3 Commits

Author	SHA1	Message	Date
guilhermeleste	d5c5b61830	Add OpenAI-compatible backend support for Pioneer.ai and other providers ... - Add 'openai_compatible', 'compat', and 'openai' auth modes to azure_openai.py - Modify _make_client() to use OpenAI client (not AzureOpenAI) for compatible endpoints - Update type hints to support both AzureOpenAI and OpenAI clients - Auto-configure API version sentinel when using compatible modes - Add .env template for Pioneer.ai configuration This allows users to use Pioneer.ai or any OpenAI-compatible API endpoint as both optimizer and target backend without requiring Azure OpenAI. Resolves: Support for non-Azure OpenAI-compatible providers	2026-05-28 05:54:43 -03:00
Cuzyoung	4a1b984d87	refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update ... - Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts - CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model - Remove best_skill files, keep only initial skills - Fix slow update gate (force write into skill) - Fix SLOW_UPDATE marker stripping - Remove deep_reflect and meta_reflect mechanisms - Update .env.example with export prefix and azure_cli docs - Add endpoint empty validation in azure_openai.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>	2026-05-24 19:15:10 +00:00
CharlesYang030	244e346b83	SkillOpt v0.1.0: initial release ... - Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends	2026-05-21 17:22:04 +00:00