Document Purpose: This document provides a comprehensive specification of Fluxio—the agent runtime and execution platform that transforms decisions into actions. Fluxio is not just a workflow engine, not just an integration layer, not just an agent framework. Fluxio is the action substrate that makes agentic AI real—executing, coordinating, learning, and evolving.
Created: January 2026
Status: Conceptual Architecture & Implementation Specification
Fluxio is the agent runtime—the component where AI agents actually execute and where decisions become actions in the real world.
While Archer orchestrates, ODIE reasons, and Cogniscient remembers, Fluxio does.
Fluxio embodies the "do" in "read, decide, and do." It's where intelligence meets reality.
This means:
┌─────────────────────────────────────────────────────────────────────┐
│ ARCHER: "What should we do and when?" │
│ (Orchestration, UX, engagement) │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ ODIE: "Why should we do it and what outcome do we expect?" │
│ (Reasoning, outcomes, prioritization) │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ FLUXIO: "How do we do it and did it work?" │
│ (Execution, integration, learning) │
└─────────────────────────────────────────────────────────────────────┘
Fluxio is explicitly not responsible for:
Fluxio is responsible for:
Fluxio operates under strict governance:
┌─────────────────────────────────────────────────────────────────────┐
│ AUTONOMY MATURITY LADDER │
└─────────────────────────────────────────────────────────────────────┘
Level 0: OBSERVE ONLY
│ Fluxio can observe but not act
│ All actions require human execution
│
Level 1: DRAFT
│ Fluxio can prepare actions
│ Human must review and execute
│
Level 2: RECOMMEND
│ Fluxio can recommend with one-click execution
│ Human approval required
│
Level 3: EXECUTE WITH APPROVAL
│ Fluxio can execute after explicit approval
│ Approval may be pre-configured for routine actions
│
Level 4: NARROW AUTONOMY (rare)
│ Fluxio can execute specific, well-defined actions
│ Within strict guardrails and limits
│ Full audit trail
│
Level 5: BROAD AUTONOMY (future, rare)
│ Fluxio can execute complex actions autonomously
│ With comprehensive governance
│ Human oversight but not per-action approval
Most production deployments operate at Level 2-3.
┌─────────────────────────────────────────────────────────────────────┐
│ FLUXIO ARCHITECTURE │
└─────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────┐
│ API LAYER │
│ REST + WebSocket + Event Streams │
│ Authentication, Authorization, Rate Limiting │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ ORCHESTRATION LAYER │
│ Request routing, task decomposition, workflow coordination │
│ Integration with Librarian for resource selection │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ AGENT RUNTIME │
│ Agent lifecycle management, execution environment │
│ Tool binding, context injection, result capture │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ TOOL REGISTRY │
│ Atomic tools, composite tools, MCP servers │
│ Interface contracts, capability discovery │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ CONNECTOR LAYER │
│ External system integrations │
│ Jira, Azure DevOps, GitHub, Slack, Email, CRM, ERP, etc. │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ WORKFLOW ENGINE │
│ n8n / Power Automate / Custom │
│ Automation execution, scheduling, monitoring │
└─────────────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────────────┐
│ GOVERNANCE LAYER │
│ Policy enforcement, approval routing, audit logging │
│ Rollback capability, error handling │
└─────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────┐
│ AGENT LIFECYCLE │
└─────────────────────────────────────────────────────────────────────┘
┌───────────┐
│ REGISTERED│ Agent definition exists in registry
└─────┬─────┘
│ deploy()
▼
┌───────────┐
│ DEPLOYED │ Agent ready to receive tasks
└─────┬─────┘
│ activate()
▼
┌───────────┐
│ ACTIVE │ Agent running, processing tasks
└─────┬─────┘
│
┌─────┴─────┐
│ │
▼ ▼
┌───────┐ ┌─────────┐
│PAUSED │ │COMPLETED│ Task finished
└───┬───┘ └─────────┘
│ resume()
▼
┌───────────┐
│ ACTIVE │
└─────┬─────┘
│ terminate()
▼
┌───────────┐
│ TERMINATED│ Agent stopped
└───────────┘
Agent:
# Identity
agent_id: string (unique identifier)
name: string (human-readable)
description: string (what this agent does)
version: semver (e.g., "1.2.3")
# Classification
type: task | conversational | monitoring | composite
category: string (domain classification)
tags: [strings] (searchable labels)
# Capabilities
capabilities: [capability_ids] (what this agent can do)
required_tools: [tool_ids] (tools this agent needs)
optional_tools: [tool_ids] (tools this agent can use if available)
# Configuration
model: string (which LLM to use)
system_prompt: string (base instructions)
temperature: number (creativity setting)
max_tokens: number (output limit)
# Context Requirements
required_context: [context_types] (what context must be provided)
optional_context: [context_types] (what context can enhance performance)
# Execution
timeout_seconds: number (max execution time)
retry_policy: object (how to handle failures)
concurrency_limit: number (max parallel executions)
# Governance
approval_required: boolean (needs human approval before execution)
approval_roles: [roles] (who can approve)
audit_level: minimal | standard | detailed
# Performance
expected_latency_ms: number
expected_cost_per_call: number
# Lifecycle
status: draft | active | deprecated | retired
created_at: timestamp
updated_at: timestamp
owner: string (who maintains this agent)
┌─────────────────────────────────────────────────────────────────────┐
│ AGENT EXECUTION FLOW │
└─────────────────────────────────────────────────────────────────────┘
1. RECEIVE REQUEST
│ From Archer, another agent, or external caller
│ Includes: task specification, context, constraints
│
2. VALIDATE REQUEST
│ Check permissions
│ Validate inputs against schema
│ Verify required context is present
│
3. CHECK GOVERNANCE
│ Does this require approval?
