Workflows & Task Decomposition
How MUXI breaks complex requests into multi-agent workflows
Complex tasks need multiple agents with different skills. MUXI automatically decomposes requests into workflows, coordinates execution, and synthesizes results - no manual orchestration needed.
The Problem
Traditional approach:
User: "Research AI trends, write blog post, create social media posts"
You manually:
1. Call researcher agent
2. Wait for results
3. Pass to writer agent
4. Wait for blog post
5. Pass to social media agent
6. Combine everything
Manual orchestration, error-prone, slow.
MUXI approach:
User: "Research AI trends, write blog post, create social media posts"
MUXI automatically:
1. Analyzes complexity
2. Creates workflow
3. Executes in parallel
4. Returns combined results
Automatic orchestration, reliable, fast.
How It Works
graph TD
U[User Request] --> O[Overlord]
O --> C{Complexity Check}
C -->|Simple ๏นค7| A1[Single Agent]
C -->|Complex โฅ7| W[Create Workflow]
W --> D[Decompose Tasks]
D --> T1[Task 1]
D --> T2[Task 2]
D --> T3[Task 3]
T1 --> E[Execute]
T2 --> E
T3 --> E
E --> S[Synthesize Results]
A1 --> R[Response]
S --> R
Complexity Scoring
The Overlord scores requests from 0-10:
| Score | Example | Action |
|---|---|---|
| 0-3 | "What's the weather?" | Simple, single agent |
| 4-6 | "Explain quantum computing" | Moderate, may use tools |
| 7-10 | "Research, analyze, create report" | Complex, trigger workflow |
Configure threshold:
overlord:
workflow:
auto_decomposition: true
complexity_threshold: 7.0 # Workflows trigger at 7+
Start with a higher threshold (8+) and lower it if needed. Too many workflows slow things down. Only decompose when the task genuinely needs multiple agents.
Workflow Creation
When complexity โฅ threshold:
User: "Analyze our codebase, create security audit, file GitHub issues"
โ
Overlord analyzes:
- Multiple steps mentioned
- Different skills needed (analysis, security, GitHub)
- Multiple output artifacts
โ
Complexity score: 9/10
โ
Create workflow:
Task 1: Analyze codebase โ code-reviewer agent
Task 2: Security audit โ security-agent (depends on Task 1)
Task 3: Create issues โ github-agent (depends on Task 2)
Workflow Components
1. Task Decomposition
Break request into subtasks:
Original: "Research competitors and create comparison report"
Decomposed:
- Task 1: Research company A (researcher)
- Task 2: Research company B (researcher)
- Task 3: Research company C (researcher)
- Task 4: Compare features (analyst)
- Task 5: Create report (writer)
2. Dependency Management
Determine task order:
Task 1, 2, 3: Can run in parallel (no dependencies)
Task 4: Depends on 1, 2, 3 (needs research results)
Task 5: Depends on 4 (needs comparison)
3. Agent Assignment
Match agents to tasks:
Tasks 1-3: researcher (has web-search tool)
Task 4: analyst (has data-analysis tool)
Task 5: writer (has document-creation tool)
4. Parallel Execution
Run independent tasks simultaneously:
Start: Tasks 1, 2, 3 execute in parallel
โ
All complete
โ
Start: Task 4 executes (uses results from 1, 2, 3)
โ
Complete
โ
Start: Task 5 executes (uses result from 4)
โ
Complete
โ
Return combined result to user
Workflow Example
Simple Request (Score: 4)
User: "What's the capital of France?"
Overlord:
- Score: 4 (factual question)
- Route to: assistant agent
- No workflow needed
Response: "The capital of France is Paris."
Complex Request (Score: 9)
User: "Research top 5 project management tools, compare features,
create a recommendation report"
Overlord:
- Score: 9 (multiple steps, research, analysis, creation)
- Create workflow:
Task 1: Research Asana
Agent: researcher
Tools: web-search
Output: feature_list_asana
Task 2: Research Monday
Agent: researcher
Tools: web-search
Output: feature_list_monday
Task 3: Research ClickUp
Agent: researcher
Tools: web-search
Output: feature_list_clickup
Task 4: Research Jira
Agent: researcher
Tools: web-search
Output: feature_list_jira
Task 5: Research Trello
Agent: researcher
Tools: web-search
Output: feature_list_trello
[Tasks 1-5 run in parallel]
Task 6: Compare features
Agent: analyst
Tools: data-analysis
Input: feature_lists from Tasks 1-5
Output: comparison_matrix
Task 7: Create recommendation report
Agent: writer
Tools: document-creation
Input: comparison_matrix from Task 6
Output: recommendation_report.pdf
Response: "Here's your report comparing the top 5 PM tools..."
[Attached: recommendation_report.pdf]
Execution Flow
sequenceDiagram
participant U as User
participant O as Overlord
participant R as Researcher
participant A as Analyst
participant W as Writer
U->>O: Complex request
O->>O: Score complexity: 9
O->>O: Create workflow
O->>R: Tasks 1-5 (parallel)
R-->>O: All research complete
O->>A: Task 6: Compare
A-->>O: Comparison complete
O->>W: Task 7: Create report
W-->>O: Report complete
O->>O: Synthesize results
O->>U: Final response + PDF
Error Handling
What happens when a task fails?
Task 1: โ
Success
Task 2: โ Failed (API timeout)
Task 3: โ
Success
โ
Overlord:
- Retry Task 2 (up to 3 times)
- If still fails, mark as partial failure
- Continue with available results
โ
Task 4: Executes with results from 1 and 3
โ
Response: "I completed the analysis, but encountered an issue
accessing one data source. Here are the results..."
