feat(llm): add Cheaper Inference as a named OpenAI-compatible gateway

README.md

@@ -138,6 +138,12 @@ OrcaRouter exposes one endpoint for all frontier and open-weight models, so you
 
 Set `ORCAROUTER_API_KEY` (and optionally `ORCAROUTER_API_BASE`, which defaults to `https://api.orcarouter.ai/v1`) instead of pasting the key into the UI if you prefer environment-based configuration. A key is available at https://www.orcarouter.ai.
 
+#### Using Cheaper Inference as your LLM gateway (optional)
+
+FunClip can also send LLM-assisted clipping through [Cheaper Inference](https://cheaperinference.com), an OpenAI-compatible LLM gateway. One API key gives access to models from several labs. Select any `cheaperinference/` model in the **LLM Model Name** dropdown, paste a Cheaper Inference API key in the **APIKEY** box, and click 'LLM Inference'. FunClip removes the `cheaperinference/` prefix and sends the transcript and prompts to `https://api.cheaperinference.com/v1/chat/completions`. The returned segments work with the existing 'AI Clip' button.
+
+Set `CHEAPER_INFERENCE_API_KEY` (and optionally `CHEAPER_INFERENCE_API_BASE`, which defaults to `https://api.cheaperinference.com/v1`) instead of pasting the key into the UI if you prefer environment-based configuration. A key is available at https://cheaperinference.com/signup.
+
 #### Content-aware clipping with TwelveLabs Pegasus (optional)
 
 Besides the transcript-based LLMs above, FunClip can optionally use [TwelveLabs](https://twelvelabs.io) Pegasus, a video understanding model that reasons over the actual video (visuals + audio) rather than only the ASR transcript. This helps pick highlight segments even when the transcript alone is ambiguous (e.g. action, scene changes, on-screen events). To use it, select the `pegasus1.5` model name, paste your TwelveLabs API key, upload a video, and click 'LLM Inference' — Pegasus returns segments in the same `N. [start-end] text` format, so the existing 'AI Clip' button works unchanged. It needs `pip install twelvelabs`, and a free API key is available at https://twelvelabs.io.

README_zh.md

@@ -163,6 +163,12 @@ OrcaRouter 用单一端点接入所有前沿与开源模型，无需修改 FunCl
 
 也可以不填 UI，而是设置 `ORCAROUTER_API_KEY` 环境变量（可选 `ORCAROUTER_API_BASE`，默认为 `https://api.orcarouter.ai/v1`）。Key 可在 https://www.orcarouter.ai 获取。
 
