Skip to content

fix(model): wire openai_compatible configuration across trainer, eval, and config pipeline #262

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
RohithPariki wants to merge 3 commits into
base: main
Choose a base branch
from
Open

fix(model): wire openai_compatible configuration across trainer, eval, and config pipeline #262

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
e16083f
fix(model): wire openai_compatible configuration across trainer, eval…
RohithPariki Aug 29, 2026
451f2e8
fix(model): resolve entry-point gaps in train and eval-only pipelines
RohithPariki Aug 30, 2026
d1ed2f2
fix(model): initialize MiniMax OPTIMIZER_DEPLOYMENT at import and add…
RohithPariki Aug 31, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
173 changes: 168 additions & 5 deletions scripts/eval_only.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@
configure_copilot_exec,
configure_cursor_exec,
configure_minimax_chat,
configure_openai_compatible,
configure_qwen_chat,
set_optimizer_backend,
set_optimizer_deployment,
Expand Down Expand Up @@ -161,7 +162,24 @@ def parse_args() -> argparse.Namespace:
# Legacy flat overrides
p.add_argument("--env", type=str)
p.add_argument("--backend", type=str,
choices=["azure_openai", "codex", "codex_exec", "claude", "claude_chat", "claude_code_exec", "cursor", "cursor_exec", "copilot", "copilot_chat", "copilot_exec", "minimax", "minimax_chat"])
choices=[
"azure_openai",
"codex",
"codex_exec",
"claude",
"claude_chat",
"claude_code_exec",
"cursor",
"cursor_exec",
"copilot",
"copilot_chat",
"copilot_exec",
"qwen",
"qwen_chat",
"minimax",
"minimax_chat",
"openai_compatible",
])
p.add_argument("--optimizer_model", type=str)
p.add_argument("--target_model", type=str)
p.add_argument("--optimizer_backend", type=str)
Expand Down Expand Up @@ -189,6 +207,45 @@ def parse_args() -> argparse.Namespace:
p.add_argument("--target_azure_openai_auth_mode", type=str)
p.add_argument("--target_azure_openai_ad_scope", type=str)
p.add_argument("--target_azure_openai_managed_identity_client_id", type=str)
p.add_argument("--qwen_chat_base_url", type=str)
p.add_argument("--qwen_chat_api_key", type=str)
p.add_argument("--qwen_chat_temperature", type=float)
p.add_argument("--qwen_chat_timeout_seconds", type=float)
p.add_argument("--qwen_chat_max_tokens", type=int)
p.add_argument("--qwen_chat_enable_thinking", type=_BOOL)
p.add_argument("--qwen_chat_thinking_mode", type=str)
p.add_argument("--optimizer_qwen_chat_base_url", type=str)
p.add_argument("--optimizer_qwen_chat_api_key", type=str)
p.add_argument("--optimizer_qwen_chat_temperature", type=float)
p.add_argument("--optimizer_qwen_chat_timeout_seconds", type=float)
p.add_argument("--optimizer_qwen_chat_max_tokens", type=int)
p.add_argument("--optimizer_qwen_chat_enable_thinking", type=_BOOL)
p.add_argument("--optimizer_qwen_chat_thinking_mode", type=str)
p.add_argument("--target_qwen_chat_base_url", type=str)
p.add_argument("--target_qwen_chat_api_key", type=str)
p.add_argument("--target_qwen_chat_temperature", type=float)
p.add_argument("--target_qwen_chat_timeout_seconds", type=float)
p.add_argument("--target_qwen_chat_max_tokens", type=int)
p.add_argument("--target_qwen_chat_enable_thinking", type=_BOOL)
p.add_argument("--target_qwen_chat_thinking_mode", type=str)
p.add_argument("--openai_compatible_base_url", type=str)
p.add_argument("--openai_compatible_api_key", type=str)
p.add_argument("--openai_compatible_model", type=str)
p.add_argument("--openai_compatible_temperature", type=float)
p.add_argument("--openai_compatible_timeout_seconds", type=float)
p.add_argument("--openai_compatible_max_tokens", type=int)
p.add_argument("--optimizer_openai_compatible_base_url", type=str)
p.add_argument("--optimizer_openai_compatible_api_key", type=str)
p.add_argument("--optimizer_openai_compatible_model", type=str)
p.add_argument("--optimizer_openai_compatible_temperature", type=float)
p.add_argument("--optimizer_openai_compatible_timeout_seconds", type=float)
p.add_argument("--optimizer_openai_compatible_max_tokens", type=int)
p.add_argument("--target_openai_compatible_base_url", type=str)
p.add_argument("--target_openai_compatible_api_key", type=str)
p.add_argument("--target_openai_compatible_model", type=str)
p.add_argument("--target_openai_compatible_temperature", type=float)
p.add_argument("--target_openai_compatible_timeout_seconds", type=float)
p.add_argument("--target_openai_compatible_max_tokens", type=int)
p.add_argument("--codex_exec_path", type=str)
p.add_argument("--codex_exec_sandbox", type=str)
p.add_argument("--codex_exec_profile", type=str)
Expand Down Expand Up @@ -244,10 +301,8 @@ def parse_args() -> argparse.Namespace:
return p.parse_args()


