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Author SHA1 Message Date
Sami Khan 5b81d55d66 lite node 2026-02-19 22:07:34 +05:00
Sami Khan 3e9eb93f82 exo theme 2026-02-19 04:21:58 +05:00
Sami Khan ab622f79c3 EXO iOS app 2026-02-18 06:40:07 +05:00
474 changed files with 12765 additions and 48306 deletions

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-7
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@@ -1,8 +1 @@
use flake
# creates .venv if doesn't exist and loads its environment
export VIRTUAL_ENV=".venv"
if ! [ -d "./$VIRTUAL_ENV" ]; then
uv venv
fi
layout python
+4 -124
View File
@@ -32,6 +32,7 @@ jobs:
SPARKLE_ED25519_PRIVATE: ${{ secrets.SPARKLE_ED25519_PRIVATE }}
SPARKLE_S3_BUCKET: ${{ secrets.SPARKLE_S3_BUCKET }}
SPARKLE_S3_PREFIX: ${{ secrets.SPARKLE_S3_PREFIX }}
EXO_BUG_REPORT_PRESIGNED_URL_ENDPOINT: ${{ secrets.EXO_BUG_REPORT_PRESIGNED_URL_ENDPOINT }}
AWS_REGION: ${{ secrets.AWS_REGION }}
EXO_BUILD_NUMBER: ${{ github.run_number }}
EXO_LIBP2P_NAMESPACE: ${{ github.ref_name }}
@@ -158,7 +159,7 @@ jobs:
fi
- name: Install Homebrew packages
run: brew install just awscli
run: brew install just awscli macmon
- name: Install UV
uses: astral-sh/setup-uv@v6
@@ -238,92 +239,10 @@ jobs:
# Export keychain path for other steps
echo "BUILD_KEYCHAIN_PATH=$KEYCHAIN_PATH" >> $GITHUB_ENV
# ============================================================
# Pre-flight credential / profile validation
# Runs BEFORE the ~16 min build so auth/expiry failures surface in <1 min.
# ============================================================
- name: Validate Apple notarization credentials
env:
APPLE_NOTARIZATION_USERNAME: ${{ secrets.APPLE_NOTARIZATION_USERNAME }}
APPLE_NOTARIZATION_PASSWORD: ${{ secrets.APPLE_NOTARIZATION_PASSWORD }}
APPLE_NOTARIZATION_TEAM: ${{ secrets.APPLE_NOTARIZATION_TEAM }}
run: |
# All-or-nothing: either all three creds are set, or none are.
CRED_COUNT=0
for v in "$APPLE_NOTARIZATION_USERNAME" "$APPLE_NOTARIZATION_PASSWORD" "$APPLE_NOTARIZATION_TEAM"; do
[[ -n "$v" ]] && CRED_COUNT=$((CRED_COUNT + 1))
done
if [[ "$CRED_COUNT" -eq 0 ]]; then
echo "No notarization credentials configured — skipping notarization for this build."
exit 0
fi
if [[ "$CRED_COUNT" -ne 3 ]]; then
echo "ERROR: partial notarization credentials set ($CRED_COUNT/3). Aborting before build."
exit 1
fi
# Cheap, ~5s, auth-only call. Fails instantly with a clear message if
# the app-specific password is stale, wrong team-id, etc.
echo "Verifying Apple notarization credentials via notarytool history..."
if ! xcrun notarytool history \
--apple-id "$APPLE_NOTARIZATION_USERNAME" \
--password "$APPLE_NOTARIZATION_PASSWORD" \
--team-id "$APPLE_NOTARIZATION_TEAM" >/dev/null; then
echo "ERROR: notarytool rejected the provided credentials. Fix before rerunning."
echo "Common causes: app-specific password expired/revoked, wrong team-id,"
echo "Apple ID not on the team, or 2FA not configured for this Apple ID."
exit 1
fi
echo "Apple notarization credentials OK."
- name: Validate provisioning profile expiry
run: |
PROFILE="$HOME/Library/Developer/Xcode/UserData/Provisioning Profiles/EXO.provisionprofile"
if [[ ! -f "$PROFILE" ]]; then
echo "ERROR: provisioning profile not found at $PROFILE"
exit 1
fi
EXPIRY=$(security cms -D -i "$PROFILE" | plutil -extract ExpirationDate raw -o - - 2>/dev/null || true)
if [[ -z "$EXPIRY" ]]; then
echo "WARNING: could not read ExpirationDate from provisioning profile; skipping expiry check."
exit 0
fi
# Try a couple of known plutil date formats. If none parse, skip the check rather
# than risk a false-positive "expired" block on a format we didn't anticipate.
EXPIRY_EPOCH=""
for fmt in "%Y-%m-%dT%H:%M:%SZ" "%Y-%m-%d %H:%M:%S %z" "%Y-%m-%d %H:%M:%S +0000"; do
if parsed=$(date -j -f "$fmt" "$EXPIRY" +%s 2>/dev/null); then
EXPIRY_EPOCH="$parsed"
break
fi
done
if [[ -z "$EXPIRY_EPOCH" ]]; then
echo "WARNING: could not parse ExpirationDate '$EXPIRY'; skipping expiry check."
exit 0
fi
NOW_EPOCH=$(date +%s)
if [[ "$EXPIRY_EPOCH" -le "$NOW_EPOCH" ]]; then
echo "ERROR: provisioning profile expired on $EXPIRY. Regenerate it before rerunning."
exit 1
fi
DAYS_LEFT=$(( (EXPIRY_EPOCH - NOW_EPOCH) / 86400 ))
echo "Provisioning profile valid until $EXPIRY ($DAYS_LEFT days remaining)."
if [[ "$DAYS_LEFT" -lt 14 ]]; then
echo "WARNING: profile expires in under 14 days — regenerate soon."
fi
# ============================================================
# Build the bundle
# ============================================================
- name: Add pinned macmon to PATH
run: |
MACMON_DIR=$(nix develop --command sh -c 'dirname $(which macmon)')
echo "Using macmon from: $MACMON_DIR"
echo "$MACMON_DIR" >> $GITHUB_PATH
# Remove any Homebrew macmon so PyInstaller can't accidentally pick it up
brew uninstall macmon 2>/dev/null || true
- name: Build PyInstaller bundle
run: uv run pyinstaller packaging/pyinstaller/exo.spec
@@ -346,6 +265,7 @@ jobs:
EXO_BUILD_COMMIT="$GITHUB_SHA" \
SPARKLE_FEED_URL="$SPARKLE_FEED_URL" \
SPARKLE_ED25519_PUBLIC="$SPARKLE_ED25519_PUBLIC" \
EXO_BUG_REPORT_PRESIGNED_URL_ENDPOINT="$EXO_BUG_REPORT_PRESIGNED_URL_ENDPOINT" \
CODE_SIGNING_IDENTITY="$SIGNING_IDENTITY" \
CODE_SIGN_INJECT_BASE_ENTITLEMENTS=YES
mkdir -p ../../output
@@ -378,41 +298,11 @@ jobs:
APPLE_NOTARIZATION_PASSWORD: ${{ secrets.APPLE_NOTARIZATION_PASSWORD }}
APPLE_NOTARIZATION_TEAM: ${{ secrets.APPLE_NOTARIZATION_TEAM }}
run: |
set -o pipefail
cd output
security unlock-keychain -p "$MACOS_CERTIFICATE_PASSWORD" "$BUILD_KEYCHAIN_PATH"
SIGNING_IDENTITY=$(security find-identity -v -p codesigning "$BUILD_KEYCHAIN_PATH" | awk -F '"' '{print $2}')
# Fail fast if notarization creds are partial. All-or-nothing.
CRED_COUNT=0
for v in "$APPLE_NOTARIZATION_USERNAME" "$APPLE_NOTARIZATION_PASSWORD" "$APPLE_NOTARIZATION_TEAM"; do
[[ -n "$v" ]] && CRED_COUNT=$((CRED_COUNT + 1))
done
if [[ "$CRED_COUNT" -ne 0 && "$CRED_COUNT" -ne 3 ]]; then
echo "ERROR: partial Apple notarization credentials set ($CRED_COUNT/3). Aborting."
exit 1
fi
/usr/bin/codesign --deep --force --timestamp --options runtime \
--sign "$SIGNING_IDENTITY" EXO.app
# Pre-flight: verify the signed app BEFORE building DMG and submitting to Apple.
# If this fails, notarization will fail too — cheap way to fail in seconds, not 15 minutes.
echo "===== codesign --verify EXO.app ====="
if ! /usr/bin/codesign --verify --deep --strict --verbose=2 EXO.app; then
echo "ERROR: EXO.app failed codesign verification. Dumping signing status of every executable:"
find EXO.app -type f \( -perm -111 -o -name "*.dylib" -o -name "*.so" -o -name "*.framework" \) -print0 |
while IFS= read -r -d '' f; do
printf -- '--- %s\n' "$f"
/usr/bin/codesign -dv --verbose=2 "$f" 2>&1 | sed 's/^/ /' || true
done
exit 1
fi
# Gatekeeper assessment. A failure here strongly predicts notarization rejection.
echo "===== spctl assessment (predicts notarization outcome) ====="
/usr/bin/spctl -a -vvv -t install EXO.app || echo "WARNING: spctl assessment failed — notarization is likely to fail too."
mkdir -p dmg-root
cp -R EXO.app dmg-root/
ln -s /Applications dmg-root/Applications
@@ -420,22 +310,12 @@ jobs:
hdiutil create -volname "EXO" -srcfolder dmg-root -ov -format UDZO "$DMG_NAME"
/usr/bin/codesign --force --timestamp --options runtime \
--sign "$SIGNING_IDENTITY" "$DMG_NAME"
echo "===== codesign --verify DMG ====="
if ! /usr/bin/codesign --verify --verbose=2 "$DMG_NAME"; then
echo "ERROR: DMG failed codesign verification."
exit 1
fi
if [[ -n "$APPLE_NOTARIZATION_USERNAME" ]]; then
echo "===== notarytool submit ====="
# `|| true` so set -e doesn't abort before we can echo output / fetch the log.
# We rely on the parsed STATUS below to decide pass/fail.
SUBMISSION_OUTPUT=$(xcrun notarytool submit "$DMG_NAME" \
--apple-id "$APPLE_NOTARIZATION_USERNAME" \
--password "$APPLE_NOTARIZATION_PASSWORD" \
--team-id "$APPLE_NOTARIZATION_TEAM" \
--wait --timeout 15m 2>&1) || true
--wait --timeout 15m 2>&1)
echo "$SUBMISSION_OUTPUT"
SUBMISSION_ID=$(echo "$SUBMISSION_OUTPUT" | awk 'tolower($1)=="id:" && $2 ~ /^[0-9a-fA-F-]+$/ {print $2; exit}')
+3
View File
@@ -91,6 +91,9 @@ jobs:
nix build .#metal-toolchain
fi
# Build mlx (depends on metal-toolchain)
nix build .#mlx
- name: Build all Nix outputs
run: |
nix flake show --json | jq -r '
-2
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@@ -38,5 +38,3 @@ bench/**/*.json
# tmp
tmp/models
/build/exo
/.claude/skills
+31
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@@ -0,0 +1,31 @@
<?xml version="1.0" encoding="UTF-8"?>
<module type="EMPTY_MODULE" version="4">
<component name="FacetManager">
<facet type="Python" name="Python facet">
<configuration sdkName="Python 3.13 virtualenv at ~/Desktop/exo/.venv" />
</facet>
</component>
<component name="Go" enabled="true" />
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<sourceFolder url="file://$MODULE_DIR$/scripts/src" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/src" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/rust/exo_pyo3_bindings/src" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/rust/exo_pyo3_bindings/tests" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/rust/util/src" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/rust/networking/examples" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/rust/networking/src" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/rust/networking/tests" isTestSource="true" />
<sourceFolder url="file://$MODULE_DIR$/rust/system_custodian/src" isTestSource="false" />
<excludeFolder url="file://$MODULE_DIR$/.venv" />
<excludeFolder url="file://$MODULE_DIR$/.direnv" />
<excludeFolder url="file://$MODULE_DIR$/build" />
<excludeFolder url="file://$MODULE_DIR$/dist" />
<excludeFolder url="file://$MODULE_DIR$/.go_cache" />
<excludeFolder url="file://$MODULE_DIR$/rust/target" />
</content>
<orderEntry type="jdk" jdkName="Python 3.13 (exo)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
<orderEntry type="library" name="Python 3.13 virtualenv at ~/Desktop/exo/.venv interpreter library" level="application" />
</component>
</module>
+1 -1
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@@ -1,6 +1,6 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ExternalDependencies">
<plugin id="al.aoli.intellijdirenv" />
<plugin id="systems.fehn.intellijdirenv" />
</component>
</project>
+14
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@@ -0,0 +1,14 @@
<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="PyCompatibilityInspection" enabled="true" level="WARNING" enabled_by_default="true">
<option name="ourVersions">
<value>
<list size="1">
<item index="0" class="java.lang.String" itemvalue="3.14" />
</list>
</value>
</option>
</inspection_tool>
</profile>
</component>
+3
View File
@@ -4,4 +4,7 @@
<option name="sdkName" value="Python 3.13 (exo)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13 (exo)" project-jdk-type="Python SDK" />
<component name="PythonCompatibilityInspectionAdvertiser">
<option name="version" value="3" />
</component>
</project>
+6 -23
View File
@@ -215,22 +215,6 @@ class StreamContext:
traceback: object | None = ...,
) -> None: ...
def device_info() -> dict[str, str | int]:
"""
Get information about the GPU device and system settings.
Currently returns:
* ``architecture``
* ``max_buffer_size``
* ``max_recommended_working_set_size``
* ``memory_size``
* ``resource_limit``
Returns:
dict: A dictionary with string keys and string or integer values.
"""
def abs(a: array, /, *, stream: Stream | Device | None = ...) -> array:
"""
Element-wise absolute value.
@@ -1767,12 +1751,12 @@ def clip(
array: The clipped array.
"""
def compile[F: Callable[..., object]](
fun: F,
def compile(
fun: Callable,
inputs: object | None = ...,
outputs: object | None = ...,
shapeless: bool = ...,
) -> F:
) -> Callable:
"""
Returns a compiled function which produces the same output as ``fun``.
@@ -2396,7 +2380,7 @@ def degrees(a: array, /, *, stream: Stream | Device | None = ...) -> array:
array: The angles in degrees.
"""
def depends[T](inputs: T, dependencies: array | Sequence[array]) -> T:
def depends(inputs: array | Sequence[array], dependencies: array | Sequence[array]):
"""
Insert dependencies between arrays in the graph. The outputs are
identical to ``inputs`` but with dependencies on ``dependencies``.
@@ -2915,8 +2899,8 @@ def gather_mm(
a: array,
b: array,
/,
lhs_indices: array | None = ...,
rhs_indices: array | None = ...,
lhs_indices: array,
rhs_indices: array,
*,
sorted_indices: bool = ...,
stream: Stream | Device | None = ...,
@@ -4707,7 +4691,6 @@ def softmax(
/,
axis: int | Sequence[int] | None = ...,
*,
precise: bool = ...,
stream: Stream | Device | None = ...,
) -> array:
"""
+6 -2
View File
@@ -1,5 +1,9 @@
from .layers import *
from .utils import *
"""
This type stub file was generated by pyright.
"""
from layers import *
from utils import *
from . import init as init
from . import losses as losses
+20 -16
View File
@@ -1,16 +1,20 @@
from .activations import *
from .base import *
from .containers import *
from .convolution import *
from .convolution_transpose import *
from .distributed import *
from .dropout import *
from .embedding import *
from .linear import *
from .normalization import *
from .pooling import *
from .positional_encoding import *
from .quantized import *
from .recurrent import *
from .transformer import *
from .upsample import *
"""
This type stub file was generated by pyright.
"""
from activations import *
from base import *
from containers import *
from convolution import *
from convolution_transpose import *
from distributed import *
from dropout import *
from embedding import *
from linear import *
from normalization import *
from pooling import *
from positional_encoding import *
from quantized import *
from recurrent import *
from transformer import *
from upsample import *
+2 -6
View File
@@ -53,14 +53,10 @@ class Module(dict):
mx.eval(model.parameters())
"""
def __call__(self, *args: Any, **kwargs: Any) -> mx.array: ...
__call__: Callable
def __init__(self) -> None:
"""Should be called by the subclasses of ``Module``."""
def __getitem__(self, key: str) -> mx.array | Module: ...
def get(
self, key: str, default: mx.array | Module | None = ...
) -> mx.array | Module | None: ...
@property
def training(self): # -> bool:
"""Boolean indicating if the model is in training mode."""
@@ -204,7 +200,7 @@ class Module(dict):
) -> mx.MX_ARRAY_TREE: # -> dict[Any, Any | dict[Any, Any | dict[Any, Any] | list[Any]] | dict[Any, Any] | list[Any]]:
"""Return the submodules that do not contain other modules."""
def update(self, parameters: dict[str, Any], strict: bool = ...) -> Module:
def update(self, parameters: dict, strict: bool = ...) -> Module:
"""Replace the parameters of this Module with the provided ones in the
dict of dicts and lists.
@@ -32,7 +32,6 @@ class Conv1d(Module):
"""
weight: mx.array
bias: mx.array | None
groups: int
def __init__(
self,
-4
View File
@@ -40,10 +40,6 @@ class Linear(Module):
bias (bool, optional): If set to ``False`` then the layer will
not use a bias. Default is ``True``.
"""
weight: mx.array
bias: mx.array | None
def __init__(self, input_dims: int, output_dims: int, bias: bool = ...) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
def to_quantized(
@@ -88,9 +88,6 @@ class RMSNorm(Module):
dims (int): The feature dimension of the input to normalize over
eps (float): A small additive constant for numerical stability
"""
weight: mx.array
def __init__(self, dims: int, eps: float = ...) -> None: ...
def __call__(self, x) -> mx.array: ...
+3 -5
View File
@@ -2,7 +2,7 @@
This type stub file was generated by pyright.
"""
from typing import Any, Callable, Optional, Union
from typing import Callable, Optional, Union
import mlx.core as mx
from base import Module
@@ -13,10 +13,8 @@ def quantize(
bits: int = ...,
*,
mode: str = ...,
class_predicate: Optional[
Callable[[str, Module], Union[bool, dict[str, Any]]]
] = ...,
) -> None:
class_predicate: Optional[Callable[[str, Module], Union[bool, dict]]] = ...,
): # -> None:
"""Quantize the sub-modules of a module according to a predicate.
By default all layers that define a ``to_quantized(group_size, bits)``
+8 -11
View File
@@ -7,10 +7,7 @@ from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from mlx.core import MX_ARRAY_TREE
def tree_map(
fn: Callable[..., Any],
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
fn: Callable, tree: Any, *rest: Any, is_leaf: Optional[Callable] = ...
) -> Any:
"""Applies ``fn`` to the leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -47,11 +44,11 @@ def tree_map(
"""
def tree_map_with_path(
fn: Callable[..., Any],
fn: Callable,
tree: Any,
*rest: Any,
is_leaf: Callable[..., bool] | None = ...,
path: str | None = ...,
is_leaf: Optional[Callable] = ...,
path: Optional[Any] = ...,
) -> Any:
"""Applies ``fn`` to the path and leaves of the Python tree ``tree`` and
returns a new collection with the results.
@@ -83,9 +80,9 @@ def tree_map_with_path(
def tree_flatten(
tree: Any,
prefix: str = ...,
is_leaf: Callable[..., bool] | None = ...,
destination: list[tuple[str, Any]] | dict[str, Any] | None = ...,
) -> list[tuple[str, Any]] | dict[str, Any]:
is_leaf: Optional[Callable] = ...,
destination: Optional[Union[List[Tuple[str, Any]], Dict[str, Any]]] = ...,
) -> Union[List[Tuple[str, Any]], Dict[str, Any]]:
"""Flattens a Python tree to a list of key, value tuples.
The keys are using the dot notation to define trees of arbitrary depth and
@@ -121,7 +118,7 @@ def tree_flatten(
the Python tree.
"""
def tree_unflatten(tree: list[tuple[str, Any]] | dict[str, Any]) -> Any:
def tree_unflatten(tree: Union[List[Tuple[str, Any]], Dict[str, Any]]) -> Any:
"""Recreate a Python tree from its flat representation.
.. code-block:: python
-5
View File
@@ -1,5 +0,0 @@
"""
This type stub file was generated by pyright.
"""
__version__ = ...
+56 -289
View File
@@ -3,12 +3,13 @@ This type stub file was generated by pyright.
"""
import contextlib
from dataclasses import dataclass
from typing import Any, Callable, Generator, List, Optional, Tuple, Union
import mlx.core as mx
import mlx.nn as nn
from dataclasses import dataclass
from collections import deque
from typing import Any, Callable, Generator, List, Optional, Sequence, Tuple, Union
from transformers import PreTrainedTokenizer
from .tokenizer_utils import TokenizerWrapper
DEFAULT_PROMPT = ...
@@ -28,9 +29,8 @@ def str2bool(string): # -> bool:
...
def setup_arg_parser(): # -> ArgumentParser:
"""Set up and return the argument parser."""
...
generation_stream: mx.Stream
generation_stream = ...
@contextlib.contextmanager
def wired_limit(
@@ -43,7 +43,6 @@ def wired_limit(
async eval could be running pass in the streams to synchronize with prior
to exiting the context manager.
"""
...
@dataclass
class GenerationResponse:
"""
@@ -74,11 +73,9 @@ class GenerationResponse:
finish_reason: Optional[str] = ...
def maybe_quantize_kv_cache(
prompt_cache: Any,
quantized_kv_start: int | None,
kv_group_size: int | None,
kv_bits: int | None,
) -> None: ...
prompt_cache, quantized_kv_start, kv_group_size, kv_bits
): # -> None:
...
def generate_step(
prompt: mx.array,
model: nn.Module,
@@ -92,7 +89,7 @@ def generate_step(
kv_bits: Optional[int] = ...,
kv_group_size: int = ...,
quantized_kv_start: int = ...,
prompt_progress_callback: Optional[Callable[[int, int], None]] = ...,
prompt_progress_callback: Optional[Callable[[int], int]] = ...,
input_embeddings: Optional[mx.array] = ...,
) -> Generator[Tuple[mx.array, mx.array], None, None]:
"""
@@ -118,7 +115,7 @@ def generate_step(
kv_group_size (int): Group size for KV cache quantization. Default: ``64``.
quantized_kv_start (int): Step to begin using a quantized KV cache.
when ``kv_bits`` is non-None. Default: ``0``.
prompt_progress_callback (Callable[[int, int], None]): A call-back which takes the
prompt_progress_callback (Callable[[int], int]): A call-back which takes the
prompt tokens processed so far and the total number of prompt tokens.
input_embeddings (mx.array, optional): Input embeddings to use instead of or in
conjunction with prompt tokens. Default: ``None``.
@@ -126,7 +123,6 @@ def generate_step(
Yields:
Tuple[mx.array, mx.array]: One token and a vector of log probabilities.
"""
...
def speculative_generate_step(
prompt: mx.array,
@@ -172,7 +168,6 @@ def speculative_generate_step(
Tuple[mx.array, mx.array, bool]: One token, a vector of log probabilities,
and a bool indicating if the token was generated by the draft model
"""
...
def stream_generate(
model: nn.Module,
@@ -180,7 +175,7 @@ def stream_generate(
prompt: Union[str, mx.array, List[int]],
max_tokens: int = ...,
draft_model: Optional[nn.Module] = ...,
**kwargs: Any,
**kwargs: object,
) -> Generator[GenerationResponse, None, None]:
"""
A generator producing text based on the given prompt from the model.
@@ -202,7 +197,6 @@ def stream_generate(
GenerationResponse: An instance containing the generated text segment and
associated metadata. See :class:`GenerationResponse` for details.
"""
...
def generate(
model: nn.Module,
@@ -223,9 +217,6 @@ def generate(
kwargs: The remaining options get passed to :func:`stream_generate`.
See :func:`stream_generate` for more details.
"""
...
def _merge_caches(caches: List[List[Any]]) -> List[Any]: ...
@dataclass
class BatchStats:
"""
@@ -249,263 +240,10 @@ class BatchStats:
generation_time: float = ...
peak_memory: float = ...
class SequenceStateMachine:
"""A state machine that uses one Aho-Corasick trie per state to efficiently
track state across a generated sequence.
The transitions are provided as state -> [(sequence, new_state)].
Example:
sm = SequenceStateMachine(
transitions={
"normal": [
(think_start_tokens, "reasoning"),
(tool_start_tokens, "tool"),
(eos, None),
],
"reasoning": [
(think_end_tokens, "normal"),
(eos, None),
],
"tool": [
(tool_end_tokens, None),
(eos, None)
],
},
initial="normal"
)
"""
def __init__(self, transitions=..., initial=...) -> None: ...
def __deepcopy__(self, memo): # -> SequenceStateMachine:
...
def make_state(self): # -> tuple[str, Any, dict[Any, Any]]:
...
@staticmethod
def match(state, x): # -> tuple[tuple[Any, Any | None, Any], Any | None, Any]:
...
class PromptProcessingBatch:
"""
A batch processor for prompt tokens with support for incremental processing.
This class handles batched prompt processing, managing KV caches and preparing
tokens for generation. It supports extending, filtering, and splitting batches.
"""
@dataclass
class Response:
uid: int
progress: tuple
end_of_segment: bool
end_of_prompt: bool
...
def __init__(
self,
model: nn.Module,
uids: List[int],
caches: List[List[Any]],
tokens: Optional[List[List[int]]] = ...,
prefill_step_size: int = ...,
samplers: Optional[List[Callable[[mx.array], mx.array]]] = ...,
fallback_sampler: Optional[Callable[[mx.array], mx.array]] = ...,
logits_processors: Optional[
List[List[Callable[[mx.array, mx.array], mx.array]]]
] = ...,
state_machines: Optional[List[SequenceStateMachine]] = ...,
max_tokens: Optional[List[int]] = ...,
) -> None: ...
def __len__(self): # -> int:
...
def extract_cache(self, idx: int) -> List[Any]: ...
def extend(self, batch): # -> None:
...
def split(self, indices: List[int]): # -> Self:
...
def filter(self, keep: List[int]): # -> None:
...
def prompt(self, tokens: List[List[int]]): # -> None:
"""
Process prompt tokens through the model.
Args:
tokens: List of token sequences to process.
"""
...
def generate(self, tokens: List[List[int]]): # -> GenerationBatch:
"""
Transition from prompt processing to generation.
Args:
tokens: Final tokens for each sequence to start generation.
Returns:
A GenerationBatch ready for token generation.
"""
...
@classmethod
def empty(
cls,
model: nn.Module,
fallback_sampler: Callable[[mx.array], mx.array],
prefill_step_size: int = ...,
): # -> Self:
...
class GenerationBatch:
"""
A batched token generator that manages multiple sequences in parallel.
This class handles the generation phase after prompt processing, managing
KV caches, sampling, and stop sequence detection for multiple sequences.
"""
@dataclass
class Response:
uid: int
token: int
logprobs: mx.array
finish_reason: Optional[str]
current_state: Optional[str]
match_sequence: Optional[List[int]]
prompt_cache: Optional[List[Any]]
all_tokens: Optional[List[int]]
...
model: nn.Module
uids: List[int]
prompt_cache: List[Any]
tokens: List[List[int]]
samplers: Optional[List[Callable[[mx.array], mx.array]]]
fallback_sampler: Callable[[mx.array], mx.array]
logits_processors: Optional[List[List[Callable[[mx.array, mx.array], mx.array]]]]
state_machines: List[SequenceStateMachine]
max_tokens: List[int]
_current_tokens: Optional[mx.array]
_current_logprobs: mx.array | List[mx.array]
_next_tokens: Optional[mx.array]
_next_logprobs: mx.array | List[mx.array]
_token_context: List[Any]
_num_tokens: List[int]
_matcher_states: List[Any]
def __init__(
self,
model: nn.Module,
uids: List[int],
inputs: mx.array,
prompt_cache: List[Any],
tokens: List[List[int]],
samplers: Optional[List[Callable[[mx.array], mx.array]]],
fallback_sampler: Callable[[mx.array], mx.array],
logits_processors: Optional[
List[List[Callable[[mx.array, mx.array], mx.array]]]
],
state_machines: List[SequenceStateMachine],
max_tokens: List[int],
) -> None: ...
def __len__(self) -> int: ...
def extend(self, batch: GenerationBatch) -> None: ...
def extract_cache(self, idx: int) -> List[Any]: ...
def filter(self, keep: List[int]) -> None: ...
def _step(self) -> Tuple[List[int], List[mx.array]]: ...
def next(self) -> List[Response]:
"""
Generate the next batch of tokens.
Returns:
List of Response objects for each sequence in the batch.
"""
...
@classmethod
def empty(
cls, model: nn.Module, fallback_sampler: Callable[[mx.array], mx.array]
): # -> Self:
...
class BatchGenerator:
"""
A batch generator implements continuous batching.
This class provides automatic management of prompt processing and generation
batches, handling the transition between the two.
It also allows for segmented prompt processing which guarantees that the
generator will stop at these boundaries when processing an input.
"""
def __init__(
self,
model: nn.Module,
max_tokens: int = ...,
stop_tokens: Optional[Sequence[Sequence[int]]] = ...,
sampler: Optional[Callable[[mx.array], mx.array]] = ...,
logits_processors: Optional[
List[Callable[[mx.array, mx.array], mx.array]]
] = ...,
completion_batch_size: int = ...,
prefill_batch_size: int = ...,
prefill_step_size: int = ...,
) -> None: ...
def close(self) -> None: ...
def __del__(self): # -> None:
...
@contextlib.contextmanager
def stats(self, stats=...): # -> Generator[Any | BatchStats, Any, None]:
...
_unprocessed_sequences: deque[tuple[Any, ...]]
