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Ai bankofai patch 1#38

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ai-bankofai-patch-1
Mar 30, 2026
Merged

Ai bankofai patch 1#38
Will-Guan merged 6 commits intomainfrom
ai-bankofai-patch-1

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Code Review Report

Project: bankofai/docs (x402-tron docs)
PR: main -> ai-bankofai-patch-1
Review Date: 2026-03-30
Reviewer: AI Code Reviewer (Code Review Skill v1.0.0)


PR Overview

Branch Information

Property Value
From Branch main
To Branch ai-bankofai-patch-1
Commits 4 (including merge commit)
Files Changed 7
Lines Added +155
Lines Removed -1

Commit History

Hash Message
3829c99 Merge branch 'main' into ai-bankofai-patch-1
c27d6a7 add deepseek-v3.2
c2c3309 Update deepseek-v3.2.md
f24ae66 Create deepseek-v3.2.md
2d89b9b Create deepseek-v3.2.md

Review Summary

Verdict

Verdict: ❌ Request Changes

Findings at a Glance

Critical Major Minor Suggestion
Count 1 3 2 2

Summary

This PR adds documentation for the DeepSeek-V3.2 model (English and Chinese versions), registers it in both sidebars, bumps the package version to 1.2.5, and introduces a new release-publish.yml CI workflow for automated Docker image publishing on push to main.

The documentation additions are well-structured with bilingual support and good markdown formatting. However, the PR contains one critical defect that will completely break the release CI pipeline: the release-publish.yml file has its entire content duplicated, producing an invalid YAML file. Additionally, the new release workflow references an undefined output (labels) and omits a latest Docker tag. There is also a potentially misleading factual claim in the model documentation around output token limits.

The critical workflow duplication must be fixed before merge as it will cause the release pipeline to be non-functional the moment it is merged to main.


Change Summary

1. DeepSeek-V3.2 Model Documentation

File Change Type Description
docs/llmservice/models/deepseek-v3.2.md Added English documentation for the DeepSeek-V3.2 model
i18n/zh-Hans/docusaurus-plugin-content-docs/current/llmservice/models/deepseek-v3.2.md Added Chinese (Simplified) translation of the same documentation

Purpose: Introduce the DeepSeek-V3.2 model page to the docs site, covering key features, best use cases, capabilities/limitations table, and credit pricing.


2. Sidebar Registration

File Change Type Description
sidebars.js Modified Added llmservice/models/deepseek-v3.2 entry to the main sidebar Models list
i18n/zh-Hans/docusaurus-plugin-content-docs/current/sidebars.js Modified Same entry added to the Chinese sidebar

Purpose: Make the new DeepSeek-V3.2 doc page navigable in both the English and Chinese sidebar menus.


3. Release CI Workflow

File Change Type Description
.github/workflows/release-publish.yml Modified Adds (intended) a new build-and-publish job that builds and pushes a versioned Docker image to Docker Hub on every push to main

Purpose: Automate Docker image publishing as part of the release process, tagging images with the version from package.json.


4. Docker CI Trigger Update

File Change Type Description
.github/workflows/docker.yml Modified Adds ai-bankofai-patch-1 to the push and pull_request branch triggers

Purpose: Enables the existing Docker build CI to run on this feature branch during development.


5. Version Bump

File Change Type Description
package.json Modified Version bumped from 1.2.41.2.5

Purpose: Reflects the new model addition in the semver.


Detailed Findings


Critical

[C-01] release-publish.yml Entire File Is Duplicated — YAML Is Invalid

Property Value
Severity Critical
Category Correctness
File .github/workflows/release-publish.yml : Lines 55–108

Description

The release-publish.yml file on the feature branch is 108 lines — exactly double the 54 lines on main. The entire file content (the complete name, on, env, and jobs blocks) is present twice in sequence. YAML does not allow duplicate top-level keys; parsers either error out or silently override with the last value. GitHub Actions will treat this as a malformed workflow. Confirmed by comparing line counts:

  • main: 54 lines
  • ai-bankofai-patch-1: 108 lines (2× duplication)

Code

# --- First copy ends here (line 54) ---
          platforms: linux/amd64

# --- Second copy begins (line 55) ---
name: Release Publish

on:
  push:
    branches:
      - main

env:
  IMAGE_NAME: bankofai/docs

jobs:
  build-and-publish:
    ...

