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...

17 Commits

Author SHA1 Message Date
renovate[bot]
e5156abfe3 chore(deps): update dependency @biomejs/biome to v2.5.11 2026-09-01 01:28:06 +00:00
Dayuan Jiang
155ef4f7ac fix: raise the output budget so reasoning models reach the tool call (#927)
* fix: raise the output budget so reasoning models reach the tool call

A reasoning model spends the output budget in order: thinking first, then prose,
then the tool call. With 16000 the thinking alone can consume all of it, so the
turn ends with finishReason "length" before display_diagram is ever called. The
canvas stays empty and nothing surfaces in the UI, because no tool call means no
tool error, and the client never reads finishReason.

Measured on openrouter deepseek/deepseek-v4-flash, the model from the report:
- max_tokens=800 with reasoning on returns reasoning_tokens=800, empty content,
  finish_reason length. So reasoning is billed against this budget, not exempt.
- refining an existing diagram (19k chars of XML in the input) produced 49142
  chars of reasoning, zero tool calls, finishReason "length" at 16000
- the same request at 40000 finished and called edit_diagram with 12 operations

64000 cannot just be sent to every model: bedrock claude-3-haiku caps at 4096,
nova-lite at 10000, and the openrouter deepseek-r1 endpoint counts input and
output against one 64000 ceiling. All three name the real limit in the 400, so
parse it and retry once. Verified: nova-lite logs "64000 rejected, retrying with
10000" and then completes its tool call.

Also expose the budget in Settings. It is sent as a header rather than read from
env only, so desktop users can raise it themselves without an env file.

vercel.json goes back to the 300s it had before #238 traded it for $2-4/month.
That is now Vercel's own default, and billing pauses while the function waits on
the model, so the saving that motivated 120s no longer applies. edgeone.json is
left alone: its 120 may be that platform's actual ceiling.

* fix: only reinterpret an error as a budget rejection when it says so

Review of the first commit found the retry could fire on errors that have
nothing to do with the budget, which would replace a readable provider error
with a truncated response: exactly the symptom this PR exists to remove.

- Drop the generic "lower than N" pattern. For the Bedrock message it was dead
  code, since "model limit of N" matches first with the same number. Left live,
  it would read a number out of any message shaped like "must be lower than 2".
- Skip errors whose status is not 400 or 422, so auth and rate-limit failures
  are never reinterpreted.
- Require the parsed ceiling to be at least 1024. Below that a diagram cannot
  come out whole, so retrying would hide the error behind broken XML.
- Validate MAX_OUTPUT_TOKENS from env the same way as the header, so a stray
  "-1" falls back instead of reaching the provider.

Adds tests for the retry wrapper itself, which had none: it retries once with
the named ceiling, leaves a 401 alone, does not retry when the ceiling is not
smaller, propagates a second rejection, and preserves the other call options.

Re-verified against the live APIs: bedrock nova-lite still logs "64000 rejected,
retrying with 10000" and completes its tool call, and deepseek-v4-flash still
finishes normally at 64000.
2026-08-22 20:47:10 +09:00
nb213
12903cd516 docs: acknowledge Atlas Cloud sponsorship (#919)
* docs: acknowledge Atlas Cloud sponsorship

Signed-off-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com>

* docs: add Atlas Cloud logo assets

Signed-off-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com>

---------

Signed-off-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com>
Co-authored-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com>
2026-08-22 08:43:45 +09:00
Dayuan Jiang
96bca2b37b fix: always send maxOutputTokens; default 16000 (#915)
Unset does not mean the model's maximum — the provider fills in its own, and
Bedrock's is 4096 (measured: converse with no inferenceConfig on
us.anthropic.claude-opus-5 returns stopReason=max_tokens at exactly 4096).

A 30-cell diagram is ~3000 tokens of XML, so anything larger arrived as truncated
JSON and nothing reached the canvas. Small diagrams fitted, which made it look
intermittent.
2026-08-10 17:07:30 +09:00
NgoQuocViet2001
fd758b9e87 fix: preserve multi-page diagrams after export (#895)
* fix: preserve multi-page diagrams after export

* fix: keep chartXML sourced from autosave to preserve multi-page state

The export event's data.xml (xmlsvg format) contains compressed <diagram>
payloads, which would break applyDiagramOperations/replaceNodes consumers
that need plain <root> elements. Instead of writing export results into
chartXML, stop overwriting it entirely: autosave already delivers the full
uncompressed multi-page document, and loadDiagram covers AI-driven updates.

Also stop overwriting chartXMLRef with the page-only export before sending
a chat message, so session persistence never sees single-page XML.

Keep the data.xml preference for .drawio file downloads (compressed pages
are a valid drawio format).

---------

Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
2026-08-08 12:30:22 +09:00
Dayuan Jiang
81da9fad83 ci: exclude public/ from Biome and disable automerge for Biome updates (#912)
Biome 2.5.7 (auto-merged by Renovate in #904 with failing checks) started
parsing SVG files, breaking lint on generated assets in public/. Exclude
the whole public/ directory instead of just *.svg so future parser
changes can't hit generated files again.

Biome minor updates can also introduce new lint rules for source code,
so require manual review for its Renovate PRs instead of automerge.
2026-08-08 12:30:07 +09:00
Dayuan Jiang
6493652ff0 fix: prevent model selector label overflow (#910)
* fix: constrain model selector label width

* ci: ignore generated SVG assets in Biome
2026-08-08 10:31:46 +09:00
renovate[bot]
be8f26d6b1 fix(deps): update minor and patch dependencies (#904)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2026-08-07 00:40:42 +00:00
Kobi Hikri
cd02b2de92 ci: attach provenance and SBOM attestations to the published image (#902)
* ci: attach provenance and SBOM attestations to the published image

* ci: restore trailing newline at end of file
2026-08-06 11:03:08 +09:00
renovate[bot]
6e653942b0 chore(deps): update radix ui packages (#903)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
2026-08-01 09:06:40 +00:00
nb213
c8463aefa7 Add Atlas Cloud provider support (#896)
* Add Atlas Cloud provider support

* fix: restore files removed by Atlas provider PR

---------

Co-authored-by: binyangzhu000-sudo <224954946+binyangzhu000-sudo@users.noreply.github.com>
2026-07-30 23:27:18 +09:00
Dayuan Jiang
4b07228320 feat(mcp): add load_diagram tool to load .drawio files into the session (#893)
* feat(mcp): add load_diagram tool to load .drawio files into the session

Loading a file previously required the agent to read the file itself and
pass the entire XML through create_new_diagram - wasteful for large
diagrams and impossible for draw.io's compressed save format.

load_diagram takes a file path; the server reads it, decompresses any
compressed pages (base64 -> raw deflate -> URI-decode, per page), and
replaces the session document. The loaded XML is deliberately NOT marked
as seen by the edit gate: the model only supplied a path, so it must
call get_diagram once before editing.

* chore(mcp): version 0.2.3

* fix(mcp): report package.json version in the MCP handshake

The McpServer metadata version was a separate hardcoded string that
never matched the published version (stuck at 0.1.2, then 0.3.0 while
npm shipped 0.2.x). Read it from package.json at startup instead —
works from both src/ (tsx) and dist/ (published build).
2026-07-12 19:54:42 +09:00
NgoQuocViet2001
f3a85558d8 fix(mcp): replace edit_diagram 30s time gate with content comparison (#890)
* fix(mcp): keep diagram context valid during edits

Closes #885

* fix(mcp): replace edit_diagram time gate with content comparison

The 30s wall-clock gate rejected slow-but-correct clients (#885).
Instead of a timeout, remember the exact state-store XML the model
last saw (get_diagram / create_new_diagram / edit_diagram / page CRUD)
and reject edit_diagram only when the live browser state differs -
i.e. the user made edits the model hasn't seen yet. Slow reasoning
no longer trips the gate, while unseen manual edits still do.

* docs(mcp): align edit_diagram/get_diagram descriptions with content-based gate

The 'You MUST call get_diagram BEFORE this tool' requirement and the
'Skipping get_diagram WILL cause user's changes to be LOST' warning no
longer match server behavior: a stale edit is rejected with no side
effects, never silently applied. Describe the freshness check instead,
and direct get_diagram usage at its real purpose - learning the current
diagram content when the model doesn't already know it.

* fix(mcp): compare diagram content structurally in the edit gate

draw.io re-serialises the document when pushing state back (attribute
order, pretty-printing, regenerated diagram ids, viewport attributes,
mxfile host), so byte comparison could flag an unchanged diagram as
stale. Fingerprint what a user can actually change instead - page set,
page names, and each page's root cell tree with sorted attributes -
keeping byte equality as the fast path. A bare mxGraphModel now also
fingerprints identically to its single-page mxfile wrapping.

* fix(mcp): don't compare page names against bare mxGraphModel pushes

A bare <mxGraphModel> pushed by the embed/sync path carries no page name,
so normalizeToMxfile invents "Page-1" — falsely reading any custom page
name as a content change and re-triggering the stale rejection on every
edit. When either side of the gate comparison is a bare mxGraphModel,
fingerprint cell trees only; full-mxfile comparisons still detect renames.

* chore(mcp): bump version to 0.2.2

* chore(mcp): sync package-lock.json version to 0.2.2

---------

Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
2026-07-12 15:33:20 +09:00
Dayuan Jiang
4f09d9461a ci: auto-publish mcp-server to npm via OIDC trusted publishing (#891)
Publishes @next-ai-drawio/mcp-server when packages/mcp-server changes on
main and the package.json version isn't on npm yet. Uses npm trusted
publishing (OIDC) - no token secret, no OTP, works with the strictest
2FA setting.
2026-07-12 15:33:07 +09:00
CharlesJay01
4984be82a1 feat: add MiMo (Xiaomi) as AI provider (#887)
* feat: add MiMo (Xiaomi) as AI provider

* fix: correct MiMo default base URL, suggested models, and reasoning support

- Default base URL was the China Token Plan endpoint (tp- keys only);
  switch to https://api.xiaomimimo.com/v1 which works with standard
  pay-as-you-go sk- keys. Token Plan users can override in settings.
- Replace deprecated mimo-v2-flash suggestion with mimo-v2.5
  (v2 series was deprecated on 2026-06-30).
- Use createDeepSeek instead of createOpenAI so reasoning_content is
  passed back during multi-turn tool calls (MiMo returns 400 without
  it), matching the existing Kimi implementation.
- Add mimo to SINGLE_SYSTEM_PROVIDERS so system messages are merged.
- Fold validate-model case into the shared OpenAI-compatible group.
- Drop the Bot icon special case; models.dev serves a real xiaomi logo
  via PROVIDER_LOGO_MAP.
- Document MIMO_API_KEY/MIMO_BASE_URL in env.example and
  docs/{en,cn,ja}/ai-providers.md.

* feat: show base URL hint for MiMo in provider settings

MiMo has two endpoints tied to key type: pay-as-you-go keys (sk-...)
use the default api.xiaomimimo.com/v1, while Token Plan keys (tp-...)
require token-plan-cn.xiaomimimo.com/v1. Surface this under the Base
URL field like the existing MiniMax hint, in all four locales.

---------

Co-authored-by: mapengfei <mapengfei@srsj.com>
Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
2026-07-12 09:10:12 +09:00
Dayuan Jiang
5bfd7b2468 fix: SSRF in /api/parse-url via DNS bypass and redirects (#878)
* fix: resolve DNS before SSRF check and block redirects in parse-url

isPrivateUrl() did string-only hostname matching and never resolved DNS,
so a public-looking name that maps to an internal IP (e.g.
127-0-0-1.sslip.io -> 127.0.0.1) passed the check while fetch/extract
later resolved it and reached internal services (GHSA-wqcv-5qvx-vx75).

- isPrivateUrl is now async: it keeps the fast string/literal-IP path,
  then resolves the hostname via DNS and rejects if any address is private.
- parse-url now fetches the page itself with redirect: "error" and parses
  via extractFromHtml(), since article-extractor follows redirects
  internally and drops a redirect option, which allowed a public URL to
  302 to an internal host.
- Update validate-model call site to await; add regression tests.

* fix: preserve charset detection and block CGNAT range in parse-url SSRF fix

Follow-up to the multi-reviewer review of the SSRF fix:

- Restore charset handling lost when switching from extract() to
  response.text(): non-UTF-8 pages (Shift_JIS/GBK/EUC/Big5, common on CJK
  sites this project targets) decoded as mojibake. Now read the body as
  bytes, detect charset from Content-Type / <meta charset>, and decode
  with TextDecoder before extractFromHtml.
- Wrap extractFromHtml in try/catch: it throws (not returns null) on
  empty/non-HTML bodies, which previously surfaced as a 500 instead of the
  intended 400.
- Add 100.64.0.0/10 (RFC 6598 CGNAT) to isPrivateIp; it is routable inside
  some cloud internal networks and was a residual SSRF target.
- Add tests for CGNAT, its boundaries, 0.0.0.0, and DNS-resolved IPv6.
2026-06-28 12:41:29 +09:00
Dayuan Jiang
80baf43827 fix: remove name-based image-input detection (#874) (#877)
supportsImageInput() guessed multimodal capability from the model id
string. The heuristic misfired on newer models (e.g. kimi-k3.6, qwen36),
either wrongly rejecting images for capable models or letting them through.

The AI SDK does not emit a warning when an OpenAI-compatible endpoint
silently drops an image, so the guess was the only signal — but an
unreliable one. Drop the detection entirely and let the real provider
error surface instead (already translated to a friendly message in
chat-panel.tsx). Validation falls back to "valid" on any model error.