│ Is approval already granted?
│ Are policies satisfied?
│
4. ASSEMBLE CONTEXT
│ Request context from Cogniscient
│ Inject relevant history and state
│ Bind required tools
│
5. EXECUTE AGENT
│ Run agent logic (LLM + tools)
│ Handle tool calls
│ Manage conversation/reasoning loop
│
6. CAPTURE RESULTS
│ Record outputs
│ Log tool usage
│ Note any errors or anomalies
│
7. APPLY EFFECTS
│ Execute side effects (if any)
│ Update external systems
│ Trigger downstream actions
│
8. REPORT COMPLETION
│ Return results to caller
│ Send feedback to Librarian
│ Update Cogniscient with execution record
A core principle from agent-native architecture: tools should be atomic primitives. Judgment belongs in the agent/prompt, not bundled into tools. Fluxio serves as the home for the shared tool library that all components can use.
These atomic primitives appear across multiple components and form the foundation of the shared library:
# ═══════════════════════════════════════════════════════════════════════
# FILE & DOCUMENT OPERATIONS
# ═══════════════════════════════════════════════════════════════════════
read_file:
description: Read contents of a file
inputs: [path, encoding?]
outputs: [content, metadata]
side_effects: false
write_file:
description: Write content to a file
inputs: [path, content, encoding?, mode?]
outputs: [success, bytes_written]
side_effects: true
delete_file:
description: Delete a file
inputs: [path]
outputs: [success]
side_effects: true
move_file:
description: Move or rename a file
inputs: [source_path, destination_path]
outputs: [success, new_path]
side_effects: true
copy_file:
description: Copy a file
inputs: [source_path, destination_path]
outputs: [success, new_path]
side_effects: true
list_directory:
description: List contents of a directory
inputs: [path, recursive?, filter?]
outputs: [entries]
side_effects: false
parse_document:
description: Extract structured content from a document
inputs: [content, format]
outputs: [structured_content, metadata]
side_effects: false
chunk_content:
description: Break content into smaller segments
inputs: [content, strategy, max_size?]
outputs: [chunks]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# ENTITY & RELATIONSHIP (Cogniscient Primitives)
# ═══════════════════════════════════════════════════════════════════════
create_entity:
description: Create a new entity in the knowledge graph
inputs: [type, name, properties, relationships?]
outputs: [entity_id, created]
side_effects: true
read_entity:
description: Retrieve an entity by ID
inputs: [entity_id, include_relationships?]
outputs: [entity]
side_effects: false
update_entity:
description: Update entity properties
inputs: [entity_id, properties]
outputs: [entity, updated]
side_effects: true
delete_entity:
description: Delete an entity
inputs: [entity_id, cascade?]
outputs: [success, affected_relationships]
side_effects: true
search_entities:
description: Search for entities matching criteria
inputs: [query, types?, filters?, limit?]
outputs: [entities, total_count]
side_effects: false
create_relationship:
description: Create a relationship between entities
inputs: [source_id, target_id, type, properties?]
outputs: [relationship_id]
side_effects: true
query_relationships:
description: Query relationships from an entity
inputs: [entity_id, types?, direction?, depth?]
outputs: [relationships]
side_effects: false
traverse_graph:
description: Traverse the knowledge graph following a pattern
inputs: [start_id, pattern, max_depth?, filters?]
outputs: [paths, entities]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# EMBEDDING & SEMANTIC SEARCH
# ═══════════════════════════════════════════════════════════════════════
generate_embedding:
description: Generate vector embedding for content
inputs: [content, model?]
outputs: [embedding, dimensions]
side_effects: false
semantic_search:
description: Search by semantic similarity
inputs: [query, collection?, limit?, threshold?]
outputs: [results_with_scores]
side_effects: false
similarity_match:
description: Find items similar to a given item
inputs: [item_id, collection?, limit?]
outputs: [similar_items]
side_effects: false
cluster_items:
description: Cluster items by semantic similarity
inputs: [item_ids, num_clusters?]
outputs: [clusters]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# OUTCOME & SIGNAL (ODIE Primitives)
# ═══════════════════════════════════════════════════════════════════════
create_outcome:
description: Create a new outcome definition
inputs: [name, description, desired_state, constraints?]
outputs: [outcome_id]
side_effects: true
read_outcome:
description: Get outcome by ID
inputs: [outcome_id]
outputs: [outcome]
side_effects: false
update_outcome_state:
description: Update the current state of an outcome
inputs: [outcome_id, current_state, progress?]
outputs: [outcome, delta]
side_effects: true
score_opportunity:
description: Calculate opportunity score for an outcome
inputs: [outcome_id] OR [importance, satisfaction]
outputs: [opportunity_score, interpretation]
side_effects: false
record_signal:
description: Record a new signal observation
inputs: [source, type, value, confidence?]
outputs: [signal_id]
side_effects: true
link_signal_to_outcome:
description: Link a signal to an outcome
inputs: [signal_id, outcome_id, relationship_type?]
outputs: [success]
side_effects: true
create_belief:
description: Create a new belief/assumption
inputs: [statement, confidence, supporting_evidence?]