Recommendation

Remove the duplicate block. The final file should contain only the first copy of the workflow (lines 1–54 as they appear on main). The diff indicates this was caused by prepending new content in front of the original file without removing the original, resulting in the entire content being doubled.

# Correct file — single copy only:
name: Release Publish

on:
  push:
    branches:
      - main

env:
  IMAGE_NAME: bankofai/docs

jobs:
  build-and-publish:
    runs-on: ubuntu-latest
    ...

Major

[MJ-01] Undefined labels Output Referenced in release-publish.yml

Property Value
Severity Major
Category Correctness
File .github/workflows/release-publish.yml : Lines 46–51

Description

The Build and push Docker image step references ${{ steps.meta.outputs.labels }}, but the meta step is a custom run step that only sets the tags output — it never sets a labels output. This means labels resolves to an empty string. No OCI image labels (e.g., org.opencontainers.image.version, org.opencontainers.image.revision) will be attached to the published image, which harms traceability and provenance.

By contrast, docker.yml correctly uses docker/metadata-action@v5 which natively generates both tags and labels outputs.

Code

# meta step — only sets `tags`, never `labels`
- name: Set Docker tags
  id: meta
  run: |
    echo "tags<<EOF" >> $GITHUB_OUTPUT
    echo "${{ env.IMAGE_NAME }}:${{ steps.version.outputs.VERSION }}" >> $GITHUB_OUTPUT
    echo "EOF" >> $GITHUB_OUTPUT

# Build step — references non-existent `labels` output
- name: Build and push Docker image
  uses: docker/build-push-action@v6
  with:
    tags: ${{ steps.meta.outputs.tags }}
    labels: ${{ steps.meta.outputs.labels }}   # ← always empty

Recommendation

Either remove the labels: line (acceptable if image labels are not required), or switch to docker/metadata-action@v5 for consistency with docker.yml:

- name: Extract Docker metadata
  id: meta
  uses: docker/metadata-action@v5
  with:
    images: ${{ env.IMAGE_NAME }}
    tags: |
      type=raw,value=${{ steps.version.outputs.VERSION }}
      type=raw,value=latest

# Then the build step can reference both outputs correctly:
#   tags:   ${{ steps.meta.outputs.tags }}
#   labels: ${{ steps.meta.outputs.labels }}

[MJ-02] No latest Docker Tag Published in Release Workflow

Property Value
Severity Major
Category Correctness
File .github/workflows/release-publish.yml : Lines 38–43

Description

The release workflow only pushes the image under the version-specific tag (e.g., bankofai/docs:1.2.5). No latest tag is ever set. This means:

  • Operators running docker pull bankofai/docs (without a tag) will receive a stale or missing image.
  • Any downstream systems using bankofai/docs:latest as a reference will never receive updates.
  • The Docker Hub listing will show no latest digest.

Code

- name: Set Docker tags
  id: meta
  run: |
    echo "tags<<EOF" >> $GITHUB_OUTPUT
    echo "${{ env.IMAGE_NAME }}:${{ steps.version.outputs.VERSION }}" >> $GITHUB_OUTPUT
    # ← no `latest` tag
    echo "EOF" >> $GITHUB_OUTPUT

Recommendation

Add a latest tag alongside the versioned tag. If using docker/metadata-action@v5 (see MJ-01 recommendation), this is straightforward:

tags: |
  type=raw,value=${{ steps.version.outputs.VERSION }}
  type=raw,value=latest

[MJ-03] Potentially Inaccurate "Max Output: 164K Tokens" Claim in Documentation

Property Value
Severity Major
Category Documentation
File docs/llmservice/models/deepseek-v3.2.md : Lines 36–40; i18n/zh-Hans/.../deepseek-v3.2.md : Lines 36–40

Description

The capabilities table states both Context Window and Max Output are 164K Tokens. While a 164K context window is plausible for a future model, claiming 164K tokens of output per request is extremely unusual and almost certainly incorrect. Publicly available DeepSeek models have max output limits in the range of 8K–32K tokens. Misleading users about output limits could result in failed integrations, unexpected truncation, or incorrect cost estimates.

