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Author SHA1 Message Date
Evan 45a9f32fc7 woahg 2026-02-17 11:44:23 +00:00
151 changed files with 2866 additions and 11018 deletions
+1 -1
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@@ -200,7 +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.
+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
@@ -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: ...
Generated
-43
View File
@@ -673,17 +673,6 @@ dependencies = [
"syn 2.0.111",
]
[[package]]
name = "delegate"
version = "0.13.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "780eb241654bf097afb00fc5f054a09b687dad862e485fdcf8399bb056565370"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
name = "der"
version = "0.7.10"
@@ -887,31 +876,16 @@ dependencies = [
name = "exo_pyo3_bindings"
version = "0.0.1"
dependencies = [
"delegate",
"env_logger",
"extend",
"futures-lite",
"libp2p",
"log",
"networking",
"pin-project",
"pyo3",
"pyo3-async-runtimes",
"pyo3-log",
"pyo3-stub-gen",
"tokio",
"util",
]
[[package]]
name = "extend"
version = "1.2.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "311a6d2f1f9d60bff73d2c78a0af97ed27f79672f15c238192a5bbb64db56d00"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.111",
]
[[package]]
@@ -1747,12 +1721,6 @@ dependencies = [
"cpufeatures",
]
[[package]]
name = "keccak-const"
version = "0.2.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "57d8d8ce877200136358e0bbff3a77965875db3af755a11e1fa6b1b3e2df13ea"
[[package]]
name = "lalrpop-util"
version = "0.20.2"
@@ -2759,17 +2727,10 @@ dependencies = [
name = "networking"
version = "0.0.1"
dependencies = [
"delegate",
"either",
"extend",
"futures-lite",
"futures-timer",
"keccak-const",
"libp2p",
"log",
"tokio",
"tracing-subscriber",
"util",
]
[[package]]
@@ -4599,10 +4560,6 @@ version = "0.2.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
[[package]]
name = "util"
version = "0.0.1"
[[package]]
name = "uuid"
version = "1.19.0"
+1 -78
View File
@@ -3,7 +3,6 @@ resolver = "3"
members = [
"rust/networking",
"rust/exo_pyo3_bindings",
"rust/util",
]
[workspace.package]
@@ -24,33 +23,18 @@ opt-level = 3
[workspace.dependencies]
## Crate members as common dependencies
networking = { path = "rust/networking" }
util = { path = "rust/util" }
# Macro dependecies
extend = "1.2"
delegate = "0.13"
# Utility dependencies
keccak-const = "0.2"
# Async dependencies
tokio = "1.46"
futures-lite = "2.6.1"
futures-timer = "3.0"
# Data structures
either = "1.15"
# Tracing/logging
log = "0.4"
# networking
libp2p = "0.56"
libp2p-tcp = "0.44"
[workspace.lints.rust]
static_mut_refs = "warn" # Or use "warn" instead of deny
incomplete_features = "allow"
static_mut_refs = "warn"
# Clippy's lint category level configurations;
# every member crate needs to inherit these by adding
@@ -71,64 +55,3 @@ perf = { level = "warn", priority = -1 }
pedantic = { level = "warn", priority = -1 }
nursery = { level = "warn", priority = -1 }
cargo = { level = "warn", priority = -1 }
# Individual Clippy lints from the `restriction` category
arithmetic_side_effects = "warn"
as_conversions = "warn"
assertions_on_result_states = "warn"
clone_on_ref_ptr = "warn"
decimal_literal_representation = "warn"
default_union_representation = "warn"
deref_by_slicing = "warn"
disallowed_script_idents = "deny"
else_if_without_else = "warn"
empty_enum_variants_with_brackets = "warn"
empty_structs_with_brackets = "warn"
error_impl_error = "warn"
exit = "deny"
expect_used = "warn"
float_cmp_const = "warn"
get_unwrap = "warn"
if_then_some_else_none = "warn"
impl_trait_in_params = "warn"
indexing_slicing = "warn"
infinite_loop = "warn"
let_underscore_must_use = "warn"
let_underscore_untyped = "warn"
lossy_float_literal = "warn"
mem_forget = "warn"
missing_inline_in_public_items = "warn"
multiple_inherent_impl = "warn"
multiple_unsafe_ops_per_block = "warn"
mutex_atomic = "warn"
non_zero_suggestions = "warn"
panic = "warn"
partial_pub_fields = "warn"
pattern_type_mismatch = "warn"
pub_without_shorthand = "warn"
rc_buffer = "warn"
rc_mutex = "warn"
redundant_type_annotations = "warn"
renamed_function_params = "warn"
rest_pat_in_fully_bound_structs = "warn"
same_name_method = "warn"
self_named_module_files = "deny"
semicolon_inside_block = "warn"
shadow_same = "warn"
shadow_unrelated = "warn"
str_to_string = "warn"
string_add = "warn"
string_lit_chars_any = "warn"
string_to_string = "warn"
tests_outside_test_module = "warn"
todo = "warn"
try_err = "warn"
undocumented_unsafe_blocks = "warn"
unnecessary_safety_comment = "warn"
unnecessary_safety_doc = "warn"
unneeded_field_pattern = "warn"
unseparated_literal_suffix = "warn"
unused_result_ok = "warn"
unused_trait_names = "warn"
unwrap_used = "warn"
verbose_file_reads = "warn"
+1 -1
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@@ -1,5 +1,5 @@
# Missed things
[X] Log EXO_LIBP2P_NAMESPACE on start in exo/main.py
[X] Log namespace on start in exo/main.py
[X] Ordering of warmup was changed, which is wrong. It was changed to rank < n-1, then rank=n-1. It should be rank!=0 then rank=0 (this matches the auto_parallel implementation. NOTE: we use a different convention to mlx-lm, our terminal rank is rank=n-1 whereas mlx-lm is rank=0 hence i can see why this was changed wrongly).
[X] Downloads keying by model_id not shard_metadata (worker/plan.py, worker/main.py).
[X] Fetching download status of all models on start
+5 -19
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@@ -72,30 +72,16 @@ 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 macmon node
```
@@ -213,14 +199,14 @@ The app will ask for permission to modify system settings and install a new Netw
**Custom Namespace for Cluster Isolation:**
The macOS app includes a custom namespace feature that allows you to isolate your exo cluster from others on the same network. This is configured through the `EXO_LIBP2P_NAMESPACE` setting:
The macOS app includes a custom namespace feature that allows you to isolate your exo cluster from others on the same network. This is configured through the `--namespace` cli arg:
- **Use cases**:
- Running multiple separate exo clusters on the same network
- Isolating development/testing clusters from production clusters
- Preventing accidental cluster joining
- **Configuration**: Access this setting in the app's Advanced settings (or set the `EXO_LIBP2P_NAMESPACE` environment variable when running from source)
- **Configuration**: Access this setting in the app's Advanced settings (or set the `--namespace` argument when running from source)
The namespace is logged on startup for debugging purposes.
@@ -432,4 +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.
+4 -30
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@@ -82,6 +82,7 @@ final class ExoProcessController: ObservableObject {
let child = Process()
child.executableURL = executableURL
child.arguments = ["--namespace", computeNamespace()]
let exoHomeURL = Self.exoDirectoryURL
try? FileManager.default.createDirectory(
at: exoHomeURL, withIntermediateDirectories: true
@@ -126,37 +127,11 @@ 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() {
@@ -242,7 +217,6 @@ final class ExoProcessController: ObservableObject {
private func makeEnvironment(for runtimeURL: URL) -> [String: String] {
var environment = ProcessInfo.processInfo.environment
environment["EXO_RUNTIME_DIR"] = runtimeURL.path
environment["EXO_LIBP2P_NAMESPACE"] = computeNamespace()
if !hfToken.isEmpty {
environment["HF_TOKEN"] = hfToken
}
File diff suppressed because it is too large Load Diff
+459 -45
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@@ -1,48 +1,29 @@
# type: ignore
#!/usr/bin/env python3
"""Tool-calling eval for exo's OpenAI-compatible API.
Tests whether models correctly:
- Trigger tool calls when appropriate
- Return valid JSON arguments matching function schemas
- Handle multi-turn tool use (call -> result -> final answer)
- Avoid calling tools when unnecessary
Start exo with a model first, then run:
uv run python tool_call_eval.py --model <model-id>
uv run python tool_call_eval.py --model <model-id> --host 10.0.0.5 --port 52415
uv run python tool_call_eval.py --model <model-id> --repeat 3
uv run python tool_call_eval.py --model <model-id> --scenarios weather_simple calculator_multi_turn
"""
# pyright: reportAny=false, reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
from __future__ import annotations
import argparse
import contextlib
import http.client
import itertools
import json
import os
import sys
import time
from collections.abc import Callable
from pathlib import Path
from statistics import mean
from typing import Any
from urllib.parse import urlencode
from harness import (
ExoClient,
ExoHttpError,
add_common_instance_args,
instance_id_from_instance,
nodes_used_in_instance,
resolve_model_short_id,
run_planning_phase,
settle_and_fetch_placements,
wait_for_instance_gone,
wait_for_instance_ready,
)
from loguru import logger
from transformers import AutoTokenizer
# Backoff constants for cluster settling retry
_SETTLE_INITIAL_BACKOFF_S = 1.0
_SETTLE_MAX_BACKOFF_S = 60.0
_SETTLE_BACKOFF_MULTIPLIER = 2.0
# Monkey-patch for transformers 5.x compatibility
# Kimi's tokenization_kimi.py imports bytes_to_unicode from the old location
# which was moved in transformers 5.0.0rc2
@@ -122,6 +103,154 @@ def load_tokenizer_for_bench(model_id: str) -> Any:
return AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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 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 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
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
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 TimeoutError(f"Instance {instance_id} did not get deleted within {timeout=}")
def format_peak_memory(b: float) -> str:
for unit in ["B", "KB", "MB", "GB", "TB"]:
if b < 1024.0:
@@ -140,6 +269,184 @@ def parse_int_list(values: list[str]) -> list[int]:
return items
def resolve_model_short_id(client: ExoClient, model_arg: str) -> tuple[str, str]:
models = client.request_json("GET", "/models") or {}
data = models.get("data") or []
for m in data:
if m.get("name").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
raise ValueError(f"Model not found in /models: {model_arg}")
def run_planning_phase(
client: ExoClient,
full_model_id: str,
preview: dict[str, Any],
danger_delete: bool,
timeout: float,
settle_deadline: float | None,
) -> None:
"""Check disk space and ensure model is downloaded before benchmarking."""
# 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
# Get nodes from preview
inner = unwrap_instance(preview["instance"])
node_ids = list(inner["shardAssignments"]["nodeToRunner"].keys())
runner_to_shard = inner["shardAssignments"]["runnerToShard"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
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
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
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)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
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."
)
# Delete from smallest to largest
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["totalBytes"]["inBytes"],
)
for p in node_downloads
if "DownloadCompleted" in p
]
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)
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
start = time.time()
while time.time() - start < timeout:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
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
if all_done:
return
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
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 run_one_completion(
client: ExoClient, model_id: str, pp_hint: int, tg: int, prompt_sizer: PromptSizer
) -> tuple[dict[str, Any], int]:
@@ -231,12 +538,76 @@ class PromptSizer:
return content, tok
def fetch_and_filter_placements(
client: ExoClient, full_model_id: str, args: argparse.Namespace
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
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 main() -> int:
ap = argparse.ArgumentParser(
prog="exo-bench",
description="Benchmark exo model throughput across placement previews.",
)
add_common_instance_args(ap)
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(
"--pp",
nargs="+",
@@ -249,6 +620,34 @@ def main() -> int:
required=True,
help="Generation lengths (ints). Accepts commas.",
)
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(
"--repeat", type=int, default=1, help="Repetitions per (pp,tg) pair."
)
@@ -258,6 +657,9 @@ def main() -> int:
default=0,
help="Warmup runs per placement (uses first pp/tg).",
)
ap.add_argument(
"--timeout", type=float, default=7200.0, help="HTTP timeout (seconds)."
)
ap.add_argument(
"--json-out",
default="bench/results.json",
@@ -272,6 +674,17 @@ def main() -> int:
action="store_true",
help="Force all pp×tg combinations (cartesian product) even when lists have equal length.",
)
ap.add_argument(
"--settle-timeout",
type=float,
default=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.",
)
args = ap.parse_args()
pp_list = parse_int_list(args.pp)
@@ -306,10 +719,24 @@ def main() -> int:
logger.error("[exo-bench] tokenizer usable but prompt sizing failed")
raise
selected = settle_and_fetch_placements(
client, full_model_id, args, settle_timeout=args.settle_timeout
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
selected = fetch_and_filter_placements(client, full_model_id, args)
if not selected and settle_deadline:
backoff = _SETTLE_INITIAL_BACKOFF_S
while not selected and time.monotonic() < settle_deadline:
remaining = settle_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)
if not selected:
logger.error("No valid placements matched your filters.")
return 1
@@ -333,12 +760,8 @@ def main() -> int:
if args.dry_run:
return 0
settle_deadline = (
time.monotonic() + args.settle_timeout if args.settle_timeout > 0 else None
)
logger.info("Planning phase: checking downloads...")
download_duration_s = run_planning_phase(
run_planning_phase(
client,
full_model_id,
selected[0],
@@ -346,10 +769,6 @@ def main() -> int:
args.timeout,
settle_deadline,
)
if download_duration_s is not None:
logger.info(f"Download: {download_duration_s:.1f}s (freshly downloaded)")
else:
logger.info("Download: model already cached")
all_rows: list[dict[str, Any]] = []
@@ -413,11 +832,6 @@ def main() -> int:
"pp_tokens": actual_pp_tokens,
"tg": tg,
"repeat_index": r,
**(
{"download_duration_s": download_duration_s}
if download_duration_s is not None
else {}
),
}
)
runs.append(row)
-489
View File
@@ -1,489 +0,0 @@
# type: ignore
from __future__ import annotations
import argparse
import http.client
import json
import os
import time
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 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 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
while time.time() - start_time < timeout:
state = client.request_json("GET", "/state")
instances = state.get("instances", {})
if instance_id not in instances:
if instance_existed:
# Instance was deleted after being created - likely due to runner failure
raise RuntimeError(
f"Instance {instance_id} was deleted (runner may have failed)"
)
time.sleep(0.1)
continue
instance_existed = True
instance = instances[instance_id]
runner_ids = runner_ids_from_instance(instance)
runners = state.get("runners", {})
# Check for failed runners first
for rid in runner_ids:
runner = runners.get(rid, {})
if runner_failed(runner):
error_msg = get_runner_failed_message(runner) or "Unknown error"
raise RuntimeError(f"Runner {rid} failed: {error_msg}")
if all(runner_ready(runners.get(rid, {})) for rid in runner_ids):
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 resolve_model_short_id(client: ExoClient, model_arg: str) -> 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
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
) -> list[dict[str, Any]]:
previews_resp = client.request_json(
"GET", "/instance/previews", params={"model_id": full_model_id}
)
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,
) -> list[dict[str, Any]]:
selected = fetch_and_filter_placements(client, full_model_id, args)
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)
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"]
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
node_disk = state.get("nodeDisk", {})
needs_download = False
for node_id in node_ids:
node_downloads = downloads.get(node_id, [])
# Check if model already downloaded on this node
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
# Wait for disk info if settle_deadline is set
disk_info = node_disk.get(node_id, {})
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)
state = client.request_json("GET", "/state")
node_disk = state.get("nodeDisk", {})
disk_info = node_disk.get(node_id, {})
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."
)
# Delete from smallest to largest (skip read-only models from EXO_MODELS_PATH)
completed = [
(
unwrap_instance(p["DownloadCompleted"]["shardMetadata"])["modelCard"][
"modelId"
],
p["DownloadCompleted"]["totalBytes"]["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
start = time.time()
while time.time() - start < timeout:
state = client.request_json("GET", "/state")
downloads = state.get("downloads", {})
all_done = True
for node_id in node_ids:
done = any(
"DownloadCompleted" in p
and unwrap_instance(p["DownloadCompleted"]["shardMetadata"])[
"modelCard"
]["modelId"]
== full_model_id
for p in downloads.get(node_id, [])
)
failed = [
p["DownloadFailed"]["errorMessage"]
for p in downloads.get(node_id, [])
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
if all_done:
if download_t0 is not None:
return time.perf_counter() - download_t0
return None
time.sleep(1)
raise TimeoutError("Downloads did not complete in time")
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(
"--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=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.",
)
-1
View File
@@ -4,7 +4,6 @@ version = "0.1.0"
description = "Benchmarking tool for exo distributed inference"
requires-python = ">=3.13"
dependencies = [
"httpx>=0.27.0",
"loguru>=0.7.3",
"transformers>=5.0.0",
"huggingface-hub>=0.33.4",
-306
View File
@@ -1,306 +0,0 @@
# Tool definitions — each becomes an OpenAI function tool.
# All scenarios get all tools unless they specify a `tools` list.
[tools.get_current_weather]
description = "Get the current weather in a given location"
required = ["location"]
[tools.get_current_weather.properties.location]
type = "string"
description = "City and state, e.g. San Francisco, CA"
[tools.get_current_weather.properties.unit]
type = "string"
enum = ["celsius", "fahrenheit"]
description = "Temperature unit"
[tools.calculate]
description = "Evaluate a mathematical expression and return the numeric result"
required = ["expression"]
[tools.calculate.properties.expression]
type = "string"
description = "The math expression to evaluate, e.g. '2 + 3 * 4'"
[tools.search_products]
description = "Search for products in a catalog by query, category, and price"
required = ["query"]
[tools.search_products.properties.query]
type = "string"
description = "Search query string"
[tools.search_products.properties.category]
type = "string"
enum = ["electronics", "clothing", "food", "books"]
description = "Product category to filter by"
[tools.search_products.properties.max_price]
type = "number"
description = "Maximum price in USD"
[tools.create_todos]
description = "Create a structured todo list"
required = ["todos"]
[tools.create_todos.properties.todos]
type = "array"
description = "List of todo items"
[tools.create_todos.properties.todos.items]
type = "object"
required = ["content", "status", "priority"]
[tools.create_todos.properties.todos.items.properties.content]
type = "string"
description = "The todo item text"
[tools.create_todos.properties.todos.items.properties.status]
type = "string"
description = "Status: pending, in_progress, or completed"
[tools.create_todos.properties.todos.items.properties.priority]
type = "string"
description = "Priority: low, normal, or high"
# -- Should call a tool --
[[scenarios]]
name = "weather_simple"
description = "Basic weather query -> get_current_weather"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "What's the weather like in Tokyo right now?"
[[scenarios]]
name = "calculator_simple"
description = "Math question -> calculate"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 3847 * 926 + 17293"
[[scenarios]]
name = "search_with_filters"
description = "Product search with category and price filter"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.messages]]
role = "user"
content = "Find me electronics under $50"
# -- Multi-turn: tool call then follow-up --
[[scenarios]]
name = "weather_multi_turn"
description = "Weather query -> tool result -> natural language summary"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[scenarios.tool_result]
temperature = "18C"
condition = "partly cloudy"
humidity = "65%"
wind = "12 km/h NW"
[[scenarios.messages]]
role = "user"
content = "What's the weather in Paris?"
[[scenarios]]
name = "calculator_multi_turn"
description = "Math query -> tool result -> model reports the answer"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[scenarios.tool_result]
result = 491682
[[scenarios.messages]]
role = "user"
content = "Use the calculator to compute 1847 * 263 + 5921"
[[scenarios]]
name = "search_multi_turn"
description = "Search query -> tool result -> model summarizes products"
expect_tool_call = true
expected_function = "search_products"
required_arg_keys = ["query"]
[[scenarios.tool_result.results]]
name = "Hands-On Machine Learning"
price = 45.99
rating = 4.8
[[scenarios.tool_result.results]]
name = "Deep Learning with Python"
price = 39.99
rating = 4.6
[[scenarios.messages]]
role = "user"
content = "Search for books about machine learning"
# -- Sequential tool calls --
[[scenarios]]
name = "chained_tool_calls_same"
description = "Thinking + weather(Tokyo) -> result -> model must call weather(London)"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare the weather in Tokyo and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check both cities. Let me start with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_1"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_1"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios]]
name = "chained_tool_calls_different"
description = "Thinking + weather(Berlin) -> result -> model must call calculator"
expect_tool_call = true
expected_function = "calculate"
required_arg_keys = ["expression"]
[[scenarios.messages]]
role = "user"
content = "What's the weather in Berlin, and also use the calculator to compute 4819 * 37 + 291."
[[scenarios.messages]]
role = "assistant"
content = "I'll handle both. Let me check Berlin's weather first."
[[scenarios.messages.tool_calls]]
id = "call_2"
name = "get_current_weather"
arguments = { location = "Berlin" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_2"
content = '{"temperature": "12C", "condition": "rainy"}'
[[scenarios]]
name = "chained_tool_calls_three"
description = "Two prior thinking+tool calls -> results -> model must make a third"
expect_tool_call = true
expected_function = "get_current_weather"
required_arg_keys = ["location"]
[[scenarios.messages]]
role = "user"
content = "Compare weather in Tokyo, Paris, and London."
[[scenarios.messages]]
role = "assistant"
content = "I'll check all three cities. Starting with Tokyo."
[[scenarios.messages.tool_calls]]
id = "call_3"
name = "get_current_weather"
arguments = { location = "Tokyo" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_3"
content = '{"temperature": "25C", "condition": "sunny"}'
[[scenarios.messages]]
role = "assistant"
content = "Got Tokyo. Now checking Paris."
[[scenarios.messages.tool_calls]]
id = "call_4"
name = "get_current_weather"
arguments = { location = "Paris" }
[[scenarios.messages]]
role = "tool"
tool_call_id = "call_4"
content = '{"temperature": "18C", "condition": "cloudy"}'
# -- Nested object schema (regression for lossy chat template rendering) --
[[scenarios]]
name = "nested_schema_tool_call"
description = "Tool call with nested object array schema -> create_todos"
expect_tool_call = true
expected_function = "create_todos"
required_arg_keys = ["todos"]
nested_array_key = "todos"
required_item_keys = ["content", "status", "priority"]
tools = ["create_todos"]
[[scenarios.messages]]
role = "user"
content = "Create a todo list with 3 items to learn Python"
# -- Tool name integrity (regression for harmony token leaking into name) --
[tools.glob]
description = "Search for files matching a glob pattern in the codebase"
required = ["pattern"]
[tools.glob.properties.pattern]
type = "string"
description = "The glob pattern to match files against, e.g. '**/*.py'"
[tools.glob.properties.path]
type = "string"
description = "The directory to search in"
[[scenarios]]
name = "tool_name_integrity"
description = "Tool name must not contain harmony tokens like <|channel|>"
expect_tool_call = true
expected_function = "glob"
required_arg_keys = ["pattern"]
tools = ["glob"]
[[scenarios.messages]]
role = "user"
content = "Find all Python files in the src directory"
# -- Should NOT call a tool --
[[scenarios]]
name = "no_tool_joke"
description = "Joke request should NOT trigger any tool"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "Tell me a funny joke about cats."
[[scenarios]]
name = "no_tool_factual"
description = "Factual question answerable from training data"
expect_tool_call = false
[[scenarios.messages]]
role = "user"
content = "What is the capital of Japan?"
+78 -85
View File
@@ -14,7 +14,6 @@
totalTokens,
thinkingEnabled as thinkingEnabledStore,
setConversationThinking,
stopGeneration,
} from "$lib/stores/app.svelte";
import ChatAttachments from "./ChatAttachments.svelte";
import ImageParamsPanel from "./ImageParamsPanel.svelte";
@@ -104,7 +103,7 @@
const modelSupportsThinking = $derived(() => {
if (!currentModel) return false;
const caps = modelCapabilities[currentModel] || [];
return caps.includes("thinking_toggle") && caps.includes("text");
return caps.includes("thinking") && caps.includes("text");
});
const isEditOnlyWithoutImage = $derived(
@@ -654,92 +653,86 @@
style="min-height: 28px; max-height: 150px;"
></textarea>
{#if loading}
<button
type="button"
onclick={() => stopGeneration()}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] font-medium transition-all duration-200 whitespace-nowrap bg-exo-medium-gray/70 text-exo-light-gray hover:bg-exo-medium-gray hover:text-white"
aria-label="Stop generation"
>
<button
type="submit"
disabled={!canSend || loading || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || loading || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if loading}
<span class="inline-flex items-center gap-1 sm:gap-2">
<svg
class="w-3 h-3 sm:w-3.5 sm:h-3.5"
fill="currentColor"
viewBox="0 0 24 24"
<span
class="w-2.5 h-2.5 sm:w-3 sm:h-3 border-2 border-current border-t-transparent rounded-full animate-spin"
></span>
<span class="hidden sm:inline"
>{shouldShowEditMode
? "EDITING"
: isImageModel()
? "GENERATING"
: "PROCESSING"}</span
>
<rect x="6" y="6" width="12" height="12" rx="1" />
</svg>
<span class="hidden sm:inline">Cancel</span>
<span class="sm:hidden">...</span>
</span>
</button>
{:else}
<button
type="submit"
disabled={!canSend || isEditOnlyWithoutImage}
class="px-2.5 sm:px-4 py-1.5 sm:py-2 rounded text-xs sm:text-xs tracking-[0.1em] sm:tracking-[0.15em] uppercase font-medium transition-all duration-200 whitespace-nowrap
{!canSend || isEditOnlyWithoutImage
? 'bg-exo-medium-gray/50 text-exo-light-gray cursor-not-allowed'
: 'bg-exo-yellow text-exo-black hover:bg-exo-yellow-darker hover:shadow-[0_0_20px_rgba(255,215,0,0.3)]'}"
aria-label={shouldShowEditMode
? "Edit image"
: isImageModel()
? "Generate image"
: "Send message"}
>
{#if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
{/if}
{:else if shouldShowEditMode}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isEditOnlyWithoutImage}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z"
/>
</svg>
<span>EDIT</span>
</span>
{:else if isImageModel()}
<span class="inline-flex items-center gap-1.5">
<svg
class="w-3.5 h-3.5"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<rect x="3" y="3" width="18" height="18" rx="2" ry="2" />
<circle cx="8.5" cy="8.5" r="1.5" />
<polyline points="21 15 16 10 5 21" />
</svg>
<span>GENERATE</span>
</span>
{:else}
SEND
{/if}
</button>
</div>
<!-- Bottom accent line -->
@@ -3,17 +3,16 @@
messages,
currentResponse,
isLoading,
prefillProgress,
deleteMessage,
editAndRegenerate,
regenerateLastResponse,
regenerateFromToken,
setEditingImage,
} from "$lib/stores/app.svelte";
import type { Message } from "$lib/stores/app.svelte";
import type { MessageAttachment } from "$lib/stores/app.svelte";
import MarkdownContent from "./MarkdownContent.svelte";
import TokenHeatmap from "./TokenHeatmap.svelte";
import PrefillProgressBar from "./PrefillProgressBar.svelte";
import ImageLightbox from "./ImageLightbox.svelte";
interface Props {
@@ -26,7 +25,6 @@
const messageList = $derived(messages());
const response = $derived(currentResponse());
const loading = $derived(isLoading());
const prefill = $derived(prefillProgress());
// Scroll management - user controls scroll, show button when not at bottom
const SCROLL_THRESHOLD = 100;
@@ -430,9 +428,6 @@
{:else}
<!-- Assistant message styling -->
<div class="p-3 sm:p-4">
{#if loading && isLastAssistantMessage(message.id) && prefill && !message.content}
<PrefillProgressBar progress={prefill} class="mb-3" />
{/if}
{#if message.thinking && message.thinking.trim().length > 0}
<div
class="mb-3 rounded border border-exo-yellow/20 bg-exo-black/40"
@@ -26,8 +26,7 @@
downloadedOnNodes = [],
}: HuggingFaceResultItemProps = $props();
function formatNumber(num: number | undefined): string {
if (num == null) return "0";
function formatNumber(num: number): string {
if (num >= 1000000) {
return `${(num / 1000000).toFixed(1)}M`;
} else if (num >= 1000) {
@@ -59,14 +59,13 @@
}
const sizeOptions: ImageGenerationParams["size"][] = [
"auto",
"512x512",
"768x768",
"1024x1024",
"1024x768",
"768x1024",
"1024x1536",
"1536x1024",
"1024x1365",
"1365x1024",
];
const qualityOptions: ImageGenerationParams["quality"][] = [
@@ -177,90 +176,92 @@
<div class="border-b border-exo-medium-gray/30 px-3 py-2">
<!-- Basic params row -->
<div class="flex items-center gap-3 flex-wrap">
<!-- Size -->
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
>
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
<!-- Size (hidden in edit mode - output size comes from input image) -->
{#if !isEditMode}
<div class="flex items-center gap-1.5">
<span class="text-xs text-exo-light-gray uppercase tracking-wider"
>SIZE:</span
>
{params.size.toUpperCase()}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
<div class="relative">
<button
bind:this={sizeButtonRef}
type="button"
onclick={() => (isSizeDropdownOpen = !isSizeDropdownOpen)}
class="bg-exo-medium-gray/50 border border-exo-yellow/30 rounded pl-2 pr-6 py-1 text-xs font-mono text-exo-yellow cursor-pointer transition-all duration-200 hover:border-exo-yellow/50 focus:outline-none focus:border-exo-yellow/70 {isSizeDropdownOpen
? 'border-exo-yellow/70'
: ''}"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
</div>
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size.toUpperCase()}</span>
</button>
{/each}
{params.size}
</button>
<div
class="absolute right-1.5 top-1/2 -translate-y-1/2 pointer-events-none transition-transform duration-200 {isSizeDropdownOpen
? 'rotate-180'
: ''}"
>
<svg
class="w-3 h-3 text-exo-yellow/60"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
stroke-width="2"
d="M19 9l-7 7-7-7"
/>
</svg>
</div>
</div>
{/if}
</div>
{#if isSizeDropdownOpen}
<!-- Backdrop to close dropdown -->
<button
type="button"
class="fixed inset-0 z-[9998] cursor-default"
onclick={() => (isSizeDropdownOpen = false)}
aria-label="Close dropdown"
></button>
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
style="bottom: calc(100vh - {sizeDropdownPosition()
.top}px + 4px); left: {sizeDropdownPosition().left}px;"
>
<div class="py-1">
{#each sizeOptions as size}
<button
type="button"
onclick={() => selectSize(size)}
class="w-full px-3 py-1.5 text-left text-xs font-mono tracking-wide transition-colors duration-100 flex items-center gap-2 {params.size ===
size
? 'bg-transparent text-exo-yellow'
: 'text-exo-light-gray hover:text-exo-yellow'}"
>
{#if params.size === size}
<svg
class="w-3 h-3 flex-shrink-0"
fill="currentColor"
viewBox="0 0 20 20"
>
<path
fill-rule="evenodd"
d="M16.707 5.293a1 1 0 010 1.414l-8 8a1 1 0 01-1.414 0l-4-4a1 1 0 011.414-1.414L8 12.586l7.293-7.293a1 1 0 011.414 0z"
clip-rule="evenodd"
/>
</svg>
{:else}
<span class="w-3"></span>
{/if}
<span>{size}</span>
</button>
{/each}
</div>
</div>
{/if}
</div>
{/if}
<!-- Quality -->
<div class="flex items-center gap-1.5">
@@ -310,7 +311,7 @@
<!-- Dropdown Panel - fixed positioning to escape overflow:hidden -->
<div
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto overflow-x-hidden min-w-max"
class="fixed bg-exo-dark-gray border border-exo-yellow/30 rounded shadow-lg shadow-black/50 z-[9999] max-h-48 overflow-y-auto min-w-max"
style="bottom: calc(100vh - {qualityDropdownPosition()
.top}px + 4px); left: {qualityDropdownPosition().left}px;"
>
@@ -1,70 +0,0 @@
<script lang="ts">
import type { PrefillProgress } from "$lib/stores/app.svelte";
interface Props {
progress: PrefillProgress;
class?: string;
}
let { progress, class: className = "" }: Props = $props();
const percentage = $derived(
progress.total > 0
? Math.round((progress.processed / progress.total) * 100)
: 0,
);
const etaText = $derived.by(() => {
if (progress.processed <= 0 || progress.total <= 0) return null;
const elapsedMs = performance.now() - progress.startedAt;
if (elapsedMs < 200) return null; // need a minimum sample window
const tokensPerMs = progress.processed / elapsedMs;
const remainingTokens = progress.total - progress.processed;
const remainingMs = remainingTokens / tokensPerMs;
const remainingSec = Math.ceil(remainingMs / 1000);
if (remainingSec <= 0) return null;
if (remainingSec < 60) return `~${remainingSec}s remaining`;
const mins = Math.floor(remainingSec / 60);
const secs = remainingSec % 60;
return `~${mins}m ${secs}s remaining`;
});
function formatTokenCount(count: number | undefined): string {
if (count == null) return "0";
if (count >= 1000) {
return `${(count / 1000).toFixed(1)}k`;
}
return count.toString();
}
</script>
<div class="prefill-progress {className}">
<div
class="flex items-center justify-between text-xs text-exo-light-gray mb-1"
>
<span>Processing prompt</span>
<span class="font-mono">
{formatTokenCount(progress.processed)} / {formatTokenCount(
progress.total,
)} tokens
</span>
</div>
<div class="h-1.5 bg-exo-black/60 rounded-full overflow-hidden">
<div
class="h-full bg-exo-yellow rounded-full transition-all duration-150 ease-out"
style="width: {percentage}%"
></div>
</div>
<div
class="flex items-center justify-between text-xs text-exo-light-gray/70 mt-0.5 font-mono"
>
<span>{etaText ?? ""}</span>
<span>{percentage}%</span>
</div>
</div>
<style>
.prefill-progress {
width: 100%;
}
</style>
+32 -151
View File
@@ -250,11 +250,6 @@ interface RawStateResponse {
>;
// Thunderbolt bridge cycles (nodes with bridge enabled forming loops)
thunderboltBridgeCycles?: string[][];
// Disk usage per node
nodeDisk?: Record<
string,
{ total: { inBytes: number }; available: { inBytes: number } }
>;
}
export interface MessageAttachment {
@@ -278,13 +273,6 @@ export interface TokenData {
topLogprobs: TopLogprob[];
}
export interface PrefillProgress {
processed: number;
total: number;
/** Timestamp (performance.now()) when prefill started. */
startedAt: number;
}
export interface Message {
id: string;
role: "user" | "assistant" | "system";
@@ -318,14 +306,13 @@ const IMAGE_PARAMS_STORAGE_KEY = "exo-image-generation-params";
export interface ImageGenerationParams {
// Basic params
size:
| "auto"
| "512x512"
| "768x768"
| "1024x1024"
| "1024x768"
| "768x1024"
| "1024x1536"
| "1536x1024";
| "1024x1365"
| "1365x1024";
quality: "low" | "medium" | "high";
outputFormat: "png" | "jpeg";
numImages: number;
@@ -349,7 +336,7 @@ export interface EditingImage {
}
const DEFAULT_IMAGE_PARAMS: ImageGenerationParams = {
size: "auto",
size: "1024x1024",
quality: "medium",
outputFormat: "png",
numImages: 1,
@@ -532,10 +519,6 @@ class AppStore {
ttftMs = $state<number | null>(null); // Time to first token in ms
tps = $state<number | null>(null); // Tokens per second
totalTokens = $state<number>(0); // Total tokens in current response
prefillProgress = $state<PrefillProgress | null>(null);
// Abort controller for stopping generation
private currentAbortController: AbortController | null = null;
// Topology state
topologyData = $state<TopologyData | null>(null);
@@ -1659,12 +1642,11 @@ class AppStore {
if (!reader) throw new Error("No response body");
let fullContent = prefixText;
let streamedThinking = "";
const collectedTokens: TokenData[] = [...tokensToKeep];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1685,7 +1667,6 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1704,11 +1685,7 @@ class AppStore {
}
}
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (delta) {
if (firstTokenTime === null) {
firstTokenTime = performance.now();
this.ttftMs = firstTokenTime - requestStartTime;
@@ -1722,14 +1699,9 @@ class AppStore {
this.tps = ((tokenCount - tokensToKeep.length) / elapsed) * 1000;
}
if (delta) {
fullContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
fullContent += delta;
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
if (this.activeConversationId === targetConversationId) {
this.currentResponse = displayContent;
@@ -1741,7 +1713,7 @@ class AppStore {
messageId,
(m) => {
m.content = displayContent;
m.thinking = combinedThinking || undefined;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
},
);
@@ -1753,14 +1725,11 @@ class AppStore {
// Final update
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(fullContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(targetConversationId, messageId, (m) => {
m.content = displayContent;
m.thinking = finalThinking || undefined;
m.thinking = thinkingContent || undefined;
m.tokens = [...collectedTokens];
if (this.ttftMs !== null) m.ttftMs = this.ttftMs;
if (this.tps !== null) m.tps = this.tps;
@@ -1868,12 +1837,11 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
const collectedTokens: TokenData[] = [];
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -1894,7 +1862,6 @@ class AppStore {
(parsed) => {
const choice = parsed.choices?.[0];
const delta = choice?.delta?.content;
const thinkingDelta = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -1913,19 +1880,10 @@ class AppStore {
}
}
if (thinkingDelta) {
streamedThinking += thinkingDelta;
}
if (delta || thinkingDelta) {
if (delta) {
streamedContent += delta;
}
const { displayContent, thinkingContent: tagThinking } =
if (delta) {
streamedContent += delta;
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -1938,7 +1896,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = combinedThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -1950,17 +1908,14 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = finalThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2049,7 +2004,6 @@ class AppStore {
reader: ReadableStreamDefaultReader<Uint8Array>,
targetConversationId: string,
onChunk: (parsed: T) => void,
onEvent?: Record<string, (data: unknown) => void>,
): Promise<void> {
const decoder = new TextDecoder();
let buffer = "";
@@ -2070,24 +2024,6 @@ class AppStore {
const trimmed = line.trim();
if (!trimmed) continue;
// Handle SSE comments (": key json") for prefill progress etc.
