feat: add AI orchestration frameworks (Langflow, CrewAI, AutoGen)#53
feat: add AI orchestration frameworks (Langflow, CrewAI, AutoGen)#53marcusquinn merged 2 commits intomainfrom
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WalkthroughIntroduces comprehensive AI orchestration framework support (Langflow, CrewAI, AutoGen) through helper scripts, documentation, configuration templates, and main setup integration, enabling multi-agent framework orchestration within the aidevops ecosystem. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant SetupScript as setup.sh
participant HelperScript as Helper Script<br/>(autogen/crewai/langflow)
participant VirtualEnv as Virtual Env
participant FrameworkCLI as Framework CLI
participant FileSystem as File System
User->>SetupScript: Run setup.sh
SetupScript->>SetupScript: Check setup_ai_orchestration
SetupScript->>HelperScript: Call helper setup action
HelperScript->>HelperScript: Check prerequisites<br/>(Python 3.10+, pip, uv)
HelperScript->>FileSystem: Create directories<br/>($HOME/.aidevops/*)
HelperScript->>VirtualEnv: Create Python venv
HelperScript->>VirtualEnv: Install framework packages
HelperScript->>FileSystem: Generate .env template
HelperScript->>FileSystem: Create config files<br/>(example scripts, studio_app.py)
HelperScript->>FileSystem: Create management scripts<br/>(start/stop/status)
HelperScript->>User: Return success & guidance
sequenceDiagram
participant User
participant ManagementScript as Management Script<br/>(start/stop/status)
participant VirtualEnv as Virtual Env
participant FrameworkService as Framework Service<br/>(Studio/CLI)
participant StatusCheck as Health Check
User->>ManagementScript: Execute action<br/>(start/stop/status)
ManagementScript->>VirtualEnv: Activate venv
ManagementScript->>ManagementScript: Load .env
alt Action: Start
ManagementScript->>FrameworkService: Launch service<br/>(port, config)
FrameworkService->>User: Accessible on localhost
else Action: Stop
ManagementScript->>FrameworkService: Terminate process
ManagementScript->>ManagementScript: Fallback: pkill
else Action: Status
ManagementScript->>StatusCheck: Check process/port
StatusCheck->>FrameworkService: Query health endpoint
StatusCheck->>User: Report status & info
end
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly related PRs
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Summary of ChangesHello @marcusquinn, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the project's AI capabilities by incorporating three prominent AI orchestration frameworks: Langflow, CrewAI, and AutoGen. This integration provides a versatile toolkit for developing and managing AI agents and complex workflows, ranging from visual programming to multi-agent collaboration. The changes adhere to a consistent, open-source design philosophy, ensuring ease of setup, configuration, and future extensibility. Highlights
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Code Review
This pull request introduces comprehensive integration for three popular AI orchestration frameworks: Langflow, CrewAI, and AutoGen. The changes are well-structured, providing helper scripts, documentation, and configuration templates for each framework, following common design patterns. The documentation is particularly thorough, with overviews, comparisons, and deployment guides.
My review focuses on improving the robustness and user experience of the new helper scripts. I've identified a few areas for improvement:
- In the CrewAI helper, the generated Streamlit UI has some unused elements that could be confusing.
- The Langflow helper script is missing a Python version check and suppresses potentially useful error messages.
Overall, this is an excellent addition that significantly expands the capabilities of the AI DevOps framework. The changes are well-implemented and will be very valuable for users looking to work with these orchestration tools.
| # Model selection | ||
| model = st.sidebar.selectbox( | ||
| "Select Model", | ||
| ["gpt-4o-mini", "gpt-4o", "gpt-4-turbo", "ollama/llama3.2"] | ||
| ) | ||
|
|
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The model selected in this selectbox is not used when creating the crew. The crew will use the default model from its configuration, which could be confusing. To avoid this, I suggest removing this UI element.
| col1, col2 = st.columns(2) | ||
| with col1: | ||
| num_agents = st.slider("Number of Agents", 1, 5, 2) | ||
| with col2: | ||
| process_type = st.selectbox("Process Type", ["sequential", "hierarchical"]) |
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The num_agents slider value is not used. The crew is created with a fixed number of two agents. This UI element is misleading. I suggest removing the slider and the column layout.
| col1, col2 = st.columns(2) | |
| with col1: | |
| num_agents = st.slider("Number of Agents", 1, 5, 2) | |
| with col2: | |
| process_type = st.selectbox("Process Type", ["sequential", "hierarchical"]) | |
| process_type = st.selectbox("Process Type", ["sequential", "hierarchical"]) |
| # Check Python | ||
| if command -v python3 &> /dev/null; then | ||
| local python_version | ||
| python_version=$(python3 --version 2>&1 | cut -d' ' -f2) | ||
| print_success "Python 3 found: $python_version" | ||
| else | ||
| print_error "Python 3 not found" | ||
| missing=1 | ||
| fi |
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This script checks for the presence of python3 but doesn't enforce a minimum version. Langflow requires Python 3.10+, and not checking for this could lead to installation or runtime errors. The other helper scripts in this PR correctly check for Python 3.10+. I recommend adding a version check for consistency and robustness.
| # Check Python | |
| if command -v python3 &> /dev/null; then | |
| local python_version | |
| python_version=$(python3 --version 2>&1 | cut -d' ' -f2) | |
| print_success "Python 3 found: $python_version" | |
| else | |
| print_error "Python 3 not found" | |
| missing=1 | |
| fi | |
| # Check Python | |
| if command -v python3 &> /dev/null; then | |
| local python_version | |
| python_version=$(python3 --version 2>&1 | cut -d' ' -f2) | |
| local major minor | |
| major=$(echo "$python_version" | cut -d. -f1) | |
| minor=$(echo "$python_version" | cut -d. -f2) | |
| if [[ $major -ge 3 ]] && [[ $minor -ge 10 ]]; then | |
| print_success "Python $python_version found (3.10+ required)" | |
| else | |
| print_error "Python 3.10+ required, found $python_version" | |
| missing=1 | |
| fi | |
| else | |
| print_error "Python 3 not found" | |
| missing=1 | |
| fi |
| mkdir -p "$output_dir" | ||
|
|
||
| # Export all flows | ||
| if langflow export --all --output "$output_dir" 2>/dev/null; then |
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Suppressing stderr with 2>/dev/null can hide important error messages from the langflow export command, making it difficult to debug failures. It's better to let the user see the original error.
