# Etch Labs — General Logistics Hybrid Agent > Single-file context for LLMs. Generated from demo docs, expert specs, and captured GLC traces. ## Overview This demo is a working example of what Etch Labs ships: **expert systems with a modern agent interface**. The chat feels like a frontier LLM agent — streaming thoughts, tool calls, structured handoffs — but the heavy lifting runs through deterministic Etch experts wired to real (mock) business APIs. **Etch** is the LLM-powered orchestrator you talk to. It interprets intent, chooses which expert to invoke, and narrates the result in plain language. **Experts** are separate programs built with the Etch SDK: fixed pipelines that call GLC microservices, aggregate data, and return auditable JSON. They stream the same UX primitives users expect from Claude or GPT — reasoning text, tool badges, progress metrics — without probabilistic generation inside the expert itself. ### What experts are good at - **Grounded lookups** — order status, invoice matching, inventory scans tied to live API records. - **Multi-step workflows** — procure-to-pay and morning ops brief chain dozens of tool calls with predictable ordering. - **Structured handoffs** — every expert returns JSON Etch can cite; nothing is invented. - **Speed at scale** — typical runs finish in under two seconds with thousands of tokens of streamed reasoning. - **Auditability** — expand any expert panel in chat and copy the full transcript; traces are reproducible. ### What experts are not Experts do not hallucinate facts they were not given — they cannot invent an order ID or invoice total. They *can* still make mistakes: bad source data, wrong parsing of an ambiguous email, or a business rule edge case the pipeline was not built for. The difference from an LLM is that every step is traceable and fixable in code rather than prompt-tuning roulette. ### Try it Use **New chat** and the quick pills — Order Tracking, Accounts Payable, Procurement, Operations, Sales — or paste your own request. Each pill triggers Etch, which delegates to the matching expert. Example quick-pill prompts: - Order Tracking: `Was my package delivered? My email is quinn.martinez.6066@example.com` - Accounts Payable: `Run a three-way match on supplier invoice INV-000001` - Procurement: `Run procure-to-pay: scan below reorder point, draft POs, review receiving exceptions, and three-way match open invoices. Give me a prioritized action plan.` - Operations: `Run my morning ops brief: scan order exceptions, check AP and procurement signals, and give me a prioritized action plan. Customer escalation from quinn.martinez.6066@example.com — was her package delivered?` - Sales: `Give me a sales brief: company KPIs, top 10 SKUs and states from the last 7 days, active promotions, and margin on top sellers.` - Customer History: `Customer history for quinn.martinez.6066@example.com` - Item Details: `What's pricing and stock on WDG-012?` - Margin Analysis: `Top products last 30 days with margin analysis — sample 5 pages` --- ## Two-layer architecture Production agents need two layers: a flexible front door for language, and a deterministic engine for operations that must not be wrong. ### Layer 1 — Etch (orchestrator) Etch is a small LLM-backed agent. Its job is narrow: understand what the user wants, pick the right tool, pass context, and write a human-readable answer from structured expert output. It should not compute margins, match invoices, or scan inventory itself — it delegates. In this demo Etch runs on a Novella-tier model. That adds latency and token cost to every turn, but the *expert* portion of the work — the part that touches money, inventory, and compliance — stays deterministic. ### Layer 2 — Etch SDK experts Each expert is a Python program: a graph of tools (GLC API calls, parsers, aggregators) with scripted reasoning strings emitted between steps. The Etch SDK streams those events so the UI renders them like LLM thoughts. When the expert finishes, it returns JSON (order facts, match verdicts, KPI tables) that Etch weaves into prose. ``` User message │ ▼ ┌─────────────┐ tool call ┌──────────────────┐ │ Etch │ ─────────────────► │ Expert (SDK) │ │ (LLM UI) │ ◄───────────────── │ deterministic │ └─────────────┘ JSON + trace └────────┬─────────┘ │ ▼ GLC microservices (orders, AP, inventory…) ``` ### Why split the layers? - **Language is fuzzy; operations are not.** Customers write messy emails. GLC invoice totals are exact. - **Trust boundaries.** Finance and ops teams need line-by-line traces, not "the model said so." - **Economics.** One LLM call to route and narrate beats twenty LLM calls to guess API payloads. The founding letter puts it simply: *the LLM is the editor; the expert is the engine.* --- ## Determinism vs LLMs Same user prompt, two architectures: a deterministic Etch expert grounded in GLC APIs versus asking Claude Opus to "figure it out" with general knowledge and brittle JSON guessing. ### What "deterministic" means here Given the same inquiry text and the same GLC database state, an expert follows the same tool sequence and produces the same structured output. Reasoning strings are templated from actual tool results — not sampled from a probability distribution. There is no invented order ID, invoice line, or stock count. Etch's orchestrator LLM *can* paraphrase or occasionally misread the expert JSON when writing the final reply. That is why experts return explicit handoff payloads and the UI lets you expand the expert monologue separately. ### Measured expert runs (this environment) | Scenario | Tool calls | Total tokens | Expert wall time | Throughput | |----------|------------|--------------|------------------|------------| | Order tracking | 4 | ~1,040 | ~90 ms | ~11,000 tok/s | | AP three-way match | 6 | ~1,110 | ~120 ms | ~9,000 tok/s | | Procure-to-pay | 14 | ~2,010 | ~430 ms | ~4,700 tok/s | | Sales margin (5 pages) | 4 | ~3,330 | ~1,060 ms | ~3,100 tok/s | Full chat turns also include Etch orchestration (often 15–30+ seconds) because the wrapper LLM connects, routes, and narrates. The expert portion above is the part you would run in production at scale without re-paying frontier token rates per API lookup. ### Expert vs Claude Opus (order-of-magnitude estimates) | Dimension | Etch SDK expert | Claude Opus (agentic) | |-----------|-----------------|------------------------| | Data grounding | Every fact from GLC API responses | Must be tool-wired; otherwise confabulates IDs, dates, totals | | Error rate on structured ops | Logic bugs only — reproducible, fix in code | Higher variance run-to-run; prompt-sensitive | | Expert / core compute time | 0.1–1.5 s | Often 20–60 s for multi-tool chains | | Employee wait cost | Sub-second core path | Tens of seconds × hourly loaded cost per employee | | Token spend (core task) | ~1k–3k scripted tokens; no frontier inference on expert path | Often 20k–80k+ input/output tokens across turns | | Approx. API cost per run | ≈ $0 (compute only) | ≈ $0.15–$0.75+ at Opus-class pricing | | Audit trail | Full trace: tools, args, timings | Opaque model states; harder compliance story | At 500 such lookups per day, the expert path saves hundreds of dollars in API fees alone — before counting employee time lost to waiting. ### When to use which layer - **Expert** — Repeatable workflows with clear APIs: AP match, order status, inventory scans, KPI pulls. - **LLM orchestrator** — Intent disambiguation, merging multiple expert outputs, tone and formatting. - **Frontier model alone** — Exploratory analysis with no API, or tasks where occasional hallucination is acceptable. --- ## General Logistics Co (GLC) **General Logistics Co (GLC)** is a fully simulated widget retail and distribution company — a production-grade mock used to prove automation value against realistic ERP-style noise. ### The business GLC buys widgets from fictional suppliers, warehouses them across fulfillment centers, sells through a web storefront, runs payroll, posts to a general ledger, collects sales tax, and handles returns and support tickets. A customer simulator drives variable order volume; a supplier simulator sends PO confirmations, shipments, and occasional partial or incorrect deliveries. ### Why it exists Real companies grow messy software ecosystems: many microservices, heterogeneous databases, manual workflows. GLC mirrors that on purpose so automation demos are credible — not toy CRUD, but cross-functional ops (orders + inventory + AP + procurement) with timing quirks and incomplete gateway endpoints. ### Live API in this demo Experts call GLC through its API gateway (typically `http://10.10.10.81:8080` in lab environments). Services include customers, orders, products, inventory, suppliers, purchase orders, receiving, and accounts payable. Some reporting endpoints are missing on the gateway; the Sales expert compensates by aggregating order pages client-side — a realistic "real world imperfection" our experts handle explicitly. ### Known quirks (intentional realism) - Inventory stock summaries may not match every SKU field naming convention. - Order date filters on list endpoints do not always filter server-side. - Not every analytics view exists as a first-class reporting API. Experts encode these quirks in their GLC clients rather than hoping an LLM notices. ### Your persona in the UI You are signed in as **James Smith** at **General Logistics Co** — a fictional ops lead using Etch to run morning briefs, answer customer escalations, and clear AP exceptions. ### GLC system architecture (summary) ``` ┌─────────────────────────────────────────────────┐ │ External World │ │ (Customers via Browser / Supplier Responses) │ └──────────────────────┬──────────────────────────┘ │ ┌──────────────────────▼──────────────────────────┐ │ API Gateway (:8080) │ └──────┬──────────────────────────────┬───────────┘ │ │ ┌──────────────────▼───────┐ ┌───────────▼───────────────┐ │ Website (:8000) │ │ Internal Service Mesh │ └──────────────────────────┘ └───────────────────────────┘ │ customer · product · order · inventory · fulfillment · payment · shipping · tax · accounting · supplier · payroll · notification · reporting │ PostgreSQL · MongoDB · Redis · Message Queue customer_simulator · supplier_simulator ``` Key microservices: `website`, `api_gateway`, `customer_service`, `product_service`, `order_service`, `inventory_service`, `fulfillment_service`, `payment_service`, `shipping_service`, `tax_service`, `accounting_service`, `supplier_service`, payroll/HR, notification, reporting. --- ## Expert catalog Five Etch SDK experts are registered in this demo. Each exposes one tool to Etch and streams a full reasoning trace while calling GLC microservices. ### Order Status Inquiry - **Domain:** Customer support · ~4 tool calls · ~90 ms - **Does:** Parses messy customer emails for order UUIDs or email addresses, looks up GLC orders and event timelines, fetches customer profiles, and drafts a support reply grounded in live data. - **Try:** `Was my package delivered? My email is quinn.martinez.6066@example.com` ### Supplier Invoice 3-Way Match - **Domain:** Accounts payable · ~6 tool calls · ~120 ms - **Does:** Loads a supplier invoice, purchase order, and receiving record from GLC AP services. Compares quantities and amounts line-by-line, flags variances, and returns a match verdict with audit notes. - **Try:** `Run a three-way match on supplier invoice INV-000001` ### Procure-to-Pay - **Domain:** Procurement + AP · ~14 tool calls · ~430 ms - **Does:** Scans SKUs below reorder point, drafts purchase orders, reviews receiving exceptions, and three-way matches open invoices — a cross-functional workflow in one deterministic pass. - **Try:** `Run procure-to-pay: scan below reorder, draft POs, review receiving exceptions…` ### Morning Ops Brief - **Domain:** Cross-functional ops · scales with `max_cases` - **Does:** Aggregates order exceptions, AP signals, procurement alerts, and optional customer escalations into a prioritized action plan. Tool count grows linearly with cases scanned. - **Try:** Morning ops brief quick pill (includes Quinn Martinez escalation). - **Note:** No captured trace in this bundle; run via chat or `python -m experts.morning_ops_brief.run --max-cases 20 --run-only`. ### Sales - **Domain:** Revenue analytics · ~4+ tool calls · ~1 s - **Does:** Company KPIs, top SKUs and states, promotions, customer history, product/stock lookup, and margin analysis over sampled order pages. Handles focused SKU queries without redundant KPI fetches. - **Try:** `Top products last 30 days with margin analysis — sample 5 pages` ### How Etch invokes experts Each expert registers as a single function tool on Etch's agent. Etch's system prompt describes when to use which expert. The expert runs synchronously from Etch's perspective but streams progress events to the browser (tokens, tool count, elapsed ms) while it executes. --- ## Repository layout (general_logistics_hybrid_agent) ``` general_logistics_hybrid_agent/ ├── main.py # Web server entry (uvicorn) ├── agent/ # Etch orchestrator (LLM, prompts, tools, experts_registry) ├── experts/ # Etch SDK experts (one package per workflow) │ ├── order_status_inquiry/ │ ├── supplier_invoice_3way_match/ │ ├── procure_to_pay/ │ ├── morning_ops_brief/ │ └── sales/ ├── web/ # FastAPI routes, docs, llms.txt generator ├── templates/ # Jinja2 HTML (chat, docs) ├── static/ # CSS, JS, captured trace JSON └── llms.txt # This file (generated) ``` Parent repo also contains `etch_sdk/` (Etch SDK) and GLC itself (`general_logistics_co` / readme at repo root). --- ## Running the demo ```bash cd general_logistics_hybrid_agent python3 main.py --port 8022 ``` Open `http://127.0.0.1:8022/` for chat; docs at `/docs/overview`; this file at `/llms.txt`. ### Run experts directly (CLI) ```bash cd general_logistics_hybrid_agent python -m experts.order_status_inquiry.run --run-only python -m experts.supplier_invoice_3way_match.run --run-only python -m experts.procure_to_pay.run --run-only python -m experts.sales.run --run-only "Top products last 30 days with margin analysis -- sample 5 pages" python -m experts.morning_ops_brief.run --max-cases 20 --run-only ``` ### Regenerate this file ```bash cd general_logistics_hybrid_agent python -m web.llms_txt ``` --- ## Etch orchestrator system prompt ``` You are Etch — the AI assistant embedded in the **EtchLabs Demo** for General Logistics Co (GLC). Your user is **James Smith**, an operations lead at **General Logistics Co**. Your job is to help James with **work-related needs** at GLC: customer order and shipping inquiries, accounts payable and invoice matching, procurement and reorder workflows, cross-functional morning ops briefs, sales and revenue analytics, and other operational questions that GLC experts or straightforward reasoning can address. You are not a general-purpose web research assistant in this deployment. Stay focused on helping James run GLC operations efficiently and accurately. ## Tools available calculator, order_status_inquiry, supplier_invoice_3way_match, procure_to_pay, morning_ops_brief, sales. Never invent tool names — only use the tools listed above. **Online research is disabled.** Do not call web_search, fetch_page, or grep_fetched — they are not available. If James asks about external topics unrelated to GLC work, you may answer briefly from general knowledge when safe, or explain that you are here to help with GLC operations and offer the relevant expert instead. ## GLC experts **order_status_inquiry** — use for GLC customer order/shipping/delivery questions when James provides an order UUID and/or email (e.g. "where is my package?", "was it delivered?"). Pass the request as `inquiry_text`. Returns verified status, timeline, and a draft support reply. **Use that output** in your final answer — do not guess order status from memory. **supplier_invoice_3way_match** — use for GLC accounts payable / supplier invoice reconciliation when James asks to review, match, approve, hold, or dispute supplier invoices against POs and receiving records (e.g. "pending match queue", "invoice discrepancy", "three-way match", INV- numbers). Pass the request as `inquiry_text`. Set `record_decision` true only if James explicitly asks to record the match in GLC. Returns recommended action, discrepancies, and draft AP notes. **procure_to_pay** — use for GLC end-to-end procurement + AP workflows: scan inventory below reorder point, draft or create purchase orders, review receiving exceptions, run three-way match on open supplier invoices, and return a prioritized action plan. Set `create_pos` true only if James asks to submit POs. Set `record_invoice_matches` true only if he asks to record match decisions in GLC. **morning_ops_brief** — use for GLC cross-functional ops reviews: scan order exception queues, investigate stuck/failed orders, triage customer escalations (email/order id), check reorder and AP/receiving signals, and return a prioritized action plan. Ideal for "morning ops brief", "exception triage", or combined customer + ops queue requests. **sales** — use for GLC sales intelligence and reporting: company KPIs, daily/weekly sales analysis, top SKUs and regional breakdown, customer account lookup (email), order drill-down, product/pricing/stock lookup, promotions, and management sales briefs. Ideal for "sales report", "top products", "revenue by state", "customer history", or ad-hoc sales analytics. ## How to work - **Route GLC operational tasks to the right expert.** That is your primary job. - Use **calculator** for numeric work — arithmetic, percentages, unit conversions with known factors, roots, powers. Do not mental-math important numbers; compute them. - Every tool call must include a **thought** field: one brief, user-facing sentence describing what you are doing (e.g. "Running a three-way match on INV-000001…"). These thoughts are shown to James while you work. - **Ground every GLC fact in expert tool output.** Do not invent order IDs, invoice totals, stock counts, or KPIs. - When an expert returns structured JSON, weave it into a clear, professional reply for James. - For light conversational messages, respond naturally — you are his workplace copilot, not a formal ticket system. ## Answering - Be clear, accurate, and conversational — professional but approachable. - **Your final message must completely answer James's question.** Include all relevant facts, numbers, names, dates, and conclusions — especially after using experts. - Write the full answer in your **message text**, not only in internal reasoning. - Structure answers naturally: lead with the direct answer, then supporting detail. End when the question is answered — do not pad with offers to help further. - **Do not ask unprompted follow-up questions.** Never end with "Would you like…", "If you want, I can…", "Let me know if…", or similar unless James explicitly asked for options. - If you cannot answer from experts or reasonable inference, say so honestly rather than guessing. - **Never use emojis** unless James's message contains an emoji. Plain text only by default. - Do not include raw tool JSON or step-by-step tool narration in the final answer — he already saw brief status updates while you worked. ## Forbidden You cannot run arbitrary code, edit files, execute shell commands, browse the web, or use any tool not listed above. Do not use emojis unless James used an emoji in his message. ``` --- ## Expert tool specifications (Etch function tools) ```json [ { "type": "function", "function": { "name": "calculator", "description": "Evaluate a numeric math expression and return the exact result. Use for arithmetic, algebra, unit-style calculations, roots, powers, trigonometry, and logs \u2014 do not guess numbers you can compute. Supports +, -, *, /, //, %, ** (or ^), parentheses, and functions: sqrt, sin, cos, tan, log, ln, abs, round, floor, ceil, pow, factorial, min, max, degrees, radians. Constants: pi, e, tau.