pytokens"
···
686
686
687
687
[[packages]]
688
688
name = "regex"
689
-
version = "2026.2.28"
689
+
version = "2026.3.32"
690
690
index = "https://pypi.org/simple"
691
691
692
692
[[packages.wheels]]
693
-
url = "https://files.pythonhosted.org/packages/87/f6/dc9ef48c61b79c8201585bf37fa70cd781977da86e466cd94e8e95d2443b/regex-2026.2.28-cp313-cp313-macosx_10_13_universal2.whl"
694
-
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695
-
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693
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url = "https://files.pythonhosted.org/packages/bd/ba/9c1819f302b42b5fbd4139ead6280e9ec37d19bbe33379df0039b2a57bb4/regex-2026.3.32-cp313-cp313-macosx_10_13_universal2.whl"
694
+
upload-time = 2026-03-28T21:46:58Z
695
+
size = 490394
696
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697
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[packages.wheels.hashes]
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-
sha256 = "6d63a07e5ec8ce7184452cb00c41c37b49e67dc4f73b2955b5b8e782ea970784"
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+
sha256 = "c6d9c6e783b348f719b6118bb3f187b2e138e3112576c9679eb458cc8b2e164b"
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[[packages.wheels]]
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702
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upload-time = 2026-02-28T02:17:26Z
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701
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url = "https://files.pythonhosted.org/packages/e7/d8/ba0f8f81f88cd20c0b27acc123561ac5495ea33f800f0b8ebed2038b23eb/regex-2026.3.32-cp313-cp313-macosx_11_0_arm64.whl"
702
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upload-time = 2026-03-28T21:47:02Z
703
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[packages.wheels.hashes]
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-
sha256 = "de0cf053139f96219ccfabb4a8dd2d217c8c82cb206c91d9f109f3f552d6b43d"
706
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sha256 = "844d88509c968dd44b30daeefac72b038b1bf31ac372d5106358ab01d393c48b"
707
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708
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[[packages.wheels]]
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710
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upload-time = 2026-02-28T02:17:35Z
711
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size = 802101
709
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url = "https://files.pythonhosted.org/packages/0f/f8/acf1eb80f58852e85bd39a6ddfa78ce2243ddc8de8da7582e6ba657da593/regex-2026.3.32-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl"
710
+
upload-time = 2026-03-28T21:47:10Z
711
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size = 801536
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[packages.wheels.hashes]
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-
sha256 = "e61eea47230eba62a31f3e8a0e3164d0f37ef9f40529fb2c79361bc6b53d2a92"
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sha256 = "a5d88fa37ba5e8a80ca8d956b9ea03805cfa460223ac94b7d4854ee5e30f3173"
715
715
716
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[[packages.wheels]]
717
-
url = "https://files.pythonhosted.org/packages/05/7a/51cfbad5758f8edae430cb21961a9c8d04bce1dae4d2d18d4186eec7cfa1/regex-2026.2.28-cp313-cp313-musllinux_1_2_x86_64.whl"
718
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upload-time = 2026-02-28T02:17:49Z
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size = 790152
717
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url = "https://files.pythonhosted.org/packages/f4/8e/03d392b26679914ccf21f83d18ad4443232d2f8c3e2c30a962d4e3918d9c/regex-2026.3.32-cp313-cp313-musllinux_1_2_x86_64.whl"
718
+
upload-time = 2026-03-28T21:47:22Z
719
+
size = 788447
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720
721
721
[packages.wheels.hashes]
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-
sha256 = "9185cc63359862a6e80fe97f696e04b0ad9a11c4ac0a4a927f979f611bfe3768"
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724
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[[packages.wheels]]
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url = "https://files.pythonhosted.org/packages/24/07/6c7e4cec1e585959e96cbc24299d97e4437a81173217af54f1804994e911/regex-2026.2.28-cp313-cp313t-macosx_10_13_universal2.whl"