| if langflow export --all --output "$output_dir" 2>/dev/null; then | |
| if langflow export --all --output "$output_dir"; then |
| local count=0 | ||
| for flow_file in "$input_dir"/*.json; do | ||
| if [[ -f "$flow_file" ]]; then | ||
| if langflow import --file "$flow_file" 2>/dev/null; then |
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Suppressing stderr with 2>/dev/null can hide important error messages from the langflow import command, making it difficult to debug failures. It's better to let the user see the original error.
| if langflow import --file "$flow_file" 2>/dev/null; then | |
| if langflow import --file "$flow_file"; then |
🤖 Augment PR SummarySummary: Adds first-class integration docs and helper tooling for three AI orchestration frameworks (Langflow, CrewAI, AutoGen), following the same local-runtime patterns used for Agno. Changes:
Technical Notes: All three frameworks are designed to run locally in 🤖 Was this summary useful? React with 👍 or 👎 |
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| if [[ -f "$flow_file" ]]; then | ||
| if langflow import --file "$flow_file" 2>/dev/null; then | ||
| print_success "Imported: $(basename "$flow_file")" | ||
| ((count++)) |
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Because this script runs with set -e, ((count++)) will exit with status 1 on the first successful import (when count was 0), which can prematurely abort the import_flows loop.
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.agent/scripts/langflow-helper.sh
Outdated
| # Wait for startup | ||
| sleep 5 | ||
|
|
||
| if curl -s http://localhost:7860/health >/dev/null 2>&1; then |
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This health check (and the generated status output below) hard-codes port 7860, so if LANGFLOW_PORT is set via .env the script can report a false negative / wrong URLs.
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| if command -v python3 &> /dev/null; then | ||
| local python_version | ||
| python_version=$(python3 --version 2>&1 | cut -d' ' -f2) | ||
| print_success "Python 3 found: $python_version" |
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check_prerequisites only checks that python3 exists, but the rest of the repo/docs/configs call out Python 3.10+ for Langflow; this can lead to attempting setup on unsupported versions.
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| print_info "Installing AutoGen..." | ||
| if command -v uv &> /dev/null; then | ||
| uv pip install autogen-agentchat -U | ||
| uv pip install 'autogen-ext[openai]' -U |
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The setup installs autogen-ext[openai], but this PR’s config/docs also reference MCP support (e.g., autogen-ext[mcp] and autogen_ext.tools.mcp), so there’s a mismatch between documented capability and installed dependencies.
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Actionable comments posted: 6
🤖 Fix all issues with AI agents
In @.agent/scripts/autogen-helper.sh:
- Line 107: The cd command in the function uses "cd \"$AUTOGEN_DIR\" || exit 1",
which will terminate the whole script; change the failure handler to return from
the function instead of exiting the process by replacing "exit 1" with "return
1" (i.e., use "cd \"$AUTOGEN_DIR\" || return 1") so the function returns an
error status without killing the entire script; apply the same change wherever
the pattern "|| exit 1" appears inside helper functions.
In @.agent/scripts/crewai-helper.sh:
- Around line 64-71: The version check in crewai-helper.sh incorrectly uses '[[
$major -ge 3 ]] && [[ $minor -ge 10 ]]' which rejects Python 4.x; change the
condition to allow any major > 3 or major == 3 with minor >= 10 (i.e., use a
compound check like major -gt 3 || (major -eq 3 && minor -ge 10)) so the block
around print_success/print_error (using variables python_version, major, minor
and setting missing=1) correctly accepts future major versions while still
enforcing 3.10+ for Python 3.
- Around line 490-491: The command `cd "$project_dir" || exit 1` inside the
function terminates the whole script; replace `exit 1` with `return 1` so the
function returns an error code instead of exiting the process—update the `cd
"$project_dir" || exit 1` line to `cd "$project_dir" || return 1` (preserving
the surrounding function and any existing error handling pattern).
In @.agent/tools/ai-orchestration/autogen.md:
- Line 27: autogen.md and autogen-helper.sh currently reference and create
~/.aidevops/autogen/.env but AGENTS.md is the authoritative source and requires
credentials in ~/.config/aidevops/mcp-env.sh with 600 perms; update
autogen-helper.sh to stop creating/sourcing .env and instead source
~/.config/aidevops/mcp-env.sh (ensure permission checks and fail-fast if
missing), update autogen.md to reference the AGENTS.md standard path and
permissions and replace inline credential examples with placeholders pointing to
that secure file, and amend the Quick Reference text to note that
start/stop/status scripts are generated by the setup step rather than being
pre-existing.
In @.agent/tools/ai-orchestration/overview.md:
- Around line 177-179: The doc snippet shows a mismatched script name pattern;
update the overview to reflect the actual generated scripts by replacing the
generic `start_{tool}.sh` with the real naming convention
`start-{tool}-studio.sh` (e.g., `start-crewai-studio.sh`,
`start-autogen-studio.sh`) and ensure the directory list and any
examples/comments mention the hyphenated `-studio` suffix so the documentation
matches the implemented filenames.
- Around line 73-75: Replace the hard-coded GitHub star counts for projects (the
bulleted items referencing Langflow, CrewAI, AutoGen) with relative,
non-time-sensitive phrases (e.g., "highly popular", "widely adopted",
"well-known") or add a clear "as of <date>" timestamp and a maintenance note;
update the three occurrences mentioned (the bullets at the diff and the similar
lists at the other two locations) to use these relative descriptors or
timestamped counts to avoid stale data.
🧹 Nitpick comments (14)
.agent/tools/ai-orchestration/autogen.md (2)
119-119: Minor typographical refinement.Line 119: "Hello World" should be followed by a comma in this documentation context for grammatical consistency:
- Say 'Hello World!', (with comma)This is a low-priority fix but noted for completeness per static analysis.