outputs: [belief_id]
side_effects: true
revise_belief:
description: Update belief based on new evidence
inputs: [belief_id, new_evidence, direction]
outputs: [belief, confidence_delta]
side_effects: true
evaluate_action_hypothesis:
description: Evaluate expected outcome delta for an action
inputs: [action_spec, outcome_ids]
outputs: [expected_deltas, confidence, risks]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# INTEGRATION & CONNECTOR
# ═══════════════════════════════════════════════════════════════════════
connect_source:
description: Establish connection to external source
inputs: [connector_id, credentials, config?]
outputs: [connection_id, status]
side_effects: true
fetch_object:
description: Fetch object from connected source
inputs: [connection_id, object_type, object_id]
outputs: [object, metadata]
side_effects: false
push_update:
description: Push update to connected source
inputs: [connection_id, object_type, object_id, changes]
outputs: [success, updated_object]
side_effects: true
subscribe_to_changes:
description: Subscribe to change notifications
inputs: [connection_id, object_type, filter?, callback]
outputs: [subscription_id]
side_effects: true
unsubscribe:
description: Cancel a subscription
inputs: [subscription_id]
outputs: [success]
side_effects: true
query_source:
description: Query connected source
inputs: [connection_id, query, params?]
outputs: [results]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# WORKFLOW & EXECUTION
# ═══════════════════════════════════════════════════════════════════════
execute_step:
description: Execute a single workflow step
inputs: [step_spec, context, inputs]
outputs: [result, duration_ms]
side_effects: varies
check_condition:
description: Evaluate a condition expression
inputs: [condition, context]
outputs: [result, explanation]
side_effects: false
route_approval:
description: Route an action for approval
inputs: [action_spec, approvers, urgency?]
outputs: [approval_id, status]
side_effects: true
check_approval_status:
description: Check status of an approval request
inputs: [approval_id]
outputs: [status, decided_by?, decision_time?]
side_effects: false
log_audit:
description: Log an audit entry
inputs: [action, actor, target, details]
outputs: [audit_id]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# COMMUNICATION & ENGAGEMENT
# ═══════════════════════════════════════════════════════════════════════
create_nudge:
description: Create a nudge for delivery
inputs: [message, recipient, urgency?, actions?]
outputs: [nudge_id]
side_effects: true
deliver_nudge:
description: Deliver a nudge via channel
inputs: [nudge_id, channel]
outputs: [delivery_id, status]
side_effects: true
send_message:
description: Send a message via channel
inputs: [channel, recipient, content, format?]
outputs: [message_id, status]
side_effects: true
record_feedback:
description: Record user feedback
inputs: [subject_type, subject_id, feedback_type, content]
outputs: [feedback_id]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# RESOURCE & LIBRARY (Librarian Primitives)
# ═══════════════════════════════════════════════════════════════════════
register_resource:
description: Register a new resource with the Librarian
inputs: [resource_definition]
outputs: [resource_id, status]
side_effects: true
query_resource:
description: Get resource details
inputs: [resource_id]
outputs: [resource, performance_profile]
side_effects: false
recommend_resource:
description: Get recommendation for capability
inputs: [capability, context?]
outputs: [recommended, alternatives, scores]
side_effects: false
submit_feedback:
description: Submit execution feedback for scoring
inputs: [resource_id, execution_id, metrics, outcome]
outputs: [acknowledged, score_impact]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# COMPUTE & TRANSFORM
# ═══════════════════════════════════════════════════════════════════════
execute_code:
description: Execute code in sandboxed environment
inputs: [code, language, timeout?]
outputs: [result, stdout, stderr]
side_effects: varies
transform_data:
description: Transform data according to specification
inputs: [data, transformation_spec]
outputs: [transformed_data]
side_effects: false
validate_schema:
description: Validate data against schema
inputs: [data, schema]
outputs: [valid, errors]
side_effects: false
format_output:
description: Format data for specific output type
inputs: [data, format, template?]
outputs: [formatted]
side_effects: false
From the Every.to framework, these principles govern tool design:
ATOMIC: Each tool does ONE conceptual thing. No bundled judgment or multi-step logic. Composable with other tools.
JUDGMENT-FREE: Tools don't decide IF to do something. Tools don't decide WHICH path to take. Judgment belongs in agent prompts.
PRIMITIVE-FIRST: Start with pure primitives (read, write, create, delete). Add domain tools only as patterns emerge. Keep primitives available even after adding shortcuts.
PARITY: Whatever UI can do, agent can do via tools. No orphaned capabilities. Agent is first-class citizen.
| Wrong | Why It's Wrong | Right Approach |
|---|---|---|
analyze_and_organize_files(files) | Bundles analysis + organization + judgment | read_file() + transform_data() + write_file() — Agent decides what to analyze and how to organize |
smart_email_response(thread) | Bundles reading + analysis + composition + judgment | fetch_object() + semantic_search() + send_message() — Agent assembles context and composes response |
auto_prioritize_tasks(tasks) | Bundles evaluation + scoring + judgment | read_entity() + score_opportunity() + update_entity() — Agent applies its own prioritization logic |
intelligent_document_summary(doc) | Bundles parsing + analysis + summarization | parse_document() + chunk_content() + LLM reasoning — Agent controls summarization approach |
The key insight: Tools provide capability, agents provide judgment. When you bundle judgment into tools, you lose the composability and emergent capability that makes agent-native systems powerful.
