- Uses native async API (chat.complete_async) - Appends text input file contents to prompt with headers - Notes image inputs as attached references - Writes raw LLM response directly to output file
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
"""Mistral text generation provider."""
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from __future__ import annotations
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from pathlib import Path
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from typing import override
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from mistralai import Mistral, models
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from bulkgen.config import IMAGE_EXTENSIONS, TargetConfig
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from bulkgen.providers import Provider
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class TextProvider(Provider):
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"""Generates text via the Mistral API."""
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def __init__(self, api_key: str) -> None:
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self._api_key = api_key
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@override
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async def generate(
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self,
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target_name: str,
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target_config: TargetConfig,
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resolved_prompt: str,
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resolved_model: str,
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project_dir: Path,
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) -> None:
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output_path = project_dir / target_name
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content_parts: list[str] = [resolved_prompt]
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for input_name in target_config.inputs:
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input_path = project_dir / input_name
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suffix = input_path.suffix.lower()
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if suffix in IMAGE_EXTENSIONS:
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content_parts.append(f"\n[Attached image: {input_name}]")
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else:
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file_content = input_path.read_text()
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content_parts.append(
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f"\n--- Contents of {input_name} ---\n{file_content}"
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)
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full_prompt = "\n".join(content_parts)
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async with Mistral(api_key=self._api_key) as client:
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response = await client.chat.complete_async(
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model=resolved_model,
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messages=[models.UserMessage(content=full_prompt)],
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)
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if response is None or not response.choices:
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msg = f"Mistral API returned no response for target '{target_name}'"
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raise RuntimeError(msg)
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content = response.choices[0].message.content
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if content is None:
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msg = f"Mistral API returned empty content for target '{target_name}'"
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raise RuntimeError(msg)
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text = content if isinstance(content, str) else str(content)
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output_path.write_text(text)
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