1-406: Comprehensive AutoGen documentation with strong structure and examples.The new subagent documentation provides excellent coverage:
- ✅ Quick reference with immediate actionable paths
- ✅ Clear architecture overview
- ✅ Both automated and manual installation paths
- ✅ Multiple usage patterns (Hello World, MCP, multi-agent orchestration)
- ✅ GUI support (AutoGen Studio)
- ✅ Local LLM integration (Ollama, Azure)
- ✅ Cross-platform support (.NET)
- ✅ Git integration best practices
- ✅ Deployment patterns (Docker, FastAPI)
- ✅ Troubleshooting section with migration guidance
- ✅ Proper use of placeholders in all code examples
The documentation follows aidevops patterns and integrates well with the progressive disclosure strategy outlined in AGENTS.md.
Consider expanding the "Integration Examples" section (lines 328-365) with explicit cross-references to sibling frameworks (Langflow, CrewAI) to clarify when to use each framework and how they complement each other. This would help users make informed tool selection decisions.
README.md (1)
442-451: Consider adding documentation links for improved user discoverability.The AI Orchestration Frameworks section is well-structured and integrates cleanly into the existing pattern with appropriate MIT licensing and localhost ports. Supporting documentation exists for each framework (overview, langflow, crewai, autogen, packaging), but direct README links could enhance navigation and discovery for users exploring the orchestration tools without adding unnecessary clutter.
Minor observation: MainWP placement under WordPress Development (line 451) is logically appropriate and intentionally separated from the AI Orchestration section—correct positioning.
.agent/tools/ai-orchestration/packaging.md (3)
161-237: ✓ Solid Kubernetes manifest with security-conscious secret management.Deployment properly uses Secrets for API keys (SecurityKeyRef for OPENAI_API_KEY), resource limits are reasonable, and LoadBalancer Service is appropriate for external access. The three-replica setup provides basic redundancy. Consider adding liveness/readiness probes in production for enhanced resilience, though the current setup is deployable.
238-266: ✓ Production-ready SaaS patterns with Stripe integration.API key authentication using FastAPI's Security dependency is correct. Stripe metered billing implementation with usage records is sound. Note: Production code should add webhook signature verification for Stripe events, though this is beyond the scope of a boilerplate example.
268-356: ✓ Desktop applications with proper GUI threading and Electron integration.Tkinter threading pattern (using root.after()) is correct for GUI responsiveness. PyInstaller syntax is accurate with --onefile and --windowed flags. Electron's spawn() pattern for Python backend is standard. One note: Consider documenting onedir vs --onefile trade-offs (smaller individual files vs. larger initial download), though both are valid approaches.
configs/langflow-config.json.txt (1)
60-96: ✓ Comprehensive model provider and security configuration.Model provider defaults (OpenAI, Anthropic, Ollama, optional Google) are well-chosen. All credentials use environment variable pattern for security. CORS is appropriately restrictive (localhost only). Git integration with auto_export disabled by default is sensible. The "environment": "local" designation clarifies this is development-focused, though production deployment might benefit from a note about enabling authentication and rate_limiting in deployment.docker/production sections.
setup.sh (1)
1650-1654: Consider combining local declarations with assignments.The coding guidelines specify using
local var="$value"pattern. Currently, variables are declared and assigned separately:local python_version python_version=$(python3 --version 2>&1 | cut -d' ' -f2) local major minor major=$(echo "$python_version" | cut -d. -f1) minor=$(echo "$python_version" | cut -d. -f2)♻️ Proposed refactor to match coding guidelines
- local python_version - python_version=$(python3 --version 2>&1 | cut -d' ' -f2) - local major minor - major=$(echo "$python_version" | cut -d. -f1) - minor=$(echo "$python_version" | cut -d. -f2) + local python_version + python_version=$(python3 --version 2>&1 | cut -d' ' -f2) + local major + major=$(echo "$python_version" | cut -d. -f1) + local minor + minor=$(echo "$python_version" | cut -d. -f2)Based on coding guidelines.
.agent/scripts/langflow-helper.sh (1)
60-67: Consider following the local variable assignment pattern.The coding guidelines specify using
local var="$value"pattern. Currentlypython_versionis declared and assigned separately.♻️ Proposed refactor
# Check Python if command -v python3 &> /dev/null; then - local python_version - python_version=$(python3 --version 2>&1 | cut -d' ' -f2) + local python_version + python_version=$(python3 --version 2>&1 | cut -d' ' -f2) print_success "Python 3 found: $python_version" elseNote: The current pattern is already split across two lines, which is acceptable. The guideline primarily discourages inline assignment like
local python_version=$(...)which can mask errors due tolocal's return code.Based on coding guidelines.