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "expression": { "type": "string", "description": "Math expression to evaluate, e.g. '(15 * 1.0825 ** 30) / 12' or 'sqrt(2) * sin(pi/4)'." } }, "required": [ "expression" ] } } }, { "type": "function", "function": { "name": "order_status_inquiry", "description": "Investigate a General Logistics Co (GLC) customer order inquiry using the Order Status Inquiry expert. Use when the user asks about order status, shipping updates, delivery timing, missing packages, 'where is my order/package', tracking, or similar \u2014 especially when they provide an order UUID and/or customer email. Returns verified order status, event timeline, and a draft support reply grounded in live GLC data.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "inquiry_text": { "type": "string", "description": "The customer's question, copied verbatim or lightly cleaned. Include any order UUID and/or email address the user provided." } }, "required": [ "inquiry_text" ] } } }, { "type": "function", "function": { "name": "supplier_invoice_3way_match", "description": "Run the Supplier Invoice 3-Way Match expert on General Logistics Co (GLC) accounts payable data. Use when the user asks to review, match, approve, hold, or dispute supplier invoices against purchase orders and receiving records \u2014 e.g. pending-match queue, invoice discrepancies, quantity or price mismatches, or AP reconciliation. Returns recommended action (approve/hold/dispute), discrepancy details, and draft AP notes.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "inquiry_text": { "type": "string", "description": "The AP or finance request. Include invoice numbers (INV-...), invoice UUIDs, PO numbers, or ask to review the pending-match queue." }, "invoice_id": { "type": "string", "description": "Optional supplier invoice UUID only (not INV- numbers). Prefer putting invoice numbers like INV-000001 in inquiry_text." }, "record_decision": { "type": "boolean", "description": "When true, POST the recommended match action back to GLC. Default false \u2014 analysis only unless the user asks to record it." } }, "required": [ "inquiry_text" ] } } }, { "type": "function", "function": { "name": "procure_to_pay", "description": "Run the Procure-to-Pay expert on General Logistics Co (GLC). Use for end-to-end procurement and AP workflows: scan inventory below reorder point, draft or create purchase orders, review receiving exceptions, run three-way match on open supplier invoices, and produce a prioritized action plan. Ideal for 'procure-to-pay', 'reorder widgets', 'create POs', 'morning procurement run', or combined procurement + AP review requests.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "inquiry_text": { "type": "string", "description": "The procurement or finance ops request. Mention reorder scan, PO creation, invoice matching, or full procure-to-pay as needed." }, "create_pos": { "type": "boolean", "description": "When true, POST drafted purchase orders to GLC. Default false \u2014 analysis and drafts only unless the user asks to submit." }, "record_invoice_matches": { "type": "boolean", "description": "When true, POST recommended invoice match actions to GLC. Default false unless the user explicitly asks to record decisions." }, "max_pos": { "type": "integer", "description": "Maximum number of PO drafts to create (default 5)." } }, "required": [ "inquiry_text" ] } } }, { "type": "function", "function": { "name": "morning_ops_brief", "description": "Run the Morning Ops Brief expert on General Logistics Co (GLC). Use for cross-functional operations reviews: scan order exception queues, investigate stuck or failed orders, triage customer escalations by email, check procurement reorder signals and receiving/AP issues, and return a prioritized action plan. Ideal for 'morning ops brief', 'exception triage', 'ops review', or combined customer escalation + ops queue requests.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "inquiry_text": { "type": "string", "description": "The ops manager request. Include customer emails, order UUIDs, or ask for a full morning exception triage and action plan." }, "max_cases": { "type": "integer", "description": "Maximum order exception cases to investigate (default 3)." } }, "required": [ "inquiry_text" ] } } }, { "type": "function", "function": { "name": "sales", "description": "Run the Sales expert on General Logistics Co (GLC). Use for versatile sales intelligence: company KPIs, daily/weekly sales analysis, top SKUs and regional breakdown, customer account lookup by email, order drill-down, product/pricing/stock lookup, promotions, and management sales briefs. Ideal for 'sales report', 'top products', 'revenue by state', 'customer history', 'how are sales', or ad-hoc sales analytics.", "parameters": { "type": "object", "properties": { "thought": { "type": "string", "description": "One sentence explaining what you are doing and why. Shown to the user as a status update." }, "inquiry_text": { "type": "string", "description": "The sales or analytics request. Include customer emails, order UUIDs, SKUs, time window, or ask for a full sales brief." }, "max_pages": { "type": "integer", "description": "Order sample pages for analytics (500 orders/page, default 2)." }, "days": { "type": "integer", "description": "Analysis window in days for sampled sales (default 7)." }, "top_n": { "type": "integer", "description": "Top N SKUs/states to rank (default 10)." } }, "required": [ "inquiry_text" ] } } } ] ``` --- ## Full expert traces Captured live against GLC on 2026-06-27. Each trace includes a human-readable event stream and the complete JSON payload. ### Order Status Inquiry Customer asks whether a package was delivered — expert parses the email, finds orders by address, pulls the event timeline, loads the customer profile, and drafts a reply. Captured live against GLC on 2026-06-27. - **Inquiry:** Was my package delivered? My email is quinn.martinez.6066@example.com - **Tool calls:** 4 - **Total tokens:** 1,039 - **Reasoning tokens:** 499 - **Tool output tokens:** 540 - **Wall time:** 92 ms - **Throughput:** 11,293 tok/s #### Event stream 1. **Reasoning:** Customer inquiry received. This looks like a 'where is my order?' situation — I'll investigate the GLC order service, reconstruct the timeline, and draft a reply grounded in actual order data rather than guessing. 2. **Reasoning:** First I need to read the customer's message carefully and pull out anything actionable — an order UUID, an email address, maybe a PO-style reference. That tells me which GLC records to hit. 3. **Tool call:** `parse_inquiry` ```json { "inquiry_text": "Was my package delivered? My email is quinn.martinez.6066@example.com" } ``` 4. **Reasoning:** Inquiry parsed. Found 0 order id(s), 1 email(s). Primary email looks like `quinn.martinez.6066@example.com`. 5. **Reasoning:** No order UUID in the message, which is common — customers often just reply from their inbox. I'll search by email and pick the most relevant open or in-progress shipment. 6. **Reasoning:** No order UUID in the message, but I do see an email — `quinn.martinez.6066@example.com`. Looking up the GLC customer record and their orders directly. 7. **Tool call:** `find_orders_by_email` ```json { "email": "quinn.martinez.6066@example.com" } ``` 8. **Reasoning:** Email lookup found 16 order(s) for `quinn.martinez.6066@example.com`. I'll focus on `4a737b48...` (closed) as the most relevant match. 9. **Reasoning:** Order `4a737b48...` is the one. Next I'll reconstruct the full status timeline so the customer gets specifics, not just a single word like `closed`. 10. **Reasoning:** The raw status field only tells me where the order is *now*. To answer a 'where is my order?' email properly, I need the chronological event log for `4a737b48...` — created, confirmed, fulfillment, shipped, delivered, all of it. 11. **Tool call:** `fetch_order_events` ```json { "order_id": "4a737b48-365c-43f3-ae63-4ca57027ee91" } ``` 12. **Reasoning:** Timeline retrieved — 6 event(s). Latest milestone: `closed` at 2026-06-27T17:05:15.338027Z. 13. **Reasoning:** Almost there — let me grab the customer profile so the draft reply opens with their name instead of a generic greeting. 14. **Reasoning:** I have a customer id (`fb4cddd5...`) tied to this order. Let me pull their profile so I can personalize the reply — first name, email, loyalty tier, that sort of thing. 15. **Tool call:** `fetch_customer` ```json { "customer_id": "fb4cddd5-2d8e-4ea9-943b-ed058111a976" } ``` 16. **Reasoning:** Customer record found: Quinn Martinez . Loyalty tier `bronze`. 17. **Reasoning:** I've got the order, the timeline, and the customer context. Composing a draft reply that cites the actual status and latest milestone. 18. **Reasoning:** Investigation complete for order `4a737b48...`. Final status: `closed`. Draft response is ready for review. #### Full trace JSON ```json { "ok": true, "handler": "respond", "session_id": "order_status_inquiry_respond_1782585823_9b3928", "terminal_kind": "order_status_inquiry_result", "result": { "ok": true, "inquiry_text": "Was my package delivered? My email is quinn.martinez.6066@example.com", "lookup_method": "email", "order_id": "4a737b48-365c-43f3-ae63-4ca57027ee91", "status": "closed", "payment_status": "captured", "grand_total": "54.56", "customer": { "id": "fb4cddd5-2d8e-4ea9-943b-ed058111a976", "email": "quinn.martinez.6066@example.com", "first_name": "Quinn", "last_name": "Martinez" }, "timeline": [ { "timestamp": "2026-06-27T17:04:55.745696Z", "label": "created", "status": "pending" }, { "timestamp": "2026-06-27T17:04:55.756195Z", "label": "confirmed", "status": "confirmed" }, { "timestamp": "2026-06-27T17:05:14.967236Z", "label": "status.in fulfillment", "status": "in_fulfillment" }, { "timestamp": "2026-06-27T17:05:15.113869Z", "label": "status.shipped", "status": "shipped" }, { "timestamp": "2026-06-27T17:05:15.219898Z", "label": "status.delivered", "status": "delivered" }, { "timestamp": "2026-06-27T17:05:15.338027Z", "label": "status.closed", "status": "closed" } ], "draft_response": "Hi Quinn,\n\nThank you for reaching out about your order. I looked up order `4a737b48-365c-43f3-ae63-4ca57027ee91` placed on 2026-06-27T17:04:55.745696Z.\n\nYour order is complete.\nThe most recent update on 2026-06-27T17:05:15.338027Z moved the order to `closed`.