fix(images): stop forwarding the raw image[] and mask[] form keys by mateo-berri · Pull Request #39512 · BerriAI/litellm

mateo-berri · 2026-09-03T07:47:35Z

TLDR

Problem this solves:

/v1/images/edits forwarded the raw image[] key to providers
OpenAI 400s the documented alias: "Invalid type for 'image[0]'"
mask[] 400s the same way: "This parameter already has a different value"

How it solves it:

Drop image[] and mask[] from what gets forwarded
The handler already folded them into image and mask
Provider-agnostic: no OpenAI special-casing

User Flow

Before: a developer following LiteLLM's own documented image[] form gets a 400 and no edited image

They send POST https://litellm-domain/v1/images/edits with model=gpt-image-1, image[]=@tree.png, and prompt=add a small red hat on top, exactly the form the endpoint's own docs show
They get back HTTP 400: Invalid type for 'image[0]': expected a file, but got a string instead.
They drop the brackets and send the same request with image=@tree.png, which returns HTTP 200 with an edited image
They add a mask the documented way, sending image=@tree.png plus mask[]=@mask.png, and get back HTTP 400: Invalid parameter: 'mask'. This parameter already has a different value in your parameters.
They drop those brackets too and send mask=@mask.png, which returns HTTP 200, so the documented bracketed form is unusable through the gateway on either field

After: the same documented image[] and mask[] requests come back with an edited image

They send POST https://litellm-domain/v1/images/edits with model=gpt-image-1, image[]=@tree.png, and prompt=add a small red hat on top, exactly the form the endpoint's own docs show
They get back HTTP 200 with a b64_json image and a usage block
They send the same request with image=@tree.png, which returns HTTP 200 with an edited image
They add a mask the documented way, sending image=@tree.png plus mask[]=@mask.png, and get back HTTP 200 with an edited image
They send mask=@mask.png instead and get HTTP 200 as well, so both spellings work on both fields
Sending image and image[] together still returns HTTP 422 Cannot specify both 'image' and 'image[]', so the existing guard against ambiguous requests is unchanged

Relevant issues

Fixes #41421

Affected release

regression in v1.100.0 (PR #38104), still present in v1.101.0 and v1.102.0-rc.2

Linear ticket

Resolves LIT-6816

Pre-Submission checklist

Please complete all items before asking a LiteLLM maintainer to review your PR

I have added meaningful tests
The handful of test files covering my change pass locally, e.g. uv run pytest tests/test_litellm/<your_test_file>.py -v. Leave the suites (make test-unit-*, make test-unit) to CI: it finishes in ~15 minutes where a laptop takes an hour or more
My PR passes all required CI/CD checks (e.g., lint, schema.d.ts sync check, etc.)
My PR's scope is as isolated as possible; it only solves 1 specific problem
I have received a Greptile Confidence Score of at least 4/5 before requesting a maintainer review (Greptile reviews automatically once the PR is opened; only comment @greptileai to re-request a review after pushing changes)

Delays in PR merge?

If you're seeing a delay in your PR being merged, ping the LiteLLM Team on Slack (#pr-review).

Screenshots / Proof of Fix

Both legs run the same proxy config against the real OpenAI API with gpt-image-2.5-sunburst, the model the reporting customer hit this on, two uvicorn workers (--num_workers 2) on each proxy, and the same 256x256 tree.png / tree2.png / tree3.png / mask.png set. The customer's own call shape is the OpenAI Python SDK's client.images.edit(image=[...]), which the SDK sends as repeated image[] parts, so the SDK cases come first and the curl cases cover the documented bracketed forms directly. Real spend on every 200. Before is the merge base bc9f4fec5b (current main), After is this PR's tip 255190ca35, same nine cases in the same order on both

config.yaml:

model_list:
  - model_name: gpt-image-2.5-sunburst
    litellm_params:
      model: openai/gpt-image-2.5-sunburst
      api_key: os.environ/OPENAI_API_KEY
  - model_name: gpt-image-1
    litellm_params:
      model: openai/gpt-image-1
      api_key: os.environ/OPENAI_API_KEY

general_settings:
  master_key: sk-lit6816

sdk_edit.py:

import sys, json
from openai import OpenAI, APIStatusError
base_url, model, mode = sys.argv[1], sys.argv[2], sys.argv[3]
client = OpenAI(base_url=base_url, api_key="sk-lit6816")
files = {"single": open("tree.png", "rb"), "list1": [open("tree.png", "rb")], "list3": [open("tree.png", "rb"), open("tree2.png", "rb"), open("tree3.png", "rb")]}[mode]
try:
    r = client.images.edit(model=model, image=files, prompt="add a small red hat on top of the tree", size="1024x1024", quality="low")
    print(json.dumps({"created": r.created, "usage_total_tokens": r.usage.total_tokens if r.usage else None, "b64_json_length": len(r.data[0].b64_json or "")}))
except APIStatusError as e:
    print(f"HTTP {e.status_code}", json.dumps(e.body)[:400])

