fix(blocks): disable PrintToConsoleBlock

Disables the Print to Console block as requested by Nick Tindle.

Closes OPEN-3000

.dockerignore

@@ -5,13 +5,42 @@
 !docs/
 
 # Platform - Libs
-!autogpt_platform/autogpt_libs/
+!autogpt_platform/autogpt_libs/autogpt_libs/
+!autogpt_platform/autogpt_libs/pyproject.toml
+!autogpt_platform/autogpt_libs/poetry.lock
+!autogpt_platform/autogpt_libs/README.md
 
 # Platform - Backend
-!autogpt_platform/backend/
+!autogpt_platform/backend/backend/
+!autogpt_platform/backend/test/e2e_test_data.py
+!autogpt_platform/backend/migrations/
+!autogpt_platform/backend/schema.prisma
+!autogpt_platform/backend/pyproject.toml
+!autogpt_platform/backend/poetry.lock
+!autogpt_platform/backend/README.md
+!autogpt_platform/backend/.env
+!autogpt_platform/backend/gen_prisma_types_stub.py
+
+# Platform - Market
+!autogpt_platform/market/market/
+!autogpt_platform/market/scripts.py
+!autogpt_platform/market/schema.prisma
+!autogpt_platform/market/pyproject.toml
+!autogpt_platform/market/poetry.lock
+!autogpt_platform/market/README.md
 
 # Platform - Frontend
-!autogpt_platform/frontend/
+!autogpt_platform/frontend/src/
+!autogpt_platform/frontend/public/
+!autogpt_platform/frontend/scripts/
+!autogpt_platform/frontend/package.json
+!autogpt_platform/frontend/pnpm-lock.yaml
+!autogpt_platform/frontend/tsconfig.json
+!autogpt_platform/frontend/README.md
+## config
+!autogpt_platform/frontend/*.config.*
+!autogpt_platform/frontend/.env.*
+!autogpt_platform/frontend/.env
 
 # Classic - AutoGPT
 !classic/original_autogpt/autogpt/
@@ -35,38 +64,6 @@
 # Classic - Frontend
 !classic/frontend/build/web/
 
-# Explicitly re-ignore unwanted files from whitelisted directories
-# Note: These patterns MUST come after the whitelist rules to take effect
-
-# Hidden files and directories (but keep frontend .env files needed for build)
-**/.*
-!autogpt_platform/frontend/.env
-!autogpt_platform/frontend/.env.default
-!autogpt_platform/frontend/.env.production
-
-# Python artifacts
-**/__pycache__/
-**/*.pyc
-**/*.pyo
-**/.venv/
-**/.ruff_cache/
-**/.pytest_cache/
-**/.coverage
-**/htmlcov/
-
-# Node artifacts
-**/node_modules/
-**/.next/
-**/storybook-static/
-**/playwright-report/
-**/test-results/
-
-# Build artifacts
-**/dist/
-**/build/
-!autogpt_platform/frontend/src/**/build/
-**/target/
-
-# Logs and temp files
-**/*.log
-**/*.tmp
+# Explicitly re-ignore some folders
+.*
+**/__pycache__

.github/workflows/platform-frontend-ci.yml

@@ -26,6 +26,7 @@ jobs:
   setup:
     runs-on: ubuntu-latest
     outputs:
+      cache-key: ${{ steps.cache-key.outputs.key }}
       components-changed: ${{ steps.filter.outputs.components }}
 
     steps:
@@ -40,17 +41,28 @@ jobs:
             components:
               - 'autogpt_platform/frontend/src/components/**'
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
 
-      - name: Install dependencies to populate cache
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Generate cache key
+        id: cache-key
+        run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
+
+      - name: Cache dependencies
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ steps.cache-key.outputs.key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
+
+      - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
   lint:
@@ -61,15 +73,22 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v6
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -92,15 +111,22 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile
@@ -115,8 +141,10 @@ jobs:
           exitOnceUploaded: true
 
   e2e_test:
-    name: end-to-end tests
     runs-on: big-boi
+    needs: setup
+    strategy:
+      fail-fast: false
 
     steps:
       - name: Checkout repository
@@ -124,11 +152,19 @@ jobs:
         with:
           submodules: recursive
 
-      - name: Set up Platform - Copy default supabase .env
+      - name: Set up Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: "22.18.0"
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Copy default supabase .env
         run: |
           cp ../.env.default ../.env
 
-      - name: Set up Platform - Copy backend .env and set OpenAI API key
+      - name: Copy backend .env and set OpenAI API key
         run: |
           cp ../backend/.env.default ../backend/.env
           echo "OPENAI_INTERNAL_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> ../backend/.env
@@ -136,125 +172,77 @@ jobs:
           # Used by E2E test data script to generate embeddings for approved store agents
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
 
-      - name: Set up Platform - Set up Docker Buildx
+      - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
-        with:
-          driver: docker-container
-          driver-opts: network=host
 
-      - name: Set up Platform - Expose GHA cache to docker buildx CLI
-        uses: crazy-max/ghaction-github-runtime@v3
-
-      - name: Set up Platform - Build Docker images (with cache)
-        working-directory: autogpt_platform
-        run: |
-          pip install pyyaml
-
-          # Resolve extends and generate a flat compose file that bake can understand
-          docker compose -f docker-compose.yml config > docker-compose.resolved.yml
-
-          # Add cache configuration to the resolved compose file
-          python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
-            --source docker-compose.resolved.yml \
-            --cache-from "type=gha" \
-            --cache-to "type=gha,mode=max" \
-            --backend-hash "${{ hashFiles('autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/poetry.lock', 'autogpt_platform/backend/backend') }}" \
-            --frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src') }}" \
-            --git-ref "${{ github.ref }}"
-
-          # Build with bake using the resolved compose file (now includes cache config)
-          docker buildx bake --allow=fs.read=.. -f docker-compose.resolved.yml --load
-        env:
-          NEXT_PUBLIC_PW_TEST: true
-
-      - name: Set up tests - Cache E2E test data
-        id: e2e-data-cache
+      - name: Cache Docker layers
         uses: actions/cache@v5
         with:
-          path: /tmp/e2e_test_data.sql
-          key: e2e-test-data-${{ hashFiles('autogpt_platform/backend/test/e2e_test_data.py', 'autogpt_platform/backend/migrations/**', '.github/workflows/platform-frontend-ci.yml') }}
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-frontend-test-
 
-      - name: Set up Platform - Start Supabase DB + Auth
+      - name: Run docker compose
         run: |
-          docker compose -f ../docker-compose.resolved.yml up -d db auth --no-build
-          echo "Waiting for database to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done'
-          echo "Waiting for auth service to be ready..."
-          timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -c "SELECT 1 FROM auth.users LIMIT 1" 2>/dev/null; do sleep 2; done' || echo "Auth schema check timeout, continuing..."
-
-      - name: Set up Platform - Run migrations
-        run: |
-          echo "Running migrations..."
-          docker compose -f ../docker-compose.resolved.yml run --rm migrate
-          echo "✅ Migrations completed"
+          NEXT_PUBLIC_PW_TEST=true docker compose -f ../docker-compose.yml up -d
         env:
-          NEXT_PUBLIC_PW_TEST: true
+          DOCKER_BUILDKIT: 1
+          BUILDX_CACHE_FROM: type=local,src=/tmp/.buildx-cache
+          BUILDX_CACHE_TO: type=local,dest=/tmp/.buildx-cache-new,mode=max
 
-      - name: Set up tests - Load cached E2E test data
-        if: steps.e2e-data-cache.outputs.cache-hit == 'true'
+      - name: Move cache
         run: |
-          echo "✅ Found cached E2E test data, restoring..."
-          {
-            echo "SET session_replication_role = 'replica';"
-            cat /tmp/e2e_test_data.sql
-            echo "SET session_replication_role = 'origin';"
-          } | docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -b
-          # Refresh materialized views after restore
-          docker compose -f ../docker-compose.resolved.yml exec -T db \
-            psql -U postgres -d postgres -b -c "SET search_path TO platform; SELECT refresh_store_materialized_views();" || true
+          rm -rf /tmp/.buildx-cache
+          if [ -d "/tmp/.buildx-cache-new" ]; then
+            mv /tmp/.buildx-cache-new /tmp/.buildx-cache
+          fi
 
-          echo "✅ E2E test data restored from cache"
-
-      - name: Set up Platform - Start (all other services)
+      - name: Wait for services to be ready
         run: |
-          docker compose -f ../docker-compose.resolved.yml up -d --no-build
           echo "Waiting for rest_server to be ready..."
           timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
-        env:
-          NEXT_PUBLIC_PW_TEST: true
+          echo "Waiting for database to be ready..."
+          timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
 
-      - name: Set up tests - Create E2E test data
-        if: steps.e2e-data-cache.outputs.cache-hit != 'true'
+      - name: Create E2E test data
         run: |
           echo "Creating E2E test data..."
-          docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.resolved.yml ps -q rest_server):/tmp/e2e_test_data.py
-          docker compose -f ../docker-compose.resolved.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
-            echo "❌ E2E test data creation failed!"
-            docker compose -f ../docker-compose.resolved.yml logs --tail=50 rest_server
-            exit 1
-          }
+          # First try to run the script from inside the container
+          if docker compose -f ../docker-compose.yml exec -T rest_server test -f /app/autogpt_platform/backend/test/e2e_test_data.py; then
+            echo "✅ Found e2e_test_data.py in container, running it..."
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python backend/test/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          else
+            echo "⚠️ e2e_test_data.py not found in container, copying and running..."
+            # Copy the script into the container and run it
+            docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.yml ps -q rest_server):/tmp/e2e_test_data.py || {
+              echo "❌ Failed to copy script to container"
+              exit 1
+            }
+            docker compose -f ../docker-compose.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
+              echo "❌ E2E test data creation failed!"
+              docker compose -f ../docker-compose.yml logs --tail=50 rest_server
+              exit 1
+            }
+          fi
 
-          # Dump auth.users + platform schema for cache (two separate dumps)
-          echo "Dumping database for cache..."
-          {
-            docker compose -f ../docker-compose.resolved.yml exec -T db \
-              pg_dump -U postgres --data-only --column-inserts \
-              --table='auth.users' postgres
-            docker compose -f ../docker-compose.resolved.yml exec -T db \
-              pg_dump -U postgres --data-only --column-inserts \
-              --schema=platform \
-              --exclude-table='platform._prisma_migrations' \
-              --exclude-table='platform.apscheduler_jobs' \
-              --exclude-table='platform.apscheduler_jobs_batched_notifications' \
-              postgres
-          } > /tmp/e2e_test_data.sql
-
-          echo "✅ Database dump created for caching ($(wc -l < /tmp/e2e_test_data.sql) lines)"
-
-      - name: Set up tests - Enable corepack
-        run: corepack enable
-
-      - name: Set up tests - Set up Node
-        uses: actions/setup-node@v6
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
         with:
-          node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
-      - name: Set up tests - Install dependencies
+      - name: Install dependencies
         run: pnpm install --frozen-lockfile
 
-      - name: Set up tests - Install browser 'chromium'
+      - name: Install Browser 'chromium'
         run: pnpm playwright install --with-deps chromium
 
       - name: Run Playwright tests
@@ -281,7 +269,7 @@ jobs:
 
       - name: Print Final Docker Compose logs
         if: always()
-        run: docker compose -f ../docker-compose.resolved.yml logs
+        run: docker compose -f ../docker-compose.yml logs
 
   integration_test:
     runs-on: ubuntu-latest
@@ -293,15 +281,22 @@ jobs:
         with:
           submodules: recursive
 
-      - name: Enable corepack
-        run: corepack enable
-
-      - name: Set up Node
+      - name: Set up Node.js
         uses: actions/setup-node@v6
         with:
           node-version: "22.18.0"
-          cache: "pnpm"
-          cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
+
+      - name: Enable corepack
+        run: corepack enable
+
+      - name: Restore dependencies cache
+        uses: actions/cache@v5
+        with:
+          path: ~/.pnpm-store
+          key: ${{ needs.setup.outputs.cache-key }}
+          restore-keys: |
+            ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
+            ${{ runner.os }}-pnpm-
 
       - name: Install dependencies
         run: pnpm install --frozen-lockfile

.github/workflows/scripts/docker-ci-fix-compose-build-cache.py

@@ -1,195 +0,0 @@
-#!/usr/bin/env python3
-"""
-Add cache configuration to a resolved docker-compose file for all services
-that have a build key, and ensure image names match what docker compose expects.
-"""
-
-import argparse
-
-import yaml
-
-
-DEFAULT_BRANCH = "dev"
-CACHE_BUILDS_FOR_COMPONENTS = ["backend", "frontend"]
-
-
-def main():
-    parser = argparse.ArgumentParser(
-        description="Add cache config to a resolved compose file"
-    )
-    parser.add_argument(
-        "--source",
-        required=True,
-        help="Source compose file to read (should be output of `docker compose config`)",
-    )
-    parser.add_argument(
-        "--cache-from",
-        default="type=gha",
-        help="Cache source configuration",
-    )
-    parser.add_argument(
-        "--cache-to",
-        default="type=gha,mode=max",
-        help="Cache destination configuration",
-    )
-    for component in CACHE_BUILDS_FOR_COMPONENTS:
-        parser.add_argument(
-            f"--{component}-hash",
-            default="",
-            help=f"Hash for {component} cache scope (e.g., from hashFiles())",
-        )
-    parser.add_argument(
-        "--git-ref",
-        default="",
-        help="Git ref for branch-based cache scope (e.g., refs/heads/master)",
-    )
-    args = parser.parse_args()
-
-    # Normalize git ref to a safe scope name (e.g., refs/heads/master -> master)
-    git_ref_scope = ""
-    if args.git_ref:
-        git_ref_scope = args.git_ref.replace("refs/heads/", "").replace("/", "-")
-
-    with open(args.source, "r") as f:
-        compose = yaml.safe_load(f)
-
-    # Get project name from compose file or default
-    project_name = compose.get("name", "autogpt_platform")
-
-    def get_image_name(dockerfile: str, target: str) -> str:
-        """Generate image name based on Dockerfile folder and build target."""
-        dockerfile_parts = dockerfile.replace("\\", "/").split("/")
-        if len(dockerfile_parts) >= 2:
-            folder_name = dockerfile_parts[-2]  # e.g., "backend" or "frontend"
-        else:
-            folder_name = "app"
-        return f"{project_name}-{folder_name}:{target}"
-
-    def get_build_key(dockerfile: str, target: str) -> str:
-        """Generate a unique key for a Dockerfile+target combination."""
-        return f"{dockerfile}:{target}"
-
-    def get_component(dockerfile: str) -> str | None:
-        """Get component name (frontend/backend) from dockerfile path."""
-        for component in CACHE_BUILDS_FOR_COMPONENTS:
-            if component in dockerfile:
-                return component
-        return None
-
-    # First pass: collect all services with build configs and identify duplicates
-    # Track which (dockerfile, target) combinations we've seen
-    build_key_to_first_service: dict[str, str] = {}
-    services_to_build: list[str] = []
-    services_to_dedupe: list[str] = []
-
-    for service_name, service_config in compose.get("services", {}).items():
-        if "build" not in service_config:
-            continue
-
-        build_config = service_config["build"]
-        dockerfile = build_config.get("dockerfile", "Dockerfile")
-        target = build_config.get("target", "default")
-        build_key = get_build_key(dockerfile, target)
-
-        if build_key not in build_key_to_first_service:
-            # First service with this build config - it will do the actual build
-            build_key_to_first_service[build_key] = service_name
-            services_to_build.append(service_name)
-        else:
-            # Duplicate - will just use the image from the first service
-            services_to_dedupe.append(service_name)
-
-    # Second pass: configure builds and deduplicate
-    modified_services = []
-    for service_name, service_config in compose.get("services", {}).items():
-        if "build" not in service_config:
-            continue
-
-        build_config = service_config["build"]
-        dockerfile = build_config.get("dockerfile", "Dockerfile")
-        target = build_config.get("target", "latest")
-        image_name = get_image_name(dockerfile, target)
-
-        # Set image name for all services (needed for both builders and deduped)
-        service_config["image"] = image_name
-
-        if service_name in services_to_dedupe:
-            # Remove build config - this service will use the pre-built image
-            del service_config["build"]
-            continue
-
-        # This service will do the actual build - add cache config
-        cache_from_list = []
-        cache_to_list = []
-
-        component = get_component(dockerfile)
-        if not component:
-            # Skip services that don't clearly match frontend/backend
-            continue
-
-        # Get the hash for this component
-        component_hash = getattr(args, f"{component}_hash")
-
-        # Scope format: platform-{component}-{target}-{hash|ref}
-        # Example: platform-backend-server-abc123
-
-        if "type=gha" in args.cache_from:
-            # 1. Primary: exact hash match (most specific)
-            if component_hash:
-                hash_scope = f"platform-{component}-{target}-{component_hash}"
-                cache_from_list.append(f"{args.cache_from},scope={hash_scope}")
-
-            # 2. Fallback: branch-based cache
-            if git_ref_scope:
-                ref_scope = f"platform-{component}-{target}-{git_ref_scope}"
-                cache_from_list.append(f"{args.cache_from},scope={ref_scope}")
-
-            # 3. Fallback: dev branch cache (for PRs/feature branches)
-            if git_ref_scope and git_ref_scope != DEFAULT_BRANCH:
-                master_scope = f"platform-{component}-{target}-{DEFAULT_BRANCH}"
-                cache_from_list.append(f"{args.cache_from},scope={master_scope}")
-
-        if "type=gha" in args.cache_to:
-            # Write to both hash-based and branch-based scopes
-            if component_hash:
-                hash_scope = f"platform-{component}-{target}-{component_hash}"
-                cache_to_list.append(f"{args.cache_to},scope={hash_scope}")
-
-            if git_ref_scope:
-                ref_scope = f"platform-{component}-{target}-{git_ref_scope}"
-                cache_to_list.append(f"{args.cache_to},scope={ref_scope}")
-
-        # Ensure we have at least one cache source/target
-        if not cache_from_list:
-            cache_from_list.append(args.cache_from)
-        if not cache_to_list:
-            cache_to_list.append(args.cache_to)
-
-        build_config["cache_from"] = cache_from_list
-        build_config["cache_to"] = cache_to_list
-        modified_services.append(service_name)
-
-    # Write back to the same file
-    with open(args.source, "w") as f:
-        yaml.dump(compose, f, default_flow_style=False, sort_keys=False)
-
-    print(f"Added cache config to {len(modified_services)} services in {args.source}:")
-    for svc in modified_services:
-        svc_config = compose["services"][svc]
-        build_cfg = svc_config.get("build", {})
-        cache_from_list = build_cfg.get("cache_from", ["none"])
-        cache_to_list = build_cfg.get("cache_to", ["none"])
-        print(f"  - {svc}")
-        print(f"      image: {svc_config.get('image', 'N/A')}")
-        print(f"      cache_from: {cache_from_list}")
-        print(f"      cache_to: {cache_to_list}")
-    if services_to_dedupe:
-        print(
-            f"Deduplicated {len(services_to_dedupe)} services (will use pre-built images):"
-        )
-        for svc in services_to_dedupe:
-            print(f"  - {svc} -> {compose['services'][svc].get('image', 'N/A')}")
-
-
-if __name__ == "__main__":
-    main()

autogpt_platform/CLAUDE.md

@@ -45,11 +45,6 @@ AutoGPT Platform is a monorepo containing:
 - Backend/Frontend services use YAML anchors for consistent configuration
 - Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
 
-### Branching Strategy
-
-- **`dev`** is the main development branch. All PRs should target `dev`.
-- **`master`** is the production branch. Only used for production releases.
-
 ### Creating Pull Requests
 
 - Create the PR against the `dev` branch of the repository.

autogpt_platform/autogpt_libs/poetry.lock

@@ -448,61 +448,61 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cryptography"
-version = "46.0.5"
+version = "46.0.4"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.8"
 groups = ["main"]
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+    {file = "cryptography-46.0.4-cp38-abi3-win32.whl", hash = "sha256:0563655cb3c6d05fb2afe693340bc050c30f9f34e15763361cf08e94749401fc"},
+    {file = "cryptography-46.0.4-cp38-abi3-win_amd64.whl", hash = "sha256:fa0900b9ef9c49728887d1576fd8d9e7e3ea872fa9b25ef9b64888adc434e976"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:766330cce7416c92b5e90c3bb71b1b79521760cdcfc3a6a1a182d4c9fab23d2b"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c236a44acfb610e70f6b3e1c3ca20ff24459659231ef2f8c48e879e2d32b73da"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8a15fb869670efa8f83cbffbc8753c1abf236883225aed74cd179b720ac9ec80"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:fdc3daab53b212472f1524d070735b2f0c214239df131903bae1d598016fa822"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:44cc0675b27cadb71bdbb96099cca1fa051cd11d2ade09e5cd3a2edb929ed947"},
+    {file = "cryptography-46.0.4-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:be8c01a7d5a55f9a47d1888162b76c8f49d62b234d88f0ff91a9fbebe32ffbc3"},
+    {file = "cryptography-46.0.4.tar.gz", hash = "sha256:bfd019f60f8abc2ed1b9be4ddc21cfef059c841d86d710bb69909a688cbb8f59"},
 ]
 
