docs(copilot): correct backend hint in research MCP plugin (openai -> azure_openai)
The advertised backend choices in scripts/train.py use 'azure_openai', not 'openai'; align the inputSchema description hint accordingly. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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@@ -122,7 +122,7 @@ _COMMON_PROPS = {
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"config": {"type": "string",
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"config": {"type": "string",
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"description": "Path to a benchmark YAML config (e.g. configs/searchqa/default.yaml). See skillopt_list_configs."},
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"description": "Path to a benchmark YAML config (e.g. configs/searchqa/default.yaml). See skillopt_list_configs."},
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"env": {"type": "string", "description": "Override the environment/adapter name (e.g. searchqa, alfworld)."},
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"env": {"type": "string", "description": "Override the environment/adapter name (e.g. searchqa, alfworld)."},
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"backend": {"type": "string", "description": "Model backend (e.g. openai, claude, codex, qwen)."},
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"backend": {"type": "string", "description": "Model backend (e.g. azure_openai, claude, codex, qwen, minimax)."},
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"optimizer_model": {"type": "string", "description": "Model used for reflection/skill rewriting (the optimizer)."},
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"optimizer_model": {"type": "string", "description": "Model used for reflection/skill rewriting (the optimizer)."},
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"target_model": {"type": "string", "description": "Model used to execute tasks (the target)."},
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"target_model": {"type": "string", "description": "Model used to execute tasks (the target)."},
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"out_root": {"type": "string", "description": "Output directory root for run artifacts."},
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"out_root": {"type": "string", "description": "Output directory root for run artifacts."},
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