Each case is the command followed by its output. A 200 is summarized to created, usage.total_tokens, the b64_json length, and the number of images returned; an error shows the proxy's response body

Before (`bc9f4fe`)

SDK: three images in a list (the customer flow)

$ python sdk_edit.py http://127.0.0.1:34271 gpt-image-2.5-sunburst list3   # OpenAI SDK: client.images.edit(model=..., image=<list3>, prompt=..., size="1024x1024", quality="low")
HTTP 400 {"message": "litellm.BadRequestError: OpenAIException - {\n  \"error\": {\n    \"message\": \"Invalid type for 'image[0]': expected a file, but got a string instead.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": \"image[0]\",\n    \"code\": \"invalid_type\"\n  }\n}. Received Model Group=gpt-image-2.5-sunburst\nAvailable Model Group Fallbacks=None", "type": "invalid_request_error", "

SDK: a list of one image

$ python sdk_edit.py http://127.0.0.1:34271 gpt-image-2.5-sunburst list1   # OpenAI SDK: client.images.edit(model=..., image=<list1>, prompt=..., size="1024x1024", quality="low")
HTTP 400 {"message": "litellm.BadRequestError: OpenAIException - {\n  \"error\": {\n    \"message\": \"Invalid type for 'image[0]': expected a file, but got a string instead.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": \"image[0]\",\n    \"code\": \"invalid_type\"\n  }\n}. Received Model Group=gpt-image-2.5-sunburst\nAvailable Model Group Fallbacks=None", "type": "invalid_request_error", "

SDK: a single image, not a list

$ python sdk_edit.py http://127.0.0.1:34271 gpt-image-2.5-sunburst single   # OpenAI SDK: client.images.edit(model=..., image=<single>, prompt=..., size="1024x1024", quality="low")
{"created": 1789682988, "usage_total_tokens": 478, "b64_json_length": 1143356}

curl: two image[] parts

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image[]=@tree.png" -F "image[]=@tree2.png" -F "size=1024x1024" -F "quality=low"
HTTP 400 {"error": {"message": "litellm.BadRequestError: OpenAIException - {\n  \"error\": {\n    \"message\": \"Invalid type for 'image[0]': expected a file, but got a string instead.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": \"image[0]\",\n    \"code\": \"invalid_type\"\n  }\n}. Received Model Group=gpt-image-2.5-sunburst\nAvailable Model Group Fallbacks=None", "type": "invalid_request

curl: one image[] part

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image[]=@tree.png" -F "size=1024x1024" -F "quality=low"
HTTP 400 {"error": {"message": "litellm.BadRequestError: OpenAIException - {\n  \"error\": {\n    \"message\": \"Invalid type for 'image[0]': expected a file, but got a string instead.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": \"image[0]\",\n    \"code\": \"invalid_type\"\n  }\n}. Received Model Group=gpt-image-2.5-sunburst\nAvailable Model Group Fallbacks=None", "type": "invalid_request

curl: canonical image part

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683015, "usage_total_tokens": 478, "b64_json_length": 1139820, "images": 1}

curl: image plus mask[]

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "mask[]=@mask.png" -F "size=1024x1024" -F "quality=low"
HTTP 400 {"error": {"message": "litellm.BadRequestError: OpenAIException - {\n  \"error\": {\n    \"message\": \"Invalid parameter: 'mask'. This parameter already has a different value in your parameters. Please check your parameters.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": \"mask\",\n    \"code\": \"invalid_parameter\"\n  }\n}. Received Model Group=gpt-image-2.5-sunburst\nAvailable Mo

curl: image plus canonical mask

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "mask=@mask.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683035, "usage_total_tokens": 478, "b64_json_length": 1111556, "images": 1}

curl: image and image[] in one request (rejected on both sides)

$ curl -s http://127.0.0.1:34271/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "image[]=@tree2.png" -F "size=1024x1024" -F "quality=low"
HTTP 422 {"detail": "Cannot specify both 'image' and 'image[]'"}

After (`255190c`)

SDK: three images in a list (the customer flow)

$ python sdk_edit.py http://127.0.0.1:51671 gpt-image-2.5-sunburst list3   # OpenAI SDK: client.images.edit(model=..., image=<list3>, prompt=..., size="1024x1024", quality="low")
{"created": 1789683089, "usage_total_tokens": 1010, "b64_json_length": 1143568}

SDK: a list of one image

$ python sdk_edit.py http://127.0.0.1:51671 gpt-image-2.5-sunburst list1   # OpenAI SDK: client.images.edit(model=..., image=<list1>, prompt=..., size="1024x1024", quality="low")
{"created": 1789683105, "usage_total_tokens": 478, "b64_json_length": 1139396}

