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feat: integrate MiniMax into model router, backend config, and common

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common.py:
- Add minimax_chat → MiniMax/MiniMax-Text-01 to _BACKEND_DEFAULT_MODELS
- Add minimax/minimax_chat aliases to _BACKEND_ALIASES

backend_config.py:
- Add minimax_chat to set_optimizer_backend() valid set
- Add minimax_chat to set_target_backend() valid set
- Add minimax_chat to is_optimizer_chat_backend()
- Add minimax_chat to is_target_chat_backend()

__init__.py:
- Import minimax_backend as _minimax
- Add minimax_chat to set_backend() legacy handler
- Add minimax_chat to get_backend_name() reporting
- Route chat_target() and chat_target_messages() to _minimax
- Update NotImplementedError messages to list minimax_chat
- Aggregate _minimax into get_token_summary()
- Add _minimax.reset_token_tracker()
- Add configure_minimax_chat() delegator
- Add _minimax to set_reasoning_effort() and set_target_deployment()
This commit is contained in:
Declan Murphy
2026-05-31 05:22:33 +08:00
parent d224d425f9
commit 309ea64ff4
3 changed files with 71 additions and 8 deletions
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skillopt/model/backend_config.py
+6 -6
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@@ -49,10 +49,10 @@ CLAUDE_CODE_EXEC_MAX_THINKING_TOKENS = max(
def set_optimizer_backend(backend: str) -> None:
global OPTIMIZER_BACKEND
OPTIMIZER_BACKEND = normalize_backend_name(backend or "openai_chat")
if OPTIMIZER_BACKEND not in {"openai_chat", "claude_chat"}:
if OPTIMIZER_BACKEND not in {"openai_chat", "claude_chat", "minimax_chat"}:
raise ValueError(
f"Unsupported optimizer backend: {OPTIMIZER_BACKEND!r}. "
"Supported values are 'openai_chat' and 'claude_chat'."
"Supported values are 'openai_chat', 'claude_chat', and 'minimax_chat'."
)
os.environ["OPTIMIZER_BACKEND"] = OPTIMIZER_BACKEND
@@ -64,10 +64,10 @@ def get_optimizer_backend() -> str:
def set_target_backend(backend: str) -> None:
global TARGET_BACKEND
TARGET_BACKEND = normalize_backend_name(backend or "openai_chat")
if TARGET_BACKEND not in {"openai_chat", "claude_chat", "qwen_chat", "codex_exec", "claude_code_exec"}:
if TARGET_BACKEND not in {"openai_chat", "claude_chat", "qwen_chat", "minimax_chat", "codex_exec", "claude_code_exec"}:
raise ValueError(
f"Unsupported target backend: {TARGET_BACKEND!r}. "
"Supported values are 'openai_chat', 'claude_chat', 'qwen_chat', 'codex_exec', and 'claude_code_exec'."
"Supported values are 'openai_chat', 'claude_chat', 'qwen_chat', 'minimax_chat', 'codex_exec', and 'claude_code_exec'."
)
os.environ["TARGET_BACKEND"] = TARGET_BACKEND
@@ -81,11 +81,11 @@ def is_target_exec_backend() -> bool:
def is_optimizer_chat_backend() -> bool:
return OPTIMIZER_BACKEND in {"openai_chat", "claude_chat"}
return OPTIMIZER_BACKEND in {"openai_chat", "claude_chat", "minimax_chat"}
def is_target_chat_backend() -> bool:
return TARGET_BACKEND in {"openai_chat", "claude_chat", "qwen_chat"}
return TARGET_BACKEND in {"openai_chat", "claude_chat", "qwen_chat", "minimax_chat"}
def configure_codex_exec(