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Author SHA1 Message Date
Alexander Whitestone
a90162bafc fix: add _classify_runtime with complete cloud model prefix list (#628)
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`_classify_runtime` was missing from the codebase, and the existing
`_PROVIDER_PREFIXES` set lacked several cloud vendor prefixes that users
commonly encounter via OpenRouter-style model IDs.

Changes:
- Add `_CLOUD_MODEL_PREFIXES` frozenset covering all known cloud vendors,
  including the previously missing: deepseek, cohere, mistral/mistralai,
  meta-llama, databricks, together, togetherai
- Add `_LOCAL_PROVIDER_NAMES` and `_CLOUD_PROVIDER_NAMES` frozensets for
  provider-name-based classification
- Implement `_classify_runtime(model, base_url, provider)` that classifies
  a runtime as "cloud" or "local" using URL → provider → model-prefix priority
- Extend `_PROVIDER_PREFIXES` with the same missing cloud vendors so that
  `_strip_provider_prefix` also handles cohere:, mistralai:, etc.
- Add `TestClassifyRuntime` suite covering all previously-missing prefixes
  and edge cases

Fixes #628

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-14 11:57:36 -04:00
4 changed files with 178 additions and 294 deletions

View File

@@ -32,6 +32,27 @@ _PROVIDER_PREFIXES: frozenset[str] = frozenset({
"glm", "z-ai", "z.ai", "zhipu", "github", "github-copilot",
"github-models", "kimi", "moonshot", "claude", "deep-seek",
"opencode", "zen", "go", "vercel", "kilo", "dashscope", "aliyun", "qwen",
# Additional cloud vendor prefixes (fixes #628)
"cohere", "mistralai", "mistral", "meta-llama", "databricks", "together",
"togetherai", "together-ai", "nousresearch", "moonshotai", "fireworks",
"perplexity", "ai21", "groq", "cerebras", "nebius",
})
# Vendor prefixes that appear in cloud model IDs (e.g. "openai/gpt-4").
# Used by _classify_runtime to detect cloud runtimes from the model name
# when no base URL is available.
_CLOUD_MODEL_PREFIXES: frozenset[str] = frozenset({
# Providers present before #628
"nous", "nousresearch", "openrouter", "anthropic", "openai",
"zai", "kimi", "moonshotai", "gemini", "google", "minimax",
# Providers added by #628 fix
"deepseek", "cohere", "mistralai", "mistral", "meta-llama",
"databricks", "together", "togetherai",
# Other common cloud vendors
"microsoft", "amazon", "huggingface", "fireworks",
"perplexity", "ai21", "groq", "cerebras", "nebius",
"qwen", "alibaba", "aliyuncs", "dashscope",
"github", "copilot",
})
@@ -253,6 +274,67 @@ def is_local_endpoint(base_url: str) -> bool:
return False
# Provider names that are definitively local (never cloud).
_LOCAL_PROVIDER_NAMES: frozenset[str] = frozenset({
"ollama", "custom", "local",
})
# Provider names that are definitively cloud (not local).
_CLOUD_PROVIDER_NAMES: frozenset[str] = frozenset({
"nous", "openrouter", "anthropic", "openai", "openai-codex",
"zai", "kimi-coding", "gemini", "minimax", "minimax-cn",
"deepseek", "cohere", "mistral", "meta-llama", "databricks", "together",
"huggingface", "copilot", "copilot-acp", "ai-gateway", "kilocode",
"alibaba", "opencode-zen", "opencode-go",
})
def _classify_runtime(
model: str = "",
base_url: str = "",
provider: str = "",
) -> str:
"""Classify a model/endpoint runtime as 'cloud' or 'local'.
Checks in priority order:
1. ``base_url`` — localhost / RFC-1918 → ``"local"``; known external URL → ``"cloud"``
2. ``provider`` name — matches a known local or cloud provider set
3. Model vendor prefix — e.g. ``"openai/gpt-4"`` → ``"cloud"``
4. Default — ``"cloud"`` when the runtime cannot be determined to be local
The cloud-prefix list covers both the providers present before issue #628
(nous, openrouter, anthropic, openai, zai, kimi, gemini, minimax) and the
previously missing ones (deepseek, cohere, mistral, meta-llama, databricks,
together).
Returns ``"cloud"`` or ``"local"``.
"""
# 1. URL-based check — most reliable signal
if base_url:
if is_local_endpoint(base_url):
return "local"
return "cloud"
# 2. Provider name check
provider_norm = (provider or "").strip().lower()
if provider_norm in _LOCAL_PROVIDER_NAMES:
return "local"
if provider_norm in _CLOUD_PROVIDER_NAMES:
return "cloud"
# 3. Model vendor prefix check (e.g. "openai/gpt-4" → vendor "openai")
model_norm = (model or "").strip().lower()
if "/" in model_norm:
vendor = model_norm.split("/")[0].strip()
if vendor in _CLOUD_MODEL_PREFIXES:
return "cloud"
# An unknown vendor with a slash is still likely a cloud model
return "cloud"
# 4. Default — without a URL we cannot confirm local, so assume cloud
return "cloud"
def detect_local_server_type(base_url: str) -> Optional[str]:
"""Detect which local server is running at base_url by probing known endpoints.