\n\nOrder total: $54.56. Items: 3\u00d7 Jumbo Round Widget (size=large, color=silver).\nShipping destination: Chicago, IL.\n\nIf you need anything else about this shipment, reply with your order ID and we will follow up.\n\nBest regards,\nGeneral Logistics Co Customer Support" }, "trace": [ { "kind": "reasoning", "payload": "Customer inquiry received. This looks like a 'where is my order?' situation \u2014 I'll investigate the GLC order service, reconstruct the timeline, and draft a reply grounded in actual order data rather than guessing." }, { "kind": "reasoning", "payload": "First I need to read the customer's message carefully and pull out anything actionable \u2014 an order UUID, an email address, maybe a PO-style reference. That tells me which GLC records to hit." }, { "kind": "tool_call", "payload": { "tool": "parse_inquiry", "args": { "inquiry_text": "Was my package delivered? My email is quinn.martinez.6066@example.com" } } }, { "kind": "reasoning", "payload": "Inquiry parsed. Found 0 order id(s), 1 email(s). Primary email looks like `quinn.martinez.6066@example.com`." }, { "kind": "reasoning", "payload": "No order UUID in the message, which is common \u2014 customers often just reply from their inbox. I'll search by email and pick the most relevant open or in-progress shipment." }, { "kind": "reasoning", "payload": "No order UUID in the message, but I do see an email \u2014 `quinn.martinez.6066@example.com`. Looking up the GLC customer record and their orders directly." }, { "kind": "tool_call", "payload": { "tool": "find_orders_by_email", "args": { "email": "quinn.martinez.6066@example.com" } } }, { "kind": "reasoning", "payload": "Email lookup found 16 order(s) for `quinn.martinez.6066@example.com`. I'll focus on `4a737b48...` (closed) as the most relevant match." }, { "kind": "reasoning", "payload": "Order `4a737b48...` is the one. Next I'll reconstruct the full status timeline so the customer gets specifics, not just a single word like `closed`." }, { "kind": "reasoning", "payload": "The raw status field only tells me where the order is *now*. To answer a 'where is my order?' email properly, I need the chronological event log for `4a737b48...` \u2014 created, confirmed, fulfillment, shipped, delivered, all of it." }, { "kind": "tool_call", "payload": { "tool": "fetch_order_events", "args": { "order_id": "4a737b48-365c-43f3-ae63-4ca57027ee91" } } }, { "kind": "reasoning", "payload": "Timeline retrieved \u2014 6 event(s). Latest milestone: `closed` at 2026-06-27T17:05:15.338027Z." }, { "kind": "reasoning", "payload": "Almost there \u2014 let me grab the customer profile so the draft reply opens with their name instead of a generic greeting." }, { "kind": "reasoning", "payload": "I have a customer id (`fb4cddd5...`) tied to this order. Let me pull their profile so I can personalize the reply \u2014 first name, email, loyalty tier, that sort of thing." }, { "kind": "tool_call", "payload": { "tool": "fetch_customer", "args": { "customer_id": "fb4cddd5-2d8e-4ea9-943b-ed058111a976" } } }, { "kind": "reasoning", "payload": "Customer record found: Quinn Martinez . Loyalty tier `bronze`." }, { "kind": "reasoning", "payload": "I've got the order, the timeline, and the customer context. Composing a draft reply that cites the actual status and latest milestone." }, { "kind": "reasoning", "payload": "Investigation complete for order `4a737b48...`. Final status: `closed`. Draft response is ready for review." } ], "tool_call_count": 4, "duration_ms": 92.0, "metrics": { "tokens": { "reasoning": 499, "report": 0, "tool_output": 540, "total": 1039, "encoding": "cl100k_base" }, "tokens_per_second": 11293.0, "duration_ms": 92.0 } } ``` ### Supplier Invoice 3-Way Match Accounts payable three-way match on `INV-000001`: load invoice, purchase order, and receiving records; compare lines; emit match verdict. - **Inquiry:** Run a three-way match on supplier invoice INV-000001 - **Tool calls:** 6 - **Total tokens:** 1,112 - **Reasoning tokens:** 448 - **Tool output tokens:** 664 - **Wall time:** 118 ms - **Throughput:** 9,451 tok/s #### Event stream 1. **Reasoning:** AP review request received. I'll run a supplier invoice three-way match — purchase order, receiving records, and supplier invoice — then recommend approve, hold, or dispute with draft communications for finance. 2. **Reasoning:** I'll read the AP request and pull out invoice numbers, UUIDs, or PO references — that tells me whether we're reviewing a specific invoice or the pending-match queue. 3. **Tool call:** `parse_inquiry` ```json { "inquiry_text": "Run a three-way match on supplier invoice INV-000001" } ``` 4. **Reasoning:** Inquiry parsed. Found 0 invoice id(s), 1 invoice number(s). Primary target looks like `INV-000001`. 5. **Reasoning:** Fetching the supplier invoice record (`INV-000001`) including line items, match status, and any GLC-precomputed discrepancies. 6. **Tool call:** `fetch_supplier_invoice` ```json { "invoice_number": "INV-000001" } ``` 7. **Reasoning:** Invoice `INV-000001` loaded — status `disputed`, match `disputed`, total $225.00, linked PO `4e24c0b2...`. 8. **Reasoning:** Target invoice is `INV-000001` (disputed). Next I'll pull the linked PO and receiving records. 9. **Reasoning:** The invoice references PO `4e24c0b2...`. I need the PO line items and authorized quantities as the first leg of the three-way match. 10. **Tool call:** `fetch_purchase_order` ```json { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } ``` 11. **Reasoning:** PO `PO-000001` retrieved — status `partially_received`, 1 line(s), total $225.00. 12. **Reasoning:** Second leg of the match: pulling receiving records for PO `4e24c0b2...`. Receipt quantities are what we actually accepted into inventory. 13. **Tool call:** `fetch_po_receipts` ```json { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } ``` 14. **Reasoning:** Found 1 receipt(s) on this PO. Aggregate received quantity by SKU is ready for comparison. 15. **Reasoning:** Pulling supplier profile `febbec24...` so any hold note or dispute email can name the vendor and use the correct AP contact. 16. **Tool call:** `fetch_supplier` ```json { "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } ``` 17. **Reasoning:** Supplier is Acme Widget Supply Co. (orders@acme-widgets.example.com). 18. **Reasoning:** All three documents are in hand. Comparing line-by-line quantities and unit costs. 19. **Reasoning:** Running the three-way comparison for invoice `INV-000001` — PO `PO-000001` vs 1 receipt(s) vs 1 invoice line(s). 20. **Tool call:** `compare_three_way` ```json { "purchase_order": { "id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "status": "partially_received", "total_amount": "225.00", "expected_delivery_date": "2026-06-30", "notes": "Simulated acknowledgement (confirmed)\nShipped SIM-196237\nShipped BACKFILL-PO-000001; receipt RCV-000001", "created_at": "2026-06-25T16:08:08.648544Z", "updated_at": "2026-06-27T17:06:31.802048Z", "line_items": [ { "id": "d6998f51-6982-4a35-b53a-b92058827669", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "sku": "WDG-001-S", "product_name": "Widget Small", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ] }, "receipts": [ { "id": "98ce7c8c-a670-415b-8c97-22131bf4aad3", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "receipt_number": "RCV-000001", "received_at": "2026-06-25T17:06:31.785201Z", "status": "partial", "line_items": [ { "sku": "WDG-001-S", "quantity_ordered": 50, "quantity_received": 45, "unit_cost": "4.50" } ] } ], "invoice": { "id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "status": "disputed", "total_amount": "225.00", "invoice_date": "2026-06-27", "due_date": "2026-07-27", "line_items": [ { "sku": "WDG-001-S", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ], "match_status": "disputed", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; Supplier invoiced for 50; only 45 received" } ], "match_notes": "qty mismatch" } } ``` 21. **Reasoning:** Comparison complete. Recommended action: `hold`. 1 discrepancy(ies), all lines matched=False. 22. **Reasoning:** Three-way match recommends `hold`. Drafting AP hold note and supplier dispute email. 23. **Reasoning:** Investigation complete for `INV-000001`. Recommended action: `hold`. #### Full trace JSON ```json { "ok": true, "handler": "respond", "session_id": "supplier_invoice_3way_match_respond_1782585823_23005d", "terminal_kind": "supplier_invoice_3way_match_result", "result": { "ok": true, "inquiry_text": "Run a three-way match on supplier invoice INV-000001", "lookup_method": "invoice_number", "invoice_id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "invoice_status": "disputed", "match_status": "disputed", "invoice_total": "225.00", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "po_status": "partially_received", "supplier": { "id": "febbec24-756a-4987-8754-8772dbb965e0", "name": "Acme Widget Supply Co.", "contact_email": "orders@acme-widgets.example.com" }, "receipt_count": 1, "recommended_action": "hold", "recommendation_rationale": "Supplier invoiced for more units than were received; hold payment pending AP review or supplier credit.", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; supplier invoiced 50." } ], "line_comparisons": [ { "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "po_unit_cost": "4.50", "received_unit_cost": "4.50", "invoice_unit_cost": "4.50", "matched": false } ], "all_lines_matched": false, "draft_ap_note": "AP hold \u2014 supplier invoice INV-000001\nSupplier: Acme Widget Supply Co.\nLinked PO: PO-000001 (partially_received)\nInvoice total: $225.00\nRecommended action: HOLD\n\nSupplier invoiced for more units than were received; hold payment pending AP review or supplier credit.\n\nDiscrepancies:\n- [quantity_mismatch] WDG-001-S: PO ordered 50; received 45; supplier invoiced 50.\n\nNext steps: verify receiving records, confirm whether a partial shipment is expected, and release or dispute the invoice accordingly.", "draft_supplier_email": "To: orders@acme-widgets.example.com\nSubject: Invoice discrepancy \u2014 INV-000001 / PO-000001\n\nHello Acme Widget Supply Co. Accounts Receivable,\n\nWe are reviewing supplier invoice INV-000001 tied to purchase order PO-000001. Our three-way match found the following variances:\n\n- SKU WDG-001-S: PO 50, received 45, invoiced 50.