feat(refuseless): add provider and model pricing (#48497)

* feat(refuseless): add provider and model pricing

* feat(refuseless): expose provider in Add Model catalog

* test(refuseless): verify model input trimming after upstream fix

* fix(refuseless): exclude unavailable free model from catalogs

litellm/llms/openai_like/providers.json

@@ -249,5 +249,13 @@
       "/v1/responses",
       "/v1/messages"
     ]
+  },
+  "refuseless": {
+    "base_url": "https://api.refuseless.com/v1",
+    "api_key_env": "REFUSELESS_API_KEY",
+    "supported_endpoints": [
+      "/v1/chat/completions",
+      "/v1/responses"
+    ]
   }
 }

litellm/model_prices_and_context_window_backup.json

@@ -75900,5 +75900,110 @@
         "supports_reasoning": true,
         "supports_response_schema": true,
         "supports_vision": true
+    },
+    "refuseless/glm-5.3-abliterated": {
+        "cache_read_input_token_cost": 2.5e-07,
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 131072,
+        "mode": "chat",
+        "output_cost_per_token": 2.25e-06,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/glm-5.3-flash-abliterated": {
+        "cache_read_input_token_cost": 1.5e-07,
+        "input_cost_per_token": 2.5e-07,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 131072,
+        "mode": "chat",
+        "output_cost_per_token": 8e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/deepseek-v4.1-flash-abliterated": {
+        "cache_read_input_token_cost": 4.5e-08,
+        "input_cost_per_token": 2.2e-07,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 130000,
+        "mode": "chat",
+        "output_cost_per_token": 7.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/deepseek-v4.1-flash-fast": {
+        "cache_read_input_token_cost": 3e-09,
+        "input_cost_per_token": 5e-08,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/minimax-m3.1-flash": {
+        "cache_read_input_token_cost": 2e-09,
+        "input_cost_per_token": 5e-08,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 512000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
     }
 }

litellm/provider_endpoints_support_backup.json

@@ -32,6 +32,23 @@
     }
   },
   "providers": {
+    "refuseless": {
+      "display_name": "Refuseless (`refuseless`)",
+      "url": "https://docs.litellm.ai/docs/providers/refuseless",
+      "endpoints": {
+        "chat_completions": true,
+        "messages": false,
+        "responses": true,
+        "embeddings": false,
+        "image_generations": false,
+        "audio_transcriptions": false,
+        "audio_speech": false,
+        "moderations": false,
+        "batches": false,
+        "rerank": false,
+        "a2a": false
+      }
+    },
     "a2a": {
       "display_name": "A2A (Agent-to-Agent) (`a2a`)",
       "url": "https://docs.litellm.ai/docs/providers/a2a",

litellm/proxy/public_endpoints/provider_create_fields.json

@@ -3231,6 +3231,34 @@
     ],
     "default_model_placeholder": "gpt-3.5-turbo"
   },
+  {
+    "provider": "REFUSELESS",
+    "provider_display_name": "Refuseless",
+    "litellm_provider": "refuseless",
+    "credential_fields": [
+      {
+        "key": "api_key",
+        "label": "API Key",
+        "placeholder": null,
+        "tooltip": null,
+        "required": true,
+        "field_type": "password",
+        "options": null,
+        "default_value": null
+      },
+      {
+        "key": "api_base",
+        "label": "API Base",
+        "placeholder": "https://api.refuseless.com/v1",
+        "tooltip": "Optional. Leave blank to use the provider's default endpoint.",
+        "required": false,
+        "field_type": "text",
+        "options": null,
+        "default_value": null
+      }
+    ],
+    "default_model_placeholder": "refuseless/glm-5.3-abliterated"
+  },
   {
     "provider": "REPLICATE",
     "provider_display_name": "Replicate",

litellm/types/utils.py

@@ -4415,6 +4415,7 @@ GenericBudgetConfigType = dict[str, BudgetConfig]
 
 
 class LlmProviders(str, Enum):
+    REFUSELESS = "refuseless"
     OPENAI = "openai"
     CHATGPT = "chatgpt"
     OPENAI_LIKE = "openai_like"  # embedding only

model_prices_and_context_window.json

@@ -75900,5 +75900,110 @@
         "supports_reasoning": true,
         "supports_response_schema": true,
         "supports_vision": true
+    },
+    "refuseless/glm-5.3-abliterated": {
+        "cache_read_input_token_cost": 2.5e-07,
+        "input_cost_per_token": 1.25e-06,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 131072,
+        "mode": "chat",
+        "output_cost_per_token": 2.25e-06,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/glm-5.3-flash-abliterated": {
+        "cache_read_input_token_cost": 1.5e-07,
+        "input_cost_per_token": 2.5e-07,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 131072,
+        "mode": "chat",
+        "output_cost_per_token": 8e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/deepseek-v4.1-flash-abliterated": {
+        "cache_read_input_token_cost": 4.5e-08,
+        "input_cost_per_token": 2.2e-07,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 130000,
+        "mode": "chat",
+        "output_cost_per_token": 7.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/deepseek-v4.1-flash-fast": {
+        "cache_read_input_token_cost": 3e-09,
+        "input_cost_per_token": 5e-08,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 262144,
+        "mode": "chat",
+        "output_cost_per_token": 1.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
+    },
+    "refuseless/minimax-m3.1-flash": {
+        "cache_read_input_token_cost": 2e-09,
+        "input_cost_per_token": 5e-08,
+        "litellm_provider": "refuseless",
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 512000,
+        "mode": "chat",
+        "output_cost_per_token": 2.5e-07,
+        "source": "https://refuseless.com/pricing",
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_tool_choice": true,
+        "supports_vision": false,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ]
     }
 }

