diff --git a/README.md b/README.md index 31a93bf8c67..54d002bb3ab 100644 --- a/README.md +++ b/README.md @@ -404,6 +404,7 @@ Set `LITELLM_PROXY_API_BASE` and `LITELLM_PROXY_API_KEY` and every model call th | [Fal AI (`fal_ai`)](https://docs.litellm.ai/docs/providers/fal_ai) | ✅ | ✅ | ✅ | | ✅ | | | | | | | [Featherless AI (`featherless_ai`)](https://docs.litellm.ai/docs/providers/featherless_ai) | ✅ | ✅ | ✅ | | | | | | | | | [Fireworks AI (`fireworks_ai`)](https://docs.litellm.ai/docs/providers/fireworks_ai) | ✅ | ✅ | ✅ | | | | | | | | +| [Flonno (`flonno`)](https://docs.litellm.ai/docs/providers/flonno) | ✅ | ✅ | | | | | | | | | | [FriendliAI (`friendliai`)](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ | | | | | | | | | [Galadriel (`galadriel`)](https://docs.litellm.ai/docs/providers/galadriel) | ✅ | ✅ | ✅ | | | | | | | | | [GitHub Copilot (`github_copilot`)](https://docs.litellm.ai/docs/providers/github_copilot) | ✅ | ✅ | ✅ | ✅ | | | | | | | diff --git a/litellm-rust/crates/core-utils/src/exception_mapping_utils/original.rs b/litellm-rust/crates/core-utils/src/exception_mapping_utils/original.rs index 615d530af19..1c51492390b 100644 --- a/litellm-rust/crates/core-utils/src/exception_mapping_utils/original.rs +++ b/litellm-rust/crates/core-utils/src/exception_mapping_utils/original.rs @@ -87,6 +87,7 @@ const OPENAI_COMPATIBLE_PROVIDERS: &[&str] = &[ "parasail", "libertai", "featherless_ai", + "flonno", "nscale", "nebius", "dashscope", diff --git a/litellm/__init__.py b/litellm/__init__.py index 8e5dd68a186..a61036b8001 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -690,6 +690,7 @@ kyma_models: Final[set[str]] = set() # mutable-ok: populated when the shared mo streamlake_models: Final[Set[str]] = set() wally_models: Final[Set[str]] = set() zerogpu_models: Final[Set[str]] = set() +flonno_models: Final[Set[str]] = set() v0_models: Set = set() morph_models: Set = set() opencode_go_models: Final[set[str]] = set() # mutable-ok: populated when the shared model catalog loads @@ -989,6 +990,8 @@ def _populate_provider_model_sets(model_cost_map: Mapping[str, Mapping[str, obje wally_models.add(key) elif value.get("litellm_provider") == "zerogpu": zerogpu_models.add(key) + elif value.get("litellm_provider") == "flonno": + flonno_models.add(key) elif value.get("litellm_provider") == "v0": v0_models.add(key) elif value.get("litellm_provider") == "morph": @@ -1170,6 +1173,7 @@ model_list = list( | streamlake_models | wally_models | zerogpu_models + | flonno_models | v0_models | morph_models | opencode_go_models @@ -1304,6 +1308,7 @@ def _build_models_by_provider() -> dict: "streamlake": streamlake_models, "wally": wally_models, "zerogpu": zerogpu_models, + "flonno": flonno_models, "v0": v0_models, "morph": morph_models, "opencode_go": opencode_go_models, diff --git a/litellm/constants.py b/litellm/constants.py index 8d05115e76e..05bde9c7e9c 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -1096,6 +1096,7 @@ openai_compatible_endpoints: Final[list[str]] = [ "https://inference.runanywhere.ai/v1", "https://gigachat.devices.sberbank.ru/api/v1", "https://api.openinfer.ai/v1", + "https://www.flonno.com/v1", "https://vanchin.streamlake.ai/api/gateway/v1/endpoints", ] @@ -1146,6 +1147,7 @@ openai_compatible_providers: Final[list[str]] = [ "parasail", # Parasail - JSON-configured provider "libertai", # LibertAI - JSON-configured provider "featherless_ai", + "flonno", "nscale", "nebius", "dashscope", diff --git a/litellm/llms/openai_like/providers.json b/litellm/llms/openai_like/providers.json index f937e4d2f75..cd495f88f43 