if (trimmed.startsWith(": ") && onEvent) {
const comment = trimmed.slice(2);
const spaceIdx = comment.indexOf(" ");
if (spaceIdx > 0) {
const key = comment.slice(0, spaceIdx);
if (onEvent[key]) {
try {
const parsed = JSON.parse(comment.slice(spaceIdx + 1));
onEvent[key](parsed);
} catch {
// Skip malformed JSON in comment
}
}
}
continue;
}
if (trimmed.startsWith("data: ")) {
const data = trimmed.slice(6);
if (data === "[DONE]") continue;
@@ -2319,9 +2255,6 @@ class AppStore {
let firstTokenTime: number | null = null;
let tokenCount = 0;
const abortController = new AbortController();
this.currentAbortController = abortController;
const response = await fetch("/v1/chat/completions", {
method: "POST",
headers: {
@@ -2338,7 +2271,6 @@ class AppStore {
enable_thinking: enableThinking,
}),
}),
signal: abortController.signal,
});
if (!response.ok) {
@@ -2352,11 +2284,10 @@ class AppStore {
}
let streamedContent = "";
let streamedThinking = "";
interface ChatCompletionChunk {
choices?: Array<{
delta?: { content?: string; reasoning_content?: string };
delta?: { content?: string };
logprobs?: {
content?: Array<{
token: string;
@@ -2377,14 +2308,8 @@ class AppStore {
reader,
targetConversationId,
(parsed) => {
// Clear prefill progress when first token data arrives
if (this.prefillProgress) {
this.prefillProgress = null;
}
const choice = parsed.choices?.[0];
const tokenContent = choice?.delta?.content;
const thinkingContent = choice?.delta?.reasoning_content;
// Collect logprobs data
const logprobsContent = choice?.logprobs?.content;
@@ -2403,11 +2328,7 @@ class AppStore {
}
}
if (thinkingContent) {
streamedThinking += thinkingContent;
}
if (tokenContent || thinkingContent) {
if (tokenContent) {
// Track first token for TTFT
if (firstTokenTime === null) {
firstTokenTime = performance.now();
@@ -2424,16 +2345,11 @@ class AppStore {
this.tps = (tokenCount / elapsed) * 1000;
}
if (tokenContent) {
streamedContent += tokenContent;
}
streamedContent += tokenContent;
// Use stripThinkingTags as fallback for any <think> tags still in content
const { displayContent, thinkingContent: tagThinking } =
// Strip thinking tags for display and extract thinking content
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const combinedThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
// Only update currentResponse if target conversation is active
if (this.activeConversationId === targetConversationId) {
@@ -2446,7 +2362,7 @@ class AppStore {
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = combinedThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
},
);
@@ -2454,27 +2370,8 @@ class AppStore {
this.persistConversation(targetConversationId);
}
},
{
prefill_progress: (data) => {
// TaggedModel wraps as {"PrefillProgressChunk": {...}}
// model_dump_json() uses snake_case (by_alias defaults to False)
const raw = data as Record<string, unknown>;
const inner = (raw["PrefillProgressChunk"] ?? raw) as {
processed_tokens: number;
total_tokens: number;
};
this.prefillProgress = {
processed: inner.processed_tokens,
total: inner.total_tokens,
startedAt: this.prefillProgress?.startedAt ?? performance.now(),
};
},
},
);
// Clear prefill progress after stream ends
this.prefillProgress = null;
// Calculate final TPS
if (firstTokenTime !== null && tokenCount > 1) {
const totalGenerationTime = performance.now() - firstTokenTime;
@@ -2483,17 +2380,14 @@ class AppStore {
// Final cleanup of the message (if conversation still exists)
if (this.conversationExists(targetConversationId)) {
const { displayContent, thinkingContent: tagThinking } =
const { displayContent, thinkingContent } =
this.stripThinkingTags(streamedContent);
const finalThinking = [streamedThinking, tagThinking]
.filter(Boolean)
.join("\n\n");
this.updateConversationMessage(
targetConversationId,
assistantMessage.id,
(msg) => {
msg.content = displayContent;
msg.thinking = finalThinking || undefined;
msg.thinking = thinkingContent || undefined;
msg.tokens = [...collectedTokens];
// Store performance metrics on the message
if (this.ttftMs !== null) {
@@ -2508,31 +2402,20 @@ class AppStore {
this.persistConversation(targetConversationId);
}
} catch (error) {
if (error instanceof DOMException && error.name === "AbortError") {
// User stopped generation — not an error
} else {
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
}
console.error("Error sending message:", error);
this.handleStreamingError(
error,
targetConversationId,
assistantMessage.id,
"Failed to get response",
);
} finally {
this.currentAbortController = null;
this.prefillProgress = null;
this.isLoading = false;
this.currentResponse = "";
this.saveConversationsToStorage();
}
}
stopGeneration(): void {
this.currentAbortController?.abort();
this.currentAbortController = null;
}
/**
* Generate an image using the image generation API
*/
@@ -3159,7 +3042,6 @@ export const isLoading = () => appStore.isLoading;
export const ttftMs = () => appStore.ttftMs;
export const tps = () => appStore.tps;
export const totalTokens = () => appStore.totalTokens;
export const prefillProgress = () => appStore.prefillProgress;
export const topologyData = () => appStore.topologyData;
export const instances = () => appStore.instances;
export const runners = () => appStore.runners;
@@ -3177,7 +3059,6 @@ export const topologyOnlyMode = () => appStore.getTopologyOnlyMode();
export const chatSidebarVisible = () => appStore.getChatSidebarVisible();
// Actions
export const stopGeneration = () => appStore.stopGeneration();
export const startChat = () => appStore.startChat();
export const sendMessage = (
content: string,
+83 -475
View File
@@ -114,74 +114,6 @@
});
let tb5InfoDismissed = $state(false);
// Detect Mac Studio nodes using RDMA on en2 (the port next to ethernet — RDMA doesn't work there)
const macStudioEn2RdmaWarning = $derived.by(() => {
const edges = data?.edges;
const ids = tbIdentifiers;
const rdmaCtl = rdmaCtlData;
if (!edges || !ids || !rdmaCtl) return null;
const affectedConnections: Array<{
nodeId: string;
nodeName: string;
peerNodeId: string;
peerNodeName: string;
rdmaIface: string;
}> = [];
const isMacStudio = (node: (typeof data.nodes)[string] | undefined) =>
node?.system_info?.model_id === "Mac Studio";
for (const edge of edges) {
if (!edge.sourceRdmaIface && !edge.sinkRdmaIface) continue;
const sourceNode = data?.nodes?.[edge.source];
if (
isMacStudio(sourceNode) &&
edge.sourceRdmaIface === "rdma_en2" &&
rdmaCtl[edge.source]?.enabled
) {
affectedConnections.push({
nodeId: edge.source,
nodeName:
sourceNode?.friendly_name || edge.source.slice(0, 8) + "...",
peerNodeId: edge.target,
peerNodeName:
data?.nodes?.[edge.target]?.friendly_name ||
edge.target.slice(0, 8) + "...",
rdmaIface: "en2",
});
}
const sinkNode = data?.nodes?.[edge.target];
if (
isMacStudio(sinkNode) &&
edge.sinkRdmaIface === "rdma_en2" &&
rdmaCtl[edge.target]?.enabled
) {
affectedConnections.push({
nodeId: edge.target,
nodeName: sinkNode?.friendly_name || edge.target.slice(0, 8) + "...",
peerNodeId: edge.source,
peerNodeName:
sourceNode?.friendly_name || edge.source.slice(0, 8) + "...",
rdmaIface: "en2",
});
}
}
// Deduplicate by nodeId
const seen = new Set<string>();
const unique = affectedConnections.filter((c) => {
if (seen.has(c.nodeId)) return false;
seen.add(c.nodeId);
return true;
});
return unique.length > 0 ? unique : null;
});
let macStudioEn2Dismissed = $state(false);
// Helper to get friendly node name from node ID
function getNodeName(nodeId: string): string {
const node = data?.nodes?.[nodeId];
@@ -858,8 +790,10 @@
if (!progress || typeof progress !== "object") return null;
const prog = progress as Record<string, unknown>;
const totalBytes = getBytes(prog.total);
const downloadedBytes = getBytes(prog.downloaded);
const totalBytes = getBytes(prog.total_bytes ?? prog.totalBytes);
const downloadedBytes = getBytes(
prog.downloaded_bytes ?? prog.downloadedBytes,
);
const speed = (prog.speed as number) ?? 0;
const completedFiles =
(prog.completed_files as number) ?? (prog.completedFiles as number) ?? 0;
@@ -872,8 +806,8 @@
for (const [fileName, fileData] of Object.entries(filesObj)) {
if (!fileData || typeof fileData !== "object") continue;
const fd = fileData as Record<string, unknown>;
const fTotal = getBytes(fd.total);
const fDownloaded = getBytes(fd.downloaded);
const fTotal = getBytes(fd.total_bytes ?? fd.totalBytes);
const fDownloaded = getBytes(fd.downloaded_bytes ?? fd.downloadedBytes);
files.push({
name: fileName,
totalBytes: fTotal,
@@ -998,6 +932,13 @@
};
}
// Debug: Log downloads data when it changes
$effect(() => {
if (downloadsData && Object.keys(downloadsData).length > 0) {
console.log("[Download Debug] Current downloads:", downloadsData);
}
});
// Helper to get download status for an instance
function getInstanceDownloadStatus(
instanceId: string,
@@ -1262,6 +1203,7 @@
if (typeof value === "number") return value;
if (value && typeof value === "object") {
const v = value as Record<string, unknown>;
if (typeof v.in_bytes === "number") return v.in_bytes;
if (typeof v.inBytes === "number") return v.inBytes;
}
return 0;
@@ -1823,7 +1765,7 @@
</script>
{#snippet clusterWarnings()}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed) || (macStudioEn2RdmaWarning && !macStudioEn2Dismissed)}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed)}
<div class="absolute top-4 left-4 flex flex-col gap-2 z-40">
{#if tbBridgeCycles.length > 0}
{@const cycle = tbBridgeCycles[0]}
@@ -1948,12 +1890,32 @@
{/if}
{#if tb5WithoutRdma && !tb5InfoDismissed}
<div class="group relative" role="status">
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-yellow-500/50 bg-yellow-500/10 backdrop-blur-sm cursor-help"
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-blue-400/50 bg-blue-400/10 backdrop-blur-sm"
role="status"
>
<svg
class="w-5 h-5 text-blue-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={infoIconPath}
/>
</svg>
<span class="text-sm font-mono text-blue-200"> RDMA AVAILABLE </span>
<button
type="button"
onclick={() => (tb5InfoDismissed = true)}
class="ml-1 text-blue-300/60 hover:text-blue-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-5 h-5 text-yellow-400 flex-shrink-0"
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
@@ -1962,309 +1924,10 @@
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
d="M6 18L18 6M6 6l12 12"
/>
</svg>
<span class="text-sm font-mono text-yellow-200">
RDMA NOT ENABLED
</span>
<button
type="button"
onclick={() => (tb5InfoDismissed = true)}
class="ml-1 text-yellow-300/60 hover:text-yellow-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
<!-- Tooltip on hover -->
<div
class="absolute top-full left-0 mt-2 w-80 p-3 rounded border border-yellow-500/30 bg-exo-dark-gray/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
>
<p class="text-xs text-white/80 mb-2">
Thunderbolt 5 hardware detected on multiple nodes. Enable RDMA for
significantly faster inter-node communication.
</p>
<p class="text-xs text-white/60 mb-1.5">
<span class="text-yellow-300">To enable:</span>
</p>
<ol
class="text-xs text-white/60 list-decimal list-inside space-y-0.5 mb-1.5"
>
<li>Connect nodes with TB5 cables</li>
<li>Boot to Recovery (hold power 10s → Options)</li>
<li>
Run
<code class="text-yellow-300 bg-yellow-400/10 px-1 rounded"
>rdma_ctl enable</code
>
</li>
<li>Reboot</li>
</ol>
<p class="text-xs text-white/40">
Requires macOS 26.2+, TB5 cables, and matching OS versions.
</p>
</div>
</div>
{/if}
{#if macStudioEn2RdmaWarning && !macStudioEn2Dismissed}
<div class="group relative" role="alert">
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-red-500/50 bg-red-500/10 backdrop-blur-sm cursor-help"
>
<svg
class="w-5 h-5 text-red-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
/>
</svg>
<span class="text-sm font-mono text-red-200">
RDMA INCOMPATIBLE PORT
</span>
<button
type="button"
onclick={() => (macStudioEn2Dismissed = true)}
class="ml-1 text-red-300/60 hover:text-red-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
<!-- Expanded tooltip on hover -->
<div
class="absolute top-full left-0 mt-2 w-96 p-4 rounded border border-red-500/30 bg-[#1a1a1a]/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
>
<p class="text-xs text-white/80 mb-3">
The Thunderbolt 5 port next to the Ethernet port on Mac Studio
does
<span class="text-red-400 font-semibold">not support RDMA</span>.
Move the cable to one of the other three TB5 ports.
</p>
<div class="text-xs text-white/60 mb-3">
<span class="text-red-300">Affected:</span>
{#each macStudioEn2RdmaWarning as conn}
<div class="ml-2 mt-0.5">
<span class="text-white/80">{conn.nodeName}</span>
<span class="text-white/30">&rarr;</span>
<span class="text-white/60">{conn.peerNodeName}</span>
<span class="text-white/30 ml-1">(en2)</span>
</div>
{/each}
</div>
<!-- Mac Studio back panel illustration -->
<div class="bg-black/40 rounded p-3 mb-3">
<p
class="text-[10px] font-mono text-white/30 uppercase tracking-wider mb-2"
>
Mac Studio — Rear Panel
</p>
<svg
viewBox="0 0 320 72"
class="w-full"
xmlns="http://www.w3.org/2000/svg"
>
<rect
x="1"
y="1"
width="318"
height="70"
rx="6"
ry="6"
fill="none"
stroke="rgba(255,255,255,0.12)"
stroke-width="1"
/>
<!-- TB5 port 1 -->
<rect
x="24"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="38"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 2 -->
<rect
x="62"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="76"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 3 -->
<rect
x="100"
y="22"
width="28"
height="14"
rx="4"
fill="none"
stroke="rgba(255,255,255,0.3)"
stroke-width="1"
/>
<text
x="114"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>TB5</text
>
<!-- TB5 port 4: INCOMPATIBLE (en2) — equally spaced with ports 1-3 -->
<rect
x="138"
y="22"
width="28"
height="14"
rx="4"
fill="rgba(239,68,68,0.1)"
stroke="rgba(239,68,68,0.7)"
stroke-width="1.5"
/>
<line
x1="142"
y1="25"
x2="162"
y2="33"
stroke="rgba(239,68,68,0.8)"
stroke-width="1.5"
stroke-linecap="round"
/>
<line
x1="162"
y1="25"
x2="142"
y2="33"
stroke="rgba(239,68,68,0.8)"
stroke-width="1.5"
stroke-linecap="round"
/>
<text
x="152"
y="52"
text-anchor="middle"
fill="rgba(239,68,68,0.6)"
style="font-size:7px;font-family:ui-monospace,monospace;font-weight:600;"
>en2</text
>
<!-- Ethernet port -->
<rect
x="196"
y="19"
width="24"
height="20"
rx="2"
fill="none"
stroke="rgba(255,255,255,0.2)"
stroke-width="1"
/>
<rect
x="200"
y="23"
width="16"
height="12"
rx="1"
fill="none"
stroke="rgba(255,255,255,0.12)"
stroke-width="0.75"
/>
<text
x="208"
y="52"
text-anchor="middle"
fill="rgba(255,255,255,0.25)"
style="font-size:7px;font-family:ui-monospace,monospace;"
>ETH</text
>
<!-- Green checkmarks on working ports -->
<circle
cx="38"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
<circle
cx="76"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
<circle
cx="114"
cy="62"
r="3"
fill="none"
stroke="rgba(74,222,128,0.5)"
stroke-width="0.75"
/>
</svg>
</div>
<p class="text-xs text-white/50">
<span class="text-green-400">Fix:</span> Move the Thunderbolt cable
to any of the three leftmost ports (all support RDMA).
</p>
</div>
</button>
</div>
{/if}
</div>
@@ -2272,7 +1935,7 @@
{/snippet}
{#snippet clusterWarningsCompact()}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed) || (macStudioEn2RdmaWarning && !macStudioEn2Dismissed)}
{#if tbBridgeCycles.length > 0 || macosVersionMismatch || (tb5WithoutRdma && !tb5InfoDismissed)}
<div class="absolute top-2 left-2 flex flex-col gap-1">
{#if tbBridgeCycles.length > 0}
<div
@@ -2320,11 +1983,11 @@
{/if}
{#if tb5WithoutRdma && !tb5InfoDismissed}
<div
class="flex items-center gap-1.5 px-2 py-1 rounded border border-yellow-500/50 bg-yellow-500/10 backdrop-blur-sm"
title="Thunderbolt 5 detected — RDMA not enabled. Enable for faster inter-node communication."
class="flex items-center gap-1.5 px-2 py-1 rounded border border-blue-400/50 bg-blue-400/10 backdrop-blur-sm"
title="Thunderbolt 5 detected — RDMA can be enabled for better performance"
>
<svg
class="w-3.5 h-3.5 text-yellow-400"
class="w-3.5 h-3.5 text-blue-400"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
@@ -2333,35 +1996,13 @@
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
d={infoIconPath}
/>
</svg>
<span class="text-[10px] font-mono text-yellow-200"
>RDMA NOT ENABLED</span
<span class="text-[10px] font-mono text-blue-200">RDMA AVAILABLE</span
>
</div>
{/if}
{#if macStudioEn2RdmaWarning && !macStudioEn2Dismissed}
<div
class="flex items-center gap-1.5 px-2 py-1 rounded border border-red-500/50 bg-red-500/10 backdrop-blur-sm"
title="Mac Studio RDMA incompatible port (en2) — move cable to another TB5 port"
>
<svg
class="w-3.5 h-3.5 text-red-400"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
/>
</svg>
<span class="text-[10px] font-mono text-red-200">BAD RDMA PORT</span>
</div>
{/if}
</div>
{/if}
{/snippet}
@@ -2435,19 +2076,38 @@
{@render clusterWarnings()}
<!-- TB5 RDMA Not Enabled Warning -->
<!-- TB5 RDMA Available Info -->
{#if tb5WithoutRdma && !tb5InfoDismissed}
<div
class="absolute left-4 group"
class="absolute left-4 flex items-center gap-2 px-3 py-2 rounded border border-blue-400/50 bg-blue-400/10 backdrop-blur-sm"
class:top-16={tbBridgeCycles.length > 0}
class:top-4={tbBridgeCycles.length === 0}
role="status"
>
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-yellow-500/50 bg-yellow-500/10 backdrop-blur-sm cursor-help"
<svg
class="w-5 h-5 text-blue-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"
/>
</svg>
<span class="text-sm font-mono text-blue-200">
RDMA AVAILABLE
</span>
<button
type="button"
onclick={() => (tb5InfoDismissed = true)}
class="ml-1 text-blue-300/60 hover:text-blue-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-5 h-5 text-yellow-400 flex-shrink-0"
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
@@ -2456,61 +2116,10 @@
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
d="M6 18L18 6M6 6l12 12"
/>
</svg>
<span class="text-sm font-mono text-yellow-200">
RDMA NOT ENABLED
</span>
<button
type="button"
onclick={() => (tb5InfoDismissed = true)}
class="ml-1 text-yellow-300/60 hover:text-yellow-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
class="w-4 h-4"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
stroke-width="2"
>
<path
stroke-linecap="round"
stroke-linejoin="round"
d="M6 18L18 6M6 6l12 12"
/>
</svg>
</button>
</div>
<!-- Tooltip on hover -->
<div
class="absolute top-full left-0 mt-2 w-80 p-3 rounded border border-yellow-500/30 bg-exo-dark-gray/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
>
<p class="text-xs text-white/80 mb-2">
Thunderbolt 5 hardware detected on multiple nodes. Enable RDMA
for significantly faster inter-node communication.
</p>
<p class="text-xs text-white/60 mb-1.5">
<span class="text-yellow-300">To enable:</span>
</p>
<ol
class="text-xs text-white/60 list-decimal list-inside space-y-0.5 mb-1.5"
>
<li>Connect nodes with TB5 cables</li>
<li>Boot to Recovery (hold power 10s → Options)</li>
<li>
Run
<code class="text-yellow-300 bg-yellow-400/10 px-1 rounded"
>rdma_ctl enable</code
>
</li>
<li>Reboot</li>
</ol>
<p class="text-xs text-white/40">
Requires macOS 26.2+, TB5 cables, and matching OS versions.
</p>
</div>
</button>
</div>
{/if}
@@ -2559,7 +2168,7 @@
{@render clusterWarnings()}
<!-- TB5 RDMA Not Enabled Warning -->
<!-- TB5 RDMA Available Info -->
{#if tb5WithoutRdma && !tb5InfoDismissed}
<div
class="absolute left-4 group"
@@ -2568,10 +2177,10 @@
role="status"
>
<div
class="flex items-center gap-2 px-3 py-2 rounded border border-yellow-500/50 bg-yellow-500/10 backdrop-blur-sm cursor-help"
class="flex items-center gap-2 px-3 py-2 rounded border border-blue-400/50 bg-blue-400/10 backdrop-blur-sm"
>
<svg
class="w-5 h-5 text-yellow-400 flex-shrink-0"
class="w-5 h-5 text-blue-400 flex-shrink-0"
fill="none"
viewBox="0 0 24 24"
stroke="currentColor"
@@ -2580,16 +2189,16 @@
<path
stroke-linecap="round"
stroke-linejoin="round"
d={warningIconPath}
d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"
/>
</svg>
<span class="text-sm font-mono text-yellow-200">
RDMA NOT ENABLED
<span class="text-sm font-mono text-blue-200">
RDMA AVAILABLE
</span>
<button
type="button"
onclick={() => (tb5InfoDismissed = true)}
class="ml-1 text-yellow-300/60 hover:text-yellow-200 transition-colors cursor-pointer"
class="ml-1 text-blue-300/60 hover:text-blue-200 transition-colors cursor-pointer"
title="Dismiss"
>
<svg
@@ -2610,14 +2219,14 @@
<!-- Tooltip on hover -->
<div
class="absolute top-full left-0 mt-2 w-80 p-3 rounded border border-yellow-500/30 bg-exo-dark-gray/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
class="absolute top-full left-0 mt-2 w-80 p-3 rounded border border-blue-400/30 bg-exo-dark-gray/95 backdrop-blur-sm opacity-0 invisible group-hover:opacity-100 group-hover:visible transition-all duration-200 z-50 shadow-lg"
>
<p class="text-xs text-white/80 mb-2">
Thunderbolt 5 hardware detected on multiple nodes. Enable
RDMA for significantly faster inter-node communication.
