feat(llm): add Runcrate as a named OpenAI-compatible provider

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 Runcrate as your LLM provider (optional)
+
+FunClip can also send LLM-assisted clipping to open models on [Runcrate](https://www.runcrate.ai/inference?utm_source=funclip&utm_medium=directory&utm_campaign=gpu_pricing), an OpenAI-compatible API. Open models are free with your GitHub account. Select a `runcrate/` model in the **LLM Model Name** dropdown (for example `runcrate/deepseek-ai/DeepSeek-V4.1-Flash` or `runcrate/openai/gpt-oss-120b`), paste a Runcrate API key in the **APIKEY** box, and click 'LLM Inference'. FunClip removes the `runcrate/` prefix and sends the transcript and prompts to `https://api.runcrate.ai/v1/chat/completions`. The returned segments work with the existing 'AI Clip' button.
+
+Set `RUNCRATE_API_KEY` (and optionally `RUNCRATE_API_BASE`, which defaults to `https://api.runcrate.ai/v1`) instead of pasting the key into the UI if you prefer environment-based configuration.
+
 #### 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.

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 Runcrate 作为 LLM 提供方（可选）
+
+FunClip 也可以将 LLM 智能裁剪发送到 [Runcrate](https://www.runcrate.ai/inference?utm_source=funclip&utm_medium=directory&utm_campaign=gpu_pricing) 上的开放模型，Runcrate 提供 OpenAI 兼容 API。开放模型可通过 GitHub 账号免费使用。在 **LLM Model Name** 下拉框选择 `runcrate/` 模型（例如 `runcrate/deepseek-ai/DeepSeek-V4.1-Flash` 或 `runcrate/openai/gpt-oss-120b`），在 **APIKEY** 输入框粘贴 Runcrate API key，点击“LLM推理”。FunClip 会去掉 `runcrate/` 前缀，把字幕与 prompt 发送到 `https://api.runcrate.ai/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 `RUNCRATE_API_KEY` 环境变量（可选 `RUNCRATE_API_BASE`，默认为 `https://api.runcrate.ai/v1`）。
+
 #### 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。

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', 'cheaperinference', 'pegasus']
+        SUPPORT_LLM_PREFIX = ['litellm', 'qwen', 'gpt', 'g4f', 'moonshot', 'deepseek', 'atlascloud', 'minimax', 'orcarouter', 'cheaperinference', 'runcrate', '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/') or model.startswith('cheaperinference/'):
+        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/') or model.startswith('runcrate/'):
             return openai_call(apikey, model, user_content+'\n'+srt_text, system_content)
         elif model.startswith('g4f'):
             model = "-".join(model.split('-')[1:])
@@ -277,6 +277,8 @@ def AI_clip_subti(LLM_res, dest_text, video_spk_input, start_ost, end_ost, video
                                              "cheaperinference/gpt-5.4",
                                              "cheaperinference/claude-sonnet-5",
                                              "cheaperinference/deepseek-v4-flash",
+                                             "runcrate/deepseek-ai/DeepSeek-V4.1-Flash",
+                                             "runcrate/openai/gpt-oss-120b",
                                              "pegasus1.5"],
                                     value="deepseek-chat",
                                     label="LLM Model Name",

funclip/llm/openai_api.py

@@ -24,6 +24,12 @@
 CHEAPER_INFERENCE_API_BASE = "https://api.cheaperinference.com/v1"
 CHEAPER_INFERENCE_MODEL_PREFIX = "cheaperinference/"
 
