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feat(agent): configurable timeouts for auxiliary LLM calls via config.yaml (#3597)

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Add per-task timeout settings under auxiliary.{task}.timeout in config.yaml
instead of hardcoded values. Users with slow local models (Ollama, llama.cpp)
can now increase timeouts for compression, vision, session search, etc.

Defaults:
  - auxiliary.compression.timeout: 120s (was hardcoded 45s)
  - auxiliary.vision.timeout: 30s (unchanged)
  - all other aux tasks: 30s (was hardcoded 30s)
  - title_generator: 30s (was hardcoded 15s)

call_llm/async_call_llm now auto-resolve timeout from config when not
explicitly passed. Callers can still override with an explicit timeout arg.

Based on PR #3406 by alanfwilliams. Converted from env vars to config.yaml
per project conventions.

Co-authored-by: alanfwilliams <alanfwilliams@users.noreply.github.com>
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Teknium 2026-03-28 14:35:28 -07:00 • committed by GitHub
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7
hermes_cli/config.py
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@ -227,42 +227,49 @@ DEFAULT_CONFIG = {
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30, # seconds — increase for slow local models
},
"compression": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 120, # seconds — compression summarises large contexts; increase for local models
},
"session_search": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"skills_hub": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"approval": {
"provider": "auto",
"model": "", # fast/cheap model recommended (e.g. gemini-flash, haiku)
"base_url": "",
"api_key": "",
"timeout": 30,
},
"mcp": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
"flush_memories": {
"provider": "auto",
"model": "",
"base_url": "",
"api_key": "",
"timeout": 30,
},
},