BerriAI/litellm · error · ValueError
Parameter {k} is not supported for model {model}. Supported
Error message
Parameter {k} is not supported for model {model}. Supported parameters are {supported_params}. Set drop_params=True to drop unsupported parameters. What it means
When mapping OpenAI images/edits params onto Stability AI's schema, the transformer only allows params that are supported for the model or explicitly mapped (size -> aspect_ratio, n -> _n, response_format -> _response_format). Any other OpenAI param raises ValueError listing supported params unless drop_params=True is set, mirroring litellm's global get_optional_params behavior.
Source
Thrown at litellm/llms/bedrock/image_edit/stability_transformation.py:135
# Create a copy to not mutate original - convert TypedDict to regular dict
mapped_params: Final[dict[str, Any]] = dict(image_edit_optional_params)
for k, v in image_edit_optional_params.items():
if k in param_mapping:
# Map param if mapping exists and value is valid
if k == "size" and v in OPENAI_SIZE_TO_STABILITY_ASPECT_RATIO:
mapped_params[param_mapping[k]] = OPENAI_SIZE_TO_STABILITY_ASPECT_RATIO[v]
# Don't copy "size" itself to final dict
elif k == "n":
# Store for logic but do not add to outgoing params
mapped_params["_n"] = v
elif k == "response_format":
# Only b64 supported at Stability; store for postprocessing
mapped_params["_response_format"] = v
elif k not in supported_params:
if not drop_params:
raise ValueError(
f"Parameter {k} is not supported for model {model}. "
f"Supported parameters are {supported_params}. "
f"Set drop_params=True to drop unsupported parameters."
)
# Otherwise, param will simply be dropped
else:
# param is supported and not mapped, keep as-is
continue
# Remove OpenAI params that have been mapped unless they're in stability
for mapped in ["size", "n", "response_format"]:
mapped_params.pop(mapped, None)
return mapped_params
def transform_image_edit_request(
self,
model: str,View on GitHub (pinned to 6c2dcb801b)
Solutions
- Set drop_params=True (litellm.drop_params = True, or per-call drop_params=True) to silently drop unsupported params.
- Or remove/whitelist params client-side to only those listed in the error's supported_params.
- Map size manually: only specific OpenAI sizes convert to Stability aspect ratios; unsupported size strings also fall through to this path.
Example fix
# before
litellm.image_edit(model="bedrock/stability.sd3-large-img-edit",
image=img, prompt="...", quality="hd") # ValueError
# after
litellm.image_edit(model="bedrock/stability.sd3-large-img-edit",
image=img, prompt="...", drop_params=True) Defensive patterns
Strategy: validation
Validate before calling
STABILITY_ALLOWED = {"prompt", "image", "mask", "size", "n", "response_format"}
def filter_stability_params(d: dict) -> dict:
return {k: v for k, v in d.items() if k in STABILITY_ALLOWED} Type guard
def is_stability_edit_param(k: object) -> bool:
return k in {"prompt", "image", "mask", "size", "n", "response_format"} Prevention
- Set litellm.drop_params = True in proxies that fan out to multiple providers.
- Maintain a per-provider param whitelist in your client SDK.
- Remember DALL-E/gpt-image-1 params (quality, style, background, user) are not accepted on stability edits.
When it happens
Trigger: Calling bedrock stability image edits with extra OpenAI params like 'quality', 'style', 'user', or 'background', none of which exist in Stability's supported set; the check fires before the request is sent.
Common situations: Porting DALL-E 3 or gpt-image-1 edit calls (which accept quality/style/background/user) to bedrock/stability.*; passing through user-supplied param dicts unfiltered.
Related errors
- OUTPAINTING requires either a mask image or a mask prompt. P
- Unsupported Amazon Nova Canvas taskType: {task_type!r}. Use
- Amazon Nova Canvas INPAINTING requires either maskPrompt or
- Nova Canvas image edit requires an image input
- Nova Canvas image edit does not support tuple FileTypes. Pas
AI-assisted analysis of BerriAI/litellm@6c2dcb801b (2026-08-15).
Data as JSON: /api/errors/7e6d0167d5351352.
Report an issue: GitHub.