726
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upload-time = 2026-02-28T02:17:56Z
727
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size = 492541
725
+
url = "https://files.pythonhosted.org/packages/58/08/e38372da599dc1c39c599907ec535016d110034bd3701ce36554f59767ef/regex-2026.3.32-cp313-cp313t-macosx_10_13_universal2.whl"
726
+
upload-time = 2026-03-28T21:47:30Z
727
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size = 494495
728
728
729
729
[packages.wheels.hashes]
730
-
sha256 = "97054c55db06ab020342cc0d35d6f62a465fa7662871190175f1ad6c655c028f"
730
+
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731
731
732
732
[[packages.wheels]]
733
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734
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upload-time = 2026-02-28T02:18:00Z
735
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size = 291509
733
+
url = "https://files.pythonhosted.org/packages/e1/98/8752e18bb87a2fe728b73b0f83c082eb162a470766063f8028759fb26844/regex-2026.3.32-cp313-cp313t-macosx_11_0_arm64.whl"
734
+
upload-time = 2026-03-28T21:47:34Z
735
+
size = 292634
736
736
737
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[packages.wheels.hashes]
738
-
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738
+
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739
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740
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[[packages.wheels]]
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url = "https://files.pythonhosted.org/packages/55/c2/fd429066da487ef555a9da73bf214894aec77fc8c66a261ee355a69871a8/regex-2026.2.28-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl"
742
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upload-time = 2026-02-28T02:18:08Z
743
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742
+
upload-time = 2026-03-28T21:47:43Z
743
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size = 814988
744
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[packages.wheels.hashes]
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sha256 = "5cdcc17d935c8f9d3f4db5c2ebe2640c332e3822ad5d23c2f8e0228e6947943a"
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747
747
748
748
[[packages.wheels]]
749
-
url = "https://files.pythonhosted.org/packages/0a/50/414ba0731c4bd40b011fa4703b2cc86879ec060c64f2a906e65a56452589/regex-2026.2.28-cp313-cp313t-musllinux_1_2_x86_64.whl"
750
-
upload-time = 2026-02-28T02:18:23Z
751
-
size = 800184
749
+
url = "https://files.pythonhosted.org/packages/37/e8/ee0e7d14de1fc6582d5782f072db6c61465a38a4142f88e175dda494b536/regex-2026.3.32-cp313-cp313t-musllinux_1_2_x86_64.whl"
750
+
upload-time = 2026-03-28T21:47:57Z
751
+
size = 801875
752
752
753
753
[packages.wheels.hashes]
754
-
sha256 = "aaffaecffcd2479ce87aa1e74076c221700b7c804e48e98e62500ee748f0f550"
754
+
sha256 = "ef250a3f5e93182193f5c927c5e9575b2cb14b80d03e258bc0b89cc5de076b60"
755
755
756
756
[[packages]]
757
757
name = "rich"
-1
server/stack/requirements/app-server/requirements-app-server.in
-1
server/stack/requirements/app-server/requirements-app-server.in
-1
server/stack/venvstacks.toml
-1
server/stack/venvstacks.toml
-163
server/throttled_download_worker.py
-163
server/throttled_download_worker.py
···
1
-
import json
2
-
import os
3
-
import signal
4
-
import sys
5
-
import time
6
-
from typing import Any
7
-
8
-
# Global tracking for accurate download rate
9
-
_download_stats = {
10
-
'bytes_downloaded': 0,
11
-
'start_time': None,
12
-
'last_update': None,
13
-
'actual_download_time': 0.0 # Time spent actually downloading (without delays)
14
-
}
15
-
16
-
17
-
def signal_handler(signum: int, frame: Any) -> None:
18
-
print("\n[WARNING] Download cancelled by user.")
19
-
sys.exit(0)
20
-
21
-
signal.signal(signal.SIGINT, signal_handler)
22
-
signal.signal(signal.SIGTERM, signal_handler)
23
-
24
-
os.environ["HF_HUB_DOWNLOAD_THREADS"] = "1"
25
-
os.environ["HF_HUB_DOWNLOAD_CHUNK_SIZE"] = "524288" # 512KB chunks (half size)
26
-
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "false"
27
-
28
-
try:
29
-
import requests
30
-
from huggingface_hub import snapshot_download
31
-
except ImportError:
32
-
print("[ERROR] huggingface_hub or requests not installed in worker environment!")
