Let AzureOpenAIBackend drive any OpenAI-compatible chat-completions server
(DeepSeek, self-hosted vLLM/Ollama, ...) alongside native Azure deployments.
- __init__ resolves the endpoint as: explicit arg > AZURE_OPENAI_ENDPOINT env
> the built-in _AZURE_ENDPOINTS table (previously a non-Azure endpoint could
not be supplied at all).
- _get_client() builds a plain openai.OpenAI(base_url=...) client when
AZURE_OPENAI_AUTH_MODE=openai_compatible, matching the auth mode already
supported by the sibling skillopt/model/azure_openai.py. This avoids the
AzureOpenAI SDK rewriting request URLs with Azure-only ?api-version= query
params and deployment path segments, which non-Azure servers reject with 404.
- _call() sends max_tokens + extra_body thinking flag for deepseek* models and
records the last exception in self.last_call_error so a failed night is
diagnosable instead of collapsing to a silent empty->0 score.
Adds docs/sleep/openai-compatible-endpoints.md and sanitized example
runner/watchdog scripts documenting an Antigravity + DeepSeek integration.
The default managed-identity Azure path is unchanged.
Alphaxalchemy