+#### 使用 Cheaper Inference 作为 LLM 网关（可选）
+
+FunClip 也可以将 LLM 智能裁剪发送到 [Cheaper Inference](https://cheaperinference.com)——一个 OpenAI 兼容的 LLM 网关。一个 API key 即可使用多家厂商的模型。在 **LLM Model Name** 下拉框选择任意 `cheaperinference/` 模型，在 **APIKEY** 输入框粘贴 Cheaper Inference API key，点击“LLM推理”。FunClip 会去掉 `cheaperinference/` 前缀，把字幕与 prompt 发送到 `https://api.cheaperinference.com/v1/chat/completions`，返回的分段与现有“AI Clip”按钮兼容。
+
+也可以不填 UI，而是设置 `CHEAPER_INFERENCE_API_KEY` 环境变量（可选 `CHEAPER_INFERENCE_API_BASE`，默认为 `https://api.cheaperinference.com/v1`）。Key 可在 https://cheaperinference.com/signup 获取。
+
 ### B.通过命令行调用使用FunClip的相关功能
 ```shell
 # 下载下面命令用到的示例视频

funclip/launch.py

@@ -150,7 +150,7 @@ def video_clip_addsub(dest_text, video_spk_input, start_ost, end_ost, state, out
             )
 
     def llm_inference(system_content, user_content, srt_text, model, apikey, video_input=None):
-        SUPPORT_LLM_PREFIX = ['litellm', 'qwen', 'gpt', 'g4f', 'moonshot', 'deepseek', 'atlascloud', 'minimax', 'orcarouter', 'pegasus']
+        SUPPORT_LLM_PREFIX = ['litellm', 'qwen', 'gpt', 'g4f', 'moonshot', 'deepseek', 'atlascloud', 'minimax', 'orcarouter', 'cheaperinference', 'pegasus']
         if model.startswith('litellm/'):
             return litellm_call(apikey, model, user_content+'\n'+srt_text, system_content)
         if model.startswith('pegasus'):
@@ -162,7 +162,7 @@ def llm_inference(system_content, user_content, srt_text, model, apikey, video_i
             return call_twelvelabs_pegasus(apikey, video_input, model=model, prompt=system_content)
         if model.startswith('qwen'):
             return call_qwen_model(apikey, model, user_content+'\n'+srt_text, system_content)
-        if model.startswith('gpt') or model.startswith('moonshot') or model.startswith('deepseek') or model.startswith('atlascloud/') or model.startswith('minimax/') or model.startswith('orcarouter/'):
+        if model.startswith('gpt') or model.startswith('moonshot') or model.startswith('deepseek') or model.startswith('atlascloud/') or model.startswith('minimax/') or model.startswith('orcarouter/') or model.startswith('cheaperinference/'):
             return openai_call(apikey, model, user_content+'\n'+srt_text, system_content)
         elif model.startswith('g4f'):
             model = "-".join(model.split('-')[1:])
@@ -273,6 +273,10 @@ def AI_clip_subti(LLM_res, dest_text, video_spk_input, start_ost, end_ost, video
                                              "orcarouter/fusion",
                                              "orcarouter/fusion-flash",
                                              "orcarouter/fusion-mini",
+                                             "cheaperinference/gpt-5.4-mini",
+                                             "cheaperinference/gpt-5.4",
+                                             "cheaperinference/claude-sonnet-5",
+                                             "cheaperinference/deepseek-v4-flash",
                                              "pegasus1.5"],
                                     value="deepseek-chat",
                                     label="LLM Model Name",

funclip/llm/openai_api.py

@@ -19,6 +19,11 @@
 ORCAROUTER_API_BASE = "https://api.orcarouter.ai/v1"
 ORCAROUTER_MODEL_PREFIX = "orcarouter/"
 
+# Cheaper Inference is an OpenAI-compatible LLM gateway. Its model IDs are
+# bare (e.g. `gpt-5.4-mini`), so the `cheaperinference/` prefix is stripped.
+CHEAPER_INFERENCE_API_BASE = "https://api.cheaperinference.com/v1"
+CHEAPER_INFERENCE_MODEL_PREFIX = "cheaperinference/"
+
 
 def _resolve_model_config(model):
     base_url = None
@@ -53,6 +58,16 @@ def _resolve_model_config(model):
         if not base_url:
             base_url = ORCAROUTER_API_BASE
         api_key_env = "ORCAROUTER_API_KEY"
+    elif model.startswith(CHEAPER_INFERENCE_MODEL_PREFIX):
+        model = model[len(CHEAPER_INFERENCE_MODEL_PREFIX):]
+        if not model:
+            raise ValueError(
+                "Model name is empty after stripping cheaperinference/ prefix"
+            )
+        base_url = os.environ.get("CHEAPER_INFERENCE_API_BASE", CHEAPER_INFERENCE_API_BASE).strip()
+        if not base_url:
+            base_url = CHEAPER_INFERENCE_API_BASE
+        api_key_env = "CHEAPER_INFERENCE_API_KEY"
     elif model.startswith("deepseek"):
         base_url = "https://api.deepseek.com"
     elif model.startswith("gpt-3.5-turbo"):

tests/test_cheaperinference_api.py

@@ -0,0 +1,92 @@
+"""Tests for Cheaper Inference routing through the OpenAI-compatible client."""
+
+import os
+import unittest
+from unittest.mock import MagicMock, patch
+
+from funclip.llm.openai_api import (
+    CHEAPER_INFERENCE_API_BASE,
+    openai_call,
+)
+
+
+def _mock_completion(content="ok"):
+    completion = MagicMock()
+    completion.choices = [MagicMock()]
+    completion.choices[0].message.content = content
+    return completion
+
+
+class TestCheaperInferenceRouting(unittest.TestCase):
+    def test_cheaperinference_prefix_uses_gateway_base_url(self):
+        client = MagicMock()
+        client.chat.completions.create.return_value = _mock_completion("clip plan")
+
+        with patch("funclip.llm.openai_api.OpenAI", return_value=client) as openai_cls:
+            result = openai_call(
+                "ci-key",
+                "cheaperinference/gpt-5.4-mini",
+                "subtitle text",
+                "find highlights",
+            )