_prompt_batch: PromptProcessingBatch
_generation_batch: GenerationBatch
_currently_processing: list[Any]
_gen_tokens_counter: int
_steps_counter: int
def _next(
self,
) -> tuple[
List[PromptProcessingBatch.Response], List[GenerationBatch.Response]
]: ...
def insert(
self,
prompts: List[List[int]],
max_tokens: Optional[List[int]] = ...,
caches: Optional[List[List[Any]]] = ...,
all_tokens: Optional[List[List[int]]] = ...,
samplers: Optional[List[Callable[[mx.array], mx.array]]] = ...,
logits_processors: Optional[
List[List[Callable[[mx.array, mx.array], mx.array]]]
] = ...,
state_machines: Optional[List[SequenceStateMachine]] = ...,
) -> List[int]: ...
def insert_segments(
self,
segments: List[List[List[int]]],
max_tokens: Optional[List[int]] = ...,
caches: Optional[List[List[Any]]] = ...,
all_tokens: Optional[List[List[int]]] = ...,
samplers: Optional[List[Callable[[mx.array], mx.array]]] = ...,
logits_processors: Optional[
List[List[Callable[[mx.array, mx.array], mx.array]]]
] = ...,
state_machines: Optional[List[SequenceStateMachine]] = ...,
) -> List[int]: ...
def extract_cache(self, uids: List[int]) -> dict[int, Any]: ...
def remove(
self, uids: List[int], return_prompt_caches: bool = ...
) -> dict[int, Any]: ...
@property
def prompt_cache_nbytes(self) -> int: ...
def next(
self,
) -> tuple[
List[PromptProcessingBatch.Response], List[GenerationBatch.Response]
]: ...
def next_generated(self) -> List[GenerationBatch.Response]: ...
@dataclass
class BatchResponse:
"""
A data object to hold a batch generation response.
An data object to hold a batch generation response.
Args:
texts: (List[str]): The generated text for each prompt.
@@ -514,18 +252,55 @@ class BatchResponse:
texts: List[str]
stats: BatchStats
caches: Optional[List[List[Any]]]
...
@dataclass
class Batch:
uids: List[int]
y: mx.array
logprobs: mx.array
max_tokens: List[int]
num_tokens: List[int]
cache: List[Any]
def __len__(self): # -> int:
...
def filter(self, keep_idx: List[int]): # -> None:
...
def extend(self, other): # -> None:
...
class BatchGenerator:
@dataclass
class Response:
uid: int
token: int
logprobs: mx.array
finish_reason: Optional[str]
def __init__(
self,
model,
max_tokens: int = ...,
stop_tokens: Optional[set] = ...,
sampler: Optional[Callable[[mx.array], mx.array]] = ...,
completion_batch_size: int = ...,
prefill_batch_size: int = ...,
prefill_step_size: int = ...,
) -> None: ...
def insert(
self, prompts, max_tokens: Union[List[int], int, None] = ...
): # -> list[Any]:
...
def stats(self): # -> BatchStats:
...
def next(self): # -> list[Any]:
...
def batch_generate(
model,
tokenizer,
prompts: List[List[int]],
prompt_caches: Optional[List[List[Any]]] = ...,
prompts: List[int],
max_tokens: Union[int, List[int]] = ...,
verbose: bool = ...,
return_prompt_caches: bool = ...,
logits_processors: Optional[List[Callable[[mx.array, mx.array], mx.array]]] = ...,
**kwargs,
) -> BatchResponse:
"""
@@ -534,22 +309,14 @@ def batch_generate(
Args:
model (nn.Module): The language model.
tokenizer (PreTrainedTokenizer): The tokenizer.
prompts (List[List[int]]): The input prompts.
prompt_caches (List[List[Any]], optional): Pre-computed prompt-caches
for each input prompt. Note, unlike ``generate_step``, the caches
won't be updated in-place.
prompt (List[List[int]]): The input prompts.
verbose (bool): If ``True``, print tokens and timing information.
Default: ``False``.
max_tokens (Union[int, List[int]): Maximum number of output tokens. This
can be per prompt if a list is provided.
return_prompt_caches (bool): Return the prompt caches in the batch
responses. Default: ``False``.
logits_processors (List[Callable[[mx.array, mx.array], mx.array]], optional):
A list of functions that take tokens and logits and return the processed logits. Default: ``None``.
kwargs: The remaining options get passed to :obj:`BatchGenerator`.
See :obj:`BatchGenerator` for more details.
"""
...
def main(): # -> None:
...
@@ -1,19 +0,0 @@
"""
This type stub file was generated by pyright.
"""
import mlx.core as mx
import mlx.nn as nn
from functools import partial
@partial(mx.compile, shapeless=True)
def swiglu(gate, x): ...
@partial(mx.compile, shapeless=True)
def xielu(x, alpha_p, alpha_n, beta, eps): # -> array:
...
class XieLU(nn.Module):
def __init__(
self, alpha_p_init=..., alpha_n_init=..., beta=..., eps=...
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
+5 -5
View File
@@ -3,7 +3,7 @@ This type stub file was generated by pyright.
"""
from dataclasses import dataclass
from typing import Any, Optional
from typing import Optional
import mlx.core as mx
@@ -37,10 +37,10 @@ def quantized_scaled_dot_product_attention(
bits: int = ...,
) -> mx.array: ...
def scaled_dot_product_attention(
queries: mx.array,
keys: mx.array,
values: mx.array,
cache: Optional[Any],
queries,
keys,
values,
cache,
scale: float,
mask: Optional[mx.array],
sinks: Optional[mx.array] = ...,
+61 -52
View File
@@ -16,7 +16,7 @@ class Cache(Protocol):
self, keys: mx.array, values: mx.array
) -> tuple[mx.array, mx.array]: ...
@property
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
def state(self) -> tuple[mx.array, mx.array]: ...
@state.setter
def state(self, v) -> None: ...
@@ -88,18 +88,17 @@ def create_attention_mask(
) -> array | Literal["causal"] | None: ...
class _BaseCache(Cache):
keys: mx.array | None
values: mx.array | None
keys: mx.array
values: mx.array
offset: int
@property
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
def state(self) -> tuple[mx.array, mx.array]: ...
@state.setter
def state(self, v) -> None: ...
@property
def meta_state(self) -> Literal[""]: ...
@meta_state.setter
def meta_state(self, v) -> None: ...
def trim(self, n: int) -> int: ...
def is_trimmable(self) -> Literal[False]: ...
@classmethod
def from_state(cls, state, meta_state) -> Self: ...
@@ -115,13 +114,15 @@ class ConcatenateKVCache(_BaseCache):
def update_and_fetch(self, keys, values): # -> tuple[Any | array, Any | array]:
...
@property
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
def state(self): # -> tuple[Any | array | None, Any | array | None]:
...
@state.setter
def state(self, v): # -> None:
...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n: int) -> int: ...
def trim(self, n): # -> int:
...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
@@ -131,7 +132,10 @@ class QuantizedKVCache(_BaseCache):
def update_and_fetch(self, keys, values): # -> Any:
...
@property
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
def state(
self,
): # -> tuple[Any | tuple[array, array, array] | None, Any | tuple[array, array, array] | None] | Any:
...
@state.setter
def state(self, v): # -> None:
...
@@ -143,7 +147,8 @@ class QuantizedKVCache(_BaseCache):
...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n: int) -> int: ...
def trim(self, n): # -> int:
...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
@@ -155,30 +160,22 @@ class KVCache(_BaseCache):
@property
def state(
self,
) -> tuple[mx.array | None, mx.array | None]: ...
) -> tuple[array, array]: ...
@state.setter
def state(self, v) -> None: ...
def is_trimmable(self): # -> Literal[True]:
...
def trim(self, n: int) -> int: ...
def trim(self, n): # -> int:
...
def to_quantized(
self, group_size: int = ..., bits: int = ...
) -> QuantizedKVCache: ...
def make_mask(
self, *args: Any, **kwargs: Any
) -> mx.array | Literal["causal"] | None: ...
def make_mask(self, *args, **kwargs): # -> array | Literal['causal'] | None:
...
class RotatingKVCache(_BaseCache):
step = ...
keys: mx.array | None
values: mx.array | None
keep: int
max_size: int
_idx: int
def __init__(self, max_size, keep=...) -> None: ...
def _trim(
self, trim_size: int, v: mx.array, append: mx.array | None = ...
) -> mx.array: ...
def update_and_fetch(
self, keys, values
): # -> tuple[array | Any, array | Any] | tuple[array | Any, array | Any | None]:
@@ -186,7 +183,8 @@ class RotatingKVCache(_BaseCache):
@property
def state(
self,
) -> tuple[mx.array | None, mx.array | None]: ...
): # -> tuple[Any | array, Any | array] | tuple[Any | array | None, Any | array | None]:
...
@state.setter
def state(self, v): # -> None:
...
@@ -198,7 +196,8 @@ class RotatingKVCache(_BaseCache):
...
def is_trimmable(self): # -> bool:
...
def trim(self, n: int) -> int: ...
def trim(self, n): # -> int:
...
def to_quantized(
self, group_size: int = ..., bits: int = ...
) -> QuantizedKVCache: ...
@@ -213,7 +212,8 @@ class ArraysCache(_BaseCache):
...
def __getitem__(self, idx): ...
@property
def state(self) -> tuple[mx.array | None, mx.array | None]: ...
def state(self): # -> list[Any | array] | list[array]:
...
@state.setter
def state(self, v): # -> None:
...
@@ -227,7 +227,8 @@ class ArraysCache(_BaseCache):
In-place extend this cache with the other cache.
"""
def make_mask(self, N: int) -> mx.array | None: ...
def make_mask(self, N: int): # -> array | None:
...
class MambaCache(ArraysCache):
def __init__(self, left_padding: Optional[List[int]] = ...) -> None: ...
@@ -238,7 +239,8 @@ class ChunkedKVCache(KVCache):
...
def update_and_fetch(self, keys, values): # -> tuple[array, array]:
...
def trim(self, n: int) -> int: ...
def trim(self, n): # -> int:
...
@property
def meta_state(self): # -> tuple[str, ...]:
...
@@ -251,9 +253,10 @@ class CacheList(_BaseCache):
def __getitem__(self, idx): ...
def is_trimmable(self): # -> bool:
...
def trim(self, n: int) -> int: ...
def trim(self, n): ...
@property
def state(self) -> list[tuple[mx.array | None, mx.array | None]]: ...
def state(self): # -> list[Any]:
...
@state.setter
def state(self, v): # -> None:
...
@@ -268,14 +271,29 @@ class CacheList(_BaseCache):
"""
class BatchKVCache(_BaseCache):
step: int
keys: array | None
values: array | None
offset: array
left_padding: array
_idx: int
def __init__(self, left_padding: List[int]) -> None: ...
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
step = ...
def __init__(self, left_padding: List[int]) -> None:
"""
The BatchKV cache expects inputs to be left-padded.
E.g. the following prompts:
[1, 3, 5]
[7]
[2, 6, 8, 9]
Should be padded like so:
[0, 1, 3, 5]
[0, 0, 0, 7]
[2, 6, 8, 9]
And ``left_padding`` specifies the amount of padding for each.
In this case, ``left_padding = [1, 3, 0]``.
"""
def update_and_fetch(self, keys, values): # -> tuple[array | Any, array | Any]:
...
@property
def state(
self,
@@ -301,21 +319,12 @@ class BatchKVCache(_BaseCache):
"""
class BatchRotatingKVCache(_BaseCache):
step: int
keys: array | None
values: array | None
offset: array
left_padding: array
max_size: int
_idx: int
_offset: int
rotated: bool
_lengths: array | None
def __init__(self, max_size: int, left_padding: List[int]) -> None: ...
def _trim(self, trim_size: int, v: array, append: array | None = ...) -> array: ...
def _update_in_place(self, keys: array, values: array) -> tuple[array, array]: ...
def _update_concat(self, keys: array, values: array) -> tuple[array, array]: ...
def update_and_fetch(self, keys: array, values: array) -> tuple[array, array]: ...
step = ...
def __init__(self, max_size, left_padding: List[int]) -> None: ...
def update_and_fetch(
self, keys, values
): # -> tuple[array | Any, array | Any] | tuple[array | Any, array | Any | None]:
...
@property
def state(
self,
-280
View File
@@ -1,280 +0,0 @@
"""Type stubs for mlx_lm.models.deepseek_v4"""
from dataclasses import dataclass
from typing import Any, Dict, List, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .cache import ArraysCache, RotatingKVCache
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
intermediate_size: int
moe_intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
n_shared_experts: Optional[int]
n_routed_experts: int
num_experts_per_tok: int
head_dim: int
qk_rope_head_dim: int
q_lora_rank: int
o_lora_rank: int
o_groups: int
sliding_window: int
hc_mult: int
hc_sinkhorn_iters: int
hc_eps: float
compress_ratios: Optional[List[int]]
compress_rope_theta: float
rope_theta: float
rope_scaling: Optional[Dict[str, Any]]
rms_norm_eps: float
swiglu_limit: float
attention_bias: bool
max_position_embeddings: int
class DeepseekV4RoPE(nn.Module):
dims: int
freqs: mx.array
def __init__(
self,
dims: int,
base: float,
scaling_config: Optional[Dict[str, Any]] = None,
) -> None: ...
def __call__(
self,
x: mx.array,
offset: int = 0,
inverse: bool = False,
) -> mx.array: ...
class HyperConnection(nn.Module):
dim: int
hc_mult: int
norm_eps: float
def __init__(
self,
dim: int,
hc_mult: int,
norm_eps: float,
sinkhorn_iters: int,
hc_eps: float,
) -> None: ...
class HyperHead(nn.Module):
dim: int
hc_mult: int
def __init__(
self,
dim: int,
hc_mult: int,
norm_eps: float,
hc_eps: float,
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Compressor(nn.Module):
dim: int
head_dim: int
rope_head_dim: int
compress_ratio: int
overlap: bool
wkv_gate: nn.Linear
ape: mx.array
norm: nn.RMSNorm
rope: DeepseekV4RoPE
def __init__(
self,
dim: int,
compress_ratio: int,
head_dim: int,
rope_head_dim: int,
rms_norm_eps: float,
rope: DeepseekV4RoPE,
) -> None: ...
def __call__(
self,
x: mx.array,
cache: "DeepseekV4Cache",
offset: Any,
key: str = ...,
) -> mx.array: ...
class Indexer(nn.Module):
def __init__(
self,
args: ModelArgs,
compress_ratio: int,
rope: DeepseekV4RoPE,
) -> None: ...
class _CompressorBranch:
buffer_kv: Optional[mx.array]
buffer_gate: Optional[mx.array]
prev_kv: Optional[mx.array]
prev_gate: Optional[mx.array]
pool: Optional[mx.array]
buffer_lengths: Optional[List[int]]
pool_lengths: Optional[List[int]]
buffer_count: int
_new_pool_lengths: Optional[List[int]]
def __init__(self) -> None: ...
class DeepseekV4Cache:
local: RotatingKVCache
offset: int
keys: Optional[mx.array]
values: Optional[mx.array]
state: Any
meta_state: Any
nbytes: int
_branches: Dict[str, _CompressorBranch]
_pending_lengths: Optional[List[int]]
def __init__(self, sliding_window: int) -> None: ...
def update_and_fetch(
self, keys: mx.array, values: mx.array
) -> tuple[mx.array, mx.array]: ...
def is_trimmable(self) -> bool: ...
def trim(self, n: int) -> int: ...
def empty(self) -> bool: ...
def size(self) -> int: ...
def prepare(
self,
*,
left_padding: Optional[List[int]] = None,
lengths: Optional[List[int]] = None,
right_padding: Optional[List[int]] = None,
) -> None: ...
def finalize(self) -> None: ...
def filter(self, batch_indices: mx.array) -> None: ...
def extend(self, other: "DeepseekV4Cache") -> None: ...
def extract(self, idx: int) -> "DeepseekV4Cache": ...
@classmethod
def merge(cls, caches: List["DeepseekV4Cache"]) -> "DeepseekV4Cache": ...
class V4Attention(nn.Module):
args: ModelArgs
layer_id: int
dim: int
n_heads: int
head_dim: int
rope_head_dim: int
nope_head_dim: int
n_groups: int
q_lora_rank: int
o_lora_rank: int
window: int
eps: float
scale: float
compress_ratio: int
wqkv_a: nn.Linear
q_norm: nn.RMSNorm
wq_b: nn.Linear
kv_norm: nn.RMSNorm
attn_sink: mx.array
wo_a: nn.Linear
wo_b: nn.Linear
rope: DeepseekV4RoPE
compressor: Compressor
indexer: Indexer
def __init__(self, args: ModelArgs, layer_id: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class DeepseekV4MLP(nn.Module):
gate_proj: nn.Linear
up_proj: nn.Linear
down_proj: nn.Linear
def __init__(
self,
hidden_size: int,
intermediate_size: int,
swiglu_limit: float = 0.0,
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class MoEGate(nn.Module):
weight: mx.array
def __init__(self, args: ModelArgs, layer_id: int) -> None: ...
def __call__(
self, x: mx.array, input_ids: mx.array
) -> tuple[mx.array, mx.array]: ...
class DeepseekV4MoE(nn.Module):
num_experts_per_tok: int
switch_mlp: SwitchGLU
gate: MoEGate
shared_experts: DeepseekV4MLP
def __init__(self, args: ModelArgs, layer_id: int) -> None: ...
def __call__(self, x: mx.array, input_ids: mx.array) -> mx.array: ...
class DeepseekV4Block(nn.Module):
attn_norm: nn.RMSNorm
attn: V4Attention
hc_attn: HyperConnection
ffn_norm: nn.RMSNorm
ffn: DeepseekV4MoE
hc_ffn: HyperConnection
def __init__(self, args: ModelArgs, layer_id: int) -> None: ...
def __call__(
self,
h: mx.array,
cache: Optional[Any],
input_ids: mx.array,
) -> mx.array: ...
class DeepseekV4Model(nn.Module):
args: ModelArgs
vocab_size: int
embed_tokens: nn.Embedding
layers: list[DeepseekV4Block]
norm: nn.RMSNorm
hc_head: HyperHead
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: DeepseekV4Model
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[List[Any]] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
def make_cache(self) -> list[RotatingKVCache | DeepseekV4Cache]: ...
@property
def layers(self) -> list[DeepseekV4Block]: ...
@@ -1,35 +0,0 @@
from typing import Optional
import mlx.core as mx
def compute_g(A_log: mx.array, a: mx.array, dt_bias: mx.array) -> mx.array: ...
def gated_delta_update(
q: mx.array,
k: mx.array,
v: mx.array,
a: mx.array,
b: mx.array,
A_log: mx.array,
dt_bias: mx.array,
state: Optional[mx.array] = ...,
mask: Optional[mx.array] = ...,
use_kernel: bool = ...,
) -> tuple[mx.array, mx.array]: ...
def gated_delta_ops(
q: mx.array,
k: mx.array,
v: mx.array,
g: mx.array,
beta: mx.array,
state: Optional[mx.array] = ...,
mask: Optional[mx.array] = ...,
) -> tuple[mx.array, mx.array]: ...
def gated_delta_kernel(
q: mx.array,
k: mx.array,
v: mx.array,
g: mx.array,
beta: mx.array,
state: mx.array,
mask: Optional[mx.array] = ...,
) -> tuple[mx.array, mx.array]: ...
-31
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@@ -1,31 +0,0 @@
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from . import gemma4_text
from .base import BaseModelArgs
from .cache import KVCache, RotatingKVCache
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
text_config: Optional[dict[str, Any]]
vocab_size: int
def __post_init__(self) -> None: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
language_model: gemma4_text.Model
def __init__(self, args: ModelArgs) -> None: ...
def __call__(self, *args: Any, **kwargs: Any) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[gemma4_text.DecoderLayer]: ...
@property
def quant_predicate(self) -> Any: ...
def make_cache(self) -> list[KVCache | RotatingKVCache]: ...
-179
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@@ -1,179 +0,0 @@
from dataclasses import dataclass
from typing import Any, Dict, List, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .cache import KVCache, RotatingKVCache
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
hidden_size: int
num_hidden_layers: int
intermediate_size: int
num_attention_heads: int
head_dim: int
global_head_dim: int
global_partial_rotary_factor: float
rms_norm_eps: float
vocab_size: int
vocab_size_per_layer_input: int
num_key_value_heads: int
num_global_key_value_heads: Optional[int]
num_kv_shared_layers: int
pad_token_id: int
hidden_size_per_layer_input: int
rope_traditional: bool
partial_rotary_factor: float
rope_parameters: Optional[Dict[str, Any]]
sliding_window: int
sliding_window_pattern: int
max_position_embeddings: int
attention_k_eq_v: bool
final_logit_softcapping: float
use_double_wide_mlp: bool
enable_moe_block: bool
num_experts: Optional[int]
top_k_experts: Optional[int]
moe_intermediate_size: Optional[int]
layer_types: Optional[List[str]]
tie_word_embeddings: bool
def __post_init__(self) -> None: ...
class MLP(nn.Module):
gate_proj: nn.Linear
down_proj: nn.Linear
up_proj: nn.Linear
def __init__(self, config: ModelArgs, layer_idx: int = 0) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class Router(nn.Module):
proj: nn.Linear
scale: mx.array
per_expert_scale: mx.array
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class Experts(nn.Module):
switch_glu: SwitchGLU
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self, x: mx.array, top_k_indices: mx.array, top_k_weights: mx.array
) -> mx.array: ...
class Attention(nn.Module):
layer_idx: int
layer_type: str
is_sliding: bool
head_dim: int
n_heads: int
n_kv_heads: int
use_k_eq_v: bool
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
q_norm: nn.Module
k_norm: nn.Module
v_norm: nn.Module
rope: nn.Module
def __init__(self, config: ModelArgs, layer_idx: int) -> None: ...
def __call__(self, *args: Any, **kwargs: Any) -> Any: ...
class DecoderLayer(nn.Module):
layer_idx: int
layer_type: str
self_attn: Attention
mlp: MLP
enable_moe: bool
router: Router
experts: Experts
input_layernorm: nn.Module
post_attention_layernorm: nn.Module
pre_feedforward_layernorm: nn.Module
post_feedforward_layernorm: nn.Module
post_feedforward_layernorm_1: nn.Module
post_feedforward_layernorm_2: nn.Module
pre_feedforward_layernorm_2: nn.Module
hidden_size_per_layer_input: int
per_layer_input_gate: Optional[nn.Linear]
per_layer_projection: Optional[nn.Linear]
post_per_layer_input_norm: Optional[nn.Module]
layer_scalar: mx.array
def __init__(self, config: ModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = ...,
cache: Optional[Any] = ...,
per_layer_input: Optional[mx.array] = ...,
shared_kv: Optional[tuple[mx.array, mx.array]] = ...,
offset: Optional[mx.array] = ...,
) -> tuple[mx.array, tuple[mx.array, mx.array], mx.array]: ...
class Gemma4TextModel(nn.Module):
config: ModelArgs
vocab_size: int
window_size: int
sliding_window_pattern: int
num_hidden_layers: int
embed_tokens: nn.Embedding
embed_scale: float
layers: list[DecoderLayer]
norm: nn.Module
hidden_size_per_layer_input: int
embed_tokens_per_layer: Optional[nn.Embedding]
per_layer_model_projection: Optional[nn.Linear]
per_layer_projection_norm: Optional[nn.Module]
previous_kvs: list[int]
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
inputs: Optional[mx.array] = ...,
cache: Optional[list[Any]] = ...,
input_embeddings: Optional[mx.array] = ...,
per_layer_inputs: Optional[mx.array] = ...,
) -> mx.array: ...
def _get_per_layer_inputs(
self,
input_ids: Optional[mx.array],
input_embeddings: Optional[mx.array] = ...,
) -> mx.array: ...
def _project_per_layer_inputs(
self,
input_embeddings: mx.array,
per_layer_inputs: Optional[mx.array] = ...,
) -> mx.array: ...
def _make_masks(self, h: mx.array, cache: list[Any]) -> list[Any]: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
model: Gemma4TextModel
final_logit_softcapping: float
tie_word_embeddings: bool
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(self, *args: Any, **kwargs: Any) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[DecoderLayer]: ...
@property
def head_dim(self) -> int: ...
@property
def n_kv_heads(self) -> int: ...
@property
def quant_predicate(self) -> Any: ...
def make_cache(self) -> list[KVCache | RotatingKVCache]: ...
@@ -1,46 +0,0 @@
"""Type stubs for mlx_lm.models.glm_moe_dsa"""
from dataclasses import dataclass
from typing import Any, Dict, Optional
from .base import BaseModelArgs
from .deepseek_v32 import Model as DSV32Model
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
vocab_size: int
hidden_size: int
index_head_dim: int
index_n_heads: int
index_topk: int
intermediate_size: int
moe_intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
n_shared_experts: Optional[int]
n_routed_experts: Optional[int]
routed_scaling_factor: float
kv_lora_rank: int
q_lora_rank: int
qk_rope_head_dim: int
v_head_dim: int
qk_nope_head_dim: int
topk_method: str
scoring_func: str
norm_topk_prob: bool
n_group: int
topk_group: int
num_experts_per_tok: int
moe_layer_freq: int
first_k_dense_replace: int
max_position_embeddings: int
rms_norm_eps: float
rope_parameters: Dict[str, Any]
attention_bias: bool
rope_scaling: Dict[str, Any] | None
rope_theta: float | None
class Model(DSV32Model):
def __init__(self, config: ModelArgs) -> None: ...
-103
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@@ -1,103 +0,0 @@
"""Type stubs for mlx_lm.models.gpt_oss"""
from dataclasses import dataclass
from typing import Any, List, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .cache import KVCache
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
hidden_size: int
intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
num_local_experts: int
num_experts_per_tok: int
vocab_size: int
rms_norm_eps: float
sliding_window: int
layer_types: Optional[List[str]]
def mlx_topk(a: mx.array, k: int, axis: int = -1) -> tuple[mx.array, mx.array]: ...
class AttentionBlock(nn.Module):
head_dim: int
num_attention_heads: int
num_key_value_heads: int
num_key_value_groups: int
sinks: mx.array
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
sm_scale: float
rope: nn.Module
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class TransformerBlock(nn.Module):
self_attn: AttentionBlock
mlp: MLPBlock
def __init__(self, config: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class MLPBlock(nn.Module):
hidden_size: int
num_local_experts: int
num_experts_per_tok: int
experts: SwitchGLU
router: nn.Linear
sharding_group: Optional[mx.distributed.Group]
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class GptOssMoeModel(nn.Module):
embed_tokens: nn.Embedding
norm: nn.RMSNorm
layer_types: List[str]
layers: list[TransformerBlock]
window_size: int
swa_idx: int
ga_idx: int
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
model_type: str
model: GptOssMoeModel
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def layers(self) -> list[nn.Module]: ...
def make_cache(self) -> list[KVCache]: ...
-94
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@@ -1,94 +0,0 @@
"""Type stubs for mlx_lm.models.minimax"""
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .base import BaseModelArgs
from .switch_layers import SwitchGLU
@dataclass
class ModelArgs(BaseModelArgs):
model_type: str
hidden_size: int
intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
num_key_value_heads: int
num_local_experts: int
num_experts_per_tok: int
max_position_embeddings: int
class MiniMaxAttention(nn.Module):
num_heads: int
num_attention_heads: int
num_key_value_heads: int
head_dim: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
q_norm: nn.Module
k_norm: nn.Module
rope: nn.Module
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class MiniMaxSparseMoeBlock(nn.Module):
num_experts_per_tok: int
gate: nn.Linear
switch_mlp: SwitchGLU
e_score_correction_bias: mx.array
sharding_group: Optional[mx.distributed.Group]
def __init__(self, args: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class MiniMaxDecoderLayer(nn.Module):
self_attn: MiniMaxAttention
block_sparse_moe: MiniMaxSparseMoeBlock
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class MiniMaxModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[MiniMaxDecoderLayer]
norm: nn.RMSNorm
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
model_type: str
model: MiniMaxModel
lm_head: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def layers(self) -> list[MiniMaxDecoderLayer]: ...
-168
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@@ -1,168 +0,0 @@
from dataclasses import dataclass
from typing import Any, List, Optional, Tuple
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .switch_layers import SwitchMLP
@dataclass
class ModelArgs:
model_type: str
vocab_size: int
hidden_size: int
intermediate_size: int
num_hidden_layers: int
max_position_embeddings: int
num_attention_heads: int
num_key_value_heads: int
attention_bias: bool
mamba_num_heads: int
mamba_head_dim: int
mamba_proj_bias: bool
ssm_state_size: int
conv_kernel: int
n_groups: int
mlp_bias: bool
layer_norm_epsilon: float
use_bias: bool
use_conv_bias: bool
hybrid_override_pattern: List[str]
head_dim: Optional[int]
moe_intermediate_size: Optional[int]
moe_shared_expert_intermediate_size: Optional[int]
n_group: Optional[int]
n_routed_experts: Optional[int]
n_shared_experts: Optional[int]
topk_group: Optional[int]
num_experts_per_tok: Optional[int]
norm_topk_prob: Optional[bool]
routed_scaling_factor: Optional[float]
time_step_limit: Optional[Tuple[float, float]]
time_step_min: Optional[float]
time_step_max: Optional[float]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
def __post_init__(self) -> None: ...
class NemotronHMamba2Mixer(nn.Module):
num_heads: int
hidden_size: int
ssm_state_size: int
conv_kernel_size: int
intermediate_size: int
n_groups: int
head_dim: int
conv_dim: int
conv1d: nn.Conv1d
in_proj: nn.Linear
dt_bias: mx.array
A_log: mx.array
D: mx.array
norm: nn.RMSNorm
heads_per_group: int
out_proj: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
hidden_states: mx.array,
mask: Optional[mx.array],
cache: Optional[ArraysCache] = None,
) -> mx.array: ...
class NemotronHAttention(nn.Module):
hidden_size: int
num_heads: int
head_dim: int
num_key_value_heads: int
scale: float
q_proj: nn.Linear
k_proj: nn.Linear
v_proj: nn.Linear
o_proj: nn.Linear
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[KVCache] = None,
) -> mx.array: ...
class MoEGate(nn.Module):
config: ModelArgs
top_k: int
norm_topk_prob: bool
weight: mx.array
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> tuple[mx.array, mx.array]: ...
class NemotronHMLP(nn.Module):
up_proj: nn.Linear
down_proj: nn.Linear
def __init__(
self, args: ModelArgs, intermediate_size: Optional[int] = None
) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class NemotronHMoE(nn.Module):
config: ModelArgs
num_experts_per_tok: int
moe_latent_size: Optional[int]
switch_mlp: SwitchMLP
gate: MoEGate
shared_experts: NemotronHMLP
fc1_latent_proj: nn.Linear
fc2_latent_proj: nn.Linear
def __init__(self, config: ModelArgs) -> None: ...
def __call__(self, x: mx.array) -> mx.array: ...
class NemotronHBlock(nn.Module):
block_type: str
norm: nn.RMSNorm
mixer: NemotronHMamba2Mixer | NemotronHAttention | NemotronHMLP | NemotronHMoE
def __init__(self, args: ModelArgs, block_type: str) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class NemotronHModel(nn.Module):
embeddings: nn.Embedding
layers: list[NemotronHBlock]
norm_f: nn.RMSNorm
fa_idx: int
ssm_idx: int
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
class Model(nn.Module):
args: ModelArgs
backbone: NemotronHModel
lm_head: nn.Linear
model_type: str
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
) -> mx.array: ...