.agent/scripts/crewai-helper.sh (3)
117-131: Consider adding install verification.The
set -eshould catch install failures, but adding explicit verification after package installation would provide clearer feedback to users when something goes wrong.Optional enhancement
if command -v uv &> /dev/null; then uv pip install crewai -U uv pip install 'crewai[tools]' -U uv pip install streamlit -U else pip install crewai -U pip install 'crewai[tools]' -U pip install streamlit -U fi + + # Verify installation + if ! python -c "import crewai" 2>/dev/null; then + print_error "CrewAI installation verification failed" + return 1 + fi
434-436: Status script output can be confusing.The
pgrep -foutputs PIDs directly, thenps aux | grepoutputs full process info, andgrep -v grepfilters. This can result in orphaned PIDs printed without context if thepscommand timing differs.Cleaner process info output
echo "" echo "Process Information:" -pgrep -f "streamlit.*studio_app" && ps aux | grep -E "streamlit.*studio_app" | grep -v grep || echo "No CrewAI Studio processes found" +if pgrep -f "streamlit.*studio_app" >/dev/null 2>&1; then + ps aux | grep -E "streamlit.*studio_app" | grep -v grep +else + echo "No CrewAI Studio processes found" +fi
600-604: Unknown actions silently show help instead of error.The
help|*pattern means typos likestratinstead ofstartsilently show help. Consider warning on unknown actions while still showing help.Optional: Warn on unknown actions
"help") show_usage ;; + *) + print_warning "Unknown action: $action" + show_usage + return 1 + ;; - "help"|*) - show_usage - ;;.agent/scripts/autogen-helper.sh (1)
33-49: Duplicate helper functions across scripts.The
print_info,print_success,print_warning, andprint_errorfunctions are identical acrosscrewai-helper.sh,autogen-helper.sh, andlangflow-helper.sh. Consider extracting to a shared library.Extract to shared library
Create
.agent/scripts/lib/common.sh:#!/bin/bash # Common helper functions for AI orchestration scripts RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' NC='\033[0m' print_info() { echo -e "${BLUE}[INFO]${NC} $1"; } print_success() { echo -e "${GREEN}[SUCCESS]${NC} $1"; } print_warning() { echo -e "${YELLOW}[WARNING]${NC} $1"; } print_error() { echo -e "${RED}[ERROR]${NC} $1"; }Then source it in each helper:
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" source "$SCRIPT_DIR/lib/common.sh".agent/tools/ai-orchestration/overview.md (1)
282-284: Prefer SIGTERM before SIGKILL.Using
kill -9(SIGKILL) immediately doesn't allow graceful shutdown. Recommend trying SIGTERM first.Gentler process termination
# Kill process on port -kill -9 $(lsof -t -i:7860) +# Try graceful shutdown first, then force if needed +kill $(lsof -t -i:7860) 2>/dev/null || kill -9 $(lsof -t -i:7860)
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📒 Files selected for processing (14)
.agent/AGENTS.md.agent/scripts/autogen-helper.sh.agent/scripts/crewai-helper.sh.agent/scripts/langflow-helper.sh.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md.agent/tools/ai-orchestration/langflow.md.agent/tools/ai-orchestration/overview.md.agent/tools/ai-orchestration/packaging.mdREADME.mdconfigs/autogen-config.json.txtconfigs/crewai-config.json.txtconfigs/langflow-config.json.txtsetup.sh
🧰 Additional context used
📓 Path-based instructions (4)
**/*.md
📄 CodeRabbit inference engine (AGENTS.md)
Use placeholders in examples and note secure storage location in documentation
Files:
README.md
.agent/scripts/*.sh
⚙️ CodeRabbit configuration file
.agent/scripts/*.sh: Automation scripts - focus on:
- Reliability and robustness
- Clear logging and feedback
- Proper exit codes
- Error recovery mechanisms
Files:
.agent/scripts/crewai-helper.sh.agent/scripts/autogen-helper.sh.agent/scripts/langflow-helper.sh
**/setup.sh
📄 CodeRabbit inference engine (AGENTS.md)
Deploy agents locally using ./setup.sh script
Files:
setup.sh
**/*.sh
📄 CodeRabbit inference engine (AGENTS.md)
**/*.sh: Use local var="$1" pattern for shell variable assignments
Use explicit returns in shell scripts
Run ShellCheck on all scripts with zero violations required
Files:
setup.sh
🧠 Learnings (13)
📓 Common learnings
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: templates/home/AGENTS.md:0-0
Timestamp: 2025-12-22T01:24:53.937Z
Learning: Reference the authoritative repository at ~/Git/aidevops/ for all detailed AI assistant instructions and configurations
📚 Learning: 2025-11-29T04:34:42.033Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENT.md:0-0
Timestamp: 2025-11-29T04:34:42.033Z
Learning: Maintain all AI assistant instructions, documentation, and operational guidance in AGENTS.md as the single source of truth
Applied to files:
.agent/tools/ai-orchestration/overview.md.agent/AGENTS.md.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md
📚 Learning: 2025-12-22T01:24:53.937Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: templates/home/AGENTS.md:0-0
Timestamp: 2025-12-22T01:24:53.937Z
Learning: Reference the authoritative repository at ~/Git/aidevops/ for all detailed AI assistant instructions and configurations
Applied to files:
.agent/tools/ai-orchestration/overview.mdREADME.md.agent/tools/ai-orchestration/langflow.mdconfigs/langflow-config.json.txtconfigs/autogen-config.json.txtconfigs/crewai-config.json.txt.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md
📚 Learning: 2025-11-29T04:34:42.033Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENT.md:0-0
Timestamp: 2025-11-29T04:34:42.033Z
Learning: Reference AGENTS.md (authoritative) instead of AGENT.md for AI assistant guidance
Applied to files:
.agent/tools/ai-orchestration/overview.md.agent/AGENTS.md.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md
📚 Learning: 2025-11-29T04:34:27.158Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: CLAUDE.md:0-0
Timestamp: 2025-11-29T04:34:27.158Z
Learning: All instructions, documentation, and operational guidance should be maintained in AGENTS.md as the single source of truth
Applied to files:
.agent/tools/ai-orchestration/overview.md.agent/AGENTS.md.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md
📚 Learning: 2025-11-29T04:34:30.742Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: GEMINI.md:0-0
Timestamp: 2025-11-29T04:34:30.742Z
Learning: Reference AGENTS.md for authoritative AI assistant guidance instead of GEMINI.md
Applied to files:
.agent/tools/ai-orchestration/overview.md.agent/AGENTS.md.agent/tools/ai-orchestration/autogen.md.agent/tools/ai-orchestration/crewai.md
📚 Learning: 2026-01-06T15:57:56.007Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-06T15:57:56.007Z
Learning: Applies to **/setup.sh : Deploy agents locally using ./setup.sh script
Applied to files:
.agent/scripts/autogen-helper.sh
📚 Learning: 2025-12-22T01:24:53.937Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: templates/home/AGENTS.md:0-0