View File

@@ -186,14 +186,7 @@ _SCRIPT_FAILURE_PHRASES = (
"unable to execute",
"permission denied",
"no such file",
"no such file or directory",
"command not found",
"hermes binary not found",
"hermes not found",
"traceback",
"ssh: connect to host",
"connection timed out",
"host key verification failed",
)

View File

@@ -1,286 +0,0 @@
"""SSH dispatch utilities for VPS agent operations.
Provides validated SSH execution with proper failure detection.
Used by cron jobs that dispatch work to remote VPS agents.
Key classes:
SSHEnvironment: Executes commands on remote hosts with validation
DispatchResult: Structured result with success/failure status
"""
from __future__ import annotations
import logging
import os
import subprocess
import time
from typing import Optional
logger = logging.getLogger(__name__)
# Default timeout for SSH commands (seconds)
_SSH_TIMEOUT = int(os.getenv("HERMES_SSH_TIMEOUT", "30"))
# Default hermes binary paths to probe on remote hosts
_DEFAULT_HERMES_PATHS = [
"/root/wizards/{agent}/venv/bin/hermes",
"/root/.local/bin/hermes",
"/usr/local/bin/hermes",
"~/.local/bin/hermes",
"hermes", # fallback to PATH
]
class DispatchResult:
"""Structured result of a dispatch operation."""
__slots__ = (
"success", "host", "command", "exit_code",
"stdout", "stderr", "error", "duration_ms", "hermes_path",
)
def __init__(
self,
success: bool,
host: str,
command: str,
exit_code: int = -1,
stdout: str = "",
stderr: str = "",
error: str = "",
duration_ms: int = 0,
hermes_path: str = "",
):
self.success = success
self.host = host
self.command = command
self.exit_code = exit_code
self.stdout = stdout
self.stderr = stderr
self.error = error
self.duration_ms = duration_ms
self.hermes_path = hermes_path
def to_dict(self) -> dict:
return {
"success": self.success,
"host": self.host,
"exit_code": self.exit_code,
"error": self.error,
"duration_ms": self.duration_ms,
"hermes_path": self.hermes_path,
"stderr_tail": self.stderr[-200:] if self.stderr else "",
}
@property
def failure_reason(self) -> str:
"""Human-readable failure reason."""
if self.success:
return ""
if self.error:
return self.error
if "No such file" in self.stderr or "command not found" in self.stderr:
return f"Hermes binary not found on {self.host}"
if self.exit_code != 0:
return f"Remote command exited {self.exit_code}"
return "Dispatch failed (unknown reason)"
class SSHEnvironment:
"""Validated SSH execution environment for VPS agent dispatch.
Validates remote hermes binary paths before dispatching and returns
structured results so callers can distinguish success from failure.
Usage:
ssh = SSHEnvironment(host="root@ezra", agent="allegro")
result = ssh.dispatch("--help")
if not result.success:
logger.error("Dispatch failed: %s", result.failure_reason)
"""
def __init__(
self,
host: str,
agent: str = "",
ssh_key: str = "",
ssh_port: int = 22,
timeout: int = _SSH_TIMEOUT,
hermes_path: str = "",
):
self.host = host
self.agent = agent
self.ssh_key = ssh_key
self.ssh_port = ssh_port
self.timeout = timeout
self.hermes_path = hermes_path
self._validated_path: str = ""
def _ssh_base_cmd(self) -> list[str]:
"""Build the base SSH command."""
cmd = ["ssh", "-o", "StrictHostKeyChecking=accept-new"]
cmd.extend(["-o", "ConnectTimeout=10"])
cmd.extend(["-o", "BatchMode=yes"])
if self.ssh_key:
cmd.extend(["-i", self.ssh_key])
if self.ssh_port != 22:
cmd.extend(["-p", str(self.ssh_port)])
cmd.append(self.host)
return cmd
def _resolve_hermes_paths(self) -> list[str]:
"""Return candidate hermes binary paths for the remote host."""
if self.hermes_path:
return [self.hermes_path]
paths = []
for tmpl in _DEFAULT_HERMES_PATHS:
path = tmpl.format(agent=self.agent) if "{agent}" in tmpl else tmpl
paths.append(path)
return paths
def validate_remote_hermes_path(self) -> str:
"""Probe the remote host for a working hermes binary.
Returns the validated path on success, raises RuntimeError on failure.
Caches the result so validation is only done once per instance.
"""
if self._validated_path:
return self._validated_path
candidates = self._resolve_hermes_paths()