</p>
<p class="text-xs text-white/60 mb-1.5">
<span class="text-yellow-300">To enable:</span>
<span class="text-blue-300">To enable:</span>
</p>
<ol
class="text-xs text-white/60 list-decimal list-inside space-y-0.5 mb-1.5"
@@ -2626,8 +2235,7 @@
<li>Boot to Recovery (hold power 10s → Options)</li>
<li>
Run
<code
class="text-yellow-300 bg-yellow-400/10 px-1 rounded"
<code class="text-blue-300 bg-blue-400/10 px-1 rounded"
>rdma_ctl enable</code
>
</li>
File diff suppressed because it is too large Load Diff
+2 -1
View File
@@ -74,6 +74,7 @@
perSystem =
{ config, self', inputs', pkgs, lib, system, ... }:
let
fenixToolchain = inputs'.fenix.packages.complete;
# Use pinned nixpkgs for swift-format (swift is broken on x86_64-linux in newer nixpkgs)
pkgsSwift = import inputs.nixpkgs-swift { inherit system; };
in
@@ -114,7 +115,7 @@
packages = lib.optionalAttrs pkgs.stdenv.hostPlatform.isDarwin (
let
uvLock = builtins.fromTOML (builtins.readFile ./uv.lock);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx" && p.source ? git) uvLock.package);
mlxPackage = builtins.head (builtins.filter (p: p.name == "mlx") uvLock.package);
uvLockMlxVersion = mlxPackage.version;
in
{
+4 -4
View File
@@ -41,16 +41,16 @@ let
mlx = stdenv.mkDerivation rec {
pname = "mlx";
version = let v = "0.30.7.dev20260220+db176851"; in
version = let v = "0.30.6"; in
assert v == uvLockMlxVersion || throw "MLX version mismatch: nix/mlx.nix has ${v} but uv.lock has ${uvLockMlxVersion}. Update both the version and hash in nix/mlx.nix.";
v;
pyproject = true;
src = fetchFromGitHub {
owner = "exo-explore";
owner = "ml-explore";
repo = "mlx";
rev = "db176851b031631b414890d6bd31d3dfb2e82d25";
hash = "sha256-/76lKDMmAjs7Qqh9V0oIBoNPq1kv819JZ+UbVFF8pd4=";
tag = "v${version}";
hash = "sha256-avD5EGhwgmPdXLAyQSqTO6AXk/W3ziH+f6AetjK3Sdo=";
};
patches = [
+3 -4
View File
@@ -17,9 +17,9 @@ dependencies = [
"loguru>=0.7.3",
"exo_pyo3_bindings", # rust bindings
"anyio==4.11.0",
"mlx; sys_platform == 'darwin'",
"mlx==0.30.6; sys_platform == 'darwin'",
"mlx[cpu]==0.30.6; sys_platform == 'linux'",
"mlx-lm==0.30.7",
"mlx-lm==0.30.6",
"tiktoken>=0.12.0", # required for kimi k2 tokenizer
"hypercorn>=0.18.0",
"openai-harmony>=0.0.8",
@@ -64,7 +64,6 @@ members = [
[tool.uv.sources]
exo_pyo3_bindings = { workspace = true }
mlx = { git = "https://github.com/exo-explore/mlx.git", branch = "pipe-sidechannel", marker = "sys_platform == 'darwin'" }
#mlx-lm = { git = "https://github.com/davidmcc73/mlx-lm", branch = "stable" }
# Uncomment to use local mlx/mlx-lm development versions:
# mlx = { path = "/Users/Shared/mlx", editable=true }
@@ -133,7 +132,7 @@ markers = [
env = [
"EXO_TESTS=1"
]
addopts = "-m 'not slow' --ignore=tests/start_distributed_test.py"
addopts = "-m 'not slow'"
filterwarnings = [
"ignore:builtin type Swig:DeprecationWarning",
]
+3 -30
View File
@@ -58,21 +58,6 @@
lib.optionalAttrs pkgs.stdenv.hostPlatform.isLinux (
(lib.mapAttrs (_: ignoreMissing) nvidiaPackages) // {
mlx = ignoreMissing prev.mlx;
mlx-cuda-13 = prev.mlx-cuda-13.overrideAttrs (old: {
buildInputs = (old.buildInputs or [ ]) ++ [
final.nvidia-cublas
final.nvidia-cuda-nvrtc
final.nvidia-cudnn-cu13
final.nvidia-nccl-cu13
];
preFixup = ''
addAutoPatchelfSearchPath ${final.nvidia-cublas}
addAutoPatchelfSearchPath ${final.nvidia-cuda-nvrtc}
addAutoPatchelfSearchPath ${final.nvidia-cudnn-cu13}
addAutoPatchelfSearchPath ${final.nvidia-nccl-cu13}
'';
autoPatchelfIgnoreMissingDeps = [ "libcuda.so.1" ];
});
torch = ignoreMissing prev.torch;
triton = ignoreMissing prev.triton;
}
@@ -89,25 +74,14 @@
linuxOverlay
]
);
# mlx-cpu and mlx-cuda-13 both ship mlx/ site-packages files; keep first.
# mlx-cpu/mlx-cuda-13 and nvidia-cudnn-cu12/cu13 ship overlapping files.
venvCollisionPaths = lib.optionals pkgs.stdenv.hostPlatform.isLinux [
"lib/python3.13/site-packages/mlx*"
"lib/python3.13/site-packages/nvidia*"
];
exoVenv = (pythonSet.mkVirtualEnv "exo-env" workspace.deps.default).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
exoVenv = pythonSet.mkVirtualEnv "exo-env" workspace.deps.default;
# Virtual environment with dev dependencies for testing
testVenv = (pythonSet.mkVirtualEnv "exo-test-env" (
testVenv = pythonSet.mkVirtualEnv "exo-test-env" (
workspace.deps.default // {
exo = [ "dev" ]; # Include pytest, pytest-asyncio, pytest-env
}
)).overrideAttrs {
venvIgnoreCollisions = venvCollisionPaths;
};
);
mkPythonScript = name: path: pkgs.writeShellApplication {
inherit name;
@@ -158,7 +132,6 @@
exo-test-env = testVenv;
} // {
exo-bench = mkBenchScript "exo-bench" (inputs.self + /bench/exo_bench.py);
exo-eval-tool-calls = mkBenchScript "exo-eval-tool-calls" (inputs.self + /bench/eval_tool_calls.py);
exo-get-all-models-on-cluster = mkSimplePythonScript "exo-get-all-models-on-cluster" (inputs.self + /tests/get_all_models_on_cluster.py);
};
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "4bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 405874409472
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "deepseek"
quantization = "8bit"
base_model = "DeepSeek V3.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 765577920512
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 122406567936
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM 4.5 Air"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 229780750336
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 198556925568
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 286737579648
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 396963397248
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "4bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 19327352832
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "5bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 22548578304
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "6bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 26843545600
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM 4.7 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 34359738368
@@ -1,12 +0,0 @@
model_id = "mlx-community/GLM-5-8bit-MXFP8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "8bit"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 790517400864
@@ -1,12 +0,0 @@
model_id = "mlx-community/GLM-5-MXFP4-Q8"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "MXFP4-Q8"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 405478939008
@@ -1,12 +0,0 @@
model_id = "mlx-community/GLM-5"
n_layers = 78
hidden_size = 6144
supports_tensor = true
tasks = ["TextGeneration"]
family = "glm"
quantization = "bf16"
base_model = "GLM-5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 1487822475264
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 706522120192
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "kimi"
quantization = ""
base_model = "Kimi K2.5"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 662498705408
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "3bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 100086644736
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.1"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-4bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "4bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 128666664960
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-6bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "6bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 185826705408
@@ -1,12 +0,0 @@
model_id = "mlx-community/MiniMax-M2.5-8bit"
n_layers = 62
hidden_size = 3072
supports_tensor = true
tasks = ["TextGeneration"]
family = "minimax"
quantization = "8bit"
base_model = "MiniMax M2.5"
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 242986745856
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 342884352
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 0.6B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 698351616
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 141733920768
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 235B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 268435456000
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 17612931072
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 30B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 33279705088
@@ -3,10 +3,6 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 45644286500
@@ -3,10 +3,6 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "5bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 57657697020
@@ -3,10 +3,6 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "6bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 68899327465
@@ -3,10 +3,6 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 89357758772
@@ -3,10 +3,6 @@ n_layers = 48
hidden_size = 2048
supports_tensor = true
tasks = ["TextGeneration"]
family = "qwen"
quantization = "bf16"
base_model = "Qwen3 Coder Next"
capabilities = ["text", "code"]
[storage_size]
in_bytes = 157548627945
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "4bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 47080074240
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "qwen"
quantization = "8bit"
base_model = "Qwen3 Next 80B"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 88814387200
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "4bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 114572190076
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "6bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 159039627774
@@ -6,7 +6,7 @@ tasks = ["TextGeneration"]
family = "step"
quantization = "8bit"
base_model = "Step 3.5 Flash"
capabilities = ["text", "thinking", "thinking_toggle"]
capabilities = ["text", "thinking"]
[storage_size]
in_bytes = 209082699847
+10 -13
View File
@@ -26,11 +26,11 @@ networking = { workspace = true }
# interop
pyo3 = { version = "0.27.2", features = [
# "abi3-py313", # tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.13
"abi3-py313", # tells pyo3 (and maturin) to build using the stable ABI with minimum Python version 3.13
# "nightly", # enables better-supported GIL integration
"experimental-async", # async support in #[pyfunction] & #[pymethods]
#"experimental-inspect", # inspection of generated binary => easier to automate type-hint generation
#"py-clone", # adding Clone-ing of `Py<T>` without GIL (may cause panics - remove if panics happen)
"experimental-async" # async support in #[pyfunction] & #[pymethods]
# "experimental-inspect", # inspection of generated binary => easier to automate type-hint generation
# "py-clone", # adding Clone-ing of `Py<T>` without GIL (may cause panics - remove if panics happen)
# "multiple-pymethods", # allows multiple #[pymethods] sections per class
# integrations with other libraries
@@ -42,21 +42,18 @@ pyo3-stub-gen = { version = "0.17.2" }
pyo3-async-runtimes = { version = "0.27.0", features = ["attributes", "tokio-runtime", "testing"] }
pyo3-log = "0.13.2"
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
# async runtime
tokio = { workspace = true, features = ["full", "tracing"] }
futures-lite = { workspace = true }
# utility dependencies
util = { workspace = true }
futures-lite = "2.6.1"
# Tracing
#tracing = "0.1"
#tracing-subscriber = "0.3"
#console-subscriber = "0.1.5"
#tracing-log = "0.2.0"
log = { workspace = true }
env_logger = "0.11"
# Networking
libp2p = { workspace = true, features = ["full"] }
pin-project = "1.1.10"
+18 -98
View File
@@ -2,119 +2,39 @@
# ruff: noqa: E501, F401
import builtins
import enum
import typing
@typing.final
class AllQueuesFullError(builtins.Exception):
def __new__(cls, *args: typing.Any) -> AllQueuesFullError: ...
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class ConnectionUpdate:
@property
def update_type(self) -> ConnectionUpdateType:
r"""
Whether this is a connection or disconnection event
"""
@property
def peer_id(self) -> builtins.str:
r"""
Identity of the peer that we have connected to or disconnected from.
"""
@property
def remote_ipv4(self) -> builtins.str:
r"""
Remote connection's IPv4 address.
"""
@property
def remote_tcp_port(self) -> builtins.int:
r"""
Remote connection's TCP port.
"""
@typing.final
class Keypair:
r"""
Identity keypair of a node.
"""
@staticmethod
def generate() -> Keypair:
r"""
Generate a new Ed25519 keypair.
Generate a new ed25519 keypair
"""
@staticmethod
def from_bytes(bytes: bytes) -> Keypair:
def from_protobuf_encoding(bytes: bytes) -> Keypair:
r"""
Construct an Ed25519 keypair from secret key bytes
Decode a private key from a protobuf structure and parse it as a `Keypair`.
"""
def to_bytes(self) -> bytes:
def to_protobuf_encoding(self) -> bytes:
r"""
Get the secret key bytes underlying the keypair
"""
def to_node_id(self) -> builtins.str:
r"""
Convert the `Keypair` into the corresponding `PeerId` string, which we use as our `NodeId`.
Encode a private key to a protobuf structure.
"""
def to_string(self) -> builtins.str: ...
@typing.final
class NetworkingHandle:
def __new__(cls, identity: Keypair) -> NetworkingHandle: ...
async def connection_update_recv(self) -> ConnectionUpdate:
r"""
Receives the next `ConnectionUpdate` from networking.
"""
async def connection_update_recv_many(self, limit: builtins.int) -> builtins.list[ConnectionUpdate]:
r"""
Receives at most `limit` `ConnectionUpdate`s from networking and returns them.
For `limit = 0`, an empty collection of `ConnectionUpdate`s will be returned immediately.
For `limit > 0`, if there are no `ConnectionUpdate`s in the channel's queue this method
will sleep until a `ConnectionUpdate`s is sent.
"""
async def gossipsub_subscribe(self, topic: builtins.str) -> builtins.bool:
r"""
Subscribe to a `GossipSub` topic.
Returns `True` if the subscription worked. Returns `False` if we were already subscribed.
"""
async def gossipsub_unsubscribe(self, topic: builtins.str) -> builtins.bool:
r"""
Unsubscribes from a `GossipSub` topic.
Returns `True` if we were subscribed to this topic. Returns `False` if we were not subscribed.
"""
async def gossipsub_publish(self, topic: builtins.str, data: bytes) -> None:
r"""
Publishes a message with multiple topics to the `GossipSub` network.
If no peers are found that subscribe to this topic, throws `NoPeersSubscribedToTopicError` exception.
"""
async def gossipsub_recv(self) -> tuple[builtins.str, bytes]:
r"""
Receives the next message from the `GossipSub` network.
"""
async def gossipsub_recv_many(self, limit: builtins.int) -> builtins.list[tuple[builtins.str, bytes]]:
r"""
Receives at most `limit` messages from the `GossipSub` network and returns them.
For `limit = 0`, an empty collection of messages will be returned immediately.
For `limit > 0`, if there are no messages in the channel's queue this method
will sleep until a message is sent.
"""
class PyPeer:
@staticmethod
def new(kp: Keypair, namespace: builtins.str) -> PyPeer: ...
async def subscribe(self, topic: builtins.str) -> None: ...
async def unsubscribe(self, topic: builtins.str) -> None: ...
async def send(self, topic: builtins.str, payload: bytes) -> None: ...
async def run(self) -> None: ...
async def recv(self) -> PySwarmEvent: ...
@typing.final
class NoPeersSubscribedToTopicError(builtins.Exception):
def __new__(cls, *args: typing.Any) -> NoPeersSubscribedToTopicError: ...
def __repr__(self) -> builtins.str: ...
def __str__(self) -> builtins.str: ...
@typing.final
class ConnectionUpdateType(enum.Enum):
r"""
Connection or disconnection event discriminant type.
"""
Connected = ...
Disconnected = ...
class PySwarmEvent:
def downcast_discovered(self) -> typing.Optional[builtins.str]: ...
def downcast_expired(self) -> typing.Optional[builtins.str]: ...
def downcast_message(self) -> typing.Optional[tuple[builtins.str, builtins.str, bytes]]: ...
+6 -21
View File
@@ -1,37 +1,22 @@
//! SEE: https://pyo3.rs/v0.26.0/async-await.html#detaching-from-the-interpreter-across-await
//!
use pin_project::pin_project;
//! See: <https://pyo3.rs/v0.27.2/async-await.html#detaching-from-the-interpreter-across-await>
use pyo3::prelude::*;
use std::{
future::Future,
pin::Pin,
pin::{Pin, pin},
task::{Context, Poll},
};
/// SEE: https://pyo3.rs/v0.26.0/async-await.html#detaching-from-the-interpreter-across-await
#[pin_project]
#[repr(transparent)]
pub(crate) struct AllowThreads<F>(#[pin] F);
impl<F> AllowThreads<F>
where
Self: Future,
{
pub fn new(f: F) -> Self {
Self(f)
}
}
pub struct AllowThreads<F>(pub(crate) F);
impl<F> Future for AllowThreads<F>
where
F: Future + Send,
F: Future + Unpin + Send,
F::Output: Send,
{
type Output = F::Output;
fn poll(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
fn poll(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Self::Output> {
let waker = cx.waker();
Python::attach(|py| py.detach(|| self.project().0.poll(&mut Context::from_waker(waker))))
Python::attach(|py| py.detach(|| pin!(&mut self.0).poll(&mut Context::from_waker(waker))))
}
}
-47
View File
@@ -1,47 +0,0 @@
use crate::ext::ResultExt as _;
use libp2p::identity::Keypair;
use pyo3::types::{PyBytes, PyBytesMethods as _};
use pyo3::{Bound, PyResult, Python, pyclass, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pymethods};
/// Identity keypair of a node.
#[gen_stub_pyclass]
#[pyclass(name = "Keypair", frozen)]
#[repr(transparent)]
pub struct PyKeypair(pub Keypair);
#[gen_stub_pymethods]
#[pymethods]
#[allow(clippy::needless_pass_by_value)]
impl PyKeypair {
/// Generate a new Ed25519 keypair.
#[staticmethod]
fn generate() -> Self {
Self(Keypair::generate_ed25519())
}
/// Construct an Ed25519 keypair from secret key bytes
#[staticmethod]
fn from_bytes(bytes: Bound<'_, PyBytes>) -> PyResult<Self> {
let mut bytes = Vec::from(bytes.as_bytes());
Ok(Self(Keypair::ed25519_from_bytes(&mut bytes).pyerr()?))
}
/// Get the secret key bytes underlying the keypair
fn to_bytes<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
let bytes = self
.0
.clone()
.try_into_ed25519()
.pyerr()?
.secret()
.as_ref()
.to_vec();
Ok(PyBytes::new(py, &bytes))
}
/// Convert the `Keypair` into the corresponding `PeerId` string, which we use as our `NodeId`.
fn to_node_id(&self) -> String {
self.0.public().to_peer_id().to_base58()
}
}
+27 -155
View File
@@ -1,170 +1,42 @@
//! TODO: crate documentation
//!
//! this is here as a placeholder documentation
//!
//!
pub(crate) mod allow_threading;
mod allow_threading;
mod ident;
mod networking;
pub(crate) mod networking;
pub(crate) mod take_once {
use std::sync::Mutex;
pub struct TakeOnce<T>(Mutex<Option<T>>);
impl<T> TakeOnce<T> {
pub fn new(t: T) -> Self {
Self(Mutex::new(Some(t)))
}
pub fn take(&self) -> Option<T> {
match self.0.try_lock() {
Ok(mut o) => o.take(),
Err(_) => None,
}
}
}
}
use pyo3::prelude::*;
use crate::ident::PyKeypair;
use crate::networking::networking_submodule;
use pyo3::prelude::PyModule;
use pyo3::types::PyModuleMethods;
use pyo3::{Bound, PyResult, pyclass, pymodule};
use pyo3_stub_gen::define_stub_info_gatherer;
/// Namespace for all the constants used by this crate.
pub(crate) mod r#const {
pub const MPSC_CHANNEL_SIZE: usize = 1024;
}
/// Namespace for crate-wide extension traits/methods
pub(crate) mod ext {
use crate::allow_threading::AllowThreads;
use extend::ext;
use pyo3::exceptions::{PyConnectionError, PyRuntimeError};
use pyo3::types::PyBytes;
use pyo3::{Py, PyErr, PyResult, Python};
use tokio::runtime::Runtime;
use tokio::sync::mpsc;
use tokio::sync::mpsc::error::TryRecvError;
use tokio::task::JoinHandle;
#[ext(pub, name = ByteArrayExt)]
impl [u8] {
fn pybytes(&self) -> Py<PyBytes> {
Python::attach(|py| PyBytes::new(py, self).unbind())
}
}
#[ext(pub, name = ResultExt)]
impl<T, E> Result<T, E>
where
E: ToString,
{
fn pyerr(self) -> PyResult<T> {
self.map_err(|e| PyRuntimeError::new_err(e.to_string()))
}
}
pub trait FutureExt: Future + Sized {
/// SEE: https://pyo3.rs/v0.26.0/async-await.html#detaching-from-the-interpreter-across-await
fn allow_threads_py(self) -> AllowThreads<Self>
where
AllowThreads<Self>: Future,
{
AllowThreads::new(self)
}
}
impl<T: Future> FutureExt for T {}
#[ext(pub, name = PyErrExt)]
impl PyErr {
fn receiver_channel_closed() -> Self {
PyConnectionError::new_err("Receiver channel closed unexpectedly")
}
}
#[ext(pub, name = PyResultExt)]
impl<T> PyResult<T> {
fn write_unraisable(self) -> Option<T> {
Python::attach(|py| self.write_unraisable_with(py))
}
fn write_unraisable_with(self, py: Python<'_>) -> Option<T> {
match self {
Ok(v) => Some(v),
Err(e) => {
// write error back to python
e.write_unraisable(py, None);
None
}
}
}
}
#[ext(pub, name = TokioRuntimeExt)]
impl Runtime {
fn spawn_with_scope<F>(&self, py: Python<'_>, future: F) -> PyResult<JoinHandle<F::Output>>
where
F: Future + Send + 'static,
F::Output: Send + 'static,
{
let locals = pyo3_async_runtimes::tokio::get_current_locals(py)?;
Ok(self.spawn(pyo3_async_runtimes::tokio::scope(locals, future)))
}
}
#[ext(pub, name = TokioMpscSenderExt)]
impl<T> mpsc::Sender<T> {
/// Sends a value, waiting until there is capacity.
///
/// A successful send occurs when it is determined that the other end of the
/// channel has not hung up already. An unsuccessful send would be one where
/// the corresponding receiver has already been closed.
async fn send_py(&self, value: T) -> PyResult<()> {
self.send(value)
.await
.map_err(|_| PyErr::receiver_channel_closed())
}
}
#[ext(pub, name = TokioMpscReceiverExt)]
impl<T> mpsc::Receiver<T> {
/// Receives the next value for this receiver.
async fn recv_py(&mut self) -> PyResult<T> {
self.recv().await.ok_or_else(PyErr::receiver_channel_closed)
}
/// Receives at most `limit` values for this receiver and returns them.
///
/// For `limit = 0`, an empty collection of messages will be returned immediately.
/// For `limit > 0`, if there are no messages in the channel's queue this method
/// will sleep until a message is sent.
async fn recv_many_py(&mut self, limit: usize) -> PyResult<Vec<T>> {
// get updates from receiver channel
let mut updates = Vec::with_capacity(limit);
let received = self.recv_many(&mut updates, limit).await;
// if we received zero items, then the channel was unexpectedly closed
if limit != 0 && received == 0 {
return Err(PyErr::receiver_channel_closed());
}
Ok(updates)
}
/// Tries to receive the next value for this receiver.
fn try_recv_py(&mut self) -> PyResult<Option<T>> {
match self.try_recv() {
Ok(v) => Ok(Some(v)),
Err(TryRecvError::Empty) => Ok(None),
Err(TryRecvError::Disconnected) => Err(PyErr::receiver_channel_closed()),
}
}
}
}
/// A Python module implemented in Rust. The name of this function must match
/// the `lib.name` setting in the `Cargo.toml`, else Python will not be able to
/// import the module.
#[pymodule(name = "exo_pyo3_bindings")]
fn main_module(m: &Bound<'_, PyModule>) -> PyResult<()> {
pub fn networking_module(m: &Bound<'_, PyModule>) -> PyResult<()> {
// install logger
pyo3_log::init();
// setup runtime
let mut builder = tokio::runtime::Builder::new_multi_thread();
builder.enable_all();
pyo3_async_runtimes::tokio::init(builder);
// TODO: for now this is all NOT a submodule, but figure out how to make the submodule system
// work with maturin, where the types generate correctly, in the right folder, without
// too many importing issues...
m.add_class::<PyKeypair>()?;
networking_submodule(m)?;
// top-level constructs
// TODO: ...
m.add_class::<networking::PyPeer>()?;
m.add_class::<networking::PyKeypair>()?;
Ok(())
}
+187 -544
View File
@@ -1,571 +1,214 @@
#![allow(
clippy::multiple_inherent_impl,
clippy::unnecessary_wraps,
clippy::unused_self,
clippy::needless_pass_by_value
)]
use crate::allow_threading::AllowThreads;
use crate::take_once::TakeOnce;
use crate::r#const::MPSC_CHANNEL_SIZE;
use crate::ext::{ByteArrayExt as _, FutureExt, PyErrExt as _};
use crate::ext::{ResultExt as _, TokioMpscReceiverExt as _, TokioMpscSenderExt as _};
use crate::ident::PyKeypair;
use crate::pyclass;
use libp2p::futures::StreamExt as _;
use libp2p::gossipsub;
use libp2p::gossipsub::{IdentTopic, Message, MessageId, PublishError};
use libp2p::swarm::SwarmEvent;
use networking::discovery;
use networking::swarm::create_swarm;
use pyo3::prelude::{PyModule, PyModuleMethods as _};
use pyo3::types::PyBytes;
use pyo3::{Bound, Py, PyErr, PyResult, PyTraverseError, PyVisit, Python, pymethods};
use pyo3_stub_gen::derive::{gen_stub_pyclass, gen_stub_pyclass_enum, gen_stub_pymethods};
use std::net::IpAddr;
use tokio::sync::{Mutex, mpsc, oneshot};
use std::pin::pin;
mod exception {
use pyo3::types::PyTuple;
use pyo3::{exceptions::PyException, prelude::*};
use pyo3_stub_gen::derive::*;
#[gen_stub_pyclass]
#[pyclass(frozen, extends=PyException, name="NoPeersSubscribedToTopicError")]
pub struct PyNoPeersSubscribedToTopicError {}
impl PyNoPeersSubscribedToTopicError {
const MSG: &'static str = "\
No peers are currently subscribed to receive messages on this topic. \
Wait for peers to subscribe or check your network connectivity.";
/// Creates a new [ `PyErr` ] of this type.
///
/// [`PyErr`] : https://docs.rs/pyo3/latest/pyo3/struct.PyErr.html "PyErr in pyo3"
pub(crate) fn new_err() -> PyErr {
PyErr::new::<Self, _>(()) // TODO: check if this needs to be replaced???
}
}
#[gen_stub_pymethods]
#[pymethods]
impl PyNoPeersSubscribedToTopicError {
#[new]
#[pyo3(signature = (*args))]
#[allow(unused_variables)]
pub(crate) fn new(args: &Bound<'_, PyTuple>) -> Self {
Self {}
}
fn __repr__(&self) -> String {
format!("PeerId(\"{}\")", Self::MSG)
}
fn __str__(&self) -> String {
Self::MSG.to_string()
}
}
#[gen_stub_pyclass]
#[pyclass(frozen, extends=PyException, name="AllQueuesFullError")]
pub struct PyAllQueuesFullError {}
impl PyAllQueuesFullError {
const MSG: &'static str =
"All libp2p peers are unresponsive, resend the message or reconnect.";
/// Creates a new [ `PyErr` ] of this type.
///
/// [`PyErr`] : https://docs.rs/pyo3/latest/pyo3/struct.PyErr.html "PyErr in pyo3"
pub(crate) fn new_err() -> PyErr {
PyErr::new::<Self, _>(()) // TODO: check if this needs to be replaced???
}
}
#[gen_stub_pymethods]
#[pymethods]
impl PyAllQueuesFullError {
#[new]
#[pyo3(signature = (*args))]
#[allow(unused_variables)]
pub(crate) fn new(args: &Bound<'_, PyTuple>) -> Self {
Self {}
}
fn __repr__(&self) -> String {
format!("PeerId(\"{}\")", Self::MSG)
}
fn __str__(&self) -> String {
Self::MSG.to_string()
}
}
}
/// Connection or disconnection event discriminant type.
#[gen_stub_pyclass_enum]
#[pyclass(eq, eq_int, name = "ConnectionUpdateType")]
#[derive(Debug, Clone, PartialEq)]
enum PyConnectionUpdateType {
Connected = 0,
Disconnected,
}
use futures_lite::FutureExt;
use libp2p::{gossipsub::PublishError, identity::Keypair};
use networking::{FromSwarm, Peer, ToSwarm};
use pyo3::{
coroutine::CancelHandle,
exceptions::{PyConnectionError, PyRuntimeError, PyValueError},
prelude::*,
types::PyBytes,
};
use pyo3_stub_gen::{
derive::{gen_methods_from_python, gen_stub_pyclass, gen_stub_pymethods},
inventory::submit,
};
use tokio::sync::{Mutex, mpsc};
#[gen_stub_pyclass]
#[pyclass(frozen, name = "ConnectionUpdate")]
#[derive(Debug, Clone)]
struct PyConnectionUpdate {
/// Whether this is a connection or disconnection event
#[pyo3(get)]
update_type: PyConnectionUpdateType,
#[pyclass(name = "Keypair", frozen)]
#[derive(Clone)]
pub struct PyKeypair(Keypair);
/// Identity of the peer that we have connected to or disconnected from.
#[pyo3(get)]
peer_id: String,
#[gen_stub_pymethods]
#[pymethods]
impl PyKeypair {
/// Generate a new ed25519 keypair
#[staticmethod]
fn generate() -> Self {
Self(Keypair::generate_ed25519())
}
/// Remote connection's IPv4 address.
#[pyo3(get)]
remote_ipv4: String,
/// Decode a private key from a protobuf structure and parse it as a `Keypair`.
#[staticmethod]
fn from_protobuf_encoding(bytes: &Bound<'_, PyBytes>) -> Self {
let bytes = Vec::from(bytes.as_bytes());
Self(Keypair::from_protobuf_encoding(&bytes).expect("todo"))
}
/// Remote connection's TCP port.
#[pyo3(get)]
remote_tcp_port: u16,
}
enum ToTask {
GossipsubSubscribe {
topic: String,
result_tx: oneshot::Sender<PyResult<bool>>,
},
GossipsubUnsubscribe {
topic: String,
result_tx: oneshot::Sender<bool>,
},
GossipsubPublish {
topic: String,
data: Vec<u8>,
result_tx: oneshot::Sender<PyResult<MessageId>>,
},
}
#[allow(clippy::enum_glob_use)]
async fn networking_task(
mut swarm: networking::swarm::Swarm,
mut to_task_rx: mpsc::Receiver<ToTask>,
connection_update_tx: mpsc::Sender<PyConnectionUpdate>,
gossipsub_message_tx: mpsc::Sender<(String, Vec<u8>)>,
) {
use SwarmEvent::*;
use ToTask::*;
use networking::swarm::BehaviourEvent::*;
log::info!("RUST: networking task started");
loop {
tokio::select! {
message = to_task_rx.recv() => {
// handle closed channel
let Some(message) = message else {
log::info!("RUST: channel closed");
break;
};
// dispatch incoming messages
match message {
GossipsubSubscribe { topic, result_tx } => {
// try to subscribe
let result = swarm.behaviour_mut()
.gossipsub.subscribe(&IdentTopic::new(topic));
// send response oneshot
if let Err(e) = result_tx.send(result.pyerr()) {
log::error!("RUST: could not subscribe to gossipsub topic since channel already closed: {e:?}");
continue;
}
}
GossipsubUnsubscribe { topic, result_tx } => {
// try to unsubscribe from the topic
let result = swarm.behaviour_mut()
.gossipsub.unsubscribe(&IdentTopic::new(topic));
// send response oneshot (or exit if connection closed)
if let Err(e) = result_tx.send(result) {
log::error!("RUST: could not unsubscribe from gossipsub topic since channel already closed: {e:?}");
continue;
}
}
GossipsubPublish { topic, data, result_tx } => {
// try to publish the data -> catch NoPeersSubscribedToTopic error & convert to correct exception
let result = swarm.behaviour_mut().gossipsub.publish(
IdentTopic::new(topic), data);
let pyresult: PyResult<MessageId> = if let Err(PublishError::NoPeersSubscribedToTopic) = result {
Err(exception::PyNoPeersSubscribedToTopicError::new_err())
} else if let Err(PublishError::AllQueuesFull(_)) = result {
Err(exception::PyAllQueuesFullError::new_err())
} else {
result.pyerr()
};
// send response oneshot (or exit if connection closed)
if let Err(e) = result_tx.send(pyresult) {
log::error!("RUST: could not publish gossipsub message since channel already closed: {e:?}");
continue;
}
}
}
}
// architectural solution to this problem:
// create keep_alive behavior who's job it is to dial peers discovered by mDNS (and drop when expired)
// -> it will emmit TRUE connected/disconnected events consumable elsewhere
//
// gossipsub will feed off-of dial attempts created by networking, and that will bootstrap its' peers list
// then for actual communication it will dial those peers if need-be
swarm_event = swarm.select_next_some() => {
match swarm_event {
Behaviour(Gossipsub(gossipsub::Event::Message {
message: Message {
topic,
data,
..
},
..
})) => {
// topic-ID is just the topic hash!!! (since we used identity hasher)
let message = (topic.into_string(), data);
// send incoming message to channel (or exit if connection closed)
if let Err(e) = gossipsub_message_tx.send(message).await {
log::error!("RUST: could not send incoming gossipsub message since channel already closed: {e}");
continue;
}
},
Behaviour(Discovery(discovery::Event::ConnectionEstablished { peer_id, remote_ip, remote_tcp_port, .. })) => {
// grab IPv4 string
let remote_ipv4 = match remote_ip {
IpAddr::V4(ip) => ip.to_string(),
IpAddr::V6(ip) => {
log::warn!("RUST: ignoring connection to IPv6 address: {ip}");
continue;
}
};
// send connection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Connected,
peer_id: peer_id.to_base58(),
remote_ipv4,
remote_tcp_port,
}).await {
log::error!("RUST: could not send connection update since channel already closed: {e}");
continue;
}
},
Behaviour(Discovery(discovery::Event::ConnectionClosed { peer_id, remote_ip, remote_tcp_port, .. })) => {
// grab IPv4 string
let remote_ipv4 = match remote_ip {
IpAddr::V4(ip) => ip.to_string(),
IpAddr::V6(ip) => {
log::warn!("RUST: ignoring disconnection from IPv6 address: {ip}");
continue;
}
};
// send disconnection event to channel (or exit if connection closed)
if let Err(e) = connection_update_tx.send(PyConnectionUpdate {
update_type: PyConnectionUpdateType::Disconnected,
peer_id: peer_id.to_base58(),
remote_ipv4,
remote_tcp_port,
}).await {
log::error!("RUST: could not send connection update since channel already closed: {e}");
continue;
}
},
e => {
log::info!("RUST: other event {e:?}");
}
}
}
/// Encode a private key to a protobuf structure.
fn to_protobuf_encoding<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyBytes>> {
match self.0.to_protobuf_encoding() {
Ok(bytes) => Ok(PyBytes::new(py, &bytes)),
Err(e) => Err(PyValueError::new_err(e.to_string())),
}
}
log::info!("RUST: networking task stopped");
fn to_string(&self) -> String {
self.0.public().to_peer_id().to_base58()
}
}
struct PeerBuilder(
String,
Keypair,
mpsc::Sender<FromSwarm>,
mpsc::Receiver<ToSwarm>,
);
#[gen_stub_pyclass]
#[pyclass(name = "NetworkingHandle")]
#[derive(Debug)]
struct PyNetworkingHandle {
// channels
to_task_tx: Option<mpsc::Sender<ToTask>>,
connection_update_rx: Mutex<mpsc::Receiver<PyConnectionUpdate>>,
gossipsub_message_rx: Mutex<mpsc::Receiver<(String, Vec<u8>)>>,
}
impl Drop for PyNetworkingHandle {
fn drop(&mut self) {
// TODO: may or may not need to await a "kill-signal" oneshot channel message,
// to ensure that the networking task is done BEFORE exiting the clear function...