+
+        self.assertEqual(result, "clip plan")
+        openai_cls.assert_called_once_with(
+            api_key="ci-key",
+            base_url=CHEAPER_INFERENCE_API_BASE,
+        )
+        # Cheaper Inference model IDs are bare: the prefix is stripped.
+        call_kwargs = client.chat.completions.create.call_args[1]
+        self.assertEqual(call_kwargs["model"], "gpt-5.4-mini")
+
+    def test_cheaperinference_api_key_falls_back_to_env(self):
+        client = MagicMock()
+        client.chat.completions.create.return_value = _mock_completion()
+
+        with patch.dict(os.environ, {"CHEAPER_INFERENCE_API_KEY": "env-ci-key"}, clear=False):
+            with patch("funclip.llm.openai_api.OpenAI", return_value=client) as openai_cls:
+                openai_call("", "cheaperinference/gpt-5.4-mini", "text")
+
+        openai_cls.assert_called_once_with(
+            api_key="env-ci-key",
+            base_url=CHEAPER_INFERENCE_API_BASE,
+        )
+        call_kwargs = client.chat.completions.create.call_args[1]
+        self.assertEqual(call_kwargs["model"], "gpt-5.4-mini")
+
+    def test_cheaperinference_api_base_env_overrides(self):
+        client = MagicMock()
+        client.chat.completions.create.return_value = _mock_completion()
+
+        with patch.dict(
+            os.environ,
+            {"CHEAPER_INFERENCE_API_BASE": "https://gateway.example.com/v1"},
+            clear=False,
+        ):
+            with patch("funclip.llm.openai_api.OpenAI", return_value=client) as openai_cls:
+                openai_call("ci-key", "cheaperinference/claude-sonnet-5", "text")
+
+        openai_cls.assert_called_once_with(
+            api_key="ci-key",
+            base_url="https://gateway.example.com/v1",
+        )
+
+    def test_empty_cheaperinference_model_raises(self):
+        with self.assertRaises(ValueError):
+            openai_call("key", "cheaperinference/", "text")
+
+    def test_missing_cheaperinference_key_does_not_fall_back_to_openai_key(self):
+        with patch.dict(
+            os.environ,
+            {"OPENAI_API_KEY": "openai-only-key"},
+            clear=True,
+        ):
+            with patch("funclip.llm.openai_api.OpenAI") as openai_cls:
+                with self.assertRaisesRegex(ValueError, "CHEAPER_INFERENCE_API_KEY"):
+                    openai_call("", "cheaperinference/gpt-5.4-mini", "text")
+
+        openai_cls.assert_not_called()
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_cheaperinference_launch_integration.py

@@ -0,0 +1,74 @@
+"""Regression tests for Cheaper Inference choices and prompt routing in the launcher."""
+
+import ast
+import unittest
+from pathlib import Path
+
+
+LAUNCH_PATH = Path(__file__).resolve().parents[1] / "funclip" / "launch.py"
+
+
+class TestCheaperInferenceLaunchIntegration(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.tree = ast.parse(LAUNCH_PATH.read_text(encoding="utf-8"))
+
+    def test_openai_compatible_route_handles_cheaperinference_prefix(self):
+        llm_inference = next(
+            node
+            for node in ast.walk(self.tree)
+            if isinstance(node, ast.FunctionDef) and node.name == "llm_inference"
+        )
+        openai_call = next(
+            node
+            for node in ast.walk(llm_inference)
+            if isinstance(node, ast.Call)
+            and isinstance(node.func, ast.Name)
+            and node.func.id == "openai_call"
+        )
+        # The openai_call dispatch branch must also cover cheaperinference/ models.
+        dispatch_condition = next(
+            node
+            for node in ast.walk(llm_inference)
+            if isinstance(node, ast.If) and isinstance(node.test, ast.BoolOp)
+        )
+        self.assertIn("cheaperinference/", ast.unparse(dispatch_condition.test))
+        self.assertEqual(ast.unparse(openai_call.args[2]), "user_content + '\\n' + srt_text")
+        self.assertEqual(ast.unparse(openai_call.args[3]), "system_content")
+
+    def test_support_prefix_list_includes_cheaperinference(self):
+        llm_inference = next(
+            node
+            for node in ast.walk(self.tree)
+            if isinstance(node, ast.FunctionDef) and node.name == "llm_inference"
+        )
+        assigned = [
+            node
+            for node in ast.walk(llm_inference)
+            if isinstance(node, ast.Assign) and node.targets[0].id == "SUPPORT_LLM_PREFIX"
+        ]
+        self.assertEqual(len(assigned), 1)
+        prefix_list = assigned[0].value
+        self.assertIsInstance(prefix_list, ast.List)
+        prefixes = {
+            node.value
+            for node in ast.walk(prefix_list)
+            if isinstance(node, ast.Constant) and isinstance(node.value, str)
+        }
+        self.assertIn("cheaperinference", prefixes)
+
+    def test_dropdown_lists_cheaperinference_gateway_models(self):
+        string_literals = {
+            node.value
+            for node in ast.walk(self.tree)
+            if isinstance(node, ast.Constant) and isinstance(node.value, str)
+        }
+
+        self.assertIn("cheaperinference/gpt-5.4-mini", string_literals)
+        self.assertIn("cheaperinference/gpt-5.4", string_literals)
+        self.assertIn("cheaperinference/claude-sonnet-5", string_literals)
+        self.assertIn("cheaperinference/deepseek-v4-flash", string_literals)
+
+
+if __name__ == "__main__":
+    unittest.main()