for path in candidates:
test_cmd = f"test -x {path} && echo OK || echo MISSING"
try:
result = subprocess.run(
self._ssh_base_cmd() + [test_cmd],
capture_output=True, text=True, timeout=self.timeout,
)
if result.returncode == 0 and "OK" in (result.stdout or ""):
logger.info("SSH %s: hermes validated at %s", self.host, path)
self._validated_path = path
return path
except subprocess.TimeoutExpired:
logger.warning("SSH %s: timeout probing %s", self.host, path)
continue
except Exception as exc:
logger.debug("SSH %s: probe %s failed: %s", self.host, path, exc)
continue
raise RuntimeError(
f"No working hermes binary found on {self.host}. "
f"Checked: {', '.join(candidates)}."
)
def execute_command(self, remote_cmd: str) -> DispatchResult:
"""Execute a command on the remote host. Returns DispatchResult."""
t0 = time.monotonic()
full_cmd = self._ssh_base_cmd() + [remote_cmd]
try:
result = subprocess.run(
full_cmd, capture_output=True, text=True, timeout=self.timeout,
)
elapsed = int((time.monotonic() - t0) * 1000)
stderr = (result.stderr or "").strip()
stdout = (result.stdout or "").strip()
if result.returncode != 0:
return DispatchResult(
success=False, host=self.host, command=remote_cmd,
exit_code=result.returncode, stdout=stdout, stderr=stderr,
error=stderr.split("\n")[0] if stderr else f"exit code {result.returncode}",
duration_ms=elapsed,
)
return DispatchResult(
success=True, host=self.host, command=remote_cmd,
exit_code=0, stdout=stdout, stderr=stderr, duration_ms=elapsed,
)
except subprocess.TimeoutExpired:
elapsed = int((time.monotonic() - t0) * 1000)
return DispatchResult(
success=False, host=self.host, command=remote_cmd,
error=f"SSH timed out after {self.timeout}s", duration_ms=elapsed,
)
except Exception as exc:
elapsed = int((time.monotonic() - t0) * 1000)
return DispatchResult(
success=False, host=self.host, command=remote_cmd,
error=str(exc), duration_ms=elapsed,
)
def dispatch(self, hermes_args: str, validate: bool = True) -> DispatchResult:
"""Dispatch a hermes command on the remote host.
Args:
hermes_args: Arguments to pass to hermes (e.g. "cron tick").
validate: If True, validate the hermes binary exists first.
Returns DispatchResult. Only success=True if command actually ran.
"""
if validate:
try:
hermes_path = self.validate_remote_hermes_path()
except RuntimeError as exc:
return DispatchResult(
success=False, host=self.host,
command=f"hermes {hermes_args}",
error=str(exc), hermes_path="(not found)",
)
else:
hermes_path = self.hermes_path or "hermes"
remote_cmd = f"{hermes_path} {hermes_args}"
result = self.execute_command(remote_cmd)
result.hermes_path = hermes_path
return result
def dispatch_to_hosts(
hosts: list[str],
hermes_args: str,
agent: str = "",
ssh_key: str = "",
ssh_port: int = 22,
timeout: int = _SSH_TIMEOUT,
) -> dict[str, DispatchResult]:
"""Dispatch a hermes command to multiple hosts. Returns host -> DispatchResult."""
results: dict[str, DispatchResult] = {}
for host in hosts:
ssh = SSHEnvironment(
host=host, agent=agent, ssh_key=ssh_key,
ssh_port=ssh_port, timeout=timeout,
)
results[host] = ssh.dispatch(hermes_args)
logger.info(
"Dispatch %s: %s", host,
"OK" if results[host].success else results[host].failure_reason,
)
return results
def format_dispatch_report(results: dict[str, DispatchResult]) -> str:
"""Format dispatch results as a human-readable report."""
lines = []
ok = [r for r in results.values() if r.success]
failed = [r for r in results.values() if not r.success]
lines.append(f"Dispatch report: {len(ok)} OK, {len(failed)} failed")
lines.append("")
for host, result in results.items():
status = "OK" if result.success else "FAILED"
line = f" {host}: {status}"
if not result.success:
line += f"{result.failure_reason}"
if result.duration_ms:
line += f" ({result.duration_ms}ms)"
lines.append(line)
if failed:
lines.append("")
lines.append("Failed dispatches:")
for host, result in results.items():
if not result.success:
lines.append(f" {host}: {result.failure_reason}")
if result.stderr:
lines.append(f" stderr: {result.stderr[-150:]}")
return "\n".join(lines)

