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Add local-only LM Studio model profile (local.json) - #150
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huangyingting pushed a commit
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Jun 26, 2026
Resolves Dependabot security alerts in worker_plan/pyproject.toml by bumping to the first stable patched release of each package: - aiohttp 3.13.5 -> 3.14.1 (alerts PlanExeOrg#152,PlanExeOrg#153,PlanExeOrg#156-PlanExeOrg#164) - tornado 6.5.4 -> 6.5.7 (alerts PlanExeOrg#113,PlanExeOrg#114,PlanExeOrg#136,PlanExeOrg#155,PlanExeOrg#165,PlanExeOrg#166,PlanExeOrg#171) - python-multipart 0.0.22 -> 0.0.32 (alerts PlanExeOrg#142,PlanExeOrg#149,PlanExeOrg#167-PlanExeOrg#170) - urllib3 2.6.3 -> 2.7.0 (alerts PlanExeOrg#150,PlanExeOrg#151) - marshmallow 3.24.2 -> 3.26.2 (alert PlanExeOrg#81), staying on 3.x to avoid the breaking 4.x major transformers alert PlanExeOrg#137 is excluded: its only fix is the 5.x major line and the vulnerable Trainer class is never imported by PlanExe (handled separately). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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This PR adds a clean, local-only LM Studio model profile for PlanExe.
What it does
local.jsonconfiguration file for LM Studio-based local modelsWhy context_window and num_output matter
The llama_index library uses conservative defaults for context_window (3900 tokens) and num_output (256 tokens) that can silently truncate prompts for local models. This profile explicitly sets:
context_window: 32768— prevents silent truncation of long promptsnum_output: 4096— allows for more detailed responsesThese settings ensure that local models receive complete prompts and can generate fuller responses without the underlying llama_index framework silently cutting content.
Reference