Commit changes in Space

app.py

@@ -5,6 +5,7 @@ from g4f.typing import AsyncResult, Messages
 import json
 import re
 import time
+import logging
 from urllib.parse import quote_plus
 from fastapi import FastAPI, Response, Request
 from fastapi.responses import RedirectResponse
@@ -29,7 +30,7 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
 
     models = [
         *g4f.Provider.OpenaiAccount.get_models(),
-        *g4f.Provider.HuggingChat.get_models(),
+        *g4f.Provider.PerplexityLabs.get_models(),
         "flux",
         "flux-pro",
         "MiniMax-01",
@@ -48,7 +49,7 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
             model = model.split(' ')[-1]
         elif model in g4f.Provider.OpenaiAccount.get_models():
             pass
-        elif model in g4f.Provider.HuggingChat.get_models():
+        elif model in g4f.Provider.PerplexityLabs.get_models():
             pass
         else:
             raise ModelNotSupportedError(f"Model: {model}")
@@ -58,12 +59,12 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
     def get_provider(cls, model):
         if model.startswith("MiniMax"):
             return "HailuoAI"
-        elif model == "Copilot":
+        elif model == "Copilot" or "dall-e" in model:
             return "CopilotAccount"
         elif model in g4f.Provider.OpenaiAccount.get_models():
             return "OpenaiAccount"
-        elif model in g4f.Provider.HuggingChat.get_models():
-            return "HuggingChat"
+        elif model in g4f.Provider.PerplexityLabs.get_models():
+            return "PerplexityLabs"
         return None
 
     @classmethod
@@ -77,6 +78,9 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
         **kwargs
     ) -> AsyncResult:
         debug.log(f"{__name__}: {api_key}")
+        if "dall-e" in model and "prompt" not in kwargs:
+            kwargs["prompt"] = messages[-1]["content"]
+            messages[-1]["content"] = f"Generate a image: {kwargs['prompt']}"
 
         async with StreamSession(
             proxy=proxy,
@@ -86,12 +90,14 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
             model = cls.get_model(model)
             provider = cls.get_provider(model)
             async with session.post(f"{cls.url}/backend-api/v2/conversation", json={
+                **kwargs,
                 "model": model,
                 "messages": messages,
-                "provider": provider,
-                **kwargs
+                "provider": provider
             }, ssl=cls.ssl) as response:
+                is_thinking = 0
                 async for line in response.iter_lines():
+                    response.raise_for_status()
                     data = json.loads(line)
                     data_type = data.pop("type")
                     if data_type == "provider":
@@ -112,7 +118,22 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
                             filename = f"{int(time.time())}_{quote_plus(match.group(1)[:100], '')}{extension}"
                             download_url = f"/download/{filename}?url={cls.url}{match.group(3)}"
                             return f"[![{match.group(1)}]({download_url})](/images/{filename})"
-                        yield re.sub(r'\[\!\[(.+?)\]\(([^)]+?)\)\]\(([^)]+?)\)', on_image, data["content"])
+                        if "<think>" in data[data_type]:
+                            data[data_type] = data[data_type].split("<think>", 1)
+                            yield data[data_type][0]
+                            yield Reasoning(data[data_type][1])
+                            yield Reasoning(None, "Is thinking...")
+                            is_thinking = time.time()
+                        if "</think>" in data[data_type][1]:
+                            data[data_type][1] = data[data_type].split("</think>", 1)
+                            yield Reasoning(data[data_type][0])
+                            yield Reasoning(None, f"Finished in {round(time.time()-is_thinking, 2)} seconds")
+                            yield data[data_type][1]
+                            is_thinking = 0
+                        elif is_thinking:
+                            yield Reasoning(data[data_type])
+                        else:
+                            yield re.sub(r'\[\!\[(.+?)\]\(([^)]+?)\)\]\(([^)]+?)\)', on_image, data[data_type])
                     elif data_type =="synthesize":
                         yield SynthesizeData(**data[data_type])
                     elif data_type == "parameters":
@@ -134,10 +155,74 @@ class BackendApi(AsyncGeneratorProvider, ProviderModelMixin):
 