33
-
sys.exit(2)
34
-
35
-
# Throttle all HTTP(S) requests with adaptive delays
36
-
original_get = requests.get
37
-
original_post = requests.post
38
-
39
-
def get_adaptive_delay(url: str, response: Any) -> float:
40
-
"""Calculate delay based on file type and size"""
41
-
if not url:
42
-
return 1.0
43
-
44
-
# Check if this is a large model file download
45
-
if any(ext in url.lower() for ext in ['.safetensors', '.bin', '.pth']):
46
-
# For large model files, use more aggressive throttling
47
-
content_length = response.headers.get('content-length')
48
-
if content_length:
49
-
size_mb = int(content_length) / (1024 * 1024)
50
-
if size_mb > 100: # Files larger than 100MB
51
-
return 3.0 # 3 second delay between chunks
52
-
elif size_mb > 10: # Files larger than 10MB
53
-
return 2.0 # 2 second delay
54
-
return 2.0 # Default for model files
55
-
56
-
# Regular files (config.json, tokenizer files, etc.)
57
-
return 0.5
58
-
59
-
def throttled_get(*args: Any, **kwargs: Any) -> Any:
60
-
download_start = time.time()
61
-
response = original_get(*args, **kwargs)
62
-
download_end = time.time()
63
-
64
-
# Track actual download time (without delays)
65
-
actual_download_time = download_end - download_start
66
-
_download_stats['actual_download_time'] += actual_download_time
67
-
68
-
# Track bytes if we can determine them
69
-
url = args[0] if args else kwargs.get('url', '')
70
-
if hasattr(response, 'headers') and 'content-length' in response.headers:
71
-
content_length = int(response.headers['content-length'])
72
-
_download_stats['bytes_downloaded'] += content_length
73
-
74
-
# Initialize timing if first download
75
-
if _download_stats['start_time'] is None:
76
-
_download_stats['start_time'] = download_start
77
-
78
-
# Print accurate rate every ~5MB or every 10 seconds
79
-
now = time.time()
80
-
if (_download_stats['last_update'] is None or
81
-
now - _download_stats['last_update'] > 10 or
82
-
_download_stats['bytes_downloaded'] % (5 * 1024 * 1024) < content_length):
83
-
84
-
if _download_stats['actual_download_time'] > 0:
85
-
real_rate_mbps = (_download_stats['bytes_downloaded'] / _download_stats['actual_download_time']) / (1024 * 1024)
86
-
total_mb = _download_stats['bytes_downloaded'] / (1024 * 1024)
87
-
print(f"[THROTTLE] Downloaded {total_mb:.1f}MB at real rate: {real_rate_mbps:.1f}MB/s (excluding delays)")
88
-
_download_stats['last_update'] = now
89
-
90
-
delay = get_adaptive_delay(url, response)
91
-
time.sleep(delay)
92
-
return response
93
-
94
-
def throttled_post(*args: Any, **kwargs: Any) -> Any:
95
-
response = original_post(*args, **kwargs)
96
-
time.sleep(0.5)
97
-
return response
98
-
99
-
requests.get = throttled_get
100
-
requests.post = throttled_post
101
-
102
-
def main() -> None:
103
-
if len(sys.argv) != 2:
104
-
print("Usage: python throttled_download_worker.py <kwargs_file.json>")
105
-
sys.exit(1)
106
-
107
-
kwargs_file = sys.argv[1]
108
-
try:
109
-
with open(kwargs_file) as f:
110
-
kwargs_dict = json.load(f)
111
-
except Exception as e:
112
-
print(f"[ERROR] Could not read worker kwargs: {e}")
113
-
sys.exit(1)
114
-
115
-
try:
116
-
snapshot_download(**kwargs_dict)
117
-
except requests.exceptions.HTTPError as e:
118
-
status = getattr(e.response, "status_code", None)
119
-
url = getattr(e.response, "url", None)
120
-
if status == 401:
121
-
print(f"[ERROR] Unauthorized (401): Check your HuggingFace token or login.\nURL: {url}")
122
-
sys.exit(10)
123
-
elif status == 403:
124
-
print(f"[ERROR] Forbidden (403): Access denied.\nURL: {url}")
125
-
sys.exit(11)
126
-
elif status == 404:
127
-
print(f"[ERROR] Not Found (404): Resource does not exist.\nURL: {url}")
128
-
sys.exit(12)
129
-
else:
130
-
print(f"[ERROR] HTTP Error: {e}")
131
-
sys.exit(2)
132
-
except requests.exceptions.ConnectionError:
133
-
print("[ERROR] Network connection error. Please check your internet connection and try again.")
134
-
sys.exit(20)
135
-
except PermissionError as e:
136
-
print(f"[ERROR] Permission denied: {e.filename if hasattr(e, 'filename') else 'check file permissions'}")
137
-
print(" Ensure you have write access to the cache directory.")
138
-
sys.exit(13)
139
-
except OSError as e:
140
-
import errno
141
-
if e.errno == errno.ENOSPC:
142
-
print("[ERROR] No space left on device. Please free up disk space and try again.")