Each tool in the registry follows this schema:
Tool:
# Identity
tool_id: string (unique identifier)
name: string (human-readable)
description: string (what this tool does)
version: semver
# Classification
type: atomic | composite | agent | mcp
category: string (taxonomy classification)
tags: [strings]
# Interface Contract
inputs:
- name: string
type: data_type
required: boolean
description: string
default: value (if optional)
outputs:
- name: string
type: data_type
description: string
errors:
- code: string
description: string
recoverable: boolean
# Behavior
side_effects: boolean (does it change external state?)
idempotent: boolean (safe to retry?)
reversible: boolean (can effects be undone?)
# Governance
permission_required: string
audit_level: none | basic | detailed
# Performance
expected_latency_ms: number
timeout_ms: number
In addition to hosting the shared library, Fluxio exposes its own atomic primitives for runtime operations:
# ═══════════════════════════════════════════════════════════════════════
# AGENT LIFECYCLE TOOLS
# ═══════════════════════════════════════════════════════════════════════
deploy_agent:
description: Deploy an agent definition to the runtime
inputs: [agent_definition]
outputs: [agent_id, status]
side_effects: true
start_agent:
description: Activate a deployed agent
inputs: [agent_id, config?]
outputs: [instance_id, status]
side_effects: true
stop_agent:
description: Stop a running agent instance
inputs: [instance_id, graceful?]
outputs: [status, final_state]
side_effects: true
pause_agent:
description: Pause agent execution
inputs: [instance_id]
outputs: [status, checkpoint]
side_effects: true
resume_agent:
description: Resume paused agent
inputs: [instance_id, checkpoint?]
outputs: [status]
side_effects: true
get_agent_status:
description: Get current status of agent instance
inputs: [instance_id]
outputs: [status, metrics, current_task?]
side_effects: false
list_agents:
description: List agents matching criteria
inputs: [status?, type?, tags?]
outputs: [agents]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# TASK EXECUTION TOOLS
# ═══════════════════════════════════════════════════════════════════════
submit_task:
description: Submit a task for execution
inputs: [agent_id, task_spec, context?, priority?]
outputs: [task_id, queue_position]
side_effects: true
get_task_status:
description: Get status of a submitted task
inputs: [task_id]
outputs: [status, progress?, result?]
side_effects: false
cancel_task:
description: Cancel a pending or running task
inputs: [task_id, reason?]
outputs: [success, final_status]
side_effects: true
retry_task:
description: Retry a failed task
inputs: [task_id, modified_inputs?]
outputs: [new_task_id]
side_effects: true
get_task_result:
description: Get result of completed task
inputs: [task_id]
outputs: [result, metrics, logs?]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# WORKFLOW TOOLS
# ═══════════════════════════════════════════════════════════════════════
create_workflow:
description: Create a new workflow definition
inputs: [workflow_definition]
outputs: [workflow_id]
side_effects: true
trigger_workflow:
description: Trigger workflow execution
inputs: [workflow_id, trigger_data?]
outputs: [run_id, status]
side_effects: true
get_workflow_run:
description: Get status of workflow run
inputs: [run_id]
outputs: [run_status, step_statuses, current_step?]
side_effects: false
pause_workflow:
description: Pause workflow execution
inputs: [run_id]
outputs: [status, checkpoint]
side_effects: true
resume_workflow:
description: Resume paused workflow
inputs: [run_id]
outputs: [status]
side_effects: true
cancel_workflow:
description: Cancel workflow run
inputs: [run_id, reason?]
outputs: [status, completed_steps]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# TOOL REGISTRY TOOLS
# ═══════════════════════════════════════════════════════════════════════
register_tool:
description: Register a new tool
inputs: [tool_definition]
outputs: [tool_id, status]
side_effects: true
get_tool:
description: Get tool definition
inputs: [tool_id]
outputs: [tool_definition]
side_effects: false
list_tools:
description: List available tools
inputs: [category?, capability?, tags?]
outputs: [tools]
side_effects: false
get_tool_schema:
description: Get tool input/output schema
inputs: [tool_id]
outputs: [inputs, outputs, errors]
side_effects: false
invoke_tool:
description: Invoke a tool directly
inputs: [tool_id, inputs, context?]
outputs: [result, metrics]
side_effects: varies
deprecate_tool:
description: Mark tool as deprecated
inputs: [tool_id, replacement_id?, sunset_date?]
outputs: [status]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# CONNECTOR MANAGEMENT TOOLS
# ═══════════════════════════════════════════════════════════════════════
register_connector:
description: Register a new connector
inputs: [connector_definition]
outputs: [connector_id]
side_effects: true
configure_connector:
description: Configure connector credentials/settings
inputs: [connector_id, config]
outputs: [status]
side_effects: true
test_connector:
description: Test connector connectivity
inputs: [connector_id]
outputs: [status, latency_ms, capabilities]
side_effects: false
get_connector_status:
description: Get connector health status
inputs: [connector_id]
outputs: [status, last_check, metrics]
side_effects: false
list_connectors:
description: List available connectors
inputs: [type?, status?]
outputs: [connectors]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# WORK ITEM TOOLS
# ═══════════════════════════════════════════════════════════════════════
create_work_item:
description: Create a new work item
inputs: [type, title, description, properties?]
outputs: [work_item_id]
side_effects: true
update_work_item:
description: Update work item properties
inputs: [work_item_id, changes]
outputs: [work_item]
side_effects: true
link_work_items:
description: Create link between work items
inputs: [source_id, target_id, link_type]
outputs: [success]
side_effects: true
export_work_items:
description: Export work items to external system
inputs: [work_item_ids, target_connector, target_project]
outputs: [export_results]
side_effects: true
import_work_items:
description: Import work items from external system
inputs: [source_connector, source_query, mapping?]
