Files
gitprov e3e4f9d0ec Fix model config context/token limits and inject gutask orientation into agent identity
- Chat model max_tokens: 32000 → 4096 (was inflating context budget calculations)
- Utility model ctx_length: 8192 → 14000 (matches GLM flash actual loaded context)
- Utility model max_tokens: explicit 2048 cap (utility tasks need short responses)
- Utility model name: full zai-org/glm-4.7-flash to target correct LM Studio instance
- pull-agent-identity.py: include agent_id and gutask orientation block in system prompt
- gutask.md: expand lore command docs, note done auto-creates review record

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-10 23:32:58 +02:00

41 lines
883 B
JSON

{
"allow_chat_override": false,
"chat_model": {
"provider": "lm_studio",
"name": "nousresearch/hermes-4-70b",
"api_base": "http://festinger:11434",
"ctx_length": 32000,
"ctx_history": 0.7,
"vision": true,
"rl_requests": 0,
"rl_input": 0,
"rl_output": 0,
"kwargs": {
"max_tokens": 4096,
"agent_id": 8
},
"max_embeds": 10
},
"utility_model": {
"provider": "lm_studio",
"name": "zai-org/glm-4.7-flash",
"api_base": "http://host.docker.internal:1234/v1",
"ctx_length": 14000,
"ctx_input": 0.7,
"rl_requests": 0,
"rl_input": 0,
"rl_output": 0,
"kwargs": {
"max_tokens": 2048
}
},
"embedding_model": {
"provider": "huggingface",
"name": "sentence-transformers/all-MiniLM-L6-v2",
"api_base": "",
"rl_requests": 0,
"rl_input": 0,
"kwargs": {}
}
}