Files
OmniRoute/src/lib/providerModels/ollamaCapabilities.ts
Praveen K Palaniswamy 6d4c4843e9 fix(ollama): route models by advertised capability (#11087) — port of #11088 to the release line (#11271)
Validated on the combined 8-PR board: ollama-local-capabilities-routing 3/3, managed-model-import 9/9 (including the integration with the carried Gemini-3.5-Flash cleanup from #11259), 88/88 across the board's focused suites, typecheck:core + dashboard-typecheck clean, gates within baseline. This brings #11088 to the release line — it had squash-merged to main by base error (mine) — AND fixes the two defects the port caught: the global filter drop that leaked image/video models into OpenAI chat selections (now scoped to self-hosted providers) and the unregistered hard-lease credential site. Exemplary port discipline: byte-identical carry + the corrections in a separate reviewable commit + the superpowers docs deliberately left out. main still needs the same two-line fix. Thank you @yourspraveen!
2026-08-23 18:11:21 -03:00

99 lines
3.0 KiB
TypeScript

import { z } from "zod";
type JsonRecord = Record<string, unknown>;
const ollamaShowResponseSchema = z
.object({
capabilities: z.array(z.string().max(64)).max(32).optional(),
})
.passthrough();
const OLLAMA_CAPABILITY_TO_ENDPOINT: Readonly<Record<string, string>> = {
completion: "chat",
embedding: "embeddings",
image: "images",
};
const MAX_CONCURRENT_SHOW_REQUESTS = 4;
function asRecord(value: unknown): JsonRecord {
return value && typeof value === "object" && !Array.isArray(value) ? (value as JsonRecord) : {};
}
export function buildOllamaShowUrl(openAiBaseUrl: string): string {
let base = openAiBaseUrl.trim();
while (base.endsWith("/")) base = base.slice(0, -1);
base = base.replace(/\/(?:chat\/completions|completions|embeddings|images\/generations)$/i, "");
if (base.endsWith("/v1")) base = base.slice(0, -3);
return `${base}/api/show`;
}
export function applyOllamaShowCapabilities(model: unknown, showResponse: unknown): JsonRecord {
const record = asRecord(model);
const parsed = ollamaShowResponseSchema.safeParse(showResponse);
if (!parsed.success || !parsed.data.capabilities) return record;
const capabilities = Array.from(
new Set(parsed.data.capabilities.map((value) => value.trim().toLowerCase()).filter(Boolean))
);
const supportedEndpoints = Array.from(
new Set(
capabilities
.map((capability) => OLLAMA_CAPABILITY_TO_ENDPOINT[capability])
.filter((endpoint): endpoint is string => Boolean(endpoint))
)
);
if (supportedEndpoints.length === 0) return record;
const apiFormat = supportedEndpoints.includes("chat")
? "chat-completions"
: supportedEndpoints.includes("embeddings")
? "embeddings"
: "images-generations";
return {
...record,
apiFormat,
supportedEndpoints,
...(capabilities.includes("vision") ? { supportsVision: true } : {}),
...(capabilities.includes("tools") ? { supportsTools: true } : {}),
...(capabilities.includes("thinking") ? { supportsThinking: true } : {}),
};
}
export async function enrichOllamaModelsWithCapabilities(
models: unknown[],
fetchShow: (modelId: string) => Promise<unknown | null>
): Promise<JsonRecord[]> {
const output: JsonRecord[] = new Array(models.length);
let nextIndex = 0;
const worker = async () => {
while (nextIndex < models.length) {
const index = nextIndex++;
const model = asRecord(models[index]);
const modelId =
typeof model.id === "string"
? model.id
: typeof model.name === "string"
? model.name
: typeof model.model === "string"
? model.model
: null;
if (!modelId) {
output[index] = model;
continue;
}
try {
output[index] = applyOllamaShowCapabilities(model, await fetchShow(modelId));
} catch {
output[index] = model;
}
}
};
const workerCount = Math.min(MAX_CONCURRENT_SHOW_REQUESTS, Math.max(1, models.length));
await Promise.all(Array.from({ length: workerCount }, () => worker()));
return output;
}