outputs: [imported_items]
side_effects: true
# ═══════════════════════════════════════════════════════════════════════
# GOVERNANCE TOOLS
# ═══════════════════════════════════════════════════════════════════════
create_policy:
description: Create a governance policy
inputs: [policy_definition]
outputs: [policy_id]
side_effects: true
evaluate_policy:
description: Evaluate action against policies
inputs: [action_spec, context]
outputs: [allowed, violations?, required_approvals?]
side_effects: false
request_approval:
description: Create approval request
inputs: [action_spec, approvers, reason, urgency?]
outputs: [approval_id]
side_effects: true
record_approval_decision:
description: Record approval decision
inputs: [approval_id, decision, decided_by, notes?]
outputs: [status]
side_effects: true
get_audit_log:
description: Query audit log
inputs: [filters, time_range?, limit?]
outputs: [entries, total_count]
side_effects: false
# ═══════════════════════════════════════════════════════════════════════
# EXECUTION FEEDBACK TOOLS
# ═══════════════════════════════════════════════════════════════════════
record_execution:
description: Record execution metrics
inputs: [execution_id, executor_type, executor_id, metrics]
outputs: [recorded]
side_effects: true
compare_to_expected:
description: Compare actual outcome to expected
inputs: [execution_id, expected, actual]
outputs: [delta, analysis]
side_effects: false
submit_execution_feedback:
description: Submit full execution feedback
inputs: [feedback]
outputs: [acknowledged, score_updates]
side_effects: true
get_execution_history:
description: Get execution history for resource
inputs: [resource_id, time_range?, limit?]
outputs: [executions, summary_stats]
side_effects: false
Fluxio manages a registry of tools organized in a taxonomy:
┌─────────────────────────────────────────────────────────────────────┐
│ TOOL TAXONOMY │
└─────────────────────────────────────────────────────────────────────┘
ATOMIC TOOLS (Primitives)
│
├── File Operations
│ ├── read_file
│ ├── write_file
│ ├── delete_file
│ ├── list_directory
│ └── move_file
│
├── Data Operations
│ ├── query_database
│ ├── insert_record
│ ├── update_record
│ └── delete_record
│
├── Communication
│ ├── send_email
│ ├── send_message
│ ├── create_notification
│ └── schedule_meeting
│
├── Integration
│ ├── api_call
│ ├── webhook_trigger
│ └── event_publish
│
└── Compute
├── execute_code
├── transform_data
└── generate_embedding
COMPOSITE TOOLS (Combinations)
│
├── Document Processing
│ └── Uses: read_file + transform_data + write_file
│
├── Report Generation
│ └── Uses: query_database + transform_data + send_email
│
└── Approval Workflow
└── Uses: create_notification + wait_for_response + update_record
AGENT TOOLS (Other Agents as Tools)
│
├── Summarization Agent
├── Classification Agent
├── Code Review Agent
└── Query Builder Agent
MCP SERVERS (External Tool Providers)
│
├── GitHub MCP Server
├── Slack MCP Server
├── Database MCP Server
└── Custom MCP Servers
Tool:
# Identity
tool_id: string (unique identifier)
name: string (human-readable)
description: string (what this tool does)
version: semver
# Classification
type: atomic | composite | agent | mcp
category: string (taxonomy classification)
tags: [strings]
# Interface Contract
inputs:
- name: string
type: data_type
required: boolean
description: string
schema: json_schema (for complex types)
default: value (if optional)
outputs:
- name: string
type: data_type
description: string
schema: json_schema
errors:
- code: string
description: string
recoverable: boolean
# Execution
execution_mode: sync | async
timeout_ms: number
retry_policy:
max_retries: number
backoff: linear | exponential
# Dependencies
requires: [tool_ids] (must be available)
conflicts_with: [tool_ids] (cannot use together)
# Governance
permission_required: string (what permission user needs)
audit_level: none | basic | detailed
side_effects: boolean (does it change external state?)
reversible: boolean (can effects be undone?)
# Performance (from Librarian)
performance_profile:
avg_latency_ms: number
success_rate: percentage
cost_per_call: number
# Lifecycle
status: active | deprecated | unavailable
deprecated_by: tool_id (if deprecated)
sunset_date: timestamp (if deprecated)
When an agent needs a tool, Fluxio:
Tool Discovery Flow:
1. CAPABILITY REQUEST
Agent: "I need to send an email"
2. QUERY LIBRARIAN
Fluxio → Librarian: "Best tool for email sending?"
Librarian → Fluxio: "send_email_v2 (score: 92)"
3. VERIFY AVAILABILITY
- Is tool registered and active?
- Does user have permission?
- Are dependencies satisfied?
