diff --git a/pyproject.toml b/pyproject.toml index e8838cac..2954e5fa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,6 +19,7 @@ dependencies = [ "websockets>=12.0", "nostr>=0.0.2", "mdurl==0.1.2", + "pillow>=10", ] [dependency-groups] diff --git a/routstr/payment/helpers.py b/routstr/payment/helpers.py index 5744e37a..3d6b47eb 100644 --- a/routstr/payment/helpers.py +++ b/routstr/payment/helpers.py @@ -1,9 +1,13 @@ +import base64 import json import math +from io import BytesIO from typing import Any +import httpx from fastapi import HTTPException, Response from fastapi.requests import Request +from PIL import Image from sqlmodel.ext.asyncio.session import AsyncSession from ..core import get_logger @@ -172,6 +176,18 @@ async def calculate_discounted_max_cost( if messages := body.get("messages"): prompt_tokens = estimate_tokens(messages) + + image_tokens = await estimate_image_tokens_in_messages(messages) + if image_tokens > 0: + logger.debug( + "Found images in request", + extra={ + "model": model, + "image_tokens": image_tokens, + }, + ) + prompt_tokens += image_tokens + estimated_prompt_delta_sats = ( max_prompt_allowed_sats - prompt_tokens * model_pricing.prompt ) @@ -215,6 +231,157 @@ def estimate_tokens(messages: list) -> int: return len(str(messages)) // 3 +def _get_image_dimensions(image_data: bytes) -> tuple[int, int]: + """Extract image dimensions from image bytes.""" + try: + img = Image.open(BytesIO(image_data)) + return img.size + except Exception as e: + logger.warning( + "Failed to get image dimensions, using default", + extra={"error": str(e)}, + ) + return (512, 512) + + +async def _fetch_image_from_url(url: str) -> bytes | None: + """Fetch image from URL.""" + try: + async with httpx.AsyncClient(timeout=10.0) as client: + response = await client.get(url) + response.raise_for_status() + return response.content + except Exception as e: + logger.warning( + "Failed to fetch image from URL", + extra={"error": str(e), "url": url[:100]}, + ) + return None + + +def _calculate_image_tokens(width: int, height: int, detail: str = "auto") -> int: + """Calculate image tokens based on OpenAI's vision pricing. + + For low detail: 85 tokens + For high detail/auto: 85 base tokens + 170 tokens per 512px tile + """ + if detail == "low": + return 85 + + if width > 2048 or height > 2048: + aspect_ratio = width / height + if width > height: + width = 2048 + height = int(width / aspect_ratio) + else: + height = 2048 + width = int(height * aspect_ratio) + + if width > 768 or height > 768: + aspect_ratio = width / height + if width > height: + width = 768 + height = int(width / aspect_ratio) + else: + height = 768 + width = int(height * aspect_ratio) + + tiles_width = (width + 511) // 512 + tiles_height = (height + 511) // 512 + num_tiles = tiles_width * tiles_height + + return 85 + (170 * num_tiles) + + +async def estimate_image_tokens_in_messages(messages: list) -> int: + """Estimate total tokens for all images in messages. + + Supports both base64 encoded images and image URLs. + """ + total_image_tokens = 0 + + for message in messages: + if not isinstance(message, dict): + continue + + content = message.get("content") + if not content: + continue + + if isinstance(content, str): + continue + + if not isinstance(content, list): + continue + + for content_item in content: + if not isinstance(content_item, dict): + continue + + content_type = content_item.get("type") + if content_type not in ("image_url", "input_image"): + continue + + image_url_data = content_item.get("image_url") + if not image_url_data: + continue + + if isinstance(image_url_data, str): + url = image_url_data + detail = "auto" + elif isinstance(image_url_data, dict): + url = image_url_data.get("url", "") + detail = image_url_data.get("detail", "auto") + else: + continue + + if not url: + continue + + if url.startswith("data:image/"): + try: + header, base64_data = url.split(",", 1) + image_bytes = base64.b64decode(base64_data) + width, height = _get_image_dimensions(image_bytes) + tokens = _calculate_image_tokens(width, height, detail) + total_image_tokens += tokens + logger.debug( + "Calculated tokens for base64 image", + extra={ + "width": width, + "height": height, + "detail": detail, + "tokens": tokens, + }, + ) + except Exception as e: + logger.warning( + "Failed to process base64 image", + extra={"error": str(e)}, + ) + total_image_tokens += 85 + else: + image_bytes_or_none = await _fetch_image_from_url(url) + if image_bytes_or_none: + width, height = _get_image_dimensions(image_bytes_or_none) + tokens = _calculate_image_tokens(width, height, detail) + total_image_tokens += tokens + logger.debug( + "Calculated tokens for URL image", + extra={ + "url": url[:100], + "width": width, + "height": height, + "detail": detail, + "tokens": tokens, + }, + ) + else: + total_image_tokens += 85 + + return total_image_tokens + + def create_error_response( error_type: str, message: str, diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index 92773033..1977101f 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -512,7 +512,7 @@ async def integration_app( from routstr.core.settings import settings as _settings # Passthrough discounted max cost to avoid dependence on MODELS in tests - def _passthrough_discount( + async