@property
def layers(self) -> list[NemotronHBlock]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
-153
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@@ -1,153 +0,0 @@
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .qwen3_next import (
Qwen3NextAttention as Attention,
Qwen3NextMLP as MLP,
Qwen3NextRMSNormGated as RMSNormGated,
Qwen3NextSparseMoeBlock,
)
SparseMoeBlock = Qwen3NextSparseMoeBlock
from .switch_layers import SwitchGLU
@dataclass
class TextModelArgs:
model_type: str
hidden_size: int
intermediate_size: int
num_hidden_layers: int
num_attention_heads: int
rms_norm_eps: float
vocab_size: int
num_key_value_heads: int
max_position_embeddings: int
linear_num_value_heads: int
linear_num_key_heads: int
linear_key_head_dim: int
linear_value_head_dim: int
linear_conv_kernel_dim: int
tie_word_embeddings: bool
attention_bias: bool
head_dim: Optional[int]
full_attention_interval: int
num_experts: int
num_experts_per_tok: int
decoder_sparse_step: int
shared_expert_intermediate_size: int
moe_intermediate_size: int
norm_topk_prob: bool
rope_parameters: Optional[dict[str, Any]]
partial_rotary_factor: float
rope_theta: float
rope_scaling: Optional[dict[str, Any]]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> TextModelArgs: ...
def __post_init__(self) -> None: ...
class GatedDeltaNet(nn.Module):
hidden_size: int
num_v_heads: int
num_k_heads: int
head_k_dim: int
head_v_dim: int
key_dim: int
value_dim: int
conv_kernel_size: int
conv_dim: int
conv1d: nn.Conv1d
in_proj_qkv: nn.Linear
in_proj_z: nn.Linear
in_proj_b: nn.Linear
in_proj_a: nn.Linear
dt_bias: mx.array
A_log: mx.array
norm: RMSNormGated
out_proj: nn.Linear
def __init__(self, config: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class DecoderLayer(nn.Module):
is_linear: bool
linear_attn: GatedDeltaNet
self_attn: Attention
input_layernorm: nn.RMSNorm
post_attention_layernorm: nn.RMSNorm
mlp: MLP | SparseMoeBlock
def __init__(self, args: TextModelArgs, layer_idx: int) -> None: ...
def __call__(
self,
x: mx.array,
mask: Optional[mx.array] = None,
cache: Optional[Any] = None,
) -> mx.array: ...
class Qwen3_5TextModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[DecoderLayer]
norm: nn.RMSNorm
ssm_idx: int
fa_idx: int
def __init__(self, args: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
class TextModel(nn.Module):
args: TextModelArgs
model_type: str
model: Qwen3_5TextModel
lm_head: nn.Linear
def __init__(self, args: TextModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
@property
def layers(self) -> list[DecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@dataclass
class ModelArgs:
model_type: str
text_config: dict[str, Any]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
class Model(nn.Module):
args: ModelArgs
model_type: str
language_model: TextModel
def __init__(self, args: ModelArgs) -> None: ...
def __call__(
self,
inputs: mx.array,
cache: Optional[Any] = None,
input_embeddings: Optional[mx.array] = None,
) -> mx.array: ...
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[DecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
@@ -1,19 +0,0 @@
from dataclasses import dataclass
from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .qwen3_5 import DecoderLayer, Model as Qwen3_5Model, TextModel
@dataclass
class ModelArgs:
model_type: str
text_config: dict[str, Any]
@classmethod
def from_dict(cls, params: dict[str, Any]) -> ModelArgs: ...
class Model(Qwen3_5Model):
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
-14
View File
@@ -5,18 +5,8 @@ from typing import Any, Optional
import mlx.core as mx
import mlx.nn as nn
from .cache import ArraysCache, KVCache
from .switch_layers import SwitchGLU
class Qwen3NextRMSNormGated(nn.Module):
eps: float
weight: mx.array
def __init__(self, hidden_size: int, eps: float = ...) -> None: ...
def __call__(
self, hidden_states: mx.array, gate: mx.array | None = None
) -> mx.array: ...
class Qwen3NextMLP(nn.Module):
gate_proj: nn.Linear
down_proj: nn.Linear
@@ -71,7 +61,6 @@ class Qwen3NextAttention(nn.Module):
class Qwen3NextSparseMoeBlock(nn.Module):
norm_topk_prob: bool
num_experts: int
num_experts_per_tok: int
top_k: int
gate: nn.Linear
switch_mlp: SwitchGLU
@@ -101,8 +90,6 @@ class Qwen3NextModel(nn.Module):
embed_tokens: nn.Embedding
layers: list[Qwen3NextDecoderLayer]
norm: nn.RMSNorm
ssm_idx: int
fa_idx: int
def __init__(self, args: Any) -> None: ...
def __call__(
@@ -125,4 +112,3 @@ class Model(nn.Module):
def sanitize(self, weights: dict[str, Any]) -> dict[str, Any]: ...
@property
def layers(self) -> list[Qwen3NextDecoderLayer]: ...
def make_cache(self) -> list[ArraysCache | KVCache]: ...
-51
View File
@@ -1,51 +0,0 @@
from typing import Any, Optional
import mlx.nn as nn
class YarnRoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
scaling_factor: float = ...,
original_max_position_embeddings: int = ...,
beta_fast: float = ...,
beta_slow: float = ...,
mscale: float = ...,
mscale_all_dim: float = ...,
) -> None: ...
class Llama3RoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
scaling_factor: float = ...,
original_max_position_embeddings: int = ...,
low_freq_factor: float = ...,
high_freq_factor: float = ...,
) -> None: ...
class SuScaledRoPE(nn.Module):
def __init__(
self,
dims: int,
traditional: bool = ...,
max_position_embeddings: int = ...,
base: float = ...,
short_factor: Any = ...,
long_factor: Any = ...,
original_max_position_embeddings: int = ...,
) -> None: ...
def initialize_rope(
dims: int,
base: float = ...,
traditional: bool = ...,
scaling_config: Optional[dict[str, Any]] = ...,
max_position_embeddings: Optional[int] = ...,
) -> nn.Module: ...
@@ -73,9 +73,6 @@ class SwitchGLU(nn.Module):
def __call__(self, x, indices) -> mx.array: ...
class SwitchMLP(nn.Module):
fc1: SwitchLinear
fc2: SwitchLinear
def __init__(
self,
input_dims: int,
+1 -5
View File
@@ -48,11 +48,7 @@ def make_logits_processors(
logit_bias: Optional[Dict[int, float]] = ...,
repetition_penalty: Optional[float] = ...,
repetition_context_size: Optional[int] = ...,
presence_penalty: Optional[float] = ...,
presence_context_size: Optional[int] = ...,
frequency_penalty: Optional[float] = ...,
frequency_context_size: Optional[int] = ...,
) -> list[Callable[[mx.array, mx.array], mx.array]]:
): # -> list[Any]:
"""
Make logits processors for use with ``generate_step``.
+4 -6
View File
@@ -39,11 +39,11 @@ class StreamingDetokenizer:
"""
__slots__ = ...
def reset(self) -> None: ...
def add_token(self, token: int) -> None: ...
def finalize(self) -> None: ...
def reset(self): ...
def add_token(self, token): ...
def finalize(self): ...
@property
def last_segment(self) -> str:
def last_segment(self):
"""Return the last segment of readable text since last time this property was accessed."""
class NaiveStreamingDetokenizer(StreamingDetokenizer):
@@ -117,8 +117,6 @@ class TokenizerWrapper:
think_end: str | None
think_start_id: int | None
think_end_id: int | None
think_start_tokens: list[int] | None
think_end_tokens: list[int] | None
def __init__(
self,
-50
View File
@@ -1,50 +0,0 @@
"""
This type stub file was generated by pyright.
"""
import mlx.nn as nn
class DoRALinear(nn.Module):
@staticmethod
def from_base(
linear: nn.Linear, r: int = ..., dropout: float = ..., scale: float = ...
): # -> DoRALinear:
...
def fuse(self, dequantize: bool = ...): # -> QuantizedLinear | Linear:
...
def __init__(
self,
input_dims: int,
output_dims: int,
r: int = ...,
dropout: float = ...,
scale: float = ...,
bias: bool = ...,
) -> None: ...
def set_linear(self, linear): # -> None:
"""
Set the self.linear layer and recompute self.m.
"""
...
def __call__(self, x): ...
class DoRAEmbedding(nn.Module):
def from_base(
embedding: nn.Embedding, r: int = ..., dropout: float = ..., scale: float = ...
): # -> DoRAEmbedding:
...
def fuse(self, dequantize: bool = ...): # -> Embedding:
...
def __init__(
self,
num_embeddings: int,
dims: int,
r: int = ...,
dropout: float = ...,
scale: float = ...,
) -> None: ...
def set_embedding(self, embedding: nn.Module): # -> None:
...
def __call__(self, x): ...
def as_linear(self, x): ...
-66
View File
@@ -1,66 +0,0 @@
"""
This type stub file was generated by pyright.
"""
import mlx.nn as nn
class LoRALinear(nn.Module):
@staticmethod
def from_base(
linear: nn.Linear, r: int = ..., dropout: float = ..., scale: float = ...
): # -> LoRALinear:
...
def fuse(self, dequantize: bool = ...): # -> QuantizedLinear | Linear:
...
def __init__(
self,
input_dims: int,
output_dims: int,
r: int = ...,
dropout: float = ...,
scale: float = ...,
bias: bool = ...,
) -> None: ...
def __call__(self, x): # -> array:
...
class LoRASwitchLinear(nn.Module):
@staticmethod
def from_base(
linear: nn.Module, r: int = ..., dropout: float = ..., scale: float = ...
): # -> LoRASwitchLinear:
...
def fuse(self, dequantize: bool = ...): # -> QuantizedSwitchLinear | SwitchLinear:
...
def __init__(
self,
input_dims: int,
output_dims: int,
num_experts: int,
r: int = ...,
dropout: float = ...,
scale: float = ...,
bias: bool = ...,
) -> None: ...
def __call__(self, x, indices, sorted_indices=...): ...
class LoRAEmbedding(nn.Module):
@staticmethod
def from_base(
embedding: nn.Embedding, r: int = ..., dropout: float = ..., scale: float = ...
): # -> LoRAEmbedding:
...
def fuse(self, dequantize: bool = ...): # -> QuantizedEmbedding | Embedding:
...
def __init__(
self,
num_embeddings: int,
dims: int,
r: int = ...,
dropout: float = ...,
scale: float = ...,
) -> None: ...
def __call__(self, x): # -> array:
...
def as_linear(self, x): # -> array:
...
-57
View File
@@ -1,57 +0,0 @@
"""
This type stub file was generated by pyright.
"""
import mlx.nn as nn
from typing import Dict
def build_schedule(schedule_config: Dict): # -> Any:
"""
Build a learning rate schedule from the given config.
"""
...
def linear_to_lora_layers(
model: nn.Module, num_layers: int, config: Dict, use_dora: bool = ...
): # -> None:
"""
Convert some of the models linear layers to lora layers.
Args:
model (nn.Module): The neural network model.
num_layers (int): The number of blocks to convert to lora layers
starting from the last layer.
config (dict): More configuration parameters for LoRA, including the
rank, scale, and optional layer keys.
use_dora (bool): If True, uses DoRA instead of LoRA.
Default: ``False``
"""
...
def load_adapters(model: nn.Module, adapter_path: str) -> nn.Module:
"""
Load any fine-tuned adapters / layers.
Args:
model (nn.Module): The neural network model.
adapter_path (str): Path to the adapter configuration file.
Returns:
nn.Module: The updated model with LoRA layers applied.
"""
...
def remove_lora_layers(model: nn.Module) -> nn.Module:
"""
Remove the LoRA layers from the model.
Args:
model (nn.Module): The model with LoRA layers.
Returns:
nn.Module: The model without LoRA layers.
"""
...
def print_trainable_parameters(model): # -> None:
...
View File
Whitespace-only changes.
-12
View File
@@ -1,12 +0,0 @@
from typing import Any
def get_message_json(
model_name: str,
prompt: str,
role: str = "user",
skip_image_token: bool = False,
skip_audio_token: bool = False,
num_images: int = 0,
num_audios: int = 0,
**kwargs: Any,
) -> dict[str, Any]: ...
-15
View File
@@ -1,15 +0,0 @@
from pathlib import Path
from typing import Any
class ImageProcessor:
def preprocess(
self, images: list[dict[str, Any]], **kwargs: Any
) -> dict[str, Any]: ...
def __call__(self, **kwargs: Any) -> dict[str, Any]: ...
def load_image_processor(
model_path: str | Path, **kwargs: Any
) -> ImageProcessor | None: ...
def load_processor(
model_path: str | Path, add_detokenizer: bool = ..., **kwargs: Any
) -> ImageProcessor: ...
-8
View File
@@ -1,8 +0,0 @@
from typing import Any, Self
class safe_open:
def __init__(self, filename: str, framework: str = "pt") -> None: ...
def __enter__(self) -> Self: ...
def __exit__(self, *args: Any) -> None: ...
def keys(self) -> list[str]: ...
def get_tensor(self, name: str) -> Any: ...
+1 -2
View File
@@ -1,8 +1,7 @@
{
"recommendations": [
"detachhead.basedpyright",
"ms-python.python",
"jnoortheen.nix-ide"
"ms-python.python"
],
"unwantedRecommendations": [
"ms-python.vscode-pylance",
+1 -30
View File
@@ -1,32 +1,3 @@
{
"files.associations": {
"*.nix": "nix",
},
"nix.enableLanguageServer": true,
"nix.serverPath": "nixd",
"nix.serverSettings": {
"nixd": {
"formatting": {
"command": ["nixpkgs-fmt"]
},
"nixpkgs": {
"expr": "(builtins.getFlake \"path:${workspaceFolder}\").currentSystem.config._module.args.pkgs"
},
"options": {
"flake-parts": {
"expr": "(builtins.getFlake \"path:${workspaceFolder}\").debug.options"
},
"flake-parts-perSystem": {
"expr": "(builtins.getFlake \"path:${workspaceFolder}\").currentSystem.options"
}
}
}
},
"[nix]": {
"editor.defaultFormatter": "jnoortheen.nix-ide"
},
"python.defaultInterpreterPath": "${workspaceFolder}/.venv/bin/python",
"basedpyright.analysis.configFilePath": "${workspaceFolder}/pyproject.toml",
"basedpyright.importStrategy": "fromEnvironment",
"basedpyright.importStrategy": "fromEnvironment"
}
+1 -123
View File
@@ -11,18 +11,9 @@ To run EXO from source:
```bash
brew install uv
```
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
```bash
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup toolchain install nightly
```
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
Use the pinned fork revision used by this repo instead of Homebrew `macmon`.
```bash
cargo install --git https://github.com/vladkens/macmon \
--rev a1cd06b6cc0d5e61db24fd8832e74cd992097a7d \
macmon \
--force
brew install macmon
```
```bash
@@ -48,119 +39,6 @@ Write pure functions where possible. When adding new code, prefer Rust unless th
Run `nix fmt` to auto-format your code before submitting.
## Model Cards
EXO uses TOML-based model cards to define model metadata and capabilities. Model cards are stored in:
- `resources/inference_model_cards/` for text generation models
- `resources/image_model_cards/` for image generation models
- `~/.exo/custom_model_cards/` for user-added custom models
### Adding a Model Card
To add a new model, create a TOML file with the following structure:
```toml
model_id = "mlx-community/Llama-3.2-1B-Instruct-4bit"
n_layers = 16
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "llama"
quantization = "4bit"
base_model = "Llama 3.2 1B"
capabilities = ["text"]
[storage_size]
in_bytes = 729808896
```
### Required Fields
- `model_id`: Hugging Face model identifier
- `n_layers`: Number of transformer layers
- `hidden_size`: Hidden dimension size
- `supports_tensor`: Whether the model supports tensor parallelism
- `tasks`: List of supported tasks (`TextGeneration`, `TextToImage`, `ImageToImage`)
- `family`: Model family (e.g., "llama", "deepseek", "qwen")
- `quantization`: Quantization level (e.g., "4bit", "8bit", "bf16")
- `base_model`: Human-readable base model name
- `capabilities`: List of capabilities (e.g., `["text"]`, `["text", "thinking"]`)
### Optional Fields
- `components`: For multi-component models (like image models with separate text encoders and transformers)
- `uses_cfg`: Whether the model uses classifier-free guidance (for image models)
- `trust_remote_code`: Whether to allow remote code execution (defaults to `false` for security)
### Capabilities
The `capabilities` field defines what the model can do:
- `text`: Standard text generation
- `thinking`: Model supports chain-of-thought reasoning
- `thinking_toggle`: Thinking can be enabled/disabled via `enable_thinking` parameter
- `image_edit`: Model supports image-to-image editing (FLUX.1-Kontext)
### Security Note
By default, `trust_remote_code` is set to `false` for security. Only enable it if the model explicitly requires remote code execution from the Hugging Face hub.
## API Adapters
EXO supports multiple API formats through an adapter pattern. Adapters convert API-specific request formats to the internal `TextGenerationTaskParams` format and convert internal token chunks back to API-specific responses.
### Adapter Architecture
All adapters live in `src/exo/master/adapters/` and follow the same pattern:
1. Convert API-specific requests to `TextGenerationTaskParams`
2. Handle both streaming and non-streaming response generation
3. Convert internal `TokenChunk` objects to API-specific formats
4. Manage error handling and edge cases
### Existing Adapters
- `chat_completions.py`: OpenAI Chat Completions API
- `claude.py`: Anthropic Claude Messages API
- `responses.py`: OpenAI Responses API
- `ollama.py`: Ollama API (for OpenWebUI compatibility)
### Adding a New API Adapter
To add support for a new API format:
1. Create a new adapter file in `src/exo/master/adapters/`
2. Implement a request conversion function:
```python
def your_api_request_to_text_generation(
request: YourAPIRequest,
) -> TextGenerationTaskParams:
# Convert API request to internal format
pass
```
3. Implement streaming response generation:
```python
async def generate_your_api_stream(
command_id: CommandId,
chunk_stream: AsyncGenerator[TokenChunk | ErrorChunk | ToolCallChunk, None],
) -> AsyncGenerator[str, None]:
# Convert internal chunks to API-specific streaming format
pass
```
4. Implement non-streaming response collection:
```python
async def collect_your_api_response(
command_id: CommandId,
chunk_stream: AsyncGenerator[TokenChunk | ErrorChunk | ToolCallChunk, None],
) -> AsyncGenerator[str]:
# Collect all chunks and return single response
pass
```
5. Register the adapter endpoints in `src/exo/master/api.py`
The adapter pattern keeps API-specific logic isolated from core inference systems. Internal systems (worker, runner, event sourcing) only see `TextGenerationTaskParams` and `TokenChunk` objects - no API-specific types cross the adapter boundary.
For detailed API documentation, see [docs/api.md](docs/api.md).
## Testing
EXO relies heavily on manual testing at this point in the project, but this is evolving. Before submitting a change, test both before and after to demonstrate how your change improves behavior. Do the best you can with the hardware you have available - if you need help testing, ask and we'll do our best to assist. Add automated tests where possible - we're actively working to substantially improve our automated testing story.
Generated
+125 -35
View File
@@ -141,6 +141,12 @@ version = "0.3.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "76a2e8124351fda1ef8aaaa3bbd7ebbcb486bbcd4225aca0aa0d84bb2db8fecb"
[[package]]
name = "arrayvec"
version = "0.7.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
[[package]]
name = "asn1-rs"
version = "0.7.1"
@@ -216,28 +222,6 @@ dependencies = [
"windows-sys 0.61.2",
]
[[package]]
name = "async-stream"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0b5a71a6f37880a80d1d7f19efd781e4b5de42c88f0722cc13bcb6cc2cfe8476"
dependencies = [
"async-stream-impl",
"futures-core",
"pin-project-lite",
]
[[package]]
name = "async-stream-impl"
version = "0.3.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c7c24de15d275a1ecfd47a380fb4d5ec9bfe0933f309ed5e705b775596a3574d"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "async-trait"
version = "0.1.89"
@@ -320,6 +304,19 @@ version = "1.8.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "55248b47b0caf0546f7988906588779981c43bb1bc9d0c44087278f80cdb44ba"
[[package]]
name = "bigdecimal"
version = "0.4.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "560f42649de9fa436b73517378a147ec21f6c997a546581df4b4b31677828934"
dependencies = [
"autocfg",
"libm",
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "bimap"
version = "0.6.3"
@@ -519,6 +516,15 @@ version = "0.4.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "2f421161cb492475f1661ddc9815a745a1c894592070661180fdec3d4872e9c3"
[[package]]
name = "convert_case"
version = "0.10.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "633458d4ef8c78b72454de2d54fd6ab2e60f9e02be22f3c6104cdc8a4e0fceb9"
dependencies = [
"unicode-segmentation",
]
[[package]]
name = "core-foundation"
version = "0.9.4"
@@ -740,6 +746,29 @@ dependencies = [
"powerfmt",
]
[[package]]
name = "derive_more"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "10b768e943bed7bf2cab53df09f4bc34bfd217cdb57d971e769874c9a6710618"
dependencies = [
"derive_more-impl",
]
[[package]]
name = "derive_more-impl"
version = "2.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6d286bfdaf75e988b4a78e013ecd79c581e06399ab53fbacd2d916c2f904f30b"
dependencies = [
"convert_case",
"proc-macro2",
"quote",
"rustc_version",
"syn 2.0.111",
"unicode-xid",
]
[[package]]
name = "digest"
version = "0.10.7"
@@ -910,17 +939,22 @@ name = "exo_pyo3_bindings"
version = "0.0.1"
dependencies = [
"delegate",
"derive_more",
"env_logger",
"extend",
"futures-lite",
"futures",
"impl-trait-for-tuples",
"libp2p",
"log",
"networking",
"once_cell",
"pin-project",
"pyo3",
"pyo3-async-runtimes",
"pyo3-log",
"pyo3-stub-gen",
"thiserror 2.0.17",
"thread_local",
"tokio",
"util",
]
@@ -936,12 +970,6 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "fastrand"
version = "2.3.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37909eebbb50d72f9059c3b6d82c0463f2ff062c9e95845c43a6c9c0355411be"
[[package]]
name = "ff"
version = "0.13.1"
@@ -1050,10 +1078,7 @@ version = "2.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f78e10609fe0e0b3f4157ffab1876319b5b0db102a2c60dc4626306dc46b44ad"
dependencies = [
"fastrand",
"futures-core",
"futures-io",
"parking",
"pin-project-lite",
]
@@ -1615,6 +1640,17 @@ dependencies = [
"xmltree",
]
[[package]]
name = "impl-trait-for-tuples"
version = "0.2.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a0eb5a3343abf848c0984fe4604b2b105da9539376e24fc0a3b0007411ae4fd9"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "indexmap"
version = "2.12.1"
@@ -1793,6 +1829,12 @@ version = "0.2.178"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "37c93d8daa9d8a012fd8ab92f088405fb202ea0b6ab73ee2482ae66af4f42091"
[[package]]
name = "libm"
version = "0.2.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f9fbbcab51052fe104eb5e5d351cf728d30a5be1fe14d9be8a3b097481fb97de"
[[package]]
name = "libp2p"
version = "0.56.0"
@@ -2781,16 +2823,17 @@ dependencies = [
name = "networking"
version = "0.0.1"
dependencies = [
"async-stream",
"delegate",
"derive_more",
"either",
"extend",
"futures-lite",
"futures",
"futures-timer",
"impl-trait-for-tuples",
"keccak-const",
"libp2p",
"log",
"pin-project",
"thiserror 2.0.17",
"tokio",
"tracing-subscriber",
"util",
@@ -2875,6 +2918,17 @@ dependencies = [
"num-traits",
]
[[package]]
name = "num-rational"
version = "0.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f83d14da390562dca69fc84082e73e548e1ad308d24accdedd2720017cb37824"
dependencies = [
"num-bigint",
"num-integer",
"num-traits",
]
[[package]]
name = "num-traits"
version = "0.2.19"
@@ -3225,14 +3279,28 @@ version = "0.27.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ab53c047fcd1a1d2a8820fe84f05d6be69e9526be40cb03b73f86b6b03e6d87d"
dependencies = [
"bigdecimal",
"either",
"hashbrown 0.16.1",
"indexmap",
"indoc",
"inventory",
"libc",
"lock_api",
"memoffset",
"num-bigint",
"num-complex",
"num-rational",
"num-traits",
"once_cell",
"ordered-float",
"parking_lot",
"portable-atomic",
"pyo3-build-config",
"pyo3-ffi",
"pyo3-macros",
"rust_decimal",
"smallvec",
"unindent",
]
@@ -3673,6 +3741,16 @@ dependencies = [
"tokio",
]
[[package]]
name = "rust_decimal"
version = "1.39.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "35affe401787a9bd846712274d97654355d21b2a2c092a3139aabe31e9022282"
dependencies = [
"arrayvec",
"num-traits",
]
[[package]]
name = "rustc-hash"
version = "1.1.0"
@@ -4537,12 +4615,24 @@ version = "1.0.22"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9312f7c4f6ff9069b165498234ce8be658059c6728633667c526e27dc2cf1df5"
[[package]]
name = "unicode-segmentation"
version = "1.12.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f6ccf251212114b54433ec949fd6a7841275f9ada20dddd2f29e9ceea4501493"
[[package]]
name = "unicode-width"
version = "0.2.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b4ac048d71ede7ee76d585517add45da530660ef4390e49b098733c6e897f254"
[[package]]
name = "unicode-xid"
version = "0.2.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
[[package]]
name = "unicode_names2"
version = "1.3.0"
+35 -3
View File
@@ -1,6 +1,10 @@
[workspace]
resolver = "3"
members = ["rust/networking", "rust/exo_pyo3_bindings", "rust/util"]
members = [
"rust/networking",
"rust/exo_pyo3_bindings",
"rust/util",
]
[workspace.package]
version = "0.0.1"
@@ -22,21 +26,49 @@ opt-level = 3
networking = { path = "rust/networking" }
util = { path = "rust/util" }
# Proc-macro authoring tools
syn = "2.0"
quote = "1.0"
proc-macro2 = "1.0"
darling = "0.20"
# Macro dependecies
extend = "1.2"
delegate = "0.13"
impl-trait-for-tuples = "0.2"
clap = "4.5"
derive_more = { version = "2.0.1", features = ["display"] }
pin-project = "1"
# Utility dependencies
itertools = "0.14"
thiserror = "2"
internment = "0.8"
recursion = "0.5"
regex = "1.11"
once_cell = "1.21"
thread_local = "1.1"
bon = "3.4"
generativity = "1.1"
anyhow = "1.0"
keccak-const = "0.2"
# Functional generics/lenses frameworks
frunk_core = "0.4"
frunk = "0.4"
frunk_utils = "0.2"
frunk-enum-core = "0.3"
# Async dependencies
async-stream = "0.3"
tokio = "1.46"
futures-lite = "2.6.1"
futures = "0.3"
futures-util = "0.3"
futures-timer = "3.0"
# Data structures
either = "1.15"
ordered-float = "5.0"
ahash = "0.8"
# Tracing/logging
log = "0.4"
+6 -148
View File
@@ -26,8 +26,6 @@ exo connects all your devices into an AI cluster. Not only does exo enable runni
- **Topology-Aware Auto Parallel**: exo figures out the best way to split your model across all available devices based on a realtime view of your device topology. It takes into account device resources and network latency/bandwidth between each link.
- **Tensor Parallelism**: exo supports sharding models, for up to 1.8x speedup on 2 devices and 3.2x speedup on 4 devices.
- **MLX Support**: exo uses [MLX](https://github.com/ml-explore/mlx) as an inference backend and [MLX distributed](https://ml-explore.github.io/mlx/build/html/usage/distributed.html) for distributed communication.
- **Multiple API Compatibility**: Compatible with OpenAI Chat Completions API, Claude Messages API, OpenAI Responses API, and Ollama API - use your existing tools and clients.
- **Custom Model Support**: Load custom models from HuggingFace hub to expand the range of available models.
## Dashboard
@@ -74,31 +72,18 @@ There are two ways to run exo:
### Run from Source (macOS)
If you have [Nix](https://nixos.org/) installed, you can skip most of the steps below and run exo directly:
```bash
nix run .#exo
```
**Note:** To accept the Cachix binary cache (and avoid the Xcode Metal ToolChain), add to `/etc/nix/nix.conf`:
```
trusted-users = root (or your username)
experimental-features = nix-command flakes
```
Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-daemon`
**Prerequisites:**
- [Xcode](https://developer.apple.com/xcode/) (provides the Metal ToolChain required for MLX compilation)
- [brew](https://github.com/Homebrew/brew) (for simple package management on macOS)
```bash
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```
- [uv](https://github.com/astral-sh/uv) (for Python dependency management)
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
- [node](https://github.com/nodejs/node) (for building the dashboard)
```bash
brew install uv node
brew install uv macmon node
```
- [rust](https://github.com/rust-lang/rustup) (to build Rust bindings, nightly for now)
@@ -106,17 +91,6 @@ Then restart the Nix daemon: `sudo launchctl kickstart -k system/org.nixos.nix-d
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup toolchain install nightly
```
- [macmon](https://github.com/vladkens/macmon) (for hardware monitoring on Apple Silicon)
Install the pinned fork revision used by this repo instead of Homebrew `macmon`.
Homebrew `macmon 0.6.1` still crashes on Apple M5.