 g4f.Provider.__map__["Feature"] = BackendApi
 
+import asyncio
+import uuid
+from aiohttp import ClientSession, ClientError
+from g4f.typing import Optional, Cookies
+from g4f.image import is_accepted_format
+
+async def copy_images(
+    images: list[str],
+    cookies: Optional[Cookies] = None,
+    headers: dict = None,
+    proxy: Optional[str] = None,
+    add_url: bool = True,
+    target: str = None,
+    ssl: bool = None
+) -> list[str]:
+    if add_url:
+        add_url = not cookies
+    #ensure_images_dir()
+    async with ClientSession(
+        #connector=get_connector(proxy=proxy),
+        cookies=cookies,
+        headers=headers,
+    ) as session:
+        async def copy_image(image: str, target: str = None) -> str:
+            if target is None or len(images) > 1:
+                target = os.path.join(images_dir, f"{int(time.time())}_{str(uuid.uuid4())}")
+            try:
+                if image.startswith("data:"):
+                    pass
+                    #with open(target, "wb") as f:
+                    #    f.write(extract_data_uri(image))
+                else:
+                    try:
+                        async with session.get(image, proxy=proxy, ssl=ssl) as response:
+                            response.raise_for_status()
+                            with open(target, "wb") as f:
+                                async for chunk in response.content.iter_chunked(4096):
+                                    f.write(chunk)
+                    except ClientError as e:
+                        debug.log(f"copy_images failed: {e.__class__.__name__}: {e}")
+                        return image
+                if "." not in target:
+                    with open(target, "rb") as f:
+                        extension = is_accepted_format(f.read(12)).split("/")[-1]
+                        extension = "jpg" if extension == "jpeg" else extension
+                        new_target = f"{target}.{extension}"
+                        os.rename(target, new_target)
+                        target = new_target
+            finally:
+                if "." not in target and os.path.exists(target):
+                    os.unlink(target)
+            return f"/images/{os.path.basename(target)}{'?url=' + image if add_url and not image.startswith('data:') else ''}"
+
+        return await asyncio.gather(*[copy_image(image, target) for image in images])
+
 def create_app():
     g4f.debug.logging = True
     g4f.api.AppConfig.gui = True
-    g4f.api.AppConfig.demo = True
+    g4f.api.AppConfig.demo = False
+
+    class NoHomeFilter(logging.Filter):
+        def filter(self, record):
+            if '"GET / HTTP/1.1" 200 OK' in record.getMessage():
+                return False
+            if '"GET /static/' in record.getMessage():
+                return False
+            return True
+    logging.getLogger("uvicorn.access").addFilter(NoHomeFilter())
 
     app = FastAPI()
 
@@ -156,6 +241,8 @@ def create_app():
     api.register_authorization()
     api.register_validation_exception_handler()
 
+    headers = {}
+
     @app.get("/download/{filename}", response_class=RedirectResponse)
     async def download(filename, request: Request):
         filename = os.path.basename(filename)
@@ -163,9 +250,14 @@ def create_app():
         if not os.path.exists(target):
             url = str(request.query_params).split("url=", 1)[1]
             if url:
-                source_url = url.replace("%2F", "/").replace("%3A", ":").replace("%3F", "?").replace("%3D", "=")
-                await copy_images([source_url], target=target, ssl=False)
+                source_url = url.replace("%2F", "/").replace("%3A", ":").replace("%3F", "?")
+                await copy_images(
+                    [source_url],
+                    target=target,
+                    ssl=False,
+                    headers=headers if source_url.startswith(BackendApi.url) else None)
             if not os.path.exists(target):
+        
                 return Response(status_code=404)
         return RedirectResponse(f"/images/{filename}")
 

deepseek4free-setup.sh

@@ -0,0 +1,31 @@
+git clone https://github.com/xtekky/deepseek4free.git
+
+echo "recursive-include dsk/wasm *" >> ./deepseek4free/MANIFEST.in
+
+echo "from setuptools import find_packages, setup
+
+INSTALL_REQUIRE = [
+    'curl-cffi',
+    'wasmtime',
+    'numpy',
+]
+
+DESCRIPTION = (
+    'The official gpt4free repository | various collection of powerful language models'
+)
+
+# Setting up
+setup(
+    name='dsk',
+    version='0.0.1.0',
+    author='Tekky',
+    author_email='<[email protected]>',
+    description=DESCRIPTION,
+    long_description_content_type='text/markdown',
+    long_description='',
+    packages=find_packages(),
+    include_package_data=True,
+    install_requires=INSTALL_REQUIRE
+)" >> ./deepseek4free/setup.py
+
+pip install ./deepseek4free --break-system-packages