provider_endpoints_support.json

@@ -33,6 +33,23 @@
     }
   },
   "providers": {
+    "refuseless": {
+      "display_name": "Refuseless (`refuseless`)",
+      "url": "https://docs.litellm.ai/docs/providers/refuseless",
+      "endpoints": {
+        "chat_completions": true,
+        "messages": false,
+        "responses": true,
+        "embeddings": false,
+        "image_generations": false,
+        "audio_transcriptions": false,
+        "audio_speech": false,
+        "moderations": false,
+        "batches": false,
+        "rerank": false,
+        "a2a": false
+      }
+    },
     "a2a": {
       "display_name": "A2A (Agent-to-Agent) (`a2a`)",
       "url": "https://docs.litellm.ai/docs/providers/a2a",

tests/unit/llms/openai_like/test_refuseless_provider.py

@@ -0,0 +1,111 @@
+import json
+from typing import Final
+
+import pytest
+import respx
+
+import litellm
+from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
+from litellm.utils import trim_messages
+
+
+def test_refuseless_resolves_environment_and_explicit_credentials(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setenv("REFUSELESS_API_KEY", "fake-environment-key")
+    assert get_llm_provider(model="refuseless/glm-5.3-abliterated") == (
+        "glm-5.3-abliterated",
+        "refuseless",
+        "fake-environment-key",
+        "https://api.refuseless.com/v1",
+    )
+    assert get_llm_provider(
+        model="refuseless/glm-5.3-abliterated", api_key="fake-explicit-key", api_base="https://gateway.example/v1"
+    ) == ("glm-5.3-abliterated", "refuseless", "fake-explicit-key", "https://gateway.example/v1")
+
+
+def test_refuseless_chat_forwards_reasoning_and_accounts_for_cache(local_model_cost_map: None) -> None:
+    with respx.mock() as upstream:
+        route: Final = upstream.post("https://api.refuseless.com/v1/chat/completions").respond(
+            200,
+            json={
+                "id": "chatcmpl-test",
+                "object": "chat.completion",
+                "created": 1,
+                "model": "glm-5.3-abliterated",
+                "choices": [
+                    {"index": 0, "message": {"role": "assistant", "content": "hello"}, "finish_reason": "stop"}
+                ],
+                "usage": {
+                    "prompt_tokens": 100,
+                    "completion_tokens": 5,
+                    "total_tokens": 105,
+                    "prompt_tokens_details": {"cached_tokens": 80},
+                },
+            },
+        )
+        response: Final = litellm.completion(
+            model="refuseless/glm-5.3-abliterated",
+            api_key="fake-test-key",
+            messages=[{"role": "user", "content": "Say hello"}],
+            reasoning_effort="low",
+        )
+    request: Final = route.calls.last.request
+    body: Final = json.loads(request.content)
+    assert request.headers["authorization"] == "Bearer fake-test-key"
+    assert body["model"] == "glm-5.3-abliterated"
+    assert body["reasoning_effort"] == "low"
+    assert response.choices[0].message.content == "hello"
+    rates: Final = litellm.model_cost["refuseless/glm-5.3-abliterated"]
+    expected: Final = (
+        20 * rates["input_cost_per_token"]
+        + 80 * rates["cache_read_input_token_cost"]
+        + 5 * rates["output_cost_per_token"]
+    )
+    assert litellm.completion_cost(completion_response=response) == pytest.approx(expected)
+
+
+def test_refuseless_uses_native_responses_endpoint() -> None:
+    with respx.mock() as upstream:
+        route: Final = upstream.post("https://api.refuseless.com/v1/responses").respond(
+            200,
+            json={
+                "id": "resp-test",
+                "object": "response",
+                "created_at": 1,
+                "model": "glm-5.3-abliterated",
+                "status": "completed",
+                "output": [
+                    {
+                        "id": "msg-test",
+                        "type": "message",
+                        "role": "assistant",
+                        "status": "completed",
+                        "content": [{"type": "output_text", "text": "hello", "annotations": []}],
+                    }
+                ],
+                "usage": {"input_tokens": 4, "output_tokens": 3, "total_tokens": 7},
+            },
+        )
+        response: Final = litellm.responses(
+            model="refuseless/glm-5.3-abliterated",
+            api_key="fake-test-key",
+            input="Say hello",
+            store=False,
+        )
+    assert route.calls.last.request.headers["authorization"] == "Bearer fake-test-key"
+    assert json.loads(route.calls.last.request.content)["model"] == "glm-5.3-abliterated"
+    assert response.output[0].content[0].text == "hello"
+
+
+def test_refuseless_models_trim_to_their_input_budget(local_model_cost_map: None) -> None:
+    model_names: Final = tuple(model for model in litellm.model_cost if model.startswith("refuseless/"))
+    assert model_names
+    messages: Final = [{"role": "user", "content": "hello " * 500}]
+    budget: Final = 100
+    for model in model_names:
+        trimmed: Final = trim_messages(
+            messages,
+            model=model,
+            trim_ratio=budget / litellm.model_cost[model]["max_input_tokens"],
+        )
+        assert litellm.token_counter(model=model, messages=messages) > budget
+        assert litellm.token_counter(model=model, messages=trimmed) <= budget