100644 --- a/litellm/llms/openai_like/providers.json +++ b/litellm/llms/openai_like/providers.json @@ -265,6 +265,20 @@ }, "supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/messages"] }, + "flonno": { + "base_url": "https://www.flonno.com/v1", + "api_key_env": "FLONNO_API_KEY", + "api_base_env": "FLONNO_API_BASE", + "provider_info": { + "supports_function_calling": true, + "supports_vision": true, + "supports_reasoning": true + }, + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/messages" + ] + }, "inferenceapis": { "base_url": "https://api.inferenceapis.com/v1", "api_key_env": "INFERENCEAPIS_API_KEY", diff --git a/litellm/main.py b/litellm/main.py index 8cb133bf76b..af3a8649169 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -2792,6 +2792,10 @@ def _complete_custom_openai( raise litellm.AuthenticationError( message="Set BIGMODEL_API_KEY or pass api_key", llm_provider="bigmodel", model=model ) + if custom_llm_provider == "flonno" and not api_key: + raise litellm.AuthenticationError( + message="Set FLONNO_API_KEY or pass api_key", llm_provider="flonno", model=model + ) organization = ( organization or (None if custom_llm_provider == "bigmodel" else litellm.organization or get_secret("OPENAI_ORGANIZATION")) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 3bb6eb725b3..9594fa17134 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -29129,6 +29129,22 @@ "output_cost_per_token": 0.0, "source": "https://fireworks.ai/pricing" }, + "flonno/qwen3.8-27b": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 3e-08, + "litellm_provider": "flonno", + "max_input_tokens": 131072, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 2.5e-07, + "source": "https://www.flonno.com/pricing.json", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true + }, "friendliai/zai-org/GLM-5.3-Flash": { "litellm_provider": "friendliai", "max_input_tokens": 1048576, diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index 00fee0a0d5a..fadd813909d 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -1686,6 +1686,32 @@ "generateContent": true } }, + "flonno": { + "display_name": "Flonno (`flonno`)", + "url": "https://docs.litellm.ai/docs/providers/flonno", + "endpoints": { + "chat_completions": true, + "responses": false, + "text_completion": true, + "embeddings": false, + "image_generations": false, + "image_edits": false, + "audio_transcriptions": false, + "audio_speech": false, + "rerank": false, + "ocr": false, + "search": false, + "moderations": false, + "realtime": false, + "video_generations": false, + "batches": false, + "messages": true, + "interactions": true, + "systemone": false, + "a2a": true, + "generateContent": true + } + }, "firecrawl": { "display_name": "Firecrawl (`firecrawl`)", "url": "https://docs.litellm.ai/docs/search/firecrawl", diff --git a/litellm/proxy/public_endpoints/provider_create_fields.json b/litellm/proxy/public_endpoints/provider_create_fields.json index 5ded2fa5f5e..3764fd99be1 100644 --- a/litellm/proxy/public_endpoints/provider_create_fields.json +++ b/litellm/proxy/public_endpoints/provider_create_fields.json @@ -1701,6 +1701,34 @@ ], "default_model_placeholder": "gpt-3.5-turbo" }, + { + "provider": "Flonno", + "provider_display_name": "Flonno", + "litellm_provider": "flonno", + "credential_fields": [ + { + "key": "api_base", + "label": "API Base", + "placeholder": "https://www.flonno.com/v1", + "tooltip": null, + "required": false, + "field_type": "text", + "options": null, + "default_value": null + }, + { + "key": "api_key", + "label": "API