har_and_cookies/.usage/2025-01-29.jsonl

@@ -0,0 +1,182 @@
+{"user": "MTadder", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 11, "completion_tokens": 27, "total_tokens": 38}
+{"user": "MTadder", "model": "gpt-4o", "provider": "Blackbox", "prompt_tokens": 11, "completion_tokens": 26, "total_tokens": 37}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 8, "completion_tokens": 12, "total_tokens": 20}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 8, "completion_tokens": 23, "total_tokens": 31}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 45, "completion_tokens": 180, "total_tokens": 225}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 45, "completion_tokens": 106, "total_tokens": 151}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 45, "completion_tokens": 44, "total_tokens": 89}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 45, "completion_tokens": 159, "total_tokens": 204}
+{"user": "roxky", "model": "black-forest-labs/FLUX.1-schnell", "provider": "HuggingFace", "prompt_tokens": 45, "completion_tokens": 142, "total_tokens": 187}
+{"user": "roxky", "model": "black-forest-labs/FLUX.1-schnell", "provider": "HuggingSpace", "prompt_tokens": 45, "completion_tokens": 192, "total_tokens": 237}
+{"user": "roxky", "model": "black-forest-labs/FLUX.1-schnell", "provider": "HuggingSpace", "prompt_tokens": 45, "completion_tokens": 191, "total_tokens": 236}
+{"user": "roxky", "model": "black-forest-labs/FLUX.1-schnell", "provider": "HuggingChat", "prompt_tokens": 45, "completion_tokens": 153, "total_tokens": 198}
+{"user": "roxky", "model": "black-forest-labs/FLUX.1-schnell", "provider": "HuggingSpace", "prompt_tokens": 45, "completion_tokens": 137, "total_tokens": 182}
+{"user": "roxky", "model": "Pollinations AI: flux", "provider": "HuggingSpace", "prompt_tokens": 16, "completion_tokens": 152, "total_tokens": 168}
+{"user": "roxky", "model": "Pollinations AI: flux", "provider": "Blackbox", "prompt_tokens": 16, "completion_tokens": 139, "total_tokens": 155}
+{"user": "MTadder", "model": "qwq-32b", "provider": "HuggingFace", "prompt_tokens": 30, "completion_tokens": 523, "total_tokens": 553}
+{"user": "roxky", "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "provider": "Feature", "prompt_tokens": 9, "completion_tokens": 20, "total_tokens": 29}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 13, "completion_tokens": 242, "total_tokens": 255}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 263, "completion_tokens": 137, "total_tokens": 400}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 255, "completion_tokens": 57, "total_tokens": 312}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 10088, "completion_tokens": 39, "total_tokens": 10127}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 8, "completion_tokens": 10, "total_tokens": 18}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 31, "completion_tokens": 92, "total_tokens": 123}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 132, "completion_tokens": 20, "total_tokens": 152}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 157, "completion_tokens": 67, "total_tokens": 224}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 232, "completion_tokens": 74, "total_tokens": 306}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 307, "completion_tokens": 81, "total_tokens": 388}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 497, "completion_tokens": 614, "total_tokens": 1111}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 8, "completion_tokens": 10, "total_tokens": 18}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 40, "completion_tokens": 117, "total_tokens": 157}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 179, "completion_tokens": 208, "total_tokens": 387}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 382, "completion_tokens": 239, "total_tokens": 621}
+{"user": "maverick792", "model": "o1", "provider": "Feature", "prompt_tokens": 19, "completion_tokens": 810, "total_tokens": 829}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 610, "completion_tokens": 196, "total_tokens": 806}
+{"user": "maverick792", "model": "o1", "provider": "Feature", "prompt_tokens": 1031, "completion_tokens": 1481, "total_tokens": 2512}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 793, "completion_tokens": 313, "total_tokens": 1106}
+{"user": "maverick792", "model": "o1", "provider": "Feature", "prompt_tokens": 2772, "completion_tokens": 216, "total_tokens": 2988}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 4599, "completion_tokens": 55, "total_tokens": 4654}
+{"user": "maverick792", "model": "o1-preview", "provider": "Feature", "prompt_tokens": 3066, "completion_tokens": 1905, "total_tokens": 4971}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 5852, "completion_tokens": 461, "total_tokens": 6313}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 6270, "completion_tokens": 382, "total_tokens": 6652}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 6642, "completion_tokens": 234, "total_tokens": 6876}
+{"user": "maverick792", "model": "o1-preview", "provider": "Feature", "prompt_tokens": 5280, "completion_tokens": 1858, "total_tokens": 7138}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 6874, "completion_tokens": 299, "total_tokens": 7173}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 7169, "completion_tokens": 349, "total_tokens": 7518}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 7507, "completion_tokens": 432, "total_tokens": 7939}
