leetcrypt 85fde59292 perf(ai): keep the Ollama model warm and honor a real num_ctx ... OllamaProvider now sends keep_alive (default 30m) so the model stays resident in VRAM between /ai calls instead of cold-reloading, and sets explicit options (num_ctx 8192, num_predict 512) — Ollama otherwise caps context at 2048, which would silently truncate the larger backfilled window. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-06-02 17:43:02 -07:00
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__init__.py	feat(agent): model-agnostic AI agent bridge (PoC) + pin lets-hack demo to main	2026-06-01 02:05:48 -07:00
__main__.py	feat(ai): backfill context on join + token-budget window	2026-06-02 17:43:02 -07:00
bridge.py	feat(ai): backfill context on join + token-budget window	2026-06-02 17:43:02 -07:00
profiles.py	feat(ai): model profiles, capability discovery, and agentless /ai list|models	2026-06-01 15:25:07 -07:00
providers.py	perf(ai): keep the Ollama model warm and honor a real num_ctx	2026-06-02 17:43:02 -07:00