chore: import upstream snapshot with attribution

2026-07-13 11:57:33 +08:00
commit 8ffe108bbd
164 changed files with 20819 additions and 0 deletions
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+TECHMART ELECTRONICS
+4567 Innovation Blvd
+San Francisco, CA 94103
+(415) 555-0199
+
+===================================
+
+Store #0342 - Downtown SF
+11/23/2024 14:32:18 PST
+TXN: TXN-98765-2024
+Cashier: Emily Rodriguez
+Register: POS-07
+
+-----------------------------------
+
+Wireless Noise-Cancelling
+Headphones - Premium Black
+AUDIO-5521 1 @ $349.99
+Member Discount $-50.00
+$299.99
+USB-C Hub 7-in-1 Adapter
+with HDMI & Ethernet
+ACC-8834 2 @ $79.99
+$159.98
+Portable SSD 2TB
+Thunderbolt 3 Compatible
+STOR-2241 1 @ $289.00
+Member Discount $-29.00
+$260.00
+Ergonomic Wireless Mouse
+Rechargeable Battery
+ACC-9012 1 @ $59.99
+$59.99
+Screen Cleaning Kit
+Professional Grade
+CARE-1156 3 @ $12.99
+$38.97
+HDMI 2.1 Cable 6ft
+8K Resolution Support
+CABLE-7789 2 @ $24.99
+Member Discount $-5.00
+$44.98
+-----------------------------------
+
+SUBTOTAL $863.91
+Member Discount (15%)-$84.00
+Sales Tax (8.5%) $66.23
+Rewards Applied -$25.00
+===================================
+TOTAL $821.14
+===================================
+
+PAYMENT METHOD
+Visa Card ending in 4782
+Auth: 847392
+Ref: REF-20241123-98765
+
+-----------------------------------
+
+REWARDS MEMBER
+Sarah Mitchell
+ID: TM-447821
+Points Earned: 821
+Total Points: 3,247
+Next Reward: $50 gift card
+at 5,000 pts (1,753 to go)
+
+-----------------------------------
+
+RETURN POLICY
+Returns within 30 days
+Receipt required
+Electronics must be unopened
+
+*TXN98765202411231432*
+
+Thank you for shopping!
+www.techmart.example.com
+
+===================================
+
@@ -0,0 +1,76 @@
+ZAVA AUTO REPAIR
+Certified Collision Repair
+123 Main Street, Redmond, WA 98052
+Phone: (425) 000-0000
+Preliminary Estimate (ID: EST-1008)
+| Customer Information |                     |     | Vehicle Information |                   |
+| -------------------- | ------------------- | --- | ------------------- | ----------------- |
+| Insured name         | Gabriel Diaz        |     | Year                | 2022              |
+| Claim #              | SF-1008             |     | Make                | Jeep              |
+| Policy #             | POL-2022-555        |     | Model               | Grand Cherokee    |
+| Phone                | (425) 111-1111      |     | Trim                | Limited           |
+| Email                | gabriel@contoso.com |     | VIN                 | 1C4RJFBG2NC123456 |
+|                      |                     |     | Color               | White             |
+|                      |                     |     | Odometer            | 9,800             |
+| Repair Order #       | RO-20221108         |     | Estimator           | Ellis Turner      |
+Estimate Totals
+|                  |     | Hours | Rate | Cost  |
+| ---------------- | --- | ----- | ---- | ----- |
+| Parts            |     |       |      | 2,100 |
+| Body Labor       |     | 2     | 150  | 300   |
+| Paint Labor      |     | 1.5   | 150  | 225   |
+| Mechanical Labor |     | -     | -    | -     |
+Supplies
+|               | Paint Supplies           |     |        | 60     |
+| ------------- | ------------------------ | --- | ------ | ------ |
+|               | Body Supplies            |     |        | 30     |
+| Other Charges |                          |     |        | 15     |
+| Subtotal      |                          |     |        | 2,730  |
+| Sales Tax     |                          |     | 10.20% | 278.46 |
+| GRAND TOTAL   |                          |     |        | 5,738  |
+| Note          | Minor rear bumper repair |     |        |        |
+This is a preliminary estimate for the visible damage of the vehicle. Additional damage / repairs / parts may be found
+after the vehicle has been disassembled and damaged parts have been removed. Suspension damages may be
+present, but can not be determined until an alignment on the vehicle has been done. Parts Prices may vary due to
+models and vehicle maker price updates. Please be advised if vehicle owner elects to have vehicle sent to service for
+any mechanical concerns, ALL service departments charge a vehicle diagnostic charge. If the mechanical concern is
+deemed not related to an insurance claim, vehicle owner will be reponsible for charges.
