feat(ui): add NanoGPT to the Add Model provider dropdown

This commit is contained in:
Devin AI 2026-07-24 20:17:30 +00:00
parent 35dc982692
commit c87890bfa4
4 changed files with 71 additions and 0 deletions

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@ -1922,6 +1922,34 @@
],
"default_model_placeholder": "gpt-3.5-turbo"
},
{
"provider": "NANO_GPT",
"provider_display_name": "NanoGPT",
"litellm_provider": "nano-gpt",
"credential_fields": [
{
"key": "api_base",
"label": "API Base",
"placeholder": null,
"tooltip": null,
"required": false,
"field_type": "text",
"options": null,
"default_value": null
},
{
"key": "api_key",
"label": "API Key",
"placeholder": null,
"tooltip": null,
"required": false,
"field_type": "password",
"options": null,
"default_value": null
}
],
"default_model_placeholder": "nano-gpt/gpt-4o"
},
{
"provider": "NEBIUS",
"provider_display_name": "Nebius",

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@ -243,6 +243,36 @@ def test_bedrock_mantle_provider_fields():
assert fields_by_key["api_base"]["field_type"] == "text"
def test_nano_gpt_provider_fields():
"""NanoGPT must be a selectable provider in the Add Model flow.
The dropdown is driven entirely by /public/providers/fields, so a missing
entry means NanoGPT cannot be added through the UI at all even though the
backend already supports the `nano-gpt/` route (regression guard for
https://github.com/BerriAI/litellm/issues/34499). `provider` must equal the
UI provider_map key so the model dropdown resolves nano-gpt models, and
`litellm_provider` must be the backend slug.
"""
app_instance = FastAPI()
app_instance.include_router(router)
test_client = TestClient(app_instance)
response = test_client.get("/public/providers/fields")
assert response.status_code == 200
providers = response.json()
nano_gpt = next((p for p in providers if p["provider"] == "NANO_GPT"), None)
assert nano_gpt is not None, "NanoGPT provider entry not found"
assert nano_gpt["provider_display_name"] == "NanoGPT"
assert nano_gpt["litellm_provider"] == "nano-gpt"
assert nano_gpt["default_model_placeholder"].startswith("nano-gpt/")
fields_by_key = {f["key"]: f for f in nano_gpt["credential_fields"]}
assert "api_key" in fields_by_key
assert fields_by_key["api_key"]["field_type"] == "password"
def test_google_ai_studio_provider_fields_expose_api_base():
"""The Google AI Studio (gemini) credential form must let admins set a custom
api_base so they can point at a Gemini-compatible gateway (e.g. a self-hosted

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@ -94,6 +94,16 @@ describe("provider_info_helpers", () => {
expect(result.displayName).toBe(Providers.ZAI);
});
it("should resolve the nano-gpt provider value to the NanoGPT display name", () => {
// Regression test for https://github.com/BerriAI/litellm/issues/34499 —
// the backend already supports the `nano-gpt/` route and the docs have a
// dedicated page, but the UI dropdown was missing an entry, so
// `getProviderLogoAndName("nano-gpt")` previously returned the raw slug
// as the display name (no mapping).
const result = getProviderLogoAndName("nano-gpt");
expect(result.displayName).toBe(Providers.NANO_GPT);
});
it("should return provider value as display name when no mapping exists", () => {
const unknownProvider = "unknown_provider";
const result = getProviderLogoAndName(unknownProvider);
@ -130,6 +140,7 @@ describe("provider_info_helpers", () => {
Providers.LEMONADE,
Providers.LLAMAFILE,
Providers.MARITALK,
Providers.NANO_GPT,
Providers.NLP_CLOUD,
Providers.NSCALE,
Providers.OVHCLOUD,

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@ -125,6 +125,7 @@ export enum Providers {
MistralAI = "Mistral AI",
MOONSHOT = "Moonshot",
MORPH = "Morph",
NANO_GPT = "NanoGPT",
NEBIUS = "Nebius",
NLP_CLOUD = "Nlp Cloud",
NOVITA = "Novita",
@ -233,6 +234,7 @@ export const provider_map: Record<string, string> = {
MistralAI: "mistral",
MOONSHOT: "moonshot",
MORPH: "morph",
NANO_GPT: "nano-gpt",
NEBIUS: "nebius",
NLP_CLOUD: "nlp_cloud",
NOVITA: "novita",