// but this may require GIL?? and it may not be safe to call GIL here??
self.to_task_tx = None; // Using Option<T> as a trick to force channel to be dropped
}
}
#[allow(clippy::expect_used)]
impl PyNetworkingHandle {
fn new(
to_task_tx: mpsc::Sender<ToTask>,
connection_update_rx: mpsc::Receiver<PyConnectionUpdate>,
gossipsub_message_rx: mpsc::Receiver<(String, Vec<u8>)>,
) -> Self {
Self {
to_task_tx: Some(to_task_tx),
connection_update_rx: Mutex::new(connection_update_rx),
gossipsub_message_rx: Mutex::new(gossipsub_message_rx),
}
}
const fn to_task_tx(&self) -> &mpsc::Sender<ToTask> {
self.to_task_tx
.as_ref()
.expect("The sender should only be None after de-initialization.")
}
#[pyclass]
pub struct PyPeer {
peer: TakeOnce<PeerBuilder>,
to_swarm: mpsc::Sender<ToSwarm>,
from_swarm: Mutex<mpsc::Receiver<FromSwarm>>,
}
#[gen_stub_pymethods]
#[pymethods]
impl PyNetworkingHandle {
// NOTE: `async fn`s here that use `.await` will wrap the future in `.allow_threads_py()`
// immediately beforehand to release the interpreter.
// SEE: https://pyo3.rs/v0.26.0/async-await.html#detaching-from-the-interpreter-across-await
// ---- Lifecycle management methods ----
#[new]
fn py_new(identity: Bound<'_, PyKeypair>) -> PyResult<Self> {
use pyo3_async_runtimes::tokio::get_runtime;
// create communication channels
let (to_task_tx, to_task_rx) = mpsc::channel(MPSC_CHANNEL_SIZE);
let (connection_update_tx, connection_update_rx) = mpsc::channel(MPSC_CHANNEL_SIZE);
let (gossipsub_message_tx, gossipsub_message_rx) = mpsc::channel(MPSC_CHANNEL_SIZE);
// get identity
let identity = identity.borrow().0.clone();
// create networking swarm (within tokio context!! or it crashes)
let swarm = get_runtime()
.block_on(async { create_swarm(identity) })
.pyerr()?;
// spawn tokio task running the networking logic
get_runtime().spawn(async move {
networking_task(
swarm,
to_task_rx,
connection_update_tx,
gossipsub_message_tx,
)
.await;
});
Ok(Self::new(
to_task_tx,
connection_update_rx,
gossipsub_message_rx,
))
impl PyPeer {
#[staticmethod]
fn new(kp: PyKeypair, namespace: String) -> PyResult<Self> {
let (to_client, from_swarm) = mpsc::channel(1024);
let (to_swarm, from_client) = mpsc::channel(1024);
Ok(Self {
peer: TakeOnce::new(PeerBuilder(namespace, kp.0, to_client, from_client)),
to_swarm,
from_swarm: Mutex::new(from_swarm),
})
}
#[gen_stub(skip)]
const fn __traverse__(&self, _visit: PyVisit<'_>) -> Result<(), PyTraverseError> {
Ok(()) // This is needed purely so `__clear__` can work
async fn run(&self, #[pyo3(cancel_handle)] mut cancel: CancelHandle) -> PyResult<()> {
let builder = self
.peer
.take()
.ok_or_else(|| PyRuntimeError::new_err("tried to run peer twice"))?;
let jh = pyo3_async_runtimes::tokio::get_runtime()
.spawn(async move {
let mut peer =
Peer::new(builder.0, builder.1, builder.2, builder.3).map_err(|_| {
PyConnectionError::new_err("peer failed to listen on default address")
})?;
peer.run()
.await
.map_err(|()| PyConnectionError::new_err("peer communication closed"))
})
.or(async {
cancel.cancelled().await;
Ok(Ok(()))
});
match AllowThreads(pin!(jh)).await {
Err(e) if e.is_cancelled() => Ok(()),
Err(e) if e.is_panic() => Err(PyRuntimeError::new_err(format!("tokio panic {e}"))),
Err(_) => unreachable!(),
Ok(res) => res,
}
}
async fn subscribe(&self, topic: String) -> PyResult<()> {
self.to_swarm
.send(ToSwarm::Subscribe(topic))
.await
.map_err(|_| PyRuntimeError::new_err("swarm communication closed"))
}
async fn unsubscribe(&self, topic: String) -> PyResult<()> {
self.to_swarm
.send(ToSwarm::Unsubscribe(topic))
.await
.map_err(|_| PyRuntimeError::new_err("swarm communication closed"))
}
async fn send(&self, topic: String, payload: Py<PyBytes>) -> PyResult<()> {
// this function attaches to the python interpreter synchronously to avoid holding the GIL
let bytes = Python::attach(|py| Vec::from(payload.bind(py).as_bytes()));
self.to_swarm
.send(ToSwarm::Message(topic, bytes))
.await
.map_err(|_| PyRuntimeError::new_err("swarm communication closed"))
}
#[gen_stub(skip)]
fn __clear__(&mut self) {
// TODO: may or may not need to await a "kill-signal" oneshot channel message,
// to ensure that the networking task is done BEFORE exiting the clear function...
// but this may require GIL?? and it may not be safe to call GIL here??
self.to_task_tx = None; // Using Option<T> as a trick to force channel to be dropped
async fn recv(
&self,
#[pyo3(cancel_handle)] mut cancel: CancelHandle,
) -> PyResult<PySwarmEvent> {
loop {
return match AllowThreads(pin!(
self.from_swarm
.try_lock()
.map_err(|_| PyRuntimeError::new_err("tried to recv twice"))?
.recv()
.or(async {
cancel.cancelled().await;
None
})
))
.await
{
Some(FromSwarm::PublishError(p)) => match p {
PublishError::AllQueuesFull(_) => {
Err(PyConnectionError::new_err("swarm overloaded"))
}
PublishError::MessageTooLarge => {
Err(PyValueError::new_err("message too large"))
}
PublishError::NoPeersSubscribedToTopic => {
continue;
}
// TODO(evan): logs here
_ => continue,
},
None => Err(PyRuntimeError::new_err("swarm communication closed")),
Some(fs) => Ok(PySwarmEvent(fs)),
};
}
}
// ---- Connection update receiver methods ----
/// Receives the next `ConnectionUpdate` from networking.
async fn connection_update_recv(&self) -> PyResult<PyConnectionUpdate> {
self.connection_update_rx
.lock()
.allow_threads_py() // allow-threads-aware async call
.await
.recv_py()
.allow_threads_py() // allow-threads-aware async call
.await
}
/// Receives at most `limit` `ConnectionUpdate`s from networking and returns them.
///
/// For `limit = 0`, an empty collection of `ConnectionUpdate`s will be returned immediately.
/// For `limit > 0`, if there are no `ConnectionUpdate`s in the channel's queue this method
/// will sleep until a `ConnectionUpdate`s is sent.
async fn connection_update_recv_many(&self, limit: usize) -> PyResult<Vec<PyConnectionUpdate>> {
self.connection_update_rx
.lock()
.allow_threads_py() // allow-threads-aware async call
.await
.recv_many_py(limit)
.allow_threads_py() // allow-threads-aware async call
.await
}
// TODO: rn this blocks main thread if anything else is awaiting the channel (bc its a mutex)
// so its too dangerous to expose just yet. figure out a better semantics for handling this,
// so things don't randomly block
// /// Tries to receive the next `ConnectionUpdate` from networking.
// fn connection_update_try_recv(&self) -> PyResult<Option<PyConnectionUpdate>> {
// self.connection_update_rx.blocking_lock().try_recv_py()
// }
//
// /// Checks if the `ConnectionUpdate` channel is empty.
// fn connection_update_is_empty(&self) -> bool {
// self.connection_update_rx.blocking_lock().is_empty()
// }
//
// /// Returns the number of `ConnectionUpdate`s in the channel.
// fn connection_update_len(&self) -> usize {
// self.connection_update_rx.blocking_lock().len()
// }
// ---- Gossipsub management methods ----
/// Subscribe to a `GossipSub` topic.
///
/// Returns `True` if the subscription worked. Returns `False` if we were already subscribed.
async fn gossipsub_subscribe(&self, topic: String) -> PyResult<bool> {
let (tx, rx) = oneshot::channel();
// send off request to subscribe
self.to_task_tx()
.send_py(ToTask::GossipsubSubscribe {
topic,
result_tx: tx,
})
.allow_threads_py() // allow-threads-aware async call
.await?;
// wait for response & return any errors
rx.allow_threads_py() // allow-threads-aware async call
.await
.map_err(|_| PyErr::receiver_channel_closed())?
}
/// Unsubscribes from a `GossipSub` topic.
///
/// Returns `True` if we were subscribed to this topic. Returns `False` if we were not subscribed.
async fn gossipsub_unsubscribe(&self, topic: String) -> PyResult<bool> {
let (tx, rx) = oneshot::channel();
// send off request to unsubscribe
self.to_task_tx()
.send_py(ToTask::GossipsubUnsubscribe {
topic,
result_tx: tx,
})
.allow_threads_py() // allow-threads-aware async call
.await?;
// wait for response & convert any errors
rx.allow_threads_py() // allow-threads-aware async call
.await
.map_err(|_| PyErr::receiver_channel_closed())
}
/// Publishes a message with multiple topics to the `GossipSub` network.
///
/// If no peers are found that subscribe to this topic, throws `NoPeersSubscribedToTopicError` exception.
async fn gossipsub_publish(&self, topic: String, data: Py<PyBytes>) -> PyResult<()> {
let (tx, rx) = oneshot::channel();
// send off request to subscribe
let data = Python::attach(|py| Vec::from(data.as_bytes(py)));
self.to_task_tx()
.send_py(ToTask::GossipsubPublish {
topic,
data,
result_tx: tx,
})
.allow_threads_py() // allow-threads-aware async call
.await?;
// wait for response & return any errors => ignore messageID for now!!!
let _ = rx
.allow_threads_py() // allow-threads-aware async call
.await
.map_err(|_| PyErr::receiver_channel_closed())??;
Ok(())
}
// ---- Gossipsub message receiver methods ----
/// Receives the next message from the `GossipSub` network.
async fn gossipsub_recv(&self) -> PyResult<(String, Py<PyBytes>)> {
self.gossipsub_message_rx
.lock()
.allow_threads_py() // allow-threads-aware async call
.await
.recv_py()
.allow_threads_py() // allow-threads-aware async call
.await
.map(|(t, d)| (t, d.pybytes()))
}
/// Receives at most `limit` messages from the `GossipSub` network and returns them.
///
/// For `limit = 0`, an empty collection of messages will be returned immediately.
/// For `limit > 0`, if there are no messages in the channel's queue this method
/// will sleep until a message is sent.
async fn gossipsub_recv_many(&self, limit: usize) -> PyResult<Vec<(String, Py<PyBytes>)>> {
Ok(self
.gossipsub_message_rx
.lock()
.allow_threads_py() // allow-threads-aware async call
.await
.recv_many_py(limit)
.allow_threads_py() // allow-threads-aware async call
.await?
.into_iter()
.map(|(t, d)| (t, d.pybytes()))
.collect())
}
// TODO: rn this blocks main thread if anything else is awaiting the channel (bc its a mutex)
// so its too dangerous to expose just yet. figure out a better semantics for handling this,
// so things don't randomly block
// /// Tries to receive the next message from the `GossipSub` network.
// fn gossipsub_try_recv(&self) -> PyResult<Option<(String, Py<PyBytes>)>> {
// Ok(self
// .gossipsub_message_rx
// .blocking_lock()
// .try_recv_py()?
// .map(|(t, d)| (t, d.pybytes())))
// }
//
// /// Checks if the `GossipSub` message channel is empty.
// fn gossipsub_is_empty(&self) -> bool {
// self.gossipsub_message_rx.blocking_lock().is_empty()
// }
//
// /// Returns the number of `GossipSub` messages in the channel.
// fn gossipsub_len(&self) -> usize {
// self.gossipsub_message_rx.blocking_lock().len()
// }
}
pub fn networking_submodule(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<exception::PyNoPeersSubscribedToTopicError>()?;
m.add_class::<exception::PyAllQueuesFullError>()?;
m.add_class::<PyConnectionUpdateType>()?;
m.add_class::<PyConnectionUpdate>()?;
m.add_class::<PyConnectionUpdateType>()?;
m.add_class::<PyNetworkingHandle>()?;
Ok(())
// Manually submit the run()/recv() stub because the cancelhandle is poorly understood
submit! {
gen_methods_from_python! {
r#"
class PyPeer:
async def run(self): ...
async def recv(self) -> PySwarmEvent: ...
"#
}
}
#[gen_stub_pyclass]
#[pyclass]
pub struct PySwarmEvent(FromSwarm);
#[gen_stub_pymethods]
#[pymethods]
impl PySwarmEvent {
// probably a better way to do this, but...
fn downcast_discovered(&self) -> Option<String> {
if let FromSwarm::Discovered(peer_id) = self.0 {
Some(peer_id.to_base58())
} else {
None
}
}
fn downcast_expired(&self) -> Option<String> {
if let FromSwarm::Expired(peer_id) = self.0 {
Some(peer_id.to_base58())
} else {
None
}
}
fn downcast_message<'py>(
&self,
py: Python<'py>,
) -> Option<(String, String, Bound<'py, PyBytes>)> {
if let FromSwarm::Message(peer_id, topic, data) = &self.0 {
Some((peer_id.to_base58(), topic.clone(), PyBytes::new(py, data)))
} else {
None
}
}
}
-54
View File
@@ -1,54 +0,0 @@
#[cfg(test)]
mod tests {
use core::mem::drop;
use core::option::Option::Some;
use core::time::Duration;
use tokio;
use tokio::sync::mpsc;
#[tokio::test]
async fn test_drop_channel() {
struct Ping;
let (tx, mut rx) = mpsc::channel::<Ping>(10);
let _ = tokio::spawn(async move {
println!("TASK: entered");
loop {
tokio::select! {
result = rx.recv() => {
match result {
Some(_) => {
println!("TASK: pinged");
}
None => {
println!("TASK: closing channel");
break;
}
}
}
_ = tokio::time::sleep(Duration::from_secs_f32(0.1)) => {
println!("TASK: heartbeat");
}
}
}
println!("TASK: exited");
});
let tx2 = tx.clone();
tokio::time::sleep(Duration::from_secs_f32(0.11)).await;
tx.send(Ping).await.expect("Should not fail");
drop(tx);
tokio::time::sleep(Duration::from_secs_f32(0.11)).await;
tx2.send(Ping).await.expect("Should not fail");
drop(tx2);
tokio::time::sleep(Duration::from_secs_f32(0.11)).await;
}
}
-11
View File
@@ -13,22 +13,11 @@ path = "src/lib.rs"
workspace = true
[dependencies]
# datastructures
either = { workspace = true }
# macro dependencies
extend = { workspace = true }
delegate = { workspace = true }
# async
tokio = { workspace = true, features = ["full"] }
futures-lite = { workspace = true }
futures-timer = { workspace = true }
# utility dependencies
util = { workspace = true }
tracing-subscriber = { version = "0.3.19", features = ["default", "env-filter"] }
keccak-const = { workspace = true }
# tracing/logging
log = { workspace = true }
+30 -42
View File
@@ -1,6 +1,6 @@
use futures_lite::StreamExt;
use libp2p::{gossipsub, identity, swarm::SwarmEvent};
use networking::{discovery, swarm};
use libp2p::identity;
use networking::{self, FromSwarm, ToSwarm};
use tokio::sync::mpsc;
use tokio::{io, io::AsyncBufReadExt as _, select};
use tracing_subscriber::EnvFilter;
use tracing_subscriber::filter::LevelFilter;
@@ -12,63 +12,51 @@ async fn main() {
.try_init();
// Configure swarm
let mut swarm =
swarm::create_swarm(identity::Keypair::generate_ed25519()).expect("Swarm creation failed");
let (to_client, mut from_swarm) = mpsc::channel(20);
let (to_swarm, from_client) = mpsc::channel(20);
let mut peer = networking::Peer::new(
"chatroom!".to_string(),
identity::Keypair::generate_ed25519(),
to_client,
from_client,
)
.expect("listen error");
// Create a Gossipsub topic & subscribe
let topic = gossipsub::IdentTopic::new("test-net");
swarm
.behaviour_mut()
.gossipsub
.subscribe(&topic)
.expect("Subscribing to topic failed");
// Read full lines from stdin
let mut stdin = io::BufReader::new(io::stdin()).lines();
println!("Enter messages via STDIN and they will be sent to connected peers using Gossipsub");
let jh = tokio::spawn(async move { peer.run().await });
_ = to_swarm
.send(ToSwarm::Subscribe("chatting".to_string()))
.await;
// Kick it off
loop {
select! {
// on gossipsub outgoing
Ok(Some(line)) = stdin.next_line() => {
if let Err(e) = swarm
.behaviour_mut().gossipsub
.publish(topic.clone(), line.as_bytes()) {
println!("Publish error: {e:?}");
}
_ = to_swarm.send(ToSwarm::Message("chatting".to_string(), line.into_bytes())).await;
}
event = swarm.next() => match event {
event = from_swarm.recv() => match event {
// on gossipsub incoming
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Gossipsub(gossipsub::Event::Message {
propagation_source: peer_id,
message_id: id,
message,
}))) => println!(
"\n\nGot message: '{}' with id: {id} from peer: {peer_id}\n\n",
String::from_utf8_lossy(&message.data),
Some(FromSwarm::Message(peer_id,_, data)) => println!(
"\n\nGot message: '{}' from peer: {peer_id}\n\n",
String::from_utf8_lossy(&data),
),
// on discovery
Some(SwarmEvent::Behaviour(swarm::BehaviourEvent::Discovery(e)) )=> match e {
discovery::Event::ConnectionEstablished {
peer_id, connection_id, remote_ip, remote_tcp_port
} => {
println!("\n\nConnected to: {peer_id}; connection ID: {connection_id}; remote IP: {remote_ip}; remote TCP port: {remote_tcp_port}\n\n");
}
discovery::Event::ConnectionClosed {
peer_id, connection_id, remote_ip, remote_tcp_port
} => {
eprintln!("\n\nDisconnected from: {peer_id}; connection ID: {connection_id}; remote IP: {remote_ip}; remote TCP port: {remote_tcp_port}\n\n");
}
Some(FromSwarm::Discovered(peer_id)) => {
println!("\n\nConnected to: {peer_id}\n\n");
}
// ignore outgoing errors: those are normal
e@Some(SwarmEvent::OutgoingConnectionError { .. }) => { log::debug!("Outgoing connection error: {e:?}"); }
// otherwise log any other event
e => { log::info!("Other event {e:?}"); }
Some(FromSwarm::Expired(peer_id)) => {
println!("\n\nDisconnected from: {peer_id}\n\n");
}
Some(FromSwarm::PublishError(e)) => eprintln!("\n\nError {e:?}\n\n"),
None => break,
}
}
}
_ = jh.await;
}
-44
View File
@@ -1,44 +0,0 @@
https://github.com/ml-explore/mlx/commit/3fe98bacc7640d857acf3539f1d21b47a32e5609
^raw sockets distributed -> `<net/ndrv.h>` -> https://newosxbook.com/code/xnu-3247.1.106/bsd/net/ndrv.h.auto.html
--> header file for a networking component found in the macOS kernel (XNU) that defines structures for network device driver registration, specifically the ndrv_demux_desc and ndrv_protocol_desc structures used for demultiplexing protocol data at the network interface level. It specifies how to describe protocol data, such as an Ethernet type or a SNAP header, and how to associate these descriptions with a specific protocol family to receive matching packets.
--> Used to bind an NDRV socket so that packets that match given protocol demux descriptions can be received.
--> An NDRV socket is a special kind of socket in the Darwin/macOS operating system's XNU kernel, used for low-level network packet manipulation and binding to specific protocols for packet processing. It allows user-space applications or drivers to directly write Layer 2 (L2) network packets or interact with the network stack at a lower level, often by binding to protocol descriptors like the ndrv_protocol_desc. This type of socket is used for functions such as capturing and injecting packets, especially in network infrastructure software like routers or for kernel-level network monitoring and security tools.
--> also called PF_NDRV sockets --> https://newosxbook.com/bonus/vol1ch16.html
----> they are conceptually similar to https://scapy.disruptivelabs.in/networking/socket-interface PF_RAW or PF_PACKET
https://stackoverflow.com/questions/17169298/af-packet-on-osx
^AF_PACKET duplicates the packets as soon as it receives them from the physical layer (for incoming packets) or just before sending them out to the physical layer (for outgoing packets). -> this is on Linux only
^it doesn't exist on OS X so you can use /dev/bpfX (Berkeley Packet Filter) for sniffing
https://www.unix.com/man_page/mojave/4/ip/
^OS X manpages for IP
https://developer.apple.com/documentation/kernel/implementing_drivers_system_extensions_and_kexts
^driver kit, system extensions & kexts for macOS
----
To set up a Linux system to use a Thunderbolt connection as a network device, connect the two computers with a Thunderbolt cable, load the thunderbolt-net kernel module (usually automatic but modprobe is an option for manual loading), and then the operating system will create virtual Ethernet interfaces (e.g., thunderbolt0) for networking. You can then use standard tools like ifconfig or your desktop environment's network manager to configure these new interfaces for a link-local network.
--> https://gist.github.com/geosp/80fbd39e617b7d1d9421683df4ea224a
----> here is a guide on how to set up thunderbolt-ethernet on linux
----> I may be able to steal the thunderbolt-net code ideas to implement a kernel module for MacOS
https://chatgpt.com/s/t_68af8e41a8548191993281a014f846a7
^GPT discussion about making socket interface
https://chatgpt.com/s/t_68afb798a85c8191973c02a0fa7a48a3 --> link-local address,,??
https://chatgpt.com/s/t_68afb02987e08191b2b0044d3667ece2
^GPT discussion about accessing TB on MacOS low level interactions
--------------------------------
https://www.intel.com/content/www/us/en/support/articles/000098893/software.html
^Thunderbolt Share & Thunderbolt Networking Mode => intel's equivalent of thunderbolt bridge
---------------------------------
https://www.zerotier.com/blog/how-zerotier-eliminated-kernel-extensions-on-macos/
-->fake ethernet devices on MacOS -> omg??? we can detect thunderbolt bridge, then bind to it, then re-expose it as fake ethernet??
-->ps: https://chatgpt.com/s/t_68afb2b25fb881919526763fb5d7359c, AF/PF_NDRV are one and the same!!!
-->https://github.com/zerotier/ZeroTierOne/blob/dev/osdep/MacEthernetTapAgent.c
-382
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@@ -1,382 +0,0 @@
use crate::ext::MultiaddrExt;
use delegate::delegate;
use either::Either;
use futures_lite::FutureExt;
use futures_timer::Delay;
use libp2p::core::transport::PortUse;
use libp2p::core::{ConnectedPoint, Endpoint};
use libp2p::swarm::behaviour::ConnectionEstablished;
use libp2p::swarm::dial_opts::DialOpts;
use libp2p::swarm::{
CloseConnection, ConnectionClosed, ConnectionDenied, ConnectionHandler,
ConnectionHandlerSelect, ConnectionId, FromSwarm, NetworkBehaviour, THandler, THandlerInEvent,
THandlerOutEvent, ToSwarm, dummy,
};
use libp2p::{Multiaddr, PeerId, identity, mdns};
use std::collections::{BTreeSet, HashMap};
use std::convert::Infallible;
use std::io;
use std::net::IpAddr;
use std::task::{Context, Poll};
use std::time::Duration;
use util::wakerdeque::WakerDeque;
const RETRY_CONNECT_INTERVAL: Duration = Duration::from_secs(5);
mod managed {
use libp2p::swarm::NetworkBehaviour;
use libp2p::{identity, mdns, ping};
use std::io;
use std::time::Duration;
const MDNS_RECORD_TTL: Duration = Duration::from_secs(2_500);
const MDNS_QUERY_INTERVAL: Duration = Duration::from_secs(1_500);
const PING_TIMEOUT: Duration = Duration::from_millis(2_500);
const PING_INTERVAL: Duration = Duration::from_millis(2_500);
#[derive(NetworkBehaviour)]
pub struct Behaviour {
mdns: mdns::tokio::Behaviour,
ping: ping::Behaviour,
}
impl Behaviour {
pub fn new(keypair: &identity::Keypair) -> io::Result<Self> {
Ok(Self {
mdns: mdns_behaviour(keypair)?,
ping: ping_behaviour(),
})
}
}
fn mdns_behaviour(keypair: &identity::Keypair) -> io::Result<mdns::tokio::Behaviour> {
use mdns::{Config, tokio};
// mDNS config => enable IPv6
let mdns_config = Config {
ttl: MDNS_RECORD_TTL,
query_interval: MDNS_QUERY_INTERVAL,
// enable_ipv6: true, // TODO: for some reason, TCP+mDNS don't work well with ipv6?? figure out how to make work
..Default::default()
};
let mdns_behaviour = tokio::Behaviour::new(mdns_config, keypair.public().to_peer_id());
Ok(mdns_behaviour?)
}
fn ping_behaviour() -> ping::Behaviour {
ping::Behaviour::new(
ping::Config::new()
.with_timeout(PING_TIMEOUT)
.with_interval(PING_INTERVAL),
)
}
}
/// Events for when a listening connection is truly established and truly closed.
#[derive(Debug, Clone)]
pub enum Event {
ConnectionEstablished {
peer_id: PeerId,
connection_id: ConnectionId,
remote_ip: IpAddr,
remote_tcp_port: u16,
},
ConnectionClosed {
peer_id: PeerId,
connection_id: ConnectionId,
remote_ip: IpAddr,
remote_tcp_port: u16,
},
}
/// Discovery behavior that wraps mDNS to produce truly discovered durable peer-connections.
///
/// The behaviour operates as such:
/// 1) All true (listening) connections/disconnections are tracked, emitting corresponding events
/// to the swarm.
/// 1) mDNS discovered/expired peers are tracked; discovered but not connected peers are dialed
/// immediately, and expired but connected peers are disconnected from immediately.
/// 2) Every fixed interval: discovered but not connected peers are dialed, and expired but
/// connected peers are disconnected from.
pub struct Behaviour {
// state-tracking for managed behaviors & mDNS-discovered peers
managed: managed::Behaviour,
mdns_discovered: HashMap<PeerId, BTreeSet<Multiaddr>>,
retry_delay: Delay, // retry interval
// pending events to emmit => waker-backed Deque to control polling
pending_events: WakerDeque<ToSwarm<Event, Infallible>>,
}
impl Behaviour {
pub fn new(keypair: &identity::Keypair) -> io::Result<Self> {
Ok(Self {
managed: managed::Behaviour::new(keypair)?,
mdns_discovered: HashMap::new(),
retry_delay: Delay::new(RETRY_CONNECT_INTERVAL),
pending_events: WakerDeque::new(),
})
}
fn dial(&mut self, peer_id: PeerId, addr: Multiaddr) {
self.pending_events.push_back(ToSwarm::Dial {
opts: DialOpts::peer_id(peer_id).addresses(vec![addr]).build(),
})
}
fn close_connection(&mut self, peer_id: PeerId, connection: ConnectionId) {
// push front to make this IMMEDIATE
self.pending_events.push_front(ToSwarm::CloseConnection {
peer_id,
connection: CloseConnection::One(connection),
})
}
fn handle_mdns_discovered(&mut self, peers: Vec<(PeerId, Multiaddr)>) {
for (p, ma) in peers {
self.dial(p, ma.clone()); // always connect
// get peer's multi-addresses or insert if missing
let Some(mas) = self.mdns_discovered.get_mut(&p) else {
self.mdns_discovered.insert(p, BTreeSet::from([ma]));
continue;
};
// multiaddress should never already be present - else something has gone wrong
let is_new_addr = mas.insert(ma);
assert!(is_new_addr, "cannot discover a discovered peer");
}
}
fn handle_mdns_expired(&mut self, peers: Vec<(PeerId, Multiaddr)>) {
for (p, ma) in peers {
// at this point, we *must* have the peer
let mas = self
.mdns_discovered
.get_mut(&p)
.expect("nonexistent peer cannot expire");
// at this point, we *must* have the multiaddress
let was_present = mas.remove(&ma);
assert!(was_present, "nonexistent multiaddress cannot expire");
// if empty, remove the peer-id entirely
if mas.is_empty() {
self.mdns_discovered.remove(&p);
}
}
}
fn on_connection_established(
&mut self,
peer_id: PeerId,
connection_id: ConnectionId,
remote_ip: IpAddr,
remote_tcp_port: u16,
) {
// send out connected event
self.pending_events
.push_back(ToSwarm::GenerateEvent(Event::ConnectionEstablished {
peer_id,
connection_id,
remote_ip,
remote_tcp_port,
}));
}
fn on_connection_closed(
&mut self,
peer_id: PeerId,
connection_id: ConnectionId,
remote_ip: IpAddr,
remote_tcp_port: u16,
) {
// send out disconnected event
self.pending_events
.push_back(ToSwarm::GenerateEvent(Event::ConnectionClosed {
peer_id,
connection_id,
remote_ip,
remote_tcp_port,
}));
}
}
impl NetworkBehaviour for Behaviour {
type ConnectionHandler =
ConnectionHandlerSelect<dummy::ConnectionHandler, THandler<managed::Behaviour>>;
type ToSwarm = Event;
// simply delegate to underlying mDNS behaviour
delegate! {
to self.managed {
fn handle_pending_inbound_connection(&mut self, connection_id: ConnectionId, local_addr: &Multiaddr, remote_addr: &Multiaddr) -> Result<(), ConnectionDenied>;
fn handle_pending_outbound_connection(&mut self, connection_id: ConnectionId, maybe_peer: Option<PeerId>, addresses: &[Multiaddr], effective_role: Endpoint) -> Result<Vec<Multiaddr>, ConnectionDenied>;
}
}
fn handle_established_inbound_connection(
&mut self,
connection_id: ConnectionId,
peer: PeerId,
local_addr: &Multiaddr,
remote_addr: &Multiaddr,
) -> Result<THandler<Self>, ConnectionDenied> {
Ok(ConnectionHandler::select(
dummy::ConnectionHandler,
self.managed.handle_established_inbound_connection(
connection_id,
peer,
local_addr,
remote_addr,
)?,
))
}
#[allow(clippy::needless_question_mark)]
fn handle_established_outbound_connection(
&mut self,
connection_id: ConnectionId,
peer: PeerId,
addr: &Multiaddr,
role_override: Endpoint,
port_use: PortUse,
) -> Result<THandler<Self>, ConnectionDenied> {
Ok(ConnectionHandler::select(
dummy::ConnectionHandler,
self.managed.handle_established_outbound_connection(
connection_id,
peer,
addr,
role_override,
port_use,
)?,
))
}
fn on_connection_handler_event(
&mut self,
peer_id: PeerId,
connection_id: ConnectionId,
event: THandlerOutEvent<Self>,
) {
match event {
Either::Left(ev) => libp2p::core::util::unreachable(ev),
Either::Right(ev) => {
self.managed
.on_connection_handler_event(peer_id, connection_id, ev)
}
}
}
// hook into these methods to drive behavior
fn on_swarm_event(&mut self, event: FromSwarm) {
self.managed.on_swarm_event(event); // let mDNS handle swarm events
// handle swarm events to update internal state:
match event {
FromSwarm::ConnectionEstablished(ConnectionEstablished {
peer_id,
connection_id,
endpoint,
..
}) => {
let remote_address = match endpoint {
ConnectedPoint::Dialer { address, .. } => address,
ConnectedPoint::Listener { send_back_addr, .. } => send_back_addr,
};
if let Some((ip, port)) = remote_address.try_to_tcp_addr() {
// handle connection established event which is filtered correctly
self.on_connection_established(peer_id, connection_id, ip, port)
}
}
FromSwarm::ConnectionClosed(ConnectionClosed {
peer_id,
connection_id,
endpoint,
..