143
-
sys.exit(14)
144
-
elif e.errno == errno.EACCES:
145
-
print(f"[ERROR] Access denied: {e.filename if hasattr(e, 'filename') else 'check permissions'}")
146
-
sys.exit(13)
147
-
else:
148
-
print(f"[ERROR] OS Error during download: {e}")
149
-
sys.exit(15)
150
-
except Exception as e:
151
-
print(f"[ERROR] Unexpected error during download: {type(e).__name__}: {e}")
152
-
sys.exit(2)
153
-
finally:
154
-
try:
155
-
os.unlink(kwargs_file)
156
-
except Exception:
157
-
pass
158
-
159
-
sys.exit(0)
160
-
161
-
if __name__ == "__main__":
162
-
main()
163
-
+132
-140
server/uv.lock
+132
-140
server/uv.lock
···
2
2
revision = 3
3
3
requires-python = "==3.13.*"
4
4
5
+
[options]
6
+
exclude-newer = "2026-03-19T13:23:15.459975Z"
7
+
exclude-newer-span = "P10D"
8
+
5
9
[[package]]
6
10
name = "annotated-doc"
7
11
version = "0.0.4"
···
22
26
23
27
[[package]]
24
28
name = "anyio"
25
-
version = "4.11.0"
29
+
version = "4.12.1"
26
30
source = { registry = "https://pypi.org/simple" }
27
31
dependencies = [
28
32
{ name = "idna" },
29
-
{ name = "sniffio" },
30
33
]
31
-
sdist = { url = "https://files.pythonhosted.org/packages/c6/78/7d432127c41b50bccba979505f272c16cbcadcc33645d5fa3a738110ae75/anyio-4.11.0.tar.gz", hash = "sha256:82a8d0b81e318cc5ce71a5f1f8b5c4e63619620b63141ef8c995fa0db95a57c4", size = 219094, upload-time = "2025-09-23T09:19:12.58Z" }
34
+
sdist = { url = "https://files.pythonhosted.org/packages/96/f0/5eb65b2bb0d09ac6776f2eb54adee6abe8228ea05b20a5ad0e4945de8aac/anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703", size = 228685, upload-time = "2026-01-06T11:45:21.246Z" }
32
35
wheels = [
33
-
{ url = "https://files.pythonhosted.org/packages/15/b3/9b1a8074496371342ec1e796a96f99c82c945a339cd81a8e73de28b4cf9e/anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc", size = 109097, upload-time = "2025-09-23T09:19:10.601Z" },
36
+
{ url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
34
37
]
35
38
36
39
[[package]]
···
56
59
57
60
[[package]]
58
61
name = "certifi"
59
-
version = "2025.10.5"
62
+
version = "2026.2.25"
60
63
source = { registry = "https://pypi.org/simple" }
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[[package]]
···
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[[package]]
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584
586
585
587
[[package]]
···
613
615
dependencies = [
614
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615
617
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616
-
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617
618
{ name = "mlx-lm" },
618
619
{ name = "openai-harmony" },
619
620
{ name = "openresponses-types" },
···
622
623
623
624
[package.metadata]
624
625
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-
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626
-
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627
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633
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[[package]]
···
641
641
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642
642
643
643
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663
654
664
655
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665
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669
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670
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671
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672
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673
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674
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675
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676
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677
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678
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687
679
]
688
680
689
681
[[package]]
690
682
name = "tqdm"
691
-
version = "4.67.1"
683
+
version = "4.67.3"
692
684
source = { registry = "https://pypi.org/simple" }
693
685
dependencies = [
694
686