Timestamp: 2025-12-22T01:24:53.937Z
Learning: Follow all security protocols and working directory specifications defined in ~/Git/aidevops/AGENTS.md
Applied to files:
.agent/scripts/autogen-helper.sh
📚 Learning: 2025-12-22T01:24:53.937Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: templates/home/AGENTS.md:0-0
Timestamp: 2025-12-22T01:24:53.937Z
Learning: Use the helper script at ~/Git/aidevops/.agent/scripts/setup-local-api-keys.sh to manage secure storage of API keys rather than manual configuration
Applied to files:
.agent/scripts/autogen-helper.sh
📚 Learning: 2026-01-06T15:57:56.007Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-06T15:57:56.007Z
Learning: Applies to **/.agent/scripts/linters-local.sh : Run quality checks before committing using .agent/scripts/linters-local.sh
Applied to files:
.agent/scripts/autogen-helper.sh
📚 Learning: 2026-01-06T15:57:56.008Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-06T15:57:56.008Z
Learning: Applies to **/AGENTS.md : Use progressive disclosure in AGENTS.md with pointers to subagents rather than inline content
Applied to files:
.agent/AGENTS.md
📚 Learning: 2025-11-29T04:34:30.742Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: GEMINI.md:0-0
Timestamp: 2025-11-29T04:34:30.742Z
Learning: Maintain all instructions, documentation, and operational guidance in AGENTS.md as the single source of truth
Applied to files:
.agent/AGENTS.md.agent/tools/ai-orchestration/autogen.md
📚 Learning: 2026-01-06T15:57:56.008Z
Learnt from: CR
Repo: marcusquinn/aidevops PR: 0
File: AGENTS.md:0-0
Timestamp: 2026-01-06T15:57:56.008Z
Learning: Applies to **/AGENTS.md : Limit root AGENTS.md to ~50-100 max instructions with universal applicability to >80% of tasks
Applied to files:
.agent/AGENTS.md
🧬 Code graph analysis (3)
.agent/scripts/autogen-helper.sh (3)
.agent/scripts/crewai-helper.sh (4)
print_info(36-38)print_success(40-42)print_error(48-50)print_warning(44-46).agent/scripts/langflow-helper.sh (4)
print_info(37-39)print_success(41-43)print_error(49-51)print_warning(45-47)setup.sh (4)
print_info(25-25)print_success(26-26)print_error(28-28)print_warning(27-27)
.agent/scripts/langflow-helper.sh (2)
.agent/scripts/autogen-helper.sh (3)
print_info(34-36)print_success(38-40)create_management_scripts(228-340).agent/scripts/crewai-helper.sh (3)
print_info(36-38)print_success(40-42)create_management_scripts(344-450)
setup.sh (1)
aidevops.sh (3)
print_info(25-25)print_success(26-26)print_warning(27-27)
🪛 LanguageTool
.agent/tools/ai-orchestration/autogen.md
[typographical] ~119-~119: This greeting should probably end with a comma.
Context: ...GEN_STUDIO_PORT=8081 ## Usage ### Hello World python import asyncio from autogen_...
(EN_GREETING_WITHOUT_COMMA)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Codacy Static Code Analysis
🔇 Additional comments (27)
.agent/AGENTS.md (1)
359-359: Subagent folder entry properly formatted and well-positioned.The new
tools/ai-orchestration/entry follows the established table format, includes a clear purpose description, and lists the appropriate subagent files. Placement in the subagent folders table is logical and maintains consistency with surrounding entries..agent/tools/ai-orchestration/autogen.md (1)
22-26: No action required—all referenced scripts are correctly implemented.The referenced scripts have been verified:
.agent/scripts/autogen-helper.shexists and is properly implemented- The three management scripts (
start-autogen-studio.sh,stop-autogen-studio.sh,autogen-status.sh) are dynamically created in~/.aidevops/scripts/by the helper'ssetupaction- All paths and naming in the Quick Reference section match the actual implementation exactly
.agent/tools/ai-orchestration/crewai.md (6)
1-38: ✓ Well-structured frontmatter and quick reference.The metadata and quick reference are clear, actionable, and align with the project's established patterns. Port 8501 and runtime directory structure (~/.aidevops/crewai/) are properly referenced.
40-114: ✓ Clear framework overview and practical installation guidance.Concepts are well-explained with appropriate API examples. Installation paths (automated vs. manual) provide good user choice, and the "Create a New Project" section demonstrates practical workflows.
116-184: ✓ Comprehensive configuration guidance with proper YAML structure.Environment variables and YAML examples follow CrewAI conventions. The inclusion of optional providers (Anthropic, Serper) and local LLM support demonstrates good coverage. YAML syntax is correct, and variable templating is well-demonstrated.
185-284: ✓ Practical Python examples with correct API usage.The Basic Crew and Flows examples demonstrate proper CrewAI patterns. Typing with Pydantic, decorator usage, and sequential process orchestration are correctly shown. Examples are concise and actionable for getting started.
285-350: ✓ Solid local LLM and deployment patterns.Ollama (localhost:11434) and LM Studio (localhost:1234/v1) configurations use standard endpoints. Git integration guidance properly separates versioned configs from secrets. Docker and FastAPI examples are correct, though the FastAPI example references create_my_crew() which isn't in scope—acceptable for templated guidance.
389-444: ✓ Practical integration examples and comprehensive troubleshooting.Integration guidance ties CrewAI to Langflow and aidevops workflows naturally. Troubleshooting covers common issues (imports, API keys, memory) with actionable solutions. Resource links provide clear paths for deeper learning.
.agent/tools/ai-orchestration/packaging.md (5)
1-46: ✓ Clear quick reference with appropriate technology choices.Deployment option matrix is well-organized and technology selections (FastAPI, Docker, PyInstaller, serverless) are well-suited to their use cases. Quick commands are concise and actionable.
52-159: ✓ Production-quality FastAPI and Docker patterns.The FastAPI backend demonstrates proper async patterns, exception handling, and structured responses. Dockerfile uses layer caching best practices (requirements.txt before application code) and --no-cache-dir optimization. Docker Compose health checks and optional Redis integration are well-configured. One minor verification needed: AutoGen's agent.run() API signature—confirm the exact parameter names match the latest AutoGen release.
397-477: ✓ Sound mobile backend with proper async patterns.BackgroundTasks for non-blocking task execution is the correct FastAPI approach. UUID generation and task status polling via React Native Fetch API follow standard mobile patterns. The honest caveat about in-memory storage vs. Redis production readiness is appreciated. Consider mentioning WebSocket as a future upgrade for real-time updates, though polling is appropriate for this guide.