}) => {
let remote_address = match endpoint {
ConnectedPoint::Dialer { address, .. } => address,
ConnectedPoint::Listener { send_back_addr, .. } => send_back_addr,
};
if let Some((ip, port)) = remote_address.try_to_tcp_addr() {
// handle connection closed event which is filtered correctly
self.on_connection_closed(peer_id, connection_id, ip, port)
}
}
// since we are running TCP/IP transport layer, we are assuming that
// no address changes can occur, hence encountering one is a fatal error
FromSwarm::AddressChange(a) => {
unreachable!("unhandlable: address change encountered: {:?}", a)
}
_ => {}
}
}
fn poll(&mut self, cx: &mut Context) -> Poll<ToSwarm<Self::ToSwarm, THandlerInEvent<Self>>> {
// delegate to managed behaviors for any behaviors they need to perform
match self.managed.poll(cx) {
Poll::Ready(ToSwarm::GenerateEvent(e)) => {
match e {
// handle discovered and expired events from mDNS
managed::BehaviourEvent::Mdns(e) => match e.clone() {
mdns::Event::Discovered(peers) => {
self.handle_mdns_discovered(peers);
}
mdns::Event::Expired(peers) => {
self.handle_mdns_expired(peers);
}
},
// handle ping events => if error then disconnect
managed::BehaviourEvent::Ping(e) => {
if let Err(_) = e.result {
self.close_connection(e.peer, e.connection.clone())
}
}
}
// since we just consumed an event, we should immediately wake just in case
// there are more events to come where that came from
cx.waker().wake_by_ref();
}
// forward any other mDNS event to the swarm or its connection handler(s)
Poll::Ready(e) => {
return Poll::Ready(
e.map_out(|_| unreachable!("events returning to swarm already handled"))
.map_in(Either::Right),
);
}
Poll::Pending => {}
}
// retry connecting to all mDNS peers periodically (fails safely if already connected)
if self.retry_delay.poll(cx).is_ready() {
for (p, mas) in self.mdns_discovered.clone() {
for ma in mas {
self.dial(p, ma)
}
}
self.retry_delay.reset(RETRY_CONNECT_INTERVAL) // reset timeout
}
// send out any pending events from our own service
if let Some(e) = self.pending_events.pop_front(cx) {
return Poll::Ready(e.map_in(Either::Left));
}
// wait for pending events
Poll::Pending
}
}
+290 -35
View File
@@ -1,44 +1,299 @@
//! TODO: crate documentation
//!
//! this is here as a placeholder documentation
//!
//!
pub mod discovery;
pub mod swarm;
use libp2p::{
Multiaddr, PeerId,
futures::StreamExt,
gossipsub::{self, TopicHash},
identify,
identity::Keypair,
mdns,
swarm::{NetworkBehaviour, SwarmEvent, dial_opts::DialOpts},
};
use std::collections::HashMap;
use tokio::sync::mpsc;
/// Namespace for all the type/trait aliases used by this crate.
pub(crate) mod alias {
use std::error::Error;
#[derive(Debug)]
pub struct ListenError;
pub type AnyError = Box<dyn Error + Send + Sync + 'static>;
pub type AnyResult<T> = Result<T, AnyError>;
pub enum FromSwarm {
PublishError(gossipsub::PublishError),
Discovered(PeerId),
Expired(PeerId),
Message(PeerId, String, Vec<u8>),
}
pub enum ToSwarm {
Message(String, Vec<u8>),
Subscribe(String),
Unsubscribe(String),
}
/// Namespace for crate-wide extension traits/methods
pub(crate) mod ext {
use extend::ext;
use libp2p::Multiaddr;
use libp2p::multiaddr::Protocol;
use std::net::IpAddr;
pub struct Peer {
pub swarm: libp2p::Swarm<Behaviour>,
to_client: mpsc::Sender<FromSwarm>,
from_client: mpsc::Receiver<ToSwarm>,
namespace: String,
known_peers: HashMap<PeerId, Vec<Multiaddr>>,
}
impl Peer {
pub fn new(
namespace: String,
kp: Keypair,
to_client: mpsc::Sender<FromSwarm>,
from_client: mpsc::Receiver<ToSwarm>,
) -> Result<Self, ListenError> {
let mut swarm = libp2p::SwarmBuilder::with_existing_identity(kp)
.with_tokio()
.with_quic()
// TODO(evan) .with_bandwidth_metrics()
.with_behaviour(|kp| Behaviour::new(namespace.clone(), kp))
.expect("invalid swarm behaviour")
.build();
#[ext(pub, name = MultiaddrExt)]
impl Multiaddr {
/// If the multiaddress corresponds to a TCP address, extracts it
fn try_to_tcp_addr(&self) -> Option<(IpAddr, u16)> {
let mut ps = self.into_iter();
let ip = if let Some(p) = ps.next() {
match p {
Protocol::Ip4(ip) => IpAddr::V4(ip),
Protocol::Ip6(ip) => IpAddr::V6(ip),
_ => return None,
swarm
.listen_on("/ip6/::/udp/0/quic-v1".parse().expect("invalid multiaddr"))
.map_err(|_| ListenError)?;
swarm
.listen_on(
"/ip4/0.0.0.0/udp/0/quic-v1"
.parse()
.expect("invalid multiaddr"),
)
.map_err(|_| ListenError)?;
Ok(Self {
swarm,
to_client,
from_client,
namespace,
known_peers: HashMap::default(),
})
}
pub async fn run(&mut self) -> Result<(), ()> {
loop {
tokio::select! {
event = self.swarm.next() => self.handle_event(event.ok_or(())?).await?,
msg = self.from_client.recv() => self.handle_message(msg.ok_or(())?).await?,
}
}
}
async fn handle_message(&mut self, message: ToSwarm) -> Result<(), ()> {
match message {
ToSwarm::Message(topic, data) => {
if let Err(e) = self
.swarm
.behaviour_mut()
.gossipsub
.publish(TopicHash::from_raw(topic), data)
{
self.to_client
.send(FromSwarm::PublishError(e))
.await
.map_err(|_| ())?;
}
} else {
return None;
};
let Some(Protocol::Tcp(port)) = ps.next() else {
return None;
};
Some((ip, port))
}
ToSwarm::Subscribe(topic) => {
match self
.swarm
.behaviour_mut()
.gossipsub
.subscribe(&gossipsub::IdentTopic::new(topic))
{
Ok(_) => {}
Err(gossipsub::SubscriptionError::NotAllowed) => {
unreachable!("subscription filter hit")
}
Err(gossipsub::SubscriptionError::PublishError(e)) => self
.to_client
.send(FromSwarm::PublishError(e))
.await
.map_err(|_| ())?,
}
}
ToSwarm::Unsubscribe(topic) => {
self.swarm
.behaviour_mut()
.gossipsub
.unsubscribe(&gossipsub::IdentTopic::new(topic));
}
}
Ok(())
}
async fn handle_event(&mut self, event: SwarmEvent<BehaviourEvent>) -> Result<(), ()> {
let SwarmEvent::Behaviour(event) = event else {
return Ok(());
};
match event {
BehaviourEvent::Gossipsub(gossipsub::Event::Message { message, .. }) => {
if let Some(source) = message.source {
self.to_client
.send(FromSwarm::Message(
source,
message.topic.into_string(),
message.data,
))
.await
.map_err(|_| ())?;
}
}
BehaviourEvent::Identify(identify::Event::Received { peer_id, info, .. }) => {
log::debug!(
"identify from {peer_id}: protocol_version='{}' agent_version='{}' (local namespace='{}')",
info.protocol_version,
info.agent_version,
self.namespace
);
if info.protocol_version == self.namespace {
self.passed_namespace(peer_id);
self.to_client
.send(FromSwarm::Discovered(peer_id))
.await
.map_err(|_| ())?;
} else {
self.failed_namespace(peer_id);
}
}
BehaviourEvent::Mdns(mdns::Event::Discovered(v)) => {
for (peer_id, addr) in v {
self.known_peers.entry(peer_id).or_default().push(addr);
}
for (peer_id, addrs) in &self.known_peers {
// dialopts handles rate limiting, we should check errors if we want to blacklist earlier
let _ = self
.swarm
.dial(DialOpts::peer_id(*peer_id).addresses(addrs.clone()).build());
}
}
BehaviourEvent::Mdns(mdns::Event::Expired(v)) => {
for (peer_id, addr) in v {
let addrs = self.known_peers.entry(peer_id).or_default();
addrs.retain(|a| *a != addr);
if addrs.is_empty() {
self.known_peers.remove(&peer_id);
self.swarm
.behaviour_mut()
.gossipsub
.remove_explicit_peer(&peer_id);
self.to_client
.send(FromSwarm::Expired(peer_id))
.await
.map_err(|_| ())?;
}
}
}
_ => {}
}
Ok(())
}
fn passed_namespace(&mut self, peer_id: PeerId) {
self.swarm
.behaviour_mut()
.gossipsub
.remove_blacklisted_peer(&peer_id);
self.swarm
.behaviour_mut()
.gossipsub
.add_explicit_peer(&peer_id);
}
fn failed_namespace(&mut self, peer_id: PeerId) {
self.swarm
.behaviour_mut()
.gossipsub
.blacklist_peer(&peer_id);
self.swarm
.behaviour_mut()
.gossipsub
.remove_explicit_peer(&peer_id);
}
}
#[derive(NetworkBehaviour)]
pub struct Behaviour {
gossipsub: gossipsub::Behaviour,
mdns: mdns::tokio::Behaviour,
identify: identify::Behaviour,
}
impl Behaviour {
fn new(namespace: String, kp: &Keypair) -> Self {
let mdns = mdns::Behaviour::new(mdns::Config::default(), kp.public().to_peer_id())
.expect("mdns behaviour failed to build");
let identify =
identify::Behaviour::new(identify::Config::new_with_signed_peer_record(namespace, kp));
let gossipsub = gossipsub::Behaviour::new(
gossipsub::MessageAuthenticity::Signed(kp.clone()),
gossipsub::ConfigBuilder::default()
.max_transmit_size(1024 * 1024)
.validation_mode(gossipsub::ValidationMode::Strict)
.build()
.expect("invalid gossipsub configuration"),
)
.expect("gossipsub behaviour failed ot build");
Self {
gossipsub,
mdns,
identify,
}
}
}
// TODO: more tests
#[cfg(test)]
mod tests {
use super::*;
use tokio::time::{Duration, timeout};
fn make_peer(namespace: &str) -> (Peer, mpsc::Receiver<FromSwarm>, mpsc::Sender<ToSwarm>) {
let kp = Keypair::generate_ed25519();
let (to_client_tx, to_client_rx) = mpsc::channel(64);
let (to_peer_tx, to_peer_rx) = mpsc::channel(64);
let peer = Peer::new(namespace.to_string(), kp, to_client_tx, to_peer_rx)
.expect("Peer::new should succeed in tests");
(peer, to_client_rx, to_peer_tx)
}
async fn next_listen_addr(peer: &mut Peer) -> Multiaddr {
loop {
match peer.swarm.next().await {
Some(SwarmEvent::NewListenAddr { address, .. }) => return address,
Some(_) => {}
None => panic!("swarm stream ended unexpectedly"),
}
}
}
#[tokio::test]
async fn subscribe_and_unsubscribe_do_not_error() {
let (mut peer, mut events_rx, commands_tx) = make_peer("ns-test");
// Drive the swarm just enough to get at least one listen address event,
// so the background run loop has something initialized.
let _addr = next_listen_addr(&mut peer).await;
// Run the peer loop in the background.
let handle = tokio::spawn(async move {
let _ = peer.run().await;
});
commands_tx
.send(ToSwarm::Subscribe("topic-a".to_string()))
.await
.unwrap();
commands_tx
.send(ToSwarm::Unsubscribe("topic-a".to_string()))
.await
.unwrap();
// We don't *require* any FromSwarm events here; this is mainly a
// smoke test that the message-handling path doesn't panic/hang.
// Still, poll briefly to ensure the task is alive.
let _ = timeout(Duration::from_millis(200), events_rx.recv()).await;
// Shut down: dropping the command sender closes the channel, causing run() to return Err.
drop(commands_tx);
let _ = handle.await;
}
}
-143
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@@ -1,143 +0,0 @@
use crate::alias;
use crate::swarm::transport::tcp_transport;
pub use behaviour::{Behaviour, BehaviourEvent};
use libp2p::{SwarmBuilder, identity};
pub type Swarm = libp2p::Swarm<Behaviour>;
/// The current version of the network: this prevents devices running different versions of the
/// software from interacting with each other.
///
/// TODO: right now this is a hardcoded constant; figure out what the versioning semantics should
/// even be, and how to inject the right version into this config/initialization. E.g. should
/// this be passed in as a parameter? What about rapidly changing versions in debug builds?
/// this is all VERY very hard to figure out and needs to be mulled over as a team.
pub const NETWORK_VERSION: &[u8] = b"v0.0.1";
pub const OVERRIDE_VERSION_ENV_VAR: &str = "EXO_LIBP2P_NAMESPACE";
/// Create and configure a swarm which listens to all ports on OS
pub fn create_swarm(keypair: identity::Keypair) -> alias::AnyResult<Swarm> {
let mut swarm = SwarmBuilder::with_existing_identity(keypair)
.with_tokio()
.with_other_transport(tcp_transport)?
.with_behaviour(Behaviour::new)?
.build();
// Listen on all interfaces and whatever port the OS assigns
swarm.listen_on("/ip4/0.0.0.0/tcp/0".parse()?)?;
Ok(swarm)
}
mod transport {
use crate::alias;
use crate::swarm::{NETWORK_VERSION, OVERRIDE_VERSION_ENV_VAR};
use futures_lite::{AsyncRead, AsyncWrite};
use keccak_const::Sha3_256;
use libp2p::core::muxing;
use libp2p::core::transport::Boxed;
use libp2p::pnet::{PnetError, PnetOutput};
use libp2p::{PeerId, Transport, identity, noise, pnet, yamux};
use std::{env, sync::LazyLock};
/// Key used for networking's private network; parametrized on the [`NETWORK_VERSION`].
/// See [`pnet_upgrade`] for more.
static PNET_PRESHARED_KEY: LazyLock<[u8; 32]> = LazyLock::new(|| {
let builder = Sha3_256::new().update(b"exo_discovery_network");
if let Ok(var) = env::var(OVERRIDE_VERSION_ENV_VAR) {
let bytes = var.into_bytes();
builder.update(&bytes)
} else {
builder.update(NETWORK_VERSION)
}
.finalize()
});
/// Make the Swarm run on a private network, as to not clash with public libp2p nodes and
/// also different-versioned instances of this same network.
/// This is implemented as an additional "upgrade" ontop of existing [`libp2p::Transport`] layers.
async fn pnet_upgrade<TSocket>(
socket: TSocket,
_: impl Sized,
) -> Result<PnetOutput<TSocket>, PnetError>
where
TSocket: AsyncRead + AsyncWrite + Send + Unpin + 'static,
{
use pnet::{PnetConfig, PreSharedKey};
PnetConfig::new(PreSharedKey::new(*PNET_PRESHARED_KEY))
.handshake(socket)
.await
}
/// TCP/IP transport layer configuration.
pub fn tcp_transport(
keypair: &identity::Keypair,
) -> alias::AnyResult<Boxed<(PeerId, muxing::StreamMuxerBox)>> {
use libp2p::{
core::upgrade::Version,
tcp::{Config, tokio},
};
// `TCP_NODELAY` enabled => avoid latency
let tcp_config = Config::default().nodelay(true);
// V1 + lazy flushing => 0-RTT negotiation
let upgrade_version = Version::V1Lazy;
// Noise is faster than TLS + we don't care much for security
let noise_config = noise::Config::new(keypair)?;
// Use default Yamux config for multiplexing
let yamux_config = yamux::Config::default();
// Create new Tokio-driven TCP/IP transport layer
let base_transport = tokio::Transport::new(tcp_config)
.and_then(pnet_upgrade)
.upgrade(upgrade_version)
.authenticate(noise_config)
.multiplex(yamux_config);
// Return boxed transport (to flatten complex type)
Ok(base_transport.boxed())
}
}
mod behaviour {
use crate::{alias, discovery};
use libp2p::swarm::NetworkBehaviour;
use libp2p::{gossipsub, identity};
/// Behavior of the Swarm which composes all desired behaviors:
/// Right now its just [`discovery::Behaviour`] and [`gossipsub::Behaviour`].
#[derive(NetworkBehaviour)]
pub struct Behaviour {
pub discovery: discovery::Behaviour,
pub gossipsub: gossipsub::Behaviour,
}
impl Behaviour {
pub fn new(keypair: &identity::Keypair) -> alias::AnyResult<Self> {
Ok(Self {
discovery: discovery::Behaviour::new(keypair)?,
gossipsub: gossipsub_behaviour(keypair),
})
}
}
fn gossipsub_behaviour(keypair: &identity::Keypair) -> gossipsub::Behaviour {
use gossipsub::{ConfigBuilder, MessageAuthenticity, ValidationMode};
// build a gossipsub network behaviour
// => signed message authenticity + strict validation mode means the message-ID is
// automatically provided by gossipsub w/out needing to provide custom message-ID function
gossipsub::Behaviour::new(
MessageAuthenticity::Signed(keypair.clone()),
ConfigBuilder::default()
.max_transmit_size(1024 * 1024)
.validation_mode(ValidationMode::Strict)
.build()
.expect("the configuration should always be valid"),
)
.expect("creating gossipsub behavior should always work")
}
}
-7
View File
@@ -1,7 +0,0 @@
// maybe this will hold test in the future...??
#[cfg(test)]
mod tests {
#[test]
fn does_nothing() {}
}
+3 -2
View File
@@ -1,10 +1,11 @@
{ inputs, ... }:
{
perSystem =
{ inputs', pkgs, lib, ... }:
{ config, self', inputs', pkgs, lib, ... }:
let
# Fenix nightly toolchain with all components
rustToolchain = inputs'.fenix.packages.stable.withComponents [
fenixPkgs = inputs'.fenix.packages;
rustToolchain = fenixPkgs.complete.withComponents [
"cargo"
"rustc"
"clippy"
-15
View File
@@ -1,15 +0,0 @@
[package]
name = "util"
version = { workspace = true }
edition = { workspace = true }
publish = false
[lib]
doctest = false
name = "util"
path = "src/lib.rs"
[lints]
workspace = true
[dependencies]
-1
View File
@@ -1 +0,0 @@
pub mod wakerdeque;
-55
View File
@@ -1,55 +0,0 @@
use std::collections::VecDeque;
use std::fmt::{Debug, Formatter};
use std::task::{Context, Waker};
/// A wrapper around [`VecDeque`] which wakes (if it can) on any `push_*` methods,
/// and updates the internally stored waker by consuming [`Context`] on any `pop_*` methods.
pub struct WakerDeque<T> {
waker: Option<Waker>,
deque: VecDeque<T>,
}
impl<T: Debug> Debug for WakerDeque<T> {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
self.deque.fmt(f)
}
}
impl<T> WakerDeque<T> {
pub fn new() -> Self {
Self {
waker: None,
deque: VecDeque::new(),
}
}
fn update(&mut self, cx: &mut Context<'_>) {
self.waker = Some(cx.waker().clone());
}
fn wake(&mut self) {
let Some(ref mut w) = self.waker else { return };
w.wake_by_ref();
self.waker = None;
}
pub fn pop_front(&mut self, cx: &mut Context<'_>) -> Option<T> {
self.update(cx);
self.deque.pop_front()
}
pub fn pop_back(&mut self, cx: &mut Context<'_>) -> Option<T> {
self.update(cx);
self.deque.pop_back()
}
pub fn push_front(&mut self, value: T) {
self.wake();
self.deque.push_front(value);
}
pub fn push_back(&mut self, value: T) {
self.wake();
self.deque.push_back(value);
}
}
+31 -174
View File
@@ -1,7 +1,7 @@
import asyncio
import socket
from dataclasses import dataclass, field
from random import random
from typing import Iterator
import anyio
from anyio import current_time
@@ -12,24 +12,19 @@ from exo.download.download_utils import (
RepoDownloadProgress,
delete_model,
map_repo_download_progress_to_download_progress_data,
resolve_model_in_path,
)
from exo.download.shard_downloader import ShardDownloader
from exo.shared.constants import EXO_MODELS_DIR, EXO_MODELS_PATH
from exo.shared.models.model_cards import ModelId, get_model_cards
from exo.shared.models.model_cards import ModelId
from exo.shared.types.commands import (
CancelDownload,
DeleteDownload,
ForwarderDownloadCommand,
StartDownload,
)
from exo.shared.types.common import NodeId, SessionId, SystemId
from exo.shared.types.common import NodeId, SessionId
from exo.shared.types.events import (
Event,
EventId,
# TODO(evan): just for acks, should delete this ASAP
GlobalForwarderEvent,
LocalForwarderEvent,
ForwarderEvent,
NodeDownloadProgress,
)
from exo.shared.types.worker.downloads import (
@@ -39,7 +34,7 @@ from exo.shared.types.worker.downloads import (
DownloadPending,
DownloadProgress,
)
from exo.shared.types.worker.shards import PipelineShardMetadata, ShardMetadata
from exo.shared.types.worker.shards import ShardMetadata
from exo.utils.channels import Receiver, Sender, channel
@@ -49,15 +44,8 @@ class DownloadCoordinator:
session_id: SessionId
shard_downloader: ShardDownloader
download_command_receiver: Receiver[ForwarderDownloadCommand]
local_event_sender: Sender[LocalForwarderEvent]
# ack stuff
_global_event_receiver: Receiver[GlobalForwarderEvent]
_out_for_delivery: dict[EventId, LocalForwarderEvent] = field(default_factory=dict)
offline: bool = False
_system_id: SystemId = field(default_factory=SystemId)
local_event_sender: Sender[ForwarderEvent]
event_index_counter: Iterator[int]
# Local state
download_status: dict[ModelId, DownloadProgress] = field(default_factory=dict)
@@ -73,13 +61,8 @@ class DownloadCoordinator:
def __post_init__(self) -> None:
self.event_sender, self.event_receiver = channel[Event]()
if self.offline:
self.shard_downloader.set_internet_connection(False)
self.shard_downloader.on_progress(self._download_progress_callback)
def _model_dir(self, model_id: ModelId) -> str:
return str(EXO_MODELS_DIR / model_id.normalize())
async def _download_progress_callback(
self, callback_shard: ShardMetadata, progress: RepoDownloadProgress
) -> None:
@@ -90,8 +73,7 @@ class DownloadCoordinator:
completed = DownloadCompleted(
shard_metadata=callback_shard,
node_id=self.node_id,
total=progress.total,
model_directory=self._model_dir(model_id),
total_bytes=progress.total_bytes,
)
self.download_status[model_id] = completed
await self.event_sender.send(
@@ -111,7 +93,6 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
progress
),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = ongoing
await self.event_sender.send(
@@ -120,36 +101,23 @@ class DownloadCoordinator:
self._last_progress_time[model_id] = current_time()
async def run(self) -> None:
logger.info(
f"Starting DownloadCoordinator{' (offline mode)' if self.offline else ''}"
)
if not self.offline:
self._test_internet_connection()
try:
async with self._tg as tg:
tg.start_soon(self._command_processor)
tg.start_soon(self._forward_events)
tg.start_soon(self._emit_existing_download_progress)
tg.start_soon(self._resend_out_for_delivery)
tg.start_soon(self._clear_ofd)
if not self.offline:
tg.start_soon(self._check_internet_connection)
finally:
for task in self.active_downloads.values():
task.cancel()
logger.info("Starting DownloadCoordinator")
self._test_internet_connection()
async with self._tg as tg:
tg.start_soon(self._command_processor)
tg.start_soon(self._forward_events)
tg.start_soon(self._emit_existing_download_progress)
tg.start_soon(self._check_internet_connection)
def _test_internet_connection(self) -> None:
# Try multiple endpoints since some ISPs/networks block specific IPs
for host in ("1.1.1.1", "8.8.8.8", "1.0.0.1"):
try:
socket.create_connection((host, 443), timeout=3).close()
self.shard_downloader.set_internet_connection(True)
logger.debug(f"Internet connectivity: True (via {host})")
return
except OSError:
continue
self.shard_downloader.set_internet_connection(False)
logger.debug("Internet connectivity: False")
try:
socket.create_connection(("1.1.1.1", 443), timeout=3).close()
self.shard_downloader.set_internet_connection(True)
except OSError:
self.shard_downloader.set_internet_connection(False)
logger.debug(
f"Internet connectivity: {self.shard_downloader.internet_connection}"
)
async def _check_internet_connection(self) -> None:
first_connection = True
@@ -169,20 +137,6 @@ class DownloadCoordinator:
def shutdown(self) -> None:
self._tg.cancel_scope.cancel()
# directly copied from worker
async def _resend_out_for_delivery(self) -> None:
# This can also be massively tightened, we should check events are at least a certain age before resending.
# Exponential backoff would also certainly help here.
while True:
await anyio.sleep(1 + random())
for event in self._out_for_delivery.copy().values():
await self.local_event_sender.send(event)
async def _clear_ofd(self) -> None:
with self._global_event_receiver as events:
async for event in events:
self._out_for_delivery.pop(event.event.event_id, None)
async def _command_processor(self) -> None:
with self.download_command_receiver as commands:
async for cmd in commands:
@@ -215,31 +169,8 @@ class DownloadCoordinator:
)
return
# Check EXO_MODELS_PATH for pre-downloaded models
found_path = resolve_model_in_path(model_id)
if found_path is not None:
logger.info(
f"DownloadCoordinator: Model {model_id} found in EXO_MODELS_PATH at {found_path}"
)
completed = DownloadCompleted(
shard_metadata=shard,
node_id=self.node_id,
total=shard.model_card.storage_size,
model_directory=str(found_path),
read_only=True,
)
self.download_status[model_id] = completed
await self.event_sender.send(
NodeDownloadProgress(download_progress=completed)
)
return
# Emit pending status
progress = DownloadPending(
shard_metadata=shard,
node_id=self.node_id,
model_directory=self._model_dir(model_id),
)
progress = DownloadPending(shard_metadata=shard, node_id=self.node_id)
self.download_status[model_id] = progress
await self.event_sender.send(NodeDownloadProgress(download_progress=progress))
@@ -252,8 +183,7 @@ class DownloadCoordinator:
completed = DownloadCompleted(
shard_metadata=shard,
node_id=self.node_id,
total=initial_progress.total,
model_directory=self._model_dir(model_id),
total_bytes=initial_progress.total_bytes,
)
self.download_status[model_id] = completed
await self.event_sender.send(
@@ -261,20 +191,6 @@ class DownloadCoordinator:
)
return
if self.offline:
logger.warning(
f"Offline mode: model {model_id} is not fully available locally, cannot download"
)
failed = DownloadFailed(
shard_metadata=shard,
node_id=self.node_id,
error_message=f"Model files not found locally in offline mode: {model_id}",
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = failed
await self.event_sender.send(NodeDownloadProgress(download_progress=failed))
return
# Start actual download
self._start_download_task(shard, initial_progress)
@@ -290,7 +206,6 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
initial_progress
),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = status
self.event_sender.send_nowait(NodeDownloadProgress(download_progress=status))
@@ -304,7 +219,6 @@ class DownloadCoordinator:
shard_metadata=shard,
node_id=self.node_id,
error_message=str(e),
model_directory=self._model_dir(model_id),
)
self.download_status[model_id] = failed
await self.event_sender.send(
@@ -318,15 +232,6 @@ class DownloadCoordinator:
self.active_downloads[model_id] = task
async def _delete_download(self, model_id: ModelId) -> None:
# Protect read-only models (from EXO_MODELS_PATH) from deletion
if model_id in self.download_status:
current = self.download_status[model_id]
if isinstance(current, DownloadCompleted) and current.read_only:
logger.warning(
f"Refusing to delete read-only model {model_id} (from EXO_MODELS_PATH)"
)
return
# Cancel if active
if model_id in self.active_downloads:
logger.info(f"Cancelling active download for {model_id} before deletion")
@@ -348,7 +253,6 @@ class DownloadCoordinator:
pending = DownloadPending(
shard_metadata=current_status.shard_metadata,
node_id=self.node_id,
model_directory=self._model_dir(model_id),
)
await self.event_sender.send(
NodeDownloadProgress(download_progress=pending)
@@ -356,21 +260,19 @@ class DownloadCoordinator:
del self.download_status[model_id]
async def _forward_events(self) -> None:
idx = 0
with self.event_receiver as events:
async for event in events:
fe = LocalForwarderEvent(
idx = next(self.event_index_counter)
fe = ForwarderEvent(
origin_idx=idx,
origin=self._system_id,
origin=self.node_id,
session=self.session_id,
event=event,
)
idx += 1
logger.debug(
f"DownloadCoordinator published event {idx}: {str(event)[:100]}"
)
await self.local_event_sender.send(fe)
self._out_for_delivery[event.event_id] = fe
async def _emit_existing_download_progress(self) -> None:
try:
@@ -392,21 +294,12 @@ class DownloadCoordinator:
status: DownloadProgress = DownloadCompleted(
node_id=self.node_id,
shard_metadata=progress.shard,
total=progress.total,
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
total_bytes=progress.total_bytes,
)
elif progress.status in ["in_progress", "not_started"]:
if progress.downloaded_this_session.in_bytes == 0:
if progress.downloaded_bytes_this_session.in_bytes == 0:
status = DownloadPending(
node_id=self.node_id,
shard_metadata=progress.shard,
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
downloaded=progress.downloaded,
total=progress.total,
node_id=self.node_id, shard_metadata=progress.shard
)
else:
status = DownloadOngoing(
@@ -415,9 +308,6 @@ class DownloadCoordinator:
download_progress=map_repo_download_progress_to_download_progress_data(
progress
),
model_directory=self._model_dir(
progress.shard.model_card.model_id
),
)
else:
continue
@@ -426,39 +316,6 @@ class DownloadCoordinator:
await self.event_sender.send(
NodeDownloadProgress(download_progress=status)
)
# Scan EXO_MODELS_PATH for pre-downloaded models
if EXO_MODELS_PATH is not None:
for card in await get_model_cards():
mid = card.model_id
if mid in self.active_downloads:
continue
if isinstance(
self.download_status.get(mid),
(DownloadCompleted, DownloadOngoing, DownloadFailed),
):
continue
found = resolve_model_in_path(mid)
if found is not None:
path_shard = PipelineShardMetadata(
model_card=card,
device_rank=0,
world_size=1,
start_layer=0,
end_layer=card.n_layers,
n_layers=card.n_layers,
)
path_completed: DownloadProgress = DownloadCompleted(
node_id=self.node_id,
shard_metadata=path_shard,
total=card.storage_size,
model_directory=str(found),
read_only=True,
)
self.download_status[mid] = path_completed
await self.event_sender.send(
NodeDownloadProgress(download_progress=path_completed)
)
logger.debug(
"DownloadCoordinator: Done emitting existing download progress."
)
+76 -119
View File
@@ -20,6 +20,7 @@ from huggingface_hub import (
)
from loguru import logger
from pydantic import (
DirectoryPath,
TypeAdapter,
)
@@ -30,7 +31,7 @@ from exo.download.huggingface_utils import (
get_hf_endpoint,
get_hf_token,
)
from exo.shared.constants import EXO_MODELS_DIR, EXO_MODELS_PATH
from exo.shared.constants import EXO_MODELS_DIR
from exo.shared.models.model_cards import ModelTask
from exo.shared.types.common import ModelId
from exo.shared.types.memory import Memory
@@ -79,9 +80,9 @@ def map_repo_file_download_progress_to_download_progress_data(
repo_file_download_progress: RepoFileDownloadProgress,
) -> DownloadProgressData:
return DownloadProgressData(
downloaded=repo_file_download_progress.downloaded,
downloaded_this_session=repo_file_download_progress.downloaded_this_session,
total=repo_file_download_progress.total,
downloaded_bytes=repo_file_download_progress.downloaded,
downloaded_bytes_this_session=repo_file_download_progress.downloaded_this_session,
total_bytes=repo_file_download_progress.total,
completed_files=1 if repo_file_download_progress.status == "complete" else 0,
total_files=1,
speed=repo_file_download_progress.speed,
@@ -94,9 +95,9 @@ def map_repo_download_progress_to_download_progress_data(
repo_download_progress: RepoDownloadProgress,
) -> DownloadProgressData:
return DownloadProgressData(
total=repo_download_progress.total,
downloaded=repo_download_progress.downloaded,
downloaded_this_session=repo_download_progress.downloaded_this_session,
total_bytes=repo_download_progress.total_bytes,
downloaded_bytes=repo_download_progress.downloaded_bytes,
downloaded_bytes_this_session=repo_download_progress.downloaded_bytes_this_session,
completed_files=repo_download_progress.completed_files,
total_files=repo_download_progress.total_files,
speed=repo_download_progress.overall_speed,
@@ -110,27 +111,7 @@ def map_repo_download_progress_to_download_progress_data(
)
def resolve_model_in_path(model_id: ModelId) -> Path | None:
"""Search EXO_MODELS_PATH directories for a pre-existing model.
