Factory拥有发布 Droid 1.0，是"Factory Droid agent"牵引装置中最大的更新。 主要变化是程序工具调用，现在默认调用。 该模型写一个程序，运行其工具。 一个模型请求现在可以驱动数百个工具呼叫。
TL；数据
- 大小：基数提示是13 055个输入符，比20 887个下降了37%。 只有两个工具定义在前面，从11。
- 运行在：macOS和Windows桌面应用，一个终端UI，以及节点SDK@factory/droid-sdk. 使用任何支持的模型，包括您自己的 API 密钥。
- 性能：每台吊带工厂通过测试的通过率最高，采用同一型号，成本较低。
- 最佳：在Bench 4号航站楼65.2%,Claude Opus 5.5，每个通过的任务4.73美元(自报)。
- 最糟糕的是：用GPT-6.1 Sol,Droid每次通过的任务比Codex要长10%.
什么是1.0机器人吗？
Droid 1.0是来自Factory公司的一种模型独立编码agent的吊带。 工厂将绳子定义为模型周围的一切。 这意味着提示，工具，工具结果如何返回，以及循环。 用户选择一个模型或让Factory Router选择一个成本效益高的组合。
方案工具如何调用？
在标准循环中，每个工具都会在模型上下文中输出获得。 通过程序工具调用(PTC)，模型会写一个程序。 Droid将此作为脚本工具执行。 模型写着在沙盒中运行的JavaScript. 沙盒没有自己的文件，网络或系统访问。
原始文件，搜索结果，日志留在程序内部。 只有打印输出返回模型。 独立电话同时运行。
该想法以《守则法》(Wang等人，2024年)为基础。 工厂报告其会议的结果：
- 单位测试固定：15个工具呼叫取了5个型号呼叫而不是10个。 任务在41.6s而不是56.8s完成。
- 线性清理：在312个工具呼叫中移动和核实151个问题。 文稿使用了2个请求和约6.1万个令牌。 工厂模型在36个请求和约3.1M个令牌下直接呼叫。
- CI扫射：5,384个工作，共547个，有2个请求。 不到0.1%的工具结果达到了模型的背景。
在Claude Opus 5.5上，脚本模式削减Droid的成本比直接工具调用成本低15%. 它默认用于10种型号，包括GPT-6.1 Sol和Kimi K3.
Droid 1.0在Bench 4终端的得分如何？
工厂用同一型号对机器人进行操纵从2026年10月23日到28日，每个牵引装置每次任务进行3次试验。 只有所有三个审判中都通过的任务，才算成本和时间。
- Claude Opus 5.5：机器人得分65.2%. Cursor和OpenCode得分62.1%,Devin59.6%,Claude Code57.6%. 机器人的成本最高可降低24%.
- GPT-6.1 Sol：机器人得分57.6%，每通过任务0.79美元。 Codex分数54.0%,OpenCode51.0%,Devin45.0%.
- 速度：在Opus 5.5上，Droid每次通过任务的时间减少16%至26%. 对Claude Code，它也使用减少17%的代币。
带子上还有什么变化？
大多数变化来自内部的Agent工厂环路。 Agents读取失败并提议更改，在每个受影响的模型家族进行测试。 工程师审查和合并。
- 快速缓存：新装入的工具附在请求端。 典型的制作请求读取了缓存输入的98%.
- 莱纳第一次请求：工具定义下降46%。 很少使用的工具现在按要求装载。
- 受约束的自主性：3个相同的工具呼叫触发一个推力，6个停止循环。 压缩摘要现在持有16000个代币，从8000个上升。
- 应用耐用性：第一次油漆从1 839毫秒下降到488毫秒。 每个额外的会话现在新增大约是20 MB，而不是350 MB.
比较：Droid 1.0 vs 其他编码 agent 牵引装置
* Terminal-Bench 4 数字是工厂本身的运行量，从其方法部分看。
开发者如何尝试？
作为桌面应用程序和终端UI的Droid 1.0飞船。 Droid SDK从节点运行同样的吊带，有会话，流线和MCP工具。 每月20美元开始支付计划。
关键外卖
-Droid 1.0使程序工具调用默认值。
- 1 Script每个模型请求可以运行数百个工具呼叫。
- 65.2%在Bench 4号航站楼与Opus 5.5号航站楼，自报。
- 基期速率降低37%，到13,055个令牌。
- Codex仍然以GPT-6.1 Sol的速度获胜。
检查整个工厂的研究站，GitHub上的Droid SDK和Droid Docs. 并加入我们的通讯。 等等你在电报里吗现在你也可以加入我们的电报。
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本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
Factory has released Droid 1.0, the largest update yet to the Factory Droid agent harness. The main change is programmatic tool calling, now on by default. The model writes a program that runs its tools. One model request can now drive hundreds of tool calls.