Key", + "placeholder": null, + "tooltip": null, + "required": true, + "field_type": "password", + "options": null, + "default_value": null + } + ], + "default_model_placeholder": "flonno/qwen3.8-27b" + }, { "provider": "FRIENDLIAI", "provider_display_name": "Friendliai", diff --git a/litellm/types/utils.py b/litellm/types/utils.py index ca434154f68..5ca3e6e3afe 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -4692,6 +4692,7 @@ class LlmProviders(str, Enum): FIREWORKS_AI = "fireworks_ai" FRIENDLIAI = "friendliai" FEATHERLESS_AI = "featherless_ai" + FLONNO = "flonno" WATSONX = "watsonx" SCALEDOWN = "scaledown" WATSONX_TEXT = "watsonx_text" diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 3bb6eb725b3..9594fa17134 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -29129,6 +29129,22 @@ "output_cost_per_token": 0.0, "source": "https://fireworks.ai/pricing" }, + "flonno/qwen3.8-27b": { + "cache_read_input_token_cost": 3e-08, + "input_cost_per_token": 3e-08, + "litellm_provider": "flonno", + "max_input_tokens": 131072, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "output_cost_per_token": 2.5e-07, + "source": "https://www.flonno.com/pricing.json", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_tool_choice": true, + "supports_vision": true + }, "friendliai/zai-org/GLM-5.3-Flash": { "litellm_provider": "friendliai", "max_input_tokens": 1048576, diff --git a/provider_endpoints_support.json b/provider_endpoints_support.json index 00fee0a0d5a..fadd813909d 100644 --- a/provider_endpoints_support.json +++ b/provider_endpoints_support.json @@ -1686,6 +1686,32 @@ "generateContent": true } }, + "flonno": { + "display_name": "Flonno (`flonno`)", + "url": "https://docs.litellm.ai/docs/providers/flonno", + "endpoints": { + "chat_completions": true, + "responses": false, + "text_completion": true, + "embeddings": false, + "image_generations": false, + "image_edits": false, + "audio_transcriptions": false, + "audio_speech": false, + "rerank": false, + "ocr": false, + "search": false, + "moderations": false, + "realtime": false, + "video_generations": false, + "batches": false, + "messages": true, + "interactions": true, + "systemone": false, + "a2a": true, + "generateContent": true + } + }, "firecrawl": { "display_name": "Firecrawl (`firecrawl`)", "url": "https://docs.litellm.ai/docs/search/firecrawl", diff --git a/tests/unit/llms/openai_like/test_flonno_provider.py b/tests/unit/llms/openai_like/test_flonno_provider.py new file mode 100644 index 00000000000..b685d09edde --- /dev/null +++ b/tests/unit/llms/openai_like/test_flonno_provider.py @@ -0,0 +1,238 @@ +import json +from collections.abc import Mapping +from pathlib import Path +from typing import Final + +import httpx +import pytest +import respx +from openai import OpenAI + +import litellm +from litellm.caching.llm_caching_handler import LLMClientCache +from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider +from litellm.llms.openai_like.json_loader import JSONProviderRegistry +from litellm.proxy.auth.model_checks import get_provider_models +from litellm.types.utils import LlmProviders + +FLONNO_API_BASE: Final = "https://www.flonno.com/v1" +FLONNO_MODEL: Final = "qwen3.8-27b" +FLONNO_PREFIXED: Final = f"flonno/{FLONNO_MODEL}" + +_REPO_ROOT: Final = Path(__file__).resolve().parents[4] +_PRIMARY_PRICES: Final = json.loads((_REPO_ROOT / "model_prices_and_context_window.json").read_text()) +_BACKUP_PRICES: Final = json.loads((_REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json").read_text()) + + +class _RecordingFlonno: + def __init__(self, usage: Mapping[str, object]) -> None: + self.usage: Final = usage + self.requests: tuple[httpx.Request, ...] = () + + def respond(self, request: httpx.Request) -> httpx.Response: + self.requests = (*self.requests, request) + return httpx.Response( + 200, + json={ + "id": "chatcmpl-flonno", + "object": "chat.completion", + "created": 1234567890, + "model": json.loads(request.content)["model"], + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "hi"}, + "finish_reason": "stop", + } + ], + "usage": dict(self.usage), + }, + ) + + def client(self) -> OpenAI: + return OpenAI( + api_key="flonno-test-key", + base_url=FLONNO_API_BASE, + http_client=httpx.Client(transport=httpx.MockTransport(self.respond)), + ) + + +def test_flonno_in_provider_list_and_json_registry(): + assert LlmProviders.FLONNO.value == "flonno" + assert "flonno" in litellm.provider_list + assert JSONProviderRegistry.exists("flonno") + provider = JSONProviderRegistry.get("flonno") + assert provider is not None + assert provider.base_url == FLONNO_API_BASE + assert provider.api_key_env == "FLONNO_API_KEY" + assert "/v1/chat/completions" in provider.supported_endpoints + assert "/v1/messages" in provider.supported_endpoints + assert "/v1/responses" not in provider.supported_endpoints + + +def test_flonno_in_openai_compatible_providers(): + from litellm.constants import openai_compatible_providers + + assert "flonno" in openai_compatible_providers + + +def test_prefixed_model_reaches_flonno_chat_completions_without_the_prefix(): + flonno: Final = _RecordingFlonno({"prompt_tokens": 3, "completion_tokens": 1, "total_tokens": 4}) + + with flonno.client() as client: + litellm.completion( + model=FLONNO_PREFIXED, + messages=[{"role": "user", "content": "hello"}], + api_key="flonno-test-key", + client=client, + ) + + assert len(flonno.requests) == 1 + assert str(flonno.requests[0].url) == f"{FLONNO_API_BASE}/chat/completions" + assert json.loads(flonno.requests[0].content) == { + "model": FLONNO_MODEL, + "messages": [{"role": "user", "content": "hello"}], + } + + +@pytest.mark.asyncio +async def test_anthropic_messages_request_goes_to_flonno_natively( + monkeypatch: pytest.MonkeyPatch, +): + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache()) + with respx.mock() as upstream: + route: Final = upstream.post(f"{FLONNO_API_BASE}/messages").respond( + 200, + json={ + "id": "msg_flonno", + "type": "message", + "role": "assistant", + "model": FLONNO_MODEL, + "content": [{"type": "text", "text": "Hello from Flonno"}], + "stop_reason": "end_turn", + "stop_sequence": None, + "usage": {"input_tokens": 4, "output_tokens": 3}, + }, + ) + response: Final = await litellm.anthropic.messages.acreate( + model=FLONNO_PREFIXED, + messages=[{"role": "user", "content": "Say hello"}], + max_tokens=32, + api_key="sk-test", + ) + + request: Final = route.calls.last.request + body: Final = json.loads(request.content) + assert request.headers["authorization"] == "Bearer sk-test" + assert body["model"] == FLONNO_MODEL + assert body["messages"] == [{"role": "user", "content": "Say hello"}] + assert response["content"][0]["text"] == "Hello from Flonno" + + +def test_flonno_key_and_base_come_from_flonno_env_vars(monkeypatch: pytest.MonkeyPatch): + monkeypatch.setenv("FLONNO_API_KEY", "flonno-env-key") + monkeypatch.delenv("FLONNO_API_BASE", raising=False) + + assert get_llm_provider(model=FLONNO_PREFIXED) == ( + FLONNO_MODEL, + "flonno", + "flonno-env-key", + FLONNO_API_BASE, + ) + + monkeypatch.setenv("FLONNO_API_BASE", "https://flonno.internal.example/v1") + + assert get_llm_provider(model=FLONNO_PREFIXED)[3] == "https://flonno.internal.example/v1" + + +def