Files
FastGPT/packages/global/core/ai/prompt/agent.ts
Archer 9d27de154b 4.7-alpha2 (#1027)
* feat: stop toolCall and rename some field. (#46)

* perf: node delete tip;pay tip

* fix: toolCall cannot save child answer

* feat: stop tool

* fix: team modal

* fix feckbackMoal  auth bug (#47)

* 简单的支持提示词运行tool。优化workflow模板 (#49)

* remove templates

* fix: request body undefined

* feat: prompt tool run

* feat: workflow tamplates modal

* perf: plugin start

* 4.7 (#50)

* fix docker-compose download url (#994)

original code is a bad url with '404 NOT FOUND' return.
fix docker-compose download url, add 'v' before docker-compose version

* Update ai_settings.md (#1000)

* Update configuration.md

* Update configuration.md

* Fix history in classifyQuestion and extract modules (#1012)

* Fix history in classifyQuestion and extract modules

* Add chatValue2RuntimePrompt import and update text formatting

* flow controller to packages

* fix: rerank select

* modal ui

* perf: modal code path

* point not sufficient

* feat: http url support variable

* fix http key

* perf: prompt

* perf: ai setting modal

* simple edit ui

---------

Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>

* fix team share redirect to login (#51)

* feat: support openapi import plugins (#48)

* feat: support openapi import plugins

* feat: import from url

* fix: add body params parse

* fix build

* fix

* fix

* fix

* tool box ui (#52)

* fix: training queue

* feat: simple edit tool select

* perf: simple edit dataset prompt

* fix: chatbox tool ux

* feat: quote prompt module

* perf: plugin tools sign

* perf: model avatar

* tool selector ui

* feat: max histories

* perf: http plugin import (#53)

* perf: plugin http import

* chatBox ui

* perf: name

* fix: Node template card (#54)

* fix: ts

* setting modal

* package

* package

* feat: add plugins search (#57)

* feat: add plugins search

* perf: change http plugin header input

* Yjl (#56)

* perf: prompt tool call

* perf: chat box ux

* doc

* doc

* price tip

* perf: tool selector

* ui'

* fix: vector queue

* fix: empty tool and empty response

* fix: empty msg

* perf: pg index

* perf: ui tip

* doc

* tool tip

---------

Co-authored-by: yst <77910600+yu-and-liu@users.noreply.github.com>
Co-authored-by: entorick <entorick11@qq.com>
Co-authored-by: liujianglc <liujianglc@163.com>
Co-authored-by: Fengrui Liu <liufengrui.work@bytedance.com>
Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>
2024-03-21 13:32:31 +08:00

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TypeScript
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export const Prompt_AgentQA = {
description: `<Context></Context> 标记中是一段文本,学习和分析它,并整理学习成果:
- 提出问题并给出每个问题的答案。
- 答案需详细完整,尽可能保留原文描述。
- 答案可以包含普通文字、链接、代码、表格、公示、媒体链接等 Markdown 元素。
- 最多提出 30 个问题。
`,
fixedText: `请按以下格式整理学习成果:
<Context>
文本
</Context>
Q1: 问题。
A1: 答案。
Q2:
A2:
------
我们开始吧!
<Context>
{{text}}
<Context/>
`
};
export const Prompt_ExtractJson = `你可以从 <对话记录></对话记录> 中提取指定 JSON 信息,你仅需返回 JSON 字符串,无需回答问题。
<提取要求>
{{description}}
</提取要求>
<字段说明>
1. 下面的 JSON 字符串均按照 JSON Schema 的规则描述。
2. key 代表字段名description 代表字段的描述enum 是可选值,代表可选的 value。
3. 如果没有可提取的内容,忽略该字段。
4. 本次需提取的JSON Schema{{json}}
</字段说明>
<对话记录>
{{text}}
</对话记录>
`;
export const Prompt_CQJson = `我会给你几个问题类型请参考背景知识可能为空和对话记录判断我“本次问题”的类型并返回一个问题“类型ID”:
<问题类型>
{{typeList}}
</问题类型>
<背景知识>
{{systemPrompt}}
</背景知识>
<对话记录>
{{history}}
</对话记录>
Human"{{question}}"
类型ID=
`;