Workflow & Agent Configuration
Topology parameters, tool call density & caching model
Single ReAct
Thought → Action → Obs
Orchestrator
Hub & Worker Spoke
Peer Swarm
Consensus / Hand-offs
DAG Pipeline
Sequential Stages
$3.00 / $15.00 per 1M
6 Turns
1 Turn (Direct)
10 Turns (Medium)
20 Turns (Autonomous Swarm)
3,500 Tokens
System instructions, JSON tool schemas (Model Context Protocol), and behavioral guardrails.
1,200 Tokens
Token payload returned by MCP tools (SQL result sets, browser HTML DOM, file view outputs).
80% Reused
Percentage of prior turns and system instructions served from cached KV RAM (up to 90% cost reduction).
Systems Telemetry & Economics
Compounding context burn, cumulative cost & execution wall-clock
Cumulative Context Burn
44,700
Total tokens across 6 turns
Final Turn Context Length
11,300 tok
Context window footprint
Cost per Task Run
$0.0482
Saved $0.086 via prompt caching
10k Runs Monthly Budget
$482.00
Enterprise production run-rate
Compounding Context Accumulation Per Turn
Cached vs. New Tokens
Model Context Protocol (MCP) Wire Frame
JSON-RPC 2.0
Systems Topology Matrix
Multi-Agent Architectures Compared: Tokens, Latency & Failure Modes
| Topology Pattern | Context Compounding | Fault Isolation | Token Efficiency | Wall-Clock Latency | Best Production Use Case |
|---|---|---|---|---|---|
| Single ReAct Loop | Quadratic $O(N^2)$ accumulation | Low (Single loop failure derails task) | High for short tasks (≤5 turns) | Sequential ($N imes ext{step}$) | CLI tools, data queries, file edits |
| Orchestrator-Workers | Linear $O(N)$ (Subagents branch context) | High (Worker errors trapped & retried) | Very High (Isolated subagent histories) | Parallel speedup on branched steps | Complex codebase refactors, research |
| Autonomous Swarm | Linear-Quadratic with hand-offs | Medium (Runaway loops require hard caps) | Variable (High burn without pruning) | High (Inter-agent communication overhead) | Peer review, adversary red-teaming |
| Pipeline DAG | Strictly bounded (Structured hand-off) | Maximum (Stage checkpoints & rollback) | Maximum (Only summaries passed forward) | Deterministic per stage pipeline | Document ingestion, ETL, compliance |
University-Grade Academy Modules
Foundations & Production Architecture for Autonomous Agents
Level 509 • Standard Specification
Model Context Protocol (MCP): JSON-RPC 2.0 & Schema Architecture
Detailed breakdown of the open standard connecting LLMs to external data and tools: client-server lifecycles, JSON-RPC 2.0 payloads, tools/call, resources/read, and SSE transports.
Level 510 • Architecture Patterns
Multi-Agent Topologies: ReAct, Orchestration & Swarm Consensus
Analyzing mathematical trade-offs between centralized orchestrator-workers, decentralized peer swarms, hierarchical planning, and consensus protocols in complex problem solving.
Level 511 • Safety & Governance
Deterministic Agent Guardrails: State Machines & Interception
Enforcing provable safety guarantees on non-deterministic LLMs: state machine transitions, reversible actions, financial tripwires, and human-in-the-loop (HITL) break points.
Playbook A9 • Production Field Guide
Production Agent State: Thread Checkpointing & Memory Stores
Architecting robust production storage for long-running agents: transactional thread checkpointing, time-travel step replay, SQLite event logs, and hybrid vector memory stores.