\n\nPlease confirm whether a credit memo will be issued or if a remaining shipment is expected. We have placed the invoice on hold pending your response.\n\nThank you,\nGeneral Logistics Co Accounts Payable" }, "trace": [ { "kind": "reasoning", "payload": "AP review request received. I'll run a supplier invoice three-way match \u2014 purchase order, receiving records, and supplier invoice \u2014 then recommend approve, hold, or dispute with draft communications for finance." }, { "kind": "reasoning", "payload": "I'll read the AP request and pull out invoice numbers, UUIDs, or PO references \u2014 that tells me whether we're reviewing a specific invoice or the pending-match queue." }, { "kind": "tool_call", "payload": { "tool": "parse_inquiry", "args": { "inquiry_text": "Run a three-way match on supplier invoice INV-000001" } } }, { "kind": "reasoning", "payload": "Inquiry parsed. Found 0 invoice id(s), 1 invoice number(s). Primary target looks like `INV-000001`." }, { "kind": "reasoning", "payload": "Fetching the supplier invoice record (`INV-000001`) including line items, match status, and any GLC-precomputed discrepancies." }, { "kind": "tool_call", "payload": { "tool": "fetch_supplier_invoice", "args": { "invoice_number": "INV-000001" } } }, { "kind": "reasoning", "payload": "Invoice `INV-000001` loaded \u2014 status `disputed`, match `disputed`, total $225.00, linked PO `4e24c0b2...`." }, { "kind": "reasoning", "payload": "Target invoice is `INV-000001` (disputed). Next I'll pull the linked PO and receiving records." }, { "kind": "reasoning", "payload": "The invoice references PO `4e24c0b2...`. I need the PO line items and authorized quantities as the first leg of the three-way match." }, { "kind": "tool_call", "payload": { "tool": "fetch_purchase_order", "args": { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } } }, { "kind": "reasoning", "payload": "PO `PO-000001` retrieved \u2014 status `partially_received`, 1 line(s), total $225.00." }, { "kind": "reasoning", "payload": "Second leg of the match: pulling receiving records for PO `4e24c0b2...`. Receipt quantities are what we actually accepted into inventory." }, { "kind": "tool_call", "payload": { "tool": "fetch_po_receipts", "args": { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } } }, { "kind": "reasoning", "payload": "Found 1 receipt(s) on this PO. Aggregate received quantity by SKU is ready for comparison." }, { "kind": "reasoning", "payload": "Pulling supplier profile `febbec24...` so any hold note or dispute email can name the vendor and use the correct AP contact." }, { "kind": "tool_call", "payload": { "tool": "fetch_supplier", "args": { "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } } }, { "kind": "reasoning", "payload": "Supplier is Acme Widget Supply Co. (orders@acme-widgets.example.com)." }, { "kind": "reasoning", "payload": "All three documents are in hand. Comparing line-by-line quantities and unit costs." }, { "kind": "reasoning", "payload": "Running the three-way comparison for invoice `INV-000001` \u2014 PO `PO-000001` vs 1 receipt(s) vs 1 invoice line(s)." }, { "kind": "tool_call", "payload": { "tool": "compare_three_way", "args": { "purchase_order": { "id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "status": "partially_received", "total_amount": "225.00", "expected_delivery_date": "2026-06-30", "notes": "Simulated acknowledgement (confirmed)\nShipped SIM-196237\nShipped BACKFILL-PO-000001; receipt RCV-000001", "created_at": "2026-06-25T16:08:08.648544Z", "updated_at": "2026-06-27T17:06:31.802048Z", "line_items": [ { "id": "d6998f51-6982-4a35-b53a-b92058827669", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "sku": "WDG-001-S", "product_name": "Widget Small", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ] }, "receipts": [ { "id": "98ce7c8c-a670-415b-8c97-22131bf4aad3", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "receipt_number": "RCV-000001", "received_at": "2026-06-25T17:06:31.785201Z", "status": "partial", "line_items": [ { "sku": "WDG-001-S", "quantity_ordered": 50, "quantity_received": 45, "unit_cost": "4.50" } ] } ], "invoice": { "id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "status": "disputed", "total_amount": "225.00", "invoice_date": "2026-06-27", "due_date": "2026-07-27", "line_items": [ { "sku": "WDG-001-S", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ], "match_status": "disputed", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; Supplier invoiced for 50; only 45 received" } ], "match_notes": "qty mismatch" } } } }, { "kind": "reasoning", "payload": "Comparison complete. Recommended action: `hold`. 1 discrepancy(ies), all lines matched=False." }, { "kind": "reasoning", "payload": "Three-way match recommends `hold`. Drafting AP hold note and supplier dispute email." }, { "kind": "reasoning", "payload": "Investigation complete for `INV-000001`. Recommended action: `hold`." } ], "tool_call_count": 6, "duration_ms": 117.7, "metrics": { "tokens": { "reasoning": 448, "report": 0, "tool_output": 664, "total": 1112, "encoding": "cl100k_base" }, "tokens_per_second": 9450.7, "duration_ms": 117.7 } } ``` ### Procure-to-Pay End-to-end procurement workflow: reorder scan, PO drafting, receiving exceptions, and open invoice matching — 14 tool calls in one deterministic pass. - **Inquiry:** Run procure-to-pay: scan below reorder point, draft POs, review receiving exceptions, and three-way match open invoices. - **Tool calls:** 14 - **Total tokens:** 2,012 - **Reasoning tokens:** 661 - **Tool output tokens:** 1,351 - **Wall time:** 338 ms - **Throughput:** 5,946 tok/s #### Event stream 1. **Reasoning:** Procure-to-pay run starting. I'll scan reorder points, draft or submit POs, check receiving exceptions, run three-way match on open invoices, and produce a prioritized action plan for procurement and AP. 2. **Reasoning:** Reading the ops request to see whether we're scanning reorder points, drafting POs, reviewing payables, or running the full procure-to-pay chain. 3. **Tool call:** `parse_request` ```json { "inquiry_text": "Run procure-to-pay: scan below reorder point, draft POs, review receiving exceptions, and three-way match open invoices." } ``` 4. **Reasoning:** Request parsed. create_pos=False, record_matches=False, SKU filter=0 item(s). 5. **Reasoning:** Phase 1 — procurement: finding SKUs below reorder point and building PO drafts. 6. **Reasoning:** Scanning GLC inventory for SKUs below reorder point — these are the procurement triggers that normally start a buyer's morning. 7. **Tool call:** `list_below_reorder_point` ```json {} ``` 8. **Reasoning:** Found 3 below-reorder SKU(s) across fulfillment centers. 9. **Reasoning:** Pulling cost basis for `WDG-001` so the PO draft uses the same unit cost GLC finance expects for COGS — not a guess. 10. **Tool call:** `fetch_sku_pricing` ```json { "sku": "WDG-001" } ``` 11. **Reasoning:** Pricing for `WDG-001`: cost $4.50, MSRP $9.99. 12. **Reasoning:** Pulling cost basis for `WDG-002` so the PO draft uses the same unit cost GLC finance expects for COGS — not a guess. 13. **Tool call:** `fetch_sku_pricing` ```json { "sku": "WDG-002" } ``` 14. **Reasoning:** Pricing for `WDG-002`: cost $3.00, MSRP $6.99. 15. **Reasoning:** Pulling cost basis for `WDG-003` so the PO draft uses the same unit cost GLC finance expects for COGS — not a guess. 16. **Tool call:** `fetch_sku_pricing` ```json { "sku": "WDG-003" } ``` 17. **Reasoning:** Pricing for `WDG-003`: cost $6.75, MSRP $14.99. 18. **Reasoning:** Grouping 3 reorder SKU(s) into supplier PO drafts (max 5 PO(s)) with priced line items. 19. **Tool call:** `draft_purchase_orders` ```json { "reorder_items": [ { "sku": "WDG-001", "product_name": "Standard Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-002", "product_name": "Mini Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 250, "recommended_order_qty": 2500, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-003", "product_name": "Jumbo Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } ], "pricing_by_sku": { "WDG-001": { "cost_basis": "4.50", "msrp": "9.99" }, "WDG-002": { "cost_basis": "3.00", "msrp": "6.99" }, "WDG-003": { "cost_basis": "6.75", "msrp": "14.99" } }, "max_pos": 5 } ``` 20. **Reasoning:** Drafted 1 PO(s) totaling $30000.00 estimated spend. 21. **Reasoning:** Loading supplier `febbec24...` for PO routing — contact email, payment terms, lead time. 22. **Tool call:** `fetch_supplier` ```json { "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } ``` 23. **Reasoning:** Supplier Acme Widget Supply Co. — orders@acme-widgets.example.com, terms net_30, lead 5 days. 24. **Reasoning:** Phase 2 — receiving: checking partially received POs that may block payment. 25. **Reasoning:** Checking for partially received POs with discrepancies — these often block clean three-way match later. 26. **Tool call:** `list_receiving_exceptions` ```json {} ``` 27. **Reasoning:** Found 1 receiving exception PO(s). 28. **Reasoning:** Pulling PO `4e24c0b2...` details for receiving/AP context. 29. **Tool call:** `fetch_purchase_order` ```json { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } ``` 30. **Reasoning:** PO `PO-000001` — status `partially_received`, 1 line(s), $225.00. 31. **Reasoning:** Fetching receiving records for PO `4e24c0b2...`. 32. **Tool call:** `fetch_po_receipts` ```json { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } ``` 33. **Reasoning:** Found 1 receipt(s) on this PO. 34. **Reasoning:** Phase 3 — payables: three-way match on pending and open supplier invoices. 35. **Reasoning:** Pulling the supplier invoice pending-match queue for the pay leg of procure-to-pay. 36. **Tool call:** `list_pending_invoices` ```json {} ``` 37. **Reasoning:** Pending-match queue: 0 invoice(s). 38. **Reasoning:** Scanning disputed and non-matched supplier invoices that still need AP attention. 39. **Tool call:** `list_open_payables` ```json {} ``` 40. **Reasoning:** Found 1 open payable invoice(s) for review. 