TL;DR
- Size: Base prompt is 13,055 input tokens, down 37% from 20,887. Only 2 tool definitions ship up front, down from 11.
- Runs on: macOS and Windows desktop app, a terminal UI, and the Node SDK @factory/droid-sdk. Works with any supported model, including your own API keys.
- Performance: Highest pass rate of every harness Factory tested, on the same model, at lower cost.
- Best: 65.2% on Terminal-Bench 4 with Claude Opus 5.5, at $4.73 per passed task (self-reported).
- Worst: With GPT-6.1 Sol, Droid takes 10% longer per passed task than Codex.
What is Droid 1.0?
Droid 1.0 is a model-independent coding agent harness from Factory. Factory defines a harness as everything around the model. That means the prompts, the tools, how tool results return, and the loop. Users pick a model or let Factory Router choose a cost-efficient mix.
How does programmatic tool calling work?
In a standard loop, every tool output lands in the model’s context. With programmatic tool calling (PTC), the model writes a program instead. Droid implements this as a Script tool. The model writes JavaScript that runs in a sandbox. The sandbox has no file, network, or system access of its own.
Raw files, search results, and logs stay inside the program. Only printed output returns to the model. Independent calls run concurrently.
The idea builds on CodeAct (Wang et al., 2024). Factory reports these results from its own sessions:
- Unit test fix: 15 tool calls took 5 model calls instead of 10. The task finished in 41.6 s instead of 56.8 s.
- Linear cleanup: 151 issues moved and verified in 312 tool calls. The Script used 2 requests and about 61,000 tokens. Factory models direct calls at 36 requests and about 3.1M tokens.
- CI sweep: 5,384 jobs across 547 runs, in 2 requests. Under 0.1% of tool results reached the model’s context.
On Claude Opus 5.5, Script mode cuts Droid’s cost by 15% versus direct tool calling. It is on by default for 10 models, including GPT-6.1 Sol and Kimi K3.
How does Droid 1.0 score on Terminal-Bench 4?
Factory ran each harness against Droid on the same model. Each harness ran 3 trials per task, from October 23 to 28, 2026. Only tasks both harnesses passed in all 3 trials count toward cost and time.
- Claude Opus 5.5: Droid scores 65.2%. Cursor and OpenCode score 62.1%, Devin 59.6%, Claude Code 57.6%. Droid costs up to 24% less.
- GPT-6.1 Sol: Droid scores 57.6% at $0.79 per passed task. Codex scores 54.0%, OpenCode 51.0%, Devin 45.0%.
- Speed: On Opus 5.5, Droid takes 16% to 26% less time per passed task. Against Claude Code, it also uses 17% fewer tokens.
What else changed in the harness?
Most changes came from an internal Agent Factory loop. Agents read failures and propose changes, tested on every affected model family. Engineers review and merge.
- Prompt cache: Newly loaded tools are appended to the request end. The typical production request reads 98% of input from cache.
- Leaner first request: Tool definitions fell 46%. Rarely used tools now load on demand.
- Bounded autonomy: 3 identical tool calls trigger a nudge, and 6 stop the loop. Compaction summaries now hold 16,000 tokens, up from 8,000.
- App latency: First paint fell from 1,839 ms to 488 ms. Each extra session now adds about 20 MB, not 350 MB.
Comparison: Droid 1.0 vs other coding agent harnesses
*Terminal-Bench 4 figures are Factory’s own runs, from its methodology section.
How can developers try it?
Droid 1.0 ships as a desktop app and terminal UI. The Droid SDK runs the same harness from Node, with sessions, streaming and MCP tools. Paid plans start at $20 per month.
Key Takeaways
- Droid 1.0 makes programmatic tool calling the default.
- 1 Script can run hundreds of tool calls per model request.
- 65.2% on Terminal-Bench 4 with Opus 5.5, self-reported.
- Base prompt shrank 37%, to 13,055 tokens.
- Codex still wins on speed with GPT-6.1 Sol.
Check out the full Factory research post, the Droid SDK on GitHub and the Droid docs. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.
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Asif Razzaq is the CEO of Marktechpost AI Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.
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