|
| 1 | +"""xAI images client.""" |
| 2 | + |
| 3 | +from typing import Any, Unpack |
| 4 | + |
| 5 | +from celeste.artifacts import ImageArtifact |
| 6 | +from celeste.parameters import ParameterMapper |
| 7 | +from celeste.providers.xai.images import config |
| 8 | +from celeste.providers.xai.images.client import XAIImagesClient as XAIImagesMixin |
| 9 | + |
| 10 | +from ...client import ImagesClient |
| 11 | +from ...io import ( |
| 12 | + ImageFinishReason, |
| 13 | + ImageInput, |
| 14 | + ImageOutput, |
| 15 | + ImageUsage, |
| 16 | +) |
| 17 | +from ...parameters import ImageParameters |
| 18 | +from .parameters import XAI_PARAMETER_MAPPERS |
| 19 | + |
| 20 | + |
| 21 | +class XAIImagesClient(XAIImagesMixin, ImagesClient): |
| 22 | + """xAI images client.""" |
| 23 | + |
| 24 | + @classmethod |
| 25 | + def parameter_mappers(cls) -> list[ParameterMapper]: |
| 26 | + return XAI_PARAMETER_MAPPERS |
| 27 | + |
| 28 | + def _init_request(self, inputs: ImageInput) -> dict[str, Any]: |
| 29 | + """Initialize request from inputs.""" |
| 30 | + request: dict[str, Any] = {"prompt": inputs.prompt} |
| 31 | + if inputs.image is not None: |
| 32 | + # xAI accepts URL or base64 string |
| 33 | + if inputs.image.url: |
| 34 | + request["image"] = inputs.image.url |
| 35 | + else: |
| 36 | + request["image"] = inputs.image.get_base64() |
| 37 | + return request |
| 38 | + |
| 39 | + async def generate( |
| 40 | + self, |
| 41 | + prompt: str, |
| 42 | + **parameters: Unpack[ImageParameters], |
| 43 | + ) -> ImageOutput: |
| 44 | + """Generate images from prompt.""" |
| 45 | + inputs = ImageInput(prompt=prompt) |
| 46 | + return await self._predict( |
| 47 | + inputs, |
| 48 | + endpoint=config.XAIImagesEndpoint.CREATE_IMAGE, |
| 49 | + **parameters, |
| 50 | + ) |
| 51 | + |
| 52 | + async def edit( |
| 53 | + self, |
| 54 | + image: ImageArtifact, |
| 55 | + prompt: str, |
| 56 | + **parameters: Unpack[ImageParameters], |
| 57 | + ) -> ImageOutput: |
| 58 | + """Edit an image with text instructions.""" |
| 59 | + inputs = ImageInput(image=image, prompt=prompt) |
| 60 | + return await self._predict( |
| 61 | + inputs, |
| 62 | + endpoint=config.XAIImagesEndpoint.CREATE_EDIT, |
| 63 | + **parameters, |
| 64 | + ) |
| 65 | + |
| 66 | + def _parse_usage(self, response_data: dict[str, Any]) -> ImageUsage: |
| 67 | + """Parse usage from response.""" |
| 68 | + usage = super()._parse_usage(response_data) |
| 69 | + return ImageUsage(**usage) |
| 70 | + |
| 71 | + def _parse_content( |
| 72 | + self, |
| 73 | + response_data: dict[str, Any], |
| 74 | + **parameters: Unpack[ImageParameters], |
| 75 | + ) -> ImageArtifact: |
| 76 | + """Parse content from response.""" |
| 77 | + data = super()._parse_content(response_data) |
| 78 | + image_data = data[0] |
| 79 | + |
| 80 | + # xAI returns either b64_json or url |
| 81 | + b64_json = image_data.get("b64_json") |
| 82 | + if b64_json: |
| 83 | + import base64 |
| 84 | + |
| 85 | + image_bytes = base64.b64decode(b64_json) |
| 86 | + return ImageArtifact(data=image_bytes) |
| 87 | + |
| 88 | + url = image_data.get("url") |
| 89 | + if url: |
| 90 | + return ImageArtifact(url=url) |
| 91 | + |
| 92 | + msg = "No image URL or base64 data in response" |
| 93 | + raise ValueError(msg) |
| 94 | + |
| 95 | + def _parse_finish_reason(self, response_data: dict[str, Any]) -> ImageFinishReason: |
| 96 | + """Parse finish reason from response.""" |
| 97 | + finish_reason = super()._parse_finish_reason(response_data) |
| 98 | + return ImageFinishReason(reason=finish_reason.reason) |
| 99 | + |
| 100 | + |
| 101 | +__all__ = ["XAIImagesClient"] |
0 commit comments