DLS_2.0 EXPANSION

AI + SaaS Module // Components 21-40 // Build 8893

[A] Generative Input & Controls

C_21 // PROMPT_MATRIX
Tokens: 142 Cost: $0.002
GPT-4-TURBO
C_22 // MODEL_SELECTOR
Claude 3.5 Sonnet
CTX: 200k // $3/M
C_23 // INGEST_DROPZONE
Upload Corpus
PDF, TXT, MD (Max 50MB)
C_24 // PARAM_TUNER
TEMPERATURE 0.7
TOP_P 1.0
C_25 // CTX_VISUALIZER
Memory Load 84%
108k / 128k Tokens

[B] Output & Visualization

C_26 // STREAM_OUTPUT

>> The architectural paradigm of the system relies on modularity. By decoupling the interface from the logic, we achieve higher throughput.

Awaiting further instructions

C_27 // JSON_TREE
{
"id": "evt_992",
"confidence": 0.98,
"nodes": [
12, 44, 91
]
}
C_28 // CONF_BADGE
99.9% CERTIFIED
72.4% HALLUCINATION RISK
C_29 // DIFF_VIEWER
- OLD

const rate = 1.5;

+ NEW

const rate = 2.0;

C_30 // CITATION
According to the report [1]
SOURCE_ID: 8821
Q3 Financial Statements_Final.pdf
Pg 42, Para 3

[C] Infrastructure & Billing

C_31 // CMD_PALETTE
ESC
Create New Agent
CMD + N
Settings
C_32 // DATA_GRID
Request_ID Timestamp Latency Status Cost
req_8829a 2024-10-24 14:02:11 142ms COMPLETE $0.004
req_8829b 2024-10-24 14:02:12 98ms COMPLETE $0.001
C_33 // KEY_VAULT
sk-proj-••••••••••••••
C_34 // USAGE_GRAPH
$500 Limit
Oct 1
$412
C_35 // CREDIT_TOPUP

[D] Navigation & Feedback

C_36 // STEP_SEQ
Processing...
C_37 // TOAST_MSG
Export Complete
200 OK // 45ms
C_38 // SCAN_LOADER
C_39 // RAIL_NAV
A
Dashboard
C_40 // NULL_STATE
[NO_DATA_FOUND]
Initialize New Project