479-565: ✓ Serverless patterns and export strategies properly documented.Vercel and Lambda handlers demonstrate correct patterns for their runtimes. The emphasis on lightweight agents for serverless is important guidance. Export patterns (Langflow, CrewAI, AutoGen) show how to move from visual development to portable code—aligning well with the Zero Lock-in principle stated in the guide.
567-647: ✓ Production-ready CI/CD and comprehensive best practices.GitHub Actions workflow demonstrates proper Docker build/push and Kubernetes rolling deployment. Best practices section (Zero Lock-in, Security, Performance, Monitoring) covers essential aspects. Prometheus and OpenTelemetry integration examples are correct. The emphasis on secrets management and monitoring aligns perfectly with A-grade DevOps standards.
configs/langflow-config.json.txt (2)
1-59: ✓ Well-structured configuration with secure defaults.Directory structure follows established ~/.aidevops/ pattern. Port 7860 is correct for Langflow UI. Security-conscious defaults (include_credentials: false for exports, SQLite for local development) demonstrate proper DevOps practices. Features appropriately defaulted (MCP disabled, custom components enabled).
97-115: ✓ Usage examples and benefits well-articulated.All helper script references align with the PR's tooling structure (.agent/scripts/ and ~/.aidevops/scripts/). Usage commands cover complete lifecycle (setup, start, stop, status, export, import). Resource recommendations (4GB/8GB) are reasonable for LLM-based tools. Benefits section effectively communicates value proposition aligned with AI DevOps goals.
.agent/scripts/langflow-helper.sh (7)
21-51: LGTM - Excellent error handling and clean helper functions.The use of
set -euo pipefailensures robust error handling, and the color-coded logging functions provide clear user feedback. Configuration variables properly use${VAR:-default}pattern for defaults.
93-191: LGTM - Robust setup with proper error handling.The function correctly handles:
- Directory creation with safe
mkdir -p- Error checking with
|| exit 1on critical operations- Quoted heredocs (
'EOF') to prevent unintended variable expansion in templates- Proper ShellCheck directives for dynamic source paths
- Conditional file creation to avoid overwriting existing configs
193-283: LGTM - Consistent management script generation.The management script generation follows the same patterns as
autogen-helper.shandcrewai-helper.sh, ensuring consistency across the AI orchestration framework helpers. Good use of:
- Quoted heredocs to prevent variable expansion
- PID file tracking for clean process management
- Health endpoint checks for service verification
- Fallback
pkillfor robustness
285-319: LGTM - Clean delegation pattern with good fallbacks.These control functions properly delegate to generated management scripts while providing sensible fallbacks when scripts aren't found. The error handling is appropriate for each operation type.
321-346: LGTM - Proper parameter handling and error checking.The function correctly uses
local var="${1:-default}"pattern per coding guidelines, includes proper venv validation, and gracefully handles cases where no flows exist.
348-388: LGTM - Robust import logic with good error handling.The function properly:
- Validates prerequisites (venv, directory existence)
- Uses the recommended
local var="${1:-default}"pattern- Safely iterates through JSON files with existence checks
- Provides detailed feedback on import results
420-461: LGTM - Well-structured main function with proper argument handling.The main function correctly implements the command dispatch pattern with:
- Proper default argument handling using
${1:-help}- Safe shift with
|| trueto handle no-argument case- Comprehensive case statement covering all documented actions
- Explicit return statement
This maintains excellent consistency with the other AI orchestration helper scripts (
autogen-helper.sh,crewai-helper.sh)..agent/tools/ai-orchestration/langflow.md (1)
1-405: LGTM - Comprehensive and well-structured documentation.The Langflow documentation is thorough and aligns perfectly with the implementation in:
langflow-helper.sh(setup paths, ports, scripts)configs/langflow-config.json.txt(configuration values)Key strengths:
- Clear quick reference section with essential commands
- Multiple installation methods (automated, manual, Docker, desktop)
- Practical examples for common workflows (RAG, multi-agent)
- Git integration best practices with export/import
- Troubleshooting section with concrete solutions
- Integration examples with CrewAI and OpenCode
.agent/scripts/crewai-helper.sh (1)
1-21: LGTM on script header and safety settings.Good use of
set -euo pipefailfor robust error handling. The header documentation clearly describes available actions..agent/scripts/autogen-helper.sh (1)
181-225: LGTM on example script.Good async patterns with proper cleanup via
await model_client.close(). The example demonstrates AutoGen usage clearly..agent/tools/ai-orchestration/overview.md (2)
41-48: Port allocation table matches helper scripts - LGTM.Verified: CrewAI Studio uses 8501 (line 32 in crewai-helper.sh), AutoGen Studio uses 8081 (line 30 in autogen-helper.sh). Documentation is consistent with implementation.
1-50: Well-structured overview documentation.The AI context markers, quick reference, and decision matrix provide excellent guidance for selecting the right framework. The port allocation table and quick setup commands are immediately actionable.
| mkdir -p "$AUTOGEN_DIR" | ||
| mkdir -p "$SCRIPTS_DIR" | ||
|
|
||
| cd "$AUTOGEN_DIR" || exit 1 |
There was a problem hiding this comment.
Use return instead of exit in function.
Same issue as crewai-helper.sh - exit 1 terminates the entire script rather than just returning from the function.
Suggested fix
- cd "$AUTOGEN_DIR" || exit 1
+ cd "$AUTOGEN_DIR" || { print_error "Cannot access directory: $AUTOGEN_DIR"; return 1; }🤖 Prompt for AI Agents
In @.agent/scripts/autogen-helper.sh at line 107, The cd command in the function
uses "cd \"$AUTOGEN_DIR\" || exit 1", which will terminate the whole script;
change the failure handler to return from the function instead of exiting the
process by replacing "exit 1" with "return 1" (i.e., use "cd \"$AUTOGEN_DIR\" ||
return 1") so the function returns an error status without killing the entire
script; apply the same change wherever the pattern "|| exit 1" appears inside
helper functions.
| minor=$(echo "$python_version" | cut -d. -f2) | ||
|
|
||
| if [[ $major -ge 3 ]] && [[ $minor -ge 10 ]]; then | ||
| print_success "Python $python_version found (3.10+ required)" | ||
| else | ||
| print_error "Python 3.10+ required, found $python_version" | ||
| missing=1 | ||
| fi |
There was a problem hiding this comment.