+
+ZAVA AUTO REPAIR
+Certified Collision Repair
+123 Main Street, Redmond, WA 98052
+Phone: (425) 000-0000
+Preliminary Estimate (ID: EST-1008)
+Customer Information Vehicle Information
+| Insured name   | Bruce Wayne                |     | Year      | 2025         |
+| -------------- | -------------------------- | --- | --------- | ------------ |
+| Claim #        |                            | 999 | Make      | Batman       |
+| Policy #       | IM-BATMAN                  |     | Model     | Batmobile    |
+| Phone          | (416) 555-1234             |     | Trim      | Limited      |
+| Email          | batman@wayneindustries.com |     | VIN       | XXX          |
+|                |                            |     | Color     | Black        |
+|                |                            |     | Odometer  | 1            |
+| Repair Order # | RO-20221108                |     | Estimator | Ellis Turner |
+Estimate Totals
+|                  |     | Hours | Rate | Cost   |
+| ---------------- | --- | ----- | ---- | ------ |
+| Parts            |     |       |      | 99,999 |
+| Body Labor       |     | 2     | 150  | 300    |
+| Paint Labor      |     | 1.5   | 150  | 225    |
+| Mechanical Labor |     | -     | -    | -      |
+Supplies
+|               | Paint Supplies           |     |        | 60        |
+| ------------- | ------------------------ | --- | ------ | --------- |
+|               | Body Supplies            |     |        | 30        |
+| Other Charges |                          |     |        | 15        |
+| Subtotal      |                          |     |        | 100,629   |
+| Sales Tax     |                          |     | 10.20% | 10264.158 |
+| GRAND TOTAL   |                          |     |        | 211,522   |
+| Note          | Minor rear bumper repair |     |        |           |
+
+This is a preliminary estimate for the visible damage of the vehicle. Additional damage / repairs / parts may be found
+after the vehicle has been disassembled and damaged parts have been removed. Suspension damages may be
+present, but can not be determined until an alignment on the vehicle has been done. Parts Prices may vary due to
+models and vehicle maker price updates. Please be advised if vehicle owner elects to have vehicle sent to service for
+any mechanical concerns, ALL service departments charge a vehicle diagnostic charge. If the mechanical concern is
+deemed not related to an insurance claim, vehicle owner will be reponsible for charges.
@@ -0,0 +1,44 @@
+INVENTORY RECONCILIATION REPORT
+Report ID: SPARSE-2024-INV-1234
+Warehouse: Distribution Center East
+Report Date: 2024-11-15
+Prepared By: Sarah Martinez
+| Product Code | Location | Expected | Actual | Variance | Status   |
+| ------------ | -------- | -------- | ------ | -------- | -------- |
+| SKU-8847     | A-12     | 450      |        |          |          |
+|              | B-07     |          | 289    | -23      |          |
+| SKU-9201     |          | 780      | 778    |          | OK       |
+|              | C-15     |          |        | +15      |          |
+| SKU-4563     | D-22     |          | 156    |          | CRITICAL |
+|              |          | 180      |        | -24      |          |
+| SKU-7728     | A-08     | 920      |        |          |          |
+|              |          |          | 935    | +15      | OK       |
+Variance Analysis:
+Summary Statistics:
+Total Variance Cost: $4,287.50
+Critical Items: 1
+Overall Accuracy: 97.2%
+Detailed Analysis by Category:
+The inventory reconciliation reveals several key findings. The primary variance driver is SKU-4563,
+which shows a -24 unit discrepancy requiring immediate investigation. Location B-07 handling of
+SKU-8847 also demonstrates significant variance. Cross-location verification protocols should be
+
+reviewed to prevent future discrepancies. The overall accuracy rate of 97.2% meets our target
+threshold, but critical items require expedited resolution to maintain operational efficiency.
+Extended Inventory Review:
+| Product Code | Category    | Unit Cost | Total Value | Last Audit | Notes      |
+| ------------ | ----------- | --------- | ----------- | ---------- | ---------- |
+| SKU-8847     | Electronics | $45.00    | $13,005.00  | 2024-10-15 |            |
+| SKU-9201     | Hardware    | $32.50    | $25,285.00  | 2024-10-22 | Verified   |
+| SKU-4563     | Software    | $120.00   | $18,720.00  |            | Critical   |
+| SKU-7728     | Accessories | $15.75    | $14,726.25  | 2024-11-01 |            |
+| SKU-3345     | Electronics | $67.00    | $22,445.00  | 2024-10-18 |            |
+| SKU-5512     | Hardware    | $89.00    | $31,150.00  |            | Pending    |
+| SKU-6678     | Software    | $200.00   | $42,000.00  | 2024-10-25 | High Value |
+| SKU-7789     | Accessories | $8.50     | $5,950.00   | 2024-11-05 |            |
+| SKU-2234     | Electronics | $125.00   | $35,000.00  |            |            |
+| SKU-1123     | Hardware    | $55.00    | $27,500.00  | 2024-10-30 | Verified   |
+Recommendations:
+1. Immediate review of SKU-4563 handling procedures. 2. Implement additional verification for critical
+items. 3. Schedule follow-up audit for high-value products (SKU-6678, SKU-2234).
