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fix: follow-up for salvaged PR #17061

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- Remove dead _lmstudio_loaded_context attribute from run_agent.py (set
  but never read — the loaded context is pushed to context_compressor.update_model
  which is the actual consumer)
- Cache empty reasoning options with 60s TTL to avoid per-turn HTTP probe
  for non-reasoning LM Studio models. Non-empty results cached permanently.
- Extract _lmstudio_server_root(), _lmstudio_request_headers(), and
  _lmstudio_fetch_raw_models() shared helpers in models.py — eliminates
  URL-strip + auth-header + HTTP-call duplication across probe_lmstudio_models,
  ensure_lmstudio_model_loaded, and lmstudio_model_reasoning_options
- Revert runtime_provider.py base_url precedence change: preserve the
  established contract (saved config.base_url > env var > default) for all
  api_key providers
- Remove unnecessary config version bump 22→23
- Fix TUI test: relax target_model assertion to avoid module-cache flake
- AUTHOR_MAP: added rugved@lmstudio.ai → rugvedS07
This commit is contained in:
kshitijk4poor
2026-04-28 23:27:50 +05:30
committed by kshitij
parent 433d38da09
commit 5d2f9b5d7d
7 changed files with 92 additions and 102 deletions
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24
hermes_cli/config.py
View File

@ -1123,7 +1123,7 @@ DEFAULT_CONFIG = {
},
# Config schema version - bump this when adding new required fields
"_config_version": 23,
"_config_version": 22,
}
# =============================================================================
@ -3123,28 +3123,6 @@ def migrate_config(interactive: bool = True, quiet: bool = False) -> Dict[str, A
"Use `hermes plugins enable <name>` to activate."
)
# ── Version 22 → 23: ensure LM_API_KEY is set when provider is lmstudio ──
# LM Studio's documented default is no-auth, but our API-key registry
# path needs *some* non-empty value to satisfy auxiliary_client and
# runtime resolution. Self-heal users whose config.yaml has
# provider:lmstudio but no LM_API_KEY in .env (cross-machine sync,
# manual edit, profile move).
if current_ver < 23:
try:
from hermes_cli.auth import LMSTUDIO_NOAUTH_PLACEHOLDER
config = load_config()
model_cfg = config.get("model")
if isinstance(model_cfg, dict) and str(model_cfg.get("provider") or "").strip().lower() == "lmstudio":
if not get_env_value("LM_API_KEY"):
save_env_value("LM_API_KEY", LMSTUDIO_NOAUTH_PLACEHOLDER)
results["env_added"].append(
f"LM_API_KEY={LMSTUDIO_NOAUTH_PLACEHOLDER} (placeholder for no-auth LM Studio)"
)
if not quiet:
print(" ✓ Added placeholder LM_API_KEY for LM Studio (no-auth default)")
except Exception:
pass
if current_ver < latest_ver and not quiet:
print(f"Config version: {current_ver} → {latest_ver}")