Python version comparison logic is flawed.
The current logic [[ $major -ge 3 ]] && [[ $minor -ge 10 ]] would incorrectly reject Python 4.0+ (since minor would be less than 10). While Python 4.x isn't imminent, the logic should be future-proof.
Suggested fix
- if [[ $major -ge 3 ]] && [[ $minor -ge 10 ]]; then
+ if [[ $major -gt 3 ]] || { [[ $major -eq 3 ]] && [[ $minor -ge 10 ]]; }; then🤖 Prompt for AI Agents
In @.agent/scripts/crewai-helper.sh around lines 64 - 71, The version check in
crewai-helper.sh incorrectly uses '[[ $major -ge 3 ]] && [[ $minor -ge 10 ]]'
which rejects Python 4.x; change the condition to allow any major > 3 or major
== 3 with minor >= 10 (i.e., use a compound check like major -gt 3 || (major -eq
3 && minor -ge 10)) so the block around print_success/print_error (using
variables python_version, major, minor and setting missing=1) correctly accepts
future major versions while still enforcing 3.10+ for Python 3.
| cd "$project_dir" || exit 1 | ||
|
|
There was a problem hiding this comment.
Use return instead of exit in function.
Using exit 1 inside a function terminates the entire script. For consistency with the error handling pattern used elsewhere (e.g., line 495), use return 1.
Suggested fix
- cd "$project_dir" || exit 1
+ cd "$project_dir" || { print_error "Cannot access directory: $project_dir"; return 1; }🤖 Prompt for AI Agents
In @.agent/scripts/crewai-helper.sh around lines 490 - 491, The command `cd
"$project_dir" || exit 1` inside the function terminates the whole script;
replace `exit 1` with `return 1` so the function returns an error code instead
of exiting the process—update the `cd "$project_dir" || exit 1` line to `cd
"$project_dir" || return 1` (preserving the surrounding function and any
existing error handling pattern).
| - **Stop**: `~/.aidevops/scripts/stop-autogen-studio.sh` | ||
| - **Status**: `~/.aidevops/scripts/autogen-status.sh` | ||
| - **URL**: http://localhost:8081 (AutoGen Studio) | ||
| - **Config**: `~/.aidevops/autogen/.env` |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
# Find autogen.md in the repository
find . -name "autogen.md" -type fRepository: marcusquinn/aidevops
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find . -name "AGENTS.md" -type fRepository: marcusquinn/aidevops
Length of output: 152
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# Check if the referenced script files exist
find . -path "*/.agent/scripts/autogen-helper.sh" -o -path "*/.aidevops/scripts/start-autogen-studio.sh" -o -path "*/.aidevops/scripts/stop-autogen-studio.sh" -o -path "*/.aidevops/scripts/autogen-status.sh"Repository: marcusquinn/aidevops
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wc -l ./.agent/tools/ai-orchestration/autogen.mdRepository: marcusquinn/aidevops
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# Read autogen.md to see lines around 27, 61, and 97-115
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grep -n "credentials\|mcp-env.sh\|\.env\|600 permissions" ./AGENTS.md | head -20Repository: marcusquinn/aidevops
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Align credential storage with AGENTS.md authoritative security standards.
autogen.md references ~/.aidevops/autogen/.env for credentials (lines 27, 61, 97–115), but AGENTS.md mandates ~/.config/aidevops/mcp-env.sh with 600 permissions. The implementation in autogen-helper.sh mirrors autogen.md's pattern, creating and sourcing a separate .env file rather than the authoritative credential location.
To fix:
- Update autogen-helper.sh to source credentials from
~/.config/aidevops/mcp-env.shinstead of creating.env - Update autogen.md to reference the AGENTS.md credential standard
- Use placeholders in all credential examples and explicitly note the secure storage location per AGENTS.md line 93
Secondary issue: Quick Reference (lines 23–25) lists start/stop/status scripts as available before setup creates them. Clarify that these scripts are generated during setup.
🤖 Prompt for AI Agents
In @.agent/tools/ai-orchestration/autogen.md at line 27, autogen.md and
autogen-helper.sh currently reference and create ~/.aidevops/autogen/.env but
AGENTS.md is the authoritative source and requires credentials in
~/.config/aidevops/mcp-env.sh with 600 perms; update autogen-helper.sh to stop
creating/sourcing .env and instead source ~/.config/aidevops/mcp-env.sh (ensure
permission checks and fail-fast if missing), update autogen.md to reference the
AGENTS.md standard path and permissions and replace inline credential examples
with placeholders pointing to that secure file, and amend the Quick Reference
text to note that start/stop/status scripts are generated by the setup step
rather than being pre-existing.
| - **License**: MIT | ||
| - **Stars**: 143k+ | ||
| - **GUI**: Native web UI (localhost:7860) |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
Langflow GitHub stars 2025
💡 Result:
Short timeline in 2025 for Langflow's GitHub stars:
- Jan 13, 2025 — reported ~43.1k stars. [1]
- Nov/Dec 2025 — Langflow announced it hit 100k stars. [2]
Sources: [1] GitHub simple-icons issue mentioning 43.1k (Jan 13, 2025). [2] Langflow blog post announcing 100k stars (Nov/Dec 2025).
🌐 Web query:
CrewAI GitHub stars 2025
💡 Result:
- July 21, 2025 — ~34,000 stars. [1][2]
- October 21, 2025 — ~39,381 stars (RepositoryStats snapshot). [3]
Sources: news report noting 34k stars (Jul 21, 2025) and RepositoryStats listing ~39,381 stargazers (Oct 2025). [1][3]
🌐 Web query:
AutoGen GitHub stars 2025
💡 Result:
- microsoft/autogen had about 45.7K stars in June 2025. [1]
- On GitHub right now (Jan 11, 2026) the repo shows ~53.4K stars. [2]
Sources: [1] AgentWise (Jun 2025 metrics). [2] microsoft/autogen GitHub repository (current star count).