Code

| **Context Window** | **164K Tokens** (Supports massive document ingestion) |
| **Max Output**     | **164K Tokens** (Industry-leading generation limit)   |

Recommendation

Verify the actual max output token limit for DeepSeek-V3.2 against the official DeepSeek API documentation or internal service configuration. Update the table to reflect the accurate value. If input context and output limits differ, they should be documented separately and clearly:

| **Context Window** | **164K Tokens** (Supports massive document ingestion) |
| **Max Output**     | **8K Tokens** (verify exact limit with DeepSeek API docs) |

Minor

[MN-01] Feature Branch Permanently Hardcoded in docker.yml Triggers

Property Value
Severity Minor
Category Code Quality
File .github/workflows/docker.yml : Lines 9, 16

Description

The feature branch ai-bankofai-patch-1 is hardcoded into both the push and pull_request trigger lists of docker.yml. Once this PR is merged and the feature branch is deleted, these references become dead configuration. They do not cause failures but add noise and may confuse future maintainers who see a deleted branch in CI triggers.

Code

on:
  push:
    branches:
      - main
      - master
      - update-mcp-server
      - ai-bankofai-patch-1    # ← will be orphaned after merge
  pull_request:
    branches:
      - main
      - master
      - update-mcp-server
      - ai-bankofai-patch-1    # ← will be orphaned after merge

Recommendation

Remove both ai-bankofai-patch-1 entries from docker.yml before merging. If CI coverage is needed for feature branches generically, consider using a wildcard pattern or workflow_dispatch. Note that workflow_dispatch is already present and allows manual builds from any branch.


[MN-02] Unnecessary id-token: write Permission in Release Workflow

Property Value
Severity Minor
Category Security
File .github/workflows/release-publish.yml : Lines 14–16

Description

The build-and-publish job requests the id-token: write permission, which grants the job the ability to request an OIDC JWT token for federated cloud authentication (e.g., AWS, GCP, Azure). The workflow does not use OIDC — it authenticates to Docker Hub via username/password secrets. Granting unused permissions violates the principle of least privilege and enlarges the blast radius if the job is ever compromised.

Code

permissions:
  id-token: write   # ← not needed; no OIDC usage in this workflow
  contents: read

Recommendation

Remove id-token: write. The only permission required by this workflow is contents: read (for actions/checkout):

permissions:
  contents: read

Suggestions

[S-01] Consolidate Tag/Label Logic Using docker/metadata-action@v5

File: .github/workflows/release-publish.yml
Description: The release-publish.yml uses a manual run step to build Docker tags, while docker.yml uses the purpose-built docker/metadata-action@v5 action. This inconsistency means release-publish.yml misses automatic OCI label generation and is harder to extend.
Suggestion: Use docker/metadata-action@v5 in release-publish.yml for consistency, automatic label generation, and simpler tag management. This also resolves MJ-01 and MJ-02 in one change.


[S-02] Add linux/arm64 to Docker Build Platforms

File: .github/workflows/release-publish.yml (and docker.yml)
Description: Both workflows only target linux/amd64. As ARM-based cloud instances (AWS Graviton, GCP Tau T2A) and Apple Silicon-based development machines become more prevalent, a single-platform image limits deployment flexibility.
Suggestion: Consider adding linux/arm64 to the platforms list in the release workflow if the application is architecture-agnostic:

platforms: linux/amd64,linux/arm64

Positive Observations

Area Observation
Bilingual Documentation The PR provides both English and Chinese versions of the model doc, maintaining i18n parity — a good practice for an internationalized docs site.
Sidebar Ordering The new deepseek-v3.2 entry is correctly placed in alphabetical order between claude-sonnet-4-6 and gemini-3-1-pro in both sidebar files.
Documentation Structure The deepseek-v3.2.md page follows the established format of other model pages with consistent use of overview, features, use cases, capabilities table, and pricing sections.
Secret Handling Docker Hub credentials are correctly sourced from GitHub Secrets (${{ secrets.DOCKERHUB_USERNAME }} / ${{ secrets.DOCKERHUB_TOKEN }}) — no hardcoded credentials.
Build Caching The new release workflow correctly configures GitHub Actions cache (type=gha) for both cache-from and cache-to, which will speed up subsequent Docker builds.
Version Pinning GitHub Actions are pinned to major versions (@v4, @v5, @v6) rather than floating @latest, reducing supply-chain risk.