SDK: a single image, not a list

$ python sdk_edit.py http://127.0.0.1:51671 gpt-image-2.5-sunburst single   # OpenAI SDK: client.images.edit(model=..., image=<single>, prompt=..., size="1024x1024", quality="low")
{"created": 1789683122, "usage_total_tokens": 478, "b64_json_length": 1142032}

curl: two image[] parts

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image[]=@tree.png" -F "image[]=@tree2.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683133, "usage_total_tokens": 744, "b64_json_length": 1147548, "images": 1}

curl: one image[] part

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image[]=@tree.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683144, "usage_total_tokens": 478, "b64_json_length": 1139776, "images": 1}

curl: canonical image part

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683155, "usage_total_tokens": 478, "b64_json_length": 1144872, "images": 1}

curl: image plus mask[]

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "mask[]=@mask.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683167, "usage_total_tokens": 478, "b64_json_length": 1105448, "images": 1}

curl: image plus canonical mask

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "mask=@mask.png" -F "size=1024x1024" -F "quality=low"
HTTP 200 {"created": 1789683176, "usage_total_tokens": 478, "b64_json_length": 1110120, "images": 1}

curl: image and image[] in one request (rejected on both sides)

$ curl -s http://127.0.0.1:51671/v1/images/edits -H "Authorization: Bearer sk-lit6816" -F "model=gpt-image-2.5-sunburst" -F "prompt=add a small red hat on top of the tree" -F "image=@tree.png" -F "image[]=@tree2.png" -F "size=1024x1024" -F "quality=low"
HTTP 422 {"detail": "Cannot specify both 'image' and 'image[]'"}

Observations from the run:

mask[] 400s too on Before, different OpenAI error; fixed here
Single-image SDK calls never hit the bug; unchanged
image plus image[] still 422s on both sides; unchanged
Two image[] parts yield one edited image, 744 tokens; provider behavior
Gemini answers the same on both sides; masks unsupported there

Type

🐛 Bug Fix

Caveats (if any)

Low

Three non-required CircleCI jobs are red at this tip
- llm_translation_testing, litellm_utils_testing, ocr_testing
- The same tests fail on unrelated PRs, fix(bedrock): never emit Converse cachePoint for OpenAI-family models #41419 included
- Causes sit on main; this diff touches none of them
Only OpenAI and Gemini were driven live
- No provider transformation reads the dropped image[] / mask[] keys
Indexed image[0] parts still 500 on both sides
- Undocumented spelling, left alone here

Final Attestation

The tests check the right things, including the edge cases, and regressions in the respective real-world customer use-cases are not possible after this PR

Note

Low Risk
Scoped bug fix to proxy image-edit request shaping with new regression tests; no auth or billing changes.

Overview
Fixes a regression where /v1/images/edits still forwarded raw multipart keys image[] and mask[] to upstream providers after the handler had already normalized those uploads into image / mask, which caused OpenAI (and SDK clients using bracketed parts) to return 400s.

The image edit handler now defines shared constants for those aliases and strips image[] and mask[] from the coerced form data before routing, while continuing to populate image and mask from the file parameters. Tests assert bracketed aliases are omitted from the forwarded payload, canonical image/mask uploads are unchanged, and existing multipart numeric coercion behavior is preserved.

^{Reviewed by Cursor Bugbot for commit 255190c. Bugbot is set up for automated code reviews on this repo. Configure here.}

255190c passes /live-pr-risk

The /v1/images/edits handler binds the documented image[] and mask[] aliases into their canonical parameters, then re-reads the multipart body, so the raw bracketed keys rode along to the provider next to the values already built from them. OpenAI rejected both: image[] as "Invalid type for 'image[0]'" and mask[] as "Invalid parameter: 'mask'". Drop both aliases from what gets forwarded.

codspeed · 2026-09-03T07:49:45Z

Merging this PR will not alter performance

✅ 31 untouched benchmarks

_{Comparing litellm_fix_image_edits_bracketed_alias (255190c) with main (356b8d4)}

greptile-apps · 2026-09-03T07:51:45Z

Confidence Score: 5/5

The PR appears safe to merge.

Summary

The PR normalizes bracketed multipart image-edit aliases without forwarding their raw form keys downstream.

Adds shared constants for image[] and mask[].
Removes bracketed aliases from parsed request data after FastAPI binds them to canonical file parameters.
Adds regression coverage for bracketed and canonical image and mask uploads.

_{Reviews (4) · Last reviewed commit: "Merge remote-tracking branch 'origin/mai..."}

codecov · 2026-09-03T07:55:47Z

Codecov Report

✅ All modified and coverable lines are covered by tests.