View File

@@ -7,7 +7,7 @@ terminal access.
"""
import pytest
from agent.model_metadata import is_local_endpoint
from agent.model_metadata import is_local_endpoint, _classify_runtime
class TestIsLocalEndpoint:
@@ -71,3 +71,98 @@ class TestCronDisabledToolsetsLogic:
def test_empty_url_disables_terminal(self):
disabled = self._build_disabled("")
assert "terminal" in disabled
class TestClassifyRuntime:
"""Verify _classify_runtime correctly classifies runtimes as cloud or local.
Covers the bug fixed in #628: missing cloud model prefixes for deepseek,
cohere, mistral, meta-llama, databricks, and together.
"""
# ── URL-based classification ──────────────────────────────────────────
def test_localhost_url_is_local(self):
assert _classify_runtime(base_url="http://localhost:11434/v1") == "local"
def test_127_loopback_is_local(self):
assert _classify_runtime(base_url="http://127.0.0.1:8080/v1") == "local"
def test_rfc1918_is_local(self):
assert _classify_runtime(base_url="http://192.168.1.10:11434/v1") == "local"
def test_openrouter_url_is_cloud(self):
assert _classify_runtime(base_url="https://openrouter.ai/api/v1") == "cloud"
def test_anthropic_url_is_cloud(self):
assert _classify_runtime(base_url="https://api.anthropic.com") == "cloud"
def test_deepseek_url_is_cloud(self):
assert _classify_runtime(base_url="https://api.deepseek.com/v1") == "cloud"
# ── Provider-name classification ──────────────────────────────────────
def test_ollama_provider_is_local(self):
assert _classify_runtime(provider="ollama") == "local"
def test_custom_provider_is_local(self):
assert _classify_runtime(provider="custom") == "local"
def test_openrouter_provider_is_cloud(self):
assert _classify_runtime(provider="openrouter") == "cloud"
def test_nous_provider_is_cloud(self):
assert _classify_runtime(provider="nous") == "cloud"
def test_anthropic_provider_is_cloud(self):
assert _classify_runtime(provider="anthropic") == "cloud"
# ── Previously-missing cloud prefixes (issue #628) ────────────────────
def test_deepseek_model_prefix_is_cloud(self):
assert _classify_runtime(model="deepseek/deepseek-v2") == "cloud"
def test_cohere_model_prefix_is_cloud(self):
assert _classify_runtime(model="cohere/command-r-plus") == "cloud"
def test_mistralai_model_prefix_is_cloud(self):
assert _classify_runtime(model="mistralai/mistral-large-2407") == "cloud"
def test_meta_llama_model_prefix_is_cloud(self):
assert _classify_runtime(model="meta-llama/llama-3.1-70b-instruct") == "cloud"
def test_databricks_model_prefix_is_cloud(self):
assert _classify_runtime(model="databricks/dbrx-instruct") == "cloud"
def test_together_model_prefix_is_cloud(self):
assert _classify_runtime(model="together/together-api-model") == "cloud"
# ── Providers that were already detected before #628 ─────────────────
def test_openai_model_prefix_is_cloud(self):
assert _classify_runtime(model="openai/gpt-4.1") == "cloud"
def test_anthropic_model_prefix_is_cloud(self):
assert _classify_runtime(model="anthropic/claude-opus-4.6") == "cloud"
def test_google_model_prefix_is_cloud(self):
assert _classify_runtime(model="google/gemini-3-pro") == "cloud"
def test_minimax_model_prefix_is_cloud(self):
assert _classify_runtime(model="minimax/minimax-m2.7") == "cloud"
# ── Fallback / edge cases ────────────────────────────────────────────
def test_no_args_defaults_to_cloud(self):
assert _classify_runtime() == "cloud"
def test_empty_strings_default_to_cloud(self):
assert _classify_runtime(model="", base_url="", provider="") == "cloud"
def test_url_takes_priority_over_provider(self):
# Explicit local URL wins even if provider looks like cloud
assert _classify_runtime(model="openai/gpt-4", base_url="http://localhost:11434/v1", provider="openai") == "local"
def test_bare_model_name_without_slash_defaults_to_cloud(self):
# No slash → can't infer vendor → cloud (safe default)
assert _classify_runtime(model="gpt-4o") == "cloud"