 [package.dependencies]
@@ -516,7 +516,7 @@ nox = ["nox[uv] (>=2024.4.15)"]
 pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.14)", "ruff (>=0.11.11)"]
 sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi (>=2024)", "cryptography-vectors (==46.0.5)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
+test = ["certifi (>=2024)", "cryptography-vectors (==46.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -570,25 +570,24 @@ tests = ["coverage", "coveralls", "dill", "mock", "nose"]
 
 [[package]]
 name = "fastapi"
-version = "0.128.7"
+version = "0.128.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "fastapi-0.128.7-py3-none-any.whl", hash = "sha256:6bd9bd31cb7047465f2d3fa3ba3f33b0870b17d4eaf7cdb36d1576ab060ad662"},
-    {file = "fastapi-0.128.7.tar.gz", hash = "sha256:783c273416995486c155ad2c0e2b45905dedfaf20b9ef8d9f6a9124670639a24"},
+    {file = "fastapi-0.128.0-py3-none-any.whl", hash = "sha256:aebd93f9716ee3b4f4fcfe13ffb7cf308d99c9f3ab5622d8877441072561582d"},
+    {file = "fastapi-0.128.0.tar.gz", hash = "sha256:1cc179e1cef10a6be60ffe429f79b829dce99d8de32d7acb7e6c8dfdf7f2645a"},
 ]
 
 [package.dependencies]
 annotated-doc = ">=0.0.2"
 pydantic = ">=2.7.0"
-starlette = ">=0.40.0,<1.0.0"
+starlette = ">=0.40.0,<0.51.0"
 typing-extensions = ">=4.8.0"
-typing-inspection = ">=0.4.2"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.9.3)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=5.8.0)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
 standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 standard-no-fastapi-cloud-cli = ["email-validator (>=2.0.0)", "fastapi-cli[standard-no-fastapi-cloud-cli] (>=0.0.8)", "httpx (>=0.23.0,<1.0.0)", "jinja2 (>=3.1.5)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"]
 
@@ -1063,14 +1062,14 @@ urllib3 = ">=1.26.0,<3"
 
 [[package]]
 name = "launchdarkly-server-sdk"
-version = "9.15.0"
+version = "9.14.1"
 description = "LaunchDarkly SDK for Python"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "launchdarkly_server_sdk-9.15.0-py3-none-any.whl", hash = "sha256:c267e29bfa3fb5e2a06a208448ada6ed5557a2924979b8d79c970b45d227c668"},
-    {file = "launchdarkly_server_sdk-9.15.0.tar.gz", hash = "sha256:f31441b74bc1a69c381db57c33116509e407a2612628ad6dff0a7dbb39d5020b"},
+    {file = "launchdarkly_server_sdk-9.14.1-py3-none-any.whl", hash = "sha256:a9e2bd9ecdef845cd631ae0d4334a1115e5b44257c42eb2349492be4bac7815c"},
+    {file = "launchdarkly_server_sdk-9.14.1.tar.gz", hash = "sha256:1df44baf0a0efa74d8c1dad7a00592b98bce7d19edded7f770da8dbc49922213"},
 ]
 
 [package.dependencies]
@@ -1479,14 +1478,14 @@ testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "postgrest"
-version = "2.28.0"
+version = "2.27.2"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "postgrest-2.28.0-py3-none-any.whl", hash = "sha256:7bca2f24dd1a1bf8a3d586c7482aba6cd41662da6733045fad585b63b7f7df75"},
-    {file = "postgrest-2.28.0.tar.gz", hash = "sha256:c36b38646d25ea4255321d3d924ce70f8d20ec7799cb42c1221d6a818d4f6515"},
+    {file = "postgrest-2.27.2-py3-none-any.whl", hash = "sha256:1666fef3de05ca097a314433dd5ae2f2d71c613cb7b233d0f468c4ffe37277da"},
+    {file = "postgrest-2.27.2.tar.gz", hash = "sha256:55407d530b5af3d64e883a71fec1f345d369958f723ce4a8ab0b7d169e313242"},
 ]
 
 [package.dependencies]
@@ -2249,14 +2248,14 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "realtime"
-version = "2.28.0"
+version = "2.27.2"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "realtime-2.28.0-py3-none-any.whl", hash = "sha256:db1bd59bab9b1fcc9f9d3b1a073bed35bf4994d720e6751f10031a58d57a3836"},
-    {file = "realtime-2.28.0.tar.gz", hash = "sha256:d18cedcebd6a8f22fcd509bc767f639761eb218b7b2b6f14fc4205b6259b50fc"},
+    {file = "realtime-2.27.2-py3-none-any.whl", hash = "sha256:34a9cbb26a274e707e8fc9e3ee0a66de944beac0fe604dc336d1e985db2c830f"},
+    {file = "realtime-2.27.2.tar.gz", hash = "sha256:b960a90294d2cea1b3f1275ecb89204304728e08fff1c393cc1b3150739556b3"},
 ]
 
 [package.dependencies]
@@ -2437,14 +2436,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 
 [[package]]
 name = "storage3"
-version = "2.28.0"
+version = "2.27.2"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "storage3-2.28.0-py3-none-any.whl", hash = "sha256:ecb50efd2ac71dabbdf97e99ad346eafa630c4c627a8e5a138ceb5fbbadae716"},
-    {file = "storage3-2.28.0.tar.gz", hash = "sha256:bc1d008aff67de7a0f2bd867baee7aadbcdb6f78f5a310b4f7a38e8c13c19865"},
+    {file = "storage3-2.27.2-py3-none-any.whl", hash = "sha256:e6f16e7a260729e7b1f46e9bf61746805a02e30f5e419ee1291007c432e3ec63"},
+    {file = "storage3-2.27.2.tar.gz", hash = "sha256:cb4807b7f86b4bb1272ac6fdd2f3cfd8ba577297046fa5f88557425200275af5"},
 ]
 
 [package.dependencies]
@@ -2488,35 +2487,35 @@ python-dateutil = ">=2.6.0"
 
 [[package]]
 name = "supabase"
-version = "2.28.0"
+version = "2.27.2"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase-2.28.0-py3-none-any.whl", hash = "sha256:42776971c7d0ccca16034df1ab96a31c50228eb1eb19da4249ad2f756fc20272"},
-    {file = "supabase-2.28.0.tar.gz", hash = "sha256:aea299aaab2a2eed3c57e0be7fc035c6807214194cce795a3575add20268ece1"},
+    {file = "supabase-2.27.2-py3-none-any.whl", hash = "sha256:d4dce00b3a418ee578017ec577c0e5be47a9a636355009c76f20ed2faa15bc54"},
+    {file = "supabase-2.27.2.tar.gz", hash = "sha256:2aed40e4f3454438822442a1e94a47be6694c2c70392e7ae99b51a226d4293f7"},
 ]
 
 [package.dependencies]
 httpx = ">=0.26,<0.29"
-postgrest = "2.28.0"
-realtime = "2.28.0"
-storage3 = "2.28.0"
-supabase-auth = "2.28.0"
-supabase-functions = "2.28.0"
+postgrest = "2.27.2"
+realtime = "2.27.2"
+storage3 = "2.27.2"
+supabase-auth = "2.27.2"
+supabase-functions = "2.27.2"
 yarl = ">=1.22.0"
 
 [[package]]
 name = "supabase-auth"
-version = "2.28.0"
+version = "2.27.2"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_auth-2.28.0-py3-none-any.whl", hash = "sha256:2ac85026cc285054c7fa6d41924f3a333e9ec298c013e5b5e1754039ba7caec9"},
-    {file = "supabase_auth-2.28.0.tar.gz", hash = "sha256:2bb8f18ff39934e44b28f10918db965659f3735cd6fbfcc022fe0b82dbf8233e"},
+    {file = "supabase_auth-2.27.2-py3-none-any.whl", hash = "sha256:78ec25b11314d0a9527a7205f3b1c72560dccdc11b38392f80297ef98664ee91"},
+    {file = "supabase_auth-2.27.2.tar.gz", hash = "sha256:0f5bcc79b3677cb42e9d321f3c559070cfa40d6a29a67672cc8382fb7dc2fe97"},
 ]
 
 [package.dependencies]
@@ -2526,14 +2525,14 @@ pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
 
 [[package]]
 name = "supabase-functions"
-version = "2.28.0"
+version = "2.27.2"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_functions-2.28.0-py3-none-any.whl", hash = "sha256:30bf2d586f8df285faf0621bb5d5bb3ec3157234fc820553ca156f009475e4ae"},
-    {file = "supabase_functions-2.28.0.tar.gz", hash = "sha256:db3dddfc37aca5858819eb461130968473bd8c75bd284581013958526dac718b"},
+    {file = "supabase_functions-2.27.2-py3-none-any.whl", hash = "sha256:db480efc669d0bca07605b9b6f167312af43121adcc842a111f79bea416ef754"},
+    {file = "supabase_functions-2.27.2.tar.gz", hash = "sha256:d0c8266207a94371cb3fd35ad3c7f025b78a97cf026861e04ccd35ac1775f80b"},
 ]
 
 [package.dependencies]
@@ -2912,4 +2911,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<4.0"
-content-hash = "9619cae908ad38fa2c48016a58bcf4241f6f5793aa0e6cc140276e91c433cbbb"
+content-hash = "40eae94995dc0a388fa832ed4af9b6137f28d5b5ced3aaea70d5f91d4d9a179d"

autogpt_platform/autogpt_libs/pyproject.toml

@@ -11,14 +11,14 @@ python = ">=3.10,<4.0"
 colorama = "^0.4.6"
 cryptography = "^46.0"
 expiringdict = "^1.2.2"
-fastapi = "^0.128.7"
+fastapi = "^0.128.0"
 google-cloud-logging = "^3.13.0"
-launchdarkly-server-sdk = "^9.15.0"
+launchdarkly-server-sdk = "^9.14.1"
 pydantic = "^2.12.5"
 pydantic-settings = "^2.12.0"
 pyjwt = { version = "^2.11.0", extras = ["crypto"] }
 redis = "^6.2.0"
-supabase = "^2.28.0"
+supabase = "^2.27.2"
 uvicorn = "^0.40.0"
 
 [tool.poetry.group.dev.dependencies]

autogpt_platform/backend/Dockerfile

@@ -1,5 +1,3 @@
-# ============================ DEPENDENCY BUILDER ============================ #
-
 FROM debian:13-slim AS builder
 
 # Set environment variables
@@ -53,9 +51,7 @@ COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/parti
 COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
 RUN poetry run prisma generate && poetry run gen-prisma-stub
 
-# ============================== BACKEND SERVER ============================== #
-
-FROM debian:13-slim AS server
+FROM debian:13-slim AS server_dependencies
 
 WORKDIR /app
 
@@ -67,14 +63,15 @@ ENV POETRY_HOME=/opt/poetry \
 ENV PATH=/opt/poetry/bin:$PATH
 
 # Install Python, FFmpeg, and ImageMagick (required for video processing blocks)
-# Using --no-install-recommends saves ~650MB by skipping unnecessary deps like llvm, mesa, etc.
-RUN apt-get update && apt-get install -y --no-install-recommends \
+RUN apt-get update && apt-get install -y \
     python3.13 \
     python3-pip \
     ffmpeg \
     imagemagick \
     && rm -rf /var/lib/apt/lists/*
 
+# Copy only necessary files from builder
+COPY --from=builder /app /app
 COPY --from=builder /usr/local/lib/python3* /usr/local/lib/python3*
 COPY --from=builder /usr/local/bin/poetry /usr/local/bin/poetry
 # Copy Node.js installation for Prisma
@@ -84,54 +81,30 @@ COPY --from=builder /usr/bin/npm /usr/bin/npm
 COPY --from=builder /usr/bin/npx /usr/bin/npx
 COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
 
-WORKDIR /app/autogpt_platform/backend
-
-# Copy only the .venv from builder (not the entire /app directory)
-# The .venv includes the generated Prisma client
-COPY --from=builder /app/autogpt_platform/backend/.venv ./.venv
 ENV PATH="/app/autogpt_platform/backend/.venv/bin:$PATH"
 
-# Copy dependency files + autogpt_libs (path dependency)
-COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
-COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml ./
+RUN mkdir -p /app/autogpt_platform/autogpt_libs
+RUN mkdir -p /app/autogpt_platform/backend
 
-# Copy backend code + docs (for Copilot docs search)
-COPY autogpt_platform/backend ./
+COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
+
+COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
+
+WORKDIR /app/autogpt_platform/backend
+
+FROM server_dependencies AS migrate
+
+# Migration stage only needs schema and migrations - much lighter than full backend
+COPY autogpt_platform/backend/schema.prisma /app/autogpt_platform/backend/
+COPY autogpt_platform/backend/backend/data/partial_types.py /app/autogpt_platform/backend/backend/data/partial_types.py
+COPY autogpt_platform/backend/migrations /app/autogpt_platform/backend/migrations
+
+FROM server_dependencies AS server
+
+COPY autogpt_platform/backend /app/autogpt_platform/backend
 COPY docs /app/docs
 RUN poetry install --no-ansi --only-root
 
 ENV PORT=8000
 
 CMD ["poetry", "run", "rest"]
-
-# =============================== DB MIGRATOR =============================== #
-
-# Lightweight migrate stage - only needs Prisma CLI, not full Python environment
-FROM debian:13-slim AS migrate
-
-WORKDIR /app/autogpt_platform/backend
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-# Install only what's needed for prisma migrate: Node.js and minimal Python for prisma-python
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    python3.13 \
-    python3-pip \
-    ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy Node.js from builder (needed for Prisma CLI)
-COPY --from=builder /usr/bin/node /usr/bin/node
-COPY --from=builder /usr/lib/node_modules /usr/lib/node_modules
-COPY --from=builder /usr/bin/npm /usr/bin/npm
-
-# Copy Prisma binaries
-COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
-
-# Install prisma-client-py directly (much smaller than copying full venv)
-RUN pip3 install prisma>=0.15.0 --break-system-packages
-
-COPY autogpt_platform/backend/schema.prisma ./
-COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
-COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
-COPY autogpt_platform/backend/migrations ./migrations

autogpt_platform/backend/backend/api/features/chat/routes.py

@@ -24,7 +24,6 @@ from .tools.models import (
     AgentPreviewResponse,
     AgentSavedResponse,
     AgentsFoundResponse,
-    BlockDetailsResponse,
     BlockListResponse,
     BlockOutputResponse,
     ClarificationNeededResponse,
@@ -972,7 +971,6 @@ ToolResponseUnion = (
     | AgentSavedResponse
     | ClarificationNeededResponse
     | BlockListResponse
-    | BlockDetailsResponse
     | BlockOutputResponse
     | DocSearchResultsResponse
     | DocPageResponse

autogpt_platform/backend/backend/api/features/chat/tools/find_block.py

@@ -7,6 +7,7 @@ from backend.api.features.chat.model import ChatSession
 from backend.api.features.chat.tools.base import BaseTool, ToolResponseBase
 from backend.api.features.chat.tools.models import (
     BlockInfoSummary,
+    BlockInputFieldInfo,
     BlockListResponse,
     ErrorResponse,
     NoResultsResponse,
@@ -54,8 +55,7 @@ class FindBlockTool(BaseTool):
             "Blocks are reusable components that perform specific tasks like "
             "sending emails, making API calls, processing text, etc. "
             "IMPORTANT: Use this tool FIRST to get the block's 'id' before calling run_block. "
-            "The response includes each block's id, name, and description. "
-            "Call run_block with the block's id **with no inputs** to see detailed inputs/outputs and execute it."
+            "The response includes each block's id, required_inputs, and input_schema."
         )
 
     @property
@@ -124,7 +124,7 @@ class FindBlockTool(BaseTool):
                     session_id=session_id,
                 )
 
-            # Enrich results with block information
+            # Enrich results with full block information
             blocks: list[BlockInfoSummary] = []
             for result in results:
                 block_id = result["content_id"]
@@ -141,11 +141,65 @@ class FindBlockTool(BaseTool):
                 ):
                     continue
 
+                # Get input/output schemas
+                input_schema = {}
+                output_schema = {}
+                try:
+                    input_schema = block.input_schema.jsonschema()
+                except Exception as e:
+                    logger.debug(
+                        "Failed to generate input schema for block %s: %s",
+                        block_id,
+                        e,
+                    )
+                try:
+                    output_schema = block.output_schema.jsonschema()
+                except Exception as e:
+                    logger.debug(
+                        "Failed to generate output schema for block %s: %s",
+                        block_id,
+                        e,
+                    )
+
+                # Get categories from block instance
+                categories = []
+                if hasattr(block, "categories") and block.categories:
+                    categories = [cat.value for cat in block.categories]
+
+                # Extract required inputs for easier use
+                required_inputs: list[BlockInputFieldInfo] = []
+                if input_schema:
+                    properties = input_schema.get("properties", {})
+                    required_fields = set(input_schema.get("required", []))
+                    # Get credential field names to exclude from required inputs
+                    credentials_fields = set(
+                        block.input_schema.get_credentials_fields().keys()
+                    )
+
+                    for field_name, field_schema in properties.items():
+                        # Skip credential fields - they're handled separately
+                        if field_name in credentials_fields:
+                            continue
+
+                        required_inputs.append(
+                            BlockInputFieldInfo(
+                                name=field_name,
+                                type=field_schema.get("type", "string"),
+                                description=field_schema.get("description", ""),
+                                required=field_name in required_fields,
+                                default=field_schema.get("default"),
+                            )
+                        )
+
                 blocks.append(
                     BlockInfoSummary(
                         id=block_id,
                         name=block.name,
                         description=block.description or "",
+                        categories=categories,
+                        input_schema=input_schema,
+                        output_schema=output_schema,
+                        required_inputs=required_inputs,
                     )
                 )
 
@@ -174,7 +228,8 @@ class FindBlockTool(BaseTool):
             return BlockListResponse(
                 message=(
                     f"Found {len(blocks)} block(s) matching '{query}'. "
-                    "To see a block's inputs/outputs and execute it, use run_block with the block's 'id' - providing no inputs."
+                    "To execute a block, use run_block with the block's 'id' field "
+                    "and provide 'input_data' matching the block's input_schema."
                 ),
                 blocks=blocks,
                 count=len(blocks),

autogpt_platform/backend/backend/api/features/chat/tools/find_block_test.py

@@ -18,13 +18,7 @@ _TEST_USER_ID = "test-user-find-block"
 
 
 def make_mock_block(
-    block_id: str,
-    name: str,
-    block_type: BlockType,
-    disabled: bool = False,
-    input_schema: dict | None = None,
-    output_schema: dict | None = None,
-    credentials_fields: dict | None = None,
+    block_id: str, name: str, block_type: BlockType, disabled: bool = False
 ):
     """Create a mock block for testing."""
     mock = MagicMock()
@@ -34,13 +28,10 @@ def make_mock_block(
     mock.block_type = block_type
     mock.disabled = disabled
     mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = input_schema or {
-        "properties": {},
-        "required": [],
-    }
-    mock.input_schema.get_credentials_fields.return_value = credentials_fields or {}
+    mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
+    mock.input_schema.get_credentials_fields.return_value = {}
     mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = output_schema or {}
+    mock.output_schema.jsonschema.return_value = {}
     mock.categories = []
     return mock
 