- Remove supportsImageInput() and its pre-send check in chat route
- Drop the vision-capability throw in getValidationModel()
- Remove the corresponding unit tests
2026-06-28 00:26:23 +09:00
45 changed files with 3636 additions and 2422 deletions

View File

@@ -33,6 +33,11 @@
"matchPackagePatterns": ["@ai-sdk/*", "ai", "next"],
"groupName": "Core framework packages",
"automerge": false
},
{
"matchPackageNames": ["@biomejs/biome"],
"groupName": "Biome",
"automerge": false
}
],
"vulnerabilityAlerts": {

View File

@@ -58,6 +58,8 @@ jobs:
with:
context: .
push: ${{ github.event_name != 'pull_request' }}
provenance: mode=max
sbom: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
@@ -89,4 +91,3 @@ jobs:
docker pull ghcr.io/${REPO_LOWER}:latest
docker tag ghcr.io/${REPO_LOWER}:latest ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest
docker push ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest

67
.github/workflows/publish-mcp.yml vendored Normal file
View File

@@ -0,0 +1,67 @@
name: Publish MCP Server
# Publishes @next-ai-drawio/mcp-server to npm via OIDC trusted publishing
# (no token, no OTP). Triggers when packages/mcp-server changes on main;
# skips silently if the package.json version is already on npm — so a
# release is just "bump the version in a PR and merge".
on:
push:
branches:
- main
paths:
- "packages/mcp-server/**"
workflow_dispatch:
permissions:
contents: read
id-token: write # OIDC token for npm trusted publishing
concurrency:
group: publish-mcp
cancel-in-progress: false
jobs:
publish:
runs-on: ubuntu-latest
defaults:
run:
working-directory: packages/mcp-server
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: 24
cache: "npm"
cache-dependency-path: packages/mcp-server/package-lock.json
registry-url: "https://registry.npmjs.org"
# Trusted publishing requires npm >= 11.5.1
- name: Update npm
run: npm install -g npm@latest
- name: Check if version is already published
id: version
run: |
LOCAL=$(node -p "require('./package.json').version")
if npm view "@next-ai-drawio/mcp-server@${LOCAL}" version >/dev/null 2>&1; then
echo "Version ${LOCAL} already on npm - nothing to publish"
echo "publish=false" >> "$GITHUB_OUTPUT"
else
echo "Version ${LOCAL} not on npm - publishing"
echo "publish=true" >> "$GITHUB_OUTPUT"
fi
- name: Install dependencies
if: steps.version.outputs.publish == 'true'
run: npm ci
- name: Test
if: steps.version.outputs.publish == 'true'
run: npm test
- name: Publish to npm
if: steps.version.outputs.publish == 'true'
run: npm publish

View File

@@ -21,6 +21,17 @@ A Next.js web application that integrates AI capabilities with draw.io diagrams.
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) sponsorship, the demo site now uses the powerful glm-4.7 model!
<p align="center">
<a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="./public/atlas-cloud-logo-white.svg">
<img src="./public/atlas-cloud-logo.svg" alt="Atlas Cloud" width="200">
</picture>
</a>
</p>
> 🎁 Thanks to **[Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io)** for sponsoring next-ai-draw-io. Its OpenAI-compatible API gives diagram workflows one provider connection for DeepSeek, Qwen, GLM, Kimi, MiniMax, and more. Budget-friendly access is available through the [Coding Plan](https://www.atlascloud.ai/console/coding-plan).
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
@@ -217,6 +228,7 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
- ModelScope
- SGLang
- Vercel AI Gateway
- [Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io)
All providers except AWS Bedrock and OpenRouter support custom endpoints.
@@ -253,6 +265,8 @@ Diagrams are represented as XML that can be rendered in draw.io. The AI processe
**Special thanks to [ByteDance Doubao](https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
**Special thanks to [Atlas Cloud](https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=next-ai-draw-io) for sponsoring next-ai-draw-io and supporting its multi-provider ecosystem!** Try its OpenAI-compatible LLM API through the [Atlas Cloud Coding Plan](https://www.atlascloud.ai/console/coding-plan).
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at:

View File

@@ -15,7 +15,6 @@ import { z } from "zod"
import {
getAIModel,
SINGLE_SYSTEM_PROVIDERS,
supportsImageInput,
supportsPromptCaching,
} from "@/lib/ai-providers"
import { findCachedResponse } from "@/lib/cached-responses"
@@ -35,11 +34,17 @@ import {
setTraceOutput,
wrapWithObserve,
} from "@/lib/langfuse"
import {
resolveMaxOutputTokens,
withOutputTokenLimitFallback,
} from "@/lib/output-token-limit"
import { findServerModelById } from "@/lib/server-model-config"
import { getSystemPrompt } from "@/lib/system-prompts"
import { getUserIdFromRequest } from "@/lib/user-id"
export const maxDuration = 120
// No explicit cap: a reasoning model can spend minutes planning before it emits
// the tool call, so take whatever the host allows. Vercel's own default is 300s,
// which is also where Node's response-body timeout on the upstream stream lands.
// Helper function to create cached stream response
function createCachedStreamResponse(xml: string): Response {
@@ -242,13 +247,22 @@ async function handleChatRequest(req: Request): Promise<Response> {
// Get AI model with optional client overrides
const {
model,
model: baseModel,
providerOptions,
headers,
modelId,
provider: resolvedProvider,
} = getAIModel(clientOverrides)
// Retry with a smaller budget if the provider rejects the requested one
const model = withOutputTokenLimitFallback(baseModel)
// User setting wins over server env, so desktop users can raise it themselves
const maxOutputTokens = resolveMaxOutputTokens(
req.headers.get("x-max-output-tokens"),
)
console.log(`[maxOutputTokens] ${maxOutputTokens}`)
// Check if model supports prompt caching
const shouldCache = supportsPromptCaching(modelId)
console.log(
@@ -266,16 +280,10 @@ async function handleChatRequest(req: Request): Promise<Response> {
lastUserMessage?.parts?.filter((part: any) => part.type === "file") ||
[]
// Check if user is sending images to a model that doesn't support them
// AI SDK silently drops unsupported parts, so we need to catch this early
if (fileParts.length > 0 && !supportsImageInput(modelId)) {
return Response.json(
{
error: `The model "${modelId}" does not support image input. Please use a vision-capable model (e.g., GPT-4o, Claude, Gemini) or remove the image.`,
},
{ status: 400 },
)
}
// Note: we used to pre-emptively reject images for models we guessed were
// text-only (by name matching). That heuristic misfired on newer models
// (see issue #874), so we now let the request through and surface the real
// provider error if the model genuinely can't accept images.
// User input only - XML is now in a separate cached system message
const formattedUserInput = `User input:
@@ -500,9 +508,9 @@ IMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on
const result = streamText({
model,
abortSignal: req.signal,
...(process.env.MAX_OUTPUT_TOKENS && {
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
}),
// Must be sent: unset means the provider's own default, and Bedrock's is
// 4096, enough for a small diagram, so larger ones were cut off mid-attribute.
maxOutputTokens,
stopWhen: stepCountIs(5),
// Repair truncated tool calls when maxOutputTokens is reached mid-JSON
experimental_repairToolCall: async ({ toolCall, error }) => {

View File

@@ -1,4 +1,4 @@
import { extract } from "@extractus/article-extractor"
import { extractFromHtml } from "@extractus/article-extractor"
import { NextResponse } from "next/server"
import TurndownService from "turndown"
import { isPrivateUrl } from "@/lib/ssrf-protection"
@@ -7,6 +7,31 @@ const MAX_CONTENT_LENGTH = 150000 // Match PDF limit
const EXTRACT_TIMEOUT_MS = 15000
const USER_AGENT = "Mozilla/5.0 (compatible; NextAIDrawio/1.0)"
// Detect the page's charset so non-UTF-8 pages (Shift_JIS/GBK/EUC/Big5, common
// on CJK sites) are decoded correctly. Response.text() always assumes UTF-8 and
// would produce mojibake; the article-extractor library does the same detection
// when it fetches the page itself, which we no longer rely on.
function detectCharset(
contentType: string | null,
buffer: ArrayBuffer,
): string {
// 1. HTTP Content-Type header charset (most authoritative).
const headerCharset = contentType?.match(/charset=([^;]+)/i)?.[1]?.trim()
// 2. <meta charset> / <meta http-equiv> in the first bytes of the document.
const head = new TextDecoder("utf-8").decode(buffer.slice(0, 4096))
const metaCharset =
head.match(/<meta[^>]+charset=["']?\s*([\w-]+)/i)?.[1] ||
head.match(/<meta[^>]+content=["'][^"']*charset=([\w-]+)/i)?.[1]
const charset = (headerCharset || metaCharset || "utf-8").toLowerCase()
// TextDecoder throws on unknown encoding labels; fall back to UTF-8.
try {
new TextDecoder(charset)
return charset
} catch {
return "utf-8"
}
}
export async function POST(req: Request) {
try {
const { url } = await req.json()
@@ -31,21 +56,31 @@ export async function POST(req: Request) {
// SSRF protection: parse-url has no use case for fetching internal
// hosts, so private URLs are always rejected. ALLOW_PRIVATE_URLS only
// governs LLM provider baseUrl overrides (validate-model, chat).
if (isPrivateUrl(url)) {
if (await isPrivateUrl(url)) {
return NextResponse.json(
{ error: "Cannot access private/internal URLs" },
{ status: 400 },
)
}
const headController = new AbortController()
const headTimeout = setTimeout(() => headController.abort(), 3000)
// Fetch the page ourselves so we control redirect handling. The
// article-extractor library follows redirects internally and ignores a
// `redirect` option, which would let a public URL 302 to an internal
// host and bypass the SSRF check above. `redirect: "error"` rejects any
// redirect outright.
const controller = new AbortController()
const timeoutId = setTimeout(() => {
controller.abort()
}, EXTRACT_TIMEOUT_MS)
let html: string
try {
const headResponse = await fetch(url, {
method: "HEAD",
const response = await fetch(url, {
headers: { "User-Agent": USER_AGENT },
signal: headController.signal,
redirect: "error",
signal: controller.signal,
})
const contentType = headResponse.headers.get("content-type")
const contentType = response.headers.get("content-type")
if (contentType?.includes("application/pdf")) {
return NextResponse.json(
{
@@ -54,27 +89,17 @@ export async function POST(req: Request) {
{ status: 422 },
)
}
} catch (err) {
console.warn(
"HEAD pre-check failed, proceeding with extraction:",
err,
)
} finally {
clearTimeout(headTimeout)
}
// Extract article content with timeout to avoid tying up server resources
const controller = new AbortController()
const timeoutId = setTimeout(() => {
controller.abort()
}, EXTRACT_TIMEOUT_MS)
if (!response.ok) {
return NextResponse.json(
{ error: "Could not fetch URL content" },
{ status: 400 },
)
}
let article
try {
article = await extract(url, undefined, {
headers: { "User-Agent": USER_AGENT },
signal: controller.signal,
})
const buffer = await response.arrayBuffer()
const charset = detectCharset(contentType, buffer)
html = new TextDecoder(charset).decode(buffer)
} catch (err: any) {
if (err?.name === "AbortError") {
return NextResponse.json(
@@ -82,11 +107,25 @@ export async function POST(req: Request) {
{ status: 504 },
)
}
throw err
// Redirects are rejected with a TypeError ("failed to fetch" /
// "unexpected redirect") when redirect: "error" is set.
return NextResponse.json(
{ error: "Could not fetch URL content" },
{ status: 400 },
)
} finally {
clearTimeout(timeoutId)
}
// extractFromHtml throws (not returns null) on empty/non-HTML bodies,
// so map any parse error to the same 400 as the no-content case.
let article: Awaited<ReturnType<typeof extractFromHtml>>
try {
article = await extractFromHtml(html, url)
} catch {
article = null
}
if (!article || !article.content) {
return NextResponse.json(
{ error: "Could not extract content from URL" },

View File

@@ -56,7 +56,7 @@ export async function POST(req: Request) {
}
// SECURITY: Block SSRF attacks via custom baseUrl
if (baseUrl && !allowPrivateUrls() && isPrivateUrl(baseUrl)) {
if (baseUrl && !allowPrivateUrls() && (await isPrivateUrl(baseUrl))) {
return NextResponse.json(
{ valid: false, error: "Invalid base URL" },
{ status: 400 },
@@ -372,12 +372,14 @@ export async function POST(req: Request) {
break
}
// GLM, Qwen, Kimi, Qiniu, Novita - OpenAI compatible
// GLM, Qwen, Kimi, Qiniu, Novita, MiMo, Atlas Cloud - OpenAI compatible
case "glm":
case "qwen":
case "kimi":
case "qiniu":
case "novita": {
case "novita":
case "atlascloud":
case "mimo": {
const baseURL =
baseUrl ||
PROVIDER_INFO[provider as ProviderName]?.defaultBaseUrl ||

View File

@@ -6,7 +6,8 @@
"useIgnoreFile": true
},
"files": {
"ignoreUnknown": false
"ignoreUnknown": false,
"includes": ["**", "!public"]
},
"formatter": {
"enabled": true,

View File

@@ -178,6 +178,7 @@ export default function ChatPanel({
const [minimalStyle, setMinimalStyle] = useState(false)
const [vlmValidationEnabled, setVlmValidationEnabled] = useState(false)
const [customSystemMessage, setCustomSystemMessage] = useState("")
const [maxOutputTokens, setMaxOutputTokens] = useState("")
const [shouldFocusInput, setShouldFocusInput] = useState(false)
// Restore input from sessionStorage on mount (when ChatPanel remounts due to key change)
@@ -204,6 +205,14 @@ export default function ChatPanel({
}
}, [])
// Load output token budget from localStorage on mount
useEffect(() => {
const stored = localStorage.getItem(STORAGE_KEYS.maxOutputTokens)
if (stored !== null) {
setMaxOutputTokens(stored)
}
}, [])
// Check config on mount
useEffect(() => {
fetch(getApiEndpoint("/api/config"))
@@ -320,6 +329,13 @@ export default function ChatPanel({
localStorage.setItem(STORAGE_KEYS.customSystemMessage, value)
}, [])
// Handler for output token budget change (empty string = use server default)
const handleMaxOutputTokensChange = useCallback((value: string) => {
const digitsOnly = value.replace(/\D/g, "")
setMaxOutputTokens(digitsOnly)
localStorage.setItem(STORAGE_KEYS.maxOutputTokens, digitsOnly)
}, [])
// Ref to store the sendMessage function for use in callbacks
const sendMessageRef = useRef<typeof sendMessage | null>(null)
@@ -830,10 +846,6 @@ export default function ChatPanel({
let chartXml = await onFetchChart()
chartXml = formatXML(chartXml)
// Update ref directly to avoid race condition with React's async state update
// This ensures edit_diagram has the correct XML before AI responds
chartXMLRef.current = chartXml
// Build user text by concatenating input with pre-extracted text
// (Backend only reads first text part, so we must combine them)
const parts: any[] = []
@@ -1108,6 +1120,9 @@ export default function ChatPanel({
...(minimalStyle && {
"x-minimal-style": "true",
}),
...(maxOutputTokens && {
"x-max-output-tokens": maxOutputTokens,
}),
},
},
)
@@ -1452,6 +1467,8 @@ export default function ChatPanel({
onVlmValidationChange={handleVlmValidationChange}
customSystemMessage={customSystemMessage}
onCustomSystemMessageChange={handleCustomSystemMessageChange}
maxOutputTokens={maxOutputTokens}
onMaxOutputTokensChange={handleMaxOutputTokensChange}
onOpenModelConfig={() => setShowModelConfigDialog(true)}
/>

View File

@@ -158,7 +158,7 @@ export function ModelSelector({
}, [])
return (
<div ref={wrapperRef} className="inline-block">
<div ref={wrapperRef} className="min-w-0 max-w-48">
<ModelSelectorRoot open={open} onOpenChange={setOpen}>
<ModelSelectorTrigger asChild>
<ButtonWithTooltip
@@ -167,7 +167,7 @@ export function ModelSelector({
size="sm"
disabled={disabled}
className={cn(
"hover:bg-accent gap-1.5 h-8 px-2 transition-[padding,background-color] duration-150 ease-in-out",
"h-8 min-w-0 max-w-full shrink overflow-hidden gap-1.5 px-2 transition-[padding,background-color] duration-150 ease-in-out hover:bg-accent",
!showLabel && "px-1.5 justify-center",
)}
// accessibility: expose label to screen readers
@@ -176,7 +176,7 @@ export function ModelSelector({
<Bot className="h-4 w-4 flex-shrink-0 text-muted-foreground" />
{/* show/hide visible label based on measured width */}
{showLabel ? (
<span className="text-xs truncate">
<span className="min-w-0 truncate text-xs">
{selectedModel
? selectedModel.modelId
: dict.modelConfig.default}

