FIG. A-01 — ATLAS DISTRIBUTED EXECUTION ARCHITECTURE
Technical schematic illustrating end-to-end task decomposition, agent routing, tool execution, memory store, and model dispatching.
Parses complex prompts into DAG execution graphs and dispatches sub-tasks to specialized agents.
Upstream: User Request Ingest
Downstream: Agent Layer & Model Router
Deterministic dispatch rules enforced by SHA-256 graph signatures.
A-02 / SYSTEM SPECIFICATION SCHEDULE
Engineering schedule detailing cluster service roles, latency constraints, revision identifiers, and current state.
| SERVICE ID | ROLE | STATE | LATENCY | REVISION | DEPENDENCY BOUND |
|---|---|---|---|---|---|
| ORCH-01 | TASK ROUTER & DECOMPOSITION BUS | ACTIVE | 42 MS | R08 | User Ingest → Agent Bus |
| MEM-02 | CONTEXT STORE & VECTOR INDEX | ACTIVE | 18 MS | R11 | Redis Vector DB / HNSW Index |
| EVAL-01 | RESPONSE REVIEW & VERIFICATION | ACTIVE | 78 MS | R05 | Deterministic Safety Gate |
| TOOL-04 | WEB SEARCH CONNECTOR | STANDBY | — | R03 | External Egress Proxy |
| TOOL-08 | CODE EXECUTION SANDBOX | ACTIVE | 124 MS | R09 | gVisor Isolated Runtime |
| ROUT-01 | MULTI-MODEL DISPATCH ROUTER | ACTIVE | 14 MS | R08 | Claude / OpenAI / Local API Proxy |
| AGENT-04 | RESEARCH & SYNTHESIS AGENT | ACTIVE | 310 MS | R07 | Multi-Turn Document Extraction |
B-01 / REAL-TIME REQUEST EXECUTION TRACE
Step-sequence trace showing an incoming user request moving through the ATLAS orchestration pipeline.
B-02 / CONTEXT WINDOW BUDGET ALLOCATION
Architectural linear dimension grammar representing context allocation bounds (128,000 Token Max Capacity).
Immutable safety rules, tool definitions, output schemas.
Prior turn interactions and user-provided uploaded files.
Vector database RAG chunks and external API results.
Agent execution scratchpad, intermediate reasoning steps.
Reserved token space for final synthesized output generation.
DETAIL C-04 / MULTI-MODEL ROUTER SCHEMATIC
Technical classification routing model classes based on task complexity, latency requirements, and context scale.
Optimized for low-latency classification, prompt triaging, schema validation, and simple routing logic.
Used for multi-step algorithmic planning, complex math, multi-turn synthesis, and research extraction.
Dedicated AST generation, refactoring, API integration payload writing, and gVisor sandbox execution.
Document diagram ingestion, CAD drawing analysis, spatial chart extraction, and OCR verification.
Full codebase ingestion, multi-document policy corpus scanning, and cross-file reference mapping over 1M+ token context windows.
C-02 / RECORD OF SYSTEM REVISIONS
Immutable architectural change record documenting policy updates, verification gates, and container parameters.
| REV | DATE | CHANGE DESCRIPTION | VERIFIED BY | HASH SIGNATURE |
|---|---|---|---|---|
| 08 | AUG 14, 2026 | ROUTING POLICY UPDATE — Lowered latency ceiling by 18% for Class 01 fast models. | SYSTEM AUTOMATION | e8f4a299c104 |
| 07 | AUG 02, 2026 | MEMORY PRIORITY MODEL — Introduced sliding HNSW index buffer for long-turn turns. | QA SAFETY TEAM | 44b78e12d3aa |
| 06 | JUL 21, 2026 | EVALUATION PATH — Enforced mandatory dual-pass verification gate on tool outputs. | SYSTEM AUTOMATION | 11c0903f7188 |
| 05 | JUL 04, 2026 | TOOL SANDBOX ISOLATION — Upgraded gVisor tool execution sandbox container parameters. | INFRASTRUCTURE | 77d901bc4421 |
D-01 / PRODUCT OVERVIEW & ARCHITECTURAL PHILOSOPHY
Software architecture documented as a working system blueprint.
What ATLAS Is
ATLAS is an enterprise AI systems architecture designed to coordinate multi-agent execution, vector context stores, tool microservices, and multi-model dispatching with absolute deterministic governance. Instead of relying on monolithic LLM prompts or unstructured chain scripts, ATLAS treats intelligence as a distributed network of specialized components.
Why Orchestration Matters
Modern enterprise applications cannot afford fragile, unpredictable model calls. Unstructured agent loops frequently suffer from context drift, infinite execution loops, and unverified data mutation. ATLAS enforces strict state boundaries between task planning (ORCH-01), agent execution, tool execution sandboxes, and response synthesis.
How Context Moves
Context is treated as an architectural resource with strict capacity budgets (Section B-02). Sliding vector memory caches, user interaction histories, and RAG document payloads are explicitly bounded to prevent token exhaustion and halluncinatory noise.
Separation of Verification
In ATLAS, no agent signs off on its own generated output. Execution agents (AGENT-04) generate payloads, but a separate, deterministic verification harness (EVAL-01) evaluates result accuracy, citation integrity, and safety bounds prior to output synthesis.