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feat: support comma-separated AI_MODEL for quick multi-model setup

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Users expected setting AI_MODEL to a comma-separated list to expose
multiple models in the picker, but the value was used verbatim as a
single model id, leaving the picker with only the "Server Default"
fallback.

Add a third-priority fallback in loadEnvServerModelsConfig: when
AI_MODELS_CONFIG and ai-models.json are both absent, AI_MODEL contains
a comma, and AI_PROVIDER is set to a known provider, synthesize an
equivalent ServerModelsConfig with the provider's models trimmed,
deduplicated, and the first marked as default.

Also makes getAIModel and getValidationModel pick the first comma-split
value when falling back to AI_MODEL, so requests started before the
client picker hydrates still resolve to a real model id.

Docs (en/cn/ja) and env.example updated; tests cover the new fallback
plus the no-comma / no-AI_PROVIDER negative cases.
This commit is contained in:
dayuan.jiang
2026-06-15 14:20:03 +09:00
parent 0f9699843f
commit 930699ec35
10 changed files with 140 additions and 12 deletions
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env.example
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@@ -5,6 +5,10 @@
AI_PROVIDER=bedrock
# AI_MODEL: The model ID for your chosen provider (REQUIRED)
# Tip: For a single-provider quick multi-model setup, list comma-separated model IDs.
# The first one becomes the default and the rest appear in the model picker.
# For multiple providers or custom apiKeyEnv/baseUrlEnv, use AI_MODELS_CONFIG / ai-models.json instead.
# Example: AI_MODEL=doubao-seed-1-8-251215,doubao-seed-1-6-flash,doubao-seed-1-6-pro
AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# AWS Bedrock Configuration