```bash
cargo install --git https://github.com/vladkens/macmon \
--rev a1cd06b6cc0d5e61db24fd8832e74cd992097a7d \
macmon \
--force
```
Clone the repo, build the dashboard, and run exo:
@@ -208,8 +182,6 @@ exo follows the [XDG Base Directory Specification](https://specifications.freede
- **Configuration files**: `~/.config/exo/` (or `$XDG_CONFIG_HOME/exo/`)
- **Data files**: `~/.local/share/exo/` (or `$XDG_DATA_HOME/exo/`)
- **Cache files**: `~/.cache/exo/` (or `$XDG_CACHE_HOME/exo/`)
- **Log files**: `~/.cache/exo/exo_log/` (with automatic log rotation)
- **Custom model cards**: `~/.local/share/exo/custom_model_cards/`
You can override these locations by setting the corresponding XDG environment variables.
@@ -289,51 +261,8 @@ After that, RDMA will be enabled in macOS and exo will take care of the rest.
---
## Environment Variables
exo supports several environment variables for configuration:
| Variable | Description | Default |
|----------|-------------|---------|
| `EXO_DEFAULT_MODELS_DIR` | Default directory for model downloads and caches. Always first in the writable dirs list. | `~/.local/share/exo/models` (Linux) or `~/.exo/models` (macOS) |
| `EXO_MODELS_DIRS` | Colon-separated additional writable directories for model downloads. Checked in order after the default; first with enough free space is used. | None |
| `EXO_MODELS_READ_ONLY_DIRS` | Colon-separated read-only directories to search for pre-downloaded models (e.g., NFS mounts, shared storage). Models here cannot be deleted. | None |
| `EXO_OFFLINE` | Run without internet connection (uses only local models) | `false` |
| `EXO_ENABLE_IMAGE_MODELS` | Enable image model support | `false` |
| `EXO_LIBP2P_NAMESPACE` | Custom namespace for cluster isolation | None |
| `EXO_FAST_SYNCH` | Control MLX_METAL_FAST_SYNCH behavior (for JACCL backend) | Auto |
| `EXO_TRACING_ENABLED` | Enable distributed tracing for performance analysis | `false` |
**Example usage:**
```bash
# Use pre-downloaded models from NFS mount (read-only)
EXO_MODELS_READ_ONLY_DIRS=/mnt/nfs/models:/opt/ai-models uv run exo
# Download models to an external SSD (falls back to default dir if full)
EXO_MODELS_DIRS=/Volumes/ExternalSSD/exo-models uv run exo
# Run in offline mode
EXO_OFFLINE=true uv run exo
# Enable image models
EXO_ENABLE_IMAGE_MODELS=true uv run exo
# Use custom namespace for cluster isolation
EXO_LIBP2P_NAMESPACE=my-dev-cluster uv run exo
```
---
### Using the API
exo provides multiple API-compatible interfaces for maximum compatibility with existing tools:
- **OpenAI Chat Completions API** - Compatible with OpenAI clients
- **Claude Messages API** - Compatible with Anthropic's Claude format
- **OpenAI Responses API** - Compatible with OpenAI's Responses format
- **Ollama API** - Compatible with Ollama and tools like OpenWebUI
If you prefer to interact with exo via the API, here is an example creating an instance of a small model (`mlx-community/Llama-3.2-1B-Instruct-4bit`), sending a chat completions request and deleting the instance.
---
@@ -423,85 +352,14 @@ When you're done, delete the instance by its ID (find it via `/state` or `/insta
curl -X DELETE http://localhost:52415/instance/YOUR_INSTANCE_ID
```
### Claude Messages API Compatibility
Use the Claude Messages API format with the `/v1/messages` endpoint:
```bash
curl -N -X POST http://localhost:52415/v1/messages \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"max_tokens": 1024,
"stream": true
}'
```
### OpenAI Responses API Compatibility
Use the OpenAI Responses API format with the `/v1/responses` endpoint:
```bash
curl -N -X POST http://localhost:52415/v1/responses \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"stream": true
}'
```
### Ollama API Compatibility
exo supports Ollama API endpoints for compatibility with tools like OpenWebUI:
```bash
# Ollama chat
curl -X POST http://localhost:52415/ollama/api/chat \
-H 'Content-Type: application/json' \
-d '{
"model": "mlx-community/Llama-3.2-1B-Instruct-4bit",
"messages": [
{"role": "user", "content": "Hello"}
],
"stream": false
}'
# List models (Ollama format)
curl http://localhost:52415/ollama/api/tags
```
### Custom Model Loading from HuggingFace
You can add custom models from the HuggingFace hub:
```bash
curl -X POST http://localhost:52415/models/add \
-H 'Content-Type: application/json' \
-d '{
"model_id": "mlx-community/my-custom-model"
}'
```
**Security Note:**
Custom models requiring `trust_remote_code` in their configuration must be explicitly enabled (default is false) for security. Only enable this if you trust the model's remote code execution. Models are fetched from HuggingFace and stored locally as custom model cards.
**Other useful API endpoints*:**
- List all models: `curl http://localhost:52415/models`
- List downloaded models only: `curl http://localhost:52415/models?status=downloaded`
- Search HuggingFace: `curl "http://localhost:52415/models/search?query=llama&limit=10"`
- Inspect instance IDs and deployment state: `curl http://localhost:52415/state`
For further details, see:
- API documentation in [docs/api.md](docs/api.md).
- API basic documentation in [docs/api.md](docs/api.md).
- API types and endpoints in [src/exo/master/api.py](src/exo/master/api.py).
---
@@ -560,4 +418,4 @@ On macOS, exo uses the GPU. On Linux, exo currently runs on CPU. We are working
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute to exo.
See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on how to contribute to exo.
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}
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<?xml version="1.0" encoding="UTF-8"?>
<Workspace
version = "1.0">
<FileRef
location = "self:">
</FileRef>
</Workspace>
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"pins" : [
{
"identity" : "mlx-swift",
"kind" : "remoteSourceControl",
"location" : "https://github.com/ml-explore/mlx-swift",
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"location" : "https://github.com/ml-explore/mlx-swift-lm",
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}
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"identity" : "swift-jinja",
"kind" : "remoteSourceControl",
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}
},
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"identity" : "swift-numerics",
"kind" : "remoteSourceControl",
"location" : "https://github.com/apple/swift-numerics",
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"revision" : "0c0290ff6b24942dadb83a929ffaaa1481df04a2",
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}
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"identity" : "swift-transformers",
"kind" : "remoteSourceControl",
"location" : "https://github.com/huggingface/swift-transformers",
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{
"colors" : [
{
"color" : {
"color-space" : "srgb",
"components" : {
"alpha" : "1.000",
"blue" : "0x00",
"green" : "0xD7",
"red" : "0xFF"
}
},
"idiom" : "universal"
}
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"author" : "xcode",
"version" : 1
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{
"images" : [
{
"filename" : "AppIcon.png",
"idiom" : "universal",
"platform" : "ios",
"size" : "1024x1024"
},
{
"appearances" : [
{
"appearance" : "luminosity",
"value" : "dark"
}
],
"filename" : "AppIcon.png",
"idiom" : "universal",
"platform" : "ios",
"size" : "1024x1024"
},
{
"appearances" : [
{
"appearance" : "luminosity",
"value" : "tinted"
}
],
"filename" : "AppIcon.png",
"idiom" : "universal",
"platform" : "ios",
"size" : "1024x1024"
}
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"author" : "xcode",
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}
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@@ -0,0 +1,6 @@
{
"info" : {
"author" : "xcode",
"version" : 1
}
}
@@ -0,0 +1,21 @@
{
"images" : [
{
"filename" : "exo-logo.png",
"idiom" : "universal",
"scale" : "1x"
},
{
"idiom" : "universal",
"scale" : "2x"
},
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"idiom" : "universal",
"scale" : "3x"
}
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"version" : 1
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+8
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.apple.developer.kernel.increased-memory-limit</key>
<true/>
</dict>
</plist>
+67
View File
@@ -0,0 +1,67 @@
import SwiftUI
import UIKit
@main
struct EXO_iOSApp: App {
@State private var clusterService = ClusterService()
@State private var discoveryService = DiscoveryService()
@State private var localInferenceService = LocalInferenceService()
@State private var chatService: ChatService?
init() {
let darkGray = UIColor(red: 0x1F / 255.0, green: 0x1F / 255.0, blue: 0x1F / 255.0, alpha: 1)
let yellow = UIColor(red: 0xFF / 255.0, green: 0xD7 / 255.0, blue: 0x00 / 255.0, alpha: 1)
let navAppearance = UINavigationBarAppearance()
navAppearance.configureWithOpaqueBackground()
navAppearance.backgroundColor = darkGray
navAppearance.titleTextAttributes = [
.foregroundColor: yellow,
.font: UIFont.monospacedSystemFont(ofSize: 17, weight: .semibold),
]
navAppearance.largeTitleTextAttributes = [
.foregroundColor: yellow,
.font: UIFont.monospacedSystemFont(ofSize: 34, weight: .bold),
]
UINavigationBar.appearance().standardAppearance = navAppearance
UINavigationBar.appearance().compactAppearance = navAppearance
UINavigationBar.appearance().scrollEdgeAppearance = navAppearance
UINavigationBar.appearance().tintColor = yellow
}
var body: some Scene {
WindowGroup {
if let chatService {
RootView()
.environment(clusterService)
.environment(discoveryService)
.environment(chatService)
.environment(localInferenceService)
.preferredColorScheme(.dark)
.task {
await clusterService.attemptAutoReconnect()
discoveryService.startBrowsing()
await localInferenceService.prepareModel()
}
.onChange(of: discoveryService.discoveredClusters) { _, clusters in
guard !clusterService.isConnected,
case .disconnected = clusterService.connectionState,
let first = clusters.first
else { return }
Task {
await clusterService.connectToDiscoveredCluster(
first, using: discoveryService)
}
}
} else {
Color.exoBlack.onAppear {
chatService = ChatService(
clusterService: clusterService,
localInferenceService: localInferenceService
)
}
}
}
}
}
+19
View File
@@ -0,0 +1,19 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>UIUserInterfaceStyle</key>
<string>Dark</string>
<key>CFBundleDisplayName</key>
<string>EXO</string>
<key>NSLocalNetworkUsageDescription</key>
<string>EXO needs local network access to connect to your EXO cluster.</string>
<key>NSBonjourServices</key>
<array>
<string>_exo._tcp</string>
<string>_p2p._tcp</string>
<string>_p2p._udp</string>
<string>_libp2p._udp</string>
</array>
</dict>
</plist>
@@ -0,0 +1,129 @@
import Foundation
// MARK: - Request
struct ChatCompletionRequest: Encodable {
let model: String
let messages: [ChatCompletionMessageParam]
let stream: Bool
let maxTokens: Int?
let temperature: Double?
enum CodingKeys: String, CodingKey {
case model, messages, stream, temperature
case maxTokens = "max_tokens"
}
}
struct ChatCompletionMessageParam: Encodable {
let role: String
let content: String
}
// MARK: - Streaming Response
struct ChatCompletionChunk: Decodable {
let id: String
let model: String?
let choices: [StreamingChoice]
let usage: ChunkUsage?
init(id: String, model: String?, choices: [StreamingChoice], usage: ChunkUsage?) {
self.id = id
self.model = model
self.choices = choices
self.usage = usage
}
}
struct StreamingChoice: Decodable {
let index: Int
let delta: Delta
let finishReason: String?
enum CodingKeys: String, CodingKey {
case index, delta
case finishReason = "finish_reason"
}
init(index: Int, delta: Delta, finishReason: String?) {
self.index = index
self.delta = delta
self.finishReason = finishReason
}
}
struct Delta: Decodable {
let role: String?
let content: String?
init(role: String?, content: String?) {
self.role = role
self.content = content
}
}
struct ChunkUsage: Decodable {
let promptTokens: Int?
let completionTokens: Int?
let totalTokens: Int?
enum CodingKeys: String, CodingKey {
case promptTokens = "prompt_tokens"
case completionTokens = "completion_tokens"
case totalTokens = "total_tokens"
}
init(promptTokens: Int?, completionTokens: Int?, totalTokens: Int?) {
self.promptTokens = promptTokens
self.completionTokens = completionTokens
self.totalTokens = totalTokens
}
}
// MARK: - Non-Streaming Response
struct ChatCompletionResponse: Decodable {
let id: String
let model: String?
let choices: [ResponseChoice]
}
struct ResponseChoice: Decodable {
let index: Int
let message: ResponseMessage
let finishReason: String?
enum CodingKeys: String, CodingKey {
case index, message
case finishReason = "finish_reason"
}
}
struct ResponseMessage: Decodable {
let role: String?
let content: String?
}
// MARK: - Models List
struct ModelListResponse: Decodable {
let data: [ModelInfo]
}
struct ModelInfo: Decodable, Identifiable {
let id: String
let name: String?
}
// MARK: - Error
struct APIErrorResponse: Decodable {
let error: APIErrorInfo
}
struct APIErrorInfo: Decodable {
let message: String
let type: String?
let code: Int?
}
@@ -0,0 +1,26 @@
import Foundation
struct ChatMessage: Identifiable, Equatable {
let id: UUID
let role: Role
var content: String
let timestamp: Date
var isStreaming: Bool
enum Role: String, Codable {
case user
case assistant
case system
}
init(
id: UUID = UUID(), role: Role, content: String, timestamp: Date = Date(),
isStreaming: Bool = false
) {
self.id = id
self.role = role
self.content = content
self.timestamp = timestamp
self.isStreaming = isStreaming
}
}
@@ -0,0 +1,11 @@
import Foundation
struct ConnectionInfo: Codable, Equatable {
let host: String
let port: Int
let nodeId: String?
var baseURL: URL { URL(string: "http://\(host):\(port)")! }
static let defaultPort = 52415
}
@@ -0,0 +1,34 @@
import Foundation
struct Conversation: Identifiable, Codable, Equatable {
let id: UUID
var title: String
var messages: [StoredMessage]
var modelId: String?
let createdAt: Date
init(
id: UUID = UUID(), title: String = "New Chat", messages: [StoredMessage] = [],
modelId: String? = nil, createdAt: Date = Date()
) {
self.id = id
self.title = title
self.messages = messages
self.modelId = modelId
self.createdAt = createdAt
}
}
struct StoredMessage: Identifiable, Codable, Equatable {
let id: UUID
let role: String
var content: String
let timestamp: Date
init(id: UUID = UUID(), role: String, content: String, timestamp: Date = Date()) {
self.id = id
self.role = role
self.content = content
self.timestamp = timestamp
}
}
@@ -0,0 +1,227 @@
import Foundation
@Observable
@MainActor
final class ChatService {
var conversations: [Conversation] = []
var activeConversationId: UUID?
private(set) var isGenerating: Bool = false
private var currentGenerationTask: Task<Void, Never>?
private let clusterService: ClusterService
private let localInferenceService: LocalInferenceService
var canSendMessage: Bool {
clusterService.isConnected || localInferenceService.isAvailable
}
var activeConversation: Conversation? {
guard let id = activeConversationId else { return nil }
return conversations.first { $0.id == id }
}
var activeMessages: [ChatMessage] {
guard let conversation = activeConversation else { return [] }
return conversation.messages.map { stored in
ChatMessage(
id: stored.id,
role: ChatMessage.Role(rawValue: stored.role) ?? .user,
content: stored.content,
timestamp: stored.timestamp
)
}
}
init(clusterService: ClusterService, localInferenceService: LocalInferenceService) {
self.clusterService = clusterService
self.localInferenceService = localInferenceService
loadConversations()
}
// MARK: - Conversation Management
func createConversation(modelId: String? = nil) {
let conversation = Conversation(
modelId: modelId ?? clusterService.availableModels.first?.id)
conversations.insert(conversation, at: 0)
activeConversationId = conversation.id
saveConversations()
}
func deleteConversation(id: UUID) {
conversations.removeAll { $0.id == id }
if activeConversationId == id {
activeConversationId = conversations.first?.id
}
saveConversations()
}
func setActiveConversation(id: UUID) {
activeConversationId = id
}
func setModelForActiveConversation(_ modelId: String) {
guard let index = conversations.firstIndex(where: { $0.id == activeConversationId }) else {
return
}
conversations[index].modelId = modelId
saveConversations()
}
// MARK: - Messaging
func sendMessage(_ text: String) {
guard !text.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty else { return }
if activeConversation == nil {
createConversation()
}
guard let index = conversations.firstIndex(where: { $0.id == activeConversationId }) else {
return
}
let userMessage = StoredMessage(role: "user", content: text)
conversations[index].messages.append(userMessage)
if conversations[index].title == "New Chat" {
let preview = String(text.prefix(40))
conversations[index].title = preview + (text.count > 40 ? "..." : "")
}
let modelId: String
if clusterService.isConnected {
guard
let clusterId = conversations[index].modelId
?? clusterService.availableModels.first?.id
else {
let errorMessage = StoredMessage(
role: "assistant", content: "No model selected. Please select a model first.")
conversations[index].messages.append(errorMessage)
saveConversations()
return
}
modelId = clusterId
} else if localInferenceService.isAvailable {
modelId = localInferenceService.defaultModelId
} else {
let errorMessage = StoredMessage(
role: "assistant",
content: "Not connected to a cluster and local model is not available.")
conversations[index].messages.append(errorMessage)
saveConversations()
return
}
conversations[index].modelId = modelId
let assistantMessageId = UUID()
let assistantMessage = StoredMessage(
id: assistantMessageId, role: "assistant", content: "", timestamp: Date())
conversations[index].messages.append(assistantMessage)
let messagesForAPI = conversations[index].messages.dropLast().map { stored in
ChatCompletionMessageParam(role: stored.role, content: stored.content)
}
let request = ChatCompletionRequest(
model: modelId,
messages: Array(messagesForAPI),
stream: true,
maxTokens: 4096,
temperature: nil
)
let conversationId = conversations[index].id
isGenerating = true
currentGenerationTask = Task { [weak self] in
guard let self else { return }
await self.performStreaming(
request: request, conversationId: conversationId,
assistantMessageId: assistantMessageId)
}
saveConversations()
}
func cancelGeneration() {
currentGenerationTask?.cancel()
currentGenerationTask = nil
localInferenceService.cancelGeneration()
isGenerating = false
}
// MARK: - Streaming
private func performStreaming(
request: ChatCompletionRequest, conversationId: UUID, assistantMessageId: UUID
) async {
defer {
isGenerating = false
currentGenerationTask = nil
saveConversations()
}
do {
let stream =
clusterService.isConnected
? clusterService.streamChatCompletion(request: request)
: localInferenceService.streamChatCompletion(request: request)
for try await chunk in stream {
guard !Task.isCancelled else { return }
guard let content = chunk.choices.first?.delta.content, !content.isEmpty else {
continue
}
if let convIndex = conversations.firstIndex(where: { $0.id == conversationId }),
let msgIndex = conversations[convIndex].messages.firstIndex(where: {
$0.id == assistantMessageId
})
{
conversations[convIndex].messages[msgIndex].content += content
}
}
} catch {
if !Task.isCancelled {
if let convIndex = conversations.firstIndex(where: { $0.id == conversationId }),
let msgIndex = conversations[convIndex].messages.firstIndex(where: {
$0.id == assistantMessageId
})
{
if conversations[convIndex].messages[msgIndex].content.isEmpty {
conversations[convIndex].messages[msgIndex].content =
"Error: \(error.localizedDescription)"
}
}
}
}
}
// MARK: - Persistence
private static var storageURL: URL {
let documents = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)
.first!
return documents.appendingPathComponent("exo_conversations.json")
}
private func saveConversations() {
do {
let data = try JSONEncoder().encode(conversations)
try data.write(to: Self.storageURL, options: .atomic)
} catch {
// Save failed silently
}
}
private func loadConversations() {
do {
let data = try Data(contentsOf: Self.storageURL)
conversations = try JSONDecoder().decode([Conversation].self, from: data)
activeConversationId = conversations.first?.id
} catch {
conversations = []
}
}
}
@@ -0,0 +1,246 @@
import Foundation
enum ConnectionState: Equatable {
case disconnected
case connecting
case connected(ConnectionInfo)
}
struct ModelOption: Identifiable, Equatable {
let id: String
let displayName: String
}
@Observable
@MainActor
final class ClusterService {
private(set) var connectionState: ConnectionState = .disconnected
private(set) var availableModels: [ModelOption] = []
private(set) var lastError: String?
private let session: URLSession
private let decoder: JSONDecoder
private var pollingTask: Task<Void, Never>?
private var heartbeatTask: Task<Void, Never>?
private static let connectionInfoKey = "exo_last_connection_info"
var isConnected: Bool {
if case .connected = connectionState { return true }
return false
}
var currentConnection: ConnectionInfo? {
if case .connected(let info) = connectionState { return info }
return nil
}
init(session: URLSession = .shared) {
self.session = session
let decoder = JSONDecoder()
self.decoder = decoder
}
// MARK: - Connection
func connect(to info: ConnectionInfo) async {
connectionState = .connecting
lastError = nil
do {
let url = info.baseURL.appendingPathComponent("node_id")
var request = URLRequest(url: url)
request.timeoutInterval = 5
request.cachePolicy = .reloadIgnoringLocalCacheData
let (_, response) = try await session.data(for: request)
guard let httpResponse = response as? HTTPURLResponse,
(200..<300).contains(httpResponse.statusCode)
else {
throw URLError(.badServerResponse)
}
connectionState = .connected(info)
persistConnection(info)
startPolling()
startHeartbeat()
await fetchModels(baseURL: info.baseURL)
} catch {
connectionState = .disconnected
lastError = "Could not connect to \(info.host):\(info.port)"
}
}
func connectToDiscoveredCluster(
_ cluster: DiscoveredCluster, using discoveryService: DiscoveryService
) async {
guard case .disconnected = connectionState else { return }
connectionState = .connecting
lastError = nil
guard let info = await discoveryService.resolve(cluster) else {
connectionState = .disconnected
lastError = "Could not resolve \(cluster.name)"
return
}
connectionState = .disconnected // reset so connect() can proceed
await connect(to: info)
}
func disconnect() {
stopPolling()
stopHeartbeat()
connectionState = .disconnected
availableModels = []
lastError = nil
}
func attemptAutoReconnect() async {
guard case .disconnected = connectionState,
let info = loadPersistedConnection()
else { return }
await connect(to: info)
}
// MARK: - Polling
private func startPolling(interval: TimeInterval = 2.0) {
stopPolling()
pollingTask = Task { [weak self] in
while !Task.isCancelled {
try? await Task.sleep(for: .seconds(interval))
guard let self, !Task.isCancelled else { return }
guard let connection = self.currentConnection else { return }
await self.fetchModels(baseURL: connection.baseURL)
}
}
}
private func stopPolling() {
pollingTask?.cancel()
pollingTask = nil
}
// MARK: - Heartbeat
private func startHeartbeat(interval: TimeInterval = 10.0) {
stopHeartbeat()
heartbeatTask = Task { [weak self] in
// Send immediately, then on interval
if let self, let connection = self.currentConnection {
await self.sendHeartbeat(baseURL: connection.baseURL)
}
while !Task.isCancelled {
try? await Task.sleep(for: .seconds(interval))
guard let self, !Task.isCancelled else { return }
guard let connection = self.currentConnection else { return }
await self.sendHeartbeat(baseURL: connection.baseURL)
}
}
}
private func stopHeartbeat() {
heartbeatTask?.cancel()
heartbeatTask = nil
}
private func sendHeartbeat(baseURL: URL) async {
do {
let deviceInfo = DeviceInfoService.gather()
let url = baseURL.appendingPathComponent("v1/lite_node/heartbeat")
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.timeoutInterval = 5
request.httpBody = try JSONEncoder().encode(deviceInfo)
let (_, response) = try await session.data(for: request)
if let httpResponse = response as? HTTPURLResponse,
!(200..<300).contains(httpResponse.statusCode) {
// Heartbeat failed silently will retry on next interval
}
} catch {
// Heartbeat failed silently will retry on next interval
}
}
// MARK: - API
private func fetchModels(baseURL: URL) async {
do {
let url = baseURL.appendingPathComponent("models")
var request = URLRequest(url: url)
request.cachePolicy = .reloadIgnoringLocalCacheData
let (data, response) = try await session.data(for: request)
guard let httpResponse = response as? HTTPURLResponse,
(200..<300).contains(httpResponse.statusCode)
else { return }
let list = try decoder.decode(ModelListResponse.self, from: data)
availableModels = list.data.map {
ModelOption(id: $0.id, displayName: $0.name ?? $0.id)
}
} catch {
// Models fetch failed silently will retry on next poll
}
}
func streamChatCompletion(request body: ChatCompletionRequest) -> AsyncThrowingStream<
ChatCompletionChunk, Error
> {
AsyncThrowingStream { continuation in
let task = Task { [weak self] in
guard let self, let connection = self.currentConnection else {
continuation.finish(throwing: URLError(.notConnectedToInternet))
return
}
do {
let url = connection.baseURL.appendingPathComponent("v1/chat/completions")
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try JSONEncoder().encode(body)
let (bytes, response) = try await self.session.bytes(for: request)
guard let httpResponse = response as? HTTPURLResponse,
(200..<300).contains(httpResponse.statusCode)
else {
continuation.finish(throwing: URLError(.badServerResponse))
return
}
let parser = SSEStreamParser<ChatCompletionChunk>(
bytes: bytes, decoder: self.decoder)
for try await chunk in parser {
continuation.yield(chunk)
}
continuation.finish()
} catch {
continuation.finish(throwing: error)
}
}
continuation.onTermination = { _ in
task.cancel()
}
}
}
// MARK: - Persistence
private func persistConnection(_ info: ConnectionInfo) {
if let data = try? JSONEncoder().encode(info) {
UserDefaults.standard.set(data, forKey: Self.connectionInfoKey)
}
}
private func loadPersistedConnection() -> ConnectionInfo? {
guard let data = UserDefaults.standard.data(forKey: Self.connectionInfoKey) else {
return nil
}
return try? JSONDecoder().decode(ConnectionInfo.self, from: data)
}
}
@@ -0,0 +1,115 @@
import Foundation
import os
import UIKit
struct DeviceInfo: Encodable {
let nodeId: String
let model: String
let chip: String
let osVersion: String
let friendlyName: String
let ramTotal: Int
let ramAvailable: Int
enum CodingKeys: String, CodingKey {
case nodeId = "node_id"
case model
case chip
case osVersion = "os_version"
case friendlyName = "friendly_name"
case ramTotal = "ram_total"
case ramAvailable = "ram_available"
}
}
enum DeviceInfoService {
private static let liteNodeIdKey = "exo_lite_node_id"
static var liteNodeId: String {
if let existing = UserDefaults.standard.string(forKey: liteNodeIdKey) {
return existing
}
let newId = UUID().uuidString.lowercased()
UserDefaults.standard.set(newId, forKey: liteNodeIdKey)
return newId
}
static func gather() -> DeviceInfo {
let model = modelName()
let chip = chipName(for: model)
let totalRam = Int(ProcessInfo.processInfo.physicalMemory)
let availableRam = availableMemory()
return DeviceInfo(
nodeId: liteNodeId,
model: model,
chip: chip,
osVersion: UIDevice.current.systemVersion,
friendlyName: UIDevice.current.name,
ramTotal: totalRam,
ramAvailable: availableRam
)
}
// MARK: - Private
private static func modelName() -> String {
var systemInfo = utsname()
uname(&systemInfo)
let machine = withUnsafePointer(to: &systemInfo.machine) {
$0.withMemoryRebound(to: CChar.self, capacity: 1) {
String(cString: $0)
}
}
return modelMapping[machine] ?? machine
}
private static func chipName(for model: String) -> String {
let lower = model.lowercased()
if lower.contains("iphone 16 pro") || lower.contains("iphone 16 pro max") {
return "Apple A18 Pro"
} else if lower.contains("iphone 16") {
return "Apple A18"
} else if lower.contains("iphone 15 pro") || lower.contains("iphone 15 pro max") {
return "Apple A17 Pro"
} else if lower.contains("iphone 15") {
return "Apple A16 Bionic"
} else if lower.contains("iphone 14 pro") || lower.contains("iphone 14 pro max") {
return "Apple A16 Bionic"
} else if lower.contains("iphone 14") {
return "Apple A15 Bionic"
}
return "Apple Silicon"
}
private static func availableMemory() -> Int {
return Int(os_proc_available_memory())
}
private static let modelMapping: [String: String] = [
// iPhone 16 series
"iPhone17,1": "iPhone 16 Pro",
"iPhone17,2": "iPhone 16 Pro Max",
"iPhone17,3": "iPhone 16",
"iPhone17,4": "iPhone 16 Plus",
// iPhone 15 series
"iPhone16,1": "iPhone 15 Pro",
"iPhone16,2": "iPhone 15 Pro Max",
"iPhone15,4": "iPhone 15",
"iPhone15,5": "iPhone 15 Plus",
// iPhone 14 series
"iPhone15,2": "iPhone 14 Pro",
"iPhone15,3": "iPhone 14 Pro Max",
"iPhone14,7": "iPhone 14",
"iPhone14,8": "iPhone 14 Plus",
// iPhone 13 series
"iPhone14,2": "iPhone 13 Pro",
"iPhone14,3": "iPhone 13 Pro Max",
"iPhone14,5": "iPhone 13",
"iPhone14,4": "iPhone 13 mini",
// Simulator
"arm64": "iPhone (Simulator)",
"x86_64": "iPhone (Simulator)",
]
}
@@ -0,0 +1,123 @@
import Foundation
import Network
import os
struct DiscoveredCluster: Identifiable, Equatable {
let id: String
let name: String
let endpoint: NWEndpoint
static func == (lhs: DiscoveredCluster, rhs: DiscoveredCluster) -> Bool {
lhs.id == rhs.id && lhs.name == rhs.name
}
}
@Observable
@MainActor
final class DiscoveryService {
private(set) var discoveredClusters: [DiscoveredCluster] = []
private(set) var isSearching = false
private var browser: NWBrowser?