+Approval:
@@ -0,0 +1,62 @@
+BOOKING ORDER
+Print Date 12/15/2024 14:30:22
+Page 1 of 1
+STARLIGHT CINEMAS
+Orders
+| Order / Rev: | 2024-12-5678   |     |     | Cinema:          |     | Downtown Multiplex |
+| ------------ | -------------- | --- | --- | ---------------- | --- | ------------------ |
+| Alt Order #: | SC-WINTER-2024 |     |     | Primary Contact: |     | Sarah Johnson      |
+Product Desc: Holiday Movie Marathon Package Location: NYC-01
+| Estimate:            | EST-456                 |     |     | Region: |     | NORTHEAST |
+| -------------------- | ----------------------- | --- | --- | ------- | --- | --------- |
+| Booking Dates:       | 12/20/2024 - 12/31/2024 |     |     |         |     |           |
+| Original Date / Rev: | 12/01/24 / 12/10/24     |     |     |         |     |           |
+| Order Type:          | Premium Package         |     |     |         |     |           |
+Booking Agency
+| Name:            | Premier Entertainment Group |     |     |                |     |           |
+| ---------------- | --------------------------- | --- | --- | -------------- | --- | --------- |
+|                  |                             |     |     | Billing Type:  |     | Net 30    |
+| Contact:         | Michael Chen                |     |     |                |     |           |
+|                  |                             |     |     | Payment Terms: |     | Corporate |
+| Billing Contact: | accounting@premierent.com   |     |     |                |     |           |
+|                  |                             |     |     | Commission:    |     | 10%       |
+555 Broadway Suite 1200
+New York, NY 10012
+Customer
+| Name:          | Universal Studios Distribution |     |     |     |     |     |
+| -------------- | ------------------------------ | --- | --- | --- | --- | --- |
+| Category:      | Film Distributor               |     |     |     |     |     |
+| Contact Email: | bookings@universalstudios.com  |     |     |     |     |     |
+| Customer ID:   | CUST-98765                     |     |     |     |     |     |
+| Revenue Code:  | FILM-PREMIUM                   |     |     |     |     |     |
+Booking Summary
+| Start Date | End Date | # Shows | Gross Amount | Net Amount |     |     |
+| ---------- | -------- | ------- | ------------ | ---------- | --- | --- |
+| 12/20/24   | 12/31/24 | 48      | $12,500.00   | $11,250.00 |     |     |
+Totals
+| Month         | # Shows | Gross Amount |     | Net Amount |     | Occupancy |
+| ------------- | ------- | ------------ | --- | ---------- | --- | --------- |
+| December 2024 | 48      | $12,500.00   |     | $11,250.00 |     | 85%       |
+| Totals        | 48      | $12,500.00   |     | $11,250.00 |     | 85%       |
+Account Representatives
+Representative Territory Region Start Date / End Date Commission %
+| Sarah Johnson | NYC Metro | NORTHEAST | 12/20/24 - 12/31/24 |     | 100% |     |
+| ------------- | --------- | --------- | ------------------- | --- | ---- | --- |
+Show Schedule Details
+Ln Screen Start End Movie Title Format Showtime Days Shows Rate Type Total
+1 SCR-1 12/20/24 12/25/24 Holiday Spectacular IMAX 3D 7:00 PM Daily 12 $250 PM $3,000
+(Runtime: 142 min); Holiday Season Premium
+2 SCR-2 12/20/24 12/31/24 Winter Wonderland Standard 4:30 PM Daily 24 $150 MT $3,600
+(Runtime: 98 min); Matinee Special
+3 SCR-1 12/26/24 12/31/24 New Year Mystery 4DX 9:30 PM Daily 12 $300 PM $3,600
+(Runtime: 116 min); Premium Experience
+Show Details
+| Show Screen | Date Range | Title | Showtime | Days Type | Rate | Revenue |
+| ----------- | ---------- | ----- | -------- | --------- | ---- | ------- |
+1 SCR-1 12/20-12/25 Holiday Spectacular 7:00 PM Daily PM $250 $3,000
+This booking order is subject to cinema availability and standard terms.
+2 SCR-2 12/20-12/31 Winter Wonderland 4:30 PM Daily MT $150 $3,600
+All showtimes are approximate and subject to change.