@@ -146,241 +137,3 @@ class TestFindBlockFiltering:
         assert isinstance(response, BlockListResponse)
         assert len(response.blocks) == 1
         assert response.blocks[0].id == "normal-block-id"
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_response_size_average_chars_per_block(self):
-        """Measure average chars per block in the serialized response."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        # Realistic block definitions modeled after real blocks
-        block_defs = [
-            {
-                "id": "http-block-id",
-                "name": "Send Web Request",
-                "input_schema": {
-                    "properties": {
-                        "url": {
-                            "type": "string",
-                            "description": "The URL to send the request to",
-                        },
-                        "method": {
-                            "type": "string",
-                            "description": "The HTTP method to use",
-                        },
-                        "headers": {
-                            "type": "object",
-                            "description": "Headers to include in the request",
-                        },
-                        "json_format": {
-                            "type": "boolean",
-                            "description": "If true, send the body as JSON",
-                        },
-                        "body": {
-                            "type": "object",
-                            "description": "Form/JSON body payload",
-                        },
-                        "credentials": {
-                            "type": "object",
-                            "description": "HTTP credentials",
-                        },
-                    },
-                    "required": ["url", "method"],
-                },
-                "output_schema": {
-                    "properties": {
-                        "response": {
-                            "type": "object",
-                            "description": "The response from the server",
-                        },
-                        "client_error": {
-                            "type": "object",
-                            "description": "Errors on 4xx status codes",
-                        },
-                        "server_error": {
-                            "type": "object",
-                            "description": "Errors on 5xx status codes",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Errors for all other exceptions",
-                        },
-                    },
-                },
-                "credentials_fields": {"credentials": True},
-            },
-            {
-                "id": "email-block-id",
-                "name": "Send Email",
-                "input_schema": {
-                    "properties": {
-                        "to_email": {
-                            "type": "string",
-                            "description": "Recipient email address",
-                        },
-                        "subject": {
-                            "type": "string",
-                            "description": "Subject of the email",
-                        },
-                        "body": {
-                            "type": "string",
-                            "description": "Body of the email",
-                        },
-                        "config": {
-                            "type": "object",
-                            "description": "SMTP Config",
-                        },
-                        "credentials": {
-                            "type": "object",
-                            "description": "SMTP credentials",
-                        },
-                    },
-                    "required": ["to_email", "subject", "body", "credentials"],
-                },
-                "output_schema": {
-                    "properties": {
-                        "status": {
-                            "type": "string",
-                            "description": "Status of the email sending operation",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Error message if sending failed",
-                        },
-                    },
-                },
-                "credentials_fields": {"credentials": True},
-            },
-            {
-                "id": "claude-code-block-id",
-                "name": "Claude Code",
-                "input_schema": {
-                    "properties": {
-                        "e2b_credentials": {
-                            "type": "object",
-                            "description": "API key for E2B platform",
-                        },
-                        "anthropic_credentials": {
-                            "type": "object",
-                            "description": "API key for Anthropic",
-                        },
-                        "prompt": {
-                            "type": "string",
-                            "description": "Task or instruction for Claude Code",
-                        },
-                        "timeout": {
-                            "type": "integer",
-                            "description": "Sandbox timeout in seconds",
-                        },
-                        "setup_commands": {
-                            "type": "array",
-                            "description": "Shell commands to run before execution",
-                        },
-                        "working_directory": {
-                            "type": "string",
-                            "description": "Working directory for Claude Code",
-                        },
-                        "session_id": {
-                            "type": "string",
-                            "description": "Session ID to resume a conversation",
-                        },
-                        "sandbox_id": {
-                            "type": "string",
-                            "description": "Sandbox ID to reconnect to",
-                        },
-                        "conversation_history": {
-                            "type": "string",
-                            "description": "Previous conversation history",
-                        },
-                        "dispose_sandbox": {
-                            "type": "boolean",
-                            "description": "Whether to dispose sandbox after execution",
-                        },
-                    },
-                    "required": [
-                        "e2b_credentials",
-                        "anthropic_credentials",
-                        "prompt",
-                    ],
-                },
-                "output_schema": {
-                    "properties": {
-                        "response": {
-                            "type": "string",
-                            "description": "Output from Claude Code execution",
-                        },
-                        "files": {
-                            "type": "array",
-                            "description": "Files created/modified by Claude Code",
-                        },
-                        "conversation_history": {
-                            "type": "string",
-                            "description": "Full conversation history",
-                        },
-                        "session_id": {
-                            "type": "string",
-                            "description": "Session ID for this conversation",
-                        },
-                        "sandbox_id": {
-                            "type": "string",
-                            "description": "ID of the sandbox instance",
-                        },
-                        "error": {
-                            "type": "string",
-                            "description": "Error message if execution failed",
-                        },
-                    },
-                },
-                "credentials_fields": {
-                    "e2b_credentials": True,
-                    "anthropic_credentials": True,
-                },
-            },
-        ]
-
-        search_results = [
-            {"content_id": d["id"], "score": 0.9 - i * 0.1}
-            for i, d in enumerate(block_defs)
-        ]
-        mock_blocks = {
-            d["id"]: make_mock_block(
-                block_id=d["id"],
-                name=d["name"],
-                block_type=BlockType.STANDARD,
-                input_schema=d["input_schema"],
-                output_schema=d["output_schema"],
-                credentials_fields=d["credentials_fields"],
-            )
-            for d in block_defs
-        }
-
-        with patch(
-            "backend.api.features.chat.tools.find_block.unified_hybrid_search",
-            new_callable=AsyncMock,
-            return_value=(search_results, len(search_results)),
-        ), patch(
-            "backend.api.features.chat.tools.find_block.get_block",
-            side_effect=lambda bid: mock_blocks.get(bid),
-        ):
-            tool = FindBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID, session=session, query="test"
-            )
-
-        assert isinstance(response, BlockListResponse)
-        assert response.count == len(block_defs)
-
-        total_chars = len(response.model_dump_json())
-        avg_chars = total_chars // response.count
-
-        # Print for visibility in test output
-        print(f"\nTotal response size: {total_chars} chars")
-        print(f"Number of blocks: {response.count}")
-        print(f"Average chars per block: {avg_chars}")
-
-        # The old response was ~90K for 10 blocks (~9K per block).
-        # Previous optimization reduced it to ~1.5K per block (no raw JSON schemas).
-        # Now with only id/name/description, we expect ~300 chars per block.
-        assert avg_chars < 500, (
-            f"Average chars per block ({avg_chars}) exceeds 500. "
-            f"Total response: {total_chars} chars for {response.count} blocks."
-        )

autogpt_platform/backend/backend/api/features/chat/tools/models.py

@@ -25,7 +25,6 @@ class ResponseType(str, Enum):
     AGENT_SAVED = "agent_saved"
     CLARIFICATION_NEEDED = "clarification_needed"
     BLOCK_LIST = "block_list"
-    BLOCK_DETAILS = "block_details"
     BLOCK_OUTPUT = "block_output"
     DOC_SEARCH_RESULTS = "doc_search_results"
     DOC_PAGE = "doc_page"
@@ -335,6 +334,13 @@ class BlockInfoSummary(BaseModel):
     id: str
     name: str
     description: str
+    categories: list[str]
+    input_schema: dict[str, Any]
+    output_schema: dict[str, Any]
+    required_inputs: list[BlockInputFieldInfo] = Field(
+        default_factory=list,
+        description="List of required input fields for this block",
+    )
 
 
 class BlockListResponse(ToolResponseBase):
@@ -344,25 +350,10 @@ class BlockListResponse(ToolResponseBase):
     blocks: list[BlockInfoSummary]
     count: int
     query: str
-
-
-class BlockDetails(BaseModel):
-    """Detailed block information."""
-
-    id: str
-    name: str
-    description: str
-    inputs: dict[str, Any] = {}
-    outputs: dict[str, Any] = {}
-    credentials: list[CredentialsMetaInput] = []
-
-
-class BlockDetailsResponse(ToolResponseBase):
-    """Response for block details (first run_block attempt)."""
-
-    type: ResponseType = ResponseType.BLOCK_DETAILS
-    block: BlockDetails
-    user_authenticated: bool = False
+    usage_hint: str = Field(
+        default="To execute a block, call run_block with block_id set to the block's "
+        "'id' field and input_data containing the required fields from input_schema."
+    )
 
 
 class BlockOutputResponse(ToolResponseBase):

autogpt_platform/backend/backend/api/features/chat/tools/run_block.py

@@ -23,11 +23,8 @@ from backend.util.exceptions import BlockError
 from .base import BaseTool
 from .helpers import get_inputs_from_schema
 from .models import (
-    BlockDetails,
-    BlockDetailsResponse,
     BlockOutputResponse,
     ErrorResponse,
-    InputValidationErrorResponse,
     SetupInfo,
     SetupRequirementsResponse,
     ToolResponseBase,
@@ -54,8 +51,8 @@ class RunBlockTool(BaseTool):
             "Execute a specific block with the provided input data. "
             "IMPORTANT: You MUST call find_block first to get the block's 'id' - "
             "do NOT guess or make up block IDs. "
-            "On first attempt (without input_data), returns detailed schema showing "
-            "required inputs and outputs. Then call again with proper input_data to execute."
+            "Use the 'id' from find_block results and provide input_data "
+            "matching the block's required_inputs."
         )
 
     @property
@@ -70,19 +67,11 @@ class RunBlockTool(BaseTool):
                         "NEVER guess this - always get it from find_block first."
                     ),
                 },
-                "block_name": {
-                    "type": "string",
-                    "description": (
-                        "The block's human-readable name from find_block results. "
-                        "Used for display purposes in the UI."
-                    ),
-                },
                 "input_data": {
                     "type": "object",
                     "description": (
-                        "Input values for the block. "
-                        "First call with empty {} to see the block's schema, "
-                        "then call again with proper values to execute."
+                        "Input values for the block. Use the 'required_inputs' field "
+                        "from find_block to see what fields are needed."
                     ),
                 },
             },
@@ -167,34 +156,6 @@ class RunBlockTool(BaseTool):
             await self._resolve_block_credentials(user_id, block, input_data)
         )
 
-        # Get block schemas for details/validation
-        try:
-            input_schema: dict[str, Any] = block.input_schema.jsonschema()
-        except Exception as e:
-            logger.warning(
-                "Failed to generate input schema for block %s: %s",
-                block_id,
-                e,
-            )
-            return ErrorResponse(
-                message=f"Block '{block.name}' has an invalid input schema",
-                error=str(e),
-                session_id=session_id,
-            )
-        try:
-            output_schema: dict[str, Any] = block.output_schema.jsonschema()
-        except Exception as e:
-            logger.warning(
-                "Failed to generate output schema for block %s: %s",
-                block_id,
-                e,
-            )
-            return ErrorResponse(
-                message=f"Block '{block.name}' has an invalid output schema",
-                error=str(e),
-                session_id=session_id,
-            )
-
         if missing_credentials:
             # Return setup requirements response with missing credentials
             credentials_fields_info = block.input_schema.get_credentials_fields_info()
@@ -227,53 +188,6 @@ class RunBlockTool(BaseTool):
                 graph_version=None,
             )
 
-        # Check if this is a first attempt (required inputs missing)
-        # Return block details so user can see what inputs are needed
-        credentials_fields = set(block.input_schema.get_credentials_fields().keys())
-        required_keys = set(input_schema.get("required", []))
-        required_non_credential_keys = required_keys - credentials_fields
-        provided_input_keys = set(input_data.keys()) - credentials_fields
-
-        # Check for unknown input fields
-        valid_fields = (
-            set(input_schema.get("properties", {}).keys()) - credentials_fields
-        )
-        unrecognized_fields = provided_input_keys - valid_fields
-        if unrecognized_fields:
-            return InputValidationErrorResponse(
-                message=(
-                    f"Unknown input field(s) provided: {', '.join(sorted(unrecognized_fields))}. "
-                    f"Block was not executed. Please use the correct field names from the schema."
-                ),
-                session_id=session_id,
-                unrecognized_fields=sorted(unrecognized_fields),
-                inputs=input_schema,
-            )
-
-        # Show details when not all required non-credential inputs are provided
-        if not (required_non_credential_keys <= provided_input_keys):
-            # Get credentials info for the response
-            credentials_meta = []
-            for field_name, cred_meta in matched_credentials.items():
-                credentials_meta.append(cred_meta)
-
-            return BlockDetailsResponse(
-                message=(
-                    f"Block '{block.name}' details. "
-                    "Provide input_data matching the inputs schema to execute the block."
-                ),
-                session_id=session_id,
-                block=BlockDetails(
-                    id=block_id,
-                    name=block.name,
-                    description=block.description or "",
-                    inputs=input_schema,
-                    outputs=output_schema,
-                    credentials=credentials_meta,
-                ),
-                user_authenticated=True,
-            )
-
         try:
             # Get or create user's workspace for CoPilot file operations
             workspace = await get_or_create_workspace(user_id)

autogpt_platform/backend/backend/api/features/chat/tools/run_block_test.py

@@ -1,15 +1,10 @@
-"""Tests for block execution guards and input validation in RunBlockTool."""
+"""Tests for block execution guards in RunBlockTool."""
 
-from unittest.mock import AsyncMock, MagicMock, patch
+from unittest.mock import MagicMock, patch
 
 import pytest
 
-from backend.api.features.chat.tools.models import (
-    BlockDetailsResponse,
-    BlockOutputResponse,
-    ErrorResponse,
-    InputValidationErrorResponse,
-)
+from backend.api.features.chat.tools.models import ErrorResponse
 from backend.api.features.chat.tools.run_block import RunBlockTool
 from backend.blocks._base import BlockType
 
@@ -33,39 +28,6 @@ def make_mock_block(
     return mock
 
 
-def make_mock_block_with_schema(
-    block_id: str,
-    name: str,
-    input_properties: dict,
-    required_fields: list[str],
-    output_properties: dict | None = None,
-):
-    """Create a mock block with a defined input/output schema for validation tests."""
-    mock = MagicMock()
-    mock.id = block_id
-    mock.name = name
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-    mock.description = f"Test block: {name}"
-
-    input_schema = {
-        "properties": input_properties,
-        "required": required_fields,
-    }
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = input_schema
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-    mock.input_schema.get_credentials_fields.return_value = {}
-
-    output_schema = {
-        "properties": output_properties or {"result": {"type": "string"}},
-    }
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = output_schema
-
-    return mock
-
-
 class TestRunBlockFiltering:
     """Tests for block execution guards in RunBlockTool."""
 
@@ -142,221 +104,3 @@ class TestRunBlockFiltering:
         # (may be other errors like missing credentials, but not the exclusion guard)
         if isinstance(response, ErrorResponse):
             assert "cannot be run directly in CoPilot" not in response.message
-
-
-class TestRunBlockInputValidation:
-    """Tests for input field validation in RunBlockTool.
-
-    run_block rejects unknown input field names with InputValidationErrorResponse,
-    preventing silent failures where incorrect keys would be ignored and the block
-    would execute with default values instead of the caller's intended values.
-    """
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_unknown_input_fields_are_rejected(self):
-        """run_block rejects unknown input fields instead of silently ignoring them.
-
-        Scenario: The AI Text Generator block has a field called 'model' (for LLM model
-        selection), but the LLM calling the tool guesses wrong and sends 'LLM_Model'
-        instead. The block should reject the request and return the valid schema.
-        """
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string", "description": "The prompt to send"},
-                "model": {
-                    "type": "string",
-                    "description": "The LLM model to use",
-                    "default": "gpt-4o-mini",
-                },
-                "sys_prompt": {
-                    "type": "string",
-                    "description": "System prompt",
-                    "default": "",
-                },
-            },
-            required_fields=["prompt"],
-            output_properties={"response": {"type": "string"}},
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # Provide 'prompt' (correct) but 'LLM_Model' instead of 'model' (wrong key)
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Write a haiku about coding",
-                    "LLM_Model": "claude-opus-4-6",  # WRONG KEY - should be 'model'
-                },
-            )
-
-        assert isinstance(response, InputValidationErrorResponse)
-        assert "LLM_Model" in response.unrecognized_fields
-        assert "Block was not executed" in response.message
-        assert "inputs" in response.model_dump()  # valid schema included
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_multiple_wrong_keys_are_all_reported(self):
-        """All unrecognized field names are reported in a single error response."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-                "sys_prompt": {"type": "string", "default": ""},
-                "retry": {"type": "integer", "default": 3},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Hello",  # correct
-                    "llm_model": "claude-opus-4-6",  # WRONG - should be 'model'
-                    "system_prompt": "Be helpful",  # WRONG - should be 'sys_prompt'
-                    "retries": 5,  # WRONG - should be 'retry'
-                },
-            )
-
-        assert isinstance(response, InputValidationErrorResponse)
-        assert set(response.unrecognized_fields) == {
-            "llm_model",
-            "system_prompt",
-            "retries",
-        }
-        assert "Block was not executed" in response.message
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_unknown_fields_rejected_even_with_missing_required(self):
-        """Unknown fields are caught before the missing-required-fields check."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # 'prompt' is missing AND 'LLM_Model' is an unknown field
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "LLM_Model": "claude-opus-4-6",  # wrong key, and 'prompt' is missing
-                },
-            )
-
-        # Unknown fields are caught first
-        assert isinstance(response, InputValidationErrorResponse)
-        assert "LLM_Model" in response.unrecognized_fields
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_correct_inputs_still_execute(self):
-        """Correct input field names pass validation and the block executes."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        async def mock_execute(input_data, **kwargs):
-            yield "response", "Generated text"
-
-        mock_block.execute = mock_execute
-
-        with (
-            patch(
-                "backend.api.features.chat.tools.run_block.get_block",
-                return_value=mock_block,
-            ),
-            patch(
-                "backend.api.features.chat.tools.run_block.get_or_create_workspace",
-                new_callable=AsyncMock,
-                return_value=MagicMock(id="test-workspace-id"),
-            ),
-        ):
-            tool = RunBlockTool()
-
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "prompt": "Write a haiku",
-                    "model": "gpt-4o-mini",  # correct field name
-                },
-            )
-
-        assert isinstance(response, BlockOutputResponse)
-        assert response.success is True
-
-    @pytest.mark.asyncio(loop_scope="session")
-    async def test_missing_required_fields_returns_details(self):
-        """Missing required fields returns BlockDetailsResponse with schema."""
-        session = make_session(user_id=_TEST_USER_ID)
-
-        mock_block = make_mock_block_with_schema(
-            block_id="ai-text-gen-id",
-            name="AI Text Generator",
-            input_properties={
-                "prompt": {"type": "string"},
-                "model": {"type": "string", "default": "gpt-4o-mini"},
-            },
-            required_fields=["prompt"],
-        )
-
-        with patch(
-            "backend.api.features.chat.tools.run_block.get_block",
-            return_value=mock_block,
-        ):
-            tool = RunBlockTool()
-
-            # Only provide valid optional field, missing required 'prompt'
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="ai-text-gen-id",
-                input_data={
-                    "model": "gpt-4o-mini",  # valid but optional
-                },
-            )
-
-        assert isinstance(response, BlockDetailsResponse)

autogpt_platform/backend/backend/api/features/chat/tools/test_run_block_details.py