Update GitHub star counts to reflect current data (January 2026).
The cited star counts are inaccurate. Langflow is listed as 143k+ but reached ~100k+ in late 2025. CrewAI shows ~39.4k as of October 2025, and AutoGen is correctly at ~53.4k. Rather than maintaining specific counts that will drift, use relative comparisons ("highly popular", "widely adopted") or commit to regular updates as part of documentation maintenance.
Also applies to: lines 98-100, 122-125
🤖 Prompt for AI Agents
In @.agent/tools/ai-orchestration/overview.md around lines 73 - 75, Replace the
hard-coded GitHub star counts for projects (the bulleted items referencing
Langflow, CrewAI, AutoGen) with relative, non-time-sensitive phrases (e.g.,
"highly popular", "widely adopted", "well-known") or add a clear "as of <date>"
timestamp and a maintenance note; update the three occurrences mentioned (the
bullets at the diff and the similar lists at the other two locations) to use
these relative descriptors or timestamped counts to avoid stale data.
| ├── .env.example # Template for .env | ||
| ├── start_{tool}.sh # Startup script | ||
| └── {tool-specific}/ # Tool-specific files |
There was a problem hiding this comment.
Script naming inconsistency with implementation.
Documentation shows start_{tool}.sh but the actual generated scripts are named start-crewai-studio.sh, start-autogen-studio.sh, etc. (with hyphens and -studio suffix).
Suggested fix
~/.aidevops/{tool}/
├── venv/ # Python virtual environment
├── .env # API keys and configuration
├── .env.example # Template for .env
-├── start_{tool}.sh # Startup script
+├── studio_app.py # Studio application (if applicable)
└── {tool-specific}/ # Tool-specific filesAnd update lines 208-212:
After setup, management scripts are created at `~/.aidevops/scripts/`:
-- `start-{tool}-stack.sh` - Start all services
-- `stop-{tool}-stack.sh` - Stop all services
+- `start-{tool}-studio.sh` - Start studio service
+- `stop-{tool}-studio.sh` - Stop studio service
- `{tool}-status.sh` - Check service health📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| ├── .env.example # Template for .env | |
| ├── start_{tool}.sh # Startup script | |
| └── {tool-specific}/ # Tool-specific files | |
| ├── .env.example # Template for .env | |
| ├── studio_app.py # Studio application (if applicable) | |
| └── {tool-specific}/ # Tool-specific files |
🤖 Prompt for AI Agents
In @.agent/tools/ai-orchestration/overview.md around lines 177 - 179, The doc
snippet shows a mismatched script name pattern; update the overview to reflect
the actual generated scripts by replacing the generic `start_{tool}.sh` with the
real naming convention `start-{tool}-studio.sh` (e.g., `start-crewai-studio.sh`,
`start-autogen-studio.sh`) and ensure the directory list and any
examples/comments mention the hyphenated `-studio` suffix so the documentation
matches the implemented filenames.
🔍 Code Quality Report�[0;35m[MONITOR]�[0m Code Review Monitoring Report �[0;34m[INFO]�[0m Latest Quality Status: �[0;34m[INFO]�[0m Recent monitoring activity: 📈 Current Quality Metrics
Generated on: Sun Jan 11 16:56:49 UTC 2026 Generated by AI DevOps Framework Code Review Monitoring |
Add comprehensive integration for three major AI orchestration frameworks:
- Langflow: Visual drag-and-drop workflow builder (MIT, localhost:7860)
- CrewAI: Multi-agent teams with role-based orchestration (MIT, localhost:8501)
- AutoGen: Microsoft's agentic AI framework with MCP support (MIT, localhost:8081)
New files:
- .agent/tools/ai-orchestration/overview.md - Decision matrix and comparison
- .agent/tools/ai-orchestration/{langflow,crewai,autogen}.md - Setup guides
- .agent/tools/ai-orchestration/packaging.md - Deployment templates
- .agent/scripts/{langflow,crewai,autogen}-helper.sh - Setup scripts
- configs/{langflow,crewai,autogen}-config.json.txt - Config templates
Updated:
- .agent/AGENTS.md - Added ai-orchestration category
- README.md - Added AI Orchestration Frameworks section
- setup.sh - Added setup_ai_orchestration() function
All frameworks follow common design patterns aligned with existing Agno integration:
- Runtime directory: ~/.aidevops/{tool}/
- Virtual environment management
- Standard start/stop/status scripts
- Local LLM support via Ollama
…tion helpers
- Add get_available_port() function to all three helpers
- Update start scripts to check port availability before starting
- Auto-select alternative port if default is in use
- Save actual port to /tmp/{tool}_port for status scripts
- Update status scripts to read actual port from saved file
- Document port management integration in overview.md
Integrates with PR #52 localhost port management for conflict avoidance.
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Generated on: Sun Jan 11 17:01:17 UTC 2026 Generated by AI DevOps Framework Code Review Monitoring |
1 participant
Summary
Add comprehensive integration for three major AI orchestration frameworks with common design patterns aligned with existing Agno integration.
Frameworks Added
New Files
Documentation (
.agent/tools/ai-orchestration/):overview.md- Decision matrix and framework comparisonlangflow.md- Langflow setup and usage guidecrewai.md- CrewAI setup and usage guideautogen.md- AutoGen setup and usage guidepackaging.md- Deployment and packaging guide (Docker, FastAPI, PyInstaller)Helper Scripts (
.agent/scripts/):langflow-helper.sh- Setup/start/stop/status commandscrewai-helper.sh- Setup/start/stop/status commandsautogen-helper.sh- Setup/start/stop/status commandsConfig Templates (
configs/):langflow-config.json.txtcrewai-config.json.txtautogen-config.json.txtUpdated Files
.agent/AGENTS.md- Addedtools/ai-orchestration/categoryREADME.md- Added AI Orchestration Frameworks sectionsetup.sh- Addedsetup_ai_orchestration()functionCommon Design Patterns
All frameworks follow the same pattern as existing Agno integration:
~/.aidevops/{tool}/venv/.envstart-{tool}.sh,stop-{tool}.sh,{tool}-status.shKey Features
Testing
Related
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