func startBrowsing() {
guard browser == nil else { return }
let browser = NWBrowser(for: .bonjour(type: "_exo._tcp", domain: nil), using: .tcp)
browser.stateUpdateHandler = { [weak self] state in
guard let service = self else { return }
Task { @MainActor in
switch state {
case .ready:
service.isSearching = true
case .failed, .cancelled:
service.isSearching = false
default:
break
}
}
}
browser.browseResultsChangedHandler = { [weak self] results, _ in
guard let service = self else { return }
Task { @MainActor in
service.discoveredClusters = results.compactMap { result in
guard case .service(let name, _, _, _) = result.endpoint else {
return nil
}
return DiscoveredCluster(
id: name,
name: name,
endpoint: result.endpoint
)
}
}
}
browser.start(queue: .main)
self.browser = browser
}
func stopBrowsing() {
browser?.cancel()
browser = nil
isSearching = false
discoveredClusters = []
}
/// Resolve a discovered Bonjour endpoint to an IP address and port, then return a ConnectionInfo.
func resolve(_ cluster: DiscoveredCluster) async -> ConnectionInfo? {
await withCheckedContinuation { continuation in
let didResume = OSAllocatedUnfairLock(initialState: false)
let connection = NWConnection(to: cluster.endpoint, using: .tcp)
connection.stateUpdateHandler = { state in
guard
didResume.withLock({
guard !$0 else { return false }
$0 = true
return true
})
else { return }
switch state {
case .ready:
if let innerEndpoint = connection.currentPath?.remoteEndpoint,
case .hostPort(let host, let port) = innerEndpoint
{
var hostString: String
switch host {
case .ipv4(let addr):
hostString = "\(addr)"
case .ipv6(let addr):
hostString = "\(addr)"
case .name(let name, _):
hostString = name
@unknown default:
hostString = "\(host)"
}
// Strip interface scope suffix (e.g. "%en0")
if let pct = hostString.firstIndex(of: "%") {
hostString = String(hostString[..<pct])
}
let info = ConnectionInfo(
host: hostString,
port: Int(port.rawValue),
nodeId: nil
)
connection.cancel()
continuation.resume(returning: info)
} else {
connection.cancel()
continuation.resume(returning: nil)
}
case .failed, .cancelled:
continuation.resume(returning: nil)
default:
// Not a terminal state allow future callbacks
didResume.withLock { $0 = false }
}
}
connection.start(queue: .global(qos: .userInitiated))
}
}
}
@@ -0,0 +1,201 @@
import Foundation
import MLXLLM
import MLXLMCommon
enum LocalModelState: Equatable {
case notDownloaded
case downloading(progress: Double)
case downloaded
case loading
case ready
case generating
case error(String)
}
@Observable
@MainActor
final class LocalInferenceService {
private(set) var modelState: LocalModelState = .notDownloaded
private var modelContainer: ModelContainer?
private var generationTask: Task<Void, Never>?
let defaultModelId = "mlx-community/Qwen3-0.6B-4bit"
private static let modelDownloadedKey = "exo_local_model_downloaded"
var isReady: Bool {
modelState == .ready
}
var isAvailable: Bool {
modelState == .ready || modelState == .generating
}
init() {
if UserDefaults.standard.bool(forKey: Self.modelDownloadedKey) {
modelState = .downloaded
}
}
// MARK: - Model Lifecycle
func prepareModel() async {
guard modelState == .notDownloaded || modelState == .downloaded else { return }
let wasDownloaded = modelState == .downloaded
if !wasDownloaded {
modelState = .downloading(progress: 0)
} else {
modelState = .loading
}
do {
let container = try await loadModelContainer(
id: defaultModelId
) { [weak self] progress in
guard let self else { return }
Task { @MainActor in
if case .downloading = self.modelState {
self.modelState = .downloading(progress: progress.fractionCompleted)
}
}
}
self.modelContainer = container
UserDefaults.standard.set(true, forKey: Self.modelDownloadedKey)
modelState = .ready
} catch {
modelState = .error(error.localizedDescription)
}
}
func unloadModel() {
cancelGeneration()
modelContainer = nil
modelState = .downloaded
}
// MARK: - Generation
func streamChatCompletion(request: ChatCompletionRequest) -> AsyncThrowingStream<
ChatCompletionChunk, Error
> {
AsyncThrowingStream { continuation in
let task = Task { [weak self] in
guard let self else {
continuation.finish(throwing: LocalInferenceError.serviceUnavailable)
return
}
guard let container = self.modelContainer else {
continuation.finish(throwing: LocalInferenceError.modelNotLoaded)
return
}
await MainActor.run {
self.modelState = .generating
}
defer {
Task { @MainActor [weak self] in
if self?.modelState == .generating {
self?.modelState = .ready
}
}
}
let chunkId = "local-\(UUID().uuidString)"
do {
// Build Chat.Message array from the request
var chatMessages: [Chat.Message] = []
for msg in request.messages {
switch msg.role {
case "system":
chatMessages.append(.system(msg.content))
case "assistant":
chatMessages.append(.assistant(msg.content))
default:
chatMessages.append(.user(msg.content))
}
}
// Use ChatSession for streaming generation
let session = ChatSession(
container,
history: chatMessages,
generateParameters: GenerateParameters(
maxTokens: request.maxTokens ?? 4096,
temperature: Float(request.temperature ?? 0.7)
)
)
// Stream with an empty prompt since history already contains the conversation
let stream = session.streamResponse(to: "")
for try await text in stream {
if Task.isCancelled { break }
let chunk = ChatCompletionChunk(
id: chunkId,
model: request.model,
choices: [
StreamingChoice(
index: 0,
delta: Delta(role: nil, content: text),
finishReason: nil
)
],
usage: nil
)
continuation.yield(chunk)
}
// Send final chunk with finish reason
let finalChunk = ChatCompletionChunk(
id: chunkId,
model: request.model,
choices: [
StreamingChoice(
index: 0,
delta: Delta(role: nil, content: nil),
finishReason: "stop"
)
],
usage: nil
)
continuation.yield(finalChunk)
continuation.finish()
} catch {
continuation.finish(throwing: error)
}
}
self.generationTask = task
continuation.onTermination = { _ in
task.cancel()
}
}
}
func cancelGeneration() {
generationTask?.cancel()
generationTask = nil
if modelState == .generating {
modelState = .ready
}
}
}
enum LocalInferenceError: LocalizedError {
case serviceUnavailable
case modelNotLoaded
var errorDescription: String? {
switch self {
case .serviceUnavailable: "Local inference service is unavailable"
case .modelNotLoaded: "Local model is not loaded"
}
}
}
@@ -0,0 +1,50 @@
import Foundation
struct SSEStreamParser<T: Decodable>: AsyncSequence {
typealias Element = T
let bytes: URLSession.AsyncBytes
let decoder: JSONDecoder
init(bytes: URLSession.AsyncBytes, decoder: JSONDecoder = JSONDecoder()) {
self.bytes = bytes
self.decoder = decoder
}
func makeAsyncIterator() -> AsyncIterator {
AsyncIterator(lines: bytes.lines, decoder: decoder)
}
struct AsyncIterator: AsyncIteratorProtocol {
var lines: AsyncLineSequence<URLSession.AsyncBytes>.AsyncIterator
let decoder: JSONDecoder
init(lines: AsyncLineSequence<URLSession.AsyncBytes>, decoder: JSONDecoder) {
self.lines = lines.makeAsyncIterator()
self.decoder = decoder
}
mutating func next() async throws -> T? {
while let line = try await lines.next() {
let trimmed = line.trimmingCharacters(in: .whitespaces)
guard trimmed.hasPrefix("data: ") else { continue }
let payload = String(trimmed.dropFirst(6))
if payload == "[DONE]" {
return nil
}
guard let data = payload.data(using: .utf8) else { continue }
do {
return try decoder.decode(T.self, from: data)
} catch {
continue
}
}
return nil
}
}
}
@@ -0,0 +1,203 @@
import SwiftUI
struct ChatView: View {
@Environment(ClusterService.self) private var clusterService
@Environment(ChatService.self) private var chatService
@Environment(LocalInferenceService.self) private var localInferenceService
@State private var inputText = ""
@State private var showModelSelector = false
var body: some View {
VStack(spacing: 0) {
modelBar
GradientDivider()
messageList
GradientDivider()
inputBar
}
.background(Color.exoBlack)
.sheet(isPresented: $showModelSelector) {
ModelSelectorView(
models: clusterService.availableModels,
selectedModelId: chatService.activeConversation?.modelId
) { modelId in
chatService.setModelForActiveConversation(modelId)
}
.presentationBackground(Color.exoDarkGray)
}
}
// MARK: - Model Bar
private var useLocalModel: Bool {
!clusterService.isConnected && localInferenceService.isAvailable
}
private var modelBar: some View {
Button {
if !useLocalModel {
showModelSelector = true
}
} label: {
HStack {
Image(systemName: useLocalModel ? "iphone" : "cpu")
.font(.exoCaption)
.foregroundStyle(useLocalModel ? Color.exoYellow : Color.exoLightGray)
if useLocalModel {
Text(localInferenceService.defaultModelId)
.font(.exoSubheadline)
.foregroundStyle(Color.exoForeground)
.lineLimit(1)
} else if let modelId = chatService.activeConversation?.modelId {
Text(modelId)
.font(.exoSubheadline)
.foregroundStyle(Color.exoForeground)
.lineLimit(1)
} else {
Text("SELECT MODEL")
.font(.exoSubheadline)
.tracking(1.5)
.foregroundStyle(Color.exoLightGray)
}
Spacer()
if useLocalModel {
Text("ON-DEVICE")
.font(.exoCaption)
.tracking(1)
.foregroundStyle(Color.exoYellow)
.padding(.horizontal, 6)
.padding(.vertical, 2)
.background(Color.exoYellow.opacity(0.15))
.clipShape(Capsule())
} else {
Image(systemName: "chevron.right")
.font(.caption)
.foregroundStyle(Color.exoLightGray)
}
}
.padding(.horizontal)
.padding(.vertical, 10)
.background(Color.exoDarkGray)
}
.tint(.primary)
.disabled(useLocalModel)
}
// MARK: - Messages
private var messageList: some View {
ScrollViewReader { proxy in
ScrollView {
LazyVStack(spacing: 12) {
if chatService.activeMessages.isEmpty {
emptyState
} else {
ForEach(chatService.activeMessages) { message in
MessageBubbleView(message: message)
.id(message.id)
}
}
}
.padding()
}
.background(Color.exoBlack)
.onChange(of: chatService.activeMessages.last?.content) {
if let lastId = chatService.activeMessages.last?.id {
withAnimation(.easeOut(duration: 0.2)) {
proxy.scrollTo(lastId, anchor: .bottom)
}
}
}
}
}
private var emptyState: some View {
VStack(spacing: 16) {
Spacer(minLength: 80)
ZStack {
Circle()
.stroke(Color.exoYellow.opacity(0.15), lineWidth: 1)
.frame(width: 80, height: 80)
Circle()
.stroke(Color.exoYellow.opacity(0.3), lineWidth: 1)
.frame(width: 56, height: 56)
Circle()
.fill(Color.exoYellow.opacity(0.15))
.frame(width: 32, height: 32)
Circle()
.fill(Color.exoYellow)
.frame(width: 8, height: 8)
.shadow(color: Color.exoYellow.opacity(0.6), radius: 6)
}
Text("AWAITING INPUT")
.font(.exoSubheadline)
.tracking(3)
.foregroundStyle(Color.exoLightGray)
Text("Send a message to begin.")
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray.opacity(0.6))
Spacer(minLength: 80)
}
.padding()
}
// MARK: - Input
private var inputBar: some View {
HStack(alignment: .bottom, spacing: 8) {
TextField("Message...", text: $inputText, axis: .vertical)
.font(.exoBody)
.lineLimit(1...6)
.textFieldStyle(.plain)
.padding(10)
.background(Color.exoMediumGray)
.foregroundStyle(Color.exoForeground)
.clipShape(RoundedRectangle(cornerRadius: 8))
if chatService.isGenerating {
Button {
chatService.cancelGeneration()
} label: {
Image(systemName: "stop.circle.fill")
.font(.title2)
.foregroundStyle(Color.exoDestructive)
}
} else {
Button {
let text = inputText
inputText = ""
chatService.sendMessage(text)
} label: {
Text("SEND")
.font(.exoMono(12, weight: .bold))
.tracking(1)
.foregroundStyle(canSend ? Color.exoBlack : Color.exoLightGray)
.padding(.horizontal, 14)
.padding(.vertical, 8)
.background(canSend ? Color.exoYellow : Color.exoMediumGray)
.clipShape(RoundedRectangle(cornerRadius: 8))
}
.disabled(!canSend)
}
}
.padding(.horizontal)
.padding(.vertical, 8)
.background(Color.exoDarkGray)
}
private var canSend: Bool {
!inputText.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty
&& (clusterService.isConnected || localInferenceService.isAvailable)
}
}
@@ -0,0 +1,54 @@
import SwiftUI
struct MessageBubbleView: View {
let message: ChatMessage
private var isAssistant: Bool { message.role == .assistant }
var body: some View {
HStack {
if message.role == .user { Spacer(minLength: 48) }
VStack(alignment: isAssistant ? .leading : .trailing, spacing: 6) {
// Header
HStack(spacing: 4) {
if isAssistant {
Circle()
.fill(Color.exoYellow)
.frame(width: 6, height: 6)
.shadow(color: Color.exoYellow.opacity(0.6), radius: 4)
Text("EXO")
.font(.exoMono(10, weight: .bold))
.tracking(1.5)
.foregroundStyle(Color.exoYellow)
} else {
Text("QUERY")
.font(.exoMono(10, weight: .medium))
.tracking(1.5)
.foregroundStyle(Color.exoLightGray)
}
}
// Bubble
HStack(spacing: 0) {
if isAssistant {
RoundedRectangle(cornerRadius: 1)
.fill(Color.exoYellow.opacity(0.5))
.frame(width: 2)
}
Text(message.content + (message.isStreaming ? " \u{258C}" : ""))
.font(.exoBody)
.textSelection(.enabled)
.foregroundStyle(Color.exoForeground)
.padding(.horizontal, 14)
.padding(.vertical, 10)
}
.background(Color.exoDarkGray)
.clipShape(RoundedRectangle(cornerRadius: 8))
}
if isAssistant { Spacer(minLength: 48) }
}
}
}
@@ -0,0 +1,75 @@
import SwiftUI
struct ModelSelectorView: View {
let models: [ModelOption]
let selectedModelId: String?
let onSelect: (String) -> Void
@Environment(\.dismiss) private var dismiss
var body: some View {
NavigationStack {
List {
if models.isEmpty {
emptyContent
} else {
modelsList
}
}
.scrollContentBackground(.hidden)
.background(Color.exoBlack)
.navigationTitle("SELECT MODEL")
.navigationBarTitleDisplayMode(.inline)
.toolbar {
ToolbarItem(placement: .cancellationAction) {
Button("Cancel") { dismiss() }
.font(.exoSubheadline)
.foregroundStyle(Color.exoYellow)
}
}
}
}
private var emptyContent: some View {
ContentUnavailableView(
"No Models Available",
systemImage: "cpu",
description: Text("Connect to an EXO cluster to see available models.")
)
.foregroundStyle(Color.exoLightGray)
.listRowBackground(Color.exoBlack)
}
private var modelsList: some View {
ForEach(models) { model in
Button {
onSelect(model.id)
dismiss()
} label: {
modelRow(model)
}
.tint(.primary)
.listRowBackground(Color.exoDarkGray)
}
}
private func modelRow(_ model: ModelOption) -> some View {
HStack {
VStack(alignment: .leading, spacing: 2) {
Text(model.displayName)
.font(.exoSubheadline)
.foregroundStyle(Color.exoForeground)
Text(model.id)
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
Spacer()
if model.id == selectedModelId {
Image(systemName: "checkmark")
.font(.exoSubheadline)
.foregroundStyle(Color.exoYellow)
}
}
}
}
@@ -0,0 +1,68 @@
import SwiftUI
struct ConnectionStatusBadge: View {
let connectionState: ConnectionState
var localModelState: LocalModelState = .notDownloaded
private var isLocalReady: Bool {
if case .disconnected = connectionState {
return localModelState == .ready || localModelState == .generating
}
return false
}
var body: some View {
HStack(spacing: 6) {
Circle()
.fill(dotColor)
.frame(width: 8, height: 8)
.shadow(color: dotColor.opacity(0.6), radius: 4)
Text(label.uppercased())
.font(.exoMono(10, weight: .medium))
.tracking(1)
.foregroundStyle(Color.exoForeground)
}
.padding(.horizontal, 10)
.padding(.vertical, 5)
.background(backgroundColor)
.clipShape(Capsule())
.overlay(
Capsule()
.stroke(dotColor.opacity(0.3), lineWidth: 1)
)
}
private var dotColor: Color {
if isLocalReady {
return .exoYellow
}
switch connectionState {
case .connected: return .green
case .connecting: return .orange
case .disconnected: return .exoLightGray
}
}
private var label: String {
if isLocalReady {
return "Local"
}
switch connectionState {
case .connected: return "Connected"
case .connecting: return "Connecting"
case .disconnected: return "Disconnected"
}
}
private var backgroundColor: Color {
if isLocalReady {
return Color.exoYellow.opacity(0.1)
}
switch connectionState {
case .connected: return .green.opacity(0.1)
case .connecting: return .orange.opacity(0.1)
case .disconnected: return Color.exoMediumGray.opacity(0.5)
}
}
}
+136
View File
@@ -0,0 +1,136 @@
import SwiftUI
struct RootView: View {
@Environment(ClusterService.self) private var clusterService
@Environment(DiscoveryService.self) private var discoveryService
@Environment(ChatService.self) private var chatService
@Environment(LocalInferenceService.self) private var localInferenceService
@State private var showSettings = false
@State private var showConversations = false
var body: some View {
NavigationStack {
ChatView()
.navigationTitle("EXO")
.navigationBarTitleDisplayMode(.inline)
.toolbar {
ToolbarItem(placement: .topBarLeading) {
conversationMenuButton
}
ToolbarItem(placement: .principal) {
ConnectionStatusBadge(
connectionState: clusterService.connectionState,
localModelState: localInferenceService.modelState
)
}
ToolbarItem(placement: .topBarTrailing) {
Button {
showSettings = true
} label: {
Image(systemName: "gear")
.foregroundStyle(Color.exoYellow)
}
}
}
}
.tint(Color.exoYellow)
.sheet(isPresented: $showSettings) {
SettingsView()
.environment(discoveryService)
.presentationBackground(Color.exoDarkGray)
}
.sheet(isPresented: $showConversations) {
conversationList
.presentationBackground(Color.exoDarkGray)
}
}
// MARK: - Conversations
private var conversationMenuButton: some View {
HStack(spacing: 12) {
Button {
showConversations = true
} label: {
Image(systemName: "sidebar.left")
.foregroundStyle(Color.exoYellow)
}
Button {
chatService.createConversation()
} label: {
Image(systemName: "square.and.pencil")
.foregroundStyle(Color.exoYellow)
}
}
}
private var conversationList: some View {
NavigationStack {
List {
if chatService.conversations.isEmpty {
Text("No conversations yet")
.font(.exoBody)
.foregroundStyle(Color.exoLightGray)
.listRowBackground(Color.exoDarkGray)
} else {
ForEach(chatService.conversations) { conversation in
let isActive = conversation.id == chatService.activeConversationId
Button {
chatService.setActiveConversation(id: conversation.id)
showConversations = false
} label: {
VStack(alignment: .leading, spacing: 4) {
Text(conversation.title)
.font(.exoSubheadline)
.fontWeight(isActive ? .semibold : .regular)
.foregroundStyle(
isActive ? Color.exoYellow : Color.exoForeground
)
.lineLimit(1)
if let modelId = conversation.modelId {
Text(modelId)
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
.lineLimit(1)
}
}
}
.listRowBackground(
isActive
? Color.exoYellow.opacity(0.1)
: Color.exoDarkGray
)
}
.onDelete { indexSet in
for index in indexSet {
chatService.deleteConversation(id: chatService.conversations[index].id)
}
}
}
}
.scrollContentBackground(.hidden)
.background(Color.exoBlack)
.navigationTitle("Conversations")
.navigationBarTitleDisplayMode(.inline)
.toolbar {
ToolbarItem(placement: .confirmationAction) {
Button("Done") { showConversations = false }
.font(.exoSubheadline)
.foregroundStyle(Color.exoYellow)
}
ToolbarItem(placement: .topBarLeading) {
Button {
chatService.createConversation()
} label: {
Image(systemName: "plus")
.foregroundStyle(Color.exoYellow)
}
}
}
}
}
}
@@ -0,0 +1,314 @@
import SwiftUI
struct SettingsView: View {
@Environment(ClusterService.self) private var clusterService
@Environment(DiscoveryService.self) private var discoveryService
@Environment(LocalInferenceService.self) private var localInferenceService
@Environment(\.dismiss) private var dismiss
@State private var host: String = ""
@State private var port: String = "52415"
var body: some View {
NavigationStack {
Form {
localModelSection
nearbyClustersSection
connectionSection
statusSection
}
.scrollContentBackground(.hidden)
.background(Color.exoBlack)
.navigationTitle("Settings")
.navigationBarTitleDisplayMode(.inline)
.toolbar {
ToolbarItem(placement: .confirmationAction) {
Button("Done") { dismiss() }
.font(.exoSubheadline)
.foregroundStyle(Color.exoYellow)
}
}
}
}
// MARK: - Section Headers
private func sectionHeader(_ title: String) -> some View {
Text(title.uppercased())
.font(.exoMono(10, weight: .semibold))
.tracking(2)
.foregroundStyle(Color.exoYellow)
}
// MARK: - Local Model
private var localModelSection: some View {
Section {
HStack {
VStack(alignment: .leading, spacing: 4) {
Text(localInferenceService.defaultModelId)
.font(.exoSubheadline)
.foregroundStyle(Color.exoForeground)
Text(localModelStatusText)
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
Spacer()
localModelActionButton
}
.listRowBackground(Color.exoDarkGray)
if case .downloading(let progress) = localInferenceService.modelState {
ProgressView(value: progress)
.tint(Color.exoYellow)
.listRowBackground(Color.exoDarkGray)
}
} header: {
sectionHeader("Local Model")
} footer: {
Text(
"When disconnected from a cluster, messages are processed on-device using this model."
)
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray.opacity(0.7))
}
}
private var localModelStatusText: String {
switch localInferenceService.modelState {
case .notDownloaded: "Not downloaded"
case .downloading(let progress): "Downloading \(Int(progress * 100))%..."
case .downloaded: "Downloaded — not loaded"
case .loading: "Loading into memory..."
case .ready: "Ready"
case .generating: "Generating..."
case .error(let message): "Error: \(message)"
}
}
@ViewBuilder
private var localModelActionButton: some View {
switch localInferenceService.modelState {
case .notDownloaded:
exoButton("Download") {
Task { await localInferenceService.prepareModel() }
}
case .downloading:
ProgressView()
.controlSize(.small)
.tint(Color.exoYellow)
case .downloaded:
exoButton("Load") {
Task { await localInferenceService.prepareModel() }
}
case .loading:
ProgressView()
.controlSize(.small)
.tint(Color.exoYellow)
case .ready, .generating:
exoButton("Unload") {
localInferenceService.unloadModel()
}
case .error:
exoButton("Retry", destructive: true) {
Task { await localInferenceService.prepareModel() }
}
}
}
private func exoButton(_ title: String, destructive: Bool = false, action: @escaping () -> Void)
-> some View
{
let borderColor = destructive ? Color.exoDestructive : Color.exoYellow
return Button(action: action) {
Text(title.uppercased())
.font(.exoMono(11, weight: .semibold))
.tracking(1)
.foregroundStyle(borderColor)
.padding(.horizontal, 10)
.padding(.vertical, 5)
.overlay(
RoundedRectangle(cornerRadius: 6)
.stroke(borderColor, lineWidth: 1)
)
}
}
// MARK: - Nearby Clusters
private var nearbyClustersSection: some View {
Section {
if discoveryService.discoveredClusters.isEmpty {
if discoveryService.isSearching {
HStack {
ProgressView()
.tint(Color.exoYellow)
.padding(.trailing, 8)
Text("Searching for clusters...")
.font(.exoBody)
.foregroundStyle(Color.exoLightGray)
}
.listRowBackground(Color.exoDarkGray)
} else {
Text("No clusters found")
.font(.exoBody)
.foregroundStyle(Color.exoLightGray)
.listRowBackground(Color.exoDarkGray)
}
} else {
ForEach(discoveryService.discoveredClusters) { cluster in
HStack {
VStack(alignment: .leading) {
Text(cluster.name)
.font(.exoBody)
.foregroundStyle(Color.exoForeground)
}
Spacer()
exoButton("Connect") {
Task {
await clusterService.connectToDiscoveredCluster(
cluster, using: discoveryService
)
if clusterService.isConnected {
dismiss()
}
}
}
}
.listRowBackground(Color.exoDarkGray)
}
}
} header: {
sectionHeader("Nearby Clusters")
}
}
// MARK: - Manual Connection
private var connectionSection: some View {
Section {
TextField("IP Address (e.g. 192.168.1.42)", text: $host)
.font(.exoBody)
.keyboardType(.decimalPad)
.textContentType(.URL)
.autocorrectionDisabled()
.foregroundStyle(Color.exoForeground)
.listRowBackground(Color.exoDarkGray)
TextField("Port", text: $port)
.font(.exoBody)
.keyboardType(.numberPad)
.foregroundStyle(Color.exoForeground)
.listRowBackground(Color.exoDarkGray)
Button {
Task {
let portNum = Int(port) ?? ConnectionInfo.defaultPort
let info = ConnectionInfo(host: host, port: portNum, nodeId: nil)
await clusterService.connect(to: info)
if clusterService.isConnected {
dismiss()
}
}
} label: {
Text(clusterService.isConnected ? "RECONNECT" : "CONNECT")
.font(.exoMono(13, weight: .semibold))
.tracking(1.5)
.foregroundStyle(
host.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty
? Color.exoLightGray : Color.exoYellow
)
.frame(maxWidth: .infinity)
}
.disabled(host.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty)
.listRowBackground(Color.exoDarkGray)
} header: {
sectionHeader("Manual Connection")
}
}
// MARK: - Status
private var statusSection: some View {
Section {
if let connection = clusterService.currentConnection {
LabeledContent {
Text(connection.host)
.font(.exoCaption)
.foregroundStyle(Color.exoForeground)
} label: {
Text("Host")
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
.listRowBackground(Color.exoDarkGray)
LabeledContent {
Text("\(connection.port)")
.font(.exoCaption)
.foregroundStyle(Color.exoForeground)
} label: {
Text("Port")
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
.listRowBackground(Color.exoDarkGray)
if let nodeId = connection.nodeId {
LabeledContent {
Text(String(nodeId.prefix(12)) + "...")
.font(.exoCaption)
.foregroundStyle(Color.exoForeground)
} label: {
Text("Node ID")
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
.listRowBackground(Color.exoDarkGray)
}
LabeledContent {
Text("\(clusterService.availableModels.count)")
.font(.exoCaption)
.foregroundStyle(Color.exoForeground)
} label: {
Text("Models")
.font(.exoCaption)
.foregroundStyle(Color.exoLightGray)
}
.listRowBackground(Color.exoDarkGray)
Button(role: .destructive) {
clusterService.disconnect()
} label: {
Text("DISCONNECT")
.font(.exoMono(13, weight: .semibold))
.tracking(1.5)
.foregroundStyle(Color.exoDestructive)
.frame(maxWidth: .infinity)
}
.listRowBackground(Color.exoDarkGray)
} else {
if let error = clusterService.lastError {
Label {
Text(error)
.font(.exoCaption)
} icon: {
Image(systemName: "exclamationmark.triangle")
}
.foregroundStyle(Color.exoDestructive)
.listRowBackground(Color.exoDarkGray)
} else {
Text("Not connected")
.font(.exoBody)
.foregroundStyle(Color.exoLightGray)
.listRowBackground(Color.exoDarkGray)
}
}
} header: {
sectionHeader("Status")
}
}
}
@@ -0,0 +1,51 @@
import SwiftUI
// MARK: - EXO Color Palette
extension Color {
/// Primary background near-black (#121212)
static let exoBlack = Color(red: 0x12 / 255.0, green: 0x12 / 255.0, blue: 0x12 / 255.0)
/// Card / surface background (#1F1F1F)
static let exoDarkGray = Color(red: 0x1F / 255.0, green: 0x1F / 255.0, blue: 0x1F / 255.0)
/// Input field / elevated surface (#353535)
static let exoMediumGray = Color(red: 0x35 / 255.0, green: 0x35 / 255.0, blue: 0x35 / 255.0)
/// Secondary text (#999999)
static let exoLightGray = Color(red: 0x99 / 255.0, green: 0x99 / 255.0, blue: 0x99 / 255.0)
/// Accent yellow matches dashboard (#FFD700)
static let exoYellow = Color(red: 0xFF / 255.0, green: 0xD7 / 255.0, blue: 0x00 / 255.0)
/// Primary foreground text (#E5E5E5)
static let exoForeground = Color(red: 0xE5 / 255.0, green: 0xE5 / 255.0, blue: 0xE5 / 255.0)
/// Destructive / error (#E74C3C)
static let exoDestructive = Color(red: 0xE7 / 255.0, green: 0x4C / 255.0, blue: 0x3C / 255.0)
}
// MARK: - EXO Typography (SF Mono via .monospaced design)
extension Font {
/// Monospaced font at a given size and weight.
static func exoMono(_ size: CGFloat, weight: Font.Weight = .regular) -> Font {
.system(size: size, weight: weight, design: .monospaced)
}
/// Body text 15pt monospaced
static let exoBody: Font = .system(size: 15, weight: .regular, design: .monospaced)
/// Caption 11pt monospaced
static let exoCaption: Font = .system(size: 11, weight: .regular, design: .monospaced)
/// Subheadline 13pt monospaced medium
static let exoSubheadline: Font = .system(size: 13, weight: .medium, design: .monospaced)
/// Headline 17pt monospaced semibold
static let exoHeadline: Font = .system(size: 17, weight: .semibold, design: .monospaced)
}
// MARK: - Reusable Gradient Divider
struct GradientDivider: View {
var body: some View {
LinearGradient(
colors: [.clear, Color.exoYellow.opacity(0.3), .clear],
startPoint: .leading,
endPoint: .trailing
)
.frame(height: 1)
}
}
@@ -0,0 +1,18 @@
//
// EXO_iOSTests.swift
// EXO-iOSTests
//
// Created by Sami Khan on 2026-02-17.