View File

@@ -249,6 +249,11 @@ export function ProviderCredentialsFields({
{dict.modelConfig.minimaxBaseUrlHint}
</p>
)}
{provider === "mimo" && (
<p className="text-xs text-muted-foreground">
{dict.modelConfig.mimoBaseUrlHint}
</p>
)}
</div>
</>
)}

View File

@@ -75,6 +75,8 @@ interface SettingsDialogProps {
onOpenModelConfig?: () => void
customSystemMessage?: string
onCustomSystemMessageChange?: (value: string) => void
maxOutputTokens?: string
onMaxOutputTokensChange?: (value: string) => void
}
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
@@ -101,6 +103,8 @@ function SettingsContent({
onOpenModelConfig,
customSystemMessage = "",
onCustomSystemMessageChange = () => {},
maxOutputTokens = "",
onMaxOutputTokensChange = () => {},
}: SettingsDialogProps) {
const dict = useDictionary()
const router = useRouter()
@@ -591,6 +595,24 @@ function SettingsContent({
/>
</div>
{/* Max Output Tokens */}
<SettingItem
label={dict.settings.maxOutputTokens}
description={dict.settings.maxOutputTokensDescription}
>
<Input
id="max-output-tokens"
type="text"
inputMode="numeric"
value={maxOutputTokens}
onChange={(e) =>
onMaxOutputTokensChange(e.target.value)
}
placeholder="64000"
className="h-9 w-28 text-sm"
/>
</SettingItem>
{/* Send Shortcut */}
<SettingItem
label={dict.settings.sendShortcut}

View File

@@ -2,7 +2,7 @@
import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react"
import type { DrawIoEmbedRef } from "react-drawio"
import type { DrawIoEmbedRef, EventExport } from "react-drawio"
import { toast } from "sonner"
import type { ExportFormat } from "@/components/save-dialog"
import { getApiEndpoint } from "@/lib/base-path"
@@ -22,7 +22,7 @@ interface DiagramContextType {
handleExportWithoutHistory: () => void
resolverRef: React.MutableRefObject<((value: string) => void) | null>
drawioRef: React.MutableRefObject<DrawIoEmbedRef | null>
handleDiagramExport: (data: any) => void
handleDiagramExport: (data: EventExport) => void
handleDiagramAutoSave: (data: { xml?: string }) => void
clearDiagram: () => void
saveDiagramToFile: (
@@ -83,7 +83,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
// Track if we're expecting an export for file save (stores raw export data)
const saveResolverRef = useRef<{
resolver: ((data: string) => void) | null
resolver: ((data: string, fullDiagramXML?: string) => void) | null
format: ExportFormat | null
}>({ resolver: null, format: null })
@@ -204,7 +204,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
return null
}
const handleDiagramExport = (data: any) => {
const handleDiagramExport = (data: EventExport) => {
// Handle PNG export for VLM validation
if (pngResolverRef.current && data.data?.startsWith("data:image/png")) {
pngResolverRef.current(data.data)
@@ -215,7 +215,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
// Handle save to file if requested (process raw data before extraction)
if (saveResolverRef.current.resolver) {
const format = saveResolverRef.current.format
saveResolverRef.current.resolver(data.data)
saveResolverRef.current.resolver(data.data, data.xml)
saveResolverRef.current = { resolver: null, format: null }
// For non-xmlsvg formats, skip XML extraction as it will fail
// Only drawio (which uses xmlsvg internally) has the content attribute
@@ -225,8 +225,11 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
}
}
// Don't write chartXML here: exports don't change the diagram, and
// data.xml from xmlsvg exports has compressed <diagram> payloads that
// would break edit_diagram/display_diagram. Autosave keeps chartXML
// up to date with the full uncompressed multi-page document (#879).
const extractedXML = extractDiagramXML(data.data)
setChartXML(extractedXML)
setLatestSvg(data.data)
// Only add to history if this was a user-initiated export
@@ -288,14 +291,16 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
// Set up the resolver before triggering export
saveResolverRef.current = {
resolver: (exportData: string) => {
resolver: (exportData: string, fullDiagramXML?: string) => {
let fileContent: string | Blob
let mimeType: string
let extension: string
if (format === "drawio") {
// Extract XML from SVG for .drawio format
const xml = extractDiagramXML(exportData)
// Prefer the complete document from the export event so all pages are saved.
const xml = fullDiagramXML?.trim()
? fullDiagramXML
: extractDiagramXML(exportData)
let xmlContent = xml
if (!xml.includes("<mxfile")) {
xmlContent = `<mxfile><diagram name="Page-1" id="page-1">${xml}</diagram></mxfile>`

View File

@@ -308,6 +308,19 @@ AI_MODEL=your_model_id
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (小米)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
可选的自定义端点Token Plan 订阅用户请设置专属 Base URL
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## 自动检测
如果您只配置了**一个**提供商的 API 密钥,系统将自动检测并使用该提供商。无需设置 `AI_PROVIDER`
@@ -315,7 +328,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
如果您配置了**多个** API 密钥,则必须显式设置 `AI_PROVIDER`
```bash
AI_PROVIDER=google # 或openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # 或openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## 服务端多模型配置

View File

@@ -323,6 +323,19 @@ Optional custom endpoint:
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (Xiaomi)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
Optional custom endpoint (Token Plan subscribers should set their dedicated Base URL):
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## Auto-Detection
If you only configure **one** provider's API key, the system will automatically detect and use that provider. No need to set `AI_PROVIDER`.
@@ -330,7 +343,7 @@ If you only configure **one** provider's API key, the system will automatically
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # or: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## Server-Side Multi-Model Configuration

View File

@@ -308,6 +308,19 @@ AI_MODEL=your_model_id
QINIU_BASE_URL=https://your-custom-endpoint
```
### MiMo (Xiaomi)
```bash
MIMO_API_KEY=your_api_key
AI_MODEL=mimo-v2.5-pro
```
オプションのカスタムエンドポイントToken Plan 加入者は専用の Base URL を設定してください):
```bash
MIMO_BASE_URL=https://token-plan-cn.xiaomimimo.com/v1
```
## 自動検出
**1つ**のプロバイダーの API キーのみを設定した場合、システムはそのプロバイダーを自動的に検出して使用します。`AI_PROVIDER` を設定する必要はありません。
@@ -315,7 +328,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
**複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:
```bash
AI_PROVIDER=google # または: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
AI_PROVIDER=google # または: openai, anthropic, aihubmix, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu, mimo
```
## サーバーサイドマルチモデル設定

View File

@@ -11,6 +11,11 @@ AI_PROVIDER=bedrock
# Example: AI_MODEL=doubao-seed-1-8-251215,doubao-seed-1-6-flash,doubao-seed-1-6-pro
AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# Output limit, all providers (default: 64000). Shared by reasoning and the diagram XML,
# so a thinking model can spend it all before the tool call. Users can override it in Settings.
# If a model's own ceiling is lower, the request is retried with that ceiling automatically.
# MAX_OUTPUT_TOKENS=64000
# AWS Bedrock Configuration
# AWS_REGION=us-east-1
# AWS_ACCESS_KEY_ID=your-access-key-id
@@ -189,3 +194,13 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
# Get your API key from: https://novita.ai/dashboard/key
# NOVITA_API_KEY=your_novita_api_key
# NOVITA_BASE_URL=https://api.novita.ai/openai # Optional, default
# MiMo (Xiaomi) Configuration (Optional)
# Get your API key from: https://platform.xiaomimimo.com/
# MIMO_API_KEY=your_mimo_api_key
# MIMO_BASE_URL=https://api.xiaomimimo.com/v1 # Optional, default. Token Plan users: https://token-plan-cn.xiaomimimo.com/v1
# Atlas Cloud Configuration (Optional)
# Get your API key from: https://www.atlascloud.ai/console/api-keys
# ATLASCLOUD_API_KEY=your_atlascloud_api_key
# ATLASCLOUD_BASE_URL=https://api.atlascloud.ai/v1 # Optional, default. LLM chat endpoint; media generation uses a separate API.

View File

@@ -32,6 +32,7 @@ export const SINGLE_SYSTEM_PROVIDERS = new Set<ProviderName>([
"kimi",
"qiniu",
"novita",
"mimo",
])
/**
@@ -116,6 +117,8 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
"kimi",
"minimax",
"novita",
"mimo",
"atlascloud",
]
// Bedrock provider options for Anthropic beta features
@@ -540,7 +543,9 @@ function buildProviderOptions(
case "qwen":
case "kimi":
case "qiniu":
case "novita": {
case "novita":
case "atlascloud":
case "mimo": {
// These providers don't have reasoning configs in AI SDK yet
// Gateway passes through to underlying providers which handle their own configs
break
@@ -577,6 +582,8 @@ export const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
kimi: "KIMI_API_KEY",
minimax: "MINIMAX_API_KEY",
novita: "NOVITA_API_KEY",
mimo: "MIMO_API_KEY",
atlascloud: "ATLASCLOUD_API_KEY",
}
/**
@@ -1346,10 +1353,28 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
break
}
case "mimo": {
const apiKey = resolveApiKey(overrides, "MIMO_API_KEY")
const baseURL = resolveBaseURL(
overrides?.apiKey,
overrides?.baseUrl,
resolveBaseUrlEnv(overrides, "MIMO_BASE_URL"),
PROVIDER_INFO.mimo?.defaultBaseUrl,
)
// Use createDeepSeek to properly handle reasoning_content for MiMo
// thinking models (e.g., mimo-v2.5-pro). MiMo's API requires
// reasoning_content to be passed back during multi-turn tool calls
// (returns 400 otherwise), same convention as DeepSeek and Kimi.
const mimoProvider = createDeepSeek({ apiKey, baseURL })
model = mimoProvider(modelId)
break
}
case "glm":
case "qwen":
case "qiniu":
case "novita": {
case "novita":
case "atlascloud": {
const envVar = PROVIDER_ENV_VARS[provider]
if (!envVar) {
throw new Error(
@@ -1393,7 +1418,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
default:
throw new Error(
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, aihubmix, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax, novita`,
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, aihubmix, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax, novita, mimo, atlascloud`,
)
}
@@ -1419,77 +1444,14 @@ export function supportsPromptCaching(modelId: string): boolean {
)
}
/**
* Check if a model supports image/vision input.
* Some models silently drop image parts without error (AI SDK warning only).
*/
export function supportsImageInput(modelId: string): boolean {
const lowerModelId = modelId.toLowerCase()
// Helper to check if model has vision capability indicator
const hasVisionIndicator =
lowerModelId.includes("vision") || lowerModelId.includes("vl")
// Models that DON'T support image/vision input (unless vision variant)
// Kimi K2 doesn't support images, but K2.5 does
// Only block kimi-k2 specifically, not other Kimi models
if (
(lowerModelId.includes("kimi-k2") ||
lowerModelId.includes("kimi_k2")) &&
!hasVisionIndicator &&
!lowerModelId.includes("2.5") &&
!lowerModelId.includes("k2.5")
) {
return false
}
// Moonshot text models (moonshot-v1 series are text-only)
if (lowerModelId.includes("moonshot-v1") && !hasVisionIndicator) {
return false
}
// MiniMax text models (MiniMax-M2.x series are text-only; M3 supports image input)
if (
lowerModelId.includes("minimax") &&
!hasVisionIndicator &&
!lowerModelId.includes("m3")
) {
return false
}
// DeepSeek text models (not vision variants)
if (lowerModelId.includes("deepseek") && !hasVisionIndicator) {
return false
}
// Qwen text models (not vision variants like qwen-vl)
// Qwen3.5 series (qwen3.5, qwen3.5-plus, qwen3.5-flash) natively support image input
// QvQ (Qwen Visual QA) models are vision models — exclude them even when prefixed with "qwen/"
if (
lowerModelId.includes("qwen") &&
!hasVisionIndicator &&
!lowerModelId.includes("qwen3.5") &&
!lowerModelId.includes("qvq")
) {
return false
}
// GLM text models (not vision variants)
// GLM vision models: glm-4v, glm-4v-9b, glm-4.1v-9b-thinking
if (lowerModelId.includes("glm") && !hasVisionIndicator) {
if (!/[\d.]v/.test(lowerModelId)) {
return false
}
}
// Default: assume model supports images
return true
}
/**
* Get the AI model for diagram validation.
* Uses VALIDATION_MODEL env var if set, otherwise falls back to AI_MODEL.
* Throws if the model doesn't support image input.
*
* Note: we no longer guess whether the model supports image input from its
* name — that heuristic misfired on newer models (see issue #874). If a
* configured validation model can't handle images, the API call simply errors
* and the validate-diagram route falls back to "valid".
*/
export function getValidationModel(): ReturnType<typeof getAIModel>["model"] {
// AI_MODEL may be comma-separated (multi-model fallback); pick the first.
@@ -1502,12 +1464,6 @@ export function getValidationModel(): ReturnType<typeof getAIModel>["model"] {
)
}
if (!supportsImageInput(modelId)) {
throw new Error(
`Validation requires a vision-capable model. Model "${modelId}" does not support image input.`,
)
}
const { model } = getAIModel({ modelId })
return model
}

View File

@@ -34,7 +34,8 @@
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"qiniu": "Qiniu",
"mimo": "MiMo (Xiaomi)"
},
"chat": {
"placeholder": "Describe your diagram or upload a file...",
@@ -131,6 +132,8 @@
"customSystemMessage": "Custom System Message",
"customSystemMessageDescription": "Add custom instructions appended to the AI's system prompt.",
"customSystemMessagePlaceholder": "e.g., Always use blue color scheme for diagrams...",
"maxOutputTokens": "Max Output Tokens",
"maxOutputTokensDescription": "Budget for one reply, shared by thinking and the diagram XML. Raise it if the AI keeps thinking and no diagram appears. Leave empty for the default.",
"panelVisibility": "Lobby Panels",
"panelVisibilityDescription": "Choose which panels to show on the chat lobby.",
"showRecentChats": "Recent Chats",
@@ -371,6 +374,7 @@
"baseUrlWithExample": "Base URL (optional, e.g. {example})",
"customEndpoint": "Custom endpoint URL",
"minimaxBaseUrlHint": "Use /anthropic for Anthropic-compatible API (recommended), or /v1 for OpenAI-compatible API",
"mimoBaseUrlHint": "Default works with pay-as-you-go keys (sk-...). Token Plan subscribers (tp-... keys) must set https://token-plan-cn.xiaomimimo.com/v1",
"models": "Models",
"customModelId": "Custom model ID...",
"allAdded": "All added",