test_flonno_wildcard_lists_every_flonno_catalog_model(): + catalog_models: Final = sorted( + key for key, row in litellm.model_cost.items() if row.get("litellm_provider") == "flonno" + ) + + assert catalog_models == [FLONNO_PREFIXED] + assert sorted(get_provider_models("flonno") or []) == catalog_models + + +def test_catalog_row_matches_its_backup_and_fits_its_context(): + row: Final = _PRIMARY_PRICES[FLONNO_PREFIXED] + + assert row == _BACKUP_PRICES[FLONNO_PREFIXED] + assert row["mode"] == "chat" + assert row["max_output_tokens"] <= row["max_input_tokens"] + assert row["input_cost_per_token"] == 3e-08 + assert row["output_cost_per_token"] == 2.5e-07 + assert litellm.get_model_info(FLONNO_PREFIXED)["litellm_provider"] == "flonno" + + +def test_flonno_completion_never_borrows_openai_api_key(monkeypatch: pytest.MonkeyPatch): + monkeypatch.delenv("FLONNO_API_KEY", raising=False) + monkeypatch.setenv("OPENAI_API_KEY", "sk-openai-should-not-leak") + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.setattr(litellm, "openai_key", None) + + with respx.mock(assert_all_called=False) as upstream: + route: Final = upstream.post(f"{FLONNO_API_BASE}/chat/completions").respond( + 200, + json={ + "id": "chatcmpl-flonno", + "object": "chat.completion", + "created": 1, + "model": FLONNO_MODEL, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "hi"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2}, + }, + ) + with pytest.raises(litellm.AuthenticationError, match="FLONNO_API_KEY"): + litellm.completion( + model=FLONNO_PREFIXED, + messages=[{"role": "user", "content": "hello"}], + ) + + assert route.call_count == 0 + + +def test_flonno_completion_uses_flonno_api_key_from_env(monkeypatch: pytest.MonkeyPatch): + monkeypatch.setenv("FLONNO_API_KEY", "flonno-env-key") + monkeypatch.setenv("OPENAI_API_KEY", "sk-openai-should-not-be-used") + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.setattr(litellm, "openai_key", None) + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache()) + + with respx.mock() as upstream: + route: Final = upstream.post(f"{FLONNO_API_BASE}/chat/completions").respond( + 200, + json={ + "id": "chatcmpl-flonno", + "object": "chat.completion", + "created": 1, + "model": FLONNO_MODEL, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": "hi"}, + "finish_reason": "stop", + } + ], + "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2}, + }, + ) + response: Final = litellm.completion( + model=FLONNO_PREFIXED, + messages=[{"role": "user", "content": "hello"}], + ) + + request: Final = route.calls.last.request + assert route.call_count == 1 + assert str(request.url) == f"{FLONNO_API_BASE}/chat/completions" + assert request.headers["authorization"] == "Bearer flonno-env-key" + assert "sk-openai-should-not-be-used" not in request.headers.get("authorization", "") + assert response.choices[0].message.content == "hi" diff --git a/tests/unit/proxy/public_endpoints/test_public_endpoints.py b/tests/unit/proxy/public_endpoints/test_public_endpoints.py index dd3ffad4727..13665e6180e 100644 --- a/tests/unit/proxy/public_endpoints/test_public_endpoints.py +++ b/tests/unit/proxy/public_endpoints/test_public_endpoints.py @@ -447,6 +447,26 @@ def test_zerogpu_add_model_form_defaults_resolve_to_a_priced_zerogpu_model(): assert fields_by_key["api_key"]["field_type"] == "password" +def test_flonno_add_model_form_defaults_resolve_to_a_priced_flonno_model(): + import litellm + from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider + + app_instance: Final = FastAPI() + app_instance.include_router(router) + providers: Final = TestClient(app_instance).get("/public/providers/fields").json() + + flonno: Final = next(p for p in providers if p["litellm_provider"] == "flonno") + fields_by_key: Final = {f["key"]: f for f in flonno["credential_fields"]} + placeholder: Final = flonno["default_model_placeholder"] + _, provider, _, api_base = get_llm_provider(model=placeholder) + + assert provider == "flonno" + assert api_base == fields_by_key["api_base"]["placeholder"] + assert litellm.model_cost[placeholder]["litellm_provider"] == "flonno" + assert fields_by_key["api_key"]["required"] is True + assert fields_by_key["api_key"]["field_type"] == "password" + + def test_qwen_mainland_provider_fields_carry_the_qianwen_brand(): app_instance = FastAPI() app_instance.include_router(router) diff --git a/ui/litellm-dashboard/public/assets/logos/flonno.png b/ui/litellm-dashboard/public/assets/logos/flonno.png new file mode 100644 index 00000000000..c3eda9fcbd1 Binary files /dev/null and b/ui/litellm-dashboard/public/assets/logos/flonno.png differ diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx index 604d5923caa..ab18cb64951 100644 --- a/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx +++ b/ui/litellm-dashboard/src/components/provider_info_helpers.test.tsx @@ -410,6 +410,10 @@ describe("provider_info_helpers", () => { expect(getPlaceholder("ZeroGPU")).toBe("zerogpu/gpt-oss-120b"); }); + it("should return flonno/qwen3.8-27b placeholder for Flonno provider", () => { + expect(getPlaceholder("Flonno")).toBe("flonno/qwen3.8-27b"); + }); + it("should return a chatgpt/ placeholder for the CHATGPT dropdown key", () => { expect(getPlaceholder("CHATGPT")).toBe("chatgpt/gpt-5.4"); }); diff --git a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx index 167343fc05e..5fa26cdc078 100644 --- a/ui/litellm-dashboard/src/components/provider_info_helpers.tsx +++ b/ui/litellm-dashboard/src/components/provider_info_helpers.tsx @@ -31,6 +31,7 @@ import groqLogo from "../../public/assets/logos/groq.svg"; import huggingfaceLogo from "../../public/assets/logos/huggingface.svg"; import hyperbolicLogo from "../../public/assets/logos/hyperbolic.svg"; import hostingerLogo from "../../public/assets/logos/hostinger.png"; +import flonnoLogo from "../../public/assets/logos/flonno.png"; import infinityLogo from "../../public/assets/logos/infinity.png"; import jinaLogo from "../../public/assets/logos/jina.png"; import lambdaLogo from "../../public/assets/logos/lambda.svg"; @@ -123,6 +124,7 @@ export enum Providers { FalAI = "Fal AI", FEATHERLESS_AI = "Featherless Ai", FireworksAI = "Fireworks AI", + Flonno = "Flonno", FRIENDLIAI = "Friendliai", GALADRIEL = "Galadriel", GIGACHAT = "GigaChat", @@ -258,6 +260,7 @@ export const provider_map: Record = { FalAI: "fal_ai", FEATHERLESS_AI: "featherless_ai", FireworksAI: "fireworks_ai", + Flonno: "flonno", FRIENDLIAI: "friendliai", GALADRIEL: "galadriel", GIGACHAT: "gigachat", @@ -389,6 +392,7 @@ export const providerLogoMap: Partial> = { [Providers.FalAI]: falAiLogo.src, [Providers.FEATHERLESS_AI]: featherlessLogo.src, [Providers.FireworksAI]: fireworksLogo.src, + [Providers.Flonno]: flonnoLogo.src, [Providers.FRIENDLIAI]: friendliLogo.src, [Providers.GIGACHAT]: gigachatLogo.src, [Providers.GITHUB_COPILOT]: githubCopilotLogo.src, @@ -530,6 +534,7 @@ const providerPlaceholderMap: Partial> = { [Providers.ZAI]: "zai/glm-4.5", [Providers.BIGMODEL]: "bigmodel/glm-5.3", [Providers.ZeroGPU]: "zerogpu/gpt-oss-120b", + [Providers.Flonno]: "flonno/qwen3.8-27b", }; export const getPlaceholder = (selectedProvider: string): string => {