fix: prefer loaded instance context size over max for LM Studio

When LM Studio has a model loaded with a custom context size (e.g.,
122K), prefer that over the model's max_context_length (e.g., 1M).
This makes the TUI status bar show the actual runtime context window.
This commit is contained in:
Peppi Littera
2026-03-18 22:00:53 +01:00
parent d223f7388d
commit c030ac1d85
2 changed files with 235 additions and 2 deletions

View File

@@ -549,10 +549,34 @@ def parse_context_limit_from_error(error_msg: str) -> Optional[int]:
return None
def _model_id_matches(candidate_id: str, lookup_model: str) -> bool:
"""Return True if *candidate_id* (from server) matches *lookup_model* (configured).
Supports two forms:
- Exact match: "nvidia-nemotron-super-49b-v1" == "nvidia-nemotron-super-49b-v1"
- Slug match: "nvidia/nvidia-nemotron-super-49b-v1" matches "nvidia-nemotron-super-49b-v1"
(the part after the last "/" equals lookup_model)
This covers LM Studio's native API which stores models as "publisher/slug"
while users typically configure only the slug after the "local:" prefix.
"""
if candidate_id == lookup_model:
return True
# Slug match: basename of candidate equals the lookup name
if "/" in candidate_id and candidate_id.rsplit("/", 1)[1] == lookup_model:
return True
return False
def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
"""Query a local server for the model's context length."""
import httpx
# Strip provider prefix (e.g., "local:model-name" → "model-name").
# LM Studio and Ollama don't use provider prefixes in their model IDs.
if ":" in model and not model.startswith("http"):
model = model.split(":", 1)[1]
# Strip /v1 suffix to get the server root
server_url = base_url.rstrip("/")
if server_url.endswith("/v1"):
@@ -587,6 +611,28 @@ def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
except ValueError:
pass
# LM Studio native API: /api/v1/models returns max_context_length.
# This is more reliable than the OpenAI-compat /v1/models which
# doesn't include context window information for LM Studio servers.
# Use _model_id_matches for fuzzy matching: LM Studio stores models as
# "publisher/slug" but users configure only "slug" after "local:" prefix.
if server_type == "lm-studio":
resp = client.get(f"{server_url}/api/v1/models")
if resp.status_code == 200:
data = resp.json()
for m in data.get("models", []):
if _model_id_matches(m.get("key", ""), model) or _model_id_matches(m.get("id", ""), model):
# Prefer loaded instance context (actual runtime value)
for inst in m.get("loaded_instances", []):
cfg = inst.get("config", {})
ctx = cfg.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# Fall back to max_context_length (theoretical model max)
ctx = m.get("max_context_length") or m.get("context_length")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# LM Studio / vLLM / llama.cpp: try /v1/models/{model}
resp = client.get(f"{server_url}/v1/models/{model}")
if resp.status_code == 200:
@@ -596,13 +642,14 @@ def _query_local_context_length(model: str, base_url: str) -> Optional[int]:
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
# Try /v1/models and find the model in the list
# Try /v1/models and find the model in the list.
# Use _model_id_matches to handle "publisher/slug" vs bare "slug".
resp = client.get(f"{server_url}/v1/models")
if resp.status_code == 200:
data = resp.json()
models_list = data.get("data", [])
for m in models_list:
if m.get("id") == model:
if _model_id_matches(m.get("id", ""), model):
ctx = m.get("max_model_len") or m.get("context_length") or m.get("max_tokens")
if ctx and isinstance(ctx, (int, float)):
return int(ctx)
@@ -633,6 +680,12 @@ def get_model_context_length(
if config_context_length is not None and isinstance(config_context_length, int) and config_context_length > 0:
return config_context_length
# Normalise provider-prefixed model names (e.g. "local:model-name" →
# "model-name") so cache lookups and server queries use the bare ID that
# local servers actually know about.
if ":" in model and not model.startswith("http"):
model = model.split(":", 1)[1]
# 1. Check persistent cache (model+provider)
if base_url:
cached = get_cached_context_length(model, base_url)