@@ -1,153 +0,0 @@
-"""Tests for BlockDetailsResponse in RunBlockTool."""
-
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from backend.api.features.chat.tools.models import BlockDetailsResponse
-from backend.api.features.chat.tools.run_block import RunBlockTool
-from backend.blocks._base import BlockType
-from backend.data.model import CredentialsMetaInput
-from backend.integrations.providers import ProviderName
-
-from ._test_data import make_session
-
-_TEST_USER_ID = "test-user-run-block-details"
-
-
-def make_mock_block_with_inputs(
-    block_id: str, name: str, description: str = "Test description"
-):
-    """Create a mock block with input/output schemas for testing."""
-    mock = MagicMock()
-    mock.id = block_id
-    mock.name = name
-    mock.description = description
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-
-    # Input schema with non-credential fields
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = {
-        "properties": {
-            "url": {"type": "string", "description": "URL to fetch"},
-            "method": {"type": "string", "description": "HTTP method"},
-        },
-        "required": ["url"],
-    }
-    mock.input_schema.get_credentials_fields.return_value = {}
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-
-    # Output schema
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = {
-        "properties": {
-            "response": {"type": "object", "description": "HTTP response"},
-            "error": {"type": "string", "description": "Error message"},
-        }
-    }
-
-    return mock
-
-
-@pytest.mark.asyncio(loop_scope="session")
-async def test_run_block_returns_details_when_no_input_provided():
-    """When run_block is called without input_data, it should return BlockDetailsResponse."""
-    session = make_session(user_id=_TEST_USER_ID)
-
-    # Create a block with inputs
-    http_block = make_mock_block_with_inputs(
-        "http-block-id", "HTTP Request", "Send HTTP requests"
-    )
-
-    with patch(
-        "backend.api.features.chat.tools.run_block.get_block",
-        return_value=http_block,
-    ):
-        # Mock credentials check to return no missing credentials
-        with patch.object(
-            RunBlockTool,
-            "_resolve_block_credentials",
-            new_callable=AsyncMock,
-            return_value=({}, []),  # (matched_credentials, missing_credentials)
-        ):
-            tool = RunBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="http-block-id",
-                input_data={},  # Empty input data
-            )
-
-    # Should return BlockDetailsResponse showing the schema
-    assert isinstance(response, BlockDetailsResponse)
-    assert response.block.id == "http-block-id"
-    assert response.block.name == "HTTP Request"
-    assert response.block.description == "Send HTTP requests"
-    assert "url" in response.block.inputs["properties"]
-    assert "method" in response.block.inputs["properties"]
-    assert "response" in response.block.outputs["properties"]
-    assert response.user_authenticated is True
-
-
-@pytest.mark.asyncio(loop_scope="session")
-async def test_run_block_returns_details_when_only_credentials_provided():
-    """When only credentials are provided (no actual input), should return details."""
-    session = make_session(user_id=_TEST_USER_ID)
-
-    # Create a block with both credential and non-credential inputs
-    mock = MagicMock()
-    mock.id = "api-block-id"
-    mock.name = "API Call"
-    mock.description = "Make API calls"
-    mock.block_type = BlockType.STANDARD
-    mock.disabled = False
-
-    mock.input_schema = MagicMock()
-    mock.input_schema.jsonschema.return_value = {
-        "properties": {
-            "credentials": {"type": "object", "description": "API credentials"},
-            "endpoint": {"type": "string", "description": "API endpoint"},
-        },
-        "required": ["credentials", "endpoint"],
-    }
-    mock.input_schema.get_credentials_fields.return_value = {"credentials": True}
-    mock.input_schema.get_credentials_fields_info.return_value = {}
-
-    mock.output_schema = MagicMock()
-    mock.output_schema.jsonschema.return_value = {
-        "properties": {"result": {"type": "object"}}
-    }
-
-    with patch(
-        "backend.api.features.chat.tools.run_block.get_block",
-        return_value=mock,
-    ):
-        with patch.object(
-            RunBlockTool,
-            "_resolve_block_credentials",
-            new_callable=AsyncMock,
-            return_value=(
-                {
-                    "credentials": CredentialsMetaInput(
-                        id="cred-id",
-                        provider=ProviderName("test_provider"),
-                        type="api_key",
-                        title="Test Credential",
-                    )
-                },
-                [],
-            ),
-        ):
-            tool = RunBlockTool()
-            response = await tool._execute(
-                user_id=_TEST_USER_ID,
-                session=session,
-                block_id="api-block-id",
-                input_data={"credentials": {"some": "cred"}},  # Only credential
-            )
-
-    # Should return details because no non-credential inputs provided
-    assert isinstance(response, BlockDetailsResponse)
-    assert response.block.id == "api-block-id"
-    assert response.block.name == "API Call"

autogpt_platform/backend/backend/blocks/basic.py

@@ -126,6 +126,7 @@ class PrintToConsoleBlock(Block):
             output_schema=PrintToConsoleBlock.Output,
             test_input={"text": "Hello, World!"},
             is_sensitive_action=True,
+            disabled=True,  # Disabled per Nick Tindle's request (OPEN-3000)
             test_output=[
                 ("output", "Hello, World!"),
                 ("status", "printed"),

autogpt_platform/backend/poetry.lock

@@ -441,14 +441,14 @@ develop = true
 colorama = "^0.4.6"
 cryptography = "^46.0"
 expiringdict = "^1.2.2"
-fastapi = "^0.128.7"
+fastapi = "^0.128.0"
 google-cloud-logging = "^3.13.0"
-launchdarkly-server-sdk = "^9.15.0"
+launchdarkly-server-sdk = "^9.14.1"
 pydantic = "^2.12.5"
 pydantic-settings = "^2.12.0"
 pyjwt = {version = "^2.11.0", extras = ["crypto"]}
 redis = "^6.2.0"
-supabase = "^2.28.0"
+supabase = "^2.27.2"
 uvicorn = "^0.40.0"
 
 [package.source]
@@ -1382,14 +1382,14 @@ tzdata = "*"
 
 [[package]]
 name = "fastapi"
-version = "0.128.7"
+version = "0.128.6"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "fastapi-0.128.7-py3-none-any.whl", hash = "sha256:6bd9bd31cb7047465f2d3fa3ba3f33b0870b17d4eaf7cdb36d1576ab060ad662"},
-    {file = "fastapi-0.128.7.tar.gz", hash = "sha256:783c273416995486c155ad2c0e2b45905dedfaf20b9ef8d9f6a9124670639a24"},
+    {file = "fastapi-0.128.6-py3-none-any.whl", hash = "sha256:bb1c1ef87d6086a7132d0ab60869d6f1ee67283b20fbf84ec0003bd335099509"},
+    {file = "fastapi-0.128.6.tar.gz", hash = "sha256:0cb3946557e792d731b26a42b04912f16367e3c3135ea8290f620e234f2b604f"},
 ]
 
 [package.dependencies]
@@ -3117,14 +3117,14 @@ urllib3 = ">=1.26.0,<3"
 
 [[package]]
 name = "launchdarkly-server-sdk"
-version = "9.15.0"
+version = "9.14.1"
 description = "LaunchDarkly SDK for Python"
 optional = false
-python-versions = ">=3.10"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "launchdarkly_server_sdk-9.15.0-py3-none-any.whl", hash = "sha256:c267e29bfa3fb5e2a06a208448ada6ed5557a2924979b8d79c970b45d227c668"},
-    {file = "launchdarkly_server_sdk-9.15.0.tar.gz", hash = "sha256:f31441b74bc1a69c381db57c33116509e407a2612628ad6dff0a7dbb39d5020b"},
+    {file = "launchdarkly_server_sdk-9.14.1-py3-none-any.whl", hash = "sha256:a9e2bd9ecdef845cd631ae0d4334a1115e5b44257c42eb2349492be4bac7815c"},
+    {file = "launchdarkly_server_sdk-9.14.1.tar.gz", hash = "sha256:1df44baf0a0efa74d8c1dad7a00592b98bce7d19edded7f770da8dbc49922213"},
 ]
 
 [package.dependencies]
@@ -4728,14 +4728,14 @@ tests = ["coverage-conditional-plugin (>=0.9.0)", "portalocker[redis]", "pytest
 
 [[package]]
 name = "postgrest"
-version = "2.28.0"
+version = "2.27.3"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "postgrest-2.28.0-py3-none-any.whl", hash = "sha256:7bca2f24dd1a1bf8a3d586c7482aba6cd41662da6733045fad585b63b7f7df75"},
-    {file = "postgrest-2.28.0.tar.gz", hash = "sha256:c36b38646d25ea4255321d3d924ce70f8d20ec7799cb42c1221d6a818d4f6515"},
+    {file = "postgrest-2.27.3-py3-none-any.whl", hash = "sha256:ed79123af7127edd78d538bfe8351d277e45b1a36994a4dbf57ae27dde87a7b7"},
+    {file = "postgrest-2.27.3.tar.gz", hash = "sha256:c2e2679addfc8eaab23197bad7ddaee6cbb4cbe8c483ebd2d2e5219543037cc3"},
 ]
 
 [package.dependencies]
@@ -6260,14 +6260,14 @@ all = ["numpy"]
 
 [[package]]
 name = "realtime"
-version = "2.28.0"
+version = "2.27.3"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "realtime-2.28.0-py3-none-any.whl", hash = "sha256:db1bd59bab9b1fcc9f9d3b1a073bed35bf4994d720e6751f10031a58d57a3836"},
-    {file = "realtime-2.28.0.tar.gz", hash = "sha256:d18cedcebd6a8f22fcd509bc767f639761eb218b7b2b6f14fc4205b6259b50fc"},
+    {file = "realtime-2.27.3-py3-none-any.whl", hash = "sha256:f571115f86988e33c41c895cb3fba2eaa1b693aeaede3617288f44274ca90f43"},
+    {file = "realtime-2.27.3.tar.gz", hash = "sha256:02b082243107656a5ef3fb63e8e2ab4c40bc199abb45adb8a42ed63f089a1041"},
 ]
 
 [package.dependencies]
@@ -7024,14 +7024,14 @@ full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart
 
 [[package]]
 name = "storage3"
-version = "2.28.0"
+version = "2.27.3"
 description = "Supabase Storage client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "storage3-2.28.0-py3-none-any.whl", hash = "sha256:ecb50efd2ac71dabbdf97e99ad346eafa630c4c627a8e5a138ceb5fbbadae716"},
-    {file = "storage3-2.28.0.tar.gz", hash = "sha256:bc1d008aff67de7a0f2bd867baee7aadbcdb6f78f5a310b4f7a38e8c13c19865"},
+    {file = "storage3-2.27.3-py3-none-any.whl", hash = "sha256:11a05b7da84bccabeeea12d940bca3760cf63fe6ca441868677335cfe4fdfbe0"},
+    {file = "storage3-2.27.3.tar.gz", hash = "sha256:dc1a4a010cf36d5482c5cb6c1c28fc5f00e23284342b89e4ae43b5eae8501ddb"},
 ]
 
 [package.dependencies]
@@ -7091,35 +7091,35 @@ typing-extensions = {version = ">=4.5.0", markers = "python_version >= \"3.7\""}
 
 [[package]]
 name = "supabase"
-version = "2.28.0"
+version = "2.27.3"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase-2.28.0-py3-none-any.whl", hash = "sha256:42776971c7d0ccca16034df1ab96a31c50228eb1eb19da4249ad2f756fc20272"},
-    {file = "supabase-2.28.0.tar.gz", hash = "sha256:aea299aaab2a2eed3c57e0be7fc035c6807214194cce795a3575add20268ece1"},
+    {file = "supabase-2.27.3-py3-none-any.whl", hash = "sha256:082a74642fcf9954693f1ce8c251baf23e4bda26ffdbc8dcd4c99c82e60d69ff"},
+    {file = "supabase-2.27.3.tar.gz", hash = "sha256:5e5a348232ac4315c1032ddd687278f0b982465471f0cbb52bca7e6a66495ff3"},
 ]
 
 [package.dependencies]
 httpx = ">=0.26,<0.29"
-postgrest = "2.28.0"
-realtime = "2.28.0"
-storage3 = "2.28.0"
-supabase-auth = "2.28.0"
-supabase-functions = "2.28.0"
+postgrest = "2.27.3"
+realtime = "2.27.3"
+storage3 = "2.27.3"
+supabase-auth = "2.27.3"
+supabase-functions = "2.27.3"
 yarl = ">=1.22.0"
 
 [[package]]
 name = "supabase-auth"
-version = "2.28.0"
+version = "2.27.3"
 description = "Python Client Library for Supabase Auth"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_auth-2.28.0-py3-none-any.whl", hash = "sha256:2ac85026cc285054c7fa6d41924f3a333e9ec298c013e5b5e1754039ba7caec9"},
-    {file = "supabase_auth-2.28.0.tar.gz", hash = "sha256:2bb8f18ff39934e44b28f10918db965659f3735cd6fbfcc022fe0b82dbf8233e"},
+    {file = "supabase_auth-2.27.3-py3-none-any.whl", hash = "sha256:82a4262eaad85383319d394dab0eea11fcf3ebd774062aef8ea3874ae2f02579"},
+    {file = "supabase_auth-2.27.3.tar.gz", hash = "sha256:39894d4bc60b6f23b5cff4d0d7d4c1659e5d69563cadf014d4896f780ca8ca78"},
 ]
 
 [package.dependencies]
@@ -7129,14 +7129,14 @@ pyjwt = {version = ">=2.10.1", extras = ["crypto"]}
 
 [[package]]
 name = "supabase-functions"
-version = "2.28.0"
+version = "2.27.3"
 description = "Library for Supabase Functions"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "supabase_functions-2.28.0-py3-none-any.whl", hash = "sha256:30bf2d586f8df285faf0621bb5d5bb3ec3157234fc820553ca156f009475e4ae"},
-    {file = "supabase_functions-2.28.0.tar.gz", hash = "sha256:db3dddfc37aca5858819eb461130968473bd8c75bd284581013958526dac718b"},
+    {file = "supabase_functions-2.27.3-py3-none-any.whl", hash = "sha256:9d14a931d49ede1c6cf5fbfceb11c44061535ba1c3f310f15384964d86a83d9e"},
+    {file = "supabase_functions-2.27.3.tar.gz", hash = "sha256:e954f1646da8ca6e7e16accef58d0884a5f97b25956ee98e7d4927a210ed92f9"},
 ]
 
 [package.dependencies]
@@ -8440,4 +8440,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.14"
-content-hash = "fa9c5deadf593e815dd2190f58e22152373900603f5f244b9616cd721de84d2f"
+content-hash = "c06e96ad49388ba7a46786e9ea55ea2c1a57408e15613237b4bee40a592a12af"

autogpt_platform/backend/pyproject.toml

@@ -65,7 +65,7 @@ sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlal
 sqlalchemy = "^2.0.40"
 strenum = "^0.4.9"
 stripe = "^11.5.0"
-supabase = "2.28.0"
+supabase = "2.27.3"
 tenacity = "^9.1.4"
 todoist-api-python = "^2.1.7"
 tweepy = "^4.16.0"

autogpt_platform/docker-compose.platform.yml

@@ -37,7 +37,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: migrate
-    command: ["sh", "-c", "prisma generate && python3 gen_prisma_types_stub.py && prisma migrate deploy"]
+    command: ["sh", "-c", "poetry run prisma generate && poetry run gen-prisma-stub && poetry run prisma migrate deploy"]
     develop:
       watch:
         - path: ./
@@ -56,7 +56,7 @@ services:
       test:
         [
           "CMD-SHELL",
-          "prisma migrate status | grep -q 'No pending migrations' || exit 1",
+          "poetry run prisma migrate status | grep -q 'No pending migrations' || exit 1",
         ]
       interval: 30s
       timeout: 10s

autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunGraph/useRunGraph.ts

@@ -4,7 +4,7 @@ import {
 } from "@/app/api/__generated__/endpoints/graphs/graphs";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { parseAsInteger, parseAsString, useQueryStates } from "nuqs";
-import { GraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
+import { GraphExecutionMeta } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/use-agent-runs";
 import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
 import { useShallow } from "zustand/react/shallow";
 import { useEffect, useState } from "react";

autogpt_platform/frontend/src/app/(platform)/build/components/legacy-builder/RunnerInputUI.tsx

@@ -1,6 +1,6 @@
 import { useCallback } from "react";
 
-import { AgentRunDraftView } from "@/app/(platform)/build/components/legacy-builder/agent-run-draft-view";
+import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import type {
   CredentialsMetaInput,

autogpt_platform/frontend/src/app/(platform)/build/components/legacy-builder/SaveControl.tsx

@@ -18,7 +18,7 @@ import {
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { useQueryClient } from "@tanstack/react-query";
 import { getGetV2ListMySubmissionsQueryKey } from "@/app/api/__generated__/endpoints/store/store";
-import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
+import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
 import { humanizeCronExpression } from "@/lib/cron-expression-utils";
 import { CalendarClockIcon } from "lucide-react";
 

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/RunBlock.tsx

@@ -3,7 +3,6 @@
 import type { ToolUIPart } from "ai";
 import { MorphingTextAnimation } from "../../components/MorphingTextAnimation/MorphingTextAnimation";
 import { ToolAccordion } from "../../components/ToolAccordion/ToolAccordion";
-import { BlockDetailsCard } from "./components/BlockDetailsCard/BlockDetailsCard";
 import { BlockOutputCard } from "./components/BlockOutputCard/BlockOutputCard";
 import { ErrorCard } from "./components/ErrorCard/ErrorCard";
 import { SetupRequirementsCard } from "./components/SetupRequirementsCard/SetupRequirementsCard";
@@ -12,7 +11,6 @@ import {
   getAnimationText,
   getRunBlockToolOutput,
   isRunBlockBlockOutput,
-  isRunBlockDetailsOutput,
   isRunBlockErrorOutput,
   isRunBlockSetupRequirementsOutput,
   ToolIcon,
@@ -43,7 +41,6 @@ export function RunBlockTool({ part }: Props) {
     part.state === "output-available" &&
     !!output &&
     (isRunBlockBlockOutput(output) ||
-      isRunBlockDetailsOutput(output) ||
       isRunBlockSetupRequirementsOutput(output) ||
       isRunBlockErrorOutput(output));
 
@@ -61,10 +58,6 @@ export function RunBlockTool({ part }: Props) {
         <ToolAccordion {...getAccordionMeta(output)}>
           {isRunBlockBlockOutput(output) && <BlockOutputCard output={output} />}
 
-          {isRunBlockDetailsOutput(output) && (
-            <BlockDetailsCard output={output} />
-          )}
-
           {isRunBlockSetupRequirementsOutput(output) && (
             <SetupRequirementsCard output={output} />
           )}

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/components/BlockDetailsCard/BlockDetailsCard.stories.tsx

@@ -1,188 +0,0 @@
-import type { Meta, StoryObj } from "@storybook/nextjs";
-import { ResponseType } from "@/app/api/__generated__/models/responseType";
-import type { BlockDetailsResponse } from "../../helpers";
-import { BlockDetailsCard } from "./BlockDetailsCard";
-
-const meta: Meta<typeof BlockDetailsCard> = {
-  title: "Copilot/RunBlock/BlockDetailsCard",
-  component: BlockDetailsCard,
-  parameters: {
-    layout: "centered",
-  },
-  tags: ["autodocs"],
-  decorators: [
-    (Story) => (
-      <div style={{ maxWidth: 480 }}>
-        <Story />
-      </div>
-    ),
-  ],
-};
-
-export default meta;
-type Story = StoryObj<typeof meta>;
-
-const baseBlock: BlockDetailsResponse = {
-  type: ResponseType.block_details,
-  message:
-    "Here are the details for the GetWeather block. Provide the required inputs to run it.",
-  session_id: "session-123",
-  user_authenticated: true,
-  block: {
-    id: "block-abc-123",
-    name: "GetWeather",
-    description: "Fetches current weather data for a given location.",
-    inputs: {
-      type: "object",
-      properties: {
-        location: {
-          title: "Location",
-          type: "string",
-          description:
-            "City name or coordinates (e.g. 'London' or '51.5,-0.1')",
-        },
-        units: {
-          title: "Units",
-          type: "string",
-          description: "Temperature units: 'metric' or 'imperial'",
-        },
-      },
-      required: ["location"],
-    },
-    outputs: {
-      type: "object",
-      properties: {
-        temperature: {
-          title: "Temperature",
-          type: "number",
-          description: "Current temperature in the requested units",
-        },
-        condition: {
-          title: "Condition",
-          type: "string",
-          description: "Weather condition description (e.g. 'Sunny', 'Rain')",
-        },
-      },
-    },
-    credentials: [],
-  },
-};
-
-export const Default: Story = {
-  args: {
-    output: baseBlock,
-  },
-};
-
-export const InputsOnly: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "This block requires inputs. No outputs are defined.",
-      block: {
-        ...baseBlock.block,
-        outputs: {},
-      },
-    },
-  },
-};
-
-export const OutputsOnly: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "This block has no required inputs.",
-      block: {
-        ...baseBlock.block,
-        inputs: {},
-      },
-    },
-  },
-};
-
-export const ManyFields: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "Block with many input and output fields.",
-      block: {
-        ...baseBlock.block,
-        name: "SendEmail",
-        description: "Sends an email via SMTP.",
-        inputs: {
-          type: "object",
-          properties: {
-            to: {
-              title: "To",
-              type: "string",
-              description: "Recipient email address",
-            },
-            subject: {
-              title: "Subject",
-              type: "string",
-              description: "Email subject line",
-            },
-            body: {
-              title: "Body",
-              type: "string",
-              description: "Email body content",
-            },
-            cc: {
-              title: "CC",
-              type: "string",
-              description: "CC recipients (comma-separated)",
-            },
-            bcc: {
-              title: "BCC",
-              type: "string",
-              description: "BCC recipients (comma-separated)",
-            },
-          },
-          required: ["to", "subject", "body"],
-        },
-        outputs: {
-          type: "object",
-          properties: {
-            message_id: {
-              title: "Message ID",
-              type: "string",
-              description: "Unique ID of the sent email",
-            },
-            status: {
-              title: "Status",
-              type: "string",
-              description: "Delivery status",
-            },
-          },
-        },
-      },
-    },
-  },
-};
-
-export const NoFieldDescriptions: Story = {
-  args: {
-    output: {
-      ...baseBlock,
-      message: "Fields without descriptions.",
-      block: {
-        ...baseBlock.block,
-        name: "SimpleBlock",
-        inputs: {
-          type: "object",
-          properties: {
-            input_a: { title: "Input A", type: "string" },
-            input_b: { title: "Input B", type: "number" },
-          },
-          required: ["input_a"],
-        },
-        outputs: {
-          type: "object",
-          properties: {
-            result: { title: "Result", type: "string" },
-          },
-        },
-      },
-    },
-  },
-};

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/components/BlockDetailsCard/BlockDetailsCard.tsx