def main() -> None:
args = parse_args()

from skillopt.config import load_config as _load, flatten_config, is_structured
def load_config(args: argparse.Namespace) -> dict:
from skillopt.config import flatten_config, is_structured, load_config as _load

cfg = _load(args.config, overrides=args.cfg_options)
structured = is_structured(cfg)
Expand Down Expand Up @@ -286,6 +341,45 @@ def main() -> None:
"target_azure_openai_auth_mode": "model.target_azure_openai_auth_mode",
"target_azure_openai_ad_scope": "model.target_azure_openai_ad_scope",
"target_azure_openai_managed_identity_client_id": "model.target_azure_openai_managed_identity_client_id",
"qwen_chat_base_url": "model.qwen_chat_base_url",
"qwen_chat_api_key": "model.qwen_chat_api_key",
"qwen_chat_temperature": "model.qwen_chat_temperature",
"qwen_chat_timeout_seconds": "model.qwen_chat_timeout_seconds",
"qwen_chat_max_tokens": "model.qwen_chat_max_tokens",
"qwen_chat_enable_thinking": "model.qwen_chat_enable_thinking",
"qwen_chat_thinking_mode": "model.qwen_chat_thinking_mode",
"optimizer_qwen_chat_base_url": "model.optimizer_qwen_chat_base_url",
"optimizer_qwen_chat_api_key": "model.optimizer_qwen_chat_api_key",
"optimizer_qwen_chat_temperature": "model.optimizer_qwen_chat_temperature",
"optimizer_qwen_chat_timeout_seconds": "model.optimizer_qwen_chat_timeout_seconds",
"optimizer_qwen_chat_max_tokens": "model.optimizer_qwen_chat_max_tokens",
"optimizer_qwen_chat_enable_thinking": "model.optimizer_qwen_chat_enable_thinking",
"optimizer_qwen_chat_thinking_mode": "model.optimizer_qwen_chat_thinking_mode",
"target_qwen_chat_base_url": "model.target_qwen_chat_base_url",
"target_qwen_chat_api_key": "model.target_qwen_chat_api_key",
"target_qwen_chat_temperature": "model.target_qwen_chat_temperature",
"target_qwen_chat_timeout_seconds": "model.target_qwen_chat_timeout_seconds",
"target_qwen_chat_max_tokens": "model.target_qwen_chat_max_tokens",
"target_qwen_chat_enable_thinking": "model.target_qwen_chat_enable_thinking",
"target_qwen_chat_thinking_mode": "model.target_qwen_chat_thinking_mode",
"openai_compatible_base_url": "model.openai_compatible_base_url",
"openai_compatible_api_key": "model.openai_compatible_api_key",
"openai_compatible_model": "model.openai_compatible_model",
"openai_compatible_temperature": "model.openai_compatible_temperature",
"openai_compatible_timeout_seconds": "model.openai_compatible_timeout_seconds",
"openai_compatible_max_tokens": "model.openai_compatible_max_tokens",
"optimizer_openai_compatible_base_url": "model.optimizer_openai_compatible_base_url",
"optimizer_openai_compatible_api_key": "model.optimizer_openai_compatible_api_key",
"optimizer_openai_compatible_model": "model.optimizer_openai_compatible_model",
"optimizer_openai_compatible_temperature": "model.optimizer_openai_compatible_temperature",
"optimizer_openai_compatible_timeout_seconds": "model.optimizer_openai_compatible_timeout_seconds",
"optimizer_openai_compatible_max_tokens": "model.optimizer_openai_compatible_max_tokens",
"target_openai_compatible_base_url": "model.target_openai_compatible_base_url",