View File

@@ -34,7 +34,8 @@
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"qiniu": "Qiniu",
"mimo": "MiMo (Xiaomi)"
},
"chat": {
"placeholder": "ダイアグラムを説明するか、ファイルをアップロード...",
@@ -131,6 +132,8 @@
"customSystemMessage": "カスタムシステムメッセージ",
"customSystemMessageDescription": "AIのシステムプロンプトに追加されるカスタム指示を入力します。",
"customSystemMessagePlaceholder": "例:ダイアグラムには常に青色のカラースキームを使用...",
"maxOutputTokens": "最大出力トークン数",
"maxOutputTokensDescription": "1回の応答の予算で、思考過程とダイアグラムの XML が共有します。AI が考え続けてダイアグラムが生成されない場合は大きくしてください。空欄ならデフォルト値を使います。",
"panelVisibility": "ロビーパネル",
"panelVisibilityDescription": "チャットロビーに表示するパネルを選択します。",
"showRecentChats": "最近のチャット",
@@ -325,6 +328,7 @@
"baseUrlWithExample": "ベース URLオプション、例: {example}",
"customEndpoint": "カスタムエンドポイント URL",
"minimaxBaseUrlHint": "/anthropic で Anthropic 互換 API推奨、または /v1 で OpenAI 互換 API を使用",
"mimoBaseUrlHint": "デフォルトは従量課金キーsk-...用です。Token Plan 加入者tp-... キー)は https://token-plan-cn.xiaomimimo.com/v1 を設定してください",
"models": "モデル",
"customModelId": "カスタムモデル ID...",
"allAdded": "すべて追加済み",

View File

@@ -34,7 +34,8 @@
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"qiniu": "Qiniu",
"mimo": "MiMo (小米)"
},
"chat": {
"placeholder": "描述您的圖表或上傳檔案...",
@@ -131,6 +132,8 @@
"customSystemMessage": "自訂系統訊息",
"customSystemMessageDescription": "新增自訂指示,將附加到 AI 的系統提示末尾。",
"customSystemMessagePlaceholder": "例如:圖表始終使用藍色配色方案...",
"maxOutputTokens": "最大輸出 token 數",
"maxOutputTokensDescription": "單次回覆的額度,思考過程與圖表 XML 共用。若 AI 一直在思考卻沒有產生圖表,請將它調大。留空則使用預設值。",
"panelVisibility": "大廳面板",
"panelVisibilityDescription": "選擇在聊天大廳顯示哪些面板。",
"showRecentChats": "最近聊天",
@@ -371,6 +374,7 @@
"baseUrlWithExample": "基礎 URL可選例如 {example}",
"customEndpoint": "自訂端點 URL",
"minimaxBaseUrlHint": "使用 /anthropic 端點為 Anthropic 相容 API推薦或使用 /v1 端點為 OpenAI 相容 API",
"mimoBaseUrlHint": "預設地址適用於按量付費金鑰sk-...。Token Plan 訂閱用戶tp-... 金鑰)請設定為 https://token-plan-cn.xiaomimimo.com/v1",
"models": "模型",
"customModelId": "自訂模型 ID...",
"allAdded": "已全部新增",

View File

@@ -34,7 +34,8 @@
"glm": "GLM",
"qwen": "Qwen",
"kimi": "Kimi",
"qiniu": "Qiniu"
"qiniu": "Qiniu",
"mimo": "MiMo (小米)"
},
"chat": {
"placeholder": "描述您的图表或上传文件...",
@@ -131,6 +132,8 @@
"customSystemMessage": "自定义系统消息",
"customSystemMessageDescription": "添加自定义指令,将附加到 AI 的系统提示末尾。",
"customSystemMessagePlaceholder": "例如:图表始终使用蓝色配色方案...",
"maxOutputTokens": "最大输出 token 数",
"maxOutputTokensDescription": "单次回复的额度,思考过程和图表 XML 共用。如果 AI 一直在思考却没有生成图表,请把它调大。留空则使用默认值。",
"panelVisibility": "大厅面板",
"panelVisibilityDescription": "选择在聊天大厅显示哪些面板。",
"showRecentChats": "最近聊天",
@@ -371,6 +374,7 @@
"baseUrlWithExample": "基础 URL可选例如 {example}",
"customEndpoint": "自定义端点 URL",
"minimaxBaseUrlHint": "使用 /anthropic 端点为 Anthropic 兼容 API推荐或使用 /v1 端点为 OpenAI 兼容 API",
"mimoBaseUrlHint": "默认地址适用于按量付费密钥sk-...。Token Plan 订阅用户tp-... 密钥)请设置为 https://token-plan-cn.xiaomimimo.com/v1",
"models": "模型",
"customModelId": "自定义模型 ID...",
"allAdded": "已全部添加",

145
lib/output-token-limit.ts Normal file
View File

@@ -0,0 +1,145 @@
import { wrapLanguageModel } from "ai"
type WrappedModel = ReturnType<typeof wrapLanguageModel>
/**
* Default output budget for a chat turn.
*
* This has to cover thinking + prose + the tool call, because reasoning models
* spend it in that order. Measured on deepseek-v4-flash: refining an existing
* diagram burned 16000 tokens on thinking alone and the request ended with
* finishReason "length" before display_diagram was ever called (issue #924).
* 64000 leaves room for the plan and the XML in one turn.
*/
export const DEFAULT_MAX_OUTPUT_TOKENS = 64000
/** Ceiling for the user-supplied override, to catch typos like an extra zero. */
export const MAX_OUTPUT_TOKENS_LIMIT = 200000
/**
* Below this a diagram cannot come out whole, so a retry would just produce
* truncated XML instead of the provider's error. Better to surface the error.
*/
const MIN_USABLE_OUTPUT_TOKENS = 1024
/** Status codes that can carry a complaint about the requested budget. */
const BUDGET_REJECTION_STATUSES = new Set([400, 422])
function usableLimit(value: number): number | null {
return value >= MIN_USABLE_OUTPUT_TOKENS ? value : null
}
/**
* A budget this large exceeds what some models accept. Providers reject it with a
* 400 that names the real limit, so we parse the number out and retry once
* instead of failing the turn.
*
* Formats seen in the wild:
* - Bedrock: "The maximum tokens you requested exceeds the model limit of 4096."
* - OpenRouter: "This endpoint's maximum context length is 64000 tokens. However,
* you requested about 64025 tokens (25 of text input, 64000 in the output)."
* Note this one is an input+output ceiling, so the input has to be subtracted.
* - Anthropic: "max_tokens: 200000 > 64000, which is the maximum allowed..."
* - OpenAI: "This model supports at most 16384 completion tokens"
*
* Every pattern names tokens explicitly. A generic one (an earlier draft matched
* "lower than N") would reinterpret unrelated failures, and retrying on a bogus
* number turns a readable error into an empty diagram.
*/
export function parseOutputTokenLimit(error: unknown): number | null {
const err = error as {
message?: unknown
responseBody?: unknown
statusCode?: unknown
}
// An auth or rate-limit failure is not about the budget, so leave it alone.
if (
typeof err?.statusCode === "number" &&
!BUDGET_REJECTION_STATUSES.has(err.statusCode)
) {
return null
}
const text = [
typeof err?.message === "string" ? err.message : "",
typeof err?.responseBody === "string" ? err.responseBody : "",
].join(" ")
if (!text) return null
// Combined input+output ceiling: subtract the input the provider counted,
// plus a small margin because its estimate is approximate.
const context = text.match(/maximum context length is (\d+)/i)
if (context) {
const input = text.match(/(\d+) of text input/i)
return usableLimit(
Number(context[1]) - (input ? Number(input[1]) : 0) - 1024,
)
}
const output =
text.match(/model limit of (\d+)/i) ||
text.match(/> (\d+), which is the maximum/i) ||
text.match(/at most (\d+) completion tokens/i)
return output ? usableLimit(Number(output[1])) : null
}
/**
* Retry the stream once with a smaller budget when the provider rejects the
* requested one. Without this, raising the default breaks every model whose
* ceiling is below it (measured: bedrock claude-3-haiku 4096, nova-lite 10000,
* openrouter deepseek-r1 64000 shared with the input).
*/
export function withOutputTokenLimitFallback(
model: WrappedModel,
): WrappedModel {
return wrapLanguageModel({
model,
middleware: {
specificationVersion: "v3",
async wrapStream({ doStream, params, model: inner }) {
try {
return await doStream()
} catch (error) {
const limit = parseOutputTokenLimit(error)
const requested = params.maxOutputTokens
if (!limit || !requested || limit >= requested) throw error
console.warn(
`[maxOutputTokens] ${requested} rejected, retrying with ${limit}`,
)
return await inner.doStream({
...params,
maxOutputTokens: limit,
})
}
},
},
})
}
function validBudget(value: string | null | undefined): number | null {
const parsed = Number(value)
return Number.isInteger(parsed) &&
parsed > 0 &&
parsed <= MAX_OUTPUT_TOKENS_LIMIT
? parsed
: null
}
/**
* Resolve the output budget: user setting (sent as a header so it works in the
* desktop app too), then server env, then the default. Both sources go through
* the same validation, so a typo in either falls back instead of reaching the
* provider.
*/
export function resolveMaxOutputTokens(headerValue: string | null): number {
return (
validBudget(headerValue) ??
validBudget(process.env.MAX_OUTPUT_TOKENS) ??
DEFAULT_MAX_OUTPUT_TOKENS
)
}

View File

@@ -2,80 +2,108 @@
* SSRF (Server-Side Request Forgery) protection utilities
*/
import { lookup } from "node:dns/promises"
/**
* Check if URL points to private/internal network
* Blocks: localhost, private IPs, link-local, AWS metadata service
* Check if an IP address (IPv4 or IPv6) belongs to a private/internal range.
* Works for both user-supplied literal IPs and DNS-resolved addresses.
*/
export function isPrivateUrl(urlString: string): boolean {
function isPrivateIp(ip: string): boolean {
const addr = ip.toLowerCase().replace(/^\[|\]$/g, "")
// IPv6
if (addr.includes(":")) {
if (addr === "::1" || addr === "::") return true
// unique-local (fc00::/7) and IPv4-mapped (::ffff:0:0/96)
if (
addr.startsWith("fc") ||
addr.startsWith("fd") ||
addr.startsWith("::ffff:")
) {
return true
}
// link-local (fe80::/10)
const linkLocal = addr.match(/^fe([0-9a-f]{2}):/)
if (linkLocal) {
const high = parseInt(linkLocal[1], 16)
if (high >= 0x80 && high <= 0xbf) return true
}
return false
}
// IPv4
const ipv4Match = addr.match(/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/)
if (ipv4Match) {
const [, a, b] = ipv4Match.map(Number)
if (a === 10) return true // 10.0.0.0/8
if (a === 172 && b >= 16 && b <= 31) return true // 172.16.0.0/12
if (a === 192 && b === 168) return true // 192.168.0.0/16
if (a === 169 && b === 254) return true // 169.254.0.0/16 (link-local)
if (a === 127) return true // 127.0.0.0/8 (loopback)
if (a === 0) return true // 0.0.0.0/8
if (a === 100 && b >= 64 && b <= 127) return true // 100.64.0.0/10 (CGNAT, used by some cloud internal networks)
}
return false
}
/**
* String-only check against well-known private hostnames and literal IPs.
* Fast path that avoids a DNS lookup for obvious cases.
*/
function isPrivateHostname(hostname: string): boolean {
const host = hostname
.toLowerCase()
.replace(/^\[|\]$/g, "")
.replace(/\.$/, "")
if (
host === "localhost" ||
host === "127.0.0.1" ||
host === "::1" ||
host === "::"
) {
return true
}
if (host === "169.254.169.254" || host === "metadata.google.internal") {
return true
}
if (
host.endsWith(".local") ||
host.endsWith(".internal") ||
host.endsWith(".localhost")
) {
return true
}
// Literal IP supplied directly in the URL
return isPrivateIp(host)
}
/**
* Check if URL points to private/internal network.
* Blocks: localhost, private IPs, link-local, AWS metadata service.
*
* Resolves the hostname via DNS and validates every returned address, so
* public-looking names that map to internal IPs (e.g. "127-0-0-1.sslip.io")
* are caught even though they pass the string-only check.
*/
export async function isPrivateUrl(urlString: string): Promise<boolean> {
try {
const url = new URL(urlString)
// Strip a trailing dot so FQDN forms like "localhost." (which still
// resolve to 127.0.0.1) cannot bypass the equality checks below.
const hostname = url.hostname
.toLowerCase()
.replace(/^\[|\]$/g, "")
.replace(/\.$/, "")
// Block localhost
if (
hostname === "localhost" ||
hostname === "127.0.0.1" ||
hostname === "::1" ||
hostname === "::"
) {
return true
}
// Fast path: obvious string matches and literal IPs.
if (isPrivateHostname(hostname)) return true
// Block IPv6 unique-local (fc00::/7), link-local (fe80::/10),
// and IPv4-mapped (::ffff:0:0/96) hosts.
if (hostname.includes(":")) {
if (
hostname.startsWith("fc") ||
hostname.startsWith("fd") ||
hostname.startsWith("::ffff:")
) {
return true
}
const linkLocal = hostname.match(/^fe([0-9a-f]{2}):/)
if (linkLocal) {
const high = parseInt(linkLocal[1], 16)
if (high >= 0x80 && high <= 0xbf) return true
}
}
// Block AWS/cloud metadata endpoints
if (
hostname === "169.254.169.254" ||
hostname === "metadata.google.internal"
) {
return true
}
// Check for private IPv4 ranges
const ipv4Match = hostname.match(
/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/,
)
if (ipv4Match) {
const [, a, b] = ipv4Match.map(Number)
if (a === 10) return true // 10.0.0.0/8
if (a === 172 && b >= 16 && b <= 31) return true // 172.16.0.0/12
if (a === 192 && b === 168) return true // 192.168.0.0/16
if (a === 169 && b === 254) return true // 169.254.0.0/16 (link-local)
if (a === 127) return true // 127.0.0.0/8 (loopback)
}
// Block common internal hostnames
if (
hostname.endsWith(".local") ||
hostname.endsWith(".internal") ||
hostname.endsWith(".localhost")
) {
return true
}
return false
// Resolve DNS and reject if any address is private.
const stripped = hostname.replace(/^\[|\]$/g, "").replace(/\.$/, "")
const addresses = await lookup(stripped, { all: true })
return addresses.some(({ address }) => isPrivateIp(address))
} catch {
return true // Invalid URL - block it
return true // Invalid URL or DNS failure - block it
}
}

View File

@@ -31,6 +31,9 @@ export const STORAGE_KEYS = {
// Custom system message
customSystemMessage: "next-ai-draw-io-custom-system-message",
// Output token budget per turn (empty = server default)
maxOutputTokens: "next-ai-draw-io-max-output-tokens",
// Panel visibility
showRecentChats: "next-ai-draw-io-show-recent-chats",
showMyTemplates: "next-ai-draw-io-show-my-templates",

View File

@@ -23,6 +23,8 @@ export type ProviderName =
| "kimi"
| "minimax"
| "novita"
| "mimo"
| "atlascloud"
// Individual model configuration
export interface ModelConfig {
@@ -114,6 +116,8 @@ export const PROVIDER_LOGO_MAP: Record<string, string> = {
modelscope: "modelscope",
minimax: "minimax",
novita: "novita",
mimo: "xiaomi",
atlascloud: "openai",
}
// Provider metadata
@@ -200,6 +204,14 @@ export const PROVIDER_INFO: Record<
label: "Novita AI",
defaultBaseUrl: "https://api.novita.ai/openai",
},
mimo: {
label: "MiMo (Xiaomi)",
defaultBaseUrl: "https://api.xiaomimimo.com/v1",
},
atlascloud: {
label: "Atlas Cloud",
defaultBaseUrl: "https://api.atlascloud.ai/v1",
},
}
// Suggested models per provider for quick add
@@ -437,6 +449,8 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
"moonshotai/kimi-k2.6",
"deepseek/deepseek-v4-flash",
],
mimo: ["mimo-v2.5-pro", "mimo-v2.5"],
atlascloud: ["qwen/qwen3.5-flash", "deepseek-ai/deepseek-v4-pro"],
}
// Helper to generate UUID