def _passthrough_discount( max_cost_for_model: int, body: dict, model_obj: Any = None, diff --git a/tests/unit/test_image_tokens.py b/tests/unit/test_image_tokens.py new file mode 100644 index 00000000..a6fae275 --- /dev/null +++ b/tests/unit/test_image_tokens.py @@ -0,0 +1,189 @@ +import base64 +from io import BytesIO + +import pytest +from PIL import Image + +from routstr.payment.helpers import ( + _calculate_image_tokens, + _get_image_dimensions, + estimate_image_tokens_in_messages, +) + + +def create_test_image(width: int, height: int) -> bytes: + """Create a test image with specified dimensions.""" + img = Image.new("RGB", (width, height), color="red") + buffer = BytesIO() + img.save(buffer, format="JPEG") + return buffer.getvalue() + + +def test_calculate_image_tokens_low_detail() -> None: + """Test that low detail images always return 85 tokens.""" + assert _calculate_image_tokens(100, 100, "low") == 85 + assert _calculate_image_tokens(1000, 1000, "low") == 85 + assert _calculate_image_tokens(2048, 2048, "low") == 85 + + +def test_calculate_image_tokens_high_detail_small() -> None: + """Test token calculation for small images.""" + tokens = _calculate_image_tokens(512, 512, "high") + assert tokens == 85 + 170 + + +def test_calculate_image_tokens_high_detail_large() -> None: + """Test token calculation for large images that need tiling.""" + tokens = _calculate_image_tokens(768, 768, "high") + assert tokens > 85 + + +def test_calculate_image_tokens_auto() -> None: + """Test that auto detail behaves like high detail.""" + width, height = 512, 512 + auto_tokens = _calculate_image_tokens(width, height, "auto") + high_tokens = _calculate_image_tokens(width, height, "high") + assert auto_tokens == high_tokens + + +def test_get_image_dimensions() -> None: + """Test extracting dimensions from image bytes.""" + image_bytes = create_test_image(800, 600) + width, height = _get_image_dimensions(image_bytes) + assert width == 800 + assert height == 600 + + +def test_get_image_dimensions_invalid() -> None: + """Test that invalid image data returns default dimensions.""" + invalid_bytes = b"not an image" + width, height = _get_image_dimensions(invalid_bytes) + assert width == 512 + assert height == 512 + + +@pytest.mark.asyncio +async def test_estimate_image_tokens_base64() -> None: + """Test estimating tokens for base64 encoded images.""" + image_bytes = create_test_image(512, 512) + base64_image = base64.b64encode(image_bytes).decode("utf-8") + + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}, + }, + ], + } + ] + + tokens = await estimate_image_tokens_in_messages(messages) + assert tokens > 0 + + +@pytest.mark.asyncio +async def test_estimate_image_tokens_multiple_images() -> None: + """Test estimating tokens for multiple images.""" + image_bytes = create_test_image(512, 512) + base64_image = base64.b64encode(image_bytes).decode("utf-8") + + messages = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "Compare these images"}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}, + }, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}, + }, + ], + } + ] + + tokens = await estimate_image_tokens_in_messages(messages) + assert tokens > 0 + + +@pytest.mark.asyncio +async def test_estimate_image_tokens_with_detail() -> None: + """Test that detail parameter affects token calculation.""" + image_bytes = create_test_image(512, 512) + base64_image = base64.b64encode(image_bytes).decode("utf-8") + + messages_low = [ + { + "role": "user", + "content": [ + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{base64_image}", + "detail": "low", + }, + }, + ], + } + ] + + messages_high = [ + { + "role": "user", + "content": [ + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{base64_image}", + "detail": "high", + }, + }, + ], + } + ] + + tokens_low = await estimate_image_tokens_in_messages(messages_low) + tokens_high = await estimate_image_tokens_in_messages(messages_high) + + assert tokens_low == 85 + assert tokens_high > tokens_low + + +@pytest.mark.asyncio +async def test_estimate_image_tokens_no_images() -> None: + """Test that messages without images return 0 tokens.""" + messages = [ + {"role": "user", "content": "Hello, how are you?"}, + {"role": "assistant", "content": "I'm doing well, thank you!"}, + ] + + tokens = await estimate_image_tokens_in_messages(messages) + assert tokens == 0 + + +@pytest.mark.asyncio +async def test_estimate_image_tokens_input_image_type() -> None: + """Test that input_image type is also supported.""" + image_bytes = create_test_image(512, 512) + base64_image = base64.b64encode(image_bytes).decode("utf-8") + + messages = [ + { + "role": "user", + "content": [ + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image}", + }, + ], + } + ] + + tokens = await estimate_image_tokens_in_messages(messages) + assert tokens > 0 diff --git a/uv.lock b/uv.lock index 1f8866b4..6e2667e4 100644 --- a/uv.lock +++ b/uv.lock @@ -808,6 +808,8 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1f/8e/abdd3f14d735b2929290a018ecf133c901be4874b858dd1c604b9319f064/greenlet-3.2.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2523e5246274f54fdadbce8494458a2ebdcdbc7b802318466ac5606d3cded1f8", size = 587684 }, { url = 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