//
import Testing
@testable import EXO_iOS
struct EXO_iOSTests {
@Test func example() async throws {
// Write your test here and use APIs like `#expect(...)` to check expected conditions.
}
}
@@ -0,0 +1,41 @@
//
// EXO_iOSUITests.swift
// EXO-iOSUITests
//
// Created by Sami Khan on 2026-02-17.
//
import XCTest
final class EXO_iOSUITests: XCTestCase {
override func setUpWithError() throws {
// Put setup code here. This method is called before the invocation of each test method in the class.
// In UI tests it is usually best to stop immediately when a failure occurs.
continueAfterFailure = false
// In UI tests its important to set the initial state - such as interface orientation - required for your tests before they run. The setUp method is a good place to do this.
}
override func tearDownWithError() throws {
// Put teardown code here. This method is called after the invocation of each test method in the class.
}
@MainActor
func testExample() throws {
// UI tests must launch the application that they test.
let app = XCUIApplication()
app.launch()
// Use XCTAssert and related functions to verify your tests produce the correct results.
}
@MainActor
func testLaunchPerformance() throws {
// This measures how long it takes to launch your application.
measure(metrics: [XCTApplicationLaunchMetric()]) {
XCUIApplication().launch()
}
}
}
@@ -0,0 +1,33 @@
//
// EXO_iOSUITestsLaunchTests.swift
// EXO-iOSUITests
//
// Created by Sami Khan on 2026-02-17.
//
import XCTest
final class EXO_iOSUITestsLaunchTests: XCTestCase {
override class var runsForEachTargetApplicationUIConfiguration: Bool {
true
}
override func setUpWithError() throws {
continueAfterFailure = false
}
@MainActor
func testLaunch() throws {
let app = XCUIApplication()
app.launch()
// Insert steps here to perform after app launch but before taking a screenshot,
// such as logging into a test account or navigating somewhere in the app
let attachment = XCTAttachment(screenshot: app.screenshot())
attachment.name = "Launch Screen"
attachment.lifetime = .keepAlways
add(attachment)
}
}
+208 -65
View File
@@ -15,14 +15,14 @@ struct ContentView: View {
@EnvironmentObject private var localNetworkChecker: LocalNetworkChecker
@EnvironmentObject private var updater: SparkleUpdater
@EnvironmentObject private var thunderboltBridgeService: ThunderboltBridgeService
@EnvironmentObject private var settingsWindowController: SettingsWindowController
@EnvironmentObject private var bugReportWindowController: BugReportWindowController
@State private var focusedNode: NodeViewModel?
@State private var deletingInstanceIDs: Set<String> = []
@State private var showAllNodes = false
@State private var showAllInstances = false
@State private var baseURLCopied = false
@State private var showAdvanced = false
@State private var showDebugInfo = false
@State private var bugReportInFlight = false
@State private var bugReportMessage: String?
@State private var uninstallInProgress = false
@State private var pendingNamespace: String = ""
@State private var pendingHFToken: String = ""
@@ -258,86 +258,139 @@ struct ContentView: View {
VStack(alignment: .leading, spacing: 0) {
if controller.status != .stopped {
dashboardButton
baseURLRow
Divider()
.padding(.vertical, 8)
} else {
Divider()
.padding(.vertical, 4)
}
HoverButton(
title: "Settings",
tint: .primary,
trailingSystemImage: "gear"
) {
settingsWindowController.open(
controller: controller,
updater: updater,
networkStatusService: networkStatusService,
thunderboltBridgeService: thunderboltBridgeService,
stateService: stateService
)
}
HoverButton(
title: "Check for Updates",
tint: .primary,
trailingSystemImage: "arrow.triangle.2.circlepath"
) {
updater.checkForUpdates()
}
HoverButton(
title: "Share Bug Report…",
tint: .primary,
trailingSystemImage: "ladybug"
) {
bugReportWindowController.open()
}
.padding(.bottom, 8)
HoverButton(title: "Quit", tint: .secondary) {
advancedSection
.padding(.bottom, 8)
controlButton(title: "Quit", tint: .secondary) {
controller.stop()
NSApplication.shared.terminate(nil)
}
}
}
private var dashboardButton: some View {
HoverButton(
title: "Web Dashboard",
tint: .primary,
trailingSystemImage: "arrow.up.right"
) {
guard let url = URL(string: "http://localhost:52415/") else { return }
NSWorkspace.shared.open(url)
private var advancedSection: some View {
VStack(alignment: .leading, spacing: 6) {
HStack {
Text("Advanced")
.font(.caption)
.foregroundColor(.secondary)
Spacer()
collapseButton(isExpanded: $showAdvanced)
}
.animation(nil, value: showAdvanced)
if showAdvanced {
VStack(alignment: .leading, spacing: 8) {
VStack(alignment: .leading, spacing: 4) {
Text("Cluster Namespace")
.font(.caption2)
.foregroundColor(.secondary)
HStack {
TextField("optional", text: $pendingNamespace)
.textFieldStyle(.roundedBorder)
.font(.caption2)
.onAppear {
pendingNamespace = controller.customNamespace
}
Button("Save & Restart") {
controller.customNamespace = pendingNamespace
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingNamespace == controller.customNamespace)
}
}
VStack(alignment: .leading, spacing: 4) {
Text("HuggingFace Token")
.font(.caption2)
.foregroundColor(.secondary)
HStack {
SecureField("optional", text: $pendingHFToken)
.textFieldStyle(.roundedBorder)
.font(.caption2)
.onAppear {
pendingHFToken = controller.hfToken
}
Button("Save & Restart") {
controller.hfToken = pendingHFToken
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingHFToken == controller.hfToken)
}
}
Divider()
HStack {
Toggle(
"Enable Image Models (experimental)", isOn: $pendingEnableImageModels
)
.toggleStyle(.switch)
.font(.caption2)
.onAppear {
pendingEnableImageModels = controller.enableImageModels
}
Spacer()
Button("Save & Restart") {
controller.enableImageModels = pendingEnableImageModels
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
.font(.caption2)
.disabled(pendingEnableImageModels == controller.enableImageModels)
}
HoverButton(title: "Check for Updates", small: true) {
updater.checkForUpdates()
}
debugSection
HoverButton(title: "Uninstall", tint: .red, small: true) {
showUninstallConfirmationAlert()
}
.disabled(uninstallInProgress)
}
.transition(.opacity)
}
}
.animation(.easeInOut(duration: 0.25), value: showAdvanced)
}
private var baseURLRow: some View {
HStack(spacing: 6) {
Image(systemName: "link")
.imageScale(.small)
.foregroundColor(.secondary)
Text("localhost:52415/v1")
.font(.system(.caption, design: .monospaced))
.foregroundColor(.primary)
Spacer()
Button {
NSPasteboard.general.clearContents()
NSPasteboard.general.setString("http://localhost:52415/v1", forType: .string)
baseURLCopied = true
DispatchQueue.main.asyncAfter(deadline: .now() + 2) {
baseURLCopied = false
}
} label: {
Image(systemName: baseURLCopied ? "checkmark" : "doc.on.doc")
private func controlButton(title: String, tint: Color = .primary, action: @escaping () -> Void)
-> some View
{
HoverButton(title: title, tint: tint, trailingSystemImage: nil, action: action)
}
private var dashboardButton: some View {
Button {
guard let url = URL(string: "http://localhost:52415/") else { return }
NSWorkspace.shared.open(url)
} label: {
HStack {
Image(systemName: "arrow.up.right.square")
.imageScale(.small)
.foregroundColor(baseURLCopied ? .green : .secondary)
.contentTransition(.symbolEffect(.replace))
Text("Dashboard")
.fontWeight(.medium)
Spacer()
}
.buttonStyle(.plain)
.help("Copy API base URL")
.padding(.vertical, 8)
.padding(.horizontal, 10)
.background(
RoundedRectangle(cornerRadius: 8, style: .continuous)
.fill(Color(red: 1.0, green: 0.87, blue: 0.0).opacity(0.2))
)
}
.padding(.vertical, 4)
.padding(.horizontal, 8)
.buttonStyle(.plain)
.padding(.bottom, 4)
}
private func collapseButton(isExpanded: Binding<Bool>) -> some View {
@@ -475,6 +528,40 @@ struct ContentView: View {
}
}
private var debugSection: some View {
VStack(alignment: .leading, spacing: 4) {
HoverButton(
title: "Debug Info",
tint: .primary,
trailingSystemImage: showDebugInfo ? "chevron.up" : "chevron.down",
small: true
) {
showDebugInfo.toggle()
}
if showDebugInfo {
VStack(alignment: .leading, spacing: 4) {
Text("Version: \(buildTag)")
.font(.caption2)
.foregroundColor(.secondary)
Text("Commit: \(buildCommit)")
.font(.caption2)
.foregroundColor(.secondary)
Text(thunderboltStatusText)
.font(.caption2)
.foregroundColor(thunderboltStatusColor)
clusterThunderboltBridgeView
interfaceIpList
rdmaStatusView
sendBugReportButton
.padding(.top, 6)
}
.padding(.leading, 8)
.transition(.opacity)
}
}
.animation(.easeInOut(duration: 0.25), value: showDebugInfo)
}
private var rdmaStatusView: some View {
let rdmaStatuses = stateService.latestSnapshot?.nodeRdmaCtl ?? [:]
let localNodeId = stateService.localNodeId
@@ -523,6 +610,42 @@ struct ContentView: View {
}
}
private var sendBugReportButton: some View {
VStack(alignment: .leading, spacing: 4) {
Button {
Task {
await sendBugReport()
}
} label: {
HStack {
if bugReportInFlight {
ProgressView()
.scaleEffect(0.6)
}
Text("Send Bug Report")
.font(.caption)
.fontWeight(.semibold)
Spacer()
}
.padding(.vertical, 6)
.padding(.horizontal, 8)
.background(
RoundedRectangle(cornerRadius: 6)
.fill(Color.accentColor.opacity(0.12))
)
}
.buttonStyle(.plain)
.disabled(bugReportInFlight)
if let message = bugReportMessage {
Text(message)
.font(.caption2)
.foregroundColor(.secondary)
.fixedSize(horizontal: false, vertical: true)
}
}
}
private var processToggleBinding: Binding<Bool> {
Binding(
get: {
@@ -563,6 +686,19 @@ struct ContentView: View {
)
}
private func sendBugReport() async {
bugReportInFlight = true
bugReportMessage = "Collecting logs..."
let service = BugReportService()
do {
let outcome = try await service.sendReport(isManual: true)
bugReportMessage = outcome.message
} catch {
bugReportMessage = error.localizedDescription
}
bugReportInFlight = false
}
private func showUninstallConfirmationAlert() {
let alert = NSAlert()
alert.messageText = "Uninstall EXO"
@@ -645,6 +781,13 @@ struct ContentView: View {
}
}
private var buildTag: String {
Bundle.main.infoDictionary?["EXOBuildTag"] as? String ?? "unknown"
}
private var buildCommit: String {
Bundle.main.infoDictionary?["EXOBuildCommit"] as? String ?? "unknown"
}
}
private struct HoverButton: View {
+1 -18
View File
@@ -21,10 +21,7 @@ struct EXOApp: App {
@StateObject private var localNetworkChecker: LocalNetworkChecker
@StateObject private var updater: SparkleUpdater
@StateObject private var thunderboltBridgeService: ThunderboltBridgeService
@StateObject private var settingsWindowController: SettingsWindowController
@StateObject private var bugReportWindowController: BugReportWindowController
private let terminationObserver: TerminationObserver
private let firstLaunchPopout = FirstLaunchPopout()
private let ciContext = CIContext(options: nil)
init() {
@@ -46,14 +43,12 @@ struct EXOApp: App {
_updater = StateObject(wrappedValue: updater)
let thunderboltBridge = ThunderboltBridgeService(clusterStateService: service)
_thunderboltBridgeService = StateObject(wrappedValue: thunderboltBridge)
_settingsWindowController = StateObject(wrappedValue: SettingsWindowController())
_bugReportWindowController = StateObject(wrappedValue: BugReportWindowController())
enableLaunchAtLoginIfNeeded()
// Install LaunchDaemon to disable Thunderbolt Bridge on startup (prevents network loops)
NetworkSetupHelper.promptAndInstallIfNeeded()
// Check local network access periodically (warning disappears when user grants permission)
localNetwork.startPeriodicChecking(interval: 10)
controller.scheduleLaunch(after: 5)
controller.scheduleLaunch(after: 15)
service.startPolling()
networkStatus.startPolling()
}
@@ -67,20 +62,8 @@ struct EXOApp: App {
.environmentObject(localNetworkChecker)
.environmentObject(updater)
.environmentObject(thunderboltBridgeService)
.environmentObject(settingsWindowController)
.environmentObject(bugReportWindowController)
} label: {
menuBarIcon
.onReceive(controller.$isFirstLaunchReady) { ready in
if ready {
DispatchQueue.main.asyncAfter(deadline: .now() + 3.0) {
self.firstLaunchPopout.onComplete = { [weak controller] in
controller?.markOnboardingCompleted()
}
self.firstLaunchPopout.show()
}
}
}
}
.menuBarExtraStyle(.window)
}
+3 -169
View File
@@ -4,30 +4,7 @@ import Foundation
private let customNamespaceKey = "EXOCustomNamespace"
private let hfTokenKey = "EXOHFToken"
private let hfEndpointKey = "EXOHFEndpoint"
private let enableImageModelsKey = "EXOEnableImageModels"
private let offlineModeKey = "EXOOfflineMode"
private let fastSynchEnabledKey = "EXOFastSynchEnabled"
private let onboardingCompletedKey = "EXOOnboardingCompleted"
private let defaultModelsDirKey = "EXODefaultModelsDir"
private let additionalModelsDirsKey = "EXOAdditionalModelsDirs"
private let readOnlyModelsDirsKey = "EXOReadOnlyModelsDirs"
private let customEnvironmentVariablesKey = "EXOCustomEnvironmentVariables"
/// A user-defined environment variable that is injected into the exo child
/// process at launch. Used as an escape hatch for env vars that don't have
/// first-class typed UI in Settings.
struct CustomEnvironmentVariable: Codable, Identifiable, Equatable {
var id: UUID
var key: String
var value: String
init(id: UUID = UUID(), key: String = "", value: String = "") {
self.id = id
self.key = key
self.value = value
}
}
@MainActor
final class ExoProcessController: ObservableObject {
@@ -74,14 +51,6 @@ final class ExoProcessController: ObservableObject {
UserDefaults.standard.set(hfToken, forKey: hfTokenKey)
}
}
@Published var hfEndpoint: String = {
return UserDefaults.standard.string(forKey: hfEndpointKey) ?? ""
}()
{
didSet {
UserDefaults.standard.set(hfEndpoint, forKey: hfEndpointKey)
}
}
@Published var enableImageModels: Bool = {
return UserDefaults.standard.bool(forKey: enableImageModelsKey)
}()
@@ -90,71 +59,6 @@ final class ExoProcessController: ObservableObject {
UserDefaults.standard.set(enableImageModels, forKey: enableImageModelsKey)
}
}
@Published var offlineMode: Bool = {
return UserDefaults.standard.bool(forKey: offlineModeKey)
}()
{
didSet {
UserDefaults.standard.set(offlineMode, forKey: offlineModeKey)
}
}
@Published var fastSynchEnabled: Bool = {
if UserDefaults.standard.object(forKey: fastSynchEnabledKey) == nil {
return true
}
return UserDefaults.standard.bool(forKey: fastSynchEnabledKey)
}()
{
didSet {
UserDefaults.standard.set(fastSynchEnabled, forKey: fastSynchEnabledKey)
}
}
@Published var defaultModelsDir: String = {
return UserDefaults.standard.string(forKey: defaultModelsDirKey) ?? ""
}()
{
didSet {
UserDefaults.standard.set(defaultModelsDir, forKey: defaultModelsDirKey)
}
}
@Published var additionalModelsDirs: String = {
return UserDefaults.standard.string(forKey: additionalModelsDirsKey) ?? ""
}()
{
didSet {
UserDefaults.standard.set(additionalModelsDirs, forKey: additionalModelsDirsKey)
}
}
@Published var readOnlyModelsDirs: String = {
return UserDefaults.standard.string(forKey: readOnlyModelsDirsKey) ?? ""
}()
{
didSet {
UserDefaults.standard.set(readOnlyModelsDirs, forKey: readOnlyModelsDirsKey)
}
}
@Published var customEnvironmentVariables: [CustomEnvironmentVariable] = {
guard
let data = UserDefaults.standard.data(forKey: customEnvironmentVariablesKey),
let decoded = try? JSONDecoder().decode(
[CustomEnvironmentVariable].self, from: data
)
else {
return []
}
return decoded
}()
{
didSet {
guard let data = try? JSONEncoder().encode(customEnvironmentVariables) else {
return
}
UserDefaults.standard.set(data, forKey: customEnvironmentVariablesKey)
}
}
/// Fires once when EXO transitions to `.running` for the very first time (fresh install).
@Published private(set) var isFirstLaunchReady = false
private var process: Process?
private var runtimeDirectoryURL: URL?
@@ -209,9 +113,6 @@ final class ExoProcessController: ObservableObject {
try child.run()
process = child
status = .running
// Show welcome popout on every launch
isFirstLaunchReady = true
} catch {
process = nil
status = .failed(message: "Launch error")
@@ -225,37 +126,11 @@ final class ExoProcessController: ObservableObject {
return
}
process.terminationHandler = nil
status = .stopped
guard process.isRunning else {
self.process = nil
return
if process.isRunning {
process.terminate()
}
let proc = process
self.process = nil
Task.detached {
proc.interrupt()
for _ in 0..<50 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
proc.terminate()
}
for _ in 0..<30 {
if !proc.isRunning { return }
try? await Task.sleep(nanoseconds: 100_000_000)
}
if proc.isRunning {
kill(proc.processIdentifier, SIGKILL)
}
}
status = .stopped
}
func restart() {
@@ -263,17 +138,6 @@ final class ExoProcessController: ObservableObject {
launch()
}
/// Mark onboarding as completed (user interacted with the welcome popout).
func markOnboardingCompleted() {
UserDefaults.standard.set(true, forKey: onboardingCompletedKey)
}
/// Reset onboarding so the welcome popout appears on next launch.
func resetOnboarding() {
UserDefaults.standard.removeObject(forKey: onboardingCompletedKey)
isFirstLaunchReady = false
}
func scheduleLaunch(after seconds: TimeInterval) {
cancelPendingLaunch()
let start = max(1, Int(ceil(seconds)))
@@ -356,16 +220,9 @@ final class ExoProcessController: ObservableObject {
if !hfToken.isEmpty {
environment["HF_TOKEN"] = hfToken
}
if !hfEndpoint.isEmpty {
environment["HF_ENDPOINT"] = hfEndpoint
}
if enableImageModels {
environment["EXO_ENABLE_IMAGE_MODELS"] = "true"
}
if offlineMode {
environment["EXO_OFFLINE"] = "true"
}
environment["EXO_FAST_SYNCH"] = fastSynchEnabled ? "true" : "false"
var paths: [String] = []
if let existing = environment["PATH"], !existing.isEmpty {
@@ -390,29 +247,6 @@ final class ExoProcessController: ObservableObject {
}
environment["PATH"] = paths.joined(separator: ":")
let trimmedDefaultModelsDir = defaultModelsDir.trimmingCharacters(in: .whitespaces)
if !trimmedDefaultModelsDir.isEmpty {
environment["EXO_DEFAULT_MODELS_DIR"] = trimmedDefaultModelsDir
}
let trimmedAdditionalModelsDirs = additionalModelsDirs.trimmingCharacters(in: .whitespaces)
if !trimmedAdditionalModelsDirs.isEmpty {
environment["EXO_MODELS_DIRS"] = trimmedAdditionalModelsDirs
}
let trimmedReadOnlyModelsDirs = readOnlyModelsDirs.trimmingCharacters(in: .whitespaces)
if !trimmedReadOnlyModelsDirs.isEmpty {
environment["EXO_MODELS_READ_ONLY_DIRS"] = trimmedReadOnlyModelsDirs
}
// Apply user-defined arbitrary environment variables last so that
// power users can override any of the typed fields above when
// necessary. Empty keys are ignored.
for variable in customEnvironmentVariables {
let trimmedKey = variable.key.trimmingCharacters(in: .whitespaces)
guard !trimmedKey.isEmpty else { continue }
environment[trimmedKey] = variable.value
}
return environment
}
+1 -1
View File
@@ -9,7 +9,7 @@
<key>EXOBuildCommit</key>
<string>$(EXO_BUILD_COMMIT)</string>
<key>EXOBugReportPresignedUrlEndpoint</key>
<string>https://reports.exolabs.net/presigned-urls</string>
<string>$(EXO_BUG_REPORT_PRESIGNED_URL_ENDPOINT)</string>
<key>NSLocalNetworkUsageDescription</key>
<string>EXO needs local network access to discover and connect to other devices in your cluster for distributed AI inference.</string>
<key>NSBonjourServices</key>
+3 -9
View File
@@ -38,8 +38,7 @@ struct BugReportService {
func sendReport(
baseURL: URL = URL(string: "http://127.0.0.1:52415")!,
now: Date = Date(),
isManual: Bool = false,
userDescription: String? = nil
isManual: Bool = false
) async throws -> BugReportOutcome {
let timestamp = Self.runTimestampString(now)
let dayPrefix = Self.dayPrefixString(now)
@@ -61,8 +60,7 @@ struct BugReportService {
ifconfig: ifconfigText,
debugInfo: debugInfo,
isManual: isManual,
clusterTbBridgeStatus: clusterTbBridgeStatus,
userDescription: userDescription
clusterTbBridgeStatus: clusterTbBridgeStatus
)
let eventLogFiles = readAllEventLogs()
@@ -308,8 +306,7 @@ struct BugReportService {
ifconfig: String,
debugInfo: DebugInfo,
isManual: Bool,
clusterTbBridgeStatus: [[String: Any]]?,
userDescription: String? = nil
clusterTbBridgeStatus: [[String: Any]]?
) -> Data? {
let system = readSystemMetadata()
let exo = readExoMetadata()
@@ -326,9 +323,6 @@ struct BugReportService {
if let tbStatus = clusterTbBridgeStatus {
payload["cluster_thunderbolt_bridge"] = tbStatus
}
if let desc = userDescription, !desc.isEmpty {
payload["user_description"] = desc
}
return try? JSONSerialization.data(withJSONObject: payload, options: [.prettyPrinted])
}
+1 -18
View File
@@ -17,7 +17,7 @@ final class ClusterStateService: ObservableObject {
init(
baseURL: URL = URL(string: "http://127.0.0.1:52415")!,
session: URLSession = ClusterStateService.makeNonCachingSession()
session: URLSession = .shared
) {
self.baseURL = baseURL
self.endpoint = baseURL.appendingPathComponent("state")
@@ -27,23 +27,6 @@ final class ClusterStateService: ObservableObject {
self.decoder = decoder
}
/// `URLSession.shared` carries an on-disk `URLCache` that persists every
/// response body under `~/Library/Caches/exolabs.EXO/`. We poll `/state`
/// at 2 Hz from `startPolling`, so leaving the shared cache attached
/// dirties ~500620 KB/sec of file-backed memory and trips macOS's
/// per-process `disk writes` resource limit (microstackshot reports
/// observed on M3 Ultra producing GBs of cached responses per hour).
/// Cluster-state polling responses are time-sensitive and small; they
/// gain nothing from being cached on disk. Use an ephemeral session
/// with `urlCache = nil` so neither response bodies nor metadata
/// touch disk.
private static func makeNonCachingSession() -> URLSession {
let config = URLSessionConfiguration.ephemeral
config.urlCache = nil
config.requestCachePolicy = .reloadIgnoringLocalCacheData
return URLSession(configuration: config)
}
func startPolling(interval: TimeInterval = 0.5) {
stopPolling()
Task {
@@ -1,242 +0,0 @@
import AppKit
import SwiftUI
/// Manages a standalone window for the bug-report flow.
/// Ensures only one instance exists and brings it to front on repeated opens.
@MainActor
final class BugReportWindowController: ObservableObject {
private var window: NSWindow?
func open() {
if let existing = window, existing.isVisible {
existing.makeKeyAndOrderFront(nil)
NSApp.activate()
return
}
let view = BugReportView(onDismiss: { [weak self] in
self?.window?.close()
})
let hostingController = NSHostingController(rootView: view)
hostingController.sizingOptions = [.preferredContentSize, .minSize]
let newWindow = NSWindow(contentViewController: hostingController)
newWindow.styleMask = [.titled, .closable, .resizable]
newWindow.title = "Send a Bug Report"
newWindow.center()
newWindow.setFrameAutosaveName("ExoBugReportWindow")
newWindow.isReleasedWhenClosed = false
newWindow.makeKeyAndOrderFront(nil)
NSApp.activate()
window = newWindow
}
}
private struct BugReportView: View {
fileprivate enum Phase: Equatable {
case prompting
case sending(String)
case success(String)
case failure(String)
}
let onDismiss: () -> Void
@State private var phase: Phase = .prompting
@State private var userDescription: String = ""
@FocusState private var descriptionFocused: Bool
var body: some View {
VStack(alignment: .leading, spacing: 12) {
switch phase {
case .prompting:
promptingView
case .sending(let message):
sendingView(message: message)
case .success(let message):
successView(message: message)
case .failure(let message):
failureView(message: message)
}
}
.padding(16)
.frame(minWidth: 380)
.animation(.easeInOut(duration: 0.2), value: phase)
.onAppear { descriptionFocused = true }
}
private var promptingView: some View {
VStack(alignment: .leading, spacing: 8) {
Text("Description (optional)")
.font(.subheadline)
.foregroundColor(.secondary)
ZStack(alignment: .topLeading) {
if userDescription.isEmpty {
Text("What were you doing when it broke?")
.font(.body)
.foregroundColor(Color(nsColor: .placeholderTextColor))
.padding(.horizontal, 10)
.padding(.vertical, 8)
.allowsHitTesting(false)
}
TextEditor(text: $userDescription)
.font(.body)
.scrollContentBackground(.hidden)
.padding(4)
.frame(height: 72)
.focused($descriptionFocused)
}
.background(
RoundedRectangle(cornerRadius: 6)
.fill(Color(nsColor: .textBackgroundColor))
)
.overlay(
RoundedRectangle(cornerRadius: 6)
.strokeBorder(Color(nsColor: .separatorColor), lineWidth: 1)
)
Text("Diagnostic logs will be uploaded with your report.")
.font(.caption)
.foregroundColor(.secondary)
HStack {
Spacer()
Button("Cancel") { onDismiss() }
.keyboardShortcut(.cancelAction)
Button("Send") {
Task { await send() }
}
.keyboardShortcut(.defaultAction)
}
.padding(.top, 4)
}
}
private func sendingView(message: String) -> some View {
VStack(alignment: .leading, spacing: 12) {
HStack(spacing: 10) {
ProgressView().controlSize(.small)
Text(message)
.foregroundColor(.secondary)
}
HStack {
Spacer()
Button("Cancel") { onDismiss() }
.keyboardShortcut(.cancelAction)
.disabled(true)
Button("Send") {}
.disabled(true)
}
}
}
private func successView(message: String) -> some View {
VStack(alignment: .leading, spacing: 12) {
HStack(alignment: .top, spacing: 10) {
Image(systemName: "checkmark.circle.fill")
.foregroundColor(.green)
.font(.title2)
Text(message)
.fixedSize(horizontal: false, vertical: true)
}
HStack {
Button {
openGitHubIssue()
} label: {
HStack(spacing: 4) {
Image(systemName: "arrow.up.right.square")
Text("Open GitHub Issue")
}
}
Spacer()
Button("Done") { onDismiss() }
.keyboardShortcut(.defaultAction)
}
}
}
private func failureView(message: String) -> some View {
VStack(alignment: .leading, spacing: 12) {
HStack(alignment: .top, spacing: 10) {
Image(systemName: "exclamationmark.triangle.fill")
.foregroundColor(.orange)
.font(.title2)
Text(message)
.fixedSize(horizontal: false, vertical: true)
}
HStack {
Spacer()
Button("Try Again") {
phase = .prompting
}
Button("Close") { onDismiss() }
.keyboardShortcut(.defaultAction)
}
}
}
private func send() async {
phase = .sending("Collecting logs and uploading…")
let service = BugReportService()
let description = userDescription.trimmingCharacters(in: .whitespacesAndNewlines)
do {
let outcome = try await service.sendReport(
isManual: true,
userDescription: description.isEmpty ? nil : description
)
if outcome.success {
phase = .success(outcome.message)
} else {
phase = .failure(outcome.message)
}
} catch {
phase = .failure(error.localizedDescription)
}
}
private func openGitHubIssue() {
let description = userDescription.trimmingCharacters(in: .whitespacesAndNewlines)
var bodyParts: [String] = []
bodyParts.append("## Describe the bug")
bodyParts.append("")
if !description.isEmpty {
bodyParts.append(description)
} else {
bodyParts.append("A clear and concise description of what the bug is.")
}
bodyParts.append("")
bodyParts.append("## Environment")
bodyParts.append("")
bodyParts.append("- macOS Version: \(ProcessInfo.processInfo.operatingSystemVersionString)")
bodyParts.append("- EXO Version: \(buildTag) (\(buildCommit))")
bodyParts.append("")
bodyParts.append("## Additional context")
bodyParts.append("")
bodyParts.append("A bug report with diagnostic logs was submitted via the app.")
let body = bodyParts.joined(separator: "\n")
var components = URLComponents(string: "https://github.com/exo-explore/exo/issues/new")!
components.queryItems = [
URLQueryItem(name: "template", value: "bug_report.md"),
URLQueryItem(name: "title", value: "[BUG] "),
URLQueryItem(name: "body", value: body),
URLQueryItem(name: "labels", value: "bug"),
]
if let url = components.url {
NSWorkspace.shared.open(url)
}
}
private var buildTag: String {
Bundle.main.infoDictionary?["EXOBuildTag"] as? String ?? "unknown"
}
private var buildCommit: String {
Bundle.main.infoDictionary?["EXOBuildCommit"] as? String ?? "unknown"
}
}
-200
View File
@@ -1,200 +0,0 @@
import AppKit
import SwiftUI
/// A popover callout anchored to the menu bar icon on every launch,
/// pointing the user to the web dashboard with an arrow connecting to the icon.