@@ -1,103 +0,0 @@
-"use client";
-
-import type { BlockDetailsResponse } from "../../helpers";
-import {
-  ContentBadge,
-  ContentCard,
-  ContentCardDescription,
-  ContentCardTitle,
-  ContentGrid,
-  ContentMessage,
-} from "../../../../components/ToolAccordion/AccordionContent";
-
-interface Props {
-  output: BlockDetailsResponse;
-}
-
-function SchemaFieldList({
-  title,
-  properties,
-  required,
-}: {
-  title: string;
-  properties: Record<string, unknown>;
-  required?: string[];
-}) {
-  const entries = Object.entries(properties);
-  if (entries.length === 0) return null;
-
-  const requiredSet = new Set(required ?? []);
-
-  return (
-    <ContentCard>
-      <ContentCardTitle className="text-xs">{title}</ContentCardTitle>
-      <div className="mt-2 grid gap-2">
-        {entries.map(([name, schema]) => {
-          const field = schema as Record<string, unknown> | undefined;
-          const fieldTitle =
-            typeof field?.title === "string" ? field.title : name;
-          const fieldType =
-            typeof field?.type === "string" ? field.type : "unknown";
-          const description =
-            typeof field?.description === "string"
-              ? field.description
-              : undefined;
-
-          return (
-            <div key={name} className="rounded-xl border p-2">
-              <div className="flex items-center justify-between gap-2">
-                <ContentCardTitle className="text-xs">
-                  {fieldTitle}
-                </ContentCardTitle>
-                <div className="flex gap-1">
-                  <ContentBadge>{fieldType}</ContentBadge>
-                  {requiredSet.has(name) && (
-                    <ContentBadge>Required</ContentBadge>
-                  )}
-                </div>
-              </div>
-              {description && (
-                <ContentCardDescription className="mt-1 text-xs">
-                  {description}
-                </ContentCardDescription>
-              )}
-            </div>
-          );
-        })}
-      </div>
-    </ContentCard>
-  );
-}
-
-export function BlockDetailsCard({ output }: Props) {
-  const inputs = output.block.inputs as {
-    properties?: Record<string, unknown>;
-    required?: string[];
-  } | null;
-  const outputs = output.block.outputs as {
-    properties?: Record<string, unknown>;
-    required?: string[];
-  } | null;
-
-  return (
-    <ContentGrid>
-      <ContentMessage>{output.message}</ContentMessage>
-
-      {inputs?.properties && Object.keys(inputs.properties).length > 0 && (
-        <SchemaFieldList
-          title="Inputs"
-          properties={inputs.properties}
-          required={inputs.required}
-        />
-      )}
-
-      {outputs?.properties && Object.keys(outputs.properties).length > 0 && (
-        <SchemaFieldList
-          title="Outputs"
-          properties={outputs.properties}
-          required={outputs.required}
-        />
-      )}
-    </ContentGrid>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/copilot/tools/RunBlock/helpers.tsx

@@ -10,37 +10,18 @@ import {
 import type { ToolUIPart } from "ai";
 import { OrbitLoader } from "../../components/OrbitLoader/OrbitLoader";
 
-/** Block details returned on first run_block attempt (before input_data provided). */
-export interface BlockDetailsResponse {
-  type: typeof ResponseType.block_details;
-  message: string;
-  session_id?: string | null;
-  block: {
-    id: string;
-    name: string;
-    description: string;
-    inputs: Record<string, unknown>;
-    outputs: Record<string, unknown>;
-    credentials: unknown[];
-  };
-  user_authenticated: boolean;
-}
-
 export interface RunBlockInput {
   block_id?: string;
-  block_name?: string;
   input_data?: Record<string, unknown>;
 }
 
 export type RunBlockToolOutput =
   | SetupRequirementsResponse
-  | BlockDetailsResponse
   | BlockOutputResponse
   | ErrorResponse;
 
 const RUN_BLOCK_OUTPUT_TYPES = new Set<string>([
   ResponseType.setup_requirements,
-  ResponseType.block_details,
   ResponseType.block_output,
   ResponseType.error,
 ]);
@@ -54,15 +35,6 @@ export function isRunBlockSetupRequirementsOutput(
   );
 }
 
-export function isRunBlockDetailsOutput(
-  output: RunBlockToolOutput,
-): output is BlockDetailsResponse {
-  return (
-    output.type === ResponseType.block_details ||
-    ("block" in output && typeof output.block === "object")
-  );
-}
-
 export function isRunBlockBlockOutput(
   output: RunBlockToolOutput,
 ): output is BlockOutputResponse {
@@ -92,7 +64,6 @@ function parseOutput(output: unknown): RunBlockToolOutput | null {
       return output as RunBlockToolOutput;
     }
     if ("block_id" in output) return output as BlockOutputResponse;
-    if ("block" in output) return output as BlockDetailsResponse;
     if ("setup_info" in output) return output as SetupRequirementsResponse;
     if ("error" in output || "details" in output)
       return output as ErrorResponse;
@@ -113,25 +84,17 @@ export function getAnimationText(part: {
   output?: unknown;
 }): string {
   const input = part.input as RunBlockInput | undefined;
-  const blockName = input?.block_name?.trim();
   const blockId = input?.block_id?.trim();
-  // Prefer block_name if available, otherwise fall back to block_id
-  const blockText = blockName
-    ? ` "${blockName}"`
-    : blockId
-      ? ` "${blockId}"`
-      : "";
+  const blockText = blockId ? ` "${blockId}"` : "";
 
   switch (part.state) {
     case "input-streaming":
     case "input-available":
-      return `Running${blockText}`;
+      return `Running the block${blockText}`;
     case "output-available": {
       const output = parseOutput(part.output);
-      if (!output) return `Running${blockText}`;
+      if (!output) return `Running the block${blockText}`;
       if (isRunBlockBlockOutput(output)) return `Ran "${output.block_name}"`;
-      if (isRunBlockDetailsOutput(output))
-        return `Details for "${output.block.name}"`;
       if (isRunBlockSetupRequirementsOutput(output)) {
         return `Setup needed for "${output.setup_info.agent_name}"`;
       }
@@ -195,21 +158,6 @@ export function getAccordionMeta(output: RunBlockToolOutput): {
     };
   }
 
-  if (isRunBlockDetailsOutput(output)) {
-    const inputKeys = Object.keys(
-      (output.block.inputs as { properties?: Record<string, unknown> })
-        ?.properties ?? {},
-    );
-    return {
-      icon,
-      title: output.block.name,
-      description:
-        inputKeys.length > 0
-          ? `${inputKeys.length} input field${inputKeys.length === 1 ? "" : "s"} available`
-          : output.message,
-    };
-  }
-
   if (isRunBlockSetupRequirementsOutput(output)) {
     const missingCredsCount = Object.keys(
       (output.setup_info.user_readiness?.missing_credentials ?? {}) as Record<

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView.tsx

@@ -0,0 +1,631 @@
+"use client";
+import { useParams, useRouter } from "next/navigation";
+import { useQueryState } from "nuqs";
+import React, {
+  useCallback,
+  useEffect,
+  useMemo,
+  useRef,
+  useState,
+} from "react";
+
+import {
+  Graph,
+  GraphExecution,
+  GraphExecutionID,
+  GraphExecutionMeta,
+  GraphID,
+  LibraryAgent,
+  LibraryAgentID,
+  LibraryAgentPreset,
+  LibraryAgentPresetID,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+import { exportAsJSONFile } from "@/lib/utils";
+
+import DeleteConfirmDialog from "@/components/__legacy__/delete-confirm-dialog";
+import type { ButtonAction } from "@/components/__legacy__/types";
+import { Button } from "@/components/__legacy__/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/__legacy__/ui/dialog";
+import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
+import {
+  useToast,
+  useToastOnFail,
+} from "@/components/molecules/Toast/use-toast";
+import { AgentRunDetailsView } from "./components/agent-run-details-view";
+import { AgentRunDraftView } from "./components/agent-run-draft-view";
+import { CreatePresetDialog } from "./components/create-preset-dialog";
+import { useAgentRunsInfinite } from "./use-agent-runs";
+import { AgentRunsSelectorList } from "./components/agent-runs-selector-list";
+import { AgentScheduleDetailsView } from "./components/agent-schedule-details-view";
+
+export function OldAgentLibraryView() {
+  const { id: agentID }: { id: LibraryAgentID } = useParams();
+  const [executionId, setExecutionId] = useQueryState("executionId");
+  const toastOnFail = useToastOnFail();
+  const { toast } = useToast();
+  const router = useRouter();
+  const api = useBackendAPI();
+
+  // ============================ STATE =============================
+
+  const [graph, setGraph] = useState<Graph | null>(null); // Graph version corresponding to LibraryAgent
+  const [agent, setAgent] = useState<LibraryAgent | null>(null);
+  const agentRunsQuery = useAgentRunsInfinite(graph?.id); // only runs once graph.id is known
+  const agentRuns = agentRunsQuery.agentRuns;
+  const [agentPresets, setAgentPresets] = useState<LibraryAgentPreset[]>([]);
+  const [schedules, setSchedules] = useState<Schedule[]>([]);
+  const [selectedView, selectView] = useState<
+    | { type: "run"; id?: GraphExecutionID }
+    | { type: "preset"; id: LibraryAgentPresetID }
+    | { type: "schedule"; id: ScheduleID }
+  >({ type: "run" });
+  const [selectedRun, setSelectedRun] = useState<
+    GraphExecution | GraphExecutionMeta | null
+  >(null);
+  const selectedSchedule =
+    selectedView.type == "schedule"
+      ? schedules.find((s) => s.id == selectedView.id)
+      : null;
+  const [isFirstLoad, setIsFirstLoad] = useState<boolean>(true);
+  const [agentDeleteDialogOpen, setAgentDeleteDialogOpen] =
+    useState<boolean>(false);
+  const [confirmingDeleteAgentRun, setConfirmingDeleteAgentRun] =
+    useState<GraphExecutionMeta | null>(null);
+  const [confirmingDeleteAgentPreset, setConfirmingDeleteAgentPreset] =
+    useState<LibraryAgentPresetID | null>(null);
+  const [copyAgentDialogOpen, setCopyAgentDialogOpen] = useState(false);
+  const [creatingPresetFromExecutionID, setCreatingPresetFromExecutionID] =
+    useState<GraphExecutionID | null>(null);
+
+  // Set page title with agent name
+  useEffect(() => {
+    if (agent) {
+      document.title = `${agent.name} - Library - AutoGPT Platform`;
+    }
+  }, [agent]);
+
+  const openRunDraftView = useCallback(() => {
+    selectView({ type: "run" });
+  }, []);
+
+  const selectRun = useCallback((id: GraphExecutionID) => {
+    selectView({ type: "run", id });
+  }, []);
+
+  const selectPreset = useCallback((id: LibraryAgentPresetID) => {
+    selectView({ type: "preset", id });
+  }, []);
+
+  const selectSchedule = useCallback((id: ScheduleID) => {
+    selectView({ type: "schedule", id });
+  }, []);
+
+  const graphVersions = useRef<Record<number, Graph>>({});
+  const loadingGraphVersions = useRef<Record<number, Promise<Graph>>>({});
+  const getGraphVersion = useCallback(
+    async (graphID: GraphID, version: number) => {
+      if (version in graphVersions.current)
+        return graphVersions.current[version];
+      if (version in loadingGraphVersions.current)
+        return loadingGraphVersions.current[version];
+
+      const pendingGraph = api.getGraph(graphID, version).then((graph) => {
+        graphVersions.current[version] = graph;
+        return graph;
+      });
+      // Cache promise as well to avoid duplicate requests
+      loadingGraphVersions.current[version] = pendingGraph;
+      return pendingGraph;
+    },
+    [api, graphVersions, loadingGraphVersions],
+  );
+
+  const lastRefresh = useRef<number>(0);
+  const refreshPageData = useCallback(() => {
+    if (Date.now() - lastRefresh.current < 2e3) return; // 2 second debounce
+    lastRefresh.current = Date.now();
+
+    api.getLibraryAgent(agentID).then((agent) => {
+      setAgent(agent);
+
+      getGraphVersion(agent.graph_id, agent.graph_version).then(
+        (_graph) =>
+          (graph && graph.version == _graph.version) || setGraph(_graph),
+      );
+      Promise.all([
+        agentRunsQuery.refetchRuns(),
+        api.listLibraryAgentPresets({
+          graph_id: agent.graph_id,
+          page_size: 100,
+        }),
+      ]).then(([runsQueryResult, presets]) => {
+        setAgentPresets(presets.presets);
+
+        const newestAgentRunsResponse = runsQueryResult.data?.pages[0];
+        if (!newestAgentRunsResponse || newestAgentRunsResponse.status != 200)
+          return;
+        const newestAgentRuns = newestAgentRunsResponse.data.executions;
+        // Preload the corresponding graph versions for the latest 10 runs
+        new Set(
+          newestAgentRuns.slice(0, 10).map((run) => run.graph_version),
+        ).forEach((version) => getGraphVersion(agent.graph_id, version));
+      });
+    });
+  }, [api, agentID, getGraphVersion, graph]);
+
+  // On first load: select the latest run
+  useEffect(() => {
+    // Only for first load or first execution
+    if (selectedView.id || !isFirstLoad) return;
+    if (agentRuns.length == 0 && agentPresets.length == 0) return;
+
+    setIsFirstLoad(false);
+    if (agentRuns.length > 0) {
+      // select latest run
+      const latestRun = agentRuns.reduce((latest, current) => {
+        if (!latest.started_at && !current.started_at) return latest;
+        if (!latest.started_at) return current;
+        if (!current.started_at) return latest;
+        return latest.started_at > current.started_at ? latest : current;
+      }, agentRuns[0]);
+      selectRun(latestRun.id as GraphExecutionID);
+    } else {
+      // select top preset
+      const latestPreset = agentPresets.toSorted(
+        (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
+      )[0];
+      selectPreset(latestPreset.id);
+    }
+  }, [
+    isFirstLoad,
+    selectedView.id,
+    agentRuns,
+    agentPresets,
+    selectRun,
+    selectPreset,
+  ]);
+
+  useEffect(() => {
+    if (executionId) {
+      selectRun(executionId as GraphExecutionID);
+      setExecutionId(null);
+    }
+  }, [executionId, selectRun, setExecutionId]);
+
+  // Initial load
+  useEffect(() => {
+    refreshPageData();
+
+    // Show a toast when the WebSocket connection disconnects
+    let connectionToast: ReturnType<typeof toast> | null = null;
+    const cancelDisconnectHandler = api.onWebSocketDisconnect(() => {
+      connectionToast ??= toast({
+        title: "Connection to server was lost",
+        variant: "destructive",
+        description: (
+          <div className="flex items-center">
+            Trying to reconnect...
+            <LoadingSpinner className="ml-1.5 size-3.5" />
+          </div>
+        ),
+        duration: Infinity,
+        dismissable: true,
+      });
+    });
+    const cancelConnectHandler = api.onWebSocketConnect(() => {
+      if (connectionToast)
+        connectionToast.update({
+          id: connectionToast.id,
+          title: "✅ Connection re-established",
+          variant: "default",
+          description: (
+            <div className="flex items-center">
+              Refreshing data...
+              <LoadingSpinner className="ml-1.5 size-3.5" />
+            </div>
+          ),
+          duration: 2000,
+          dismissable: true,
+        });
+      connectionToast = null;
+    });
+    return () => {
+      cancelDisconnectHandler();
+      cancelConnectHandler();
+    };
+  }, []);
+
+  // Subscribe to WebSocket updates for agent runs
+  useEffect(() => {
+    if (!agent?.graph_id) return;
+
+    return api.onWebSocketConnect(() => {
+      refreshPageData(); // Sync up on (re)connect
+
+      // Subscribe to all executions for this agent
+      api.subscribeToGraphExecutions(agent.graph_id);
+    });
+  }, [api, agent?.graph_id, refreshPageData]);
+
+  // Handle execution updates
+  useEffect(() => {
+    const detachExecUpdateHandler = api.onWebSocketMessage(
+      "graph_execution_event",
+      (data) => {
+        if (data.graph_id != agent?.graph_id) return;
+
+        agentRunsQuery.upsertAgentRun(data);
+        if (data.id === selectedView.id) {
+          // Update currently viewed run
+          setSelectedRun(data);
+        }
+      },
+    );
+
+    return () => {
+      detachExecUpdateHandler();
+    };
+  }, [api, agent?.graph_id, selectedView.id]);
+
+  // Pre-load selectedRun based on selectedView
+  useEffect(() => {
+    if (selectedView.type != "run" || !selectedView.id) return;
+
+    const newSelectedRun = agentRuns.find((run) => run.id == selectedView.id);
+    if (selectedView.id !== selectedRun?.id) {
+      // Pull partial data from "cache" while waiting for the rest to load
+      setSelectedRun((newSelectedRun as GraphExecutionMeta) ?? null);
+    }
+  }, [api, selectedView, agentRuns, selectedRun?.id]);
+
+  // Load selectedRun based on selectedView; refresh on agent refresh
+  useEffect(() => {
+    if (selectedView.type != "run" || !selectedView.id || !agent) return;
+
+    api
+      .getGraphExecutionInfo(agent.graph_id, selectedView.id)
+      .then(async (run) => {
+        // Ensure corresponding graph version is available before rendering I/O
+        await getGraphVersion(run.graph_id, run.graph_version);
+        setSelectedRun(run);
+      });
+  }, [api, selectedView, agent, getGraphVersion]);
+
+  const fetchSchedules = useCallback(async () => {
+    if (!agent) return;
+
+    setSchedules(await api.listGraphExecutionSchedules(agent.graph_id));
+  }, [api, agent?.graph_id]);
+
+  useEffect(() => {
+    fetchSchedules();
+  }, [fetchSchedules]);
+
+  // =========================== ACTIONS ============================
+
+  const deleteRun = useCallback(
+    async (run: GraphExecutionMeta) => {
+      if (run.status == "RUNNING" || run.status == "QUEUED") {
+        await api.stopGraphExecution(run.graph_id, run.id);
+      }
+      await api.deleteGraphExecution(run.id);
+
+      setConfirmingDeleteAgentRun(null);
+      if (selectedView.type == "run" && selectedView.id == run.id) {
+        openRunDraftView();
+      }
+      agentRunsQuery.removeAgentRun(run.id);
+    },
+    [api, selectedView, openRunDraftView],
+  );
+
+  const deletePreset = useCallback(
+    async (presetID: LibraryAgentPresetID) => {
+      await api.deleteLibraryAgentPreset(presetID);
+
+      setConfirmingDeleteAgentPreset(null);
+      if (selectedView.type == "preset" && selectedView.id == presetID) {
+        openRunDraftView();
+      }
+      setAgentPresets((presets) => presets.filter((p) => p.id !== presetID));
+    },
+    [api, selectedView, openRunDraftView],
+  );
+
+  const deleteSchedule = useCallback(
+    async (scheduleID: ScheduleID) => {
+      const removedSchedule =
+        await api.deleteGraphExecutionSchedule(scheduleID);
+
+      setSchedules((schedules) => {
+        const newSchedules = schedules.filter(
+          (s) => s.id !== removedSchedule.id,
+        );
+        if (
+          selectedView.type == "schedule" &&
+          selectedView.id == removedSchedule.id
+        ) {
+          if (newSchedules.length > 0) {
+            // Select next schedule if available
+            selectSchedule(newSchedules[0].id);
+          } else {
+            // Reset to draft view if current schedule was deleted
+            openRunDraftView();
+          }
+        }
+        return newSchedules;
+      });
+      openRunDraftView();
+    },
+    [schedules, api],
+  );
+
+  const handleCreatePresetFromRun = useCallback(
+    async (name: string, description: string) => {
+      if (!creatingPresetFromExecutionID) return;
+
+      await api
+        .createLibraryAgentPreset({
+          name,
+          description,
+          graph_execution_id: creatingPresetFromExecutionID,
+        })
+        .then((preset) => {
+          setAgentPresets((prev) => [...prev, preset]);
+          selectPreset(preset.id);
+          setCreatingPresetFromExecutionID(null);
+        })
+        .catch(toastOnFail("create a preset"));
+    },
+    [api, creatingPresetFromExecutionID, selectPreset, toast],
+  );
+
+  const downloadGraph = useCallback(
+    async () =>
+      agent &&
+      // Export sanitized graph from backend
+      api
+        .getGraph(agent.graph_id, agent.graph_version, true)
+        .then((graph) =>
+          exportAsJSONFile(graph, `${graph.name}_v${graph.version}.json`),
+        ),
+    [api, agent],
+  );
+
+  const copyAgent = useCallback(async () => {
+    setCopyAgentDialogOpen(false);
+    api
+      .forkLibraryAgent(agentID)
+      .then((newAgent) => {
+        router.push(`/library/agents/${newAgent.id}`);
+      })
+      .catch((error) => {
+        console.error("Error copying agent:", error);
+        toast({
+          title: "Error copying agent",
+          description: `An error occurred while copying the agent: ${error.message}`,
+          variant: "destructive",
+        });
+      });
+  }, [agentID, api, router, toast]);
+
+  const agentActions: ButtonAction[] = useMemo(
+    () => [
+      {
+        label: "Customize agent",
+        href: `/build?flowID=${agent?.graph_id}&flowVersion=${agent?.graph_version}`,
+        disabled: !agent?.can_access_graph,
+      },
+      { label: "Export agent to file", callback: downloadGraph },
+      ...(!agent?.can_access_graph
+        ? [
+            {
+              label: "Edit a copy",
+              callback: () => setCopyAgentDialogOpen(true),
+            },
+          ]
+        : []),
+      {
+        label: "Delete agent",
+        callback: () => setAgentDeleteDialogOpen(true),
+      },
+    ],
+    [agent, downloadGraph],
+  );
+
+  const runGraph =
+    graphVersions.current[selectedRun?.graph_version ?? 0] ?? graph;
+
+  const onCreateSchedule = useCallback(
+    (schedule: Schedule) => {
+      setSchedules((prev) => [...prev, schedule]);
+      selectSchedule(schedule.id);
+    },
+    [selectView],
+  );
+
+  const onCreatePreset = useCallback(
+    (preset: LibraryAgentPreset) => {
+      setAgentPresets((prev) => [...prev, preset]);
+      selectPreset(preset.id);
+    },
+    [selectPreset],
+  );
+
+  const onUpdatePreset = useCallback(
+    (updated: LibraryAgentPreset) => {
+      setAgentPresets((prev) =>
+        prev.map((p) => (p.id === updated.id ? updated : p)),
+      );
+      selectPreset(updated.id);
+    },
+    [selectPreset],
+  );
+
+  if (!agent || !graph) {
+    return <LoadingBox className="h-[90vh]" />;
+  }
+
+  return (
+    <div className="container justify-stretch p-0 pt-16 lg:flex">
+      {/* Sidebar w/ list of runs */}
+      {/* TODO: render this below header in sm and md layouts */}
+      <AgentRunsSelectorList
+        className="agpt-div w-full border-b pb-2 lg:w-auto lg:border-b-0 lg:border-r lg:pb-0"
+        agent={agent}
+        agentRunsQuery={agentRunsQuery}
+        agentPresets={agentPresets}
+        schedules={schedules}
+        selectedView={selectedView}
+        onSelectRun={selectRun}
+        onSelectPreset={selectPreset}
+        onSelectSchedule={selectSchedule}
+        onSelectDraftNewRun={openRunDraftView}
+        doDeleteRun={setConfirmingDeleteAgentRun}
+        doDeletePreset={setConfirmingDeleteAgentPreset}
+        doDeleteSchedule={deleteSchedule}
+        doCreatePresetFromRun={setCreatingPresetFromExecutionID}
+      />
+
+      <div className="flex-1">
+        {/* Header */}
+        <div className="agpt-div w-full border-b">
+          <h1
+            data-testid="agent-title"
+            className="font-poppins text-3xl font-medium"
+          >
+            {
+              agent.name /* TODO: use dynamic/custom run title - https://github.com/Significant-Gravitas/AutoGPT/issues/9184 */
+            }
+          </h1>
+        </div>
+
+        {/* Run / Schedule views */}
+        {(selectedView.type == "run" && selectedView.id ? (
+          selectedRun && runGraph ? (
+            <AgentRunDetailsView
+              agent={agent}
+              graph={runGraph}
+              run={selectedRun}
+              agentActions={agentActions}
+              onRun={selectRun}
+              doDeleteRun={() => setConfirmingDeleteAgentRun(selectedRun)}
+              doCreatePresetFromRun={() =>
+                setCreatingPresetFromExecutionID(selectedRun.id)
+              }
+            />
+          ) : null
+        ) : selectedView.type == "run" ? (
+          /* Draft new runs / Create new presets */
+          <AgentRunDraftView
+            graph={graph}
+            onRun={selectRun}
+            onCreateSchedule={onCreateSchedule}
+            onCreatePreset={onCreatePreset}
+            agentActions={agentActions}
+            recommendedScheduleCron={agent?.recommended_schedule_cron || null}
+          />
+        ) : selectedView.type == "preset" ? (
+          /* Edit & update presets */
+          <AgentRunDraftView
+            graph={graph}
+            agentPreset={
+              agentPresets.find((preset) => preset.id == selectedView.id)!
+            }
+            onRun={selectRun}
+            recommendedScheduleCron={agent?.recommended_schedule_cron || null}
+            onCreateSchedule={onCreateSchedule}
+            onUpdatePreset={onUpdatePreset}
+            doDeletePreset={setConfirmingDeleteAgentPreset}
+            agentActions={agentActions}
+          />
+        ) : selectedView.type == "schedule" ? (
+          selectedSchedule &&
+          graph && (
+            <AgentScheduleDetailsView
+              graph={graph}
+              schedule={selectedSchedule}
+              // agent={agent}
+              agentActions={agentActions}
+              onForcedRun={selectRun}
+              doDeleteSchedule={deleteSchedule}
+            />
+          )
+        ) : null) || <LoadingBox className="h-[70vh]" />}
+
+        <DeleteConfirmDialog
+          entityType="agent"
+          open={agentDeleteDialogOpen}
+          onOpenChange={setAgentDeleteDialogOpen}
+          onDoDelete={() =>
+            agent &&
+            api.deleteLibraryAgent(agent.id).then(() => router.push("/library"))
+          }
+        />
+
+        <DeleteConfirmDialog
+          entityType="agent run"
+          open={!!confirmingDeleteAgentRun}
+          onOpenChange={(open) => !open && setConfirmingDeleteAgentRun(null)}
+          onDoDelete={() =>
+            confirmingDeleteAgentRun && deleteRun(confirmingDeleteAgentRun)
+          }
+        />
+        <DeleteConfirmDialog
+          entityType={agent.has_external_trigger ? "trigger" : "agent preset"}
+          open={!!confirmingDeleteAgentPreset}
+          onOpenChange={(open) => !open && setConfirmingDeleteAgentPreset(null)}
+          onDoDelete={() =>
+            confirmingDeleteAgentPreset &&
+            deletePreset(confirmingDeleteAgentPreset)
+          }
+        />
+        {/* Copy agent confirmation dialog */}
+        <Dialog
+          onOpenChange={setCopyAgentDialogOpen}
+          open={copyAgentDialogOpen}
+        >
+          <DialogContent>
+            <DialogHeader>
+              <DialogTitle>You&apos;re making an editable copy</DialogTitle>
+              <DialogDescription className="pt-2">
+                The original Marketplace agent stays the same and cannot be
+                edited. We&apos;ll save a new version of this agent to your
+                Library. From there, you can customize it however you&apos;d
+                like by clicking &quot;Customize agent&quot; — this will open
+                the builder where you can see and modify the inner workings.
+              </DialogDescription>
+            </DialogHeader>
+            <DialogFooter className="justify-end">
+              <Button
+                type="button"
+                variant="outline"
+                onClick={() => setCopyAgentDialogOpen(false)}
+              >
+                Cancel
+              </Button>
+              <Button type="button" onClick={copyAgent}>
+                Continue
+              </Button>
+            </DialogFooter>
+          </DialogContent>
+        </Dialog>
+        <CreatePresetDialog
+          open={!!creatingPresetFromExecutionID}
+          onOpenChange={() => setCreatingPresetFromExecutionID(null)}
+          onConfirm={handleCreatePresetFromRun}
+        />
+      </div>
+    </div>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-details-view.tsx