📢 Thoughts on this report? Let us know!

mateo-berri · 2026-09-03T08:22:51Z

bugbot run

cursor

Stale Bugbot comment from a previous run.

…keys Forkit-Contribution: BerriAI#39512 Forkit-Source-Base: 066d5f0 Forkit-Source-Head: 06fb9dc Forkit-Applied-To: v1.100.1 Forkit-Input: sha256:2da47ca821e6ef88631df9078e810e9d298587ed05ac8d3574026aa7ebf389e8

tin-berri

LGTM

Approval revoked at user request

tin-berri

LGTM

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

devin-ai-integration · 2026-09-16T13:34:13Z

Merged main to clear the #39510 conflict; both behaviours composed. A customer report (Pylon #8687) confirms the same failure, including multi-image SDK edits

CLAassistant · 2026-09-16T13:38:05Z

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you all sign our Contributor License Agreement before we can accept your contribution.
1 out of 2 committers have signed the CLA.

✅ mateo-berri
❌ devin-ai-integration[bot]
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

TobiasGoerke · 2026-09-17T11:50:57Z

Can confirm this fixes the issue. Also works with Open WebUI's image edit feature

mateo-berri · 2026-09-17T20:49:32Z

@greptileai

…ts_bracketed_alias

mateo-berri · 2026-09-17T22:28:32Z

@greptileai

mateo-berri · 2026-09-17T22:37:53Z

bugbot run

cursor

✅ Bugbot reviewed your changes and found no new issues!

Comment @cursor review or bugbot run to trigger another review on this PR

^{Reviewed by Cursor Bugbot for commit 255190c. Configure here.}

fix(images): backport the image[] and mask[] form key drop to rc/1.102.0 (#39512)

martinmose · 2026-09-18T11:02:54Z

Do we know which version will include this fix? 🙏

…2.0 (BerriAI#39512) (cherry picked from commit 289c52b)

mateo-berri added the run-ci label Sep 3, 2026

mateo-berri mentioned this pull request Sep 3, 2026

fix(proxy): parse numeric multipart fields on /v1/images/edits back into numbers #39510

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auto-merge was automatically disabled September 13, 2026 04:48
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mateo-berri reopened this Sep 13, 2026

mateo-berri changed the base branch from litellm_internal_staging to main September 13, 2026 05:14

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chore: merge main into litellm_fix_image_edits_bracketed_alias

a295f3f

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

devin-ai-integration Bot requested a review from a team September 16, 2026 13:33

fix(images): build the merged edit form in one comprehension

e0dd135

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

mateo-berri added the backport-stable P0 regression fix only (Urgent ticket): cherry-pick onto the baking rc line before the stable tag label Sep 17, 2026

mateo-berri added run-ci and removed run-ci labels Sep 17, 2026

Merge remote-tracking branch 'origin/main' into litellm_fix_image_edi…

255190c

…ts_bracketed_alias

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mateo-berri added a commit that referenced this pull request Sep 17, 2026

Merge pull request #41697 from BerriAI/litellm_backport_39512_rc_1_102_0

e1ef8b3

fix(images): backport the image[] and mask[] form key drop to rc/1.102.0 (#39512)

krrish-berri-2 mentioned this pull request Sep 18, 2026

fix(proxy): keep image-edit uploads as files instead of strings (#41421) #41428

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mateo-berri mentioned this pull request Sep 19, 2026

fix(proxy): keep image-edit uploads as files instead of strings #41864

Closed

tech-carrement pushed a commit to tech-carrement/litellm that referenced this pull request Sep 20, 2026

fix(images): backport the image[] and mask[] form key drop to rc/1.10…

0e03b62

…2.0 (BerriAI#39512) (cherry picked from commit 289c52b)

devin-ai-integration Bot mentioned this pull request Oct 5, 2026

test(integration): cover images endpoint contracts #44653

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TLDR

User Flow

Relevant issues

Affected release

Linear ticket

Pre-Submission checklist

Delays in PR merge?

Screenshots / Proof of Fix

Before (bc9f4fe)

SDK: three images in a list (the customer flow)

SDK: a list of one image

SDK: a single image, not a list

curl: two image[] parts

curl: one image[] part

curl: canonical image part

curl: image plus mask[]

curl: image plus canonical mask

curl: image and image[] in one request (rejected on both sides)

After (255190c)

SDK: three images in a list (the customer flow)

SDK: a list of one image

SDK: a single image, not a list

curl: two image[] parts

curl: one image[] part

curl: canonical image part

curl: image plus mask[]

curl: image plus canonical mask

curl: image and image[] in one request (rejected on both sides)

Type

Caveats (if any)

Low

Final Attestation

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Merging this PR will not alter performance

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Confidence Score: 5/5

Summary

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Codecov Report

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mateo-berri commented Sep 3, 2026 •

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