+# Runcrate serves open models on an OpenAI-compatible API. Its model IDs carry
+# the vendor (e.g. `deepseek-ai/DeepSeek-V4.1-Flash`), so only the `runcrate/`
+# prefix is stripped.
+RUNCRATE_API_BASE = "https://api.runcrate.ai/v1"
+RUNCRATE_MODEL_PREFIX = "runcrate/"
+
 
 def _resolve_model_config(model):
     base_url = None
@@ -68,6 +74,16 @@ def _resolve_model_config(model):
         if not base_url:
             base_url = CHEAPER_INFERENCE_API_BASE
         api_key_env = "CHEAPER_INFERENCE_API_KEY"
+    elif model.startswith(RUNCRATE_MODEL_PREFIX):
+        model = model[len(RUNCRATE_MODEL_PREFIX):]
+        if not model:
+            raise ValueError(
+                "Model name is empty after stripping runcrate/ prefix"
+            )
+        base_url = os.environ.get("RUNCRATE_API_BASE", RUNCRATE_API_BASE).strip()
+        if not base_url:
+            base_url = RUNCRATE_API_BASE
+        api_key_env = "RUNCRATE_API_KEY"
     elif model.startswith("deepseek"):
         base_url = "https://api.deepseek.com"
     elif model.startswith("gpt-3.5-turbo"):

tests/test_runcrate_api.py

@@ -0,0 +1,92 @@
+"""Tests for Runcrate routing through the OpenAI-compatible client."""
+
+import os
+import unittest
+from unittest.mock import MagicMock, patch
+
+from funclip.llm.openai_api import (
+    RUNCRATE_API_BASE,
+    openai_call,
+)
+
+
+def _mock_completion(content="ok"):
+    completion = MagicMock()
+    completion.choices = [MagicMock()]
+    completion.choices[0].message.content = content
+    return completion
+
+
+class TestRuncrateRouting(unittest.TestCase):
+    def test_runcrate_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(
+                "rc-key",
+                "runcrate/deepseek-ai/DeepSeek-V4.1-Flash",
+                "subtitle text",
+                "find highlights",
+            )
+
+        self.assertEqual(result, "clip plan")
+        openai_cls.assert_called_once_with(
+            api_key="rc-key",
+            base_url=RUNCRATE_API_BASE,
+        )
+        # Only the runcrate/ prefix is stripped; the vendor stays in the id.
+        call_kwargs = client.chat.completions.create.call_args[1]
+        self.assertEqual(call_kwargs["model"], "deepseek-ai/DeepSeek-V4.1-Flash")
+
+    def test_runcrate_api_key_falls_back_to_env(self):
+        client = MagicMock()
+        client.chat.completions.create.return_value = _mock_completion()
+
+        with patch.dict(os.environ, {"RUNCRATE_API_KEY": "env-rc-key"}, clear=False):
+            with patch("funclip.llm.openai_api.OpenAI", return_value=client) as openai_cls:
+                openai_call("", "runcrate/deepseek-ai/DeepSeek-V4.1-Flash", "text")
+
+        openai_cls.assert_called_once_with(
+            api_key="env-rc-key",
+            base_url=RUNCRATE_API_BASE,
+        )
+        call_kwargs = client.chat.completions.create.call_args[1]
+        self.assertEqual(call_kwargs["model"], "deepseek-ai/DeepSeek-V4.1-Flash")
+
+    def test_runcrate_api_base_env_overrides(self):
+        client = MagicMock()
+        client.chat.completions.create.return_value = _mock_completion()
+
+        with patch.dict(
+            os.environ,
+            {"RUNCRATE_API_BASE": "https://gateway.example.com/v1"},
+            clear=False,
+        ):
+            with patch("funclip.llm.openai_api.OpenAI", return_value=client) as openai_cls:
+                openai_call("rc-key", "runcrate/openai/gpt-oss-120b", "text")
+
+        openai_cls.assert_called_once_with(
+            api_key="rc-key",
+            base_url="https://gateway.example.com/v1",
+        )
+
+    def test_empty_runcrate_model_raises(self):
+        with self.assertRaises(ValueError):
+            openai_call("key", "runcrate/", "text")
+
+    def test_missing_runcrate_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, "RUNCRATE_API_KEY"):
+                    openai_call("", "runcrate/deepseek-ai/DeepSeek-V4.1-Flash", "text")
+
+        openai_cls.assert_not_called()
+
+
+if __name__ == "__main__":
+    unittest.main()