Checklist Results

Category Items Checked Pass Fail N/A Notes
Correctness 8 5 3 0 Workflow duplication (C-01), undefined labels output (MJ-01), missing latest tag (MJ-02)
Security 5 4 1 0 Unnecessary id-token: write permission (MN-02); secrets are properly used
Performance 3 3 0 0 GHA caching configured; single-platform build is acceptable
Code Quality 5 4 1 0 Orphaned branch trigger in docker.yml (MN-01)
Testing 4 0 0 4 Documentation-only + CI config changes; no app logic to unit test
Documentation 5 4 1 0 Max output token claim likely inaccurate (MJ-03)
Compatibility 3 3 0 0 Version bump is semver-compliant; sidebar additions are non-breaking
Observability 2 1 1 0 Missing OCI image labels (MJ-01); build caching is in place

Disclaimer

This is an automated code review. It supplements but does not replace human review. The reviewer analyzed only the diff between the specified branches (main...ai-bankofai-patch-1). Runtime behavior, integration testing, and deployment impact are not covered. Factual accuracy of model documentation claims (token limits, benchmark performance) should be validated against the official DeepSeek API documentation and internal service configuration.


Report generated by Code Review Skill v1.0.0
Date: 2026-03-30

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Code Review Report

Project: @x402-tron/docs (BofAI Documentation Site)
PR: main -> ai-bankofai-patch-1
Review Date: 2026-03-30
Reviewer: AI Code Reviewer (Code Review Skill v1.0.0)


PR Overview

Branch Information

Property Value
From Branch main
To Branch ai-bankofai-patch-1
Commits 6 (including 1 merge commit, 1 cleanup commit)
Files Changed 6
Lines Added +101
Lines Removed -1

Commit History

Hash Message
eaff73d delete Duplicate content
3829c99 Merge branch 'main' into ai-bankofai-patch-1
c27d6a7 add deepseek-v3.2
c2c3309 Update deepseek-v3.2.md
f24ae66 Create deepseek-v3.2.md
2d89b9b Create deepseek-v3.2.md

Review Summary

Verdict

Verdict: Request Changes

Findings at a Glance

Critical Major Minor Suggestion
Count 0 2 3 2

Summary

This PR adds documentation for the DeepSeek-V3.2 model to the documentation site — a new English model page, its Chinese (zh-Hans) i18n counterpart, sidebar registrations in both locales, a version bump in package.json, and a CI/CD change to trigger Docker builds on this feature branch. The intent is straightforward and the structure is sound.

However, two major issues require attention before merging. First, the claim that DeepSeek-V3.2 has a max output of 164K tokens appears technically inaccurate — this equals the stated context window, which is atypical for LLMs and is not supported by publicly available DeepSeek-V3.2 specifications. Second, including this feature branch in the permanent Docker CI trigger list causes the Docker image tagged test to be pushed to Docker Hub on every commit to this branch, which risks polluting the shared image registry from an in-progress feature branch. Several minor style and consistency issues are also present relative to existing model docs.


Change Summary

1. New Model Documentation — DeepSeek-V3.2

File Change Type Description
docs/llmservice/models/deepseek-v3.2.md Added English model documentation page
i18n/zh-Hans/docusaurus-plugin-content-docs/current/llmservice/models/deepseek-v3.2.md Added Chinese (Simplified) model documentation page

Purpose: Introduce DeepSeek-V3.2 to the platform's model catalogue with overview, key features, use cases, capabilities table, and pricing.


2. Sidebar Navigation Registration

File Change Type Description
sidebars.js Modified Added llmservice/models/deepseek-v3.2 entry
i18n/zh-Hans/docusaurus-plugin-content-docs/current/sidebars.js Modified Added llmservice/models/deepseek-v3.2 entry

Purpose: Register the new model page so it appears in both the English and Chinese site navigation under the "Models" category.


3. CI/CD Pipeline Change

File Change Type Description
.github/workflows/docker.yml Modified Added ai-bankofai-patch-1 to push and pull_request branch triggers

Purpose: Trigger Docker CI builds when this feature branch is pushed or receives a PR.


4. Version Bump

File Change Type Description
package.json Modified Version bumped from 1.2.41.2.5

Purpose: Reflect the addition of new model content in the package version.


Detailed Findings


Major

[MJ-01] Inaccurate "Max Output: 164K Tokens" Claim

Property Value
Severity Major
Category Correctness / Documentation
File docs/llmservice/models/deepseek-v3.2.md : Line 38
File (i18n) i18n/zh-Hans/.../deepseek-v3.2.md : Line 38

Description

The capabilities table lists Max Output as 164K Tokens, identical to the stated Context Window. For LLMs, the maximum output tokens is always smaller than — and is a separate specification from — the context window (input). No public technical documentation for DeepSeek-V3.2 confirms a 164K token max output. The known maximum output for DeepSeek V3-class models is significantly lower (reportedly 8,192 tokens in standard configurations). Publishing an incorrect max output figure is a material misrepresentation that could cause users to make incorrect architectural decisions.