"target_openai_compatible_api_key": "model.target_openai_compatible_api_key",
"target_openai_compatible_model": "model.target_openai_compatible_model",
"target_openai_compatible_temperature": "model.target_openai_compatible_temperature",
"target_openai_compatible_timeout_seconds": "model.target_openai_compatible_timeout_seconds",
"target_openai_compatible_max_tokens": "model.target_openai_compatible_max_tokens",
"codex_exec_path": "model.codex_exec_path",
"codex_exec_sandbox": "model.codex_exec_sandbox",
"codex_exec_profile": "model.codex_exec_profile",
Expand Down Expand Up @@ -399,6 +493,9 @@ def _set_role(key: str, value: str) -> None:
elif backend == "copilot_exec":
_set_role("optimizer_backend", "openai_chat")
_set_role("target_backend", "copilot_exec")
elif backend == "qwen_chat":
_set_role("optimizer_backend", "openai_chat")
_set_role("target_backend", "qwen_chat")
elif backend == "minimax_chat":
_set_role("optimizer_backend", "openai_chat")
_set_role("target_backend", "minimax_chat")
Expand All @@ -424,6 +521,22 @@ def _set_role(key: str, value: str) -> None:
and not _has_model_override("model.optimizer", "optimizer_model")
):
cfg["optimizer_model"] = default_model_for_backend("claude_code_exec")
if cfg.get("optimizer_backend") == "qwen_chat":
if (
str(cfg.get("optimizer_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
and not _has_model_override("model.optimizer", "optimizer_model")
):
cfg["optimizer_model"] = default_model_for_backend("qwen_chat")
if cfg.get("optimizer_backend") == "openai_compatible":
if (
str(cfg.get("optimizer_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
and not _has_model_override("model.optimizer", "optimizer_model")
):
cfg["optimizer_model"] = (
cfg.get("optimizer_openai_compatible_model")
or cfg.get("openai_compatible_model")
or default_model_for_backend("openai_compatible")
)
if cfg.get("target_backend") == "claude_chat":
if (
str(cfg.get("target_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
Expand All @@ -449,6 +562,12 @@ def _set_role(key: str, value: str) -> None:
):
# Copilot CLI model IDs are independent of Azure deployment names.
cfg["target_model"] = ""
if cfg.get("target_backend") == "qwen_chat":
if (
str(cfg.get("target_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
and not _has_model_override("model.target", "target_model")
):
cfg["target_model"] = default_model_for_backend("qwen_chat")
if cfg.get("target_backend") == "minimax_chat":
if (
str(cfg.get("target_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
Expand All @@ -458,6 +577,16 @@ def _set_role(key: str, value: str) -> None:
cfg.get("minimax_model")
or default_model_for_backend("minimax_chat")
)
if cfg.get("target_backend") == "openai_compatible":
if (
str(cfg.get("target_model", "") or "").strip() in _OPENAI_DEFAULT_MODEL_SENTINELS
and not _has_model_override("model.target", "target_model")
):
cfg["target_model"] = (
cfg.get("target_openai_compatible_model")
or cfg.get("openai_compatible_model")
or default_model_for_backend("openai_compatible")
)