Configuration
Enable Workflows
overlord:
workflow:
auto_decomposition: true # Enable automatic workflows
complexity_threshold: 7.0 # Score to trigger workflow (default: 7.0)
Workflow Settings
overlord:
workflow:
max_parallel_tasks: 5 # Max concurrent tasks (default: 5)
parallel_execution: true # Enable parallel task execution
timeouts:
task_timeout: 300 # Seconds per task (default: 300)
workflow_timeout: 3600 # Max duration for entire workflow (default: 3600)
retry:
max_attempts: 3 # Max retry attempts (default: 3)
Disable for Testing
overlord:
workflow:
auto_decomposition: false # Force single-agent mode
Task Types
Sequential Tasks
Tasks that must run in order:
Task 1: Fetch data
โ
Task 2: Process data (needs Task 1 output)
โ
Task 3: Generate report (needs Task 2 output)
Parallel Tasks
Tasks that can run simultaneously:
โโ Task 1: Research A
โโ Task 2: Research B
โโ Task 3: Research C
โ
All complete โ Task 4: Compare
Conditional Tasks
Tasks that depend on previous results:
Task 1: Check if user has credentials
โ
โโ Yes โ Task 2A: Use existing
โโ No โ Task 2B: Prompt for credentials
When Workflows Trigger
Automatic triggers:
- โ Multiple distinct steps mentioned
- โ Different domains/skills required
- โ Research + creation/analysis
- โ Multiple output artifacts
- โ Time-consuming operations
Examples:
โ
"Research and write blog post" โ Workflow
โ
"Analyze codebase and create report" โ Workflow
โ
"Search docs, find answer, create ticket" โ Workflow
โ
"Compare 3 products and recommend best" โ Workflow
โ "What's the weather?" โ Single agent
โ "Explain this code" โ Single agent
โ "Search for information" โ Single agent
Benefits
1. Automatic Orchestration
No manual coordination needed - MUXI handles everything.
2. Parallel Execution
Independent tasks run simultaneously, reducing total time:
Sequential: 5 tasks ร 10s = 50s total
Parallel: 5 tasks โ 10s total (all at once)
3. Intelligent Routing
Each task goes to the most capable agent.
4. Error Recovery
Failed tasks retry automatically, partial results still useful.
5. Consistent Results
Same workflow structure for similar requests.
Comparison with SOPs
| Feature | Workflows | SOPs |
|---|---|---|
| Trigger | Automatic (complexity score) | Manual (keyword match) |
| Definition | AI-generated on-the-fly | Pre-defined template |
| Flexibility | Adapts to request | Fixed structure |
| Use case | One-off complex tasks | Repeatable processes |
When to use workflows:
- New, complex requests
- Ad-hoc analysis
- Creative projects
When to use SOPs:
- Repeatable processes
- Standardized workflows
- Compliance requirements
Advanced: Workflow Routing
Configure how tasks are routed to agents:
overlord:
workflow:
routing_strategy: "capability_based" # Default: match task to agent capabilities
# Other strategies: load_balanced, priority_based, round_robin, specialized
enable_agent_affinity: true # Prefer agents that succeeded with similar tasks
Performance Optimization
Adjust Timeouts
overlord:
workflow:
timeouts:
task_timeout: 600 # Longer timeout for complex tasks
workflow_timeout: 7200 # Max duration for entire workflow (2 hours)
Control Parallelism
overlord:
workflow:
parallel_execution: true # Enable parallel execution
max_parallel_tasks: 3 # Reduce if hitting rate limits (default: 5)
Configure Retries
overlord:
workflow:
retry:
max_attempts: 5 # More retries for flaky operations (default: 3)
initial_delay: 1.0 # Seconds before first retry (default: 1.0)
max_delay: 60.0 # Max retry delay (default: 60.0)
backoff_factor: 2.0 # Exponential backoff multiplier (default: 2.0)
Debugging Workflows
Enable detailed logging:
Configure logging streams to capture workflow details (see Logging Configuration for more options).
Output:
[WORKFLOW] Created workflow for request req_abc123
[WORKFLOW] Task 1: research (researcher) - no dependencies
[WORKFLOW] Task 2: research (researcher) - no dependencies
[WORKFLOW] Task 3: analyze (analyst) - depends on [1, 2]
[WORKFLOW] Executing Task 1 and Task 2 in parallel
[WORKFLOW] Task 1 completed in 3.2s
[WORKFLOW] Task 2 completed in 4.1s
[WORKFLOW] Executing Task 3 (dependencies met)
[WORKFLOW] Task 3 completed in 2.8s
[WORKFLOW] Workflow completed in 7.3s total
Best Practices
DO:
- โ Let MUXI handle decomposition automatically
- โ Set reasonable timeouts (balance speed vs completion)
- โ Monitor workflow performance in production
- โ Adjust complexity threshold based on your use case
- โ Use default values unless you have specific performance needs
DON'T:
- โ Disable
auto_decompositionin production (only for testing) - โ Set
task_timeouttoo low (causes premature failures) - โ Set
max_parallel_taskstoo high (can hit API rate limits) - โ Manually orchestrate tasks (MUXI does this automatically)
Learn More
- Agent Formation Schema - Official formation schema specification
- The Overlord - How orchestration works
- Human-in-the-Loop - Plan approval workflow
- Workflow Configuration Reference - Complete workflow settings
- Request Lifecycle - See workflows in action