3402
package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@@ -52,7 +52,7 @@
"@opennextjs/cloudflare": "^1.17.1",
"@openrouter/ai-sdk-provider": "^2.0.0",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.216.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.221.0",
"@opentelemetry/sdk-trace-node": "^2.2.0",
"@radix-ui/react-alert-dialog": "^1.1.15",
"@radix-ui/react-collapsible": "^1.1.12",
@@ -109,7 +109,7 @@
},
"devDependencies": {
"@anthropic-ai/tokenizer": "^0.0.4",
"@biomejs/biome": "2.4.13",
"@biomejs/biome": "2.5.11",
"@playwright/test": "^1.57.0",
"@tailwindcss/postcss": "^4",
"@tailwindcss/typography": "^0.5.19",
@@ -129,7 +129,7 @@
"electron": "^39.2.7",
"electron-builder": "^26.0.12",
"esbuild": "^0.28.0",
"eslint": "9.39.4",
"eslint": "9.39.5",
"eslint-config-next": "16.1.6",
"husky": "^9.1.7",
"jsdom": "^27.4.0",

View File

@@ -116,9 +116,14 @@ Use the standard MCP configuration with:
|------|-------------|
| `start_session` | Opens browser with real-time diagram preview |
| `create_new_diagram` | Create a new diagram from XML (requires `xml` argument) |
| `load_diagram` | Load a `.drawio` file from disk into the session (handles compressed files) |
| `edit_diagram` | Edit diagram by ID-based operations (update/add/delete cells) |
| `get_diagram` | Get the current diagram XML |
| `export_diagram` | Save diagram to a `.drawio` file |
| `export_diagram` | Save diagram to a `.drawio`, `.png`, or `.svg` file |
| `list_pages` | List every page (tab) with id, name, index, and cell count |
| `add_page` | Append a new page without touching existing ones |
| `rename_page` | Rename a page |
| `delete_page` | Delete a page (refuses to delete the last one) |
## How It Works

View File

@@ -1,12 +1,12 @@
{
"name": "@next-ai-drawio/mcp-server",
"version": "0.2.1",
"version": "0.2.3",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@next-ai-drawio/mcp-server",
"version": "0.2.1",
"version": "0.2.3",
"license": "Apache-2.0",
"dependencies": {
"@modelcontextprotocol/sdk": "^1.0.4",
@@ -62,9 +62,9 @@
}
},
"node_modules/@esbuild/aix-ppc64": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.1.tgz",
"integrity": "sha512-HHB50pdsBX6k47S4u5g/CaLjqS3qwaOVE5ILsq64jyzgMhLuCuZ8rGzM9yhsAjfjkbgUPMzZEPa7DAp7yz6vuA==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.28.1.tgz",
"integrity": "sha512-Svl7tq8k/08+p6CXPpRjQ1fKX+1odH/BQbb48fV6fj3CWHhsoIOoY87w1oHXm0qEpkIK3ZfVgp0hed3XBXzXMQ==",
"cpu": [
"ppc64"
],
@@ -79,9 +79,9 @@
}
},
"node_modules/@esbuild/android-arm": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.27.1.tgz",
"integrity": "sha512-kFqa6/UcaTbGm/NncN9kzVOODjhZW8e+FRdSeypWe6j33gzclHtwlANs26JrupOntlcWmB0u8+8HZo8s7thHvg==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.28.1.tgz",
"integrity": "sha512-0k2F129Xdio1TdJfzJ8sy1Q47vUD2NnwdhiAf7drUN1EBTfPf4hsFCtmMgu/6m8JSzsBrlmVjudMBQqOfG8usQ==",
"cpu": [
"arm"
],
@@ -96,9 +96,9 @@
}
},
"node_modules/@esbuild/android-arm64": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.27.1.tgz",
"integrity": "sha512-45fuKmAJpxnQWixOGCrS+ro4Uvb4Re9+UTieUY2f8AEc+t7d4AaZ6eUJ3Hva7dtrxAAWHtlEFsXFMAgNnGU9uQ==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.28.1.tgz",
"integrity": "sha512-34EGEbCIAgosYz6goLcopX6Mo7NyGv9tfwEM2/7Ce2VcVRk568iSvniGWcUXIy7wEDR1wzolcxcriFVrWYcwBg==",
"cpu": [
"arm64"
],
@@ -113,9 +113,9 @@
}
},
"node_modules/@esbuild/android-x64": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.27.1.tgz",
"integrity": "sha512-LBEpOz0BsgMEeHgenf5aqmn/lLNTFXVfoWMUox8CtWWYK9X4jmQzWjoGoNb8lmAYml/tQ/Ysvm8q7szu7BoxRQ==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.28.1.tgz",
"integrity": "sha512-dbwY7ltSMDWsRatcRpCnES4F+im88OCUgGZjy52shC7GqHRE/cYlxNbB4Z4UpJswpcc4Qxd2oE/ufM0p61IKng==",
"cpu": [
"x64"
],
@@ -130,9 +130,9 @@
}
},
"node_modules/@esbuild/darwin-arm64": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.27.1.tgz",
"integrity": "sha512-veg7fL8eMSCVKL7IW4pxb54QERtedFDfY/ASrumK/SbFsXnRazxY4YykN/THYqFnFwJ0aVjiUrVG2PwcdAEqQQ==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.28.1.tgz",
"integrity": "sha512-TZbWkQY7kvTAXbXUT7uVACR5cMHsDiSz9z7ZKAX/RTq/WJEk3QyRr0wZpNhBDX+/0CtdqUIJlOiodQcta6tY3Q==",
"cpu": [
"arm64"
],
@@ -147,9 +147,9 @@
}
},
"node_modules/@esbuild/darwin-x64": {
"version": "0.27.1",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.27.1.tgz",
"integrity": "sha512-+3ELd+nTzhfWb07Vol7EZ+5PTbJ/u74nC6iv4/lwIU99Ip5uuY6QoIf0Hn4m2HoV0qcnRivN3KSqc+FyCHjoVQ==",
"version": "0.28.1",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.28.1.tgz",
"integrity": "sha512-zfdzgK9ACBNZLI/CyHTOx81SyNbM6YXn7rxSgX97VjyiPl9W1i4Ka4fgKECEoFCKGpvBj5qArWIGgQjOwkgskQ==",
"cpu": [
"x64"
],
@@ -164,9 +164,9 @@
}
},
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"@vitest/browser-preview": "4.1.8",
"@vitest/browser-webdriverio": "4.1.8",
"@vitest/coverage-istanbul": "4.1.8",
"@vitest/coverage-v8": "4.1.8",
"@vitest/ui": "4.1.8",
"@vitest/browser-playwright": "4.1.10",
"@vitest/browser-preview": "4.1.10",
"@vitest/browser-webdriverio": "4.1.10",
"@vitest/coverage-istanbul": "4.1.10",
"@vitest/coverage-v8": "4.1.10",
"@vitest/ui": "4.1.10",
"happy-dom": "*",
"jsdom": "*",
"vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
@@ -3297,9 +3368,9 @@
}
},
"node_modules/zod": {
"version": "4.4.1",
"resolved": "https://registry.npmjs.org/zod/-/zod-4.4.1.tgz",
"integrity": "sha512-a6ENMBBGZBsnlSebQ/eKCguSBeGKSf4O7BPnqVPmYGtpBYI7VSqoVqw+QcB7kPRjbqPwhYTpFbVj/RqNz/CT0Q==",
"version": "4.4.3",
"resolved": "https://registry.npmjs.org/zod/-/zod-4.4.3.tgz",
"integrity": "sha512-ytENFjIJFl2UwYglde2jchW2Hwm4GJFLDiSXWdTrJQBIN9Fcyp7n4DhxJEiWNAJMV1/BqWfW/kkg71UDcHJyTQ==",
"license": "MIT",
"funding": {
"url": "https://github.com/sponsors/colinhacks"

View File

@@ -1,6 +1,6 @@
{
"name": "@next-ai-drawio/mcp-server",
"version": "0.2.1",
"version": "0.2.3",
"description": "MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview",
"type": "module",
"main": "dist/index.js",

View File

@@ -0,0 +1,102 @@
/**
* Workflow gate for edit_diagram.
*
* Instead of a wall-clock timeout (the old 30s rule rejected slow-but-correct
* clients, see #885), we compare content: `lastSeenXml` is the state-store
* XML the model last saw (get_diagram) or wrote itself (create_new_diagram /
* edit_diagram / page CRUD). The store only changes on server writes or
* browser pushes (user autosave, sync exports), so if the live store still
* matches `lastSeenXml`, nothing happened that the model hasn't seen — the
* edit is safe no matter how much time passed.
*
* "Matches" is structural, not byte-for-byte: draw.io re-serialises the
* document when it pushes state back (different attribute order, pretty-
* printed whitespace, regenerated diagram ids, viewport attributes like
* dx/dy/pageWidth on <mxGraphModel>, a different mxfile host). None of that
* is a user edit, so the fingerprint keeps only what a user can actually
* change: the set of pages, each page's name, and each page's cell tree
* (tags + sorted attributes + text). Byte equality is kept as a fast path.
*/
import { isMxGraphModel, normalizeToMxfile, parseMxfile } from "./pages.js"
export type EditGateResult =
| { ok: true }
| { ok: false; reason: "no-context" | "stale" }
/**
* Canonical serialisation of an element subtree: tag + attributes sorted by
* name + child elements in order + non-whitespace text. Whitespace-only text
* nodes (pretty-printing) are dropped.
*/
function canonicalizeElement(el: Element): string {
const attrs = Array.from(el.attributes)
.map((a) => `${a.name}=${JSON.stringify(a.value)}`)
.sort()
.join(" ")
let children = ""
for (const child of Array.from(el.childNodes)) {
if (child.nodeType === 1) {
children += canonicalizeElement(child as Element)
} else if (child.nodeType === 3 || child.nodeType === 4) {
const text = (child.textContent ?? "").trim()
if (text) children += JSON.stringify(text)
}
}
return `<${el.tagName} ${attrs}>${children}</${el.tagName}>`
}
/**
* Structural fingerprint of a diagram document: page names + each page's
* <root> subtree, ignoring everything draw.io rewrites on re-serialisation
* (mxfile/mxGraphModel attributes, diagram ids, formatting). A bare
* <mxGraphModel> fingerprints identically to its single-page mxfile wrapping.
* Unparseable input falls back to the trimmed raw string, degrading to the
* plain string comparison.
*
* `includeNames=false` drops page names from the fingerprint — used when the
* other side of a comparison is a bare <mxGraphModel>, which carries no page
* name at all (normalizeToMxfile would invent "Page-1", falsely mismatching
* any real page name).
*/
export function contentFingerprint(xml: string, includeNames = true): string {
const normalized = normalizeToMxfile(xml)
const doc = normalized ? parseMxfile(normalized) : null
if (!doc) return xml.trim()
const pages: string[] = []
doc.querySelectorAll("diagram").forEach((d) => {
const name = includeNames ? d.getAttribute("name") || "" : ""
const root = d.querySelector("root")
// No <root> means the page content is not plain XML (e.g. draw.io's
// compressed format) — fingerprint the raw text instead.
const body = root
? canonicalizeElement(root)
: (d.textContent || "").trim()
pages.push(`${name}=${body}`)
})
return pages.join("\n")
}
export function checkEditGate(
lastSeenXml: string,
liveXml: string,
): EditGateResult {
// Model never fetched or produced any diagram state in this session.
if (!lastSeenXml) return { ok: false, reason: "no-context" }
// Browser state moved since the model last looked (e.g. manual user
// edits): force a re-fetch so update/delete operations don't build on
// stale cell contents. An empty liveXml means the store has no entry to
// compare against, so there is nothing newer to have missed.
if (liveXml && liveXml !== lastSeenXml) {
// A bare <mxGraphModel> on either side carries no page name, so
// comparing names would mismatch against anything not called
// "Page-1". Compare cell trees only in that case.
const includeNames =
!isMxGraphModel(liveXml) && !isMxGraphModel(lastSeenXml)
if (
contentFingerprint(liveXml, includeNames) !==
contentFingerprint(lastSeenXml, includeNames)
)
return { ok: false, reason: "stale" }
}
return { ok: true }
}