@MainActor
final class FirstLaunchPopout {
private var popover: NSPopover?
private var countdownTask: Task<Void, Never>?
private static let dashboardURL = "http://localhost:52415/"
/// Called when the user completes onboarding (clicks Open Dashboard or dismisses).
var onComplete: (() -> Void)?
func show() {
guard popover == nil else { return }
// The status bar button may not exist yet on first launch; retry generously.
showWithRetry(attemptsRemaining: 15)
}
private func showWithRetry(attemptsRemaining: Int) {
guard attemptsRemaining > 0 else {
// Exhausted retries fall back to just opening the dashboard directly.
openDashboard()
onComplete?()
return
}
guard let button = Self.findStatusItemButton() else {
DispatchQueue.main.asyncAfter(deadline: .now() + 1.0) { [weak self] in
self?.showWithRetry(attemptsRemaining: attemptsRemaining - 1)
}
return
}
let pop = NSPopover()
pop.behavior = .applicationDefined
pop.animates = true
pop.contentSize = NSSize(width: 280, height: 120)
pop.contentViewController = NSHostingController(
rootView: WelcomeCalloutView(
countdownDuration: 10,
onDismiss: { [weak self] in
self?.onComplete?()
self?.dismiss()
},
onOpen: { [weak self] in
self?.openDashboard()
self?.onComplete?()
self?.dismiss()
}
)
)
self.popover = pop
pop.show(relativeTo: button.bounds, of: button, preferredEdge: .minY)
// Auto-open dashboard after 10s then dismiss
countdownTask = Task {
try? await Task.sleep(nanoseconds: 10_000_000_000)
if !Task.isCancelled {
openDashboard()
onComplete?()
dismiss()
}
}
}
func dismiss() {
countdownTask?.cancel()
countdownTask = nil
guard let pop = popover else { return }
popover = nil
pop.performClose(nil)
}
private func openDashboard() {
guard let url = URL(string: Self.dashboardURL) else { return }
NSWorkspace.shared.open(url)
}
/// Finds the NSStatusBarButton created by SwiftUI's MenuBarExtra.
/// Walks the view hierarchy to find the actual button rather than the content view.
private static func findStatusItemButton() -> NSView? {
for window in NSApp.windows {
let className = NSStringFromClass(type(of: window))
// Match NSStatusBarWindow or any internal SwiftUI status bar window
guard className.contains("StatusBar") || className.contains("MenuBarExtra") else {
continue
}
if let content = window.contentView {
if let button = findButton(in: content) {
return button
}
// Fall back to the content view itself if it has a non-zero frame
if content.frame.width > 0 {
return content
}
}
}
return nil
}
/// Recursively searches the view hierarchy for an NSStatusBarButton.
private static func findButton(in view: NSView) -> NSView? {
let className = NSStringFromClass(type(of: view))
if className.contains("StatusBarButton") || className.contains("StatusItem") {
return view
}
for subview in view.subviews {
if let found = findButton(in: subview) {
return found
}
}
return nil
}
}
/// Minimal welcome callout friendly pointer, not a wall of text.
/// Rendered inside the NSPopover which provides its own chrome and arrow.
private struct WelcomeCalloutView: View {
let countdownDuration: Int
let onDismiss: () -> Void
let onOpen: () -> Void
@State private var countdown: Int
@State private var timerTask: Task<Void, Never>?
init(countdownDuration: Int, onDismiss: @escaping () -> Void, onOpen: @escaping () -> Void) {
self.countdownDuration = countdownDuration
self.onDismiss = onDismiss
self.onOpen = onOpen
self._countdown = State(initialValue: countdownDuration)
}
var body: some View {
VStack(alignment: .leading, spacing: 10) {
HStack(alignment: .top) {
Text("EXO is running")
.font(.system(.headline, design: .rounded))
.fontWeight(.semibold)
.foregroundColor(.primary)
Spacer()
Button {
onDismiss()
} label: {
Image(systemName: "xmark.circle.fill")
.font(.system(size: 14))
.foregroundStyle(.tertiary)
}
.buttonStyle(.plain)
}
Text("Run your first model here:")
.font(.system(.subheadline, design: .default))
.foregroundColor(.secondary)
HStack {
Button {
onOpen()
} label: {
Label("Open Dashboard", systemImage: "arrow.up.right.square")
.font(.system(.caption, design: .default))
.fontWeight(.medium)
}
.buttonStyle(.borderedProminent)
.tint(.accentColor)
.controlSize(.small)
Spacer()
if countdown > 0 {
Text("Launching in \(countdown) secs...")
.font(.system(.caption2, design: .default))
.foregroundColor(.secondary.opacity(0.6))
.monospacedDigit()
}
}
}
.padding(14)
.onAppear {
startCountdown()
}
.onDisappear {
timerTask?.cancel()
timerTask = nil
}
}
private func startCountdown() {
timerTask = Task {
while countdown > 0 {
try? await Task.sleep(nanoseconds: 1_000_000_000)
if !Task.isCancelled {
countdown -= 1
}
}
}
}
}
-718
View File
@@ -1,718 +0,0 @@
import AppKit
import SwiftUI
/// Native macOS Settings window following Apple HIG.
/// Organized into General, Model, Advanced, and About sections.
struct SettingsView: View {
@EnvironmentObject private var controller: ExoProcessController
@EnvironmentObject private var updater: SparkleUpdater
@EnvironmentObject private var networkStatusService: NetworkStatusService
@EnvironmentObject private var thunderboltBridgeService: ThunderboltBridgeService
@EnvironmentObject private var stateService: ClusterStateService
@State private var pendingNamespace: String = ""
@State private var pendingHFToken: String = ""
@State private var pendingHFEndpoint: String = ""
@State private var pendingEnableImageModels = false
@State private var pendingOfflineMode = false
@State private var pendingFastSynchEnabled = false
@State private var pendingDefaultModelsDir: String = ""
@State private var pendingAdditionalModelsDirs: String = ""
@State private var pendingReadOnlyModelsDirs: String = ""
@State private var pendingCustomEnvironmentVariables: [CustomEnvironmentVariable] = []
@State private var needsRestart = false
@State private var uninstallInProgress = false
var body: some View {
TabView {
generalTab
.tabItem {
Label("General", systemImage: "gear")
}
modelTab
.tabItem {
Label("Model", systemImage: "cube")
}
advancedTab
.tabItem {
Label("Advanced", systemImage: "wrench.and.screwdriver")
}
environmentTab
.tabItem {
Label("Environment", systemImage: "terminal")
}
aboutTab
.tabItem {
Label("About", systemImage: "info.circle")
}
}
.frame(width: 640, height: 560)
.onAppear {
pendingNamespace = controller.customNamespace
pendingHFToken = controller.hfToken
pendingHFEndpoint = controller.hfEndpoint
pendingEnableImageModels = controller.enableImageModels
pendingOfflineMode = controller.offlineMode
pendingFastSynchEnabled = controller.fastSynchEnabled
pendingDefaultModelsDir = controller.defaultModelsDir
pendingAdditionalModelsDirs = controller.additionalModelsDirs
pendingReadOnlyModelsDirs = controller.readOnlyModelsDirs
pendingCustomEnvironmentVariables = controller.customEnvironmentVariables
needsRestart = false
}
}
// MARK: - General Tab
private var generalTab: some View {
Form {
Section {
LabeledContent("Cluster Namespace") {
TextField("", text: $pendingNamespace, prompt: Text("default"))
.textFieldStyle(.roundedBorder)
.frame(width: 260)
}
Text("Nodes with the same namespace form a cluster. Leave empty for default.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
LabeledContent("HuggingFace Token") {
SecureField("", text: $pendingHFToken, prompt: Text("optional"))
.textFieldStyle(.roundedBorder)
.frame(width: 260)
}
Text("Required for gated models. Get yours at huggingface.co/settings/tokens")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
LabeledContent("HuggingFace Endpoint") {
TextField("", text: $pendingHFEndpoint, prompt: Text("default"))
.textFieldStyle(.roundedBorder)
.frame(width: 260)
}
Text("Defaults to huggingface.co. Use a mirror (e.g. hf-mirror.com) for China.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
Toggle("Offline Mode", isOn: $pendingOfflineMode)
Text("Skip internet checks and use only locally available models.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
HStack {
Spacer()
Button("Save & Restart") {
applyGeneralSettings()
}
.disabled(!hasGeneralChanges)
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Model Tab
private var modelTab: some View {
Form {
Section {
Toggle("Enable Image Models (experimental)", isOn: $pendingEnableImageModels)
Text("Allow text-to-image and image-to-image models in the model picker.")
.font(.caption)
.foregroundColor(.secondary)
}
Section {
HStack {
Spacer()
Button("Save & Restart") {
applyModelSettings()
}
.disabled(!hasModelChanges)
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Advanced Tab
private var advancedTab: some View {
Form {
Section("Performance") {
Toggle("Fast Synch Enabled", isOn: $pendingFastSynchEnabled)
Text(
"Experimental: enables fast CPU to GPU synchronization. Can sometimes cause a \"GPU lock\" where inference hangs for ~10 seconds before starting. Necessary for low latency with RDMA and Tensor Parallelism."
)
.font(.caption)
.foregroundColor(.secondary)
HStack {
Spacer()
Button("Save & Restart") {
applyAdvancedSettings()
}
.disabled(!hasAdvancedChanges)
}
}
Section("Onboarding") {
HStack {
VStack(alignment: .leading) {
Text("Reset Onboarding")
Text("Opens the dashboard and resets the onboarding wizard.")
.font(.caption)
.foregroundColor(.secondary)
}
Spacer()
Button("Reset") {
guard let url = URL(string: "http://localhost:52415/?reset-onboarding")
else { return }
NSWorkspace.shared.open(url)
}
}
}
Section("Debug Info") {
LabeledContent("Thunderbolt Bridge") {
Text(thunderboltStatusText)
.foregroundColor(thunderboltStatusColor)
}
VStack(alignment: .leading, spacing: 2) {
clusterThunderboltBridgeView
}
VStack(alignment: .leading, spacing: 2) {
interfaceIpList
}
VStack(alignment: .leading, spacing: 2) {
rdmaStatusView
}
}
Section("Danger Zone") {
Button(role: .destructive) {
showUninstallConfirmationAlert()
} label: {
HStack {
Text("Uninstall EXO")
Spacer()
Image(systemName: "trash")
.imageScale(.small)
}
}
.disabled(uninstallInProgress)
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Environment Tab
private var environmentTab: some View {
Form {
Section("Models Directories") {
LabeledContent("Default Models Directory") {
TextField(
"",
text: $pendingDefaultModelsDir,
prompt: Text("~/.exo/models")
)
.textFieldStyle(.roundedBorder)
.font(.system(.body, design: .monospaced))
.frame(width: 260)
}
Text("Sets EXO_DEFAULT_MODELS_DIR. Where models are downloaded.")
.font(.caption)
.foregroundColor(.secondary)
LabeledContent("Additional Directories") {
TextField(
"",
text: $pendingAdditionalModelsDirs,
prompt: Text("optional, colon-separated")
)
.textFieldStyle(.roundedBorder)
.font(.system(.body, design: .monospaced))
.frame(width: 260)
}
Text("Sets EXO_MODELS_DIRS. Extra writable model directories.")
.font(.caption)
.foregroundColor(.secondary)
LabeledContent("Read-Only Directories") {
TextField(
"",
text: $pendingReadOnlyModelsDirs,
prompt: Text("optional, colon-separated")
)
.textFieldStyle(.roundedBorder)
.font(.system(.body, design: .monospaced))
.frame(width: 260)
}
Text("Sets EXO_MODELS_READ_ONLY_DIRS. Never written to.")
.font(.caption)
.foregroundColor(.secondary)
}
Section("Custom Environment Variables") {
Text(
"Escape hatch for env vars that don't have typed fields above. "
+ "Values here override the typed fields on conflict."
)
.font(.caption)
.foregroundColor(.secondary)
if pendingCustomEnvironmentVariables.isEmpty {
Text("No custom variables.")
.font(.caption)
.foregroundColor(.secondary)
} else {
ForEach($pendingCustomEnvironmentVariables) { $variable in
HStack(alignment: .center, spacing: 8) {
VStack(spacing: 4) {
TextField("key", text: $variable.key)
.labelsHidden()
.textFieldStyle(.roundedBorder)
.font(.system(.body, design: .monospaced))
TextField("value", text: $variable.value)
.labelsHidden()
.textFieldStyle(.roundedBorder)
.font(.system(.body, design: .monospaced))
}
VStack(spacing: 4) {
Button {
pendingCustomEnvironmentVariables.removeAll {
$0.id == variable.id
}
} label: {
Image(systemName: "minus.circle")
}
.buttonStyle(.borderless)
.help("Remove variable")
if !isValidEnvironmentVariableName(variable.key) {
Image(systemName: "exclamationmark.triangle.fill")
.foregroundColor(.orange)
.help(
"Invalid environment variable name. "
+ "Must match [A-Za-z_][A-Za-z0-9_]*."
)
}
}
}
}
}
HStack {
Button {
pendingCustomEnvironmentVariables.append(
CustomEnvironmentVariable()
)
} label: {
Label("Add Variable", systemImage: "plus")
}
Spacer()
}
}
Section {
HStack {
Spacer()
Button("Save & Restart") {
applyEnvironmentSettings()
}
.disabled(!hasEnvironmentChanges)
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - About Tab
private var aboutTab: some View {
Form {
Section {
LabeledContent("Version") {
Text(buildTag)
.textSelection(.enabled)
}
LabeledContent("Commit") {
Text(buildCommit)
.font(.system(.body, design: .monospaced))
.textSelection(.enabled)
}
}
Section {
Button("Check for Updates") {
updater.checkForUpdates()
}
}
}
.formStyle(.grouped)
.padding()
}
// MARK: - Debug Info Views (moved from ContentView)
private var thunderboltStatusText: String {
switch networkStatusService.status.thunderboltBridgeState {
case .some(.disabled):
return "Disabled"
case .some(.deleted):
return "Deleted"
case .some(.enabled):
return "Enabled"
case nil:
return "Unknown"
}
}
private var thunderboltStatusColor: Color {
switch networkStatusService.status.thunderboltBridgeState {
case .some(.disabled), .some(.deleted):
return .green
case .some(.enabled):
return .red
case nil:
return .secondary
}
}
private var clusterThunderboltBridgeView: some View {
let bridgeStatuses = stateService.latestSnapshot?.nodeThunderboltBridge ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
return VStack(alignment: .leading, spacing: 1) {
if bridgeStatuses.isEmpty {
Text("Cluster TB Bridge: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster TB Bridge Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(bridgeStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = bridgeStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText =
!status.exists
? "N/A"
: (status.enabled ? "Enabled" : "Disabled")
let color: Color =
!status.exists
? .secondary
: (status.enabled ? .red : .green)
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
}
}
private var interfaceIpList: some View {
let statuses = networkStatusService.status.interfaceStatuses
return VStack(alignment: .leading, spacing: 1) {
Text("Interfaces (en0en7):")
.font(.caption2)
.foregroundColor(.secondary)
if statuses.isEmpty {
Text(" Unknown")
.font(.caption2)
.foregroundColor(.secondary)
} else {
ForEach(statuses, id: \.interfaceName) { status in
let ipText = status.ipAddress ?? "No IP"
Text(" \(status.interfaceName): \(ipText)")
.font(.caption2)
.foregroundColor(status.ipAddress == nil ? .red : .green)
}
}
}
}
private var rdmaStatusView: some View {
let rdmaStatuses = stateService.latestSnapshot?.nodeRdmaCtl ?? [:]
let localNodeId = stateService.localNodeId
let nodeProfiles = stateService.latestSnapshot?.nodeProfiles ?? [:]
let localDevices = networkStatusService.status.localRdmaDevices
let localPorts = networkStatusService.status.localRdmaActivePorts
return VStack(alignment: .leading, spacing: 1) {
if rdmaStatuses.isEmpty {
Text("Cluster RDMA: No data")
.font(.caption2)
.foregroundColor(.secondary)
} else {
Text("Cluster RDMA Status:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(Array(rdmaStatuses.keys.sorted()), id: \.self) { nodeId in
if let status = rdmaStatuses[nodeId] {
let nodeName =
nodeProfiles[nodeId]?.friendlyName ?? String(nodeId.prefix(8))
let isLocal = nodeId == localNodeId
let prefix = isLocal ? " \(nodeName) (local):" : " \(nodeName):"
let statusText = status.enabled ? "Enabled" : "Disabled"
let color: Color = status.enabled ? .green : .orange
Text("\(prefix) \(statusText)")
.font(.caption2)
.foregroundColor(color)
}
}
}
if !localDevices.isEmpty {
Text(" Local Devices: \(localDevices.joined(separator: ", "))")
.font(.caption2)
.foregroundColor(.secondary)
}
if !localPorts.isEmpty {
Text(" Local Active Ports:")
.font(.caption2)
.foregroundColor(.secondary)
ForEach(localPorts, id: \.device) { port in
Text(" \(port.device) port \(port.port): \(port.state)")
.font(.caption2)
.foregroundColor(.green)
}
}
}
}
// MARK: - Actions
private func showUninstallConfirmationAlert() {
let alert = NSAlert()
alert.messageText = "Uninstall EXO"
alert.informativeText = """
This will remove EXO and all its components:
• Network configuration daemon
• Launch at login registration
• EXO network location
• EXO data directory (~/.exo)
The app will be moved to Trash.
"""
alert.alertStyle = .warning
let checkbox = NSButton(
checkboxWithTitle: "Keep downloaded models (~/.exo/models)",
target: nil, action: nil)
checkbox.state = .off
checkbox.sizeToFit()
alert.accessoryView = checkbox
alert.addButton(withTitle: "Uninstall")
alert.addButton(withTitle: "Cancel")
if let uninstallButton = alert.buttons.first {
uninstallButton.hasDestructiveAction = true
}
let response = alert.runModal()
if response == .alertFirstButtonReturn {
performUninstall(keepModels: checkbox.state == .on)
}
}
private func performUninstall(keepModels: Bool) {
uninstallInProgress = true
controller.cancelPendingLaunch()
controller.stop()
stateService.stopPolling()
DispatchQueue.global(qos: .utility).async {
do {
try NetworkSetupHelper.uninstall()
try Self.removeExoDirectory(keepModels: keepModels)
DispatchQueue.main.async {
LaunchAtLoginHelper.disable()
self.moveAppToTrash()
DispatchQueue.main.asyncAfter(deadline: .now() + 0.5) {
NSApplication.shared.terminate(nil)
}
}
} catch {
DispatchQueue.main.async {
let errorAlert = NSAlert()
errorAlert.messageText = "Uninstall Failed"
errorAlert.informativeText = error.localizedDescription
errorAlert.alertStyle = .critical
errorAlert.addButton(withTitle: "OK")
errorAlert.runModal()
self.uninstallInProgress = false
}
}
}
}
private static func removeExoDirectory(keepModels: Bool) throws {
let fm = FileManager.default
let exoDir = ExoProcessController.exoDirectoryURL
guard fm.fileExists(atPath: exoDir.path) else { return }
if !keepModels {
try fm.removeItem(at: exoDir)
return
}
let contents = try fm.contentsOfDirectory(
at: exoDir, includingPropertiesForKeys: nil, options: [])
for entry in contents where entry.lastPathComponent != "models" {
try? fm.removeItem(at: entry)
}
}
private func moveAppToTrash() {
guard let appURL = Bundle.main.bundleURL as URL? else { return }
do {
try FileManager.default.trashItem(at: appURL, resultingItemURL: nil)
} catch {
// If we can't trash the app, that's OK - user can do it manually
}
}
// MARK: - Helpers
private var hasGeneralChanges: Bool {
pendingNamespace != controller.customNamespace || pendingHFToken != controller.hfToken
|| pendingHFEndpoint != controller.hfEndpoint
|| pendingOfflineMode != controller.offlineMode
}
private var hasModelChanges: Bool {
pendingEnableImageModels != controller.enableImageModels
}
private var hasAdvancedChanges: Bool {
pendingFastSynchEnabled != controller.fastSynchEnabled
}
private var hasEnvironmentChanges: Bool {
pendingDefaultModelsDir != controller.defaultModelsDir
|| pendingAdditionalModelsDirs != controller.additionalModelsDirs
|| pendingReadOnlyModelsDirs != controller.readOnlyModelsDirs
|| pendingCustomEnvironmentVariables != controller.customEnvironmentVariables
}
private func applyGeneralSettings() {
controller.customNamespace = pendingNamespace
controller.hfToken = pendingHFToken
controller.hfEndpoint = pendingHFEndpoint
controller.offlineMode = pendingOfflineMode
restartIfRunning()
}
private func applyModelSettings() {
controller.enableImageModels = pendingEnableImageModels
restartIfRunning()
}
private func applyAdvancedSettings() {
controller.fastSynchEnabled = pendingFastSynchEnabled
restartIfRunning()
}
private func applyEnvironmentSettings() {
controller.defaultModelsDir = pendingDefaultModelsDir.trimmingCharacters(
in: .whitespaces)
controller.additionalModelsDirs = pendingAdditionalModelsDirs.trimmingCharacters(
in: .whitespaces)
controller.readOnlyModelsDirs = pendingReadOnlyModelsDirs.trimmingCharacters(
in: .whitespaces)
pendingDefaultModelsDir = controller.defaultModelsDir
pendingAdditionalModelsDirs = controller.additionalModelsDirs
pendingReadOnlyModelsDirs = controller.readOnlyModelsDirs
// Trim whitespace from keys and drop empty ones so that the stored
// form matches what is actually injected into the child process and
// hasEnvironmentChanges doesn't show a stale diff after save.
let trimmed: [CustomEnvironmentVariable] =
pendingCustomEnvironmentVariables.compactMap { variable in
let key = variable.key.trimmingCharacters(in: .whitespaces)
guard !key.isEmpty else { return nil }
return CustomEnvironmentVariable(
id: variable.id, key: key, value: variable.value
)
}
// De-duplicate keys, keeping the last occurrence. This matches the
// effective semantics of the dictionary assignment in
// ExoProcessController.makeEnvironment and avoids silently losing
// visible rows after save.
var seenKeys = Set<String>()
var deduplicatedReversed: [CustomEnvironmentVariable] = []
for variable in trimmed.reversed() {
if seenKeys.insert(variable.key).inserted {
deduplicatedReversed.append(variable)
}
}
let sanitized = Array(deduplicatedReversed.reversed())
pendingCustomEnvironmentVariables = sanitized
controller.customEnvironmentVariables = sanitized
restartIfRunning()
}
/// Validates a POSIX-style environment variable name:
/// `[A-Za-z_][A-Za-z0-9_]*`. Uses an ASCII-only charset so that
/// Unicode letters (e.g. `ñ`, Cyrillic) are rejected in line with what
/// the help tooltip advertises. Empty strings are treated as valid
/// here so that a freshly added blank row does not immediately look
/// broken; the save step filters empty keys out instead.
private func isValidEnvironmentVariableName(_ key: String) -> Bool {
if key.isEmpty { return true }
let headAllowed = CharacterSet(
charactersIn: "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz_"
)
let tailAllowed = headAllowed.union(CharacterSet(charactersIn: "0123456789"))
guard let first = key.unicodeScalars.first, headAllowed.contains(first) else {
return false
}
for scalar in key.unicodeScalars.dropFirst() {
if !tailAllowed.contains(scalar) { return false }
}
return true
}
private func restartIfRunning() {
if controller.status == .running || controller.status == .starting {
controller.restart()
}
}
private var buildTag: String {
Bundle.main.infoDictionary?["EXOBuildTag"] as? String ?? "unknown"
}
private var buildCommit: String {
Bundle.main.infoDictionary?["EXOBuildCommit"] as? String ?? "unknown"
}
}
@@ -1,47 +0,0 @@
import AppKit
import SwiftUI
/// Manages a standalone native macOS Settings window.
/// Ensures only one instance exists and brings it to front on repeated opens.
@MainActor
final class SettingsWindowController: ObservableObject {
private var window: NSWindow?
func open(
controller: ExoProcessController,
updater: SparkleUpdater,
networkStatusService: NetworkStatusService,
thunderboltBridgeService: ThunderboltBridgeService,
stateService: ClusterStateService
) {
if let existing = window, existing.isVisible {
existing.makeKeyAndOrderFront(nil)
NSApp.activate(ignoringOtherApps: true)
return
}
let settingsView = SettingsView()
.environmentObject(controller)
.environmentObject(updater)
.environmentObject(networkStatusService)
.environmentObject(thunderboltBridgeService)
.environmentObject(stateService)
let hostingView = NSHostingView(rootView: settingsView)
let newWindow = NSWindow(
contentRect: NSRect(x: 0, y: 0, width: 640, height: 560),
styleMask: [.titled, .closable],
backing: .buffered,
defer: false
)
newWindow.title = "EXO Settings"
newWindow.contentView = hostingView
newWindow.center()
newWindow.isReleasedWhenClosed = false
newWindow.makeKeyAndOrderFront(nil)
NSApp.activate(ignoringOtherApps: true)
window = newWindow
}
}
+7 -63
View File
@@ -3,55 +3,25 @@
# EXO Uninstaller Script
#
# This script removes all EXO system components that persist after deleting the app.
# Run with: sudo ./uninstall-exo.sh [--keep-models]
#
# Options:
# --keep-models Preserve ~/.exo/models when removing the EXO data directory.
# Run with: sudo ./uninstall-exo.sh
#
# Components removed:
# - LaunchDaemon: /Library/LaunchDaemons/io.exo.networksetup.plist
# - Network script: /Library/Application Support/EXO/
# - Log files: /var/log/io.exo.networksetup.*
# - Network location: "exo"
# - EXO data directory: ~/.exo (or all of ~/.exo except models/ when --keep-models is set)
# - Launch at login registration
#
set -euo pipefail
KEEP_MODELS=0
for arg in "$@"; do
case "$arg" in
--keep-models)
KEEP_MODELS=1
;;
-h | --help)
echo "Usage: sudo ./uninstall-exo.sh [--keep-models]"
echo " --keep-models Preserve ~/.exo/models when removing the EXO data directory."
exit 0
;;
*)
echo "Unknown argument: $arg" >&2
echo "Usage: sudo ./uninstall-exo.sh [--keep-models]" >&2
exit 2
;;
esac
done
LABEL="io.exo.networksetup"
# Current script path. Older installs used a different filename; keep the
# legacy path here so a fresh uninstall still cleans up upgraded machines.
CURRENT_SCRIPT_DEST="/Library/Application Support/EXO/disable_bridge.sh"
LEGACY_SCRIPT_DEST="/Library/Application Support/EXO/disable_bridge_enable_dhcp.sh"
SCRIPT_DEST="/Library/Application Support/EXO/disable_bridge_enable_dhcp.sh"
PLIST_DEST="/Library/LaunchDaemons/io.exo.networksetup.plist"
LOG_OUT="/var/log/${LABEL}.log"
LOG_ERR="/var/log/${LABEL}.err.log"
APP_BUNDLE_ID="io.exo.EXO"
# Resolve the invoking user's home, even when run via sudo.
USER_HOME="$(eval echo "~${SUDO_USER:-$USER}")"
EXO_DIR="$USER_HOME/.exo"
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
@@ -99,17 +69,11 @@ else
echo_warn "LaunchDaemon plist not found (already removed?)"
fi
# Remove the script (current and legacy filenames) — backwards-compatible:
# tolerate either, both, or neither being present.
removed_any_script=0
for script in "$CURRENT_SCRIPT_DEST" "$LEGACY_SCRIPT_DEST"; do
if [[ -f $script ]]; then
rm -f "$script"
echo_info "Removed network setup script: $script"
removed_any_script=1
fi
done
if [[ $removed_any_script -eq 0 ]]; then
# Remove the script and parent directory
if [[ -f $SCRIPT_DEST ]]; then
rm -f "$SCRIPT_DEST"
echo_info "Removed network setup script"
else
echo_warn "Network setup script not found (already removed?)"
fi
@@ -151,22 +115,6 @@ if networksetup -listnetworkservices 2>/dev/null | grep -q "Thunderbolt Bridge";
echo_info "Re-enabled Thunderbolt Bridge"
fi
# Remove EXO data directory (~/.exo)
EXO_DIR_REMOVED=""
if [[ -d $EXO_DIR ]]; then
if [[ $KEEP_MODELS == "1" && -d "$EXO_DIR/models" ]]; then
find "$EXO_DIR" -mindepth 1 -maxdepth 1 ! -name models -exec rm -rf {} +
EXO_DIR_REMOVED="kept_models"
echo_info "Removed ~/.exo (preserved models/)"
else
rm -rf "$EXO_DIR"
EXO_DIR_REMOVED="full"
echo_info "Removed ~/.exo"
fi
else
echo_warn "~/.exo not found (already removed?)"
fi
# Note about launch at login registration
# SMAppService-based login items cannot be removed from a shell script.
# They can only be unregistered from within the app itself or manually via System Settings.
@@ -196,10 +144,6 @@ echo " • Network setup LaunchDaemon"
echo " • Network configuration script"
echo " • Log files"
echo " • 'exo' network location"
case "$EXO_DIR_REMOVED" in
full) echo " • EXO data directory (~/.exo)" ;;
kept_models) echo " • EXO data directory (~/.exo, models preserved)" ;;
esac
echo ""
echo "Your network has been restored to use the 'Automatic' location."
echo "Thunderbolt Bridge has been re-enabled (if present)."
-160
View File
@@ -1,160 +0,0 @@
# Exo-Bench — Methodology
exo bench measures inference throughput and resource consumption of an exo cluster under controlled conditions. It sends prompts to the `/bench/chat/completions` endpoint, collects server-reported timing statistics, and records system-level metrics (power, GPU utilisation, temperature) throughout each run.
The goal is to have accurate, transparent and reproducible numbers to compare speed and scaling across different models and different setups, and to be able to track these results as optimizations and features are added to EXO.
Below is a technical summary of how Exo-Bench works. While the methodology and benchmark may change over time, this document will be kept up to date whenever this happens. If you find an issue with the methodology, or would like a feature to be added, please open a GitHub issue!
---
## Prompt Construction
Benchmarks need prompts of an exact token length. Unfortunately, we do not have direct access to the model but just the chat completion endpoint. To get around this fact, we create a request that will tokenise to a certain prompt length.