{ name = "colorama", marker = "sys_platform == 'win32'" },
695
687
]
696
-
sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737, upload-time = "2024-11-24T20:12:22.481Z" }
688
+
sdist = { url = "https://files.pythonhosted.org/packages/09/a9/6ba95a270c6f1fbcd8dac228323f2777d886cb206987444e4bce66338dd4/tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb", size = 169598, upload-time = "2026-02-03T17:35:53.048Z" }
697
689
wheels = [
698
-
{ url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540, upload-time = "2024-11-24T20:12:19.698Z" },
690
+
{ url = "https://files.pythonhosted.org/packages/16/e1/3079a9ff9b8e11b846c6ac5c8b5bfb7ff225eee721825310c91b3b50304f/tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf", size = 78374, upload-time = "2026-02-03T17:35:50.982Z" },
699
691
]
700
692
701
693
[[package]]
702
694
name = "transformers"
703
-
version = "5.4.0"
695
+
version = "5.3.0"
704
696
source = { registry = "https://pypi.org/simple" }
705
697
dependencies = [
706
698
{ name = "huggingface-hub" },
···
713
705
{ name = "tqdm" },
714
706
{ name = "typer" },
715
707
]
716
-
sdist = { url = "https://files.pythonhosted.org/packages/0b/4c/42a8e1c7bbe668d8e073941ec3205263afb1cd02683fa5a8a75e615fdfbe/transformers-5.4.0.tar.gz", hash = "sha256:cb34ca89dce345ae3224b290346b9c0fa9694b951d54f3ed16334a4b1bfe3d04", size = 8152836, upload-time = "2026-03-27T00:24:24.692Z" }
708
+
sdist = { url = "https://files.pythonhosted.org/packages/fc/1a/70e830d53ecc96ce69cfa8de38f163712d2b43ac52fbd743f39f56025c31/transformers-5.3.0.tar.gz", hash = "sha256:009555b364029da9e2946d41f1c5de9f15e6b1df46b189b7293f33a161b9c557", size = 8830831, upload-time = "2026-03-04T17:41:46.119Z" }
717
709
wheels = [
718
-
{ url = "https://files.pythonhosted.org/packages/0b/a0/0a87883e564e364baab32adcacb4bec2e200b28a568423c8cf7fde316461/transformers-5.4.0-py3-none-any.whl", hash = "sha256:9fbe50602d2a4e6d0aa8a35a605433dfac72d595ee2192eae192590a6cc2df86", size = 10105556, upload-time = "2026-03-27T00:24:21.735Z" },
710
+
{ url = "https://files.pythonhosted.org/packages/b8/88/ae8320064e32679a5429a2c9ebbc05c2bf32cefb6e076f9b07f6d685a9b4/transformers-5.3.0-py3-none-any.whl", hash = "sha256:50ac8c89c3c7033444fb3f9f53138096b997ebb70d4b5e50a2e810bf12d3d29a", size = 10661827, upload-time = "2026-03-04T17:41:42.722Z" },
719
711
]
720
712
721
713
[[package]]
+14
-8
tiles/src/main.rs
+14
-8
tiles/src/main.rs
···
185
185
}
186
186
#[tokio::main]
187
187
pub async fn main() -> Result<(), Box<dyn Error>> {
188
-
env_logger::try_init()?;
188
+
build_logger();
189
189
let cli = Cli::parse();
190
190
let runtime = build_runtime();
191
191
match cli.command {
···
280
280
Ok(())
281
281
}
282
282
283
-
// fn build_logger() -> Result<(), SetLoggerError> {
284
-
// let mut env_builder = env_logger::Builder::new();
285
-
// if !cfg!(debug_assertions) {
286
-
// env_builder.filter_module("iroh", log::LevelFilter::Off);
287
-
// }
288
-
// env_builder.try_init()
289
-
// }
283
+
fn build_logger() {
284
+
if cfg!(debug_assertions) {
285
+
env_logger::Builder::from_env(
286
+
env_logger::Env::default().default_filter_or("info,iroh=error,tracing=off"),
287
+
)
288
+
.init()
289
+
} else {
290
+
env_logger::Builder::from_env(
291
+
env_logger::Env::default().default_filter_or("error,iroh=off"),
292
+
)
293
+
.init()
294
+
}
295
+
}
+1
-3
tiles/src/runtime/mlx.rs
+1
-3
tiles/src/runtime/mlx.rs
···
550
550
}
551
551
552
552
fn extract_reply(content: &str, memory_mode: bool) -> String {
553
-
println!("{}", content);
554
553
if !memory_mode && content.contains("**[Answer]**") {
555
554
let list_a = content.split("**[Answer]**").collect::<Vec<&str>>();
556
555
list_a[1].to_owned()
557
556
} else if !memory_mode {
558
-
// NOTE: A hack to prevent loop when we dont receive above repli format
559
-
"END".to_owned()
557
+
content.to_owned()
560
558
} else if content.contains("<reply>") && content.contains("</reply>") {
561
559
let list_a = content.split("<reply>").collect::<Vec<&str>>();
562
560
let list_b = list_a[1].split("</reply>").collect::<Vec<&str>>();