Code

| **Context Window** | **164K Tokens** (Supports massive document ingestion) |
| **Max Output**     | **164K Tokens** (Industry-leading generation limit) |

Recommendation

Verify the actual max output token limit from DeepSeek's official API documentation and replace accordingly. If the confirmed max output is, for example, 8K tokens:

| **Context Window** | **164K Tokens** (Supports massive document ingestion) |
| **Max Output**     | **8K Tokens** |

Also apply the same correction to the Chinese i18n counterpart.


[MJ-02] Feature Branch Added as Permanent Docker CI Trigger

Property Value
Severity Major
Category Correctness / Observability (CI/CD)
File .github/workflows/docker.yml : Lines 9, 17

Description

Adding ai-bankofai-patch-1 — a short-lived feature branch — to the permanent push and pull_request trigger lists in the Docker workflow causes the Docker image tagged test to be built and pushed to Docker Hub on every commit pushed to this branch (since the workflow's push condition is github.event_name != 'pull_request'). This means every intermediate commit during development of this feature (including potentially broken states) overwrites the shared bankofai/docs:test image in Docker Hub. This is the same image tag used by other branches. The existing comment # Intentionally unrestricted only applies to workflow_dispatch, not to these branch triggers.

Code

on:
  push:
    branches:
      - main
      - master
      - update-mcp-server
+     - ai-bankofai-patch-1   # <-- triggers push to Docker Hub on every commit
  pull_request:
    branches:
      - main
      - master
      - update-mcp-server
+     - ai-bankofai-patch-1   # <-- triggers a build on every PR targeting this branch

Recommendation

Remove ai-bankofai-patch-1 from both trigger lists before merging to main. Feature branches should not be registered as permanent CI targets. If Docker build validation is needed during development, use workflow_dispatch (which is already unrestricted) or a dedicated non-push CI job.

  push:
    branches:
      - main
      - master
      - update-mcp-server
      # Do not add feature branches here
  pull_request:
    branches:
      - main
      - master
      - update-mcp-server

Minor

[MN-01] Documentation Style Inconsistent with Existing Model Pages

Property Value
Severity Minor
Category Code Quality / Documentation
File docs/llmservice/models/deepseek-v3.2.md : Throughout

Description

The new DeepSeek-V3.2 page uses formatting conventions that differ significantly from every other model page in the repository:

  • Emoji section headers (🚀 Key Features, 💡 Best Use Cases, 📊 Capabilities, 💰 Credits) — no other model page uses emojis.
  • Horizontal rule separators (---) between every section — other pages do not use these.
  • Heavy bold markdown in the Overview paragraph — other pages use plain prose.
  • Numbered list for Best Use Cases — other pages use unordered bullet lists.

This creates a visually inconsistent experience in the sidebar when users browse between model pages.

Recommendation

Align the new page's formatting to match the style of existing pages such as gemini-3-1-pro.md:

  • Remove emoji from section headers.
  • Remove --- separators.
  • Use unordered lists for Best Use Cases.
  • Reduce bold usage in the overview to only key terms.

Apply the same changes to the i18n counterpart.


[MN-02] Pricing Table Format Inconsistency

Property Value
Severity Minor
Category Code Quality / Documentation
File docs/llmservice/models/deepseek-v3.2.md : Lines 46-48

Description

The existing model pages (e.g., gemini-3-1-pro.md) express pricing as Credits per Token (e.g., 2.00 per Token). The new DeepSeek-V3.2 page uses Credits per 1K Tokens (e.g., 0.27 per 1K Tokens). Both the column headers and the unit differ. Users comparing models across pages will encounter ambiguous and inconsistent pricing granularity.

Code

# Existing pages (gemini-3-1-pro.md):
| Model | Input (Credits/Token) | Output (Credits/Token) |
| **Gemini 3.1 pro** | 2.00 | 12.00 |

# New page (deepseek-v3.2.md):
| Model | Input (Credits/1K Tokens) | Output (Credits/1K Tokens) |
| **DeepSeek-V3.2** | `0.27` | `0.42` |

Recommendation

Standardize the pricing unit across all model pages. Either:

  1. Update DeepSeek-V3.2 to use Credits/Token format (e.g., 0.00027 / 0.00042), or
  2. Update all existing model pages to use Credits/1K Tokens (preferred — more readable for small values).