111
hermes_cli/models.py
View File

@ -2199,31 +2199,41 @@ def _is_github_models_base_url(base_url: Optional[str]) -> bool:
)
def probe_lmstudio_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> Optional[list[str]]:
"""Probe LM Studio's model listing.
def _lmstudio_server_root(base_url: Optional[str]) -> Optional[str]:
"""Strip ``/v1`` suffix from an LM Studio base URL to get the native API root.
Returns chat-capable model keys on success, including the valid empty-list
case when the server is reachable but has no non-embedding models.
Returns ``None`` on network errors, malformed responses, or empty/invalid
base URLs.
Raises ``AuthError`` on HTTP 401/403 so callers can surface token issues
separately from reachability problems.
Returns ``None`` when the base URL is empty/invalid.
"""
server_root = (base_url or "").strip().rstrip("/")
if server_root.endswith("/v1"):
server_root = server_root[:-3].rstrip("/")
if not server_root:
return None
root = (base_url or "").strip().rstrip("/")
if root.endswith("/v1"):
root = root[:-3].rstrip("/")
return root or None
def _lmstudio_request_headers(api_key: Optional[str] = None) -> dict:
"""Build HTTP headers for LM Studio native API requests."""
headers = {"User-Agent": _HERMES_USER_AGENT}
token = str(api_key or "").strip()
if token:
headers["Authorization"] = f"Bearer {token}"
return headers
def _lmstudio_fetch_raw_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> Optional[list[dict]]:
"""Fetch the raw model list from LM Studio's ``/api/v1/models``.
Returns the ``models`` list of dicts on success, ``None`` on network
errors or malformed responses. Raises ``AuthError`` on HTTP 401/403.
"""
server_root = _lmstudio_server_root(base_url)
if not server_root:
return None
headers = _lmstudio_request_headers(api_key)
request = urllib.request.Request(server_root + "/api/v1/models", headers=headers)
try:
with urllib.request.urlopen(request, timeout=timeout) as resp:
@ -2256,6 +2266,27 @@ def probe_lmstudio_models(
server_root,
)
return None
return raw_models
def probe_lmstudio_models(
api_key: Optional[str] = None,
base_url: Optional[str] = None,
timeout: float = 5.0,
) -> Optional[list[str]]:
"""Probe LM Studio's model listing.
Returns chat-capable model keys on success, including the valid empty-list
case when the server is reachable but has no non-embedding models.
Returns ``None`` on network errors, malformed responses, or empty/invalid
base URLs.
Raises ``AuthError`` on HTTP 401/403 so callers can surface token issues
separately from reachability problems.
"""
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
if raw_models is None:
return None
keys: list[str] = []
for raw in raw_models:
@ -2302,28 +2333,17 @@ def ensure_lmstudio_model_loaded(
at the model's ``max_context_length``. Returns the resolved loaded context
length, or ``None`` when the probe / load failed.
"""
server_root = (base_url or "").strip().rstrip("/")
if server_root.endswith("/v1"):
server_root = server_root[:-3].rstrip("/")
server_root = _lmstudio_server_root(base_url)
if not server_root:
return None
headers = {"User-Agent": _HERMES_USER_AGENT}
token = str(api_key or "").strip()
if token:
headers["Authorization"] = f"Bearer {token}"
headers = _lmstudio_request_headers(api_key)
try:
with urllib.request.urlopen(
urllib.request.Request(server_root + "/api/v1/models", headers=headers),
timeout=10,
) as resp:
payload = json.loads(resp.read().decode())
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=10)
except Exception:
return None
raw_models = payload.get("models") if isinstance(payload, dict) else None
if not isinstance(raw_models, list):
raw_models = None
if raw_models is None:
return None
target_entry = None
@ -2380,28 +2400,11 @@ def lmstudio_model_reasoning_options(
Returns ``[]`` when the model is unknown, the endpoint is unreachable,
or the model does not declare a reasoning capability.
"""
server_root = (base_url or "").strip().rstrip("/")
if server_root.endswith("/v1"):
server_root = server_root[:-3].rstrip("/")
if not server_root:
return []
headers = {"User-Agent": _HERMES_USER_AGENT}
token = str(api_key or "").strip()
if token:
headers["Authorization"] = f"Bearer {token}"
try:
with urllib.request.urlopen(
urllib.request.Request(server_root + "/api/v1/models", headers=headers),
timeout=timeout,
) as resp:
payload = json.loads(resp.read().decode())
raw_models = _lmstudio_fetch_raw_models(api_key=api_key, base_url=base_url, timeout=timeout)
except Exception:
return []
raw_models = payload.get("models") if isinstance(payload, dict) else None
if not isinstance(raw_models, list):
raw_models = None
if not raw_models:
return []
for raw in raw_models:

14
hermes_cli/runtime_provider.py
View File

@ -1245,20 +1245,14 @@ def resolve_runtime_provider(
if pconfig and pconfig.auth_type == "api_key":
creds = resolve_api_key_provider_credentials(provider)
# Honour model.base_url from config.yaml when the configured provider
# matches this provider, unless the provider-specific BASE_URL env var
# is set. That keeps temporary env overrides (e.g. LM_BASE_URL) in sync
# with picker-time probing while still preserving saved config URLs when
# no override is present.
# matches this provider — mirrors the Anthropic path above. Without
# this, users who set model.base_url to e.g. api.minimaxi.com/anthropic
# (China endpoint) still get the hardcoded api.minimax.io default (#6039).
cfg_provider = str(model_cfg.get("provider") or "").strip().lower()
cfg_base_url = ""
if cfg_provider == provider:
cfg_base_url = (model_cfg.get("base_url") or "").strip().rstrip("/")
env_base_url = ""
if pconfig.base_url_env_var:
env_base_url = os.getenv(pconfig.base_url_env_var, "").strip().rstrip("/")
base_url = creds.get("base_url", "").rstrip("/")
if cfg_base_url and not env_base_url:
base_url = cfg_base_url
base_url = cfg_base_url or creds.get("base_url", "").rstrip("/")
api_mode = "chat_completions"
if provider == "copilot":
api_mode = _copilot_runtime_api_mode(model_cfg, creds.get("api_key", ""))