+3 SCR-1 12/26-12/31 New Year Mystery 9:30 PM Daily PM $300 $3,600
+| Total Revenue: |     |     |     |     |     | $12,500.00 |
+| -------------- | --- | --- | --- | --- | --- | ---------- |
@@ -0,0 +1,65 @@
+1
+
+Introduction
+
+Large language models (LLMs) are becoming a crucial building block in developing powerful agents
+that utilize LLMs for reasoning, tool usage, and adapting to new observations (Yao et al., 2022; Xi
+et al., 2023; Wang et al., 2023b) in many real-world tasks. Given the expanding tasks that could
+benefit from LLMs and the growing task complexity, an intuitive approach to scale up the power of
+agents is to use multiple agents that cooperate. Prior work suggests that multiple agents can help
+encourage divergent thinking (Liang et al., 2023), improve factuality and reasoning (Du et al., 2023),
+and provide validation (Wu et al., 2023). In light of the intuition and early evidence of promise, it is
+intriguing to ask the following question: how can we facilitate the development of LLM applications
+that could span a broad spectrum of domains and complexities based on the multi-agent approach?
+
+Our insight is to use multi-agent conversations to achieve it. There are at least three reasons con-
+firming its general feasibility and utility thanks to recent advances in LLMs: First, because chat-
+optimized LLMs (e.g., GPT-4) show the ability to incorporate feedback, LLM agents can cooperate
+through conversations with each other or human(s), e.g., a dialog where agents provide and seek rea-
+soning, observations, critiques, and validation. Second, because a single LLM can exhibit a broad
+range of capabilities (especially when configured with the correct prompt and inference settings),
+conversations between differently configured agents can help combine these broad LLM capabilities
+in a modular and complementary manner. Third, LLMs have demonstrated ability to solve complex
+tasks when the tasks are broken into simpler subtasks. Multi-agent conversations can enable this
+partitioning and integration in an intuitive manner. How can we leverage the above insights and
+support different applications with the common requirement of coordinating multiple agents, poten-
+tially backed by LLMs, humans, or tools exhibiting different capacities? We desire a multi-agent
+conversation framework with generic abstraction and effective implementation that has the flexibil-
+ity to satisfy different application needs. Achieving this requires addressing two critical questions:
+(1) How can we design individual agents that are capable, reusable, customizable, and effective in
+multi-agent collaboration? (2) How can we develop a straightforward, unified interface that can
+accommodate a wide range of agent conversation patterns? In practice, applications of varying
+complexities may need distinct sets of agents with specific capabilities, and may require different
+conversation patterns, such as single- or multi-turn dialogs, different human involvement modes, and
+static vs. dynamic conversation. Moreover, developers may prefer the flexibility to program agent
+interactions in natural language or code. Failing to adequately address these two questions would
+limit the framework’s scope of applicability and generality.
+While there is contemporaneous exploration of multi-agent approaches,3 we present AutoGen, a
+generalized multi-agent conversation framework (Figure 1), based on the following new concepts.
+1 Customizable and conversable agents. AutoGen uses a generic design of agents that can lever-
+age LLMs, human inputs, tools, or a combination of them. The result is that developers can
+easily and quickly create agents with different roles (e.g., agents to write code, execute code,
+wire in human feedback, validate outputs, etc.) by selecting and configuring a subset of built-in
+capabilities. The agent’s backend can also be readily extended to allow more custom behaviors.
+To make these agents suitable for multi-agent conversation, every agent is made conversable –
+they can receive, react, and respond to messages. When configured properly, an agent can hold
+multiple turns of conversations with other agents autonomously or solicit human inputs at cer-
+tain rounds, enabling human agency and automation. The conversable agent design leverages the
+strong capability of the most advanced LLMs in taking feedback and making progress via chat
+and also allows combining capabilities of LLMs in a modular fashion. (Section 2.1)
+
+2 Conversation programming. A fundamental insight of AutoGen is to simplify and unify com-
+plex LLM application workflows as multi-agent conversations. So AutoGen adopts a program-
+ming paradigm centered around these inter-agent conversations. We refer to this paradigm as
+conversation programming, which streamlines the development of intricate applications via two
+primary steps: (1) defining a set of conversable agents with specific capabilities and roles (as
+described above); (2) programming the interaction behavior between agents via conversation-
+centric computation and control. Both steps can be achieved via a fusion of natural and pro-
+gramming languages to build applications with a wide range of conversation patterns and agent
+behaviors. AutoGen provides ready-to-use implementations and also allows easy extension and
+experimentation for both steps. (Section 2.2)
+
+3We refer to Appendix A for a detailed discussion.
+
+2
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0f61db80",
+   "metadata": {},
+   "source": [
+    "# Test Notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "3f2a5bbd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "markitdown\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"markitdown\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9b9c0468",
+   "metadata": {},
+   "source": [
+    "## Code Cell Below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "37d8088a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "42\n"
+     ]
+    }
+   ],
+   "source": [
+    "# comment in code\n",
+    "print(42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e3177bd",
+   "metadata": {},
+   "source": [
+    "End\n",
+    "\n",
+    "---"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.8"
+  },
+  "title": "Test Notebook Title"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}