Choose a standard and apply it consistently. Also note the new page uses backtick code formatting on the price values (`0.27`), while existing pages do not — this should also be normalized.


[MN-03] Missing "Response Speed" Row in Capabilities Table

Property Value
Severity Minor
Category Documentation
File docs/llmservice/models/deepseek-v3.2.md : Lines 32-38

Description

All existing model documentation pages include a Response Speed row in the Capabilities and Limitations table (e.g., gemini-3-1-pro.md line 24: | **Response Speed** | **Medium to Slow.** ...). The DeepSeek-V3.2 page omits this row entirely, making the capabilities table incomplete and inconsistent with user expectations.

Recommendation

Add a Response Speed entry based on known performance characteristics of DeepSeek-V3.2:

| **Response Speed** | **Fast to Medium**. DSA mechanism enables faster long-context responses compared to dense attention models. |

Apply the same to the zh-Hans counterpart.


Suggestions

[S-01] Trailing Whitespace on Document Title Line

File: docs/llmservice/models/deepseek-v3.2.md : Line 1

Description: The document title # DeepSeek-V3.2 has two trailing spaces (# DeepSeek-V3.2 ). While this is valid Markdown (it renders as a line break), it is unintentional here on a heading and may show up as a lint warning in some editors or CI tools.

Suggestion: Remove the trailing whitespace: # DeepSeek-V3.2


[S-02] Messy Commit History Suggests Draft-Quality Workflow

File: N/A (Git history)

Description: The commit history for this branch includes two separate Create deepseek-v3.2.md commits (2d89b9b, f24ae66), a subsequent Update commit, a delete Duplicate content commit, and a manual merge from main. This pattern indicates the branch was used in a draft/experimental manner with direct GitHub web editor commits, resulting in a noisy history that would pollute main's log. Consider squashing before merge.

Suggestion: Squash the branch commits into a single clean commit (e.g., docs: add DeepSeek-V3.2 model page (EN + zh-Hans)) before merging to keep main's history clean.


Positive Observations

Area Observation
i18n Coverage Both English and Chinese (Simplified) documentation files are added simultaneously — good practice for a bilingual documentation site.
Sidebar Registration Both sidebars.js (English) and the i18n sidebars.js (Chinese) are updated in lockstep, ensuring the page is discoverable in both locales.
Placement in Sidebar deepseek-v3.2 is inserted in alphabetical order between claude-sonnet-4-6 and gemini-3-1-pro, maintaining the existing alphabetical-by-provider-name ordering.
Docker Login Safety The existing workflow correctly gates Docker Hub login and image push behind github.event_name != 'pull_request', preventing credential exposure on PR builds.
Version Bump A patch version bump (1.2.41.2.5) correctly accompanies the content addition, following semantic versioning conventions for documentation updates.
Pricing Note The explicit note "Consumption is calculated per 1,000 Tokens" is a helpful clarification for users, even if the unit format needs standardization.

Checklist Results

Category Items Checked Pass Fail N/A Notes
Correctness 4 3 1 4 Max Output spec appears inaccurate (MJ-01)
Security 8 8 0 0 No credentials, secrets, or vulnerabilities found
Performance 7 7 0 0 N/A for documentation; Docker layer caching present
Code Quality 10 7 3 3 Emoji headers, pricing inconsistency, trailing whitespace
Testing 7 7 0 0 N/A for documentation changes
Documentation 6 4 1 1 Missing Response Speed row; inconsistent formatting
Compatibility 5 5 0 0 Sidebar entries correctly reference valid file paths
Observability 4 2 1 1 Feature branch in CI trigger risks Docker Hub image contamination (MJ-02)

Disclaimer

This is an automated code review. It supplements but does not replace human review. The reviewer analyzed only the diff between main and ai-bankofai-patch-1. Runtime behavior, integration testing, and deployment impact are not covered. Technical accuracy claims (e.g., max output tokens, DSA mechanism) should be verified against DeepSeek AI's official API documentation before publication.


Report generated by Code Review Skill v1.0.0
Date: 2026-03-30

@Will-Guan Will-Guan merged commit 98dbee5 into main Mar 30, 2026
4 checks passed
This was referenced Mar 31, 2026
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3 participants