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chore: migrate to oxlint and oxfmt

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Co-authored-by: Christoph Nakazawa <christoph.pojer@gmail.com>
This commit is contained in:
Peter Steinberger
2026-01-14 14:31:43 +00:00
parent 912ebffc63
commit c379191f80
1480 changed files with 28608 additions and 43547 deletions
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25
src/memory/embeddings.ts
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@@ -34,8 +34,7 @@ export type EmbeddingProviderOptions = {
};
const DEFAULT_OPENAI_BASE_URL = "https://api.openai.com/v1";
const DEFAULT_LOCAL_MODEL =
"hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf";
const DEFAULT_LOCAL_MODEL = "hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8_0.gguf";
function normalizeOpenAiModel(model: string): string {
const trimmed = model.trim();
@@ -60,14 +59,9 @@ async function createOpenAiEmbeddingProvider(
});
const providerConfig = options.config.models?.providers?.openai;
const baseUrl =
remoteBaseUrl || providerConfig?.baseUrl?.trim() || DEFAULT_OPENAI_BASE_URL;
const baseUrl = remoteBaseUrl || providerConfig?.baseUrl?.trim() || DEFAULT_OPENAI_BASE_URL;
const url = `${baseUrl.replace(/\/$/, "")}/embeddings`;
const headerOverrides = Object.assign(
{},
providerConfig?.headers,
remote?.headers,
);
const headerOverrides = Object.assign({}, providerConfig?.headers, remote?.headers);
const headers: Record<string, string> = {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
@@ -111,9 +105,7 @@ async function createLocalEmbeddingProvider(
const modelCacheDir = options.local?.modelCacheDir?.trim();
// Lazy-load node-llama-cpp to keep startup light unless local is enabled.
const { getLlama, resolveModelFile, LlamaLogLevel } = await import(
"node-llama-cpp"
);
const { getLlama, resolveModelFile, LlamaLogLevel } = await import("node-llama-cpp");
let llama: Llama | null = null;
let embeddingModel: LlamaModel | null = null;
@@ -124,10 +116,7 @@ async function createLocalEmbeddingProvider(
llama = await getLlama({ logLevel: LlamaLogLevel.error });
}
if (!embeddingModel) {
const resolved = await resolveModelFile(
modelPath,
modelCacheDir || undefined,
);
const resolved = await resolveModelFile(modelPath, modelCacheDir || undefined);
embeddingModel = await llama.loadModel({ modelPath: resolved });
}
if (!embeddingContext) {
@@ -177,9 +166,7 @@ export async function createEmbeddingProvider(
fallbackReason: reason,
};
} catch (fallbackErr) {
throw new Error(
`${reason}\n\nFallback to OpenAI failed: ${formatError(fallbackErr)}`,
);
throw new Error(`${reason}\n\nFallback to OpenAI failed: ${formatError(fallbackErr)}`);
}
}
throw new Error(reason);