Update deployment branch

.github/workflows/claude-code-review.yml

@@ -0,0 +1,37 @@
+name: Claude Code Review
+
+on:
+  workflow_dispatch: 
+
+jobs:
+  claude-review:
+    # Optional: Filter by PR author
+    # if: |
+    #   github.event.pull_request.user.login == 'external-contributor' ||
+    #   github.event.pull_request.user.login == 'new-developer' ||
+    #   github.event.pull_request.author_association == 'FIRST_TIME_CONTRIBUTOR'
+
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: read
+      issues: read
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Run Claude Code Review
+        id: claude-review
+        uses: anthropics/claude-code-action@v1
+        with:
+          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
+          plugin_marketplaces: 'https://github.com/anthropics/claude-code.git'
+          plugins: 'code-review@claude-code-plugins'
+          prompt: '/code-review:code-review ${{ github.repository }}/pull/${{ github.event.pull_request.number }}'
+          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
+          # or https://code.claude.com/docs/en/cli-reference for available options
+

.github/workflows/claude.yml

@@ -0,0 +1,50 @@
+name: Claude Code
+
+on:
+  issue_comment:
+    types: [created]
+  pull_request_review_comment:
+    types: [created]
+  issues:
+    types: [opened, assigned]
+  pull_request_review:
+    types: [submitted]
+
+jobs:
+  claude:
+    if: |
+      (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
+      (github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
+      (github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
+      (github.event_name == 'issues' && (contains(github.event.issue.body, '@claude') || contains(github.event.issue.title, '@claude')))
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: read
+      issues: read
+      id-token: write
+      actions: read # Required for Claude to read CI results on PRs
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Run Claude Code
+        id: claude
+        uses: anthropics/claude-code-action@v1
+        with:
+          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
+
+          # This is an optional setting that allows Claude to read CI results on PRs
+          additional_permissions: |
+            actions: read
+
+          # Optional: Give a custom prompt to Claude. If this is not specified, Claude will perform the instructions specified in the comment that tagged it.
+          # prompt: 'Update the pull request description to include a summary of changes.'
+
+          # Optional: Add claude_args to customize behavior and configuration
+          # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md
+          # or https://code.claude.com/docs/en/cli-reference for available options
+          # claude_args: '--allowed-tools Bash(gh pr:*)'
+

README.md

@@ -13,6 +13,18 @@
 
 </div>
 
+<p align="center">
+  <a href="https://www.producthunt.com/products/forgeopus?embed=true&utm_source=badge-featured&utm_medium=badge&utm_campaign=badge-forgeopus" target="_blank" rel="noopener noreferrer">
+    <img
+      alt="ForgeOpus - Where AI masterpieces are forged. Your work, your opus. | Product Hunt"
+      width="250"
+      height="54"
+      src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=1080450&theme=light&t=1771311433851"
+    />
+  </a>
+</p>
+
+
 <br />
 
 ## ✨ What is VisionForge?

project/block_manager/services/codegen/base.py

@@ -44,6 +44,16 @@ def topological_sort(nodes: List[Dict], edges: List[Dict]) -> List[Dict]:
             if in_degree[neighbor] == 0:
                 queue.append(neighbor)
 
+    # Cycle detection: if not all nodes were sorted, there's a cycle
+    if len(sorted_ids) != len(nodes):
+        # Find nodes that are still in the cycle (have non-zero in-degree)
+        cycle_nodes = [node_id for node_id, degree in in_degree.items() if degree > 0]
+        raise ValueError(
+            f"Graph contains a cycle. Neural networks must be acyclic (feedforward). "
+            f"Nodes involved in cycle: {', '.join(cycle_nodes[:5])}"
+            + (" and more..." if len(cycle_nodes) > 5 else "")
+        )
+
     # Return nodes in sorted order
     return [node_map[node_id] for node_id in sorted_ids if node_id in node_map]
 

project/block_manager/services/codegen/base_orchestrator.py

@@ -129,7 +129,7 @@ def _generate_code_specs(
 
         processable_nodes = [
             n for n in sorted_nodes
-            if get_node_type(n) not in ('input', 'dataloader', 'output')
+            if get_node_type(n) not in ('input', 'dataloader', 'output', 'loss', 'metrics', 'groundtruth')
         ]
 
         for node in processable_nodes:
@@ -193,7 +193,7 @@ def _generate_forward_pass(
 
         processable_nodes = [
             n for n in sorted_nodes
-            if get_node_type(n) not in ('output',)
+            if get_node_type(n) not in ('output', 'loss', 'metrics', 'groundtruth')
         ]
 
         for node in processable_nodes:
@@ -273,7 +273,7 @@ def _generate_config_file(self, nodes: List[Dict[str, Any]]) -> str:
         input_shape = self._extract_input_shape(nodes)
         layer_count = sum(
             1 for n in nodes
-            if get_node_type(n) not in ('input', 'output', 'dataloader')
+            if get_node_type(n) not in ('input', 'output', 'dataloader', 'loss', 'metrics', 'groundtruth')
         )
 
         if layer_count > 20:

project/block_manager/services/codegen/pytorch_group_generator.py

@@ -169,7 +169,7 @@ def _generate_internal_node_specs(
             node_type = get_node_type(node)
 
             # Skip special nodes
-            if node_type in ('input', 'output', 'dataloader'):
+            if node_type in ('input', 'output', 'dataloader', 'loss'):
                 continue
 
             node_id = node['id']
@@ -273,8 +273,8 @@ def _generate_forward_pass(
                         var_map[node_id] = var_name
                 continue
 
-            # Skip output and dataloader nodes (they don't produce code)
-            if node_type in ('output', 'dataloader'):
+            # Skip output, dataloader, and loss nodes (they don't produce code)
+            if node_type in ('output', 'dataloader', 'loss'):
                 continue
 
             # Get the spec for this node