41. **Reasoning:** Loading supplier invoice `ae266f26...` for three-way match. 42. **Tool call:** `fetch_supplier_invoice` ```json { "invoice_id": "ae266f26-3e01-4d0f-8519-1ce0132051ca" } ``` 43. **Reasoning:** Invoice `INV-000001` — status `disputed`, match `disputed`, $225.00. 44. **Reasoning:** Three-way match for invoice `INV-000001` against PO `PO-000001`. 45. **Tool call:** `compare_three_way` ```json { "purchase_order": { "id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "status": "partially_received", "total_amount": "225.00", "expected_delivery_date": "2026-06-30", "notes": "Simulated acknowledgement (confirmed)\nShipped SIM-196237\nShipped BACKFILL-PO-000001; receipt RCV-000001", "created_at": "2026-06-25T16:08:08.648544Z", "updated_at": "2026-06-27T17:06:31.802048Z", "line_items": [ { "id": "d6998f51-6982-4a35-b53a-b92058827669", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "sku": "WDG-001-S", "product_name": "Widget Small", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ] }, "receipts": [ { "id": "98ce7c8c-a670-415b-8c97-22131bf4aad3", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "receipt_number": "RCV-000001", "received_at": "2026-06-25T17:06:31.785201Z", "status": "partial", "line_items": [ { "sku": "WDG-001-S", "quantity_ordered": 50, "quantity_received": 45, "unit_cost": "4.50" } ] } ], "invoice": { "id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "status": "disputed", "total_amount": "225.00", "invoice_date": "2026-06-27", "due_date": "2026-07-27", "line_items": [ { "sku": "WDG-001-S", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ], "match_status": "disputed", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; Supplier invoiced for 50; only 45 received" } ], "match_notes": "qty mismatch" } } ``` 46. **Reasoning:** Match recommends `hold` — 1 discrepancy(ies). 47. **Reasoning:** All phases complete. Composing the procure-to-pay action plan for ops and finance. #### Full trace JSON ```json { "ok": true, "handler": "respond", "session_id": "procure_to_pay_respond_1782585824_edb4ab", "terminal_kind": "procure_to_pay_result", "result": { "ok": true, "inquiry_text": "Run procure-to-pay: scan below reorder point, draft POs, review receiving exceptions, and three-way match open invoices.", "create_pos": false, "reorder_count": 3, "reorder_items": [ { "sku": "WDG-001", "product_name": "Standard Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-002", "product_name": "Mini Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 250, "recommended_order_qty": 2500, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-003", "product_name": "Jumbo Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } ], "po_draft_count": 1, "po_drafts": [ { "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "line_items": [ { "sku": "WDG-001", "product_name": "Standard Round Widget", "quantity": 2000, "unit_cost": "4.50", "line_total": "9000.00", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200 }, { "sku": "WDG-002", "product_name": "Mini Round Widget", "quantity": 2500, "unit_cost": "3.00", "line_total": "7500.00", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 250 }, { "sku": "WDG-003", "product_name": "Jumbo Round Widget", "quantity": 2000, "unit_cost": "6.75", "line_total": "13500.00", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200 } ], "line_count": 3, "estimated_total": "30000.00" } ], "submitted_po_count": 0, "submitted_pos": [], "receiving_exception_count": 1, "receiving_exceptions": [ { "id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "status": "partially_received", "total_amount": "225.00", "expected_delivery_date": "2026-06-30", "notes": "Simulated acknowledgement (confirmed)\nShipped SIM-196237\nShipped BACKFILL-PO-000001; receipt RCV-000001", "created_at": "2026-06-25T16:08:08.648544Z", "updated_at": "2026-06-27T17:06:31.802048Z", "line_items": [ { "id": "d6998f51-6982-4a35-b53a-b92058827669", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "sku": "WDG-001-S", "product_name": "Widget Small", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ] } ], "invoice_review_count": 1, "invoice_reviews": [ { "invoice_id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "invoice_status": "disputed", "po_number": "PO-000001", "recommended_action": "hold", "recommendation_rationale": "Supplier invoiced for more units than were received; hold payment pending AP review or supplier credit.", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; supplier invoiced 50." } ] } ], "action_plan": "GLC Procure-to-Pay \u2014 action plan\n\n## Procurement (reorder)\n3 SKU(s) below reorder point:\n- WDG-001 (Standard Round Widget): available 50 / reorder 200 \u2192 order 2000 units\n- WDG-002 (Mini Round Widget): available 50 / reorder 250 \u2192 order 2500 units\n- WDG-003 (Jumbo Round Widget): available 50 / reorder 200 \u2192 order 2000 units\n\n## Purchase orders\n- DRAFT PO for supplier febbec24-756a-4987-8754-8772dbb965e0: 3 line(s), est. $30000.00\n- POs were not submitted (analysis-only run). Set create_pos to submit.\n\n## Receiving exceptions\n- PO-000001 (partially_received) \u2014 review partial receipt / quantity mismatch\n\n## Accounts payable\n- INV-000001: recommended `hold` \u2014 Supplier invoiced for more units than were received; hold payment pending AP review or supplier credit.\n\n## Priority follow-ups\n1. AP: resolve INV-000001 (hold)\n2. Receiving: reconcile PO-000001 short receipt\n3. Procurement: review and submit reorder PO drafts" }, "trace": [ { "kind": "reasoning", "payload": "Procure-to-pay run starting. I'll scan reorder points, draft or submit POs, check receiving exceptions, run three-way match on open invoices, and produce a prioritized action plan for procurement and AP." }, { "kind": "reasoning", "payload": "Reading the ops request to see whether we're scanning reorder points, drafting POs, reviewing payables, or running the full procure-to-pay chain." }, { "kind": "tool_call", "payload": { "tool": "parse_request", "args": { "inquiry_text": "Run procure-to-pay: scan below reorder point, draft POs, review receiving exceptions, and three-way match open invoices." } } }, { "kind": "reasoning", "payload": "Request parsed. create_pos=False, record_matches=False, SKU filter=0 item(s)." }, { "kind": "reasoning", "payload": "Phase 1 \u2014 procurement: finding SKUs below reorder point and building PO drafts." }, { "kind": "reasoning", "payload": "Scanning GLC inventory for SKUs below reorder point \u2014 these are the procurement triggers that normally start a buyer's morning." }, { "kind": "tool_call", "payload": { "tool": "list_below_reorder_point", "args": {} } }, { "kind": "reasoning", "payload": "Found 3 below-reorder SKU(s) across fulfillment centers." }, { "kind": "reasoning", "payload": "Pulling cost basis for `WDG-001` so the PO draft uses the same unit cost GLC finance expects for COGS \u2014 not a guess." }, { "kind": "tool_call", "payload": { "tool": "fetch_sku_pricing", "args": { "sku": "WDG-001" } } }, { "kind": "reasoning", "payload": "Pricing for `WDG-001`: cost $4.50, MSRP $9.99." }, { "kind": "reasoning", "payload": "Pulling cost basis for `WDG-002` so the PO draft uses the same unit cost GLC finance expects for COGS \u2014 not a guess." }, { "kind": "tool_call", "payload": { "tool": "fetch_sku_pricing", "args": { "sku": "WDG-002" } } }, { "kind": "reasoning", "payload": "Pricing for `WDG-002`: cost $3.00, MSRP $6.99." }, { "kind": "reasoning", "payload": "Pulling cost basis for `WDG-003` so the PO draft uses the same unit cost GLC finance expects for COGS \u2014 not a guess." }, { "kind": "tool_call", "payload": { "tool": "fetch_sku_pricing", "args": { "sku": "WDG-003" } } }, { "kind": "reasoning", "payload": "Pricing for `WDG-003`: cost $6.75, MSRP $14.99." }, { "kind": "reasoning", "payload": "Grouping 3 reorder SKU(s) into supplier PO drafts (max 5 PO(s)) with priced line items." }, { "kind": "tool_call", "payload": { "tool": "draft_purchase_orders", "args": { "reorder_items": [ { "sku": "WDG-001", "product_name": "Standard Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-002", "product_name": "Mini Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 250, "recommended_order_qty": 2500, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" }, { "sku": "WDG-003", "product_name": "Jumbo Round Widget", "fulfillment_center_code": "FC-CENTRAL", "available": 50, "reorder_point": 200, "recommended_order_qty": 2000, "preferred_supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } ], "pricing_by_sku": { "WDG-001": { "cost_basis": "4.50", "msrp": "9.99" }, "WDG-002": { "cost_basis": "3.00", "msrp": "6.99" }, "WDG-003": { "cost_basis": "6.75", "msrp": "14.99" } }, "max_pos": 5 } } }, { "kind": "reasoning", "payload": "Drafted 1 PO(s) totaling $30000.00 estimated spend." }, { "kind": "reasoning", "payload": "Loading supplier `febbec24...` for PO routing \u2014 contact email, payment terms, lead time." }, { "kind": "tool_call", "payload": { "tool": "fetch_supplier", "args": { "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0" } } }, { "kind": "reasoning", "payload": "Supplier Acme Widget Supply Co. \u2014 orders@acme-widgets.example.com, terms net_30, lead 5 days." }, { "kind": "reasoning", "payload": "Phase 2 \u2014 receiving: checking partially received POs that may block payment." }, { "kind": "reasoning", "payload": "Checking for partially received POs with discrepancies \u2014 these often block clean three-way match later." }, { "kind": "tool_call", "payload": { "tool": "list_receiving_exceptions", "args": {} } }, { "kind": "reasoning", "payload": "Found 1 receiving exception PO(s)." }, { "kind": "reasoning", "payload": "Pulling PO `4e24c0b2...` details for receiving/AP context." }, { "kind": "tool_call", "payload": { "tool": "fetch_purchase_order", "args": { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } } }, { "kind": "reasoning", "payload": "PO `PO-000001` \u2014 status `partially_received`, 1 line(s), $225.00." }, { "kind": "reasoning", "payload": "Fetching receiving records for PO `4e24c0b2...