4. BIND TOOL
- Inject tool into agent's available tools
- Provide interface contract
- Configure authentication/credentials
5. MONITOR USAGE
- Track invocations
- Measure performance
- Capture errors
6. REPORT FEEDBACK
Fluxio → Librarian: "Tool used, success, 234ms"
Fluxio can orchestrate complex multi-step workflows:
Workflow:
# Identity
workflow_id: string
name: string
description: string
version: semver
# Trigger
trigger:
type: manual | scheduled | event | condition
specification:
# For scheduled:
cron: string
# For event:
event_type: string
filter: object
# For condition:
condition: expression
# Steps
steps:
- step_id: string
name: string
type: tool | agent | workflow | decision | wait
# For tool/agent steps:
executor: tool_id or agent_id
inputs: object (parameter mapping)
# For decision steps:
condition: expression
branches:
- condition: expression
next_step: step_id
# For wait steps:
wait_for: approval | event | duration
timeout: duration
# Error handling
on_error: fail | retry | skip | branch
retry_config: object
# Dependencies
depends_on: [step_ids]
# Outputs
outputs:
- name: string
source: step_id.output_name
# Governance
approval_points: [step_ids] (steps requiring approval)
rollback_strategy: manual | automatic | none
# Metadata
owner: string
created_at: timestamp
status: draft | active | paused | deprecated
┌─────────────────────────────────────────────────────────────────────┐
│ WORKFLOW EXECUTION │
└─────────────────────────────────────────────────────────────────────┘
Start
│
▼
┌─────────┐
│ Step 1 │──────────────────────────────┐
│ (Agent) │ │
└────┬────┘ │
│ success │ failure
▼ ▼
┌─────────┐ ┌──────────┐
│ Step 2 │ │ Retry │
│ (Tool) │ │ Logic │
└────┬────┘ └────┬─────┘
│ │
▼ │ max retries
┌─────────┐ ▼
│ Step 3 │◀──────────────────── ┌──────────┐
│(Decision)│ │ Error │
└────┬────┘ │ Handler │
│ └──────────┘
├── condition A ──▶ Step 4
│
└── condition B ──▶ Step 5
│
▼
┌─────────┐
│ Step 6 │
│(Approval)│
└────┬────┘
│ approved
▼
┌─────────┐
│ Step 7 │
│ (Final) │
└────┬────┘
│
▼
End
Fluxio can use external workflow engines as the execution substrate:
Workflow Engine Integration:
n8n:
connection_type: API
capabilities:
- Visual workflow design
- 400+ integrations
- Self-hosted option
- Webhook triggers
use_cases:
- Complex integrations
- Data transformation pipelines
- Scheduled automations
Power Automate:
connection_type: Microsoft Graph API
capabilities:
- Microsoft 365 integration
- Enterprise governance
- Desktop automation (RPA)
use_cases:
- Office 365 workflows
- Enterprise approvals
- Desktop automation
Fluxio's Role:
- Translate Fluxio workflow definitions to engine-specific formats
- Trigger workflow execution
- Monitor execution status
- Capture results and errors
- Maintain unified view across engines
Connector:
# Identity
connector_id: string
name: string
description: string
version: semver
# Type
type: rest_api | graphql | database | file_system |
message_queue | webhook | custom
category: crm | erp | communication | storage |
development | analytics | custom
# Target System
system_name: string (e.g., "Salesforce", "Jira")
system_version: string (supported versions)
documentation_url: string
# Authentication
auth_methods:
- type: oauth2 | api_key | basic | bearer | custom
configuration: object
# Capabilities
capabilities:
- capability: read | write | delete | subscribe | admin
entities: [entity_types] (what this applies to)
# Rate Limiting
rate_limits:
requests_per_second: number
requests_per_day: number
concurrent_connections: number
# Health
health_check:
endpoint: string
interval_seconds: number
timeout_ms: number
# Lifecycle
status: active | degraded | unavailable | deprecated
last_health_check: timestamp
uptime_percentage: number
Every connector should implement:
Standard Operations:
# Discovery
list_entity_types():
Returns: Available entity types in this system
describe_entity(type):
Returns: Schema/structure for this entity type
# Read
search(entity_type, query, filters, pagination):
Returns: Matching entities
get(entity_type, id):
Returns: Single entity by ID
get_batch(entity_type, ids):
Returns: Multiple entities by ID
# Write
create(entity_type, data):
Returns: Created entity with ID
update(entity_type, id, changes):
Returns: Updated entity
upsert(entity_type, data, match_criteria):
Returns: Created or updated entity
# Delete
delete(entity_type, id):
Returns: Confirmation
# Subscribe (if supported)
subscribe(entity_type, filter, callback):
Returns: Subscription ID
get_changes(entity_type, since_timestamp):
Returns: Changed entities since timestamp
Tier 1 (MVP):
- Microsoft 365 (Outlook, Teams, SharePoint, OneDrive, Calendar)
- File System (local, network)
- HTTP/REST (generic API connector)
Tier 2 (Near-term):
- Jira / Azure DevOps / GitHub (project management)
- Salesforce / HubSpot / Dynamics (CRM)
- Slack (communication)
- PostgreSQL / MySQL (databases)
Tier 3 (Future):
- SAP / Oracle / NetSuite (ERP)
- Workday / BambooHR (HRIS)
- Snowflake / BigQuery (analytics)
- Custom enterprise systems
A flagship capability of Fluxio is transforming unstructured input into structured work items:
┌─────────────────────────────────────────────────────────────────────┐
│ WORK ITEM GENERATION │
└─────────────────────────────────────────────────────────────────────┘
Input: Meeting notes, email, transcript, or requirements doc
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ EXTRACTION │
│ - Identify requirements and requests │
│ - Extract acceptance criteria │