Checks each directory for the normalized name (org--model). A candidate
is only returned if ``is_model_directory_complete`` confirms all weight
files are present.
"""
if EXO_MODELS_PATH is None:
return None
normalized = model_id.normalize()
for search_dir in EXO_MODELS_PATH:
candidate = search_dir / normalized
if candidate.is_dir() and is_model_directory_complete(candidate):
return candidate
return None
def build_model_path(model_id: ModelId) -> Path:
found = resolve_model_in_path(model_id)
if found is not None:
return found
def build_model_path(model_id: ModelId) -> DirectoryPath:
return EXO_MODELS_DIR / model_id.normalize()
@@ -161,7 +142,7 @@ async def delete_model(model_id: ModelId) -> bool:
async def seed_models(seed_dir: str | Path):
"""Move models from resources folder to EXO_MODELS_DIR."""
"""Move model in resources folder of app to .cache/huggingface/hub"""
source_dir = Path(seed_dir)
dest_dir = await ensure_models_dir()
for path in source_dir.iterdir():
@@ -177,72 +158,6 @@ async def seed_models(seed_dir: str | Path):
logger.error(traceback.format_exc())
def _scan_model_directory(
model_dir: Path, recursive: bool = False
) -> list[FileListEntry] | None:
"""Scan a local model directory and build a file list.
Requires at least one ``*.safetensors.index.json``. Every weight file
referenced by the index that is missing on disk gets ``size=None``.
"""
index_files = list(model_dir.glob("**/*.safetensors.index.json"))
if not index_files:
return None
entries_by_path: dict[str, FileListEntry] = {}
if recursive:
for dirpath, _, filenames in os.walk(model_dir):
for filename in filenames:
if filename.endswith(".partial"):
continue
full_path = Path(dirpath) / filename
rel_path = str(full_path.relative_to(model_dir))
entries_by_path[rel_path] = FileListEntry(
type="file",
path=rel_path,
size=full_path.stat().st_size,
)
else:
for item in model_dir.iterdir():
if item.is_file() and not item.name.endswith(".partial"):
entries_by_path[item.name] = FileListEntry(
type="file",
path=item.name,
size=item.stat().st_size,
)
# Add expected weight files from index that haven't been downloaded yet
for index_file in index_files:
try:
index_data = ModelSafetensorsIndex.model_validate_json(
index_file.read_text()
)
relative_dir = index_file.parent.relative_to(model_dir)
for filename in set(index_data.weight_map.values()):
rel_path = (
str(relative_dir / filename)
if relative_dir != Path(".")
else filename
)
if rel_path not in entries_by_path:
entries_by_path[rel_path] = FileListEntry(
type="file",
path=rel_path,
size=None,
)
except Exception:
continue
return list(entries_by_path.values())
def is_model_directory_complete(model_dir: Path) -> bool:
"""Check if a model directory contains all required weight files."""
file_list = _scan_model_directory(model_dir, recursive=True)
return file_list is not None and all(f.size is not None for f in file_list)
async def _build_file_list_from_local_directory(
model_id: ModelId,
recursive: bool = False,
@@ -257,7 +172,59 @@ async def _build_file_list_from_local_directory(
if not await aios.path.exists(model_dir):
return None
file_list = await asyncio.to_thread(_scan_model_directory, model_dir, recursive)
def _scan() -> list[FileListEntry] | None:
index_files = list(model_dir.glob("**/*.safetensors.index.json"))
if not index_files:
return None
entries_by_path: dict[str, FileListEntry] = {}
if recursive:
for dirpath, _, filenames in os.walk(model_dir):
for filename in filenames:
if filename.endswith(".partial"):
continue
full_path = Path(dirpath) / filename
rel_path = str(full_path.relative_to(model_dir))
entries_by_path[rel_path] = FileListEntry(
type="file",
path=rel_path,
size=full_path.stat().st_size,
)
else:
for item in model_dir.iterdir():
if item.is_file() and not item.name.endswith(".partial"):
entries_by_path[item.name] = FileListEntry(
type="file",
path=item.name,
size=item.stat().st_size,
)
# Add expected weight files from index that haven't been downloaded yet
for index_file in index_files:
try:
index_data = ModelSafetensorsIndex.model_validate_json(
index_file.read_text()
)
relative_dir = index_file.parent.relative_to(model_dir)
for filename in set(index_data.weight_map.values()):
rel_path = (
str(relative_dir / filename)
if relative_dir != Path(".")
else filename
)
if rel_path not in entries_by_path:
entries_by_path[rel_path] = FileListEntry(
type="file",
path=rel_path,
size=None,
)
except Exception:
continue
return list(entries_by_path.values())
file_list = await asyncio.to_thread(_scan)
if not file_list:
return None
return file_list
@@ -481,13 +448,12 @@ async def download_file_with_retry(
target_dir: Path,
on_progress: Callable[[int, int, bool], None] = lambda _, __, ___: None,
on_connection_lost: Callable[[], None] = lambda: None,
skip_internet: bool = False,
) -> Path:
n_attempts = 3
for attempt in range(n_attempts):
try:
return await _download_file(
model_id, revision, path, target_dir, on_progress, skip_internet
model_id, revision, path, target_dir, on_progress
)
except HuggingFaceAuthenticationError:
raise
@@ -521,14 +487,10 @@ async def _download_file(
path: str,
target_dir: Path,
on_progress: Callable[[int, int, bool], None] = lambda _, __, ___: None,
skip_internet: bool = False,
) -> Path:
target_path = target_dir / path
if await aios.path.exists(target_path):
if skip_internet:
return target_path
local_size = (await aios.stat(target_path)).st_size
# Try to verify against remote, but allow offline operation
@@ -548,11 +510,6 @@ async def _download_file(
)
return target_path
if skip_internet:
raise FileNotFoundError(
f"File {path} not found locally and cannot download in offline mode"
)
await aios.makedirs((target_dir / path).parent, exist_ok=True)
length, etag = await file_meta(model_id, revision, path)
remote_hash = etag[:-5] if etag.endswith("-gzip") else etag
@@ -611,20 +568,19 @@ def calculate_repo_progress(
file_progress: dict[str, RepoFileDownloadProgress],
all_start_time: float,
) -> RepoDownloadProgress:
all_total = sum((p.total for p in file_progress.values()), Memory.from_bytes(0))
all_downloaded = sum(
(p.downloaded for p in file_progress.values()), Memory.from_bytes(0)
all_total_bytes = sum((p.total.in_bytes for p in file_progress.values()), 0)
all_downloaded_bytes = sum(
(p.downloaded.in_bytes for p in file_progress.values()), 0
)
all_downloaded_this_session = sum(
(p.downloaded_this_session for p in file_progress.values()),
Memory.from_bytes(0),
all_downloaded_bytes_this_session = sum(
(p.downloaded_this_session.in_bytes for p in file_progress.values()), 0
)
elapsed_time = time.time() - all_start_time
all_speed = (
all_downloaded_this_session.in_bytes / elapsed_time if elapsed_time > 0 else 0
all_downloaded_bytes_this_session / elapsed_time if elapsed_time > 0 else 0
)
all_eta = (
timedelta(seconds=(all_total - all_downloaded).in_bytes / all_speed)
timedelta(seconds=(all_total_bytes - all_downloaded_bytes) / all_speed)
if all_speed > 0
else timedelta(seconds=0)
)
@@ -643,9 +599,11 @@ def calculate_repo_progress(
[p for p in file_progress.values() if p.downloaded == p.total]
),
total_files=len(file_progress),
downloaded=all_downloaded,
downloaded_this_session=all_downloaded_this_session,
total=all_total,
downloaded_bytes=Memory.from_bytes(all_downloaded_bytes),
downloaded_bytes_this_session=Memory.from_bytes(
all_downloaded_bytes_this_session
),
total_bytes=Memory.from_bytes(all_total_bytes),
overall_speed=all_speed,
overall_eta=all_eta,
status=status,
@@ -856,7 +814,6 @@ async def download_shard(
file, curr_bytes, total_bytes, is_renamed
),
on_connection_lost=on_connection_lost,
skip_internet=skip_internet,
)
if not skip_download:
+3 -3
View File
@@ -107,9 +107,9 @@ NOOP_DOWNLOAD_PROGRESS = RepoDownloadProgress(
),
completed_files=0,
total_files=0,
downloaded=Memory.from_bytes(0),
downloaded_this_session=Memory.from_bytes(0),
total=Memory.from_bytes(0),
downloaded_bytes=Memory.from_bytes(0),
downloaded_bytes_this_session=Memory.from_bytes(0),
total_bytes=Memory.from_bytes(0),
overall_speed=0,
overall_eta=timedelta(seconds=0),
status="complete",
@@ -1,98 +0,0 @@
from typing import Any
import anyio
import pytest
from exo.download.coordinator import DownloadCoordinator
from exo.download.shard_downloader import NoopShardDownloader
from exo.shared.models.model_cards import ModelCard, ModelTask
from exo.shared.types.common import ModelId, NodeId, SessionId
from exo.shared.types.events import (
GlobalForwarderEvent,
LocalForwarderEvent,
NodeDownloadProgress,
)
from exo.shared.types.memory import Memory
from exo.shared.types.worker.downloads import (
DownloadPending,
)
from exo.shared.types.worker.shards import PipelineShardMetadata
from exo.utils.channels import channel
# Use the builtin NoopShardDownloader directly it already implements the required abstract interface.
# No additional subclass is needed for this test.
@pytest.mark.anyio
async def test_ack_behaviour():
# Create channels (type Any for simplicity)
_, command_receiver = channel[Any]()
local_sender, _ = channel[Any]()
global_sender, global_receiver = channel[Any]()
# Minimal identifiers
node_id = NodeId()
session_id = SessionId(master_node_id=node_id, election_clock=0)
# Create a dummy model card and shard metadata
model_id = ModelId("test/model")
model_card = ModelCard(
model_id=model_id,
storage_size=Memory.from_bytes(0),
n_layers=1,
hidden_size=1,
supports_tensor=True,
tasks=[ModelTask.TextGeneration],
)
shard = PipelineShardMetadata(
model_card=model_card,
device_rank=0,
world_size=1,
start_layer=0,
end_layer=1,
n_layers=1,
)
# Instantiate the coordinator with the dummy downloader
coord = DownloadCoordinator(
node_id=node_id,
session_id=session_id,
shard_downloader=NoopShardDownloader(),
download_command_receiver=command_receiver,
local_event_sender=local_sender,
_global_event_receiver=global_receiver,
)
async with anyio.create_task_group() as tg:
# Start the forwarding and ackclearing loops
tg.start_soon(coord._forward_events) # pyright: ignore[reportPrivateUsage]
tg.start_soon(coord._clear_ofd) # pyright: ignore[reportPrivateUsage]
# Send a pending download progress event via the internal event sender
pending = DownloadPending(
node_id=node_id,
shard_metadata=shard,
model_directory="/tmp/model",
)
await coord.event_sender.send(NodeDownloadProgress(download_progress=pending))
# Allow the forwarder to process the event
await anyio.sleep(0.1)
# There should be exactly one entry awaiting ACK
assert len(coord._out_for_delivery) == 1 # pyright: ignore[reportPrivateUsage]
# Retrieve the stored LocalForwarderEvent
stored_fe: LocalForwarderEvent = next(iter(coord._out_for_delivery.values())) # pyright: ignore[reportPrivateUsage]
# Simulate receiving a global ack for this event
ack = GlobalForwarderEvent(
origin_idx=0,
origin=node_id,
session=session_id,
event=stored_fe.event,
)
await global_sender.send(ack)
# Give the clearofd task a moment to process the ack
await anyio.sleep(0.1)
# The outfordelivery map should now be empty
assert len(coord._out_for_delivery) == 0 # pyright: ignore[reportPrivateUsage]
# Cancel background tasks
tg.cancel_scope.cancel()
-230
View File
@@ -1,230 +0,0 @@
"""Tests for offline/air-gapped mode."""
from collections.abc import AsyncIterator
from pathlib import Path
from unittest.mock import AsyncMock, patch
import aiofiles
import aiofiles.os as aios
import pytest
from exo.download.download_utils import (
_download_file, # pyright: ignore[reportPrivateUsage]
download_file_with_retry,
fetch_file_list_with_cache,
)
from exo.shared.types.common import ModelId
from exo.shared.types.worker.downloads import FileListEntry
@pytest.fixture
def model_id() -> ModelId:
return ModelId("test-org/test-model")
@pytest.fixture
async def temp_models_dir(tmp_path: Path) -> AsyncIterator[Path]:
models_dir = tmp_path / "models"
await aios.makedirs(models_dir, exist_ok=True)
with patch("exo.download.download_utils.EXO_MODELS_DIR", models_dir):
yield models_dir
class TestDownloadFileOffline:
"""Tests for _download_file with skip_internet=True."""
async def test_returns_local_file_without_http_verification(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file exists locally, return it immediately
without making any HTTP calls (no file_meta verification)."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
local_file = target_dir / "model.safetensors"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b"model weights data")
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await _download_file(
model_id,
"main",
"model.safetensors",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
async def test_raises_file_not_found_for_missing_file(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file does NOT exist locally,
raise FileNotFoundError instead of attempting download."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
with pytest.raises(FileNotFoundError, match="offline mode"):
await _download_file(
model_id,
"main",
"missing_model.safetensors",
target_dir,
skip_internet=True,
)
async def test_returns_local_file_in_subdirectory(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""When skip_internet=True and file exists in a subdirectory,
return it without HTTP calls."""
target_dir = tmp_path / "downloads"
subdir = target_dir / "transformer"
await aios.makedirs(subdir, exist_ok=True)
local_file = subdir / "diffusion_pytorch_model.safetensors"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b"weights")
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await _download_file(
model_id,
"main",
"transformer/diffusion_pytorch_model.safetensors",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
class TestDownloadFileWithRetryOffline:
"""Tests for download_file_with_retry with skip_internet=True."""
async def test_propagates_skip_internet_to_download_file(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""Verify skip_internet is passed through to _download_file."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
local_file = target_dir / "config.json"
async with aiofiles.open(local_file, "wb") as f:
await f.write(b'{"model_type": "qwen2"}')
with patch(
"exo.download.download_utils.file_meta",
new_callable=AsyncMock,
) as mock_file_meta:
result = await download_file_with_retry(
model_id,
"main",
"config.json",
target_dir,
skip_internet=True,
)
assert result == local_file
mock_file_meta.assert_not_called()
async def test_file_not_found_does_not_retry(
self, model_id: ModelId, tmp_path: Path
) -> None:
"""FileNotFoundError from offline mode should not trigger retries."""
target_dir = tmp_path / "downloads"
await aios.makedirs(target_dir, exist_ok=True)
with pytest.raises(FileNotFoundError):
await download_file_with_retry(
model_id,
"main",
"nonexistent.safetensors",
target_dir,
skip_internet=True,
)
class TestFetchFileListOffline:
"""Tests for fetch_file_list_with_cache with skip_internet=True."""
async def test_uses_cached_file_list(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and cache file exists, use it without network."""
from pydantic import TypeAdapter
cache_dir = temp_models_dir / "caches" / model_id.normalize()
await aios.makedirs(cache_dir, exist_ok=True)
cached_list = [
FileListEntry(type="file", path="model.safetensors", size=1000),
FileListEntry(type="file", path="config.json", size=200),
]
cache_file = cache_dir / f"{model_id.normalize()}--main--file_list.json"
async with aiofiles.open(cache_file, "w") as f:
await f.write(
TypeAdapter(list[FileListEntry]).dump_json(cached_list).decode()
)
with patch(
"exo.download.download_utils.fetch_file_list_with_retry",
new_callable=AsyncMock,
) as mock_fetch:
result = await fetch_file_list_with_cache(
model_id, "main", skip_internet=True
)
assert result == cached_list
mock_fetch.assert_not_called()
async def test_falls_back_to_local_directory_scan(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and no cache but local files exist,
build file list from local directory."""
import json
model_dir = temp_models_dir / model_id.normalize()
await aios.makedirs(model_dir, exist_ok=True)
async with aiofiles.open(model_dir / "config.json", "w") as f:
await f.write('{"model_type": "qwen2"}')
index_data = {
"metadata": {},
"weight_map": {"model.layers.0.weight": "model.safetensors"},
}
async with aiofiles.open(model_dir / "model.safetensors.index.json", "w") as f:
await f.write(json.dumps(index_data))
async with aiofiles.open(model_dir / "model.safetensors", "wb") as f:
await f.write(b"x" * 500)
with patch(
"exo.download.download_utils.fetch_file_list_with_retry",
new_callable=AsyncMock,
) as mock_fetch:
result = await fetch_file_list_with_cache(
model_id, "main", skip_internet=True
)
mock_fetch.assert_not_called()
paths = {entry.path for entry in result}
assert "config.json" in paths
assert "model.safetensors" in paths
async def test_raises_when_no_cache_and_no_local_files(
self, model_id: ModelId, temp_models_dir: Path
) -> None:
"""When skip_internet=True and neither cache nor local files exist,
raise FileNotFoundError."""
with pytest.raises(FileNotFoundError, match="No internet"):
await fetch_file_list_with_cache(model_id, "main", skip_internet=True)
+32 -32
View File
@@ -1,10 +1,12 @@
import argparse
import importlib.metadata
import itertools
import multiprocessing as mp
import os
import resource
import signal
from dataclasses import dataclass, field
from typing import Self
from typing import Iterator, Self
import anyio
from anyio.abc import TaskGroup
@@ -37,15 +39,15 @@ class Node:
api: API | None
node_id: NodeId
offline: bool
event_index_counter: Iterator[int]
_tg: TaskGroup = field(init=False, default_factory=anyio.create_task_group)
@classmethod
async def create(cls, args: "Args") -> Self:
async def create(cls, args: "Args") -> "Self":
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_node_id())
node_id = NodeId(keypair.to_string())
session_id = SessionId(master_node_id=node_id, election_clock=0)
router = Router.create(keypair)
router = Router.create(keypair, namespace=args.namespace)
await router.register_topic(topics.GLOBAL_EVENTS)
await router.register_topic(topics.LOCAL_EVENTS)
await router.register_topic(topics.COMMANDS)
@@ -55,6 +57,9 @@ class Node:
logger.info(f"Starting node {node_id}")
# Create shared event index counter for Worker and DownloadCoordinator
event_index_counter = itertools.count()
# Create DownloadCoordinator (unless --no-downloads)
if not args.no_downloads:
download_coordinator = DownloadCoordinator(
@@ -63,14 +68,12 @@ class Node:
exo_shard_downloader(),
download_command_receiver=router.receiver(topics.DOWNLOAD_COMMANDS),
local_event_sender=router.sender(topics.LOCAL_EVENTS),
offline=args.offline,
# TODO(evan): remove
_global_event_receiver=router.receiver(topics.GLOBAL_EVENTS),
event_index_counter=event_index_counter,
)
else:
download_coordinator = None
if args.spawn_api:
if not args.no_api:
api = API(
node_id,
session_id,
@@ -91,6 +94,7 @@ class Node:
local_event_sender=router.sender(topics.LOCAL_EVENTS),
command_sender=router.sender(topics.COMMANDS),
download_command_sender=router.sender(topics.DOWNLOAD_COMMANDS),
event_index_counter=event_index_counter,
)
else:
worker = None
@@ -128,13 +132,11 @@ class Node:
master,
api,
node_id,
args.offline,
event_index_counter,
)
async def run(self):
async with self._tg as tg:
signal.signal(signal.SIGINT, lambda _, __: self.shutdown())
signal.signal(signal.SIGTERM, lambda _, __: self.shutdown())
tg.start_soon(self.router.run)
tg.start_soon(self.election.run)
if self.download_coordinator:
@@ -146,6 +148,8 @@ class Node:
if self.api:
tg.start_soon(self.api.run)
tg.start_soon(self._elect_loop)
signal.signal(signal.SIGINT, lambda _, __: self.shutdown())
signal.signal(signal.SIGTERM, lambda _, __: self.shutdown())
def shutdown(self):
# if this is our second call to shutdown, just sys.exit
@@ -206,6 +210,8 @@ class Node:
)
if result.is_new_master:
await anyio.sleep(0)
# Fresh counter for new session (buffer expects indices from 0)
self.event_index_counter = itertools.count()
if self.download_coordinator:
self.download_coordinator.shutdown()
self.download_coordinator = DownloadCoordinator(
@@ -216,11 +222,7 @@ class Node:
topics.DOWNLOAD_COMMANDS
),
local_event_sender=self.router.sender(topics.LOCAL_EVENTS),
offline=self.offline,
# TODO(evan): remove
_global_event_receiver=self.router.receiver(
topics.GLOBAL_EVENTS
),
event_index_counter=self.event_index_counter,
)
self._tg.start_soon(self.download_coordinator.run)
if self.worker:
@@ -237,6 +239,7 @@ class Node:
download_command_sender=self.router.sender(
topics.DOWNLOAD_COMMANDS
),
event_index_counter=self.event_index_counter,
)
self._tg.start_soon(self.worker.run)
if self.api:
@@ -256,10 +259,7 @@ def main():
# TODO: Refactor the current verbosity system
logger_setup(EXO_LOG, args.verbosity)
logger.info("Starting EXO")
logger.info(f"EXO_LIBP2P_NAMESPACE: {os.getenv('EXO_LIBP2P_NAMESPACE')}")
if args.offline:
logger.info("Running in OFFLINE mode — no internet checks, local models only")
logger.info(f"Namespace: {args.namespace}")
# Set FAST_SYNCH override env var for runner subprocesses
if args.fast_synch is True:
@@ -276,14 +276,13 @@ def main():
class Args(CamelCaseModel):
verbosity: int = 0
force_master: bool = False
spawn_api: bool = False
api_port: PositiveInt = 52415
tb_only: bool = False
verbosity: int
force_master: bool
no_api: bool
api_port: PositiveInt
no_worker: bool = False
no_downloads: bool = False
offline: bool = False
namespace: str
fast_synch: bool | None = None # None = auto, True = force on, False = force off
@classmethod
@@ -313,14 +312,15 @@ class Args(CamelCaseModel):
)
parser.add_argument(
"--no-api",
action="store_false",
dest="spawn_api",
action="store_true",
help="Disable the API server for this node",
)
parser.add_argument(
"--api-port",
type=int,
dest="api_port",
default=52415,
help="Which port the API server will be available on",
)
parser.add_argument(
"--no-worker",
@@ -332,9 +332,9 @@ class Args(CamelCaseModel):
help="Disable the download coordinator (node won't download models)",
)
parser.add_argument(
"--offline",
action="store_true",
help="Run in offline/air-gapped mode: skip internet checks, use only pre-staged local models",
"--namespace",
default=importlib.metadata.version("exo"),
help="Set the EXO namespace to run multiple isolated clusters",
)
fast_synch_group = parser.add_mutually_exclusive_group()
fast_synch_group.add_argument(
+77 -116
View File
@@ -19,12 +19,7 @@ from exo.shared.types.api import (
ToolCall,
Usage,
)
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
from exo.shared.types.text_generation import InputMessage, TextGenerationTaskParams
@@ -59,11 +54,7 @@ def chat_request_to_text_generation(
chat_template_messages.append({"role": "system", "content": content})
else:
# Skip messages with no meaningful content
if (
msg.content is None
and msg.reasoning_content is None
and msg.tool_calls is None
):
if msg.content is None and msg.thinking is None and msg.tool_calls is None:
continue
if msg.role in ("user", "assistant", "developer"):
@@ -115,11 +106,6 @@ def chunk_to_response(
]
)
if chunk.is_thinking:
delta = ChatCompletionMessage(role="assistant", reasoning_content=chunk.text)
else:
delta = ChatCompletionMessage(role="assistant", content=chunk.text)
return ChatCompletionResponse(
id=command_id,
created=int(time.time()),
@@ -127,7 +113,7 @@ def chunk_to_response(
choices=[
StreamingChoiceResponse(
index=0,
delta=delta,
delta=ChatCompletionMessage(role="assistant", content=chunk.text),
logprobs=logprobs,
finish_reason=chunk.finish_reason,
)
@@ -137,87 +123,72 @@ def chunk_to_response(
async def generate_chat_stream(
command_id: CommandId,
chunk_stream: AsyncGenerator[
PrefillProgressChunk | ErrorChunk | ToolCallChunk | TokenChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate Chat Completions API streaming events from chunks."""
last_usage: Usage | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
# Use SSE comment so third-party clients ignore it
yield f": prefill_progress {chunk.model_dump_json()}\n\n"
case ErrorChunk():
error_response = ErrorResponse(
error=ErrorInfo(
message=chunk.error_message or "Internal server error",
type="InternalServerError",
code=500,
)
if isinstance(chunk, ErrorChunk):
error_response = ErrorResponse(
error=ErrorInfo(
message=chunk.error_message or "Internal server error",
type="InternalServerError",
code=500,
)
yield f"data: {error_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
)
yield f"data: {error_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
case ToolCallChunk():
last_usage = chunk.usage or last_usage
last_usage = chunk.usage or last_usage
tool_call_deltas = [
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
]
tool_response = ChatCompletionResponse(
id=command_id,
created=int(time.time()),
model=chunk.model,
choices=[
StreamingChoiceResponse(
index=0,
delta=ChatCompletionMessage(
role="assistant",
tool_calls=tool_call_deltas,
),
finish_reason="tool_calls",
)
],
usage=last_usage,
if isinstance(chunk, ToolCallChunk):
tool_call_deltas = [
ToolCall(
id=tool.id,
index=i,
function=tool,
)
yield f"data: {tool_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
case TokenChunk():
last_usage = chunk.usage or last_usage
chunk_response = chunk_to_response(chunk, command_id)
if chunk.finish_reason is not None:
chunk_response = chunk_response.model_copy(
update={"usage": last_usage}
for i, tool in enumerate(chunk.tool_calls)
]
tool_response = ChatCompletionResponse(
id=command_id,
created=int(time.time()),
model=chunk.model,
choices=[
StreamingChoiceResponse(
index=0,
delta=ChatCompletionMessage(
role="assistant",
tool_calls=tool_call_deltas,
),
finish_reason="tool_calls",
)
yield f"data: {chunk_response.model_dump_json()}\n\n"
],
usage=last_usage,
)
yield f"data: {tool_response.model_dump_json()}\n\n"
yield "data: [DONE]\n\n"
return
if chunk.finish_reason is not None:
yield "data: [DONE]\n\n"
chunk_response = chunk_to_response(chunk, command_id)
if chunk.finish_reason is not None:
chunk_response = chunk_response.model_copy(update={"usage": last_usage})
yield f"data: {chunk_response.model_dump_json()}\n\n"
if chunk.finish_reason is not None:
yield "data: [DONE]\n\n"
async def collect_chat_response(
command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ChatCompletionResponse."""
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_calls: list[ToolCall] = []
logprobs_content: list[LogprobsContentItem] = []
model: str | None = None
@@ -226,52 +197,43 @@ async def collect_chat_response(
last_usage: Usage | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
case ErrorChunk():
error_message = chunk.error_message or "Internal server error"
break
if model is None:
model = chunk.model
case TokenChunk():
if model is None:
model = chunk.model
last_usage = chunk.usage or last_usage
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
if chunk.logprob is not None:
logprobs_content.append(
LogprobsContentItem(
token=chunk.text,
logprob=chunk.logprob,
top_logprobs=chunk.top_logprobs or [],
)
last_usage = chunk.usage or last_usage
if isinstance(chunk, TokenChunk):
text_parts.append(chunk.text)
if chunk.logprob is not None:
logprobs_content.append(
LogprobsContentItem(
token=chunk.text,
logprob=chunk.logprob,
top_logprobs=chunk.top_logprobs or [],
)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
case ToolCallChunk():
if model is None:
model = chunk.model
last_usage = chunk.usage or last_usage
tool_calls.extend(
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
)
finish_reason = chunk.finish_reason
if isinstance(chunk, ToolCallChunk):
tool_calls.extend(
ToolCall(
id=tool.id,
index=i,
function=tool,
)
for i, tool in enumerate(chunk.tool_calls)
)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
if error_message is not None:
raise ValueError(error_message)
combined_text = "".join(text_parts)
combined_thinking = "".join(thinking_parts) if thinking_parts else None
assert model is not None
yield ChatCompletionResponse(
@@ -284,7 +246,6 @@ async def collect_chat_response(
message=ChatCompletionMessage(
role="assistant",
content=combined_text,
reasoning_content=combined_thinking,
tool_calls=tool_calls if tool_calls else None,
),
logprobs=Logprobs(content=logprobs_content)
+24 -130
View File
@@ -1,17 +1,11 @@
"""Claude Messages API adapter for converting requests/responses."""
import json
import re
from collections.abc import AsyncGenerator
from typing import Any
from exo.shared.types.api import FinishReason, Usage
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.claude_api import (
ClaudeContentBlock,
ClaudeContentBlockDeltaEvent,
@@ -29,8 +23,6 @@ from exo.shared.types.claude_api import (
ClaudeStopReason,
ClaudeTextBlock,
ClaudeTextDelta,
ClaudeThinkingBlock,
ClaudeThinkingDelta,
ClaudeToolResultBlock,
ClaudeToolUseBlock,
ClaudeUsage,
@@ -64,22 +56,6 @@ def _extract_tool_result_text(block: ClaudeToolResultBlock) -> str:
return "".join(sub_block.text for sub_block in block.content)
# Matches "x-anthropic-billing-header: ...;" (with optional trailing newline)
# or similar telemetry headers that change every request and break KV prefix caching.
_VOLATILE_HEADER_RE = re.compile(r"^x-anthropic-[^\n]*;\n?", re.MULTILINE)
def _strip_volatile_headers(text: str) -> str:
"""Remove Anthropic billing/telemetry headers from system prompt text.
Claude Code prepends headers like 'x-anthropic-billing-header: cc_version=...;
cc_entrypoint=...; cch=...;' that contain per-request content hashes. These
change every request and break KV prefix caching (the prefix diverges at ~20
tokens instead of matching thousands of conversation tokens).
"""
return _VOLATILE_HEADER_RE.sub("", text)
def claude_request_to_text_generation(
request: ClaudeMessagesRequest,
) -> TextGenerationTaskParams:
@@ -92,8 +68,6 @@ def claude_request_to_text_generation(
instructions = request.system
else:
instructions = "".join(block.text for block in request.system)
instructions = _strip_volatile_headers(instructions)
chat_template_messages.append({"role": "system", "content": instructions})
# Convert messages to input
@@ -106,15 +80,12 @@ def claude_request_to_text_generation(
# Process structured content blocks
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_calls: list[dict[str, Any]] = []
tool_results: list[ClaudeToolResultBlock] = []
for block in msg.content:
if isinstance(block, ClaudeTextBlock):
text_parts.append(block.text)
elif isinstance(block, ClaudeThinkingBlock):
thinking_parts.append(block.thinking)
elif isinstance(block, ClaudeToolUseBlock):
tool_calls.append(
{
@@ -130,7 +101,6 @@ def claude_request_to_text_generation(
tool_results.append(block)
content = "".join(text_parts)
reasoning_content = "".join(thinking_parts) if thinking_parts else None
# Build InputMessage from text content
if msg.role in ("user", "assistant"):
@@ -138,14 +108,9 @@ def claude_request_to_text_generation(
# Build chat_template_messages preserving tool structure
if tool_calls:
chat_msg: dict[str, Any] = {
"role": "assistant",
"content": content,
"tool_calls": tool_calls,
}
if reasoning_content:
chat_msg["reasoning_content"] = reasoning_content
chat_template_messages.append(chat_msg)
chat_template_messages.append(
{"role": "assistant", "content": content, "tool_calls": tool_calls}
)
elif tool_results:
for tr in tool_results:
chat_template_messages.append(
@@ -156,10 +121,7 @@ def claude_request_to_text_generation(
}
)
else:
chat_msg = {"role": msg.role, "content": content}
if reasoning_content:
chat_msg["reasoning_content"] = reasoning_content
chat_template_messages.append(chat_msg)
chat_template_messages.append({"role": msg.role, "content": content})
# Convert Claude tool definitions to OpenAI-style function tools
tools: list[dict[str, Any]] | None = None
@@ -176,10 +138,6 @@ def claude_request_to_text_generation(
for tool in request.tools
]
enable_thinking: bool | None = None
if request.thinking is not None:
enable_thinking = request.thinking.type in ("enabled", "adaptive")
return TextGenerationTaskParams(
model=request.model,
input=input_messages
@@ -193,7 +151,6 @@ def claude_request_to_text_generation(
stop=request.stop_sequences,
stream=request.stream,
tools=tools,
enable_thinking=enable_thinking,
chat_template_messages=chat_template_messages
if chat_template_messages
else None,
@@ -203,24 +160,18 @@ def claude_request_to_text_generation(
async def collect_claude_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ClaudeMessagesResponse."""