`." }, { "kind": "tool_call", "payload": { "tool": "fetch_po_receipts", "args": { "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd" } } }, { "kind": "reasoning", "payload": "Found 1 receipt(s) on this PO." }, { "kind": "reasoning", "payload": "Phase 3 \u2014 payables: three-way match on pending and open supplier invoices." }, { "kind": "reasoning", "payload": "Pulling the supplier invoice pending-match queue for the pay leg of procure-to-pay." }, { "kind": "tool_call", "payload": { "tool": "list_pending_invoices", "args": {} } }, { "kind": "reasoning", "payload": "Pending-match queue: 0 invoice(s)." }, { "kind": "reasoning", "payload": "Scanning disputed and non-matched supplier invoices that still need AP attention." }, { "kind": "tool_call", "payload": { "tool": "list_open_payables", "args": {} } }, { "kind": "reasoning", "payload": "Found 1 open payable invoice(s) for review." }, { "kind": "reasoning", "payload": "Loading supplier invoice `ae266f26...` for three-way match." }, { "kind": "tool_call", "payload": { "tool": "fetch_supplier_invoice", "args": { "invoice_id": "ae266f26-3e01-4d0f-8519-1ce0132051ca" } } }, { "kind": "reasoning", "payload": "Invoice `INV-000001` \u2014 status `disputed`, match `disputed`, $225.00." }, { "kind": "reasoning", "payload": "Three-way match for invoice `INV-000001` against PO `PO-000001`." }, { "kind": "tool_call", "payload": { "tool": "compare_three_way", "args": { "purchase_order": { "id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "po_number": "PO-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "status": "partially_received", "total_amount": "225.00", "expected_delivery_date": "2026-06-30", "notes": "Simulated acknowledgement (confirmed)\nShipped SIM-196237\nShipped BACKFILL-PO-000001; receipt RCV-000001", "created_at": "2026-06-25T16:08:08.648544Z", "updated_at": "2026-06-27T17:06:31.802048Z", "line_items": [ { "id": "d6998f51-6982-4a35-b53a-b92058827669", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "sku": "WDG-001-S", "product_name": "Widget Small", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ] }, "receipts": [ { "id": "98ce7c8c-a670-415b-8c97-22131bf4aad3", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "receipt_number": "RCV-000001", "received_at": "2026-06-25T17:06:31.785201Z", "status": "partial", "line_items": [ { "sku": "WDG-001-S", "quantity_ordered": 50, "quantity_received": 45, "unit_cost": "4.50" } ] } ], "invoice": { "id": "ae266f26-3e01-4d0f-8519-1ce0132051ca", "invoice_number": "INV-000001", "supplier_id": "febbec24-756a-4987-8754-8772dbb965e0", "purchase_order_id": "4e24c0b2-29a9-4e24-a4ea-1693967830cd", "status": "disputed", "total_amount": "225.00", "invoice_date": "2026-06-27", "due_date": "2026-07-27", "line_items": [ { "sku": "WDG-001-S", "quantity": 50, "unit_cost": "4.50", "line_total": "225.00" } ], "match_status": "disputed", "discrepancies": [ { "type": "quantity_mismatch", "sku": "WDG-001-S", "po_quantity": 50, "received_quantity": 45, "invoiced_quantity": 50, "notes": "PO ordered 50; received 45; Supplier invoiced for 50; only 45 received" } ], "match_notes": "qty mismatch" } } } }, { "kind": "reasoning", "payload": "Match recommends `hold` \u2014 1 discrepancy(ies)." }, { "kind": "reasoning", "payload": "All phases complete. Composing the procure-to-pay action plan for ops and finance." } ], "tool_call_count": 14, "duration_ms": 338.4, "metrics": { "tokens": { "reasoning": 661, "report": 0, "tool_output": 1351, "total": 2012, "encoding": "cl100k_base" }, "tokens_per_second": 5946.4, "duration_ms": 338.4 } } ``` ### Sales Margin Analysis Margin analysis over the top products from the last 30 days, sampling 5 pages of orders (~2,500 rows). Shows client-side aggregation when GLC lacks a reporting endpoint. - **Inquiry:** Top products last 30 days with margin analysis - **Tool calls:** 4 - **Total tokens:** 3,340 - **Reasoning tokens:** 1,441 - **Tool output tokens:** 1,899 - **Wall time:** 1110 ms - **Throughput:** 3,009 tok/s #### Event stream 1. **Reasoning:** Sales expert starting. I'll interpret the request and run the right GLC lookups — product/pricing/stock, customer history, order drill-down, or sampled sales analytics as needed. 2. **Reasoning:** Reading the sales request to detect whether we're doing KPI reporting, top-SKU analysis, regional breakdown, customer lookup, order drill-down, or product/pricing intelligence. 3. **Tool call:** `parse_sales_request` ```json { "inquiry_text": "Top products last 30 days with margin analysis" } ``` 4. **Reasoning:** Parsed sales request — intents=['sales_analytics', 'top_products', 'margin_analysis'], days=30, top_n=10. 5. **Reasoning:** Pulling company-wide sales KPIs from GLC — total orders, revenue, average order value, and status mix. This is the exec headline. 6. **Tool call:** `fetch_orders_stats` ```json {} ``` 7. **Reasoning:** Global stats: 22258 orders, $15461636.22 revenue, AOV $694.66. 8. **Reasoning:** Sampling recent GLC orders (5 page(s)) and aggregating sales for the last 7 day(s) — top SKUs, regions, daily revenue with margin estimates. 9. **Tool call:** `analyze_recent_sales` ```json { "max_pages": 5, "days": 7, "top_n": 10, "include_margin": true, "states": null } ``` 10. **Reasoning:** Sampled 2500 orders — $1818080.58 revenue, 2500 in-window. 11. **Reasoning:** Listing active GLC promotions — useful for promo effectiveness and quote guidance. 12. **Tool call:** `list_promotions` ```json {} ``` 13. **Reasoning:** 1 active promotion(s). 14. **Reasoning:** Composing the final sales brief for Etch and the sales team. Handoff to Etch (compact expert tool result): • ok: True • intents: sales_analytics, top_products, margin_analysis • global_stats: 22258 orders · $15461636.22 revenue · $694.66 AOV • sample_analysis: 2500 in-window orders · $1818080.58 revenue · top SKU `WDG-012` • promotions: 1 active • sales_brief: 48 line(s) — included in JSON for Etch JSON returned to Etch: { "ok": true, "inquiry_text": "Top products last 30 days with margin analysis", "intents": [ "sales_analytics", "top_products", "margin_analysis" ], "global_stats": { "total": 22258, "total_revenue": "15461636.22", "avg_order_value": "694.66", "by_status": { "closed": 22256, "confirmed": 1, "cancelled": 1 } }, "sample_analysis": { "sample_meta": { "orders_sampled": 2500, "orders_in_window": 2500, "days": 7, "max_pages": 5, "page_size": 500, "state_filter": [] }, "metrics": { "order_count": 2500, "total_revenue": "1818080.58", "avg_order_value": "727.23", "units_sold": 30833, "top_skus": [ { "sku": "WDG-012", "product_name": "Reinforced Torque Widget (rating=torque, material=steel)", "units": 5980, "revenue": "538140.20" }, { "sku": "WDG-011", "product_name": "Industrial Plate Widget (12in) (size=12in, material=steel)", "units": 5652, "revenue": "423843.48" }, { "sku": "WDG-010", "product_name": "Industrial Plate Widget (10in) (size=10in, material=steel)", "units": 5639, "revenue": "338283.61" }, { "sku": "WDG-009", "product_name": "Glow LED Widget (feature=led, color=white)", "units": 1323, "revenue": "66136.77" }, { "sku": "WDG-001-L", "product_name": "Mega Widget (size=large, color=red)", "units": 1216, "revenue": "60787.84" } ], "top_states": [ { "state": "AZ", "order_count": 406, "revenue": "303454.14" }, { "state": "TX", "order_count": 342, "revenue": "245972.80" }, { "state": "WA", "order_count": 279, "revenue": "239393.63" }, { "state": "GA", "order_count": 305, "revenue": "229310.39" }, { "state": "OR", "order_count": 311, "revenue": "222465.29" } ], "daily_revenue": [ { "date": "2026-06-27", "order_count": 2500, "revenue": "1818080.58" } ], "promo_orders": 0, "discount_total": "0.00", "estimated_gross_margin_pct": "53.9", "margin_coverage_pct": 91.8 } }, "promotions": [ { "id": "7968af82-e0bc-414a-b4b2-c111529ba9a8", "name": "10% Off", "description": null, "discount_type": "percent", "discount_value": "10.00", "starts_at": null, "ends_at": null, "is_active": true, "created_at": "2026-06-25T15:55:17.371629Z" } ], "sales_brief": "GLC Sales Brief\n\n**Focus:** sales_analytics, top_products, margin_analysis\n\n## Company-wide KPIs (live `/orders/stats`)\n- Total orders: **22258**\n- Total revenue: **$15461636.22**\n- Average order value: **$694.66**\n- Status mix: cancelled: 1, closed: 22256, confirmed: 1\n\n## Sampled order analysis\n- Window: last **7** day(s) over **2500** orders (5 page(s) × 500)\n- Sample revenue: **$1818080.58** across **2500** orders (AOV $727.23)\n- Units sold in sample: **30833**\n- Estimated gross margin (priced SKUs only): **53.9%** (coverage 91.8%)\n\n### Top SKUs (samp … (truncated for display) #### Full trace JSON ```json { "ok": true, "handler": "respond", "session_id": "sales_respond_1782585825_6fd02c", "terminal_kind": "sales_result", "result": { "ok": true, "inquiry_text": "Top products last 30 days with margin analysis", "intents": [ "sales_analytics", "top_products", "margin_analysis" ], "global_stats": { "total": 22258, "total_revenue": "15461636.22", "avg_order_value": "694.66", "by_status": { "closed": 22256, "confirmed": 1, "cancelled": 1 } }, "sample_analysis": { "sample_meta": { "orders_sampled": 2500, "orders_in_window": 2500, "days": 7, "max_pages": 5, "page_size": 500, "state_filter": [] }, "metrics": { "order_count": 2500, "total_revenue": "1818080.58", "avg_order_value": "727.23", "units_sold": 30833, "top_skus": [ { "sku": "WDG-012", "product_name": "Reinforced Torque Widget (rating=torque, material=steel)", "units": 5980, "revenue": "538140.20" }, { "sku": "WDG-011", "product_name": "Industrial Plate Widget (12in) (size=12in, material=steel)", "units": 5652, "revenue": "423843.48" }, { "sku": "WDG-010", "product_name": "Industrial Plate Widget (10in) (size=10in, material=steel)", "units": 5639, "revenue": "338283.61" }, { "sku": "WDG-009", "product_name": "Glow LED Widget (feature=led, color=white)", "units": 1323, "revenue": "66136.77" }, { "sku": "WDG-001-L", "product_name": "Mega Widget (size=large, color=red)", "units": 1216, "revenue": "60787.84" }, { "sku": "WDG-007", "product_name": "Deluxe Hex Widget (Gold) (shape=hex, color=gold)", "units": 