llm: 统一源接入层修复(对照 llmsproxy)

- provider: 新增 OpenAI-compatible 响应/流兜底解析,Lua adapter 异常时也能解析
  choices/message/tool_calls/usage(含 function.arguments 缺失、对象/字符串参数)
- 过滤无效 LLM 源(<nil>/空/缺 http(s) scheme),main 与 ReloadFromConfig 均跳过,
  避免 mocktest 等坏源污染 fallback 与 healthcheck
- adapter(openai/deepseek/groq/mistral/github/kimicode): 修 tool_calls 对
  nil function 的崩溃,兼容扁平/嵌套结构;openai 流透传 reasoning/tool_calls
- config: ToConfig 探活端点过滤无效 base_url,修复 supervisor 误报 LLM unreachable
This commit is contained in:
root
2026-08-09 20:39:54 +08:00
parent a62f5ba0fa
commit 171e6f233b
10 changed files with 472 additions and 85 deletions

View File

@ -110,18 +110,21 @@ func (l *llmImpl) ReloadFromConfig() error {
}
l.mgr.Reset()
for _, src := range cfg.LLM.Sources {
if !agentAPI.IsValidSourceConfig(src.Name, src.BaseURL, src.Model, src.Adapter) {
continue
}
key := src.APIKey
if key == "" {
key = l.baseAPIKey
}
provider := agentAPI.NewLuaAdaptedProvider(agentAPI.BaseConfig{
Model: src.Model,
BaseURL: src.BaseURL,
APIKey: key,
Temperature: cfg.LLM.Temperature,
MaxTokens: cfg.LLM.MaxTokens,
ContextWindow: src.ContextWindow,
}, l.lua, src.Name, src.Adapter)
provider := agentAPI.NewLuaAdaptedProvider(agentAPI.BaseConfig{
Model: src.Model,
BaseURL: src.BaseURL,
APIKey: key,
Temperature: cfg.LLM.Temperature,
MaxTokens: cfg.LLM.MaxTokens,
ContextWindow: src.ContextWindow,
}, l.lua, src.Name, src.Adapter)
l.mgr.Register(src.Name, provider)
}
if cfg.LLM.Provider != "" {