│ - Identify stakeholders and owners │
│ - Detect dependencies and constraints │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ STRUCTURING │
│ - Organize into hierarchy: Epic → Feature → Story → Task │
│ - Add acceptance criteria to each item │
│ - Estimate effort (optional) │
│ - Assign priorities │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ ENRICHMENT │
│ - Add Definition of Done │
│ - Link dependencies │
│ - Suggest assignees (based on Cogniscient) │
│ - Add labels and metadata │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ EXPORT │
│ - Push to Jira / Azure DevOps / GitHub Projects │
│ - Create in local project management │
│ - Export to standard format (CSV, JSON) │
└─────────────────────────────────────────────────────────────────────┘
WorkItem:
# Identity
work_item_id: string (internal)
external_id: string (in target system)
# Type
type: epic | feature | story | task | bug | spike
# Content
title: string
description: string (markdown supported)
acceptance_criteria: [strings]
definition_of_done: [strings]
# Hierarchy
parent_id: work_item_id
children: [work_item_ids]
# Planning
priority: critical | high | medium | low
estimated_effort: string (e.g., "3 points", "2 days")
target_sprint: string
target_release: string
# Assignment
assignee: person_id
reporter: person_id
stakeholders: [person_ids]
# Dependencies
depends_on: [work_item_ids]
blocks: [work_item_ids]
related_to: [work_item_ids]
# Metadata
labels: [strings]
components: [strings]
source: string (where this came from)
# Status
status: draft | ready | in_progress | review | done | cancelled
created_at: timestamp
updated_at: timestamp
Policy:
# Identity
policy_id: string
name: string
description: string
# Scope
scope:
applies_to: [agent_ids | tool_ids | workflow_ids | "*"]
users: [user_ids | role_ids | "*"]
conditions: object (when policy applies)
# Rules
rules:
- rule_id: string
type: require | forbid | limit | transform
# For require:
requires: string (what must be true)
# For forbid:
forbids: string (what must not happen)
# For limit:
limit:
metric: string
max_value: number
period: duration
# For transform:
transform:
input: expression
output: expression
# Enforcement
enforcement: strict | warn | log
violation_action: block | notify | escalate
# Lifecycle
status: active | disabled
effective_from: timestamp
effective_until: timestamp
ApprovalRequest:
# Identity
approval_id: string
# What Needs Approval
action_type: agent_execution | workflow_step | system_update |
automation_deploy | data_export
action_details: object
# Context
requestor: user_or_agent_id
reason: string
urgency: low | normal | high | critical
# Routing
approvers: [user_ids] (who can approve)
approval_rule: any | all | majority
escalation_after: duration
escalation_to: [user_ids]
# Deadline
requested_at: timestamp
expires_at: timestamp
# Status
status: pending | approved | rejected | expired | cancelled
decided_by: user_id
decided_at: timestamp
decision_notes: string
AuditEntry:
# Identity
audit_id: string
timestamp: timestamp
# Actor
actor_type: user | agent | system | workflow
actor_id: string
actor_context: object (session, request, etc.)
# Action
action_category: execute | create | update | delete | approve | export
action_type: string (specific action)
action_description: string
# Target
target_type: string (what kind of thing)
target_id: string
target_system: string (if external)
# Request
request_source: string (Archer, API, scheduled, etc.)
request_id: string (correlation ID)
# Details
inputs: object (what was provided)
outputs: object (what was returned)
duration_ms: number
# Outcome
result: success | failure | partial
error_code: string
error_message: string
# Governance
policies_evaluated: [policy_ids]
policies_violated: [policy_ids]
approval_id: string (if approval was involved)
# Reversibility
reversible: boolean
reversal_procedure: object
reversed_at: timestamp
reversed_by: string
Fluxio captures feedback on every execution to enable continuous improvement:
┌─────────────────────────────────────────────────────────────────────┐
│ LEARNING FEEDBACK LOOP │
└─────────────────────────────────────────────────────────────────────┘
Execution Completes
│
▼
┌───────────────────┐
│ Capture Metrics │
│ - Latency │
│ - Success/failure │
│ - Resource usage │
│ - Output quality │
└────────┬──────────┘
│
▼
┌───────────────────┐
│ Send to Librarian │
│ for scoring │
│ updates │
└────────┬──────────┘
│
▼
┌───────────────────┐
│ Store in │
│ Cogniscient for │
│ pattern analysis │
└────────┬──────────┘
│
▼
┌───────────────────┐
│ Compare to │
│ expected outcome │
│ (from ODIE) │
└────────┬──────────┘
│
▼
┌───────────────────┐
│ Identify │
│ improvement │
│ opportunities │
└───────────────────┘
ExecutionFeedback:
# Identity
feedback_id: string
execution_id: string
# What Executed
executor_type: agent | tool | workflow
executor_id: string
# Performance Metrics
metrics:
latency_ms: number
tokens_used: number
cost: number
memory_used: number
# Outcome
success: boolean
error_type: string (if failed)
output_quality: 0-100 (if measurable)
# Comparison to Expectation
expected_outcome: object (from ODIE)
actual_outcome: object
outcome_delta: number (how far from expected)
# User Feedback (if provided)
user_rating: 1-5
user_correction: object (what should have happened)
user_comments: string
# Context
context_factors:
- factor: string (e.g., "input_complexity")
value: string (e.g., "high")
# Timestamp
created_at: timestamp
Fluxio monitors for patterns that indicate improvement opportunities:
Pattern Types:
PERFORMANCE DEGRADATION:
Detection: Success rate or latency trending worse
Response: Alert, investigate, consider replacement
CONSISTENT FAILURE MODE:
Detection: Same error type recurring
Response: Add specific handling, update agent prompt
COST INEFFICIENCY:
Detection: High cost relative to outcome value
Response: Find cheaper alternative, optimize usage
UNDERUTILIZATION:
Detection: Capable resource rarely used
Response: Improve discovery, consider deprecation
OVERUTILIZATION:
Detection: Single resource handling too much
Response: Add capacity, find alternatives
CONTEXT CORRELATION:
Detection: Performance varies by context
Response: Update Librarian contextual scores
Archer Fluxio
│ │
│ "Execute: Send summary email │
│ to stakeholders about Project X" │
│──────────────────────────────────▶│
│ │ [Check governance]
│ │ [Query Librarian for best agent]
│ │ [Assemble context from Cogniscient]
│ │ [Execute agent]
│ │ [Agent uses email tool]
│ "Completed: Email sent to │
│ 5 recipients, all delivered" │
│◀──────────────────────────────────│
│ │
│ │ [Report feedback to Librarian]
│ │ [Log execution in Cogniscient]
ODIE Fluxio
│ │
│ "Expected outcome delta: +15 │
│ for sending this communication" │
│──────────────────────────────────▶│
│ │ [Store expectation]
│ │ [Execute action]
│ │ [Measure actual results]
│ "Actual delta: +12 │
│ (80% of expected)" │
│◀──────────────────────────────────│
│ │
│ [Update action hypothesis │
│ accuracy model] │
Fluxio Cogniscient
│ │
│ "Retrieve: Context for email │
│ about Project X" │
│──────────────────────────────────▶│
│ │
│ [Project X details, recent │
│ events, stakeholder list, │
│ communication history] │
│◀──────────────────────────────────│
│ │
│ [Execute with context] │
│ │
│ "Store: Execution record - │
│ email sent, recipients, time" │
│──────────────────────────────────▶│
Fluxio Librarian
│ │
│ "Need: Email sending capability │
│ for formal business communication"│
│──────────────────────────────────▶│
│ │
│ "Recommend: email_agent_v2 │
│ Score: 91, Confidence: high" │
│◀──────────────────────────────────│
│ │
│ [Execute with recommended agent] │
│ │
│ "Feedback: Execution successful, │
│ latency 1.2s, user satisfied" │
│──────────────────────────────────▶│
│ │ [Update scores]
# Deploy Agent
POST /agents/deploy
Request:
agent_definition: Agent
Response:
agent_id: string
status: deployed
# Execute Agent
POST /agents/{agent_id}/execute
Request:
task: object (what to do)
context: object (relevant context)
constraints: object (limits and policies)
Response:
execution_id: string
status: queued | running | completed | failed
result: object (if completed)
# Get Execution Status
GET /executions/{execution_id}
Response:
execution: full execution record
# List Agent Executions
GET /agents/{agent_id}/executions
Query: status, since, limit
Response:
executions: [execution summaries]
# Register Tool
POST /tools/register
Request:
tool_definition: Tool
Response:
tool_id: string
status: registered
# Execute Tool
POST /tools/{tool_id}/execute
Request:
inputs: object
context: object
Response:
result: object
execution_time_ms: number
# Get Tool Schema
GET /tools/{tool_id}/schema
Response:
inputs: [input_definitions]
outputs: [output_definitions]
errors: [error_definitions]
# Create Workflow
POST /workflows
Request:
workflow_definition: Workflow
Response:
workflow_id: string
# Trigger Workflow
POST /workflows/{workflow_id}/trigger
Request:
trigger_data: object
Response:
run_id: string
status: started
# Get Workflow Run
GET /workflows/runs/{run_id}
Response:
run: full run record with step statuses
# Approve Step
POST /workflows/runs/{run_id}/steps/{step_id}/approve
Request:
decision: approved | rejected
notes: string
Response:
step_status: updated status
# List Connectors
GET /connectors
Response:
connectors: [connector summaries]
# Get Connector Status
GET /connectors/{connector_id}/status
Response:
status: active | degraded | unavailable
last_health_check: timestamp
metrics: object
# Execute Connector Operation
POST /connectors/{connector_id}/execute
Request:
operation: string
params: object
Response:
result: object
Agent Runtime:
- LangChain / LangGraph (Python, mature ecosystem)
- AutoGen (Microsoft, multi-agent)
- CrewAI (role-based agents)
- Custom (maximum control)
Workflow Engine:
- n8n (open source, self-hosted, 400+ integrations)
- Temporal (durable execution, complex workflows)
- Apache Airflow (data pipelines)
- Power Automate (Microsoft ecosystem)
Message Queue:
- RabbitMQ (reliable, feature-rich)
- Apache Kafka (high throughput, streaming)
- Redis Streams (simple, fast)
- AWS SQS/SNS (managed)
Storage:
- PostgreSQL (execution records, metadata)
- Redis (caching, state)
- S3/Blob Storage (artifacts, logs)
For MVP, implement:
Skip for MVP:
Horizontal Scaling:
- Stateless agent execution (scale out workers)
- Queue-based distribution
- Partitioned by tenant/workflow
Performance:
- Cache tool schemas and agent definitions
- Connection pooling for connectors
- Async execution with webhooks
Reliability:
- Idempotent operations where possible
- Checkpointing for long workflows
- Dead letter queues for failed executions
- Circuit breakers for external systems
Fluxio is the agent runtime and execution platform—the component that transforms intelligence into action.
Key Characteristics:
Integration Role:
The Core Insight:
Fluxio embodies the "do" in "read, decide, and do." It's where intelligence meets reality.
Document created January 2026