+{"user": "maverick792", "model": "o1-preview", "provider": "Feature", "prompt_tokens": 7449, "completion_tokens": 1157, "total_tokens": 8606}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 7897, "completion_tokens": 3069, "total_tokens": 10966}
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+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 9952, "completion_tokens": 398, "total_tokens": 10350}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 7897, "completion_tokens": 3069, "total_tokens": 10966}
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+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 14401, "completion_tokens": 29, "total_tokens": 14430}
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+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 18379, "completion_tokens": 2038, "total_tokens": 20417}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 20020, "completion_tokens": 2230, "total_tokens": 22250}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 18379, "completion_tokens": 2038, "total_tokens": 20417}
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+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 27458, "completion_tokens": 239, "total_tokens": 27697}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 28631, "completion_tokens": 666, "total_tokens": 29297}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 29348, "completion_tokens": 1353, "total_tokens": 30701}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 31059, "completion_tokens": 1226, "total_tokens": 32285}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 33004, "completion_tokens": 1502, "total_tokens": 34506}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 35888, "completion_tokens": 1580, "total_tokens": 37468}
+{"user": "evanforsale", "model": "llama-3.2-11b", "provider": "HuggingFaceAPI", "prompt_tokens": 39076, "completion_tokens": 2652, "total_tokens": 41728}
+{"user": "MTadder", "model": "qwq-32b", "provider": "HuggingFace", "prompt_tokens": 75, "completion_tokens": 685, "total_tokens": 760}
+{"user": "roxky", "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "provider": "HuggingChat", "prompt_tokens": 17, "completion_tokens": 23, "total_tokens": 40}
+{"user": "roxky", "model": "MiniMax-01", "provider": "HailuoAI", "prompt_tokens": 17, "completion_tokens": 55, "total_tokens": 72}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 8, "completion_tokens": 14, "total_tokens": 22}
+{"user": "roxky", "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B", "provider": "HuggingChat", "prompt_tokens": 8, "completion_tokens": 12, "total_tokens": 20}
+{"user": "nelivol732", "model": "sd-3.5", "provider": "HuggingSpace", "prompt_tokens": 31, "completion_tokens": 220, "total_tokens": 251}
+{"user": "nelivol732", "model": "sd-3.5", "provider": "HuggingFace", "prompt_tokens": 312, "completion_tokens": 102, "total_tokens": 414}
+{"user": "nelivol732", "model": "sd-3.5", "provider": "HuggingSpace", "prompt_tokens": 437, "completion_tokens": 219, "total_tokens": 656}
+{"user": "nelivol732", "model": "flux-dev", "provider": "HuggingSpace", "prompt_tokens": 31, "completion_tokens": 214, "total_tokens": 245}
+{"user": "nelivol732", "model": "flux-dev", "provider": "HuggingFace", "prompt_tokens": 306, "completion_tokens": 98, "total_tokens": 404}
+{"user": "nelivol732", "model": "flux-schnell", "provider": "HuggingFace", "prompt_tokens": 31, "completion_tokens": 88, "total_tokens": 119}
+{"user": "roxky", "model": "Qwen/Qwen2.5-72B-Instruct", "provider": "HuggingChat", "prompt_tokens": 9, "completion_tokens": 30, "total_tokens": 39}
+{"user": "roxky", "model": "MiniMax-01", "provider": "HailuoAI", "prompt_tokens": 9, "completion_tokens": 28, "total_tokens": 37}
+{"user": "nelivol732", "model": "flux-schnell", "provider": "HuggingFace", "prompt_tokens": 180, "completion_tokens": 98, "total_tokens": 278}
+{"user": "roxky", "model": "gpt-4", "provider": "OpenaiAccount", "prompt_tokens": 9, "completion_tokens": 7, "total_tokens": 16}
+{"user": "nelivol732", "model": "sd-3.5", "provider": "HuggingSpace", "prompt_tokens": 31, "completion_tokens": 214, "total_tokens": 245}
+{"user": "roxky", "model": "Microsoft Copilot", "provider": "CopilotAccount", "prompt_tokens": 57, "completion_tokens": 176, "total_tokens": 233}
+{"user": "nelivol732", "model": "gpt-4o", "provider": "Blackbox", "prompt_tokens": 37, "completion_tokens": 30, "total_tokens": 67}
+{"user": "nelivol732", "completion_tokens": 74, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens": 179, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}, "total_tokens": 253}
+{"user": "nelivol732", "completion_tokens": 166, "prompt_tokens": 313, "total_tokens": 479}
+{"user": "nelivol732", "model": "gpt-4o", "provider": "Blackbox", "prompt_tokens": 2522, "completion_tokens": 6, "total_tokens": 2528}
+{"user": "nelivol732", "model": "gpt-4o", "provider": "Blackbox", "prompt_tokens": 2522, "completion_tokens": 6, "total_tokens": 2528}
+{"user": "nelivol732", "completion_tokens": 136, "completion_tokens_details": {"accepted_prediction_tokens": 0, "audio_tokens": 0, "reasoning_tokens": 0, "rejected_prediction_tokens": 0}, "prompt_tokens": 2559, "prompt_tokens_details": {"audio_tokens": 0, "cached_tokens": 0}, "total_tokens": 2695}
+{"user": "fabler43", "model": "o1", "provider": "OpenaiAccount", "prompt_tokens": 25, "completion_tokens": 59, "total_tokens": 84}
+{"user": "fabler43", "model": "flux-pro", "provider": "PollinationsAI", "prompt_tokens": 21, "completion_tokens": 198, "total_tokens": 219}
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