from Ryzenth import RyzenthTools

rt = RyzenthTools()

response = await rt.aio.qwen_images.create("...")
obj = await response.to_obj()
task_id = obj.output.task_id

response_status = (await rt.aio.qwen_images.get_task(task_id)).to_obj()

if response_status.output.task_status == "SUCCEEDED":
    print(response_status.output)

from Ryzenth import RyzenthTools

rt = RyzenthTools("api-key-from-gemini")

results = await rt.aio.gemini_chat.ask([
    {"role": "system", "content": "You are a helpful assistant"},
    {"role": "user", "content": "What is Gemini?"}
], model="gemini-2.5-flash")

print(await results.to_dict())

coroutine 'ResponseResult.to_dict' was never awaited
  return await locals()["__aexec"]
RuntimeWarning: Enable tracemalloc to get the object allocation traceback

results = (await rt.aio.gemini_chat.ask([...])).to_dict()
print(await results)

results = await rt.aio.gemini_chat.ask([...])
print(await results.to_dict())

from Ryzenth import RyzenthTools

rt = RyzenthTools("api-key-from-gemini")

results = await rt.aio.gemini_chat.ask([
    {"role": "user", "content": "What's the weather like in Chicago today?"}
], tools=[
  {
    "type": "function",
    "function": {
      "name": "get_weather",
      "description": "Get the current weather in a given location",
      "parameters": {
        "type": "object",
        "properties": {
          "location": {
            "type": "string",
            "description": "The city and state, e.g. Chicago, IL"
          },
          "unit": {
            "type": "string",
            "enum": ["celsius", "fahrenheit"]
          }
        },
        "required": ["location"]
      }
    }
  }
],tool_choice="auto")

print(await results.to_json_dumps())

Cinematic overhead shot of a person standing with hands in pockets on a brick city sidewalk, wearing a red wine formal blazer. A motion blurred crowd rushes past around them. Moody lighting with a 35mm film look. Shallow depth of field, sharp focus on the person. Portrait orientation 4:3, face unchanged.

{
  "success": true,
  "data": {
    "id": "........",
    "object": "response",
    "created_at": 1755154982,
    "status": "completed",
    "background": false,
    "error": null,
    "incomplete_details": null,
    "instructions": null,
    "max_output_tokens": null,
    "max_tool_calls": null,
    "model": "gpt-5-2025-08-07",
    "output": [
      {
        "id": "......",
        "type": "reasoning",
        "summary": []
      },
      {
        "id": "......",
        "type": "message",
        "status": "completed",
        "content": [
          {
            "type": "output_text",
            "annotations": [],
            "logprobs": [],
            "text": "“Telegram” can mean two things:\n\n- Telegram (the app): A cloud-based messaging platform launched in 2013 by Pavel Durov. It offers fast chats, large group and channel broadcasts, bots, file sharing up to 2 GB, and multi-device sync. Regular chats are cloud-encrypted; end-to-end encryption is available only in Secret Chats.\n\n- A telegram (historical): A short written message sent over telegraph networks (often via Morse code), widely used from the mid-1800s to the late 20th century for rapid, long-distance communication.\n\nWhich one are you asking about?"
          }
        ],
        "role": "assistant"
      }
    ],
    "parallel_tool_calls": true,
    "previous_response_id": null,
    "prompt_cache_key": null,
    "reasoning": {
      "effort": "medium",
      "summary": null
    },
    "safety_identifier": null,
    "service_tier": "auto",
    "store": true,
    "temperature": 1,
    "text": {
      "format": {
        "type": "text"
      },
      "verbosity": "medium"
    },
    "tool_choice": "auto",
    "tools": [],
    "top_logprobs": 0,
    "top_p": 1,
    "truncation": "disabled",
    "usage": {
      "input_tokens": 10,
      "input_tokens_details": {
        "cached_tokens": 0
      },
      "output_tokens": 324,
      "output_tokens_details": {
        "reasoning_tokens": 192
      },
      "total_tokens": 334
    },
    "user": null,
    "metadata": {

    }
  },
  "meta": {
    "credits_remaining": 1923
  }
}

from Ryzenth import RyzenthTools

rt = RyzenthTools()

results = await rt.aio.chat.ask("Hello world")

print(await results.to_json_dumps()

from Ryzenth import RyzenthTools

rt = RyzenthTools()

results = await rt.aio.chat.ask([
    {"role": "system", "content": "You are helpful assistant"},
    {"role": "user", "content": "oh good job"}
], use_conversation=True)

print(await results.to_json_dumps())