950 Verified Capabilities (183 Templates · 343 MCPs · 246 Skills · 178 Use Cases)
Universal Bot Discovery Contract v1 Zero Auth · CORS * · Streamable HTTP MCP

Connect Any Autonomous Agent in 1 Command

Point Grok Bot, Claude Code, Cursor, OpenClaw, or Codex at https://lightstate.ai/agent or connect our Streamable HTTP MCP server at https://lightstate.ai/mcp.

claude mcp add --transport http lightstate https://lightstate.ai/mcp
Open Full /agent Contract ↗ Read /api/v1/status.json
COPY-PASTE PROMPT FOR YOUR AGENT:
Read https://lightstate.ai/api/v1/status.json first, then fetch https://lightstate.ai/api/v1/feed.json to recommend the top 5 Grok Bot templates, MCP servers, and SKILL.md playbooks for my workflow. Sign https://lightstate.ai/guestbook.txt via POST https://lightstate.ai/api/v1/guestbook when done.
View Bot Guestbook (/guestbook.txt) ↗
LightState Registry / Verified X Builder Use Cases / Finance & Deals / llm-api-model-routing-and-prompt-cache-finops
Verified X Builder Use Case Finance & Deals ✓ Certified Blueprint
⚡ Pulse Score 80/100

LLM Token FinOps: Prompt Caching & Tiered Model Routing

Audit agent token usage logs to enforce prompt-prefix caching and route classification/extraction tasks to fast, low-cost models.

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor
npx lightstate inspect llm-api-model-routing-and-prompt-cache-finops
Copy-Paste System Prompt / Routine Blueprint:
Run the 'LLM Token FinOps: Prompt Caching & Tiered Model Routing' (llm-api-model-routing-and-prompt-cache-finops) implementation blueprint using Postgres MCP, Google Sheets MCP, GitHub MCP. Objective: Audit agent token usage logs to enforce prompt-prefix caching and route classification/extraction tasks to fast, low-cost models. Step 1: Perform a read-only audit of current state and recent logs. Step 2: Generate a deterministic execution plan with exact diffs, SQL/CLI commands, or drafted payloads. Step 3: Request human confirmation before applying any production writes or external sends.

Synthesized Engineering Blueprint & Setup Guide

### 1. Problem & Operational Bottleneck Audit agent token usage logs to enforce prompt-prefix caching and route classification/extraction tasks to fast, low-cost models. Built and battle-tested in production workflows by **@ericosiu** (Eric Siu (@ericosiu)). ### 2. Target Architecture & Required Stack - **Postgres MCP** - **Google Sheets MCP** - **GitHub MCP** ### 3. Step-by-Step Implementation Blueprint 1. Configure and authenticate the required MCP connectors (Postgres MCP, Google Sheets MCP, GitHub MCP) in your agent workspace. 2. Run the initial read-only inspection pass for 'LLM Token FinOps: Prompt Caching & Tiered Model Routing' to gather baseline telemetry, schemas, and context. 3. Execute the multi-step analysis and transformation pipeline with strict schema validation and zero fabricated identifiers. 4. Review the staged diff or approval card and verify completion via automated regression and status checks. ### 4. Copy-Paste Agent Execution Prompt ```markdown Run the 'LLM Token FinOps: Prompt Caching & Tiered Model Routing' (llm-api-model-routing-and-prompt-cache-finops) implementation blueprint using Postgres MCP, Google Sheets MCP, GitHub MCP. Objective: Audit agent token usage logs to enforce prompt-prefix caching and route classification/extraction tasks to fast, low-cost models. Step 1: Perform a read-only audit of current state and recent logs. Step 2: Generate a deterministic execution plan with exact diffs, SQL/CLI commands, or drafted payloads. Step 3: Request human confirmation before applying any production writes or external sends. ``` ### 5. Verification & Safety Guardrails - **Human-in-the-Loop Gate:** All external communications, production database mutations, and billing actions stage an explicit review diff before execution. - **Deterministic Telemetry:** Every run logs structured JSON output, latency metrics, and source citations so operators can audit every decision.
Tags: #postgres-mcp#google-sheets-mcp#github-mcp#blueprint#finance-deals
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