APEX/BrowserUse_and_ComputerUse_skills
5
0
Fork 0
Code Issues 6 Pull requests 1 Projects 1 Releases Packages Wiki Activity Actions

fix(metadata): fuzzy context length match prefers longest key

Browse source 
The fuzzy match for model context lengths iterated dict insertion
order. Shorter model names (e.g. 'gpt-5') could match before more
specific ones (e.g. 'gpt-5.4-pro'), returning the wrong context
length.

Sort by key length descending so more specific model names always
match first.
This commit is contained in:
teknium1 2026-03-17 04:12:08 -07:00
parent 4433b83378
commit 9db75fcfc2
1 changed files with 4 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

6
agent/model_metadata.py
View file

@ -266,8 +266,10 @@ def get_model_context_length(model: str, base_url: str = "") -> int:
if model in metadata: if model in metadata:
return metadata[model].get("context_length", 128000) return metadata[model].get("context_length", 128000)
# 3. Hardcoded defaults (fuzzy match) # 3. Hardcoded defaults (fuzzy match — longest key first for specificity)
for default_model, length in DEFAULT_CONTEXT_LENGTHS.items(): for default_model, length in sorted(
DEFAULT_CONTEXT_LENGTHS.items(), key=lambda x: len(x[0]), reverse=True
):
if default_model in model or model in default_model: if default_model in model or model in default_model:
return length return length