View File

@@ -36,6 +36,7 @@ class XMLSerializerPolyfill {
}
;(globalThis as any).XMLSerializer = XMLSerializerPolyfill
import { createRequire } from "node:module"
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"
import open from "open"
@@ -44,6 +45,7 @@ import {
applyDiagramOperations,
type DiagramOperation,
} from "./diagram-operations.js"
import { checkEditGate } from "./edit-gate.js"
import { addHistory } from "./history.js"
import {
getState,
@@ -54,6 +56,7 @@ import {
startHttpServer,
waitForSync,
} from "./http-server.js"
import { parseDrawioFileContent } from "./load-diagram.js"
import { log } from "./logger.js"
import {
addPageToDoc,
@@ -79,13 +82,25 @@ let currentSession: {
id: string
xml: string
version: number
lastGetDiagramTime: number // Track when get_diagram was last called (for enforcing workflow)
// The exact state-store XML the model last saw (get_diagram) or wrote
// itself (create/edit/page CRUD). The store only changes on server
// writes or browser pushes (user autosave / sync), so edit_diagram can
// detect unseen user edits by comparing the live store against this.
// Empty = no diagram context established yet.
lastSeenXml: string
} | null = null
// Create MCP server
// Create MCP server. The version reported in the MCP handshake is read from
// package.json so it can never drift from the published npm version again
// (it sat hardcoded at stale values for most of this package's history).
// Both src/ (tsx dev) and dist/ (published build) live one level below the
// package root, so the relative path works in either runtime.
const require = createRequire(import.meta.url)
const packageVersion: string = require("../package.json").version
const server = new McpServer({
name: "next-ai-drawio",
version: "0.3.0",
version: packageVersion,
})
// Shared Zod schema fragment for page-targeting parameters.
@@ -158,21 +173,21 @@ server.prompt(
1. Call start_session to open the browser preview
2. Use create_new_diagram with either a bare <mxGraphModel> (single page) or a full <mxfile> with one or more <diagram> children (multi-page)
## Opening an Existing .drawio File
- Use load_diagram with the file path — the server reads and decompresses the file itself; don't read it and pass the XML through create_new_diagram
- After loading, call get_diagram once before editing (you haven't seen the file's cell IDs yet)
## Working with Multiple Pages
- Use list_pages to discover existing pages (id, name, index)
- Use add_page to append a new page (without losing existing ones — unlike create_new_diagram which REPLACES everything)
- Use rename_page / delete_page for management
- edit_diagram, get_diagram, and export_diagram all accept optional page_id / page_name / page_index — when omitted they target the first page
## Adding Elements to an Existing Page
1. Use edit_diagram with "add" operation, optionally with a page selector
2. Provide a unique cell_id and complete mxCell XML
3. No need to call get_diagram first - the server fetches latest state automatically
## Modifying or Deleting Existing Elements
1. FIRST call get_diagram to see current cell IDs and page structure
2. THEN call edit_diagram with "update" or "delete" operations
3. For update, provide the cell_id and complete new mxCell XML
## Editing a Page (add / update / delete cells)
1. Call edit_diagram with your operations, optionally with a page selector
2. If you don't know the current cell IDs or structure, call get_diagram first
3. For add/update, provide the cell_id and complete mxCell XML
4. No need to call get_diagram before every edit: the server rejects the edit (with no side effects) if the user changed the diagram in the browser since you last saw it, and tells you to call get_diagram once and retry
## Important Notes
- create_new_diagram REPLACES the entire document, including ALL pages - only use for new diagrams. Use add_page to add a tab without losing existing content.
@@ -205,7 +220,7 @@ server.registerTool(
id: sessionId,
xml: "",
version: 0,
lastGetDiagramTime: 0,
lastSeenXml: "",
}
// Open browser
@@ -376,10 +391,12 @@ COMMON STYLES:
// Update session state
currentSession.xml = xml
currentSession.version++
currentSession.lastGetDiagramTime = Date.now()
// Push to embedded server state
// Push to embedded server state. The model just authored this
// exact XML, so record it as seen — edit_diagram may follow
// without a redundant get_diagram round-trip.
setState(currentSession.id, xml)
currentSession.lastSeenXml = xml
// Save AI result (no SVG yet - will be captured by browser)
addHistory(currentSession.id, xml, "")
@@ -417,19 +434,136 @@ COMMON STYLES:
},
)
// Tool: load_diagram
server.registerTool(
"load_diagram",
{
description:
"Load a .drawio file from disk into the current session, REPLACING the entire diagram (all pages). " +
"The server reads the file directly — you do NOT need to read the file yourself or pass its XML through create_new_diagram. " +
"Handles both plain-XML and draw.io's compressed save format.\n\n" +
"After loading, call get_diagram before edit_diagram — you haven't seen the file's cell IDs or structure yet.",
inputSchema: {
path: z
.string()
.describe(
"Path to the .drawio file to load (e.g., ./diagram.drawio)",
),
},
},
async ({ path }) => {
try {
if (!currentSession) {
return {
content: [
{
type: "text",
text: "Error: No active session. Please call start_session first.",
},
],
isError: true,
}
}
const fs = await import("node:fs/promises")
const nodePath = await import("node:path")
const absolutePath = nodePath.resolve(path)
let content: string
try {
content = await fs.readFile(absolutePath, "utf-8")
} catch (e) {
const msg = e instanceof Error ? e.message : String(e)
return {
content: [
{
type: "text",
text: `Error: Cannot read file ${absolutePath}: ${msg}`,
},
],
isError: true,
}
}
const loaded = parseDrawioFileContent(content)
if (!loaded.ok) {
return {
content: [{ type: "text", text: `Error: ${loaded.error}` }],
isError: true,
}
}
const xml = loaded.xml
log.info(
`Loading diagram from ${absolutePath} (${xml.length} chars)`,
)
// Save the user's current state before replacing (same flow as
// create_new_diagram).
const browserState = getState(currentSession.id)
if (browserState?.xml) {
currentSession.xml = browserState.xml
}
if (currentSession.xml) {
addHistory(
currentSession.id,
currentSession.xml,
browserState?.svg || "",
)
}
currentSession.xml = xml
currentSession.version++
setState(currentSession.id, xml)
// Deliberately NOT marking the loaded XML as seen: the model only
// supplied a path, so it doesn't know the file's cell IDs. The
// edit gate will require one get_diagram before edits.
currentSession.lastSeenXml = ""
addHistory(currentSession.id, xml, "")
const doc = parseMxfile(xml)
const pages = doc ? listPagesFromDoc(doc) : []
const pageSummary =
pages.length > 0
? `Pages (${pages.length}): ${pages.map((p) => `[${p.index}] id=${p.id} name="${p.name}" cells=${p.cellCount}`).join(" | ")}`
: "no pages parsed"
log.info(`Diagram loaded from file (${pageSummary})`)
return {
content: [
{
type: "text",
text: `Diagram loaded from ${absolutePath}!\n\nThe diagram is now visible in your browser.\n\n${pageSummary}\n\nCall get_diagram before edit_diagram — you haven't seen this file's cell IDs yet.`,
},
],
}
} catch (error) {
const message =
error instanceof Error ? error.message : String(error)
log.error("load_diagram failed:", message)
return {
content: [{ type: "text", text: `Error: ${message}` }],
isError: true,
}
}
},
)
// Tool: edit_diagram
server.registerTool(
"edit_diagram",
{
description:
"Edit a specific page in the current diagram by ID-based operations (update/add/delete cells).\n\n" +
"⚠️ REQUIRED: You MUST call get_diagram BEFORE this tool!\n" +
"This fetches the latest state from the browser including any manual user edits.\n" +
"Skipping get_diagram WILL cause user's changes to be LOST.\n\n" +
"Workflow:\n" +
"1. Call get_diagram to see current cell IDs, page structure, and active page\n" +
"2. Use the returned XML to construct your edit operations\n" +
"3. Call edit_diagram with your operations and (optionally) a page selector\n\n" +
"Freshness: the server remembers the last diagram state you have seen, and rejects this call " +
"only if the user edited the diagram in the browser since then. You do NOT need to call " +
"get_diagram before every edit — if your view is stale, the call is rejected (with no side " +
"effects) and the error tells you to call get_diagram once and retry.\n\n" +
"Call get_diagram first only when you don't know the current diagram content (cell IDs, " +
"structure) — e.g. the diagram wasn't created in this conversation, or you're unsure your " +
"memory of it is accurate.\n\n" +
"Multi-page targeting:\n" +
"- page_id / page_name / page_index are optional; when all omitted, the FIRST page is targeted\n" +
"- Use list_pages to discover what pages exist\n\n" +
@@ -482,27 +616,6 @@ server.registerTool(
}
}
// Enforce workflow: require get_diagram to be called first
const timeSinceGet = Date.now() - currentSession.lastGetDiagramTime
if (timeSinceGet > 30000) {
// 30 seconds
log.warn(
"edit_diagram called without recent get_diagram - rejecting to prevent data loss",
)
return {
content: [
{
type: "text",
text:
"Error: You must call get_diagram first before edit_diagram.\n\n" +
"This ensures you have the latest diagram state including any manual edits the user made in the browser. " +
"Please call get_diagram, then use that XML to construct your edit operations.",
},
],
isError: true,
}
}
// Fetch latest state from browser. Re-normalise to mxfile: the
// embed/sync path can hand back a bare <mxGraphModel>, and adopting
// it verbatim would silently strip a multi-page document down to
@@ -526,6 +639,37 @@ server.registerTool(
}
}
// Enforce workflow: the model must have seen the current diagram
// state. Content comparison instead of a wall-clock timeout —
// slow reasoning between get_diagram and edit_diagram is fine as
// long as nothing changed in the browser meanwhile (#885).
const gate = checkEditGate(
currentSession.lastSeenXml,
browserState?.xml ?? "",
)
if (!gate.ok) {
log.warn(
gate.reason === "stale"
? "edit_diagram called with unseen browser changes - rejecting to prevent data loss"
: "edit_diagram called without get_diagram - rejecting to prevent data loss",
)
return {
content: [
{
type: "text",
text:
gate.reason === "stale"
? "Error: The diagram changed in the browser since you last fetched it (e.g. manual user edits).\n\n" +
"Call get_diagram to see the latest state, then rebuild your edit operations on top of it."
: "Error: You must call get_diagram first before edit_diagram.\n\n" +
"This ensures you have the latest diagram state including any manual edits the user made in the browser. " +
"Please call get_diagram, then use that XML to construct your edit operations.",
},
],
isError: true,
}
}
const pageSelector = pickPageSelector({
page_id,
page_name,
@@ -601,8 +745,10 @@ server.registerTool(
currentSession.xml = result
currentSession.version++
// Push to embedded server
// Push to embedded server; the pushed XML is now the latest
// state the model has seen.
setState(currentSession.id, result)
currentSession.lastSeenXml = result
// Save AI result (no SVG yet - will be captured by browser)
addHistory(currentSession.id, result, "")
@@ -641,8 +787,9 @@ server.registerTool(
{
description:
"Get the current diagram XML (fetches latest from browser, including user's manual edits). " +
"Call this BEFORE edit_diagram if you need to update or delete existing elements, " +
"so you can see the current cell IDs, pages, and structure.\n\n" +
"Call this when you don't know the current diagram content (cell IDs, pages, structure) — " +
"e.g. before editing a diagram you didn't create in this conversation, or after edit_diagram " +
"was rejected because the user changed the diagram in the browser.\n\n" +
"Returns the full <mxfile> by default. If a page selector is provided, returns just that page's <mxGraphModel> embedded in a one-page <mxfile> wrapper.",
inputSchema: {
...pageSelectorSchema,
@@ -677,9 +824,6 @@ server.registerTool(
}
}
// Mark that get_diagram was called (for edit_diagram workflow check)
currentSession.lastGetDiagramTime = Date.now()
// Fetch latest state from browser, re-normalising to mxfile so a
// bare <mxGraphModel> pushed back by the embed/sync path doesn't
// strip page structure (see edit_diagram for the same guard).
@@ -700,6 +844,11 @@ server.registerTool(
}
}
// The model is now looking at the current state. Record the raw
// store value — the gate's fast path is plain string equality
// against the store, with a structural comparison as fallback.
currentSession.lastSeenXml = browserState?.xml || currentSession.xml
const pageSelector = pickPageSelector({
page_id,
page_name,
@@ -1070,11 +1219,11 @@ async function loadMxfileForMutation(): Promise<
addHistory(sessionRef.id, sessionRef.xml, browserState?.svg || "")
sessionRef.xml = newXml
sessionRef.version++
// Page CRUD updates the structure that get_diagram would return,
// so refresh the workflow timestamp — subsequent edit_diagram
// calls don't need a redundant get_diagram round-trip.
sessionRef.lastGetDiagramTime = Date.now()
setState(sessionRef.id, newXml)
// The model just wrote this exact state, so mark it as seen —
// subsequent edit_diagram calls don't need a redundant
// get_diagram round-trip.
sessionRef.lastSeenXml = newXml
addHistory(sessionRef.id, newXml, "")
},
}

View File

@@ -0,0 +1,101 @@
/**
* File-loading helpers for the load_diagram tool.
*
* A .drawio file is an <mxfile> whose <diagram> children hold each page's
* <mxGraphModel> either as plain XML or — draw.io's default save format —
* compressed: encodeURIComponent(xml) → raw deflate → base64 as the
* diagram's text content. The rest of the server assumes plain XML inside
* every <diagram>, so loading decompresses all pages up front.
*/
import { inflateRawSync } from "node:zlib"
import { DOMParser } from "linkedom"
import {
isMxFile,
isMxGraphModel,
normalizeToMxfile,
parseMxfile,
serializeMxfile,
} from "./pages.js"
export type LoadResult =
| { ok: true; xml: string }
| { ok: false; error: string }
/**
* Decode one compressed page body (base64 → raw deflate → URI-decode).
* Returns null if the text isn't in that format.
*/
export function decompressPageContent(compressed: string): string | null {
try {
const inflated = inflateRawSync(
Buffer.from(compressed.trim(), "base64"),
).toString("utf-8")
try {
return decodeURIComponent(inflated)
} catch {
// Not URI-encoded (older files) — the inflated text is the XML.
return inflated
}
} catch {
return null
}
}
/**
* Parse the content of a .drawio file into the canonical session shape:
* an <mxfile> whose every page holds plain <mxGraphModel> XML. Accepts a
* bare <mxGraphModel> (wrapped into a one-page mxfile) and decompresses
* any compressed pages.
*/
export function parseDrawioFileContent(content: string): LoadResult {
const trimmed = content.trim()
if (!trimmed) return { ok: false, error: "File is empty." }
if (isMxGraphModel(trimmed)) {
const normalized = normalizeToMxfile(trimmed)
return normalized
? { ok: true, xml: normalized }
: { ok: false, error: "Failed to parse <mxGraphModel> XML." }
}
if (!isMxFile(trimmed)) {
return {
ok: false,
error: "Not a draw.io file: expected an <mxfile> or <mxGraphModel> root element.",
}
}
const doc = parseMxfile(trimmed)
if (!doc) return { ok: false, error: "Failed to parse <mxfile> XML." }
let decompressedAny = false
for (const d of Array.from(doc.querySelectorAll("diagram"))) {
if (d.querySelector("mxGraphModel")) continue
const text = (d.textContent || "").trim()
if (!text) continue // an empty page is valid
const pageLabel =
d.getAttribute("name") || d.getAttribute("id") || "unnamed"
const xml = decompressPageContent(text)
if (!xml || !isMxGraphModel(xml)) {
return {
ok: false,
error: `Page "${pageLabel}" has content that is neither plain <mxGraphModel> XML nor draw.io's compressed format.`,
}
}
const inner = new DOMParser().parseFromString(xml, "text/xml")
if (
inner.querySelector("parsererror") ||
inner.documentElement?.tagName !== "mxGraphModel"
) {
return {
ok: false,
error: `Page "${pageLabel}" decompressed but its XML failed to parse.`,
}
}
d.textContent = ""
d.appendChild(
doc.importNode(inner.documentElement as unknown as Node, true),
)
decompressedAny = true
}
// Nothing changed — keep the file's own serialisation.
return { ok: true, xml: decompressedAny ? serializeMxfile(doc) : trimmed }
}