if not cfg.get("out_root"):
env = cfg.get("env", "unknown")
Expand All @@ -466,6 +595,12 @@ def _set_role(key: str, value: str) -> None:
cfg["out_root"] = os.path.join("outputs", f"eval_{env}_{model}_{ts}")

cfg["out_root"] = os.path.abspath(cfg["out_root"])
return cfg


def main() -> None:
args = parse_args()
cfg = load_config(args)

out_root = cfg["out_root"]
os.makedirs(out_root, exist_ok=True)
Expand Down Expand Up @@ -501,6 +636,7 @@ def _set_role(key: str, value: str) -> None:
cfg.get("target_azure_openai_managed_identity_client_id") or None
),
)
backend = cfg.get("model_backend") or cfg.get("target_backend") or "azure_openai"
set_optimizer_backend(cfg.get("optimizer_backend", "openai_chat"))
set_target_backend(cfg.get("target_backend", "openai_chat"))
set_optimizer_deployment(cfg.get("optimizer_model", default_model_for_backend(backend)))
Expand Down Expand Up @@ -535,6 +671,13 @@ def _set_role(key: str, value: str) -> None:
max_tokens=cfg.get("qwen_chat_max_tokens"),
enable_thinking=cfg.get("qwen_chat_enable_thinking"),
thinking_mode=cfg.get("qwen_chat_thinking_mode"),
optimizer_base_url=cfg.get("optimizer_qwen_chat_base_url") or None,
optimizer_api_key=cfg.get("optimizer_qwen_chat_api_key") or None,
optimizer_temperature=cfg.get("optimizer_qwen_chat_temperature"),
optimizer_timeout_seconds=cfg.get("optimizer_qwen_chat_timeout_seconds"),
optimizer_max_tokens=cfg.get("optimizer_qwen_chat_max_tokens"),
optimizer_enable_thinking=cfg.get("optimizer_qwen_chat_enable_thinking"),
optimizer_thinking_mode=cfg.get("optimizer_qwen_chat_thinking_mode"),
target_base_url=cfg.get("target_qwen_chat_base_url") or None,
target_api_key=cfg.get("target_qwen_chat_api_key") or None,
target_temperature=cfg.get("target_qwen_chat_temperature"),
Expand All @@ -554,6 +697,26 @@ def _set_role(key: str, value: str) -> None:
minimax_model_cfg = cfg.get("minimax_model")
if minimax_model_cfg and cfg.get("target_backend") == "minimax_chat":
set_target_deployment(str(minimax_model_cfg))
configure_openai_compatible(
base_url=cfg.get("openai_compatible_base_url") or None,
api_key=cfg.get("openai_compatible_api_key") or None,
model=cfg.get("openai_compatible_model") or None,
temperature=cfg.get("openai_compatible_temperature"),
timeout_seconds=cfg.get("openai_compatible_timeout_seconds"),
max_tokens=cfg.get("openai_compatible_max_tokens"),
optimizer_base_url=cfg.get("optimizer_openai_compatible_base_url") or None,
optimizer_api_key=cfg.get("optimizer_openai_compatible_api_key") or None,
optimizer_model=cfg.get("optimizer_openai_compatible_model") or None,
optimizer_temperature=cfg.get("optimizer_openai_compatible_temperature"),
optimizer_timeout_seconds=cfg.get("optimizer_openai_compatible_timeout_seconds"),
optimizer_max_tokens=cfg.get("optimizer_openai_compatible_max_tokens"),
target_base_url=cfg.get("target_openai_compatible_base_url") or None,
target_api_key=cfg.get("target_openai_compatible_api_key") or None,
target_model=cfg.get("target_openai_compatible_model") or None,
target_temperature=cfg.get("target_openai_compatible_temperature"),
target_timeout_seconds=cfg.get("target_openai_compatible_timeout_seconds"),
target_max_tokens=cfg.get("target_openai_compatible_max_tokens"),
)
set_reasoning_effort(cfg.get("reasoning_effort", "") or None)

# Build adapter
Expand Down
Loading