deepset-ai/haystack · error · ValueError
Invalid image type: {params['type']}. Valid options are: {va
Error message
Invalid image type: {params['type']}. Valid options are: {valid_img_types}. What it means
When format is 'img', mermaid.ink accepts only certain raster image types. Haystack raises this if params['type'] is not in that list. It validates before making the network request so failures happen locally.
Source
Thrown at haystack/core/pipeline/draw.py:142
- paper: Paper size for PDFs (e.g., 'a4', 'a3'). Ignored if 'fit' is true.
- landscape: Landscape orientation for PDFs (boolean). Ignored if 'fit' is true.
:raises ValueError:
If any parameter is invalid or does not match the expected format.
"""
valid_img_types = {"jpeg", "png", "webp"}
valid_themes = {"default", "neutral", "dark", "forest"}
valid_formats = {"img", "svg", "pdf"}
params.setdefault("format", "img")
params.setdefault("type", "png")
params.setdefault("theme", "neutral")
if params["format"] not in valid_formats:
raise ValueError(f"Invalid image format: {params['format']}. Valid options are: {valid_formats}.")
if params["format"] == "img" and params["type"] not in valid_img_types:
raise ValueError(f"Invalid image type: {params['type']}. Valid options are: {valid_img_types}.")
if params["theme"] not in valid_themes:
raise ValueError(f"Invalid theme: {params['theme']}. Valid options are: {valid_themes}.")
if "width" in params and not isinstance(params["width"], int):
raise ValueError("Width must be an integer.")
if "height" in params and not isinstance(params["height"], int):
raise ValueError("Height must be an integer.")
if "scale" in params and not 1 <= params["scale"] <= 3:
raise ValueError("Scale must be a number between 1 and 3.")
if "scale" in params and not ("width" in params or "height" in params):
raise ValueError("Scale is only allowed when width or height is set.")
if "bgColor" in params and not isinstance(params["bgColor"], str):
raise ValueError("Background color must be a string.")
# PDF specific parametersView on GitHub (pinned to e318778c9b)
Solutions
- Set type to one of the listed valid_img_types (e.g. 'png', 'jpeg')
- For vector output use params={'format': 'svg'} instead of format='img' with type='svg'
- Omit 'type' to use the default 'png'
Example fix
// before
pipeline.draw(path="g", params={"format": "img", "type": "svg"}) # ValueError
// after
pipeline.draw(path="g", params={"format": "svg"}) Defensive patterns
Strategy: validation
Validate before calling
if params.get("format", "img") == "img" and params.get("type", "png") not in {"png", "jpeg"}:
raise ValueError("for format=img use type png or jpeg") Type guard
def valid_img_type(params: dict) -> bool:
return params.get("format", "img") != "img" or params.get("type", "png") in {"png", "jpeg"} Try / catch
try:
pipeline.draw(path, params=params)
except ValueError as e:
if "image type" in str(e):
params["type"] = "png"
pipeline.draw(path, params=params) Prevention
- Remember svg is a format, not a type
- Keep type as png/jpeg for raster output
When it happens
Trigger: Passing params={'format': 'img', 'type': 'svg'} or 'jpg'/'webp'; only raster types accepted for 'img' (e.g. 'png', 'jpeg').
Common situations: Users want a vector image and set type='svg' but forgot format must be 'svg'; confusion between the two params.
Related errors
- Invalid image format: {params['format']}. Valid options are:
- Invalid theme: {params['theme']}. Valid options are: {valid_
- Width must be an integer.
- Height must be an integer.
- Scale must be a number between 1 and 3.
AI-assisted analysis of deepset-ai/haystack@e318778c9b (2026-08-30).
Data as JSON: /api/errors/8393901036c0609b.
Report an issue: GitHub.