@@ -0,0 +1,445 @@
+"use client";
+import { format, formatDistanceToNow, formatDistanceStrict } from "date-fns";
+import React, { useCallback, useMemo, useEffect } from "react";
+
+import {
+  Graph,
+  GraphExecution,
+  GraphExecutionID,
+  GraphExecutionMeta,
+  LibraryAgent,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+import ActionButtonGroup from "@/components/__legacy__/action-button-group";
+import type { ButtonAction } from "@/components/__legacy__/types";
+import {
+  Card,
+  CardContent,
+  CardHeader,
+  CardTitle,
+} from "@/components/__legacy__/ui/card";
+import {
+  IconRefresh,
+  IconSquare,
+  IconCircleAlert,
+} from "@/components/__legacy__/ui/icons";
+import { Input } from "@/components/__legacy__/ui/input";
+import LoadingBox from "@/components/__legacy__/ui/loading";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipProvider,
+  TooltipTrigger,
+} from "@/components/atoms/Tooltip/BaseTooltip";
+import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
+
+import { AgentRunStatus, agentRunStatusMap } from "./agent-run-status-chip";
+import useCredits from "@/hooks/useCredits";
+import { AgentRunOutputView } from "./agent-run-output-view";
+import { analytics } from "@/services/analytics";
+import { PendingReviewsList } from "@/components/organisms/PendingReviewsList/PendingReviewsList";
+import { usePendingReviewsForExecution } from "@/hooks/usePendingReviews";
+
+export function AgentRunDetailsView({
+  agent,
+  graph,
+  run,
+  agentActions,
+  onRun,
+  doDeleteRun,
+  doCreatePresetFromRun,
+}: {
+  agent: LibraryAgent;
+  graph: Graph;
+  run: GraphExecution | GraphExecutionMeta;
+  agentActions: ButtonAction[];
+  onRun: (runID: GraphExecutionID) => void;
+  doDeleteRun: () => void;
+  doCreatePresetFromRun: () => void;
+}): React.ReactNode {
+  const api = useBackendAPI();
+  const { formatCredits } = useCredits();
+
+  const runStatus: AgentRunStatus = useMemo(
+    () => agentRunStatusMap[run.status],
+    [run],
+  );
+
+  const {
+    pendingReviews,
+    isLoading: reviewsLoading,
+    refetch: refetchReviews,
+  } = usePendingReviewsForExecution(run.id);
+
+  const toastOnFail = useToastOnFail();
+
+  // Refetch pending reviews when execution status changes to REVIEW
+  useEffect(() => {
+    if (runStatus === "review" && run.id) {
+      refetchReviews();
+    }
+  }, [runStatus, run.id, refetchReviews]);
+
+  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
+    if (!run) return [];
+    return [
+      {
+        label: "Status",
+        value: runStatus.charAt(0).toUpperCase() + runStatus.slice(1),
+      },
+      {
+        label: "Started",
+        value: run.started_at
+          ? `${formatDistanceToNow(run.started_at, { addSuffix: true })}, ${format(run.started_at, "HH:mm")}`
+          : "—",
+      },
+      ...(run.stats
+        ? [
+            {
+              label: "Duration",
+              value: formatDistanceStrict(0, run.stats.duration * 1000),
+            },
+            { label: "Steps", value: run.stats.node_exec_count },
+            { label: "Cost", value: formatCredits(run.stats.cost) },
+          ]
+        : []),
+    ];
+  }, [run, runStatus, formatCredits]);
+
+  const agentRunInputs:
+    | Record<
+        string,
+        {
+          title?: string;
+          /* type: BlockIOSubType; */
+          value: string | number | undefined;
+        }
+      >
+    | undefined = useMemo(() => {
+    if (!run.inputs) return undefined;
+    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(run.inputs).map(([k, v]) => [
+        k,
+        {
+          title: graph.input_schema.properties[k]?.title,
+          // type: graph.input_schema.properties[k].type, // TODO: implement typed graph inputs
+          value: typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
+        },
+      ]),
+    );
+  }, [graph, run]);
+
+  const runAgain = useCallback(() => {
+    if (
+      !run.inputs ||
+      !(graph.credentials_input_schema?.required ?? []).every(
+        (k) => k in (run.credential_inputs ?? {}),
+      )
+    )
+      return;
+
+    if (run.preset_id) {
+      return api
+        .executeLibraryAgentPreset(
+          run.preset_id,
+          run.inputs!,
+          run.credential_inputs!,
+        )
+        .then(({ id }) => {
+          analytics.sendDatafastEvent("run_agent", {
+            name: graph.name,
+            id: graph.id,
+          });
+          onRun(id);
+        })
+        .catch(toastOnFail("execute agent preset"));
+    }
+
+    return api
+      .executeGraph(
+        graph.id,
+        graph.version,
+        run.inputs!,
+        run.credential_inputs!,
+        "library",
+      )
+      .then(({ id }) => {
+        analytics.sendDatafastEvent("run_agent", {
+          name: graph.name,
+          id: graph.id,
+        });
+        onRun(id);
+      })
+      .catch(toastOnFail("execute agent"));
+  }, [api, graph, run, onRun, toastOnFail]);
+
+  const stopRun = useCallback(
+    () => api.stopGraphExecution(graph.id, run.id),
+    [api, graph.id, run.id],
+  );
+
+  const agentRunOutputs:
+    | Record<
+        string,
+        {
+          title?: string;
+          /* type: BlockIOSubType; */
+          values: Array<React.ReactNode>;
+        }
+      >
+    | null
+    | undefined = useMemo(() => {
+    if (!("outputs" in run)) return undefined;
+    if (!["running", "success", "failed", "stopped"].includes(runStatus))
+      return null;
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(run.outputs).map(([k, vv]) => [
+        k,
+        {
+          title: graph.output_schema.properties[k].title,
+          /* type: agent.output_schema.properties[k].type */
+          values: vv.map((v) =>
+            typeof v == "object" ? JSON.stringify(v, undefined, 2) : v,
+          ),
+        },
+      ]),
+    );
+  }, [graph, run, runStatus]);
+
+  const runActions: ButtonAction[] = useMemo(
+    () => [
+      ...(["running", "queued"].includes(runStatus)
+        ? ([
+            {
+              label: (
+                <>
+                  <IconSquare className="mr-2 size-4" />
+                  Stop run
+                </>
+              ),
+              variant: "secondary",
+              callback: stopRun,
+            },
+          ] satisfies ButtonAction[])
+        : []),
+      ...(["success", "failed", "stopped"].includes(runStatus) &&
+      !graph.has_external_trigger &&
+      (graph.credentials_input_schema?.required ?? []).every(
+        (k) => k in (run.credential_inputs ?? {}),
+      )
+        ? [
+            {
+              label: (
+                <>
+                  <IconRefresh className="mr-2 size-4" />
+                  Run again
+                </>
+              ),
+              callback: runAgain,
+              dataTestId: "run-again-button",
+            },
+          ]
+        : []),
+      ...(agent.can_access_graph
+        ? [
+            {
+              label: "Open run in builder",
+              href: `/build?flowID=${run.graph_id}&flowVersion=${run.graph_version}&flowExecutionID=${run.id}`,
+            },
+          ]
+        : []),
+      { label: "Create preset from run", callback: doCreatePresetFromRun },
+      { label: "Delete run", variant: "secondary", callback: doDeleteRun },
+    ],
+    [
+      runStatus,
+      runAgain,
+      stopRun,
+      doDeleteRun,
+      doCreatePresetFromRun,
+      graph.has_external_trigger,
+      graph.credentials_input_schema?.required,
+      agent.can_access_graph,
+      run.graph_id,
+      run.graph_version,
+      run.id,
+    ],
+  );
+
+  return (
+    <div className="agpt-div flex gap-6">
+      <div className="flex flex-1 flex-col gap-4">
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Info</CardTitle>
+          </CardHeader>
+
+          <CardContent>
+            <div className="flex justify-stretch gap-4">
+              {infoStats.map(({ label, value }) => (
+                <div key={label} className="flex-1">
+                  <p className="text-sm font-medium text-black">{label}</p>
+                  <p className="text-sm text-neutral-600">{value}</p>
+                </div>
+              ))}
+            </div>
+            {run.status === "FAILED" && (
+              <div className="mt-4 rounded-md border border-red-200 bg-red-50 p-3 dark:border-red-800 dark:bg-red-900/20">
+                <p className="text-sm text-red-800 dark:text-red-200">
+                  <strong>Error:</strong>{" "}
+                  {run.stats?.error ||
+                    "The execution failed due to an internal error. You can re-run the agent to retry."}
+                </p>
+              </div>
+            )}
+          </CardContent>
+        </Card>
+
+        {/* Smart Agent Execution Summary */}
+        {run.stats?.activity_status && (
+          <Card className="agpt-box">
+            <CardHeader>
+              <CardTitle className="flex items-center gap-2 font-poppins text-lg">
+                Task Summary
+                <TooltipProvider>
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <IconCircleAlert className="size-4 cursor-help text-neutral-500 hover:text-neutral-700" />
+                    </TooltipTrigger>
+                    <TooltipContent>
+                      <p className="max-w-xs">
+                        This AI-generated summary describes how the agent
+                        handled your task. It’s an experimental feature and may
+                        occasionally be inaccurate.
+                      </p>
+                    </TooltipContent>
+                  </Tooltip>
+                </TooltipProvider>
+              </CardTitle>
+            </CardHeader>
+            <CardContent className="space-y-4">
+              <p className="text-sm leading-relaxed text-neutral-700">
+                {run.stats.activity_status}
+              </p>
+
+              {/* Correctness Score */}
+              {typeof run.stats.correctness_score === "number" && (
+                <div className="flex items-center gap-3 rounded-lg bg-neutral-50 p-3">
+                  <div className="flex items-center gap-2">
+                    <span className="text-sm font-medium text-neutral-600">
+                      Success Estimate:
+                    </span>
+                    <div className="flex items-center gap-2">
+                      <div className="relative h-2 w-16 overflow-hidden rounded-full bg-neutral-200">
+                        <div
+                          className={`h-full transition-all ${
+                            run.stats.correctness_score >= 0.8
+                              ? "bg-green-500"
+                              : run.stats.correctness_score >= 0.6
+                                ? "bg-yellow-500"
+                                : run.stats.correctness_score >= 0.4
+                                  ? "bg-orange-500"
+                                  : "bg-red-500"
+                          }`}
+                          style={{
+                            width: `${Math.round(run.stats.correctness_score * 100)}%`,
+                          }}
+                        />
+                      </div>
+                      <span className="text-sm font-medium">
+                        {Math.round(run.stats.correctness_score * 100)}%
+                      </span>
+                    </div>
+                  </div>
+                  <TooltipProvider>
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <IconCircleAlert className="size-4 cursor-help text-neutral-400 hover:text-neutral-600" />
+                      </TooltipTrigger>
+                      <TooltipContent>
+                        <p className="max-w-xs">
+                          AI-generated estimate of how well this execution
+                          achieved its intended purpose. This score indicates
+                          {run.stats.correctness_score >= 0.8
+                            ? " the agent was highly successful."
+                            : run.stats.correctness_score >= 0.6
+                              ? " the agent was mostly successful with minor issues."
+                              : run.stats.correctness_score >= 0.4
+                                ? " the agent was partially successful with some gaps."
+                                : " the agent had limited success with significant issues."}
+                        </p>
+                      </TooltipContent>
+                    </Tooltip>
+                  </TooltipProvider>
+                </div>
+              )}
+            </CardContent>
+          </Card>
+        )}
+
+        {agentRunOutputs !== null && (
+          <AgentRunOutputView agentRunOutputs={agentRunOutputs} />
+        )}
+
+        {/* Pending Reviews Section */}
+        {runStatus === "review" && (
+          <Card className="agpt-box">
+            <CardHeader>
+              <CardTitle className="font-poppins text-lg">
+                Pending Reviews ({pendingReviews.length})
+              </CardTitle>
+            </CardHeader>
+            <CardContent>
+              {reviewsLoading ? (
+                <LoadingBox spinnerSize={12} className="h-24" />
+              ) : pendingReviews.length > 0 ? (
+                <PendingReviewsList
+                  reviews={pendingReviews}
+                  onReviewComplete={refetchReviews}
+                  emptyMessage="No pending reviews for this execution"
+                />
+              ) : (
+                <div className="py-4 text-neutral-600">
+                  No pending reviews for this execution
+                </div>
+              )}
+            </CardContent>
+          </Card>
+        )}
+
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Input</CardTitle>
+          </CardHeader>
+          <CardContent className="flex flex-col gap-4">
+            {agentRunInputs !== undefined ? (
+              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
+                <div key={key} className="flex flex-col gap-1.5">
+                  <label className="text-sm font-medium">{title || key}</label>
+                  <Input value={value} className="rounded-full" disabled />
+                </div>
+              ))
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Run / Agent Actions */}
+      <aside className="w-48 xl:w-56">
+        <div className="flex flex-col gap-8">
+          <ActionButtonGroup title="Run actions" actions={runActions} />
+
+          <ActionButtonGroup title="Agent actions" actions={agentActions} />
+        </div>
+      </aside>
+    </div>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-draft-view.tsx