This is achieved by:
1. Tokenising a sample message through the model's `apply_chat_template()` to measure overhead (system tokens, special tokens, chat formatting).
2. Binary-searching over a repeated atom string (default `"a "`) to find the content length that produces exactly the target number of tokens after template expansion.
3. Returning both the content string and the verified token count.
The actual token count is recorded in every result row as `pp_tokens`, so downstream analysis can confirm the prompt hit its target.
Chat template formatting means that it may be impossible to attain very small pp benchmarks. e.g. pp=32 may not work. This tradeoff was made because the result of such a small prompt does not seem very interesting or useful for any real-world use cases.
---
## Bench Endpoint
When a request reaches the server via the `/bench/chat/completions` endpoint, three things change compared to a normal chat completion:
- **KV prefix cache is disabled by default**. Every request starts from a cold cache, ensuring prefill timing is not affected by prior requests. See [Prefix Cache Mode](#prefix-cache-mode) for the `--use-prefix-cache` option.
- **EOS tokens are banned**. A logits processor suppresses all end-of-sequence tokens, forcing the model to generate exactly `max_tokens` tokens. This guarantees consistent generation length for fair TPS comparison — the model cannot short-circuit a run by stopping early.
- **No model output parsing**. The bench collection path concatenates raw token text without any model-specific post-processing (thinking tag extraction, structured output handling, etc.). This is to avoid model outputs such as tool parsing or any structural mistakes from breaking the benchmark - we are testing for speed; see Exo-Eval for performance metrics.
---
## Timing
### Prefill TPS
Measured server-side per task.
```
prefill_tps = num_prompt_tokens / prefill_wall_seconds
```
### Generation TPS
Measured server-side per task. Each task records wall-clock timestamps as tokens arrive:
- First generated token: timestamp recorded
- Every subsequent token: timestamp updated
When generation completes:
```
gen_span = last_token_time - first_token_time
generation_tps = (completion_tokens - 1) / gen_span
```
The first token is excluded from the numerator because the rate measures inter-token throughput — the time between the first and last token divided by the number of intervals.
This does mean that tg=1 will not work.
---
## Concurrency
### Single Request
The client records wall-clock `elapsed_s` around the HTTP round-trip (network latency + server prefill + generation + response serialisation). This is a convenience metric for end-to-end latency. The authoritative TPS numbers come from the server-side per-task timing in the `generation_stats` response.
### Concurrent Requests
When `--concurrency N` is set with N > 1, all N requests must hit the server at the same instant. The mechanism:
1. The prompt is built once and shared across all threads.
2. Each thread gets its own HTTP connection.
3. A thread barrier blocks all threads until every thread is ready.
4. The first thread past the barrier records the batch start time and signals the others.
5. All threads use the same start time as their reference, then fire their HTTP request.
6. Each thread's `elapsed_s` is measured from the shared start time to its own response completion.
**Batch wall time** is the maximum `elapsed_s` across all N requests — the time until the last request finishes.
### Aggregate TPS
```
per_req_tps = max(generation_tps across N concurrent requests)
agg_gen_tps = per_req_tps * concurrency
```
`max` is used instead of `mean` because all requests run in parallel against the same model. The fastest request's generation rate represents the system's per-stream throughput capacity; multiplying by concurrency gives aggregate throughput.
---
## Prefix Cache Mode
When `--use-prefix-cache` is passed, the KV prefix cache remains active during benchmarking. This speeds up repeated runs by skipping redundant prefill work, which is useful when prompt processing is not the focus of the benchmark (e.g. when measuring generation throughput or power consumption across many configurations).
Each response includes a `prefix_cache_hit` field (`"none"`, `"partial"`, or `"exact"`):
- **none**: Cold prefill — no cached KV state was available. The reported `prompt_tps` is the real prefill throughput.
- **partial**: A prefix of the prompt was found in cache. Only the remaining tokens were prefilled. The reported `prompt_tps` reflects the real throughput on the uncached portion. This occurs when multiple ascending `--pp` values share a common prefix (e.g. `--pp 1000,5000` — the 5000-token prompt reuses the 1000-token cache entry and prefills the remaining 4000 tokens).
- **exact**: The entire prompt was found in cache (e.g. same `--pp` value on a `--repeat`). No prefill work was done. The reported `prompt_tps` is the TPS from when the cache entry was originally created, not a new measurement.
**Prompt TPS is approximate in this mode.** Exact-hit runs report the stored TPS from the original cold/partial prefill rather than a freshly measured value. For accurate cold prefill numbers, run without `--use-prefix-cache`.
Ascending `--pp` order (e.g. `--pp 1000,5000,10000`) gives the most useful data: each size gets a meaningful partial hit except the first which is cold. Descending order produces exact hits with approximate TPS from a longer prompt's original run.
---
## Warmup
Before measurement begins, `--warmup N` (default: 0) discarded requests are sent using the first pp/tg pair. Warmup results are not included in the output.
---
## System Metrics
A background thread polls each node at 1 Hz, collecting:
- GPU utilisation (%)
- Temperature (C)
- System power draw (W)
- CPU cluster usage (performance and efficiency cores)
**Energy** is computed via trapezoidal integration of the power samples over each inference window (the wall-clock span of each benchmark request or concurrent batch). Average power is `total_joules / total_inference_seconds`.
---
## Output Format
Results are written as JSON with three top-level keys:
- **`runs`**: Array of per-request result objects, each containing:
- `elapsed_s`, `output_text_preview` (first 200 chars)
- `stats`: `{ prompt_tps, generation_tps, prompt_tokens, generation_tokens, peak_memory_usage }`
- Placement metadata: `model_id`, `placement_sharding`, `placement_instance_meta`, `placement_nodes`
- Run metadata: `pp_tokens`, `tg`, `repeat_index`, `concurrency`, `concurrent_index`
- `download_duration_s` (if model was freshly downloaded)
- **`cluster`**: Cluster state snapshot at time of benchmarking.
- **`system_metrics`**: Per-node time-series samples (GPU, power, temperature).
---
## Reproducing Results
```bash
cd bench && uv run python exo_bench.py \
--model "mlx-community/Qwen3.5-27B-4bit" \
--instance-meta jaccl \
--sharding tensor \
--min-nodes 2 --max-nodes 2 \
--pp 512 4096 --tg 128 \
--repeat 3 \
--warmup 1
```
Run --help for all the available flags.
+3 -1
View File
@@ -2,4 +2,6 @@
#
# Lists the suite files to include. Each file defines benchmarks
# with shared constraints, topology, and default args.
include = ["single-m3-ultra.toml"]
include = [
"single-m3-ultra.toml",
]
-347
View File
@@ -1,347 +0,0 @@
# Model evaluation configurations for exo_eval.
#
# Each [[model]] entry uses `patterns` — a list of substrings matched
# against the model_id. First matching entry wins.
#
# Required fields:
# name, patterns, reasoning
#
# Optional per-model overrides (CLI flags take priority over these):
# temperature, top_p, max_tokens, reasoning_effort, enable_thinking
#
# Fallback defaults (when no per-model config):
# reasoning: temperature=1.0, max_tokens=131072, reasoning_effort="high"
# non-reasoning: temperature=0.0, max_tokens=16384
#
# All per-model values below are sourced from official model cards,
# generation_config.json files, and vendor documentation.
# ─── Qwen3.5 (Feb 2026) ─────────────────────────────────────────────
# Source: HuggingFace model cards (Qwen/Qwen3.5-*)
# Model card recommends: temp=0.6, top_p=0.95, top_k=20
# We omit top_k to match vllm eval (which doesn't set it).
# max_tokens=121072 to match vllm eval (131072 context - 10000 safety margin).
[[model]]
name = "Qwen3.5 2B"
patterns = ["Qwen3.5-2B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Qwen3.5 9B"
patterns = ["Qwen3.5-9B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Qwen3.5 27B"
patterns = ["Qwen3.5-27B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Qwen3.5 35B A3B"
patterns = ["Qwen3.5-35B-A3B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Qwen3.5 122B A10B"
patterns = ["Qwen3.5-122B-A10B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Qwen3.5 397B A17B"
patterns = ["Qwen3.5-397B-A17B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 121072
# ─── Qwen3 (Apr 2025) ───────────────────────────────────────────────
# Source: HuggingFace model cards (Qwen/Qwen3-*)
# Model card recommends: temp=0.6, top_p=0.95, top_k=20
# We omit top_k to match vllm eval (which doesn't set it).
# Non-thinking: temp=0.7, top_p=0.8
# max_tokens: 32768 general, 38912 for complex math/code
[[model]]
name = "Qwen3 0.6B"
patterns = ["Qwen3-0.6B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 38912
[[model]]
name = "Qwen3 30B A3B"
patterns = ["Qwen3-30B-A3B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 38912
[[model]]
name = "Qwen3 235B A22B"
patterns = ["Qwen3-235B-A22B"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 38912
[[model]]
name = "Qwen3 Next 80B Thinking"
patterns = ["Qwen3-Next-80B-A3B-Thinking"]
reasoning = true
temperature = 0.6
top_p = 0.95
enable_thinking = true
max_tokens = 38912
[[model]]
name = "Qwen3 Next 80B Instruct"
patterns = ["Qwen3-Next-80B-A3B-Instruct"]
reasoning = false
temperature = 0.7
top_p = 0.8
max_tokens = 16384
[[model]]
name = "Qwen3 Coder 480B"
patterns = ["Qwen3-Coder-480B"]
reasoning = false
temperature = 0.7
top_p = 0.8
max_tokens = 16384
[[model]]
name = "Qwen3 Coder Next"
patterns = ["Qwen3-Coder-Next"]
reasoning = false
temperature = 1.0
top_p = 0.95
max_tokens = 121072
# ─── GPT-OSS (OpenAI) ───────────────────────────────────────────────
# Source: OpenAI GitHub README + HuggingFace discussion #21
# temp=1.0, top_p=1.0, NO top_k, NO repetition_penalty
# reasoning_effort supported: low/medium/high
[[model]]
name = "GPT-OSS 20B"
patterns = ["gpt-oss-20b"]
reasoning = true
temperature = 1.0
top_p = 1.0
[[model]]
name = "GPT-OSS 120B"
patterns = ["gpt-oss-120b"]
reasoning = true
temperature = 1.0
top_p = 1.0
# ─── DeepSeek ────────────────────────────────────────────────────────
# Source: https://api-docs.deepseek.com/quick_start/parameter_settings
# Coding/Math: temp=0.0, General: temp=1.3, Creative: temp=1.5
# NOTE: DeepSeek API applies nonlinear temp mapping. These are API values.
# When running model directly: API temp 1.0 = model temp 0.3
# We use temp=0.0 for eval (coding/math focus).
[[model]]
name = "DeepSeek V3.1"
patterns = ["DeepSeek-V3.1"]
reasoning = true
temperature = 0.0
[[model]]
name = "DeepSeek V3.2"
patterns = ["DeepSeek-V3.2"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
# ─── NVIDIA Nemotron ───────────────────────────────────────────────────
# Source: HuggingFace model cards
# All variants: temp=1.0, top_p=0.95, enable_thinking=true
[[model]]
name = "Nemotron Cascade 2 30B A3B"
patterns = ["Nemotron-Cascade-2-30B-A3B"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
[[model]]
name = "Nemotron 3 Super 120B A12B"
patterns = ["Nemotron-3-Super-120B-A12B", "NVIDIA-Nemotron-3-Super-120B-A12B"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
# ─── GLM (ZhipuAI / THUDM) ──────────────────────────────────────────
# Source: HuggingFace model cards + generation_config.json + docs.z.ai
# GLM 4.5+: temp=1.0, top_p=0.95
# max_tokens=121072 to match vllm eval (131072 context - 10000 safety margin)
[[model]]
name = "GLM-5"
patterns = ["GLM-5"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "GLM 4.5 Air"
patterns = ["GLM-4.5-Air"]
reasoning = true
temperature = 1.0
top_p = 0.95
[[model]]
name = "GLM 4.7"
patterns = ["GLM-4.7-"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 121072
# Note: matches both GLM-4.7 and GLM-4.7-Flash
# ─── Kimi (Moonshot AI) ─────────────────────────────────────────────
# Source: HuggingFace model cards (moonshotai/Kimi-K2-*)
# K2-Instruct: temp=0.6
# K2-Thinking: temp=1.0, max_length=262144
# K2.5: thinking temp=1.0, top_p=0.95; instant temp=0.6, top_p=0.95
[[model]]
name = "Kimi K2 Thinking"
patterns = ["Kimi-K2-Thinking"]
reasoning = true
temperature = 1.0
max_tokens = 131072
[[model]]
name = "Kimi K2.5"
patterns = ["Kimi-K2.5"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 121072
[[model]]
name = "Kimi K2 Instruct"
patterns = ["Kimi-K2-Instruct"]
reasoning = false
temperature = 0.6
# ─── MiniMax ─────────────────────────────────────────────────────────
# Source: HuggingFace model cards + generation_config.json
# All models: temp=1.0, top_p=0.95
# max_tokens=90000 to match vllm eval (100000 context - 10000 safety margin)
[[model]]
name = "MiniMax M2.7"
patterns = ["MiniMax-M2.7"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 90000
[[model]]
name = "MiniMax M2.5"
patterns = ["MiniMax-M2.5"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 90000
[[model]]
name = "MiniMax M2.1"
patterns = ["MiniMax-M2.1"]
reasoning = true
temperature = 1.0
top_p = 0.95
# ─── Step (StepFun) ─────────────────────────────────────────────────
# Source: HuggingFace model card (stepfun-ai/Step-3.5-Flash)
# Reasoning: temp=1.0, top_p=0.95
# General chat: temp=0.6, top_p=0.95
# We use reasoning settings for eval.
[[model]]
name = "Step 3.5 Flash"
patterns = ["Step-3.5-Flash"]
reasoning = true
temperature = 1.0
top_p = 0.95
enable_thinking = true
max_tokens = 121072
# ─── Llama (Meta) ───────────────────────────────────────────────────
# Source: generation_config.json + meta-llama/llama-models generation.py
# All variants: temp=0.6, top_p=0.9
[[model]]
name = "Llama 3.2 1B"
patterns = ["Llama-3.2-1B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.2 3B"
patterns = ["Llama-3.2-3B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.1 8B"
patterns = ["Llama-3.1-8B", "Meta-Llama-3.1-8B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.1 70B"
patterns = ["Llama-3.1-70B", "Meta-Llama-3.1-70B"]
reasoning = false
temperature = 0.6
top_p = 0.9
[[model]]
name = "Llama 3.3 70B"
patterns = ["Llama-3.3-70B", "llama-3.3-70b"]
reasoning = false
temperature = 0.6
top_p = 0.9
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@@ -1,625 +0,0 @@
# type: ignore
from __future__ import annotations
import argparse
import http.client
import json
import os
import time
from collections.abc import Iterator
from typing import Any
from urllib.parse import urlencode
from loguru import logger
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
class ExoHttpError(RuntimeError):
def __init__(self, status: int, reason: str, body_preview: str):
super().__init__(f"HTTP {status} {reason}: {body_preview}")
self.status = status
class ExoClient:
def __init__(self, host: str, port: int, timeout_s: float = 7200.0):
self.host = host
self.port = port
self.timeout_s = timeout_s
def request_json(
self,
method: str,
path: str,
params: dict[str, Any] | None = None,
body: dict[str, Any] | None = None,
headers: dict[str, str] | None = None,
) -> Any:
if not path.startswith("/"):
path = "/" + path
if params:
path = path + "?" + urlencode(params)
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
payload: bytes | None = None
hdrs: dict[str, str] = {"Accept": "application/json"}
if body is not None:
payload = json.dumps(body).encode("utf-8")
hdrs["Content-Type"] = "application/json"
if headers:
hdrs.update(headers)
conn.request(method.upper(), path, body=payload, headers=hdrs)
resp = conn.getresponse()
raw = resp.read()
text = raw.decode("utf-8", errors="replace") if raw else ""
if resp.status >= 400:
raise ExoHttpError(resp.status, resp.reason, text[:300])
if not text:
return None
return json.loads(text)
finally:
conn.close()
def post_bench_chat_completions(self, payload: dict[str, Any]) -> dict[str, Any]:
return self.request_json("POST", "/bench/chat/completions", body=payload)
def stream_bench_chat_completions(self, payload: dict[str, Any]) -> Iterator[str]:
"""POST /bench/chat/completions with stream=True, yielding raw SSE lines."""
payload = {**payload, "stream": True}
data = json.dumps(payload).encode("utf-8")
conn = http.client.HTTPConnection(self.host, self.port, timeout=self.timeout_s)
try:
conn.request(
"POST",
"/bench/chat/completions",
body=data,
headers={
"Content-Type": "application/json",
"Accept": "text/event-stream",
},
)
resp = conn.getresponse()
if resp.status >= 400:
raw = resp.read().decode("utf-8", errors="replace")
raise ExoHttpError(resp.status, resp.reason, raw[:300])
for line in resp:
yield line.decode("utf-8", errors="replace")
finally:
conn.close()
def get_state_path(self, path: str) -> Any:
try:
return self.request_json("GET", f"/state/{path}")
except ExoHttpError as e:
if e.status == 404:
return None
raise
def get_instance(self, instance_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"instances/{instance_id}")
def get_runner(self, runner_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"runners/{runner_id}")
def get_node_downloads(self, node_id: str) -> list[dict[str, Any]] | None:
return self.get_state_path(f"downloads/{node_id}")
def get_node_disk(self, node_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"nodeDisk/{node_id}")
def get_node_system(self, node_id: str) -> dict[str, Any] | None:
return self.get_state_path(f"nodeSystem/{node_id}")
def get_node_identities(self) -> dict[str, Any] | None:
return self.get_state_path("nodeIdentities")
def get_topology(self) -> dict[str, Any] | None:
return self.get_state_path("topology")
def unwrap_instance(instance: dict[str, Any]) -> dict[str, Any]:
if len(instance) != 1:
raise KeyError(f"Expected 1 key, got keys={list(instance.keys())}")
tag = next(iter(instance))
inner = instance[tag]
if not isinstance(inner, dict):
raise TypeError(f"payload for {tag} must be dict, got {type(inner)}")
return inner
def instance_id_from_instance(instance: dict[str, Any]) -> str:
inner = unwrap_instance(instance)
return str(inner["instanceId"])
def nodes_used_in_instance(instance: dict[str, Any]) -> int:
inner = unwrap_instance(instance)
return len(inner["shardAssignments"]["nodeToRunner"])
def runner_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
return list(runner_to_shard.keys())
def node_ids_from_instance(instance: dict[str, Any]) -> list[str]:
inner = unwrap_instance(instance)
return list(inner["shardAssignments"]["nodeToRunner"].keys())
def runner_ready(runner: dict[str, Any]) -> bool:
return "RunnerReady" in runner
def runner_failed(runner: dict[str, Any]) -> bool:
return "RunnerFailed" in runner
def get_runner_failed_message(runner: dict[str, Any]) -> str | None:
if "RunnerFailed" in runner:
return runner["RunnerFailed"].get("errorMessage")
return None
def wait_for_instance_ready(
client: ExoClient, instance_id: str, timeout: float = 24000.0
) -> None:
start_time = time.time()
instance_existed = False
last_loaded: dict[str, int] = {}
while time.time() - start_time < timeout:
instance = client.get_instance(instance_id)
if instance is None:
if instance_existed:
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
rids = runner_ids_from_instance(instance)
all_ready = True
for rid in rids:
runner = client.get_runner(rid) or {}
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if "RunnerLoading" in runner:
loading = runner["RunnerLoading"]
loaded = loading.get("layersLoaded", 0)
total = loading.get("totalLayers", 0)
if total > 0 and last_loaded.get(rid) != loaded:
last_loaded[rid] = loaded
logger.debug(f"Runner {rid}: loading layers {loaded}/{total}")
if not runner_ready(runner):
all_ready = False
if all_ready:
return
time.sleep(0.1)
raise TimeoutError(f"Instance {instance_id} did not become ready within {timeout=}")
def wait_for_instance_gone(
client: ExoClient, instance_id: str, timeout: float = 3.0
) -> None:
start_time = time.time()
while time.time() - start_time < timeout:
try:
client.request_json("GET", f"/instance/{instance_id}")
time.sleep(0.4)
except ExoHttpError as e:
if e.status == 404:
return
raise
raise TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def capture_cluster_snapshot(client: ExoClient) -> dict[str, Any]:
snapshot: dict[str, Any] = {}
identities = client.get_node_identities()
if identities:
snapshot["nodeIdentities"] = identities
topology = client.get_topology()
if topology:
snapshot["topology"] = topology
node_memory = client.get_state_path("nodeMemory")
if node_memory:
snapshot["nodeMemory"] = node_memory
node_system = client.get_state_path("nodeSystem")
if node_system:
snapshot["nodeSystem"] = node_system
return snapshot
def resolve_model_short_id(
client: ExoClient, model_arg: str, *, force_download: bool = False
) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if (m.get("name") or "").lower() == model_arg.lower():
short_id = str(m["name"])
full_id = str(m.get("hugging_face_id") or m["name"])
return short_id, full_id
for m in data:
if m.get("hugging_face_id") == model_arg:
short_id = str(m["name"])
full_id = str(m["hugging_face_id"])
return short_id, full_id
if force_download and "/" in model_arg:
logger.info(f"Model not in /models, adding from HuggingFace: {model_arg}")
result = client.request_json(
"POST", "/models/add", body={"model_id": model_arg}
)
if result:
short_id = str(result.get("name") or model_arg.rsplit("/", 1)[-1])
full_id = str(result.get("hugging_face_id") or model_arg)
return short_id, full_id
raise ValueError(f"Model not found in /models: {model_arg}")
def placement_filter(instance_meta: str, wanted: str) -> bool:
s = (instance_meta or "").lower()
if wanted == "both":
return ("ring" in s) or ("jaccl" in s)
return wanted in s
def sharding_filter(sharding: str, wanted: str) -> bool:
s = (sharding or "").lower()
if wanted == "both":
return ("pipeline" in s) or ("tensor" in s)
return wanted in s
def fetch_and_filter_placements(
client: ExoClient,
full_model_id: str,
args: argparse.Namespace,
node_id: str | None = None,
) -> list[dict[str, Any]]:
params: dict[str, str] = {"model_id": full_model_id}
if node_id is not None:
params["node_ids"] = node_id
previews_resp = client.request_json("GET", "/instance/previews", params=params)
previews = previews_resp.get("previews") or []
selected: list[dict[str, Any]] = []
for p in previews:
if p.get("error") is not None:
continue
if not placement_filter(str(p.get("instance_meta", "")), args.instance_meta):
continue
if not sharding_filter(str(p.get("sharding", "")), args.sharding):
continue
instance = p.get("instance")
if not isinstance(instance, dict):
continue
n = nodes_used_in_instance(instance)
# Skip tensor ring single node as it is pointless when pipeline ring
if n == 1 and (
(args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
or (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
):
continue
if (
args.skip_pipeline_jaccl
and (
args.instance_meta == "both"
and "jaccl" in p.get("instance_meta", "").lower()
)
and (
args.sharding == "both" and "pipeline" in p.get("sharding", "").lower()
)
):
continue
if (
args.skip_tensor_ring
and (
args.instance_meta == "both"
and "ring" in p.get("instance_meta", "").lower()
)
and (args.sharding == "both" and "tensor" in p.get("sharding", "").lower())
):
continue
if args.min_nodes <= n <= args.max_nodes:
selected.append(p)
return selected
def settle_and_fetch_placements(
client: ExoClient,
full_model_id: str,
args: argparse.Namespace,
settle_timeout: float = 0,
node_id: str | None = None,
) -> list[dict[str, Any]]:
selected = fetch_and_filter_placements(client, full_model_id, args, node_id=node_id)
if not selected and settle_timeout > 0:
backoff = _SETTLE_INITIAL_BACKOFF_S
deadline = time.monotonic() + settle_timeout
while not selected and time.monotonic() < deadline:
remaining = deadline - time.monotonic()
logger.warning(
f"No valid placements yet (cluster may still be settling). "
f"Retrying in {backoff:.1f}s ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
selected = fetch_and_filter_placements(
client, full_model_id, args, node_id=node_id
)
return selected
def run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> float | None:
"""Check disk space and ensure model is downloaded before benchmarking.
Returns the wall-clock download duration in seconds if a fresh download
was needed, or None if the model was already cached on all nodes.
"""
# Get model size from /models
models = client.request_json("GET", "/models") or {}
model_bytes = 0
for m in models.get("data", []):
if m.get("hugging_face_id") == full_model_id:
model_bytes = m.get("storage_size_megabytes", 0) * 1024 * 1024
break
if not model_bytes:
logger.warning(
f"Could not determine size for {full_model_id}, skipping disk check"
)
return None
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
needs_download = False
for node_id in node_ids:
node_downloads = client.get_node_downloads(node_id) or []
already_downloaded = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
for p in node_downloads
)
if already_downloaded:
continue
needs_download = True
disk_info = client.get_node_disk(node_id) or {}
backoff = _SETTLE_INITIAL_BACKOFF_S
while not disk_info and settle_deadline and time.monotonic() < settle_deadline:
remaining = settle_deadline - time.monotonic()
logger.info(
f"Waiting for disk info on {node_id} ({remaining:.0f}s remaining)..."
)
time.sleep(min(backoff, remaining))
backoff = min(backoff * _SETTLE_BACKOFF_MULTIPLIER, _SETTLE_MAX_BACKOFF_S)
disk_info = client.get_node_disk(node_id) or {}
if not disk_info:
logger.warning(f"No disk info for {node_id}, skipping space check")
continue
avail = disk_info.get("available", {}).get("inBytes", 0)
if avail >= model_bytes:
continue
if not danger_delete:
raise RuntimeError(
f"Insufficient disk on {node_id}: need {model_bytes // (1024**3)}GB, "
f"have {avail // (1024**3)}GB. Use --danger-delete-downloads to free space."
)
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["total"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
and not p["DownloadCompleted"].get("readOnly", False)
]
for del_model, size in sorted(completed, key=lambda x: x[1]):
logger.info(f"Deleting {del_model} from {node_id} ({size // (1024**2)}MB)")
client.request_json("DELETE", f"/download/{node_id}/{del_model}")
avail += size
if avail >= model_bytes:
break
if avail < model_bytes:
raise RuntimeError(f"Could not free enough space on {node_id}")
# Start downloads (idempotent)
download_t0 = time.perf_counter() if needs_download else None
for node_id in node_ids:
runner_id = inner["shardAssignments"]["nodeToRunner"][node_id]
shard = runner_to_shard[runner_id]
client.request_json(
"POST",
"/download/start",
body={
"targetNodeId": node_id,
"shardMetadata": shard,
},
)
logger.info(f"Started download on {node_id}")
# Wait for downloads (no timeout — poll until complete or failed)
while True:
all_done = True
for node_id in node_ids:
node_downloads = client.get_node_downloads(node_id) or []
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in node_downloads
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in node_downloads
if "DownloadFailed" in p
and unwrap_instance(p["DownloadFailed"]["shardMetadata"])["modelCard"][
"modelId"
]
== full_model_id
]
if failed:
raise RuntimeError(f"Download failed on {node_id}: {failed[0]}")
if not done:
all_done = False
ongoing = [
p
for p in node_downloads
if "DownloadOngoing" in p
and unwrap_instance(p["DownloadOngoing"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
]
if ongoing:
prog = ongoing[0]["DownloadOngoing"]["downloadProgress"]
speed_mb = prog.get("speed", 0) / (1024 * 1024)
eta_s = prog.get("etaMs", 0) / 1000
dl_bytes = prog.get("downloaded", {}).get("inBytes", 0)
total_bytes = prog.get("total", {}).get("inBytes", 0)
pct = (dl_bytes / total_bytes * 100) if total_bytes else 0
logger.info(
f"Downloading on {node_id}: {pct:.1f}% @ {speed_mb:.1f} MB/s, "
f"ETA {eta_s:.0f}s "
f"({prog.get('completedFiles', 0)}/{prog.get('totalFiles', 0)} files)"
)
if all_done:
if download_t0 is not None:
return time.perf_counter() - download_t0
return None
time.sleep(10)
def find_existing_instance(client: ExoClient, model_id: str) -> str | None:
"""Find an existing running instance for the given model."""
try:
state = client.request_json("GET", "/state")
except Exception:
return None
for inst_id, inst in state.get("instances", {}).items():
# Instance structure is nested: {"MlxJacclInstance": {"shardAssignments": {"modelId": ...}}}
for _inst_type, inner in inst.items():
if not isinstance(inner, dict):
continue
sa = inner.get("shardAssignments", {})
if sa.get("modelId") == model_id:
return inst_id
return None
def add_common_instance_args(ap: argparse.ArgumentParser) -> None:
ap.add_argument("--host", default=os.environ.get("EXO_HOST", "localhost"))
ap.add_argument(
"--port", type=int, default=int(os.environ.get("EXO_PORT", "52415"))
)
ap.add_argument("--model", required=True, help="Model short id or huggingface id")
ap.add_argument(
"--force-download",
action="store_true",
help="If model not in /models, add it from HuggingFace via exo and download.",
)
ap.add_argument(
"--max-nodes",
type=int,
default=4,
help="Only consider placements using <= this many nodes.",
)
ap.add_argument(
"--min-nodes",
type=int,
default=1,
help="Only consider placements using >= this many nodes.",
)
ap.add_argument(
"--instance-meta", choices=["ring", "jaccl", "both"], default="both"
)
ap.add_argument(
"--sharding", choices=["pipeline", "tensor", "both"], default="both"
)
ap.add_argument(
"--skip-pipeline-jaccl",
action="store_true",
help="Skip pipeline+jaccl placements, as it's often pointless.",
)
ap.add_argument(
"--skip-tensor-ring",
action="store_true",
help="Skip tensor+ring placements, as it's so slow.",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--settle-timeout",
type=float,
default=60.0,
help="Max seconds to wait for the cluster to produce valid placements (0 = try once).",
)
ap.add_argument(
"--danger-delete-downloads",
action="store_true",
help="Delete existing models from smallest to largest to make room for benchmark model.",
)
ap.add_argument(
"--reuse-instance",
action="store_true",
help="Reuse an existing running instance for this model instead of creating a new one.",
)
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