View File

@@ -0,0 +1,132 @@
/**
* Unit tests for the edit_diagram workflow gate (edit-gate.ts).
*
* The gate replaced the old 30-second wall-clock rule (#885): an edit is
* allowed when the model has seen the current browser state, no matter how
* long ago — and rejected when the browser state moved since. "Seen" is
* judged structurally, so draw.io's re-serialisation of the same content
* (attribute order, whitespace, viewport attributes, wrapper shape) never
* reads as a user edit.
*/
import { DOMParser } from "linkedom"
import { beforeAll, describe, expect, it } from "vitest"
beforeAll(() => {
;(globalThis as any).DOMParser = DOMParser
})
import { checkEditGate, contentFingerprint } from "../src/edit-gate.js"
const XML_A = `<mxfile host="app.diagrams.net"><diagram id="p1" name="Page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/><mxCell id="box1" value="Hello" style="rounded=0;" vertex="1" parent="1"><mxGeometry x="40" y="40" width="120" height="60" as="geometry"/></mxCell></root></mxGraphModel></diagram></mxfile>`
// The same document as draw.io re-serialises it on autosave: different host,
// regenerated diagram id, viewport attributes on mxGraphModel, re-ordered
// cell attributes, pretty-printed whitespace.
const XML_A_RESERIALIZED = `<mxfile host="embed.diagrams.net">
<diagram id="regenerated-id" name="Page-1">
<mxGraphModel dx="1596" dy="743" grid="1" pageWidth="827" pageHeight="1169">
<root>
<mxCell id="0" />
<mxCell id="1" parent="0" />
<mxCell id="box1" parent="1" style="rounded=0;" value="Hello" vertex="1">
<mxGeometry height="60" width="120" x="40" y="40" as="geometry" />
</mxCell>
</root>
</mxGraphModel>
</diagram>
</mxfile>`
// A real user edit: box1 moved to a different position.
const XML_B = XML_A.replace('x="40" y="40"', 'x="300" y="200"')
// Bare mxGraphModel with identical page content to XML_A.
const XML_A_BARE = `<mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/><mxCell id="box1" value="Hello" style="rounded=0;" vertex="1" parent="1"><mxGeometry x="40" y="40" width="120" height="60" as="geometry"/></mxCell></root></mxGraphModel>`
describe("checkEditGate", () => {
it("rejects when no diagram context was ever established", () => {
expect(checkEditGate("", XML_A)).toEqual({
ok: false,
reason: "no-context",
})
})
it("allows when the browser state is exactly what the model saw", () => {
expect(checkEditGate(XML_A, XML_A)).toEqual({ ok: true })
})
it("allows when the browser state is a re-serialisation of the same content", () => {
expect(checkEditGate(XML_A, XML_A_RESERIALIZED)).toEqual({ ok: true })
})
it("rejects when a cell actually changed", () => {
expect(checkEditGate(XML_A, XML_B)).toEqual({
ok: false,
reason: "stale",
})
})
it("rejects a real edit even when wrapped in re-serialisation noise", () => {
const movedAndReserialized = XML_A_RESERIALIZED.replace(
'x="40" y="40"',
'x="300" y="200"',
)
expect(checkEditGate(XML_A, movedAndReserialized)).toEqual({
ok: false,
reason: "stale",
})
})
it("allows when the store has no live entry to compare against", () => {
expect(checkEditGate(XML_A, "")).toEqual({ ok: true })
})
// A bare <mxGraphModel> push carries no page name, so the gate must not
// compare the invented "Page-1" wrapper name against the real one.
it("allows a bare mxGraphModel push when the page has a custom name", () => {
const seenRenamed = XML_A.replace('name="Page-1"', 'name="Arch"')
expect(checkEditGate(seenRenamed, XML_A_BARE)).toEqual({ ok: true })
})
it("still rejects a bare mxGraphModel push whose cells changed", () => {
const seenRenamed = XML_A.replace('name="Page-1"', 'name="Arch"')
const bareMoved = XML_A_BARE.replace('x="40" y="40"', 'x="300" y="200"')
expect(checkEditGate(seenRenamed, bareMoved)).toEqual({
ok: false,
reason: "stale",
})
})
})
describe("contentFingerprint", () => {
it("is invariant under draw.io re-serialisation", () => {
expect(contentFingerprint(XML_A)).toBe(
contentFingerprint(XML_A_RESERIALIZED),
)
})
it("treats a bare mxGraphModel like its one-page mxfile wrapping", () => {
expect(contentFingerprint(XML_A_BARE)).toBe(contentFingerprint(XML_A))
})
it("changes when a cell attribute changes", () => {
expect(contentFingerprint(XML_A)).not.toBe(contentFingerprint(XML_B))
})
it("changes when a page is renamed", () => {
const renamed = XML_A.replace('name="Page-1"', 'name="Renamed"')
expect(contentFingerprint(XML_A)).not.toBe(contentFingerprint(renamed))
})
it("changes when a page is added", () => {
const twoPages = XML_A.replace(
"</mxfile>",
`<diagram id="p2" name="Page-2"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`,
)
expect(contentFingerprint(XML_A)).not.toBe(contentFingerprint(twoPages))
})
it("falls back to the raw string for unparseable input", () => {
expect(contentFingerprint("not xml at all")).toBe("not xml at all")
})
})

View File

@@ -0,0 +1,126 @@
/**
* Unit tests for load_diagram's file parsing (load-diagram.ts).
*
* A .drawio file stores each page's <mxGraphModel> either as plain XML or
* as draw.io's compressed default (encodeURIComponent → raw deflate →
* base64 text content). The loader must produce the canonical session
* shape: an <mxfile> whose every page is plain XML.
*/
import { deflateRawSync } from "node:zlib"
import { DOMParser } from "linkedom"
import { beforeAll, describe, expect, it } from "vitest"
// Install the DOM polyfills exactly as index.ts does at runtime.
beforeAll(() => {
;(globalThis as any).DOMParser = DOMParser
class XMLSerializerPolyfill {
serializeToString(node: any): string {
if (node.outerHTML !== undefined) return node.outerHTML
if (node.documentElement) return node.documentElement.outerHTML
return ""
}
}
;(globalThis as any).XMLSerializer = XMLSerializerPolyfill
})
import {
decompressPageContent,
parseDrawioFileContent,
} from "../src/load-diagram.js"
const MODEL_XML = `<mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/><mxCell id="box1" value="Hello" style="rounded=0;" vertex="1" parent="1"><mxGeometry x="40" y="40" width="120" height="60" as="geometry"/></mxCell></root></mxGraphModel>`
/** Compress a page body exactly the way draw.io does when saving. */
function drawioCompress(xml: string): string {
return deflateRawSync(
Buffer.from(encodeURIComponent(xml), "utf-8"),
).toString("base64")
}
const PLAIN_MXFILE = `<mxfile host="app.diagrams.net"><diagram id="p1" name="Page-1">${MODEL_XML}</diagram></mxfile>`
const COMPRESSED_MXFILE = `<mxfile host="app.diagrams.net" compressed="true"><diagram id="p1" name="Page-1">${drawioCompress(MODEL_XML)}</diagram></mxfile>`
describe("decompressPageContent", () => {
it("round-trips draw.io's compressed format", () => {
expect(decompressPageContent(drawioCompress(MODEL_XML))).toBe(MODEL_XML)
})
it("handles non-URI-encoded legacy payloads", () => {
const legacy = deflateRawSync(Buffer.from(MODEL_XML, "utf-8")).toString(
"base64",
)
expect(decompressPageContent(legacy)).toBe(MODEL_XML)
})
it("returns null for garbage", () => {
expect(decompressPageContent("not base64 deflate")).toBeNull()
})
})
describe("parseDrawioFileContent", () => {
it("passes a plain-XML mxfile through unchanged", () => {
const r = parseDrawioFileContent(PLAIN_MXFILE)
expect(r).toEqual({ ok: true, xml: PLAIN_MXFILE })
})
it("wraps a bare mxGraphModel into a one-page mxfile", () => {
const r = parseDrawioFileContent(MODEL_XML)
expect(r.ok).toBe(true)
if (r.ok) {
expect(r.xml).toContain("<mxfile")
expect(r.xml).toContain('value="Hello"')
}
})
it("decompresses a compressed mxfile into plain XML pages", () => {
const r = parseDrawioFileContent(COMPRESSED_MXFILE)
expect(r.ok).toBe(true)
if (r.ok) {
expect(r.xml).toContain("<mxGraphModel")
expect(r.xml).toContain('value="Hello"')
// The compressed blob must be gone.
expect(r.xml).not.toContain(drawioCompress(MODEL_XML))
}
})
it("decompresses only the compressed pages of a mixed file", () => {
const mixed = `<mxfile><diagram id="a" name="Plain">${MODEL_XML}</diagram><diagram id="b" name="Squeezed">${drawioCompress(MODEL_XML)}</diagram></mxfile>`
const r = parseDrawioFileContent(mixed)
expect(r.ok).toBe(true)
if (r.ok) {
const doc = new DOMParser().parseFromString(r.xml, "text/xml")
const diagrams = Array.from(
doc.querySelectorAll("diagram"),
) as Element[]
expect(diagrams).toHaveLength(2)
for (const d of diagrams) {
expect(d.querySelector("mxGraphModel")).not.toBeNull()
}
}
})
it("keeps empty pages as-is", () => {
const withEmpty = `<mxfile><diagram id="a" name="Page-1">${MODEL_XML}</diagram><diagram id="b" name="Empty"></diagram></mxfile>`
const r = parseDrawioFileContent(withEmpty)
expect(r).toEqual({ ok: true, xml: withEmpty })
})
it("rejects empty files", () => {
const r = parseDrawioFileContent(" ")
expect(r.ok).toBe(false)
})
it("rejects non-drawio content", () => {
const r = parseDrawioFileContent("<svg><rect/></svg>")
expect(r.ok).toBe(false)
if (!r.ok) expect(r.error).toContain("Not a draw.io file")
})
it("rejects a page whose content is neither XML nor compressed", () => {
const bad = `<mxfile><diagram id="a" name="Broken">!!! not a diagram !!!</diagram></mxfile>`
const r = parseDrawioFileContent(bad)
expect(r.ok).toBe(false)
if (!r.ok) expect(r.error).toContain('"Broken"')
})
})

View File

@@ -31,6 +31,7 @@ const tsxBin = path.resolve(
const EXPECTED_TOOLS = [
"start_session",
"create_new_diagram",
"load_diagram",
"edit_diagram",
"get_diagram",
"export_diagram",

View File

@@ -0,0 +1,12 @@
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After

Width:  |  Height:  |  Size: 8.1 KiB

View File

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After

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View File

@@ -18,6 +18,26 @@ test.describe("Settings", () => {
await expect(dialog.locator('text="English"')).toBeVisible()
})
test("max output tokens is editable and persists", async ({ page }) => {
await openSettings(page)
const input = page.locator("#max-output-tokens")
await expect(input).toBeVisible()
await input.fill("48000")
await expect
.poll(() =>
page.evaluate(() =>
localStorage.getItem("next-ai-draw-io-max-output-tokens"),
),
)
.toBe("48000")
// Non-digits are dropped so the header always carries a plain number
await input.fill("12k000")
await expect(input).toHaveValue("12000")
})
test("draw.io theme toggle exists", async ({ page }) => {
await openSettings(page)

View File

@@ -3,7 +3,6 @@ import {
getAIModel,
isAihubmixStandardBaseURL,
resolveBaseURL,
supportsImageInput,
supportsPromptCaching,
} from "@/lib/ai-providers"
import { extractAihubmixModelIds } from "@/lib/aihubmix-models"
@@ -183,89 +182,6 @@ describe("supportsPromptCaching", () => {
})
})
describe("supportsImageInput", () => {
it("returns true for models with vision capability", () => {
expect(supportsImageInput("gpt-4-vision")).toBe(true)
expect(supportsImageInput("qwen-vl")).toBe(true)
expect(supportsImageInput("deepseek-vl")).toBe(true)
})
it("returns false for Kimi K2 models without vision", () => {
expect(supportsImageInput("kimi-k2")).toBe(false)
expect(supportsImageInput("moonshot/kimi-k2")).toBe(false)
})
it("returns true for Kimi K2.5 models (supports vision)", () => {
expect(supportsImageInput("kimi-k2.5")).toBe(true)
expect(supportsImageInput("moonshotai/kimi-k2.5")).toBe(true)
})
it("returns false for Moonshot v1 text models", () => {
expect(supportsImageInput("moonshot-v1-8k")).toBe(false)
expect(supportsImageInput("moonshot-v1-32k")).toBe(false)
expect(supportsImageInput("moonshot-v1-128k")).toBe(false)
})
it("returns false for MiniMax M2 text models", () => {
expect(supportsImageInput("MiniMax-M2.7")).toBe(false)
expect(supportsImageInput("MiniMax-M2.7-highspeed")).toBe(false)
expect(supportsImageInput("MiniMax-M2")).toBe(false)
})
it("returns true for MiniMax M3 (supports image input)", () => {
expect(supportsImageInput("MiniMax-M3")).toBe(true)
})
it("returns false for DeepSeek text models", () => {
expect(supportsImageInput("deepseek-chat")).toBe(false)
expect(supportsImageInput("deepseek-coder")).toBe(false)
})
it("returns false for Qwen text models", () => {
expect(supportsImageInput("qwen-turbo")).toBe(false)
expect(supportsImageInput("qwen-plus")).toBe(false)
expect(supportsImageInput("qwen3-max")).toBe(false)
})
it("returns true for Qwen vision models", () => {
expect(supportsImageInput("qwen-vl")).toBe(true)
expect(supportsImageInput("Qwen3.5")).toBe(true)
expect(supportsImageInput("qwen3.5")).toBe(true)
expect(supportsImageInput("qwen3.5-plus")).toBe(true)
expect(supportsImageInput("qwen3.5-flash")).toBe(true)
expect(supportsImageInput("qwen3-vl-plus")).toBe(true)
expect(supportsImageInput("qwen3-vl-flash")).toBe(true)
})
it("returns true for QvQ (Qwen Visual QA) models including OpenRouter-prefixed names", () => {
expect(supportsImageInput("qvq-72b-preview")).toBe(true)
expect(supportsImageInput("qvq-max")).toBe(true)
expect(supportsImageInput("qwen/qvq-72b-preview")).toBe(true)
expect(supportsImageInput("qwen/qvq-max")).toBe(true)
})
it("returns false for GLM text models", () => {
expect(supportsImageInput("glm-4")).toBe(false)
expect(supportsImageInput("glm-4-plus")).toBe(false)
expect(supportsImageInput("glm-4-flash")).toBe(false)
expect(supportsImageInput("glm-4-long")).toBe(false)
expect(supportsImageInput("glm-4.7")).toBe(false)
expect(supportsImageInput("glm-5")).toBe(false)
})
it("returns true for GLM vision models", () => {
expect(supportsImageInput("glm-4v")).toBe(true)
expect(supportsImageInput("glm-4v-9b")).toBe(true)
expect(supportsImageInput("glm-4.1v-9b-thinking")).toBe(true)
})
it("returns true for Claude and GPT models by default", () => {
expect(supportsImageInput("claude-sonnet-4-5")).toBe(true)
expect(supportsImageInput("gpt-4o")).toBe(true)
expect(supportsImageInput("gemini-pro")).toBe(true)
})
})
vi.mock("ollama-ai-provider-v2", () => {
const mockModel = { modelId: "test-model" }
const mockProviderFn = vi.fn(() => mockModel)
@@ -290,6 +206,16 @@ vi.mock("@aihubmix/ai-sdk-provider", () => {
return { aihubmix: mockAihubmix, createAihubmix: mockCreateAihubmix }
})
vi.mock("@ai-sdk/openai", () => {
const mockModel = { modelId: "test-model" }
const mockChat = vi.fn(() => mockModel)
const mockProviderFn = vi.fn(() => mockModel) as any
mockProviderFn.chat = mockChat
const mockCreateOpenAI = vi.fn(() => mockProviderFn)
const mockOpenai = vi.fn(() => mockModel)
return { createOpenAI: mockCreateOpenAI, openai: mockOpenai }
})
describe("AIHubMix provider", () => {
let createAihubmixMock: ReturnType<typeof vi.fn>
const savedEnv: Record<string, string | undefined> = {}
@@ -346,6 +272,54 @@ describe("AIHubMix provider", () => {
})
})
describe("Atlas Cloud provider", () => {
let createOpenAIMock: ReturnType<typeof vi.fn>
const savedEnv: Record<string, string | undefined> = {}
beforeEach(async () => {
savedEnv.ATLASCLOUD_API_KEY = process.env.ATLASCLOUD_API_KEY
savedEnv.ATLASCLOUD_BASE_URL = process.env.ATLASCLOUD_BASE_URL
delete process.env.ATLASCLOUD_BASE_URL
const mod = await import("@ai-sdk/openai")
createOpenAIMock = mod.createOpenAI as ReturnType<typeof vi.fn>
createOpenAIMock.mockClear()
})
afterEach(() => {
process.env.ATLASCLOUD_API_KEY = savedEnv.ATLASCLOUD_API_KEY
process.env.ATLASCLOUD_BASE_URL = savedEnv.ATLASCLOUD_BASE_URL
})
it("uses Atlas Cloud default endpoint with ATLASCLOUD_API_KEY", () => {
process.env.ATLASCLOUD_API_KEY = "server-atlas-key"
getAIModel({
provider: "atlascloud",
modelId: "qwen/qwen3.5-flash",
})
expect(createOpenAIMock).toHaveBeenCalledWith({
apiKey: "server-atlas-key",
baseURL: "https://api.atlascloud.ai/v1",
})
})
it("uses custom Atlas Cloud base URL when provided", () => {
getAIModel({
provider: "atlascloud",
apiKey: "client-atlas-key",
baseUrl: "https://proxy.example.com/v1",
modelId: "deepseek-ai/deepseek-v4-pro",
})
expect(createOpenAIMock).toHaveBeenCalledWith({
apiKey: "client-atlas-key",
baseURL: "https://proxy.example.com/v1",
})
})
})
describe("Kimi provider uses createDeepSeek for reasoning_content support", () => {
let createDeepSeekMock: ReturnType<typeof vi.fn>
const savedEnv: Record<string, string | undefined> = {}