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_use_blocks: list[ClaudeToolUseBlock] = []
stop_reason: ClaudeStopReason | None = None
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
@@ -239,10 +190,7 @@ async def collect_claude_response(
stop_reason = "tool_use"
continue
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
text_parts.append(chunk.text)
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
@@ -251,12 +199,9 @@ async def collect_claude_response(
raise ValueError(error_message)
combined_text = "".join(text_parts)
combined_thinking = "".join(thinking_parts)
# Build content blocks
content: list[ClaudeContentBlock] = []
if combined_thinking:
content.append(ClaudeThinkingBlock(thinking=combined_thinking))
if combined_text:
content.append(ClaudeTextBlock(text=combined_text))
content.extend(tool_use_blocks)
@@ -285,9 +230,7 @@ async def collect_claude_response(
async def generate_claude_stream(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate Claude Messages API streaming events from TokenChunks."""
# Initial message_start event
@@ -301,21 +244,18 @@ async def generate_claude_stream(
start_event = ClaudeMessageStartEvent(message=initial_message)
yield f"event: message_start\ndata: {start_event.model_dump_json()}\n\n"
# content_block_start for text block at index 0
block_start = ClaudeContentBlockStartEvent(
index=0, content_block=ClaudeTextBlock(text="")
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
output_tokens = 0
stop_reason: ClaudeStopReason | None = None
last_usage: Usage | None = None
next_block_index = 0
# Track whether we've started thinking/text blocks
thinking_block_started = False
thinking_block_index = -1
text_block_started = False
text_block_index = -1
next_block_index = 1 # text block is 0, tool blocks start at 1
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
# Close text block and bail
break
@@ -355,45 +295,12 @@ async def generate_claude_stream(
output_tokens += 1 # Count each chunk as one token
if chunk.is_thinking:
# Start thinking block on first thinking token
if not thinking_block_started:
thinking_block_started = True
thinking_block_index = next_block_index
next_block_index += 1
block_start = ClaudeContentBlockStartEvent(
index=thinking_block_index,
content_block=ClaudeThinkingBlock(thinking=""),
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
delta_event = ClaudeContentBlockDeltaEvent(
index=thinking_block_index,
delta=ClaudeThinkingDelta(thinking=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
else:
# Close thinking block when transitioning to text
if thinking_block_started and text_block_index == -1:
block_stop = ClaudeContentBlockStopEvent(index=thinking_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
# Start text block on first text token
if not text_block_started:
text_block_started = True
text_block_index = next_block_index
next_block_index += 1
block_start = ClaudeContentBlockStartEvent(
index=text_block_index,
content_block=ClaudeTextBlock(text=""),
)
yield f"event: content_block_start\ndata: {block_start.model_dump_json()}\n\n"
delta_event = ClaudeContentBlockDeltaEvent(
index=text_block_index,
delta=ClaudeTextDelta(text=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
# content_block_delta
delta_event = ClaudeContentBlockDeltaEvent(
index=0,
delta=ClaudeTextDelta(text=chunk.text),
)
yield f"event: content_block_delta\ndata: {delta_event.model_dump_json()}\n\n"
if chunk.finish_reason is not None:
stop_reason = finish_reason_to_claude_stop_reason(chunk.finish_reason)
@@ -402,22 +309,9 @@ async def generate_claude_stream(
if last_usage is not None:
output_tokens = last_usage.completion_tokens
# Close any open blocks
if thinking_block_started and text_block_index == -1:
block_stop = ClaudeContentBlockStopEvent(index=thinking_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
if text_block_started:
block_stop = ClaudeContentBlockStopEvent(index=text_block_index)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
if not thinking_block_started and not text_block_started:
empty_start = ClaudeContentBlockStartEvent(
index=0, content_block=ClaudeTextBlock(text="")
)
yield f"event: content_block_start\ndata: {empty_start.model_dump_json()}\n\n"
empty_stop = ClaudeContentBlockStopEvent(index=0)
yield f"event: content_block_stop\ndata: {empty_stop.model_dump_json()}\n\n"
# content_block_stop for text block
block_stop = ClaudeContentBlockStopEvent(index=0)
yield f"event: content_block_stop\ndata: {block_stop.model_dump_json()}\n\n"
# message_delta
message_delta = ClaudeMessageDeltaEvent(
-456
View File
@@ -1,456 +0,0 @@
from __future__ import annotations
import json
from collections.abc import AsyncGenerator
from typing import Any
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.common import CommandId
from exo.shared.types.ollama_api import (
OllamaChatRequest,
OllamaChatResponse,
OllamaDoneReason,
OllamaGenerateRequest,
OllamaGenerateResponse,
OllamaMessage,
OllamaToolCall,
OllamaToolFunction,
)
from exo.shared.types.text_generation import InputMessage, TextGenerationTaskParams
def _map_done_reason(
finish_reason: str | None,
) -> OllamaDoneReason | None:
if finish_reason is None:
return None
if finish_reason == "stop":
return "stop"
if finish_reason == "length":
return "length"
if finish_reason in ("tool_calls", "function_call"):
return "tool_call"
if finish_reason == "error":
return "error"
return "stop"
def _try_parse_json(value: str) -> dict[str, Any] | str:
try:
return json.loads(value) # type: ignore
except json.JSONDecodeError:
return value
def _build_tool_calls(chunk: ToolCallChunk) -> list[OllamaToolCall]:
tool_calls: list[OllamaToolCall] = []
for index, tool in enumerate(chunk.tool_calls):
# tool.arguments is always str; try to parse as JSON dict for Ollama format
arguments: dict[str, Any] | str = _try_parse_json(tool.arguments)
tool_calls.append(
OllamaToolCall(
id=tool.id,
type="function",
function=OllamaToolFunction(
name=tool.name, arguments=arguments, index=index
),
)
)
return tool_calls
def _get_usage(
chunk: TokenChunk | ToolCallChunk,
) -> tuple[int | None, int | None]:
"""Extract (prompt_eval_count, eval_count) from a chunk."""
if chunk.usage is not None:
return (chunk.usage.prompt_tokens, chunk.usage.completion_tokens)
if chunk.stats is not None:
return (chunk.stats.prompt_tokens, chunk.stats.generation_tokens)
return (None, None)
def ollama_request_to_text_generation(
request: OllamaChatRequest,
) -> TextGenerationTaskParams:
"""Convert Ollama chat request to exo's internal text generation format."""
instructions: str | None = None
input_messages: list[InputMessage] = []
chat_template_messages: list[dict[str, Any]] = []
tool_message_index = 0
for msg in request.messages:
content = msg.content or ""
if msg.role == "system":
if instructions is None:
instructions = content
else:
instructions = f"{instructions}\n{content}"
chat_template_messages.append({"role": "system", "content": content})
continue
if msg.role in ("user", "assistant") and (
msg.content is not None or msg.thinking is not None or msg.tool_calls
):
input_messages.append(InputMessage(role=msg.role, content=content))
dumped: dict[str, Any] = {"role": msg.role, "content": content}
if msg.thinking is not None:
dumped["thinking"] = msg.thinking
if msg.tool_calls is not None:
tool_calls_list: list[dict[str, Any]] = []
for tc in msg.tool_calls:
function: dict[str, Any] = {
"name": tc.function.name,
"arguments": (
json.dumps(tc.function.arguments)
if isinstance(tc.function.arguments, dict)
else tc.function.arguments
),
}
if tc.function.index is not None:
function["index"] = tc.function.index
tool_call: dict[str, Any] = {"function": function}
if tc.id is not None:
tool_call["id"] = tc.id
if tc.type is not None:
tool_call["type"] = tc.type
tool_calls_list.append(tool_call)
dumped["tool_calls"] = tool_calls_list
if msg.name is not None:
dumped["name"] = msg.name
if msg.role == "tool":
tool_message_index += 1
tool_call_id = msg.tool_name or msg.name or f"tool_{tool_message_index}"
dumped["tool_call_id"] = tool_call_id
if msg.tool_name is not None:
dumped["tool_name"] = msg.tool_name
chat_template_messages.append(dumped)
options = request.options
return TextGenerationTaskParams(
model=request.model,
input=input_messages
if input_messages
else [InputMessage(role="user", content="")],
instructions=instructions,
max_output_tokens=options.num_predict if options else None,
temperature=options.temperature if options else None,
top_p=options.top_p if options else None,
top_k=options.top_k if options else None,
stop=options.stop if options else None,
seed=options.seed if options else None,
stream=request.stream,
tools=request.tools,
enable_thinking=request.think,
chat_template_messages=chat_template_messages
if chat_template_messages
else None,
)
async def generate_ollama_chat_stream(
_command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
) -> AsyncGenerator[str, None]:
"""Generate streaming responses in Ollama format (newline-delimited JSON)."""
thinking_parts: list[str] = []
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
case ErrorChunk():
error_response = OllamaChatResponse(
model=str(chunk.model),
message=OllamaMessage(
role="assistant", content=chunk.error_message
),
done=True,
done_reason="error",
)
yield f"{error_response.model_dump_json(exclude_none=True)}\n"
return
case ToolCallChunk():
prompt_eval, eval_count = _get_usage(chunk)
response = OllamaChatResponse(
model=str(chunk.model),
message=OllamaMessage(
role="assistant",
content="",
tool_calls=_build_tool_calls(chunk),
thinking="".join(thinking_parts) if thinking_parts else None,
),
done=True,
done_reason="tool_call",
prompt_eval_count=prompt_eval,
eval_count=eval_count,
)
yield f"{response.model_dump_json(exclude_none=True)}\n"
return
case TokenChunk():
done = chunk.finish_reason is not None
if chunk.is_thinking:
thinking_parts.append(chunk.text)
response = OllamaChatResponse(
model=str(chunk.model),
message=OllamaMessage(
role="assistant", content="", thinking=chunk.text
),
done=False,
)
yield f"{response.model_dump_json(exclude_none=True)}\n"
elif done:
prompt_eval, eval_count = _get_usage(chunk)
response = OllamaChatResponse(
model=str(chunk.model),
message=OllamaMessage(
role="assistant",
content=chunk.text,
),
done=True,
done_reason=_map_done_reason(chunk.finish_reason),
prompt_eval_count=prompt_eval,
eval_count=eval_count,
)
yield f"{response.model_dump_json(exclude_none=True)}\n"
else:
response = OllamaChatResponse(
model=str(chunk.model),
message=OllamaMessage(role="assistant", content=chunk.text),
done=False,
)
yield f"{response.model_dump_json(exclude_none=True)}\n"
if done:
return
async def collect_ollama_chat_response(
_command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
) -> AsyncGenerator[str]:
"""Collect streaming chunks into a single non-streaming Ollama response.
Returns an AsyncGenerator[str] (single yield) for consistency with FastAPI
StreamingResponse cancellation handling.
"""
text_parts: list[str] = []
thinking_parts: list[str] = []
tool_calls: list[OllamaToolCall] = []
model: str | None = None
finish_reason: str | None = None
prompt_eval_count: int | None = None
eval_count: int | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
case ErrorChunk():
raise ValueError(chunk.error_message or "Internal server error")
case TokenChunk():
if model is None:
model = str(chunk.model)
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
prompt_eval_count, eval_count = _get_usage(chunk)
case ToolCallChunk():
if model is None:
model = str(chunk.model)
tool_calls.extend(_build_tool_calls(chunk))
finish_reason = chunk.finish_reason
prompt_eval_count, eval_count = _get_usage(chunk)
combined_text = "".join(text_parts)
combined_thinking = "".join(thinking_parts) if thinking_parts else None
assert model is not None
yield OllamaChatResponse(
model=model,
message=OllamaMessage(
role="assistant",
content=combined_text,
thinking=combined_thinking,
tool_calls=tool_calls if tool_calls else None,
),
done=True,
done_reason=_map_done_reason(finish_reason),
prompt_eval_count=prompt_eval_count,
eval_count=eval_count,
).model_dump_json(exclude_none=True)
return
# ── /api/generate ──
def ollama_generate_request_to_text_generation(
request: OllamaGenerateRequest,
) -> TextGenerationTaskParams:
"""Convert Ollama generate request to exo's internal text generation format."""
chat_template_messages: list[dict[str, Any]] = []
if request.system:
chat_template_messages.append({"role": "system", "content": request.system})
chat_template_messages.append({"role": "user", "content": request.prompt})
options = request.options
return TextGenerationTaskParams(
model=request.model,
input=[InputMessage(role="user", content=request.prompt)],
instructions=request.system,
max_output_tokens=options.num_predict if options else None,
temperature=options.temperature if options else None,
top_p=options.top_p if options else None,
top_k=options.top_k if options else None,
stop=options.stop if options else None,
seed=options.seed if options else None,
stream=request.stream,
enable_thinking=request.think,
chat_template_messages=chat_template_messages
if chat_template_messages
else None,
)
async def generate_ollama_generate_stream(
_command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
) -> AsyncGenerator[str, None]:
"""Generate streaming responses for /api/generate in Ollama NDJSON format."""
thinking_parts: list[str] = []
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
case ErrorChunk():
resp = OllamaGenerateResponse(
model=str(chunk.model),
response="",
done=True,
done_reason="error",
)
yield f"{resp.model_dump_json(exclude_none=True)}\n"
return
case ToolCallChunk():
# generate endpoint doesn't support tools; emit as done
prompt_eval, eval_count = _get_usage(chunk)
resp = OllamaGenerateResponse(
model=str(chunk.model),
response="",
done=True,
done_reason="stop",
prompt_eval_count=prompt_eval,
eval_count=eval_count,
)
yield f"{resp.model_dump_json(exclude_none=True)}\n"
return
case TokenChunk():
done = chunk.finish_reason is not None
if chunk.is_thinking:
thinking_parts.append(chunk.text)
resp = OllamaGenerateResponse(
model=str(chunk.model),
response="",
thinking=chunk.text,
done=False,
)
yield f"{resp.model_dump_json(exclude_none=True)}\n"
elif done:
prompt_eval, eval_count = _get_usage(chunk)
resp = OllamaGenerateResponse(
model=str(chunk.model),
response=chunk.text,
done=True,
done_reason=_map_done_reason(chunk.finish_reason),
prompt_eval_count=prompt_eval,
eval_count=eval_count,
)
yield f"{resp.model_dump_json(exclude_none=True)}\n"
else:
resp = OllamaGenerateResponse(
model=str(chunk.model),
response=chunk.text,
done=False,
)
yield f"{resp.model_dump_json(exclude_none=True)}\n"
if done:
return
async def collect_ollama_generate_response(
_command_id: CommandId,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
) -> AsyncGenerator[str]:
"""Collect chunks into a single non-streaming /api/generate response."""
text_parts: list[str] = []
thinking_parts: list[str] = []
model: str | None = None
finish_reason: str | None = None
prompt_eval_count: int | None = None
eval_count: int | None = None
async for chunk in chunk_stream:
match chunk:
case PrefillProgressChunk():
continue
case ErrorChunk():
raise ValueError(chunk.error_message or "Internal server error")
case TokenChunk():
if model is None:
model = str(chunk.model)
if chunk.is_thinking:
thinking_parts.append(chunk.text)
else:
text_parts.append(chunk.text)
if chunk.finish_reason is not None:
finish_reason = chunk.finish_reason
prompt_eval_count, eval_count = _get_usage(chunk)
case ToolCallChunk():
if model is None:
model = str(chunk.model)
finish_reason = chunk.finish_reason
prompt_eval_count, eval_count = _get_usage(chunk)
assert model is not None
yield OllamaGenerateResponse(
model=model,
response="".join(text_parts),
thinking="".join(thinking_parts) if thinking_parts else None,
done=True,
done_reason=_map_done_reason(finish_reason),
prompt_eval_count=prompt_eval_count,
eval_count=eval_count,
).model_dump_json(exclude_none=True)
return
+44 -242
View File
@@ -5,12 +5,7 @@ from itertools import count
from typing import Any
from exo.shared.types.api import Usage
from exo.shared.types.chunks import (
ErrorChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
from exo.shared.types.chunks import ErrorChunk, TokenChunk, ToolCallChunk
from exo.shared.types.common import CommandId
from exo.shared.types.openai_responses import (
FunctionCallInputItem,
@@ -29,15 +24,8 @@ from exo.shared.types.openai_responses import (
ResponseOutputItemAddedEvent,
ResponseOutputItemDoneEvent,
ResponseOutputText,
ResponseReasoningItem,
ResponseReasoningSummaryPartAddedEvent,
ResponseReasoningSummaryPartDoneEvent,
ResponseReasoningSummaryText,
ResponseReasoningSummaryTextDeltaEvent,
ResponseReasoningSummaryTextDoneEvent,
ResponsesRequest,
ResponsesResponse,
ResponsesStreamEvent,
ResponseTextDeltaEvent,
ResponseTextDoneEvent,
ResponseUsage,
@@ -45,11 +33,6 @@ from exo.shared.types.openai_responses import (
from exo.shared.types.text_generation import InputMessage, TextGenerationTaskParams
def _format_sse(event: ResponsesStreamEvent) -> str:
"""Format a streaming event as an SSE message."""
return f"event: {event.type}\ndata: {event.model_dump_json()}\n\n"
def _extract_content(content: str | list[ResponseContentPart]) -> str:
"""Extract plain text from a content field that may be a string or list of parts."""
if isinstance(content, str):
@@ -138,26 +121,19 @@ def responses_request_to_text_generation(
async def collect_responses_response(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str]:
# This is an AsyncGenerator[str] rather than returning a ChatCompletionReponse because
# FastAPI handles the cancellation better but wouldn't auto-serialize for some reason
"""Collect all token chunks and return a single ResponsesResponse."""
response_id = f"resp_{command_id}"
item_id = f"item_{command_id}"
reasoning_id = f"rs_{command_id}"
accumulated_text = ""
thinking_parts: list[str] = []
function_call_items: list[ResponseFunctionCallItem] = []
last_usage: Usage | None = None
error_message: str | None = None
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
error_message = chunk.error_message or "Internal server error"
break
@@ -176,10 +152,6 @@ async def collect_responses_response(
)
continue
if chunk.is_thinking:
thinking_parts.append(chunk.text)
continue
accumulated_text += chunk.text
if error_message is not None:
@@ -194,21 +166,13 @@ async def collect_responses_response(
total_tokens=last_usage.total_tokens,
)
output: list[ResponseItem] = []
if thinking_parts:
output.append(
ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text="".join(thinking_parts))],
)
)
output.append(
output: list[ResponseItem] = [
ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text=accumulated_text)],
status="completed",
)
)
]
output.extend(function_call_items)
yield ResponsesResponse(
@@ -225,14 +189,11 @@ async def collect_responses_response(
async def generate_responses_stream(
command_id: CommandId,
model: str,
chunk_stream: AsyncGenerator[
ErrorChunk | ToolCallChunk | TokenChunk | PrefillProgressChunk, None
],
chunk_stream: AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None],
) -> AsyncGenerator[str, None]:
"""Generate OpenAI Responses API streaming events from TokenChunks."""
response_id = f"resp_{command_id}"
item_id = f"item_{command_id}"
reasoning_id = f"rs_{command_id}"
seq = count(1)
# response.created
@@ -246,30 +207,42 @@ async def generate_responses_stream(
created_event = ResponseCreatedEvent(
sequence_number=next(seq), response=initial_response
)
yield _format_sse(created_event)
yield f"event: response.created\ndata: {created_event.model_dump_json()}\n\n"
# response.in_progress
in_progress_event = ResponseInProgressEvent(
sequence_number=next(seq), response=initial_response
)
yield _format_sse(in_progress_event)
yield f"event: response.in_progress\ndata: {in_progress_event.model_dump_json()}\n\n"
# response.output_item.added
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq), output_index=0, item=initial_item
)
yield f"event: response.output_item.added\ndata: {item_added.model_dump_json()}\n\n"
# response.content_part.added
initial_part = ResponseOutputText(text="")
part_added = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=0,
content_index=0,
part=initial_part,
)
yield f"event: response.content_part.added\ndata: {part_added.model_dump_json()}\n\n"
accumulated_text = ""
accumulated_thinking = ""
function_call_items: list[ResponseFunctionCallItem] = []
last_usage: Usage | None = None
next_output_index = 0
# Track dynamic block creation
reasoning_started = False
reasoning_output_index = -1
message_started = False
message_output_index = -1
next_output_index = 1 # message item is at 0
async for chunk in chunk_stream:
if isinstance(chunk, PrefillProgressChunk):
continue
if isinstance(chunk, ErrorChunk):
break
@@ -293,7 +266,7 @@ async def generate_responses_stream(
output_index=next_output_index,
item=fc_item,
)
yield _format_sse(fc_added)
yield f"event: response.output_item.added\ndata: {fc_added.model_dump_json()}\n\n"
# response.function_call_arguments.delta
args_delta = ResponseFunctionCallArgumentsDeltaEvent(
@@ -302,7 +275,7 @@ async def generate_responses_stream(
output_index=next_output_index,
delta=tool.arguments,
)
yield _format_sse(args_delta)
yield f"event: response.function_call_arguments.delta\ndata: {args_delta.model_dump_json()}\n\n"
# response.function_call_arguments.done
args_done = ResponseFunctionCallArgumentsDoneEvent(
@@ -312,7 +285,7 @@ async def generate_responses_stream(
name=tool.name,
arguments=tool.arguments,
)
yield _format_sse(args_done)
yield f"event: response.function_call_arguments.done\ndata: {args_done.model_dump_json()}\n\n"
# response.output_item.done
fc_done_item = ResponseFunctionCallItem(
@@ -327,205 +300,44 @@ async def generate_responses_stream(
output_index=next_output_index,
item=fc_done_item,
)
yield _format_sse(fc_item_done)
yield f"event: response.output_item.done\ndata: {fc_item_done.model_dump_json()}\n\n"
function_call_items.append(fc_done_item)
next_output_index += 1
continue
if chunk.is_thinking:
# Start reasoning block on first thinking token
if not reasoning_started:
reasoning_started = True
reasoning_output_index = next_output_index
next_output_index += 1
# response.output_item.added for reasoning
reasoning_item = ResponseReasoningItem(
id=reasoning_id,
summary=[],
status="in_progress",
)
rs_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=reasoning_item,
)
yield _format_sse(rs_added)
# response.reasoning_summary_part.added
part_added = ResponseReasoningSummaryPartAddedEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=""),
)
yield _format_sse(part_added)
accumulated_thinking += chunk.text
# response.reasoning_summary_text.delta
rs_delta = ResponseReasoningSummaryTextDeltaEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
delta=chunk.text,
)
yield _format_sse(rs_delta)
continue
# Close reasoning block when transitioning to text
if reasoning_started and not message_started:
# response.reasoning_summary_text.done
rs_text_done = ResponseReasoningSummaryTextDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
text=accumulated_thinking,
)
yield _format_sse(rs_text_done)
# response.reasoning_summary_part.done
rs_part_done = ResponseReasoningSummaryPartDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=accumulated_thinking),
)
yield _format_sse(rs_part_done)
# response.output_item.done for reasoning
rs_item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
),
)
yield _format_sse(rs_item_done)
# Start message block on first text token
if not message_started:
message_started = True
message_output_index = next_output_index
next_output_index += 1
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=initial_item,
)
yield _format_sse(item_added)
initial_part = ResponseOutputText(text="")
part_added = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
content_index=0,
part=initial_part,
)
yield _format_sse(part_added)
accumulated_text += chunk.text
# response.output_text.delta
delta_event = ResponseTextDeltaEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
delta=chunk.text,
)
yield _format_sse(delta_event)
# Close reasoning block if it was never followed by text
if reasoning_started and not message_started:
rs_text_done = ResponseReasoningSummaryTextDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
text=accumulated_thinking,
)
yield _format_sse(rs_text_done)
rs_part_done = ResponseReasoningSummaryPartDoneEvent(
sequence_number=next(seq),
item_id=reasoning_id,
output_index=reasoning_output_index,
summary_index=0,
part=ResponseReasoningSummaryText(text=accumulated_thinking),
)
yield _format_sse(rs_part_done)
rs_item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=reasoning_output_index,
item=ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
),
)
yield _format_sse(rs_item_done)
# If no message block was started, create one now (empty text)
if not message_started:
message_output_index = next_output_index
next_output_index += 1
initial_item = ResponseMessageItem(
id=item_id,
content=[ResponseOutputText(text="")],
status="in_progress",
)
item_added = ResponseOutputItemAddedEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=initial_item,
)
yield _format_sse(item_added)
initial_part = ResponseOutputText(text="")
part_added_evt = ResponseContentPartAddedEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
content_index=0,
part=initial_part,
)
yield _format_sse(part_added_evt)
yield f"event: response.output_text.delta\ndata: {delta_event.model_dump_json()}\n\n"
# response.output_text.done
text_done = ResponseTextDoneEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
text=accumulated_text,
)
yield _format_sse(text_done)
yield f"event: response.output_text.done\ndata: {text_done.model_dump_json()}\n\n"
# response.content_part.done
final_part = ResponseOutputText(text=accumulated_text)
part_done = ResponseContentPartDoneEvent(
sequence_number=next(seq),
item_id=item_id,
output_index=message_output_index,
output_index=0,
content_index=0,
part=final_part,
)
yield _format_sse(part_done)
yield f"event: response.content_part.done\ndata: {part_done.model_dump_json()}\n\n"
# response.output_item.done
final_message_item = ResponseMessageItem(
@@ -534,11 +346,9 @@ async def generate_responses_stream(
status="completed",
)
item_done = ResponseOutputItemDoneEvent(
sequence_number=next(seq),
output_index=message_output_index,
item=final_message_item,
sequence_number=next(seq), output_index=0, item=final_message_item
)
yield _format_sse(item_done)
yield f"event: response.output_item.done\ndata: {item_done.model_dump_json()}\n\n"
# Create usage from usage data if available
usage = None
@@ -550,15 +360,7 @@ async def generate_responses_stream(
)
# response.completed
output: list[ResponseItem] = []
if reasoning_started:
output.append(
ResponseReasoningItem(
id=reasoning_id,
summary=[ResponseReasoningSummaryText(text=accumulated_thinking)],
)
)
output.append(final_message_item)
output: list[ResponseItem] = [final_message_item]
output.extend(function_call_items)
final_response = ResponsesResponse(
id=response_id,
@@ -571,4 +373,4 @@ async def generate_responses_stream(
completed_event = ResponseCompletedEvent(
sequence_number=next(seq), response=final_response
)
yield _format_sse(completed_event)
yield f"event: response.completed\ndata: {completed_event.model_dump_json()}\n\n"
+29 -249
View File
@@ -32,14 +32,6 @@ from exo.master.adapters.claude import (
collect_claude_response,
generate_claude_stream,
)
from exo.master.adapters.ollama import (
collect_ollama_chat_response,
collect_ollama_generate_response,
generate_ollama_chat_stream,
generate_ollama_generate_stream,
ollama_generate_request_to_text_generation,
ollama_request_to_text_generation,
)
from exo.master.adapters.responses import (
collect_responses_response,
generate_responses_stream,
@@ -93,7 +85,6 @@ from exo.shared.types.api import (
ImageGenerationTaskParams,
ImageListItem,
ImageListResponse,
ImageSize,
ModelList,
ModelListModel,
PlaceInstanceParams,
@@ -109,13 +100,11 @@ from exo.shared.types.api import (
TraceRankStats,
TraceResponse,
TraceStatsResponse,
normalize_image_size,
)
from exo.shared.types.chunks import (
ErrorChunk,
ImageChunk,
InputImageChunk,
PrefillProgressChunk,
TokenChunk,
ToolCallChunk,
)
@@ -140,34 +129,20 @@ from exo.shared.types.commands import (
TaskFinished,
TextGeneration,
)
from exo.shared.types.common import CommandId, Id, NodeId, SessionId, SystemId
from exo.shared.types.common import CommandId, Id, NodeId, SessionId
from exo.shared.types.events import (
ChunkGenerated,
Event,
GlobalForwarderEvent,
ForwarderEvent,
IndexedEvent,
TracesMerged,
)
from exo.shared.types.memory import Memory
from exo.shared.types.ollama_api import (
OllamaChatRequest,
OllamaChatResponse,
OllamaGenerateRequest,
OllamaGenerateResponse,
OllamaModelDetails,
OllamaModelTag,
OllamaPsModel,
OllamaPsResponse,
OllamaShowRequest,
OllamaShowResponse,
OllamaTagsResponse,
)
from exo.shared.types.openai_responses import (
ResponsesRequest,
ResponsesResponse,
)
from exo.shared.types.state import State
from exo.shared.types.worker.downloads import DownloadCompleted
from exo.shared.types.worker.instances import Instance, InstanceId, InstanceMeta
from exo.shared.types.worker.shards import Sharding
from exo.utils.banner import print_startup_banner
@@ -197,7 +172,8 @@ class API:
session_id: SessionId,
*,
port: int,
global_event_receiver: Receiver[GlobalForwarderEvent],
# Ideally this would be a MasterForwarderEvent but type system says no :(
global_event_receiver: Receiver[ForwarderEvent],
command_sender: Sender[ForwarderCommand],
download_command_sender: Sender[ForwarderDownloadCommand],
# This lets us pause the API if an election is running
@@ -205,7 +181,6 @@ class API:
) -> None:
self.state = State()
self._event_log = DiskEventLog(_API_EVENT_LOG_DIR)
self._system_id = SystemId()
self.command_sender = command_sender
self.download_command_sender = download_command_sender
self.global_event_receiver = global_event_receiver
@@ -243,8 +218,7 @@ class API:
)
self._text_generation_queues: dict[
CommandId,
Sender[TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk],
CommandId, Sender[TokenChunk | ErrorChunk | ToolCallChunk]
] = {}
self._image_generation_queues: dict[
CommandId, Sender[ImageChunk | ErrorChunk]
@@ -257,7 +231,6 @@ class API:
self._event_log.close()
self._event_log = DiskEventLog(_API_EVENT_LOG_DIR)
self.state = State()
self._system_id = SystemId()
self.session_id = new_session_id
self.event_buffer = OrderedBuffer[Event]()
self._text_generation_queues = {}
@@ -322,21 +295,6 @@ class API:
self.app.get("/images/{image_id}")(self.get_image)
self.app.post("/v1/messages", response_model=None)(self.claude_messages)
self.app.post("/v1/responses", response_model=None)(self.openai_responses)
# Ollama API
self.app.head("/ollama/")(self.ollama_version)
self.app.head("/ollama/api/version")(self.ollama_version)
self.app.post("/ollama/api/chat", response_model=None)(self.ollama_chat)
self.app.post("/ollama/api/api/chat", response_model=None)(self.ollama_chat)
self.app.post("/ollama/api/v1/chat", response_model=None)(self.ollama_chat)
self.app.post("/ollama/api/generate", response_model=None)(self.ollama_generate)
self.app.get("/ollama/api/tags")(self.ollama_tags)
self.app.get("/ollama/api/api/tags")(self.ollama_tags)
self.app.get("/ollama/api/v1/tags")(self.ollama_tags)
self.app.post("/ollama/api/show")(self.ollama_show)
self.app.get("/ollama/api/ps")(self.ollama_ps)
self.app.get("/ollama/api/version")(self.ollama_version)
self.app.get("/state")(lambda: self.state)
self.app.get("/events")(self.stream_events)
self.app.post("/download/start")(self.start_download)
@@ -566,23 +524,19 @@ class API:
async def _token_chunk_stream(
self, command_id: CommandId
) -> AsyncGenerator[
TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk, None
]:
) -> AsyncGenerator[ErrorChunk | ToolCallChunk | TokenChunk, None]:
"""Yield chunks for a given command until completion.
This is the internal low-level stream used by all API adapters.
