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docs(copilot): correct backend hint in research MCP plugin (openai -> azure_openai)

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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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DB Lee
2026-06-12 09:19:29 -07:00
parent 5799695951
commit 2c0980bda3
1 changed files with 1 additions and 1 deletions
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plugins/copilot/skillopt/mcp_server.py
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@@ -122,7 +122,7 @@ _COMMON_PROPS = {
"config": {"type": "string",
"description": "Path to a benchmark YAML config (e.g. configs/searchqa/default.yaml). See skillopt_list_configs."},
"env": {"type": "string", "description": "Override the environment/adapter name (e.g. searchqa, alfworld)."},
"backend": {"type": "string", "description": "Model backend (e.g. openai, claude, codex, qwen)."},
"backend": {"type": "string", "description": "Model backend (e.g. azure_openai, claude, codex, qwen, minimax)."},
"optimizer_model": {"type": "string", "description": "Model used for reflection/skill rewriting (the optimizer)."},
"target_model": {"type": "string", "description": "Model used to execute tasks (the target)."},
"out_root": {"type": "string", "description": "Output directory root for run artifacts."},