@@ -20,7 +20,7 @@ import {
 import { useBackendAPI } from "@/lib/autogpt-server-api/context";
 
 import { RunAgentInputs } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentInputs/RunAgentInputs";
-import { ScheduleTaskDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
+import { ScheduleTaskDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
 import ActionButtonGroup from "@/components/__legacy__/action-button-group";
 import type { ButtonAction } from "@/components/__legacy__/types";
 import {
@@ -53,10 +53,7 @@ import { ClockIcon, CopyIcon, InfoIcon } from "@phosphor-icons/react";
 import { CalendarClockIcon, Trash2Icon } from "lucide-react";
 
 import { analytics } from "@/services/analytics";
-import {
-  AgentStatus,
-  AgentStatusChip,
-} from "@/app/(platform)/build/components/legacy-builder/agent-status-chip";
+import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
 
 export function AgentRunDraftView({
   graph,

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-output-view.tsx

@@ -0,0 +1,178 @@
+"use client";
+
+import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
+import React, { useMemo } from "react";
+
+import {
+  Card,
+  CardContent,
+  CardHeader,
+  CardTitle,
+} from "@/components/__legacy__/ui/card";
+
+import LoadingBox from "@/components/__legacy__/ui/loading";
+import type { OutputMetadata } from "../../../../../../../../components/contextual/OutputRenderers";
+import {
+  globalRegistry,
+  OutputActions,
+  OutputItem,
+} from "../../../../../../../../components/contextual/OutputRenderers";
+
+export function AgentRunOutputView({
+  agentRunOutputs,
+}: {
+  agentRunOutputs:
+    | Record<
+        string,
+        {
+          title?: string;
+          /* type: BlockIOSubType; */
+          values: Array<React.ReactNode>;
+        }
+      >
+    | undefined;
+}) {
+  const enableEnhancedOutputHandling = useGetFlag(
+    Flag.ENABLE_ENHANCED_OUTPUT_HANDLING,
+  );
+
+  // Prepare items for the renderer system
+  const outputItems = useMemo(() => {
+    if (!agentRunOutputs) return [];
+
+    const items: Array<{
+      key: string;
+      label: string;
+      value: unknown;
+      metadata?: OutputMetadata;
+      renderer: any;
+    }> = [];
+
+    Object.entries(agentRunOutputs).forEach(([key, { title, values }]) => {
+      values.forEach((value, index) => {
+        // Enhanced metadata extraction
+        const metadata: OutputMetadata = {};
+
+        // Type guard to safely access properties
+        if (
+          typeof value === "object" &&
+          value !== null &&
+          !React.isValidElement(value)
+        ) {
+          const objValue = value as any;
+          if (objValue.type) metadata.type = objValue.type;
+          if (objValue.mimeType) metadata.mimeType = objValue.mimeType;
+          if (objValue.filename) metadata.filename = objValue.filename;
+        }
+
+        const renderer = globalRegistry.getRenderer(value, metadata);
+        if (renderer) {
+          items.push({
+            key: `${key}-${index}`,
+            label: index === 0 ? title || key : "",
+            value,
+            metadata,
+            renderer,
+          });
+        } else {
+          const textRenderer = globalRegistry
+            .getAllRenderers()
+            .find((r) => r.name === "TextRenderer");
+          if (textRenderer) {
+            items.push({
+              key: `${key}-${index}`,
+              label: index === 0 ? title || key : "",
+              value: JSON.stringify(value, null, 2),
+              metadata,
+              renderer: textRenderer,
+            });
+          }
+        }
+      });
+    });
+
+    return items;
+  }, [agentRunOutputs]);
+
+  return (
+    <>
+      {enableEnhancedOutputHandling ? (
+        <Card className="agpt-box" style={{ maxWidth: "950px" }}>
+          <CardHeader>
+            <div className="flex items-center justify-between">
+              <CardTitle className="font-poppins text-lg">Output</CardTitle>
+              {outputItems.length > 0 && (
+                <OutputActions
+                  items={outputItems.map((item) => ({
+                    value: item.value,
+                    metadata: item.metadata,
+                    renderer: item.renderer,
+                  }))}
+                />
+              )}
+            </div>
+          </CardHeader>
+
+          <CardContent
+            className="flex flex-col gap-4"
+            style={{ maxWidth: "660px" }}
+          >
+            {agentRunOutputs !== undefined ? (
+              outputItems.length > 0 ? (
+                outputItems.map((item) => (
+                  <OutputItem
+                    key={item.key}
+                    value={item.value}
+                    metadata={item.metadata}
+                    renderer={item.renderer}
+                    label={item.label}
+                  />
+                ))
+              ) : (
+                <p className="text-sm text-muted-foreground">
+                  No outputs to display
+                </p>
+              )
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      ) : (
+        <Card className="agpt-box" style={{ maxWidth: "950px" }}>
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Output</CardTitle>
+          </CardHeader>
+
+          <CardContent
+            className="flex flex-col gap-4"
+            style={{ maxWidth: "660px" }}
+          >
+            {agentRunOutputs !== undefined ? (
+              Object.entries(agentRunOutputs).map(
+                ([key, { title, values }]) => (
+                  <div key={key} className="flex flex-col gap-1.5">
+                    <label className="text-sm font-medium">
+                      {title || key}
+                    </label>
+                    {values.map((value, i) => (
+                      <p
+                        className="resize-none overflow-x-auto whitespace-pre-wrap break-words border-none text-sm text-neutral-700 disabled:cursor-not-allowed"
+                        key={i}
+                      >
+                        {value}
+                      </p>
+                    ))}
+                    {/* TODO: pretty type-dependent rendering */}
+                  </div>
+                ),
+              )
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      )}
+    </>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-status-chip.tsx

@@ -0,0 +1,68 @@
+import React from "react";
+
+import { Badge } from "@/components/__legacy__/ui/badge";
+
+import { GraphExecutionMeta } from "@/lib/autogpt-server-api/types";
+
+export type AgentRunStatus =
+  | "success"
+  | "failed"
+  | "queued"
+  | "running"
+  | "stopped"
+  | "scheduled"
+  | "draft"
+  | "review";
+
+export const agentRunStatusMap: Record<
+  GraphExecutionMeta["status"],
+  AgentRunStatus
+> = {
+  INCOMPLETE: "draft",
+  COMPLETED: "success",
+  FAILED: "failed",
+  QUEUED: "queued",
+  RUNNING: "running",
+  TERMINATED: "stopped",
+  REVIEW: "review",
+};
+
+const statusData: Record<
+  AgentRunStatus,
+  { label: string; variant: keyof typeof statusStyles }
+> = {
+  success: { label: "Success", variant: "success" },
+  running: { label: "Running", variant: "info" },
+  failed: { label: "Failed", variant: "destructive" },
+  queued: { label: "Queued", variant: "warning" },
+  draft: { label: "Draft", variant: "secondary" },
+  stopped: { label: "Stopped", variant: "secondary" },
+  scheduled: { label: "Scheduled", variant: "secondary" },
+  review: { label: "In Review", variant: "warning" },
+};
+
+const statusStyles = {
+  success:
+    "bg-green-100 text-green-800 hover:bg-green-100 hover:text-green-800",
+  destructive: "bg-red-100 text-red-800 hover:bg-red-100 hover:text-red-800",
+  warning:
+    "bg-yellow-100 text-yellow-800 hover:bg-yellow-100 hover:text-yellow-800",
+  info: "bg-blue-100 text-blue-800 hover:bg-blue-100 hover:text-blue-800",
+  secondary:
+    "bg-slate-100 text-slate-800 hover:bg-slate-100 hover:text-slate-800",
+};
+
+export function AgentRunStatusChip({
+  status,
+}: {
+  status: AgentRunStatus;
+}): React.ReactElement {
+  return (
+    <Badge
+      variant="secondary"
+      className={`text-xs font-medium ${statusStyles[statusData[status]?.variant]} rounded-[45px] px-[9px] py-[3px]`}
+    >
+      {statusData[status]?.label}
+    </Badge>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-run-summary-card.tsx

@@ -0,0 +1,130 @@
+import React from "react";
+import { formatDistanceToNow, isPast } from "date-fns";
+
+import { cn } from "@/lib/utils";
+
+import { Link2Icon, Link2OffIcon, MoreVertical } from "lucide-react";
+import { Card, CardContent } from "@/components/__legacy__/ui/card";
+import { Button } from "@/components/__legacy__/ui/button";
+import {
+  DropdownMenu,
+  DropdownMenuContent,
+  DropdownMenuItem,
+  DropdownMenuTrigger,
+} from "@/components/__legacy__/ui/dropdown-menu";
+
+import { AgentStatus, AgentStatusChip } from "./agent-status-chip";
+import { AgentRunStatus, AgentRunStatusChip } from "./agent-run-status-chip";
+import { PushPinSimpleIcon } from "@phosphor-icons/react";
+
+export type AgentRunSummaryProps = (
+  | {
+      type: "run";
+      status: AgentRunStatus;
+    }
+  | {
+      type: "preset";
+      status?: undefined;
+    }
+  | {
+      type: "preset.triggered";
+      status: AgentStatus;
+    }
+  | {
+      type: "schedule";
+      status: "scheduled";
+    }
+) & {
+  title: string;
+  timestamp?: number | Date;
+  selected?: boolean;
+  onClick?: () => void;
+  // onRename: () => void;
+  onDelete: () => void;
+  onPinAsPreset?: () => void;
+  className?: string;
+};
+
+export function AgentRunSummaryCard({
+  type,
+  status,
+  title,
+  timestamp,
+  selected = false,
+  onClick,
+  // onRename,
+  onDelete,
+  onPinAsPreset,
+  className,
+}: AgentRunSummaryProps): React.ReactElement {
+  return (
+    <Card
+      className={cn(
+        "agpt-rounded-card cursor-pointer border-zinc-300",
+        selected ? "agpt-card-selected" : "",
+        className,
+      )}
+      onClick={onClick}
+    >
+      <CardContent className="relative p-2.5 lg:p-4">
+        {(type == "run" || type == "schedule") && (
+          <AgentRunStatusChip status={status} />
+        )}
+        {type == "preset" && (
+          <div className="flex items-center text-sm font-medium text-neutral-700">
+            <PushPinSimpleIcon className="mr-1 size-4 text-foreground" /> Preset
+          </div>
+        )}
+        {type == "preset.triggered" && (
+          <div className="flex items-center justify-between">
+            <AgentStatusChip status={status} />
+
+            <div className="flex items-center text-sm font-medium text-neutral-700">
+              {status == "inactive" ? (
+                <Link2OffIcon className="mr-1 size-4 text-foreground" />
+              ) : (
+                <Link2Icon className="mr-1 size-4 text-foreground" />
+              )}{" "}
+              Trigger
+            </div>
+          </div>
+        )}
+
+        <div className="mt-5 flex items-center justify-between">
+          <h3 className="truncate pr-2 text-base font-medium text-neutral-900">
+            {title}
+          </h3>
+
+          <DropdownMenu>
+            <DropdownMenuTrigger asChild>
+              <Button variant="ghost" className="h-5 w-5 p-0">
+                <MoreVertical className="h-5 w-5" />
+              </Button>
+            </DropdownMenuTrigger>
+            <DropdownMenuContent>
+              {onPinAsPreset && (
+                <DropdownMenuItem onClick={onPinAsPreset}>
+                  Pin as a preset
+                </DropdownMenuItem>
+              )}
+
+              {/* <DropdownMenuItem onClick={onRename}>Rename</DropdownMenuItem> */}
+
+              <DropdownMenuItem onClick={onDelete}>Delete</DropdownMenuItem>
+            </DropdownMenuContent>
+          </DropdownMenu>
+        </div>
+
+        {timestamp && (
+          <p
+            className="mt-1 text-sm font-normal text-neutral-500"
+            title={new Date(timestamp).toString()}
+          >
+            {isPast(timestamp) ? "Ran" : "Runs in"}{" "}
+            {formatDistanceToNow(timestamp, { addSuffix: true })}
+          </p>
+        )}
+      </CardContent>
+    </Card>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-runs-selector-list.tsx

@@ -0,0 +1,237 @@
+"use client";
+import { Plus } from "lucide-react";
+import React, { useEffect, useState } from "react";
+
+import {
+  GraphExecutionID,
+  GraphExecutionMeta,
+  LibraryAgent,
+  LibraryAgentPreset,
+  LibraryAgentPresetID,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { cn } from "@/lib/utils";
+
+import { Badge } from "@/components/__legacy__/ui/badge";
+import { Button } from "@/components/atoms/Button/Button";
+import LoadingBox, { LoadingSpinner } from "@/components/__legacy__/ui/loading";
+import { Separator } from "@/components/__legacy__/ui/separator";
+import { ScrollArea } from "@/components/__legacy__/ui/scroll-area";
+import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
+import { AgentRunsQuery } from "../use-agent-runs";
+import { agentRunStatusMap } from "./agent-run-status-chip";
+import { AgentRunSummaryCard } from "./agent-run-summary-card";
+
+interface AgentRunsSelectorListProps {
+  agent: LibraryAgent;
+  agentRunsQuery: AgentRunsQuery;
+  agentPresets: LibraryAgentPreset[];
+  schedules: Schedule[];
+  selectedView: { type: "run" | "preset" | "schedule"; id?: string };
+  allowDraftNewRun?: boolean;
+  onSelectRun: (id: GraphExecutionID) => void;
+  onSelectPreset: (preset: LibraryAgentPresetID) => void;
+  onSelectSchedule: (id: ScheduleID) => void;
+  onSelectDraftNewRun: () => void;
+  doDeleteRun: (id: GraphExecutionMeta) => void;
+  doDeletePreset: (id: LibraryAgentPresetID) => void;
+  doDeleteSchedule: (id: ScheduleID) => void;
+  doCreatePresetFromRun?: (id: GraphExecutionID) => void;
+  className?: string;
+}
+
+export function AgentRunsSelectorList({
+  agent,
+  agentRunsQuery: {
+    agentRuns,
+    agentRunCount,
+    agentRunsLoading,
+    hasMoreRuns,
+    fetchMoreRuns,
+    isFetchingMoreRuns,
+  },
+  agentPresets,
+  schedules,
+  selectedView,
+  allowDraftNewRun = true,
+  onSelectRun,
+  onSelectPreset,
+  onSelectSchedule,
+  onSelectDraftNewRun,
+  doDeleteRun,
+  doDeletePreset,
+  doDeleteSchedule,
+  doCreatePresetFromRun,
+  className,
+}: AgentRunsSelectorListProps): React.ReactElement {
+  const [activeListTab, setActiveListTab] = useState<"runs" | "scheduled">(
+    "runs",
+  );
+
+  useEffect(() => {
+    if (selectedView.type === "schedule") {
+      setActiveListTab("scheduled");
+    } else {
+      setActiveListTab("runs");
+    }
+  }, [selectedView]);
+
+  const listItemClasses = "h-28 w-72 lg:w-full lg:h-32";
+
+  return (
+    <aside className={cn("flex flex-col gap-4", className)}>
+      {allowDraftNewRun ? (
+        <Button
+          className={"mb-4 hidden lg:flex"}
+          onClick={onSelectDraftNewRun}
+          leftIcon={<Plus className="h-6 w-6" />}
+        >
+          New {agent.has_external_trigger ? "trigger" : "run"}
+        </Button>
+      ) : null}
+
+      <div className="flex gap-2">
+        <Badge
+          variant={activeListTab === "runs" ? "secondary" : "outline"}
+          className="cursor-pointer gap-2 rounded-full text-base"
+          onClick={() => setActiveListTab("runs")}
+        >
+          <span>Runs</span>
+          <span className="text-neutral-600">
+            {agentRunCount ?? <LoadingSpinner className="size-4" />}
+          </span>
+        </Badge>
+
+        <Badge
+          variant={activeListTab === "scheduled" ? "secondary" : "outline"}
+          className="cursor-pointer gap-2 rounded-full text-base"
+          onClick={() => setActiveListTab("scheduled")}
+        >
+          <span>Scheduled</span>
+          <span className="text-neutral-600">{schedules.length}</span>
+        </Badge>
+      </div>
+
+      {/* Runs / Schedules list */}
+      {agentRunsLoading && activeListTab === "runs" ? (
+        <LoadingBox className="h-28 w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80" />
+      ) : (
+        <ScrollArea
+          className="w-full lg:h-[calc(100vh-300px)] lg:w-72 xl:w-80"
+          orientation={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
+        >
+          <InfiniteScroll
+            direction={window.innerWidth >= 1024 ? "vertical" : "horizontal"}
+            hasNextPage={hasMoreRuns}
+            fetchNextPage={fetchMoreRuns}
+            isFetchingNextPage={isFetchingMoreRuns}
+          >
+            <div className="flex items-center gap-2 lg:flex-col">
+              {/* New Run button - only in small layouts */}
+              {allowDraftNewRun && (
+                <Button
+                  size="large"
+                  className={
+                    "flex h-12 w-40 items-center gap-2 py-6 lg:hidden " +
+                    (selectedView.type == "run" && !selectedView.id
+                      ? "agpt-card-selected text-accent"
+                      : "")
+                  }
+                  onClick={onSelectDraftNewRun}
+                  leftIcon={<Plus className="h-6 w-6" />}
+                >
+                  New {agent.has_external_trigger ? "trigger" : "run"}
+                </Button>
+              )}
+
+              {activeListTab === "runs" ? (
+                <>
+                  {agentPresets
+                    .filter((preset) => preset.webhook) // Triggers
+                    .toSorted(
+                      (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
+                    )
+                    .map((preset) => (
+                      <AgentRunSummaryCard
+                        className={cn(listItemClasses, "lg:h-auto")}
+                        key={preset.id}
+                        type="preset.triggered"
+                        status={preset.is_active ? "active" : "inactive"}
+                        title={preset.name}
+                        // timestamp={preset.last_run_time} // TODO: implement this
+                        selected={selectedView.id === preset.id}
+                        onClick={() => onSelectPreset(preset.id)}
+                        onDelete={() => doDeletePreset(preset.id)}
+                      />
+                    ))}
+                  {agentPresets
+                    .filter((preset) => !preset.webhook) // Presets
+                    .toSorted(
+                      (a, b) => b.updated_at.getTime() - a.updated_at.getTime(),
+                    )
+                    .map((preset) => (
+                      <AgentRunSummaryCard
+                        className={cn(listItemClasses, "lg:h-auto")}
+                        key={preset.id}
+                        type="preset"
+                        title={preset.name}
+                        // timestamp={preset.last_run_time} // TODO: implement this
+                        selected={selectedView.id === preset.id}
+                        onClick={() => onSelectPreset(preset.id)}
+                        onDelete={() => doDeletePreset(preset.id)}
+                      />
+                    ))}
+                  {agentPresets.length > 0 && <Separator className="my-1" />}
+                  {agentRuns
+                    .toSorted((a, b) => {
+                      const aTime = a.started_at?.getTime() ?? 0;
+                      const bTime = b.started_at?.getTime() ?? 0;
+                      return bTime - aTime;
+                    })
+                    .map((run) => (
+                      <AgentRunSummaryCard
+                        className={listItemClasses}
+                        key={run.id}
+                        type="run"
+                        status={agentRunStatusMap[run.status]}
+                        title={
+                          (run.preset_id
+                            ? agentPresets.find((p) => p.id == run.preset_id)
+                                ?.name
+                            : null) ?? agent.name
+                        }
+                        timestamp={run.started_at ?? undefined}
+                        selected={selectedView.id === run.id}
+                        onClick={() => onSelectRun(run.id)}
+                        onDelete={() => doDeleteRun(run as GraphExecutionMeta)}
+                        onPinAsPreset={
+                          doCreatePresetFromRun
+                            ? () => doCreatePresetFromRun(run.id)
+                            : undefined
+                        }
+                      />
+                    ))}
+                </>
+              ) : (
+                schedules.map((schedule) => (
+                  <AgentRunSummaryCard
+                    className={listItemClasses}
+                    key={schedule.id}
+                    type="schedule"
+                    status="scheduled" // TODO: implement active/inactive status for schedules
+                    title={schedule.name}
+                    timestamp={schedule.next_run_time}
+                    selected={selectedView.id === schedule.id}
+                    onClick={() => onSelectSchedule(schedule.id)}
+                    onDelete={() => doDeleteSchedule(schedule.id)}
+                  />
+                ))
+              )}
+            </div>
+          </InfiniteScroll>
+        </ScrollArea>
+      )}
+    </aside>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/agent-schedule-details-view.tsx