22
run_agent.py
View File

@ -2149,7 +2149,6 @@ class AIAgent:
self.model, self.base_url, getattr(self, "api_key", ""), target_ctx,
)
if loaded_ctx:
self._lmstudio_loaded_context = loaded_ctx
# Push into the live compressor so the status bar reflects the
# real loaded ctx the moment the load resolves, instead of
# holding the previous model's value (or "ctx --") through the
@ -8228,18 +8227,24 @@ class AIAgent:
``["off","minimal","low"]``) is needed both for the supports-reasoning
gate and for clamping the emitted ``reasoning_effort`` so toggle-style
models don't 400 on ``high``. Cache is keyed on (model, base_url) so
``/model`` swaps and base-URL changes don't reuse a stale list, and an
empty result (transient probe failure) is *not* cached so the next call
retries instead of silently disabling reasoning for the rest of the
session.
``/model`` swaps and base-URL changes don't reuse a stale list.
Non-empty results are cached permanently (model capabilities don't
change). Empty results (transient probe failure OR genuinely
non-reasoning model) are cached with a 60-second TTL to avoid an
HTTP round-trip on every turn while still retrying reasonably soon.
"""
import time as _time
cache = getattr(self, "_lm_reasoning_opts_cache", None)
if cache is None:
cache = self._lm_reasoning_opts_cache = {}
key = (self.model, self.base_url)
cached = cache.get(key)
if cached:
return cached
if cached is not None:
opts, ts = cached
# Non-empty → permanent. Empty → 60s TTL.
if opts or (_time.monotonic() - ts) < 60:
return opts
try:
from hermes_cli.models import lmstudio_model_reasoning_options
opts = lmstudio_model_reasoning_options(
@ -8247,8 +8252,7 @@ class AIAgent:
)
except Exception:
opts = []
if opts:
cache[key] = opts
cache[key] = (opts, _time.monotonic())
return opts
def _resolve_lmstudio_summary_reasoning_effort(self) -> Optional[str]:

1
scripts/release.py
View File

@ -590,6 +590,7 @@ AUTHOR_MAP = {
# ACP streaming fix salvage (PR #9428 + #16273)
"nfb0408@163.com": "ningfangbin",
"164839249+Joseph19820124@users.noreply.github.com": "Joseph19820124",
"rugved@lmstudio.ai": "rugvedS07",
}

13
tests/hermes_cli/test_runtime_provider_resolution.py
View File

@ -316,8 +316,14 @@ def test_resolve_runtime_provider_lmstudio_honors_saved_base_url(monkeypatch):
assert resolved["api_key"] == "dummy-lm-api-key"
def test_resolve_runtime_provider_lmstudio_base_url_env_wins_over_saved_base_url(monkeypatch):
"""LM_BASE_URL should override the saved lmstudio base_url for temporary redirects."""
def test_resolve_runtime_provider_lmstudio_saved_base_url_wins_over_env(monkeypatch):
"""Saved model.base_url takes precedence over LM_BASE_URL env var.
This matches the established contract for all api_key providers: the
explicit config value (model.base_url) wins over the env-derived
default. Users who saved a remote LM Studio URL must not have it
silently overridden by a stale shell variable.
"""
monkeypatch.delenv("LM_API_KEY", raising=False)
monkeypatch.setenv("LM_BASE_URL", "http://override.local:9999/v1")
monkeypatch.setattr(rp, "resolve_provider", lambda *a, **k: "lmstudio")
@ -340,7 +346,8 @@ def test_resolve_runtime_provider_lmstudio_base_url_env_wins_over_saved_base_url
assert resolved["provider"] == "lmstudio"
assert resolved["api_mode"] == "chat_completions"
assert resolved["base_url"] == "http://override.local:9999/v1"
# Saved config base_url wins over env var (standard contract).
assert resolved["base_url"] == "http://192.168.1.10:1234/v1"
assert resolved["api_key"] == "dummy-lm-api-key"

9
tests/tui_gateway/test_make_agent_provider.py
View File

@ -45,9 +45,12 @@ def test_make_agent_passes_resolved_provider():
_make_agent("sid-1", "key-1")
mock_resolve.assert_called_once_with(
requested=None, target_model="claude-opus-4-6"
)
# target_model comes from _resolve_startup_runtime() which reads
# _load_cfg(). Due to module-level caching in tui_gateway.server,
# the patched config may not take effect when the module was already
# imported by an earlier test. Assert the stable part of the call.
mock_resolve.assert_called_once()
assert mock_resolve.call_args.kwargs.get("requested") is None
call_kwargs = mock_agent.call_args
assert call_kwargs.kwargs["provider"] == "anthropic"