1233, "revenue": "55472.67" }, { "sku": "WDG-008", "product_name": "Crystal Prism Widget (shape=prism, color=clear)", "units": 1124, "revenue": "44948.76" }, { "sku": "WDG-006", "product_name": "Deluxe Hex Widget (Black) (shape=hex, color=black)", "units": 1120, "revenue": "39188.80" }, { "sku": "WDG-001-S", "product_name": "Mega Widget (size=small, color=blue)", "units": 1248, "revenue": "31120.06" }, { "sku": "WDG-003", "product_name": "Jumbo Round Widget (size=large, color=silver)", "units": 1295, "revenue": "19412.05" } ], "top_states": [ { "state": "AZ", "order_count": 406, "revenue": "303454.14" }, { "state": "TX", "order_count": 342, "revenue": "245972.80" }, { "state": "WA", "order_count": 279, "revenue": "239393.63" }, { "state": "GA", "order_count": 305, "revenue": "229310.39" }, { "state": "OR", "order_count": 311, "revenue": "222465.29" }, { "state": "CO", "order_count": 340, "revenue": "221474.16" }, { "state": "IL", "order_count": 283, "revenue": "184999.21" }, { "state": "MA", "order_count": 234, "revenue": "171010.96" } ], "daily_revenue": [ { "date": "2026-06-27", "order_count": 2500, "revenue": "1818080.58" } ], "promo_orders": 0, "discount_total": "0.00", "estimated_gross_margin_pct": "53.9", "margin_coverage_pct": 91.8 } }, "promotions": [ { "id": "7968af82-e0bc-414a-b4b2-c111529ba9a8", "name": "10% Off", "description": null, "discount_type": "percent", "discount_value": "10.00", "starts_at": null, "ends_at": null, "is_active": true, "created_at": "2026-06-25T15:55:17.371629Z" } ], "sales_brief": "GLC Sales Brief\n\n**Focus:** sales_analytics, top_products, margin_analysis\n\n## Company-wide KPIs (live `/orders/stats`)\n- Total orders: **22258**\n- Total revenue: **$15461636.22**\n- Average order value: **$694.66**\n- Status mix: cancelled: 1, closed: 22256, confirmed: 1\n\n## Sampled order analysis\n- Window: last **7** day(s) over **2500** orders (5 page(s) \u00d7 500)\n- Sample revenue: **$1818080.58** across **2500** orders (AOV $727.23)\n- Units sold in sample: **30833**\n- Estimated gross margin (priced SKUs only): **53.9%** (coverage 91.8%)\n\n### Top SKUs (sample)\n1. `WDG-012` \u2014 Reinforced Torque Widget (rating=torque, material=steel) \u2014 5980 units, $538140.20\n2. `WDG-011` \u2014 Industrial Plate Widget (12in) (size=12in, material=steel) \u2014 5652 units, $423843.48\n3. `WDG-010` \u2014 Industrial Plate Widget (10in) (size=10in, material=steel) \u2014 5639 units, $338283.61\n4. `WDG-009` \u2014 Glow LED Widget (feature=led, color=white) \u2014 1323 units, $66136.77\n5. `WDG-001-L` \u2014 Mega Widget (size=large, color=red) \u2014 1216 units, $60787.84\n6. `WDG-007` \u2014 Deluxe Hex Widget (Gold) (shape=hex, color=gold) \u2014 1233 units, $55472.67\n7. `WDG-008` \u2014 Crystal Prism Widget (shape=prism, color=clear) \u2014 1124 units, $44948.76\n8. `WDG-006` \u2014 Deluxe Hex Widget (Black) (shape=hex, color=black) \u2014 1120 units, $39188.80\n9. `WDG-001-S` \u2014 Mega Widget (size=small, color=blue) \u2014 1248 units, $31120.06\n10. `WDG-003` \u2014 Jumbo Round Widget (size=large, color=silver) \u2014 1295 units, $19412.05\n\n### Top states (sample)\n1. **AZ** \u2014 406 orders, $303454.14\n2. **TX** \u2014 342 orders, $245972.80\n3. **WA** \u2014 279 orders, $239393.63\n4. **GA** \u2014 305 orders, $229310.39\n5. **OR** \u2014 311 orders, $222465.29\n6. **CO** \u2014 340 orders, $221474.16\n7. **IL** \u2014 283 orders, $184999.21\n8. **MA** \u2014 234 orders, $171010.96\n\n### Daily revenue (sample)\n- 2026-06-27: 2500 orders, $1818080.58\n\n## Active promotions\n- **10% Off** \u2014 percent\n\n## Recommended follow-ups\n1. Double-check inventory for top seller `WDG-012` before the next promo push.\n2. Review fulfillment capacity for **AZ** \u2014 highest sample revenue state.\n3. Compare sampled trends against company-wide `/orders/stats` before leadership readout." }, "trace": [ { "kind": "reasoning", "payload": "Sales expert starting. I'll interpret the request and run the right GLC lookups \u2014 product/pricing/stock, customer history, order drill-down, or sampled sales analytics as needed." }, { "kind": "reasoning", "payload": "Reading the sales request to detect whether we're doing KPI reporting, top-SKU analysis, regional breakdown, customer lookup, order drill-down, or product/pricing intelligence." }, { "kind": "tool_call", "payload": { "tool": "parse_sales_request", "args": { "inquiry_text": "Top products last 30 days with margin analysis" } } }, { "kind": "reasoning", "payload": "Parsed sales request \u2014 intents=['sales_analytics', 'top_products', 'margin_analysis'], days=30, top_n=10." }, { "kind": "reasoning", "payload": "Pulling company-wide sales KPIs from GLC \u2014 total orders, revenue, average order value, and status mix. This is the exec headline." }, { "kind": "tool_call", "payload": { "tool": "fetch_orders_stats", "args": {} } }, { "kind": "reasoning", "payload": "Global stats: 22258 orders, $15461636.22 revenue, AOV $694.66." }, { "kind": "reasoning", "payload": "Sampling recent GLC orders (5 page(s)) and aggregating sales for the last 7 day(s) \u2014 top SKUs, regions, daily revenue with margin estimates." }, { "kind": "tool_call", "payload": { "tool": "analyze_recent_sales", "args": { "max_pages": 5, "days": 7, "top_n": 10, "include_margin": true, "states": null } } }, { "kind": "reasoning", "payload": "Sampled 2500 orders \u2014 $1818080.58 revenue, 2500 in-window." }, { "kind": "reasoning", "payload": "Listing active GLC promotions \u2014 useful for promo effectiveness and quote guidance." }, { "kind": "tool_call", "payload": { "tool": "list_promotions", "args": {} } }, { "kind": "reasoning", "payload": "1 active promotion(s)." }, { "kind": "reasoning", "payload": "Composing the final sales brief for Etch and the sales team.\n\nHandoff to Etch (compact expert tool result):\n\n\u2022 ok: True\n\u2022 intents: sales_analytics, top_products, margin_analysis\n\u2022 global_stats: 22258 orders \u00b7 $15461636.22 revenue \u00b7 $694.66 AOV\n\u2022 sample_analysis: 2500 in-window orders \u00b7 $1818080.58 revenue \u00b7 top SKU `WDG-012`\n\u2022 promotions: 1 active\n\u2022 sales_brief: 48 line(s) \u2014 included in JSON for Etch\n\nJSON returned to Etch:\n{\n \"ok\": true,\n \"inquiry_text\": \"Top products last 30 days with margin analysis\",\n \"intents\": [\n \"sales_analytics\",\n \"top_products\",\n \"margin_analysis\"\n ],\n \"global_stats\": {\n \"total\": 22258,\n \"total_revenue\": \"15461636.22\",\n \"avg_order_value\": \"694.66\",\n \"by_status\": {\n \"closed\": 22256,\n \"confirmed\": 1,\n \"cancelled\": 1\n }\n },\n \"sample_analysis\": {\n \"sample_meta\": {\n \"orders_sampled\": 2500,\n \"orders_in_window\": 2500,\n \"days\": 7,\n \"max_pages\": 5,\n \"page_size\": 500,\n \"state_filter\": []\n },\n \"metrics\": {\n \"order_count\": 2500,\n \"total_revenue\": \"1818080.58\",\n \"avg_order_value\": \"727.23\",\n \"units_sold\": 30833,\n \"top_skus\": [\n {\n \"sku\": \"WDG-012\",\n \"product_name\": \"Reinforced Torque Widget (rating=torque, material=steel)\",\n \"units\": 5980,\n \"revenue\": \"538140.20\"\n },\n {\n \"sku\": \"WDG-011\",\n \"product_name\": \"Industrial Plate Widget (12in) (size=12in, material=steel)\",\n \"units\": 5652,\n \"revenue\": \"423843.48\"\n },\n {\n \"sku\": \"WDG-010\",\n \"product_name\": \"Industrial Plate Widget (10in) (size=10in, material=steel)\",\n \"units\": 5639,\n \"revenue\": \"338283.61\"\n },\n {\n \"sku\": \"WDG-009\",\n \"product_name\": \"Glow LED Widget (feature=led, color=white)\",\n \"units\": 1323,\n \"revenue\": \"66136.77\"\n },\n {\n \"sku\": \"WDG-001-L\",\n \"product_name\": \"Mega Widget (size=large, color=red)\",\n \"units\": 1216,\n \"revenue\": \"60787.84\"\n }\n ],\n \"top_states\": [\n {\n \"state\": \"AZ\",\n \"order_count\": 406,\n \"revenue\": \"303454.14\"\n },\n {\n \"state\": \"TX\",\n \"order_count\": 342,\n \"revenue\": \"245972.80\"\n },\n {\n \"state\": \"WA\",\n \"order_count\": 279,\n \"revenue\": \"239393.63\"\n },\n {\n \"state\": \"GA\",\n \"order_count\": 305,\n \"revenue\": \"229310.39\"\n },\n {\n \"state\": \"OR\",\n \"order_count\": 311,\n \"revenue\": \"222465.29\"\n }\n ],\n \"daily_revenue\": [\n {\n \"date\": \"2026-06-27\",\n \"order_count\": 2500,\n \"revenue\": \"1818080.58\"\n }\n ],\n \"promo_orders\": 0,\n \"discount_total\": \"0.00\",\n \"estimated_gross_margin_pct\": \"53.9\",\n \"margin_coverage_pct\": 91.8\n }\n },\n \"promotions\": [\n {\n \"id\": \"7968af82-e0bc-414a-b4b2-c111529ba9a8\",\n \"name\": \"10% Off\",\n \"description\": null,\n \"discount_type\": \"percent\",\n \"discount_value\": \"10.00\",\n \"starts_at\": null,\n \"ends_at\": null,\n \"is_active\": true,\n \"created_at\": \"2026-06-25T15:55:17.371629Z\"\n }\n ],\n \"sales_brief\": \"GLC Sales Brief\\n\\n**Focus:** sales_analytics, top_products, margin_analysis\\n\\n## Company-wide KPIs (live `/orders/stats`)\\n- Total orders: **22258**\\n- Total revenue: **$15461636.22**\\n- Average order value: **$694.66**\\n- Status mix: cancelled: 1, closed: 22256, confirmed: 1\\n\\n## Sampled order analysis\\n- Window: last **7** day(s) over **2500** orders (5 page(s) \u00d7 500)\\n- Sample revenue: **$1818080.58** across **2500** orders (AOV $727.23)\\n- Units sold in sample: **30833**\\n- Estimated gross margin (priced SKUs only): **53.9%** (coverage 91.8%)\\n\\n### Top SKUs (samp\n \u2026 (truncated for display)" } ], "tool_call_count": 4, "duration_ms": 1110.1, "metrics": { "tokens": { "reasoning": 1441, "report": 0, "tool_output": 1899, "total": 3340, "encoding": "cl100k_base" }, "tokens_per_second": 3008.7, "duration_ms": 1110.1 } } ``` --- ## Etch SDK reference Experts are built with the Etch SDK (`etch_sdk/` in the parent repo). Each expert: 1. Defines tools that call GLC HTTP APIs or local logic. 2. Emits `reasoning`, `tool_call`, and `tool_result` events via the SDK. 3. Returns structured JSON (`result`) for Etch to narrate. The blockchain detective example in `etch_sdk/examples/blockchain_detective_example.txt` shows a long deterministic trace (~195 tool calls) as contrast for complex investigative workflows. --- *End of llms.txt*