View File

@@ -0,0 +1,271 @@
import { describe, expect, it } from "vitest"
import {
DEFAULT_MAX_OUTPUT_TOKENS,
parseOutputTokenLimit,
resolveMaxOutputTokens,
withOutputTokenLimitFallback,
} from "@/lib/output-token-limit"
describe("parseOutputTokenLimit", () => {
it("reads the ceiling from a Bedrock rejection", () => {
const error = {
message:
"The maximum tokens you requested exceeds the model limit of 4096. Try again with a maximum tokens value that is lower than 4096.",
}
expect(parseOutputTokenLimit(error)).toBe(4096)
})
it("subtracts the input when the ceiling covers input plus output", () => {
const error = {
message:
"This endpoint's maximum context length is 64000 tokens. However, you requested about 64025 tokens (25 of text input, 64000 in the output).",
}
// 64000 - 25 - 1024 margin
expect(parseOutputTokenLimit(error)).toBe(62951)
})
it("reads the ceiling from an Anthropic rejection", () => {
const error = {
message:
"max_tokens: 200000 > 64000, which is the maximum allowed number of output tokens for claude-sonnet-4-5",
}
expect(parseOutputTokenLimit(error)).toBe(64000)
})
it("reads the ceiling from an OpenAI rejection", () => {
const error = {
message:
"max_tokens is too large: 64000. This model supports at most 16384 completion tokens",
}
expect(parseOutputTokenLimit(error)).toBe(16384)
})
it("looks in the response body too", () => {
const error = {
message: "Bad request",
responseBody: '{"message":"exceeds the model limit of 10000."}',
}
expect(parseOutputTokenLimit(error)).toBe(10000)
})
it("returns null for unrelated errors", () => {
expect(parseOutputTokenLimit({ message: "Invalid API key" })).toBeNull()
expect(parseOutputTokenLimit(undefined)).toBeNull()
})
it("ignores a number that is not about tokens", () => {
// An earlier draft matched "lower than N" generically, which turned any
// message shaped like this into a bogus budget
expect(
parseOutputTokenLimit({
message: "temperature must be lower than 2",
statusCode: 400,
}),
).toBeNull()
expect(
parseOutputTokenLimit({
message: "reduce requests to lower than 60 per minute",
statusCode: 429,
}),
).toBeNull()
})
it("skips errors whose status is not a bad request", () => {
const error = {
message: "exceeds the model limit of 4096",
statusCode: 429,
}
expect(parseOutputTokenLimit(error)).toBeNull()
})
it("rejects a ceiling too small to hold a diagram", () => {
expect(
parseOutputTokenLimit({ message: "model limit of 200" }),
).toBeNull()
// Context ceiling that leaves almost nothing after the input
expect(
parseOutputTokenLimit({
message:
"This endpoint's maximum context length is 64000 tokens. However, you requested about 128000 tokens (63500 of text input, 64000 in the output).",
}),
).toBeNull()
})
it("returns null when the input alone fills the context", () => {
const error = {
message:
"This endpoint's maximum context length is 1000 tokens. However, you requested about 65000 tokens (64000 of text input, 1000 in the output).",
}
expect(parseOutputTokenLimit(error)).toBeNull()
})
})
describe("resolveMaxOutputTokens", () => {
it("uses a valid header value", () => {
expect(resolveMaxOutputTokens("32000")).toBe(32000)
})
it("falls back to the default for missing or bogus values", () => {
expect(resolveMaxOutputTokens(null)).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
expect(resolveMaxOutputTokens("")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
expect(resolveMaxOutputTokens("abc")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
expect(resolveMaxOutputTokens("0")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
expect(resolveMaxOutputTokens("-5")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
expect(resolveMaxOutputTokens("1.5")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
// Above the sanity ceiling, e.g. an extra zero
expect(resolveMaxOutputTokens("640000")).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
})
it("uses the env value when no header is sent, and validates it too", () => {
const original = process.env.MAX_OUTPUT_TOKENS
try {
process.env.MAX_OUTPUT_TOKENS = "24000"
expect(resolveMaxOutputTokens(null)).toBe(24000)
// Header still wins
expect(resolveMaxOutputTokens("8000")).toBe(8000)
process.env.MAX_OUTPUT_TOKENS = "-1"
expect(resolveMaxOutputTokens(null)).toBe(DEFAULT_MAX_OUTPUT_TOKENS)
} finally {
if (original === undefined) delete process.env.MAX_OUTPUT_TOKENS
else process.env.MAX_OUTPUT_TOKENS = original
}
})
})
/** Minimal stand-in for a v3 language model that records what it was asked for. */
function fakeModel(
behaviors: Array<() => Promise<unknown>>,
): [any, Array<Record<string, unknown>>] {
const calls: Array<Record<string, unknown>> = []
let index = 0
const model = {
specificationVersion: "v3" as const,
provider: "test",
modelId: "test-model",
supportedUrls: {},
doGenerate: async () => {
throw new Error("not used")
},
doStream: async (options: Record<string, unknown>) => {
calls.push(options)
const behavior = behaviors[index] ?? behaviors[behaviors.length - 1]
index++
return behavior()
},
}
return [model, calls]
}
const STREAM_OK = { stream: new ReadableStream() }
describe("withOutputTokenLimitFallback", () => {
it("retries once with the ceiling named in the rejection", async () => {
const [model, calls] = fakeModel([
() =>
Promise.reject(
Object.assign(
new Error("exceeds the model limit of 4096"),
{ statusCode: 400 },
),
),
() => Promise.resolve(STREAM_OK),
])
const wrapped = withOutputTokenLimitFallback(model)
await wrapped.doStream({ prompt: [], maxOutputTokens: 64000 } as any)
expect(calls.map((c) => c.maxOutputTokens)).toEqual([64000, 4096])
})
it("does not retry an error it cannot attribute to the budget", async () => {
const [model, calls] = fakeModel([
() =>
Promise.reject(
Object.assign(new Error("Invalid API key"), {
statusCode: 401,
}),
),
])
const wrapped = withOutputTokenLimitFallback(model)
await expect(
wrapped.doStream({ prompt: [], maxOutputTokens: 64000 } as any),
).rejects.toThrow("Invalid API key")
expect(calls).toHaveLength(1)
})
it("does not retry when the ceiling is not actually smaller", async () => {
const [model, calls] = fakeModel([
() =>
Promise.reject(
Object.assign(
new Error("exceeds the model limit of 64000"),
{ statusCode: 400 },
),
),
])
const wrapped = withOutputTokenLimitFallback(model)
await expect(
wrapped.doStream({ prompt: [], maxOutputTokens: 64000 } as any),
).rejects.toThrow()
expect(calls).toHaveLength(1)
})
it("retries at most once, so a second rejection propagates", async () => {
const [model, calls] = fakeModel([
() =>
Promise.reject(
Object.assign(
new Error("exceeds the model limit of 4096"),
{ statusCode: 400 },
),
),
() =>
Promise.reject(
Object.assign(
new Error("exceeds the model limit of 2048"),
{ statusCode: 400 },
),
),
])
const wrapped = withOutputTokenLimitFallback(model)
await expect(
wrapped.doStream({ prompt: [], maxOutputTokens: 64000 } as any),
).rejects.toThrow("model limit of 2048")
expect(calls).toHaveLength(2)
})
it("keeps the other call options when retrying", async () => {
const [model, calls] = fakeModel([
() =>
Promise.reject(
Object.assign(
new Error("exceeds the model limit of 4096"),
{ statusCode: 400 },
),
),
() => Promise.resolve(STREAM_OK),
])
const wrapped = withOutputTokenLimitFallback(model)
await wrapped.doStream({
prompt: [],
maxOutputTokens: 64000,
temperature: 0.4,
providerOptions: {
bedrock: { reasoningConfig: { type: "enabled" } },
},
} as any)
expect(calls[1].temperature).toBe(0.4)
expect(calls[1].providerOptions).toEqual({
bedrock: { reasoningConfig: { type: "enabled" } },
})
})
})

View File

@@ -39,6 +39,22 @@ describe("ServerModelsConfigSchema", () => {
expect(() => ServerModelsConfigSchema.parse(config)).not.toThrow()
})
it("accepts Atlas Cloud provider names", () => {
const config: ServerModelsConfig = {
providers: [
{
name: "Atlas Cloud Server",
provider: "atlascloud",
models: ["qwen/qwen3.5-flash"],
apiKeyEnv: "ATLASCLOUD_API_KEY",
baseUrlEnv: "ATLASCLOUD_BASE_URL",
},
],
}
expect(() => ServerModelsConfigSchema.parse(config)).not.toThrow()
})
it("rejects invalid provider names", () => {
const invalidConfig = {
providers: [

View File

@@ -1,21 +1,79 @@
import { describe, expect, it } from "vitest"
import { beforeEach, describe, expect, it, vi } from "vitest"
import { isPrivateUrl } from "@/lib/ssrf-protection"
// Mock DNS so tests are deterministic and never hit the network.
const lookupMock = vi.hoisted(() => vi.fn())
vi.mock("node:dns/promises", () => ({
default: { lookup: lookupMock },
lookup: lookupMock,
}))
describe("isPrivateUrl", () => {
it("blocks private IPv6 URLs", () => {
expect(isPrivateUrl("http://[::1]/")).toBe(true)
expect(isPrivateUrl("http://[0:0:0:0:0:0:0:1]/")).toBe(true)
expect(isPrivateUrl("http://[::]/")).toBe(true)
expect(isPrivateUrl("http://[::ffff:127.0.0.1]/")).toBe(true)
expect(isPrivateUrl("http://[fc00::1]/")).toBe(true)
expect(isPrivateUrl("http://[fd12:3456:789a::1]/")).toBe(true)
expect(isPrivateUrl("http://[fe80::1]/")).toBe(true)
expect(isPrivateUrl("http://[fe9f::1]/")).toBe(true)
expect(isPrivateUrl("http://[febf::1]/")).toBe(true)
beforeEach(() => {
lookupMock.mockReset()
})
it("allows public URLs", () => {
expect(isPrivateUrl("https://example.com/article")).toBe(false)
expect(isPrivateUrl("https://fc00.example.com/article")).toBe(false)
it("blocks private IPv6 URLs (string-only fast path, no DNS)", async () => {
expect(await isPrivateUrl("http://[::1]/")).toBe(true)
expect(await isPrivateUrl("http://[0:0:0:0:0:0:0:1]/")).toBe(true)
expect(await isPrivateUrl("http://[::]/")).toBe(true)
expect(await isPrivateUrl("http://[::ffff:127.0.0.1]/")).toBe(true)
expect(await isPrivateUrl("http://[fc00::1]/")).toBe(true)
expect(await isPrivateUrl("http://[fd12:3456:789a::1]/")).toBe(true)
expect(await isPrivateUrl("http://[fe80::1]/")).toBe(true)
expect(await isPrivateUrl("http://[fe9f::1]/")).toBe(true)
expect(await isPrivateUrl("http://[febf::1]/")).toBe(true)
expect(lookupMock).not.toHaveBeenCalled()
})
it("blocks literal private IPv4 without DNS", async () => {
expect(await isPrivateUrl("http://127.0.0.1/")).toBe(true)
expect(await isPrivateUrl("http://10.0.0.5/")).toBe(true)
expect(await isPrivateUrl("http://192.168.1.1/")).toBe(true)
expect(await isPrivateUrl("http://169.254.169.254/")).toBe(true)
expect(await isPrivateUrl("http://0.0.0.0/")).toBe(true)
// 100.64.0.0/10 CGNAT (RFC 6598), routable in some cloud internal nets
expect(await isPrivateUrl("http://100.64.0.1/")).toBe(true)
expect(await isPrivateUrl("http://100.127.255.255/")).toBe(true)
expect(lookupMock).not.toHaveBeenCalled()
})
it("treats CGNAT boundaries correctly", async () => {
// 100.63.x and 100.128.x are outside 100.64.0.0/10 → public
lookupMock.mockResolvedValue([{ address: "100.63.255.255", family: 4 }])
expect(await isPrivateUrl("http://just-below.example/")).toBe(false)
lookupMock.mockResolvedValue([{ address: "100.128.0.1", family: 4 }])
expect(await isPrivateUrl("http://just-above.example/")).toBe(false)
})
it("blocks a hostname that resolves to a private IPv6 address", async () => {
lookupMock.mockResolvedValue([{ address: "fd00::1", family: 6 }])
expect(await isPrivateUrl("http://v6.example.com/")).toBe(true)
})
it("allows public URLs that resolve to public IPs", async () => {
lookupMock.mockResolvedValue([{ address: "93.184.216.34", family: 4 }])
expect(await isPrivateUrl("https://example.com/article")).toBe(false)
})
it("blocks public-looking hostnames that resolve to a private IP (DNS-rebinding-style bypass)", async () => {
// e.g. 127-0-0-1.sslip.io resolves to 127.0.0.1
lookupMock.mockResolvedValue([{ address: "127.0.0.1", family: 4 }])
expect(await isPrivateUrl("http://127-0-0-1.sslip.io/")).toBe(true)
})
it("blocks when any resolved address is private", async () => {
lookupMock.mockResolvedValue([
{ address: "93.184.216.34", family: 4 },
{ address: "10.1.2.3", family: 4 },
])
expect(await isPrivateUrl("http://mixed.example.com/")).toBe(true)
})
it("blocks when DNS resolution fails", async () => {
lookupMock.mockRejectedValue(new Error("ENOTFOUND"))
expect(await isPrivateUrl("http://does-not-resolve.example/")).toBe(
true,
)
})
})

View File

@@ -2,7 +2,7 @@
"functions": {
"app/api/chat/route.ts": {
"memory": 512,
"maxDuration": 120
"maxDuration": 300
},
"app/api/**/route.ts": {
"memory": 256,