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fix(gateway): pass model to temporary AIAgent instances

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Memory flush, /compress, and session hygiene create AIAgent without
model=, falling back to the hardcoded default "anthropic/claude-opus-4.6".
This fails with a 400 error when the active provider is openai-codex
(Codex only accepts its own model names like gpt-5.1-codex-mini).

Add _resolve_gateway_model() that mirrors the env/config resolution
already used by _run_agent_sync, and wire it into all three temporary
agent creation sites.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Dev User 2026-03-11 00:09:37 +01:00 • committed by teknium1
parent d905e612aa
commit 66c0b719de
1 changed files with 35 additions and 0 deletions
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35
gateway/run.py
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@ -187,6 +187,30 @@ def _resolve_runtime_agent_kwargs() -> dict:
}
def _resolve_gateway_model() -> str:
"""Read model from env/config — mirrors the resolution in _run_agent_sync.
Without this, temporary AIAgent instances (memory flush, /compress) fall
back to the hardcoded default ("anthropic/claude-opus-4.6") which fails
when the active provider is openai-codex.
"""
model = os.getenv("HERMES_MODEL") or os.getenv("LLM_MODEL") or "anthropic/claude-opus-4.6"
try:
import yaml as _y
_cfg_path = _hermes_home / "config.yaml"
if _cfg_path.exists():
with open(_cfg_path, encoding="utf-8") as _f:
_cfg = _y.safe_load(_f) or {}
_model_cfg = _cfg.get("model", {})
if isinstance(_model_cfg, str):
model = _model_cfg
elif isinstance(_model_cfg, dict):
model = _model_cfg.get("default", model)
except Exception:
pass
return model
class GatewayRunner:
"""
Main gateway controller.
@ -258,8 +282,14 @@ class GatewayRunner:
if not runtime_kwargs.get("api_key"):
return
# Resolve model from config — AIAgent's default is OpenRouter-
# formatted ("anthropic/claude-opus-4.6") which fails when the
# active provider is openai-codex.
model = _resolve_gateway_model()
tmp_agent = AIAgent(
**runtime_kwargs,
model=model,
max_iterations=8,
quiet_mode=True,
enabled_toolsets=["memory", "skills"],
@ -1106,6 +1136,7 @@ class GatewayRunner:
if len(_hyg_msgs) >= 4:
_hyg_agent = AIAgent(
**_hyg_runtime,
model=_hyg_model,
max_iterations=4,
quiet_mode=True,
enabled_toolsets=["memory"],
@ -2169,6 +2200,9 @@ class GatewayRunner:
if not runtime_kwargs.get("api_key"):
return "No provider configured -- cannot compress."
# Resolve model from config (same reason as memory flush above).
model = _resolve_gateway_model()
msgs = [
{"role": m.get("role"), "content": m.get("content")}
for m in history
@ -2179,6 +2213,7 @@ class GatewayRunner:
tmp_agent = AIAgent(
**runtime_kwargs,
model=model,
max_iterations=4,
quiet_mode=True,
enabled_toolsets=["memory"],