"""
try:
self._text_generation_queues[command_id], recv = channel[
TokenChunk | ErrorChunk | ToolCallChunk | PrefillProgressChunk
ErrorChunk | ToolCallChunk | TokenChunk
]()
with recv as token_chunks:
async for chunk in token_chunks:
yield chunk
if isinstance(chunk, PrefillProgressChunk):
continue
if chunk.finish_reason is not None:
break
@@ -590,7 +544,7 @@ class API:
command = TaskCancelled(cancelled_command_id=command_id)
with anyio.CancelScope(shield=True):
await self.command_sender.send(
ForwarderCommand(origin=self._system_id, command=command)
ForwarderCommand(origin=self.node_id, command=command)
)
raise
finally:
@@ -609,9 +563,6 @@ class API:
stats: GenerationStats | None = None
async for chunk in self._token_chunk_stream(command_id):
if isinstance(chunk, PrefillProgressChunk):
continue
if chunk.finish_reason == "error":
raise HTTPException(
status_code=500,
@@ -800,11 +751,9 @@ class API:
When stream=True and partial_images > 0, returns a StreamingResponse
with SSE-formatted events for partial and final images.
"""
payload.model = await self._validate_image_model(ModelId(payload.model))
payload = payload.model_copy(
update={
"model": await self._validate_image_model(ModelId(payload.model)),
"advanced_params": _ensure_seed(payload.advanced_params),
}
update={"advanced_params": _ensure_seed(payload.advanced_params)}
)
command = ImageGeneration(
@@ -938,7 +887,7 @@ class API:
command = TaskCancelled(cancelled_command_id=command_id)
with anyio.CancelScope(shield=True):
await self.command_sender.send(
ForwarderCommand(origin=self._system_id, command=command)
ForwarderCommand(origin=self.node_id, command=command)
)
raise
finally:
@@ -1024,7 +973,7 @@ class API:
command = TaskCancelled(cancelled_command_id=command_id)
with anyio.CancelScope(shield=True):
await self.command_sender.send(
ForwarderCommand(origin=self._system_id, command=command)
ForwarderCommand(origin=self.node_id, command=command)
)
raise
finally:
@@ -1060,13 +1009,12 @@ class API:
async def bench_image_generations(
self, request: Request, payload: BenchImageGenerationTaskParams
) -> BenchImageGenerationResponse:
payload.model = await self._validate_image_model(ModelId(payload.model))
payload.stream = False
payload.partial_images = 0
payload = payload.model_copy(
update={
"model": await self._validate_image_model(ModelId(payload.model)),
"stream": False,
"partial_images": 0,
"advanced_params": _ensure_seed(payload.advanced_params),
}
update={"advanced_params": _ensure_seed(payload.advanced_params)}
)
command = ImageGeneration(
@@ -1087,7 +1035,7 @@ class API:
prompt: str,
model: ModelId,
n: int,
size: ImageSize,
size: str,
response_format: Literal["url", "b64_json"],
input_fidelity: Literal["low", "high"],
stream: bool,
@@ -1157,7 +1105,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str | None = Form(None),
size: str = Form("1024x1024"),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
stream: str = Form("false"),
@@ -1183,7 +1131,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=normalize_image_size(size),
size=size,
response_format=response_format,
input_fidelity=input_fidelity,
stream=stream_bool,
@@ -1219,7 +1167,7 @@ class API:
prompt: str = Form(...),
model: str = Form(...),
n: int = Form(1),
size: str | None = Form(None),
size: str = Form("1024x1024"),
response_format: Literal["url", "b64_json"] = Form("b64_json"),
input_fidelity: Literal["low", "high"] = Form("low"),
quality: Literal["high", "medium", "low"] = Form("medium"),
@@ -1239,7 +1187,7 @@ class API:
prompt=prompt,
model=ModelId(model),
n=n,
size=normalize_image_size(size),
size=size,
response_format=response_format,
input_fidelity=input_fidelity,
stream=False,
@@ -1330,163 +1278,6 @@ class API:
media_type="application/json",
)
async def _ollama_root(self) -> JSONResponse:
"""Respond to HEAD / from Ollama CLI connectivity checks."""
return JSONResponse(content="Ollama is running")
async def ollama_chat(
self, request: Request
) -> OllamaChatResponse | StreamingResponse:
"""Ollama Chat API — accepts JSON regardless of Content-Type."""
body = await request.body()
payload = OllamaChatRequest.model_validate_json(body)
task_params = ollama_request_to_text_generation(payload)
resolved_model = await self._resolve_and_validate_text_model(
ModelId(task_params.model)
)
task_params = task_params.model_copy(update={"model": resolved_model})
command = TextGeneration(task_params=task_params)
await self._send(command)
if payload.stream:
return StreamingResponse(
generate_ollama_chat_stream(
command.command_id,
self._token_chunk_stream(command.command_id),
),
media_type="application/x-ndjson",
headers={
"Cache-Control": "no-cache",
"Connection": "close",
"X-Accel-Buffering": "no",
},
)
else:
return StreamingResponse(
collect_ollama_chat_response(
command.command_id,
self._token_chunk_stream(command.command_id),
),
media_type="application/json",
)
async def ollama_generate(
self, request: Request
) -> OllamaGenerateResponse | StreamingResponse:
"""Ollama Generate API — accepts JSON regardless of Content-Type."""
body = await request.body()
payload = OllamaGenerateRequest.model_validate_json(body)
task_params = ollama_generate_request_to_text_generation(payload)
resolved_model = await self._resolve_and_validate_text_model(
ModelId(task_params.model)
)
task_params = task_params.model_copy(update={"model": resolved_model})
command = TextGeneration(task_params=task_params)
await self._send(command)
if payload.stream:
return StreamingResponse(
generate_ollama_generate_stream(
command.command_id,
self._token_chunk_stream(command.command_id),
),
media_type="application/x-ndjson",
headers={
"Cache-Control": "no-cache",
"Connection": "close",
"X-Accel-Buffering": "no",
},
)
else:
return StreamingResponse(
collect_ollama_generate_response(
command.command_id,
self._token_chunk_stream(command.command_id),
),
media_type="application/json",
)
async def ollama_tags(self) -> OllamaTagsResponse:
"""Returns list of models in Ollama tags format. We return the downloaded ones only."""
def none_if_empty(value: str) -> str | None:
return value or None
downloaded_model_ids: set[str] = set()
for node_downloads in self.state.downloads.values():
for dl in node_downloads:
if isinstance(dl, DownloadCompleted):
downloaded_model_ids.add(dl.shard_metadata.model_card.model_id)
cards = [
c for c in await get_model_cards() if c.model_id in downloaded_model_ids
]
now = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
return OllamaTagsResponse(
models=[
OllamaModelTag(
name=str(card.model_id),
model=str(card.model_id),
modified_at=now,
size=card.storage_size.in_bytes,
digest="sha256:000000000000",
details=OllamaModelDetails(
family=none_if_empty(card.family),
quantization_level=none_if_empty(card.quantization),
),
)
for card in cards
]
)
async def ollama_show(self, request: Request) -> OllamaShowResponse:
"""Returns model information in Ollama show format."""
body = await request.body()
payload = OllamaShowRequest.model_validate_json(body)
model_name = payload.name or payload.model
if not model_name:
raise HTTPException(status_code=400, detail="name or model is required")
try:
card = await ModelCard.load(ModelId(model_name))
except Exception as exc:
raise HTTPException(
status_code=404, detail=f"Model not found: {model_name}"
) from exc
return OllamaShowResponse(
modelfile=f"FROM {card.model_id}",
template="{{ .Prompt }}",
details=OllamaModelDetails(
family=card.family or None,
quantization_level=card.quantization or None,
),
)
async def ollama_ps(self) -> OllamaPsResponse:
"""Returns list of running models (active instances)."""
models: list[OllamaPsModel] = []
seen: set[str] = set()
for instance in self.state.instances.values():
model_id = str(instance.shard_assignments.model_id)
if model_id in seen:
continue
seen.add(model_id)
models.append(
OllamaPsModel(
name=model_id,
model=model_id,
size=0,
)
)
return OllamaPsResponse(models=models)
async def ollama_version(self) -> dict[str, str]:
"""Returns version information for Ollama API compatibility."""
return {"version": "exo v1.0"}
def _calculate_total_available_memory(self) -> Memory:
"""Calculate total available memory across all nodes in bytes."""
total_available = Memory()
@@ -1496,18 +1287,8 @@ class API:
return total_available
async def get_models(self, status: str | None = Query(default=None)) -> ModelList:
"""Returns list of available models, optionally filtered by being downloaded."""
cards = await get_model_cards()
if status == "downloaded":
downloaded_model_ids: set[str] = set()
for node_downloads in self.state.downloads.values():
for dl in node_downloads:
if isinstance(dl, DownloadCompleted):
downloaded_model_ids.add(dl.shard_metadata.model_card.model_id)
cards = [c for c in cards if c.model_id in downloaded_model_ids]
async def get_models(self) -> ModelList:
"""Returns list of available models."""
return ModelList(
data=[
ModelListModel(
@@ -1516,7 +1297,7 @@ class API:
name=card.model_id.short(),
description="",
tags=[],
storage_size_megabytes=card.storage_size.in_mb,
storage_size_megabytes=int(card.storage_size.in_mb),
supports_tensor=card.supports_tensor,
tasks=[task.value for task in card.tasks],
is_custom=is_custom_card(card.model_id),
@@ -1525,7 +1306,7 @@ class API:
base_model=card.base_model,
capabilities=card.capabilities,
)
for card in cards
for card in await get_model_cards()
]
)
@@ -1622,8 +1403,6 @@ class API:
async def _apply_state(self):
with self.global_event_receiver as events:
async for f_event in events:
if f_event.session != self.session_id:
continue
if f_event.origin != self.session_id.master_node_id:
continue
self.event_buffer.ingest(f_event.origin_idx, f_event.event)
@@ -1650,6 +1429,7 @@ class API:
await queue.send(event.chunk)
except BrokenResourceError:
self._text_generation_queues.pop(event.command_id, None)
if isinstance(event, TracesMerged):
self._save_merged_trace(event)
@@ -1687,12 +1467,12 @@ class API:
while self.paused:
await self.paused_ev.wait()
await self.command_sender.send(
ForwarderCommand(origin=self._system_id, command=command)
ForwarderCommand(origin=self.node_id, command=command)
)
async def _send_download(self, command: DownloadCommand):
await self.download_command_sender.send(
ForwarderDownloadCommand(origin=self._system_id, command=command)
ForwarderDownloadCommand(origin=self.node_id, command=command)
)
async def start_download(
+11 -61
View File
@@ -29,16 +29,13 @@ from exo.shared.types.commands import (
TestCommand,
TextGeneration,
)
from exo.shared.types.common import CommandId, NodeId, SessionId, SystemId
from exo.shared.types.common import CommandId, NodeId, SessionId
from exo.shared.types.events import (
Event,
GlobalForwarderEvent,
ForwarderEvent,
IndexedEvent,
InputChunkReceived,
InstanceDeleted,
JacclSideChannelData,
JacclSideChannelGathered,
LocalForwarderEvent,
NodeGatheredInfo,
NodeTimedOut,
TaskCreated,
@@ -63,7 +60,6 @@ from exo.shared.types.tasks import (
TextGeneration as TextGenerationTask,
)
from exo.shared.types.worker.instances import InstanceId
from exo.shared.types.worker.runners import RunnerId
from exo.utils.channels import Receiver, Sender, channel
from exo.utils.event_buffer import MultiSourceBuffer
@@ -75,8 +71,8 @@ class Master:
session_id: SessionId,
*,
command_receiver: Receiver[ForwarderCommand],
local_event_receiver: Receiver[LocalForwarderEvent],
global_event_sender: Sender[GlobalForwarderEvent],
local_event_receiver: Receiver[ForwarderEvent],
global_event_sender: Sender[ForwarderEvent],
download_command_sender: Sender[ForwarderDownloadCommand],
):
self.state = State()
@@ -91,15 +87,13 @@ class Master:
send, recv = channel[Event]()
self.event_sender: Sender[Event] = send
self._loopback_event_receiver: Receiver[Event] = recv
self._loopback_event_sender: Sender[LocalForwarderEvent] = (
self._loopback_event_sender: Sender[ForwarderEvent] = (
local_event_receiver.clone_sender()
)
self._system_id = SystemId()
self._multi_buffer = MultiSourceBuffer[SystemId, Event]()
self._multi_buffer = MultiSourceBuffer[NodeId, Event]()
self._event_log = DiskEventLog(EXO_EVENT_LOG_DIR / "master")
self._pending_traces: dict[TaskId, dict[int, list[TraceEventData]]] = {}
self._expected_ranks: dict[TaskId, set[int]] = {}
self._jaccl_pending: dict[InstanceId, dict[int, dict[RunnerId, bytes]]] = {}
async def run(self):
logger.info("Starting Master")
@@ -294,7 +288,7 @@ class Master:
):
await self.download_command_sender.send(
ForwarderDownloadCommand(
origin=self._system_id, command=cmd
origin=self.node_id, command=cmd
)
)
generated_events.extend(transition_events)
@@ -402,7 +396,7 @@ class Master:
await self._handle_traces_collected(event)
continue
logger.debug(f"Master indexing event: {str(event)[:100]}")
logger.trace(f"Master indexing event: {str(event)[:100]}")
indexed = IndexedEvent(event=event, idx=len(self._event_log))
self.state = apply(self.state, indexed)
@@ -413,11 +407,6 @@ class Master:
self._event_log.append(event)
await self._send_event(indexed)
# After broadcasting JacclSideChannelData, accumulate and
# emit gathered result when all runners have contributed.
if isinstance(event, JacclSideChannelData):
await self._handle_jaccl_side_channel(event)
async def _loopback_processor(self) -> None:
# this would ideally not be necessary.
# this is WAY less hacky than how I was working around this before
@@ -425,8 +414,8 @@ class Master:
with self._loopback_event_receiver as events:
async for event in events:
await self._loopback_event_sender.send(
LocalForwarderEvent(
origin=self._system_id,
ForwarderEvent(
origin=NodeId(f"master_{self.node_id}"),
origin_idx=local_index,
session=self.session_id,
event=event,
@@ -438,7 +427,7 @@ class Master:
async def _send_event(self, event: IndexedEvent):
# Convenience method since this line is ugly
await self.global_event_sender.send(
GlobalForwarderEvent(
ForwarderEvent(
origin=self.node_id,
origin_idx=event.idx,
session=self.session_id,
@@ -471,42 +460,3 @@ class Master:
del self._pending_traces[task_id]
if task_id in self._expected_ranks:
del self._expected_ranks[task_id]
async def _handle_jaccl_side_channel(self, event: JacclSideChannelData) -> None:
"""Accumulate SideChannel contributions; when all runners for an instance
have submitted for the same sequence, emit JacclSideChannelGathered."""
iid = event.instance_id
seq = event.sequence
if iid not in self._jaccl_pending:
self._jaccl_pending[iid] = {}
if seq not in self._jaccl_pending[iid]:
self._jaccl_pending[iid][seq] = {}
self._jaccl_pending[iid][seq][event.runner_id] = event.data
instance = self.state.instances.get(iid)
if instance is None:
logger.warning(f"JacclSideChannelData for unknown instance {iid}")
return
expected_runners = set(instance.shard_assignments.runner_to_shard.keys())
submitted = set(self._jaccl_pending[iid][seq].keys())
logger.info(
f"JACCL side channel: instance={iid} seq={seq} "
f"submitted={len(submitted)}/{len(expected_runners)}"
)
if submitted >= expected_runners:
gathered = dict(self._jaccl_pending[iid][seq])
del self._jaccl_pending[iid][seq]
if not self._jaccl_pending[iid]:
del self._jaccl_pending[iid]
await self.event_sender.send(
JacclSideChannelGathered(
instance_id=iid,
sequence=seq,
gathered_data=gathered,
)
)
+2 -16
View File
@@ -141,29 +141,15 @@ def place_instance(
if len(selected_cycle) == 1:
command.instance_meta = InstanceMeta.MlxRing
# TODO: Single node instances
match command.instance_meta:
case InstanceMeta.MlxJaccl:
# TODO(evan): shard assignments should contain information about ranks, this is ugly
def get_device_rank(node_id: NodeId) -> int:
runner_id = shard_assignments.node_to_runner[node_id]
shard_metadata = shard_assignments.runner_to_shard.get(runner_id)
assert shard_metadata is not None
return shard_metadata.device_rank
zero_node_ids = [
node_id
for node_id in selected_cycle.node_ids
if get_device_rank(node_id) == 0
]
assert len(zero_node_ids) == 1
coordinator_node_id = zero_node_ids[0]
mlx_jaccl_devices = get_mlx_jaccl_devices_matrix(
[node_id for node_id in selected_cycle],
cycle_digraph,
)
mlx_jaccl_coordinators = get_mlx_jaccl_coordinators(
coordinator=coordinator_node_id,
coordinator=selected_cycle.node_ids[0],
coordinator_port=random_ephemeral_port(),
cycle_digraph=cycle_digraph,
node_network=node_network,
+16 -32
View File
@@ -102,21 +102,22 @@ def _allocate_and_validate_layers(
layer_allocations = allocate_layers_proportionally(
total_layers=model_card.n_layers,
memory_fractions=[
node_memory[node_id].ram_available / total_memory for node_id in node_ids
node_memory[node_id].ram_available.in_bytes / total_memory.in_bytes
for node_id in node_ids
],
)
total_storage = model_card.storage_size
total_storage_bytes = model_card.storage_size.in_bytes
total_layers = model_card.n_layers
for i, node_id in enumerate(node_ids):
node_layers = layer_allocations[i]
required_memory = (total_storage * node_layers) // total_layers
available_memory = node_memory[node_id].ram_available
required_memory = (total_storage_bytes * node_layers) // total_layers
available_memory = node_memory[node_id].ram_available.in_bytes
if required_memory > available_memory:
raise ValueError(
f"Node {i} ({node_id}) has insufficient memory: "
f"requires {required_memory.in_gb:.2f} GB for {node_layers} layers, "
f"but only has {available_memory.in_gb:.2f} GB available"
f"requires {required_memory / (1024**3):.2f} GB for {node_layers} layers, "
f"but only has {available_memory / (1024**3):.2f} GB available"
)
return layer_allocations
@@ -341,7 +342,6 @@ def _find_ip_prioritised(
other_node_id: NodeId,
cycle_digraph: Topology,
node_network: Mapping[NodeId, NodeNetworkInfo],
ring: bool,
) -> str | None:
"""Find an IP address between nodes with prioritization.
@@ -354,27 +354,13 @@ def _find_ip_prioritised(
ip_to_type = {
iface.ip_address: iface.interface_type for iface in other_network.interfaces
}
# Ring should prioritise fastest connection. As a best-effort, we prioritise TB.
# TODO: Profile and get actual connection speeds.
if ring:
priority = {
"thunderbolt": 0,
"maybe_ethernet": 1,
"ethernet": 2,
"wifi": 3,
"unknown": 4,
}
# RDMA prefers ethernet coordinator
else:
priority = {
"ethernet": 0,
"wifi": 1,
"unknown": 2,
"maybe_ethernet": 3,
"thunderbolt": 4,
}
priority = {
"ethernet": 0,
"wifi": 1,
"unknown": 2,
"maybe_ethernet": 3,
"thunderbolt": 4,
}
return min(ips, key=lambda ip: priority.get(ip_to_type.get(ip, "unknown"), 2))
@@ -414,7 +400,7 @@ def get_mlx_ring_hosts_by_node(
continue
connection_ip = _find_ip_prioritised(
node_id, other_node_id, cycle_digraph, node_network, ring=True
node_id, other_node_id, cycle_digraph, node_network
)
if connection_ip is None:
raise ValueError(
@@ -445,9 +431,7 @@ def get_mlx_jaccl_coordinators(
if n == coordinator:
return "0.0.0.0"
ip = _find_ip_prioritised(
n, coordinator, cycle_digraph, node_network, ring=False
)
ip = _find_ip_prioritised(n, coordinator, cycle_digraph, node_network)
if ip is not None:
return ip
+5 -4
View File
@@ -261,7 +261,7 @@ class TestGenerateClaudeStreamToolUse:
parsed = _parse_sse_events(events)
# Two tool block starts (at indices 0 and 1 — no text block when only tools)
# Two tool block starts (at indices 1 and 2)
tool_starts = [
e
for e in parsed
@@ -270,11 +270,12 @@ class TestGenerateClaudeStreamToolUse:
== "tool_use"
]
assert len(tool_starts) == 2
assert tool_starts[0]["index"] == 0
assert tool_starts[1]["index"] == 1
assert tool_starts[0]["index"] == 1
assert tool_starts[1]["index"] == 2
# Two tool block stops (at indices 0 and 1)
# Two tool block stops (at indices 1 and 2), plus text block stop at 0
block_stops = [e for e in parsed if e.get("type") == "content_block_stop"]
stop_indices = [e["index"] for e in block_stops]
assert 0 in stop_indices
assert 1 in stop_indices
assert 2 in stop_indices
+10 -10
View File
@@ -15,12 +15,11 @@ from exo.shared.types.commands import (
PlaceInstance,
TextGeneration,
)
from exo.shared.types.common import ModelId, NodeId, SessionId, SystemId
from exo.shared.types.common import ModelId, NodeId, SessionId
from exo.shared.types.events import (
GlobalForwarderEvent,
ForwarderEvent,
IndexedEvent,
InstanceCreated,
LocalForwarderEvent,
NodeGatheredInfo,
TaskCreated,
)
@@ -43,12 +42,12 @@ from exo.utils.channels import channel
@pytest.mark.asyncio
async def test_master():
keypair = get_node_id_keypair()
node_id = NodeId(keypair.to_node_id())
node_id = NodeId(keypair.to_string())
session_id = SessionId(master_node_id=node_id, election_clock=0)
ge_sender, global_event_receiver = channel[GlobalForwarderEvent]()
ge_sender, global_event_receiver = channel[ForwarderEvent]()
command_sender, co_receiver = channel[ForwarderCommand]()
local_event_sender, le_receiver = channel[LocalForwarderEvent]()
local_event_sender, le_receiver = channel[ForwarderEvent]()
fcds, _fcdr = channel[ForwarderDownloadCommand]()
all_events: list[IndexedEvent] = []
@@ -76,12 +75,13 @@ async def test_master():
async with anyio.create_task_group() as tg:
tg.start_soon(master.run)
sender_node_id = NodeId(f"{keypair.to_string()}_sender")
# inject a NodeGatheredInfo event
logger.info("inject a NodeGatheredInfo event")
await local_event_sender.send(
LocalForwarderEvent(
ForwarderEvent(
origin_idx=0,
origin=SystemId("Worker"),
origin=sender_node_id,
session=session_id,
event=(
NodeGatheredInfo(
@@ -108,7 +108,7 @@ async def test_master():
logger.info("inject a CreateInstance Command")
await command_sender.send(
ForwarderCommand(
origin=SystemId("API"),
origin=node_id,
command=(
PlaceInstance(
command_id=CommandId(),
@@ -133,7 +133,7 @@ async def test_master():
logger.info("inject a TextGeneration Command")
await command_sender.send(
ForwarderCommand(
origin=SystemId("API"),
origin=node_id,
command=(
TextGeneration(
command_id=CommandId(),
+3 -3
View File
@@ -80,8 +80,8 @@ def test_get_instance_placements_create_instance(
):
# arrange
model_card.n_layers = total_layers
model_card.storage_size = Memory.from_bytes(
sum(available_memory)
model_card.storage_size.in_bytes = sum(
available_memory
) # make it exactly fit across all nodes
topology = Topology()
@@ -349,7 +349,7 @@ def test_tensor_rdma_backend_connectivity_matrix(
# arrange
topology = Topology()
model_card.n_layers = 12
model_card.storage_size = Memory.from_bytes(1500)
model_card.storage_size.in_bytes = 1500
node_a = NodeId()
node_b = NodeId()
+1 -29
View File
@@ -1,37 +1,9 @@
from enum import Enum
from exo_pyo3_bindings import ConnectionUpdate, ConnectionUpdateType
from exo.shared.types.common import NodeId
from exo.utils.pydantic_ext import CamelCaseModel
"""Serialisable types for Connection Updates/Messages"""
class ConnectionMessageType(Enum):
Connected = 0
Disconnected = 1
@staticmethod
def from_update_type(update_type: ConnectionUpdateType):
match update_type:
case ConnectionUpdateType.Connected:
return ConnectionMessageType.Connected
case ConnectionUpdateType.Disconnected:
return ConnectionMessageType.Disconnected
class ConnectionMessage(CamelCaseModel):
node_id: NodeId
connection_type: ConnectionMessageType
remote_ipv4: str
remote_tcp_port: int
@classmethod
def from_update(cls, update: ConnectionUpdate) -> "ConnectionMessage":
return cls(
node_id=NodeId(update.peer_id),
connection_type=ConnectionMessageType.from_update_type(update.update_type),
remote_ipv4=update.remote_ipv4,
remote_tcp_port=update.remote_tcp_port,
)
expired: bool
+60 -42
View File
@@ -1,5 +1,5 @@
from copy import copy
from itertools import count
from dataclasses import dataclass, field
from math import inf
from os import PathLike
from pathlib import Path
@@ -14,15 +14,14 @@ from anyio import (
)
from anyio.abc import TaskGroup
from exo_pyo3_bindings import (
AllQueuesFullError,
Keypair,
NetworkingHandle,
NoPeersSubscribedToTopicError,
PyPeer,
)
from filelock import FileLock
from loguru import logger
from exo.shared.constants import EXO_NODE_ID_KEYPAIR
from exo.shared.types.common import NodeId
from exo.utils.channels import Receiver, Sender, channel
from exo.utils.pydantic_ext import CamelCaseModel
@@ -99,28 +98,32 @@ class TopicRouter[T: CamelCaseModel]:
)
@dataclass
class Router:
@classmethod
def create(cls, identity: Keypair) -> "Router":
return cls(handle=NetworkingHandle(identity))
_peer: PyPeer
topic_routers: dict[str, TopicRouter[CamelCaseModel]] = field(
init=False, default_factory=dict
)
networking_receiver: Receiver[tuple[str, bytes]] = field(init=False)
_tmp_networking_sender: Sender[tuple[str, bytes]] | None = field(init=False)
_tg: TaskGroup | None = None
def __init__(self, handle: NetworkingHandle):
self.topic_routers: dict[str, TopicRouter[CamelCaseModel]] = {}
send, recv = channel[tuple[str, bytes]]()
self.networking_receiver: Receiver[tuple[str, bytes]] = recv
self._net: NetworkingHandle = handle
self._tmp_networking_sender: Sender[tuple[str, bytes]] | None = send
self._id_count = count()
self._tg: TaskGroup | None = None
def __post_init__(self):
self._tmp_networking_sender, self.networking_receiver = channel()
@classmethod
def create(cls, identity: Keypair, namespace: str) -> "Router":
return cls(_peer=PyPeer.new(identity, namespace))
async def register_topic[T: CamelCaseModel](self, topic: TypedTopic[T]):
assert self._tg is None, "Attempted to register topic after setup time"
send = self._tmp_networking_sender
if send:
self._tmp_networking_sender = None
else:
send = self.networking_receiver.clone_sender()
router = TopicRouter[T](topic, send)
if self._tg is not None:
self._tg.start_soon(router.run)
self.topic_routers[topic.topic] = cast(TopicRouter[CamelCaseModel], router)
await self._networking_subscribe(str(topic.topic))
@@ -148,14 +151,18 @@ class Router:
async def run(self):
logger.debug("Starting Router")
try:
async def _peer_run():
await self._peer.run()
async with create_task_group() as tg:
self._tg = tg
for topic in self.topic_routers:
router = self.topic_routers[topic]
tg.start_soon(router.run)
tg.start_soon(self._networking_recv)
tg.start_soon(self._networking_recv_connection_messages)
tg.start_soon(self._networking_publish)
tg.start_soon(_peer_run)
# Router only shuts down if you cancel it.
await sleep_forever()
finally:
@@ -170,47 +177,58 @@ class Router:
self._tg.cancel_scope.cancel()
async def _networking_subscribe(self, topic: str):
await self._net.gossipsub_subscribe(topic)
await self._peer.subscribe(topic)
logger.info(f"Subscribed to {topic}")
async def _networking_unsubscribe(self, topic: str):
await self._net.gossipsub_unsubscribe(topic)
await self._peer.unsubscribe(topic)
logger.info(f"Unsubscribed from {topic}")
async def _networking_recv(self):
while True:
topic, data = await self._net.gossipsub_recv()
logger.trace(f"Received message on {topic} with payload {data}")
try:
swarm_event = await self._peer.recv()
except ValueError:
logger.error("Message too large for gossipsub, dropped")
continue
except ConnectionError:
logger.error("All peer queues full, network overloaded")
continue
except RuntimeError:
break
cm = None
if (peer_id := swarm_event.downcast_discovered()) is not None:
cm = ConnectionMessage(node_id=NodeId(peer_id), expired=False)
if (peer_id := swarm_event.downcast_expired()) is not None:
cm = ConnectionMessage(node_id=NodeId(peer_id), expired=True)
if cm is not None:
if CONNECTION_MESSAGES.topic in self.topic_routers:
router = self.topic_routers[CONNECTION_MESSAGES.topic]
assert router.topic.model_type == ConnectionMessage
router = cast(TopicRouter[ConnectionMessage], router)
await router.publish(cm)
continue
assert (msg := swarm_event.downcast_message()) is not None
_origin, topic, payload = msg
logger.debug(f"Received message on {topic} with payload {payload}")
if topic not in self.topic_routers:
logger.warning(f"Received message on unknown or inactive topic {topic}")
continue
router = self.topic_routers[topic]
await router.publish_bytes(data)
async def _networking_recv_connection_messages(self):
while True:
update = await self._net.connection_update_recv()
message = ConnectionMessage.from_update(update)
logger.trace(
f"Received message on connection_messages with payload {message}"
)
if CONNECTION_MESSAGES.topic in self.topic_routers:
router = self.topic_routers[CONNECTION_MESSAGES.topic]
assert router.topic.model_type == ConnectionMessage
router = cast(TopicRouter[ConnectionMessage], router)
await router.publish(message)
await router.publish_bytes(payload)
async def _networking_publish(self):
with self.networking_receiver as networked_items:
async for topic, data in networked_items:
try:
logger.trace(f"Sending message on {topic} with payload {data}")
await self._net.gossipsub_publish(topic, data)
except NoPeersSubscribedToTopicError:
pass
except AllQueuesFullError:
logger.warning(f"All peer queues full, dropping message on {topic}")
await self._peer.send(topic, data)
except RuntimeError:
break
def get_node_id_keypair(
@@ -235,12 +253,12 @@ def get_node_id_keypair(
protobuf_encoded = f.read()
try: # if decoded successfully, save & return
return Keypair.from_bytes(protobuf_encoded)
return Keypair.from_protobuf_encoding(protobuf_encoded)
except ValueError as e: # on runtime error, assume corrupt file
logger.warning(f"Encountered error when trying to get keypair: {e}")
# if no valid credentials, create new ones and persist
with open(path, "w+b") as f:
keypair = Keypair.generate_ed25519()
f.write(keypair.to_bytes())
f.write(keypair.to_protobuf_encoding())
return keypair
+3 -4
View File
@@ -5,8 +5,7 @@ from exo.routing.connection_message import ConnectionMessage
from exo.shared.election import ElectionMessage
from exo.shared.types.commands import ForwarderCommand, ForwarderDownloadCommand
from exo.shared.types.events import (
GlobalForwarderEvent,
LocalForwarderEvent,
ForwarderEvent,
)
from exo.utils.pydantic_ext import CamelCaseModel
@@ -37,8 +36,8 @@ class TypedTopic[T: CamelCaseModel]:
return self.model_type.model_validate_json(b.decode("utf-8"))
GLOBAL_EVENTS = TypedTopic("global_events", PublishPolicy.Always, GlobalForwarderEvent)
LOCAL_EVENTS = TypedTopic("local_events", PublishPolicy.Always, LocalForwarderEvent)
GLOBAL_EVENTS = TypedTopic("global_events", PublishPolicy.Always, ForwarderEvent)
LOCAL_EVENTS = TypedTopic("local_events", PublishPolicy.Always, ForwarderEvent)
COMMANDS = TypedTopic("commands", PublishPolicy.Always, ForwarderCommand)
ELECTION_MESSAGES = TypedTopic(
"election_messages", PublishPolicy.Always, ElectionMessage

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