@@ -0,0 +1,180 @@
+"use client";
+import React, { useCallback, useMemo } from "react";
+
+import {
+  Graph,
+  GraphExecutionID,
+  Schedule,
+  ScheduleID,
+} from "@/lib/autogpt-server-api";
+import { useBackendAPI } from "@/lib/autogpt-server-api/context";
+
+import ActionButtonGroup from "@/components/__legacy__/action-button-group";
+import type { ButtonAction } from "@/components/__legacy__/types";
+import {
+  Card,
+  CardContent,
+  CardHeader,
+  CardTitle,
+} from "@/components/__legacy__/ui/card";
+import { IconCross } from "@/components/__legacy__/ui/icons";
+import { Input } from "@/components/__legacy__/ui/input";
+import LoadingBox from "@/components/__legacy__/ui/loading";
+import { useToastOnFail } from "@/components/molecules/Toast/use-toast";
+import { humanizeCronExpression } from "@/lib/cron-expression-utils";
+import { formatScheduleTime } from "@/lib/timezone-utils";
+import { useUserTimezone } from "@/lib/hooks/useUserTimezone";
+import { PlayIcon } from "lucide-react";
+
+import { AgentRunStatus } from "./agent-run-status-chip";
+
+export function AgentScheduleDetailsView({
+  graph,
+  schedule,
+  agentActions,
+  onForcedRun,
+  doDeleteSchedule,
+}: {
+  graph: Graph;
+  schedule: Schedule;
+  agentActions: ButtonAction[];
+  onForcedRun: (runID: GraphExecutionID) => void;
+  doDeleteSchedule: (scheduleID: ScheduleID) => void;
+}): React.ReactNode {
+  const api = useBackendAPI();
+
+  const selectedRunStatus: AgentRunStatus = "scheduled";
+
+  const toastOnFail = useToastOnFail();
+
+  // Get user's timezone for displaying schedule times
+  const userTimezone = useUserTimezone();
+
+  const infoStats: { label: string; value: React.ReactNode }[] = useMemo(() => {
+    return [
+      {
+        label: "Status",
+        value:
+          selectedRunStatus.charAt(0).toUpperCase() +
+          selectedRunStatus.slice(1),
+      },
+      {
+        label: "Schedule",
+        value: humanizeCronExpression(schedule.cron),
+      },
+      {
+        label: "Next run",
+        value: formatScheduleTime(schedule.next_run_time, userTimezone),
+      },
+    ];
+  }, [schedule, selectedRunStatus, userTimezone]);
+
+  const agentRunInputs: Record<
+    string,
+    { title?: string; /* type: BlockIOSubType; */ value: any }
+  > = useMemo(() => {
+    // TODO: show (link to) preset - https://github.com/Significant-Gravitas/AutoGPT/issues/9168
+
+    // Add type info from agent input schema
+    return Object.fromEntries(
+      Object.entries(schedule.input_data).map(([k, v]) => [
+        k,
+        {
+          title: graph.input_schema.properties[k].title,
+          /* TODO: type: agent.input_schema.properties[k].type */
+          value: v,
+        },
+      ]),
+    );
+  }, [graph, schedule]);
+
+  const runNow = useCallback(
+    () =>
+      api
+        .executeGraph(
+          graph.id,
+          graph.version,
+          schedule.input_data,
+          schedule.input_credentials,
+          "library",
+        )
+        .then((run) => onForcedRun(run.id))
+        .catch(toastOnFail("execute agent")),
+    [api, graph, schedule, onForcedRun, toastOnFail],
+  );
+
+  const runActions: ButtonAction[] = useMemo(
+    () => [
+      {
+        label: (
+          <>
+            <PlayIcon className="mr-2 size-4" />
+            Run now
+          </>
+        ),
+        callback: runNow,
+      },
+      {
+        label: (
+          <>
+            <IconCross className="mr-2 size-4 px-0.5" />
+            Delete schedule
+          </>
+        ),
+        callback: () => doDeleteSchedule(schedule.id),
+        variant: "destructive",
+      },
+    ],
+    [runNow],
+  );
+
+  return (
+    <div className="agpt-div flex gap-6">
+      <div className="flex flex-1 flex-col gap-4">
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Info</CardTitle>
+          </CardHeader>
+
+          <CardContent>
+            <div className="flex justify-stretch gap-4">
+              {infoStats.map(({ label, value }) => (
+                <div key={label} className="flex-1">
+                  <p className="text-sm font-medium text-black">{label}</p>
+                  <p className="text-sm text-neutral-600">{value}</p>
+                </div>
+              ))}
+            </div>
+          </CardContent>
+        </Card>
+
+        <Card className="agpt-box">
+          <CardHeader>
+            <CardTitle className="font-poppins text-lg">Input</CardTitle>
+          </CardHeader>
+          <CardContent className="flex flex-col gap-4">
+            {agentRunInputs !== undefined ? (
+              Object.entries(agentRunInputs).map(([key, { title, value }]) => (
+                <div key={key} className="flex flex-col gap-1.5">
+                  <label className="text-sm font-medium">{title || key}</label>
+                  <Input value={value} className="rounded-full" disabled />
+                </div>
+              ))
+            ) : (
+              <LoadingBox spinnerSize={12} className="h-24" />
+            )}
+          </CardContent>
+        </Card>
+      </div>
+
+      {/* Run / Agent Actions */}
+      <aside className="w-48 xl:w-56">
+        <div className="flex flex-col gap-8">
+          <ActionButtonGroup title="Run actions" actions={runActions} />
+
+          <ActionButtonGroup title="Agent actions" actions={agentActions} />
+        </div>
+      </aside>
+    </div>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/create-preset-dialog.tsx

@@ -0,0 +1,100 @@
+"use client";
+
+import React, { useState } from "react";
+import { Button } from "@/components/__legacy__/ui/button";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/__legacy__/ui/dialog";
+import { Input } from "@/components/__legacy__/ui/input";
+import { Textarea } from "@/components/__legacy__/ui/textarea";
+
+interface CreatePresetDialogProps {
+  open: boolean;
+  onOpenChange: (open: boolean) => void;
+  onConfirm: (name: string, description: string) => Promise<void> | void;
+}
+
+export function CreatePresetDialog({
+  open,
+  onOpenChange,
+  onConfirm,
+}: CreatePresetDialogProps) {
+  const [name, setName] = useState("");
+  const [description, setDescription] = useState("");
+
+  const handleSubmit = async () => {
+    if (name.trim()) {
+      await onConfirm(name.trim(), description.trim());
+      setName("");
+      setDescription("");
+      onOpenChange(false);
+    }
+  };
+
+  const handleCancel = () => {
+    setName("");
+    setDescription("");
+    onOpenChange(false);
+  };
+
+  const handleKeyDown = (e: React.KeyboardEvent) => {
+    if (e.key === "Enter" && (e.metaKey || e.ctrlKey)) {
+      e.preventDefault();
+      handleSubmit();
+    }
+  };
+
+  return (
+    <Dialog open={open} onOpenChange={onOpenChange}>
+      <DialogContent className="sm:max-w-[425px]">
+        <DialogHeader>
+          <DialogTitle>Create Preset</DialogTitle>
+          <DialogDescription>
+            Give your preset a name and description to help identify it later.
+          </DialogDescription>
+        </DialogHeader>
+        <div className="grid gap-4 py-4">
+          <div className="grid gap-2">
+            <label htmlFor="preset-name" className="text-sm font-medium">
+              Name *
+            </label>
+            <Input
+              id="preset-name"
+              placeholder="Enter preset name"
+              value={name}
+              onChange={(e) => setName(e.target.value)}
+              onKeyDown={handleKeyDown}
+              autoFocus
+            />
+          </div>
+          <div className="grid gap-2">
+            <label htmlFor="preset-description" className="text-sm font-medium">
+              Description
+            </label>
+            <Textarea
+              id="preset-description"
+              placeholder="Optional description"
+              value={description}
+              onChange={(e) => setDescription(e.target.value)}
+              onKeyDown={handleKeyDown}
+              rows={3}
+            />
+          </div>
+        </div>
+        <DialogFooter>
+          <Button variant="outline" onClick={handleCancel}>
+            Cancel
+          </Button>
+          <Button onClick={handleSubmit} disabled={!name.trim()}>
+            Create Preset
+          </Button>
+        </DialogFooter>
+      </DialogContent>
+    </Dialog>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog.tsx

@@ -2,7 +2,7 @@ import { useEffect, useState } from "react";
 import { Input } from "@/components/__legacy__/ui/input";
 import { Button } from "@/components/__legacy__/ui/button";
 import { useToast } from "@/components/molecules/Toast/use-toast";
-import { CronScheduler } from "@/components/contextual/CronScheduler/cron-scheduler";
+import { CronScheduler } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { getTimezoneDisplayName } from "@/lib/timezone-utils";
 import { useUserTimezone } from "@/lib/hooks/useUserTimezone";

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/use-agent-runs.ts

@@ -0,0 +1,210 @@
+import {
+  GraphExecutionMeta as LegacyGraphExecutionMeta,
+  GraphID,
+  GraphExecutionID,
+} from "@/lib/autogpt-server-api";
+import { getQueryClient } from "@/lib/react-query/queryClient";
+import {
+  getPaginatedTotalCount,
+  getPaginationNextPageNumber,
+  unpaginate,
+} from "@/app/api/helpers";
+import {
+  getV1ListGraphExecutionsResponse,
+  getV1ListGraphExecutionsResponse200,
+  useGetV1ListGraphExecutionsInfinite,
+} from "@/app/api/__generated__/endpoints/graphs/graphs";
+import { GraphExecutionsPaginated } from "@/app/api/__generated__/models/graphExecutionsPaginated";
+import { GraphExecutionMeta as RawGraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
+
+export type GraphExecutionMeta = Omit<
+  RawGraphExecutionMeta,
+  "id" | "user_id" | "graph_id" | "preset_id" | "stats"
+> &
+  Pick<
+    LegacyGraphExecutionMeta,
+    "id" | "user_id" | "graph_id" | "preset_id" | "stats"
+  >;
+
+/** Hook to fetch runs for a specific graph, with support for infinite scroll.
+ *
+ * @param graphID - The ID of the graph to fetch agent runs for. This parameter is
+ *                  optional in the sense that the hook doesn't run unless it is passed.
+ *                  This way, it can be used in components where the graph ID is not
+ *                  immediately available.
+ */
+export const useAgentRunsInfinite = (graphID?: GraphID) => {
+  const queryClient = getQueryClient();
+  const {
+    data: queryResults,
+    refetch: refetchRuns,
+    isPending: agentRunsLoading,
+    isRefetching: agentRunsReloading,
+    hasNextPage: hasMoreRuns,
+    fetchNextPage: fetchMoreRuns,
+    isFetchingNextPage: isFetchingMoreRuns,
+    queryKey,
+  } = useGetV1ListGraphExecutionsInfinite(
+    graphID!,
+    { page: 1, page_size: 20 },
+    {
+      query: {
+        getNextPageParam: getPaginationNextPageNumber,
+
+        // Prevent query from running if graphID is not available (yet)
+        ...(!graphID
+          ? {
+              enabled: false,
+              queryFn: () =>
+                // Fake empty response if graphID is not available (yet)
+                Promise.resolve({
+                  status: 200,
+                  data: {
+                    executions: [],
+                    pagination: {
+                      current_page: 1,
+                      page_size: 20,
+                      total_items: 0,
+                      total_pages: 0,
+                    },
+                  },
+                  headers: new Headers(),
+                } satisfies getV1ListGraphExecutionsResponse),
+            }
+          : {}),
+      },
+    },
+    queryClient,
+  );
+
+  const agentRuns = queryResults ? unpaginate(queryResults, "executions") : [];
+  const agentRunCount = getPaginatedTotalCount(queryResults);
+
+  const upsertAgentRun = (newAgentRun: GraphExecutionMeta) => {
+    queryClient.setQueryData(
+      queryKey,
+      (currentQueryData: typeof queryResults) => {
+        if (!currentQueryData?.pages || agentRunCount === undefined)
+          return currentQueryData;
+
+        const exists = currentQueryData.pages.some((page) => {
+          if (page.status !== 200) return false;
+
+          const response = page.data;
+          return response.executions.some((run) => run.id === newAgentRun.id);
+        });
+        if (exists) {
+          // If the run already exists, we update it
+          return {
+            ...currentQueryData,
+            pages: currentQueryData.pages.map((page) => {
+              if (page.status !== 200) return page;
+              const response = page.data;
+              const executions = response.executions;
+
+              const index = executions.findIndex(
+                (run) => run.id === newAgentRun.id,
+              );
+              if (index === -1) return page;
+
+              const newExecutions = [...executions];
+              newExecutions[index] = newAgentRun;
+
+              return {
+                ...page,
+                data: {
+                  ...response,
+                  executions: newExecutions,
+                },
+              } satisfies getV1ListGraphExecutionsResponse;
+            }),
+          };
+        }
+
+        // If the run does not exist, we add it to the first page
+        const page = currentQueryData
+          .pages[0] as getV1ListGraphExecutionsResponse200 & {
+          headers: Headers;
+        };
+        const updatedExecutions = [newAgentRun, ...page.data.executions];
+        const updatedPage = {
+          ...page,
+          data: {
+            ...page.data,
+            executions: updatedExecutions,
+          },
+        } satisfies getV1ListGraphExecutionsResponse;
+        const updatedPages = [updatedPage, ...currentQueryData.pages.slice(1)];
+        return {
+          ...currentQueryData,
+          pages: updatedPages.map(
+            // Increment the total runs count in the pagination info of all pages
+            (page) =>
+              page.status === 200
+                ? {
+                    ...page,
+                    data: {
+                      ...page.data,
+                      pagination: {
+                        ...page.data.pagination,
+                        total_items: agentRunCount + 1,
+                      },
+                    },
+                  }
+                : page,
+          ),
+        };
+      },
+    );
+  };
+
+  const removeAgentRun = (runID: GraphExecutionID) => {
+    queryClient.setQueryData(
+      [queryKey, { page: 1, page_size: 20 }],
+      (currentQueryData: typeof queryResults) => {
+        if (!currentQueryData?.pages) return currentQueryData;
+
+        let found = false;
+        return {
+          ...currentQueryData,
+          pages: currentQueryData.pages.map((page) => {
+            const response = page.data as GraphExecutionsPaginated;
+            const filteredExecutions = response.executions.filter(
+              (run) => run.id !== runID,
+            );
+            if (filteredExecutions.length < response.executions.length) {
+              found = true;
+            }
+
+            return {
+              ...page,
+              data: {
+                ...response,
+                executions: filteredExecutions,
+                pagination: {
+                  ...response.pagination,
+                  total_items:
+                    response.pagination.total_items - (found ? 1 : 0),
+                },
+              },
+            };
+          }),
+        };
+      },
+    );
+  };
+
+  return {
+    agentRuns: agentRuns as GraphExecutionMeta[],
+    refetchRuns,
+    agentRunCount,
+    agentRunsLoading: agentRunsLoading || agentRunsReloading,
+    hasMoreRuns,
+    fetchMoreRuns,
+    isFetchingMoreRuns,
+    upsertAgentRun,
+    removeAgentRun,
+  };
+};
+
+export type AgentRunsQuery = ReturnType<typeof useAgentRunsInfinite>;

autogpt_platform/frontend/src/app/(platform)/library/legacy/[id]/page.tsx

@@ -0,0 +1,7 @@
+"use client";
+
+import { OldAgentLibraryView } from "../../agents/[id]/components/OldAgentLibraryView/OldAgentLibraryView";
+
+export default function OldAgentLibraryPage() {
+  return <OldAgentLibraryView />;
+}

autogpt_platform/frontend/src/app/api/openapi.json

@@ -1053,7 +1053,6 @@
                       "$ref": "#/components/schemas/ClarificationNeededResponse"
                     },
                     { "$ref": "#/components/schemas/BlockListResponse" },
-                    { "$ref": "#/components/schemas/BlockDetailsResponse" },
                     { "$ref": "#/components/schemas/BlockOutputResponse" },
                     { "$ref": "#/components/schemas/DocSearchResultsResponse" },
                     { "$ref": "#/components/schemas/DocPageResponse" },
@@ -6959,58 +6958,6 @@
         "enum": ["run", "byte", "second"],
         "title": "BlockCostType"
       },
-      "BlockDetails": {
-        "properties": {
-          "id": { "type": "string", "title": "Id" },
-          "name": { "type": "string", "title": "Name" },
-          "description": { "type": "string", "title": "Description" },
-          "inputs": {
-            "additionalProperties": true,
-            "type": "object",
-            "title": "Inputs",
-            "default": {}
-          },
-          "outputs": {
-            "additionalProperties": true,
-            "type": "object",
-            "title": "Outputs",
-            "default": {}
-          },
-          "credentials": {
-            "items": { "$ref": "#/components/schemas/CredentialsMetaInput" },
-            "type": "array",
-            "title": "Credentials",
-            "default": []
-          }
-        },
-        "type": "object",
-        "required": ["id", "name", "description"],
-        "title": "BlockDetails",
-        "description": "Detailed block information."
-      },
-      "BlockDetailsResponse": {
-        "properties": {
-          "type": {
-            "$ref": "#/components/schemas/ResponseType",
-            "default": "block_details"
-          },
-          "message": { "type": "string", "title": "Message" },
-          "session_id": {
-            "anyOf": [{ "type": "string" }, { "type": "null" }],
-            "title": "Session Id"
-          },
-          "block": { "$ref": "#/components/schemas/BlockDetails" },
-          "user_authenticated": {
-            "type": "boolean",
-            "title": "User Authenticated",
-            "default": false
-          }
-        },
-        "type": "object",
-        "required": ["message", "block"],
-        "title": "BlockDetailsResponse",
-        "description": "Response for block details (first run_block attempt)."
-      },
       "BlockInfo": {
         "properties": {
           "id": { "type": "string", "title": "Id" },
@@ -7066,13 +7013,62 @@
         "properties": {
           "id": { "type": "string", "title": "Id" },
           "name": { "type": "string", "title": "Name" },
-          "description": { "type": "string", "title": "Description" }
+          "description": { "type": "string", "title": "Description" },
+          "categories": {
+            "items": { "type": "string" },
+            "type": "array",
+            "title": "Categories"
+          },
+          "input_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Input Schema"
+          },
+          "output_schema": {
+            "additionalProperties": true,
+            "type": "object",
+            "title": "Output Schema"
+          },
+          "required_inputs": {
+            "items": { "$ref": "#/components/schemas/BlockInputFieldInfo" },
+            "type": "array",
+            "title": "Required Inputs",
+            "description": "List of required input fields for this block"
+          }
         },
         "type": "object",
-        "required": ["id", "name", "description"],
+        "required": [
+          "id",
+          "name",
+          "description",
+          "categories",
+          "input_schema",
+          "output_schema"
+        ],
         "title": "BlockInfoSummary",
         "description": "Summary of a block for search results."
       },
+      "BlockInputFieldInfo": {
+        "properties": {
+          "name": { "type": "string", "title": "Name" },
+          "type": { "type": "string", "title": "Type" },
+          "description": {
+            "type": "string",
+            "title": "Description",
+            "default": ""
+          },
+          "required": {
+            "type": "boolean",
+            "title": "Required",
+            "default": false
+          },
+          "default": { "anyOf": [{}, { "type": "null" }], "title": "Default" }
+        },
+        "type": "object",
+        "required": ["name", "type"],
+        "title": "BlockInputFieldInfo",
+        "description": "Information about a block input field."
+      },
       "BlockListResponse": {
         "properties": {
           "type": {
@@ -7090,7 +7086,12 @@
             "title": "Blocks"
           },
           "count": { "type": "integer", "title": "Count" },
-          "query": { "type": "string", "title": "Query" }
+          "query": { "type": "string", "title": "Query" },
+          "usage_hint": {
+            "type": "string",
+            "title": "Usage Hint",
+            "default": "To execute a block, call run_block with block_id set to the block's 'id' field and input_data containing the required fields from input_schema."
+          }
         },
         "type": "object",
         "required": ["message", "blocks", "count", "query"],
@@ -10483,7 +10484,6 @@
           "agent_saved",
           "clarification_needed",
           "block_list",
-          "block_details",
           "block_output",
           "doc_search_results",
           "doc_page",

autogpt_platform/frontend/src/components/contextual/PublishAgentModal/components/AgentInfoStep/AgentInfoStep.tsx

@@ -1,6 +1,6 @@
 "use client";
 
-import { CronExpressionDialog } from "@/components/contextual/CronScheduler/cron-scheduler-dialog";
+import { CronExpressionDialog } from "@/app/(platform)/library/agents/[id]/components/OldAgentLibraryView/components/cron-scheduler-dialog";
 import { Form, FormField } from "@/components/__legacy__/ui/form";
 import { Button } from "@/components/atoms/Button/Button";
 import { Input } from "@/components/atoms/Input/Input";

autogpt_platform/frontend/src/services/feature-flags/use-get-flag.ts

@@ -7,6 +7,7 @@ import { useFlags } from "launchdarkly-react-client-sdk";
 export enum Flag {
   BETA_BLOCKS = "beta-blocks",
   NEW_BLOCK_MENU = "new-block-menu",
+  NEW_AGENT_RUNS = "new-agent-runs",
   GRAPH_SEARCH = "graph-search",
   ENABLE_ENHANCED_OUTPUT_HANDLING = "enable-enhanced-output-handling",
   SHARE_EXECUTION_RESULTS = "share-execution-results",
@@ -21,6 +22,7 @@ const isPwMockEnabled = process.env.NEXT_PUBLIC_PW_TEST === "true";
 const defaultFlags = {
   [Flag.BETA_BLOCKS]: [],
   [Flag.NEW_BLOCK_MENU]: false,
+  [Flag.NEW_AGENT_RUNS]: false,
   [Flag.GRAPH_SEARCH]: false,
   [Flag.ENABLE_ENHANCED_OUTPUT_HANDLING]: false,
   [Flag.SHARE_EXECUTION_RESULTS]: false,