manus

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English
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Chinese

Manus AI Agent

Manus AI Agent

Manus is an autonomous AI agent for long-running, complex tasks. Excels at deep research with parallel processing, web browsing, and comprehensive report generation.
Manus是一款适用于长时间复杂任务的自主AI Agent。它擅长通过并行处理进行深度调研、网页浏览,以及生成全面的报告。

Quick Start

快速开始

bash
undefined
bash
undefined

Create a task

创建任务

curl -X POST "https://api.manus.ai/v1/tasks"
-H "API_KEY: $MANUS_API_KEY"
-H "Content-Type: application/json"
-d '{ "prompt": "Your task description", "agentProfile": "manus-1.6" }'
curl -X POST "https://api.manus.ai/v1/tasks"
-H "API_KEY: $MANUS_API_KEY"
-H "Content-Type: application/json"
-d '{ "prompt": "你的任务描述", "agentProfile": "manus-1.6" }'

Poll for results (repeat until status != "running")

轮询获取结果(重复执行直到状态不等于"running")

curl -s "https://api.manus.ai/v1/tasks/{task_id}"
-H "API_KEY: $MANUS_API_KEY"

---
curl -s "https://api.manus.ai/v1/tasks/{task_id}"
-H "API_KEY: $MANUS_API_KEY"

---

When to Use Manus

何时使用Manus

Best for (1-10+ minute autonomous work):
  • Research: Market analysis, competitive intelligence, fact-checking, stock analysis
  • Content: Reports, presentations, videos, websites, visualizations
  • Data: PDF translation, multi-source synthesis, analysis with charts
  • Development: Chrome extensions, POCs, prototypes, code review
  • Automation: Form filling, Web scraping (JS-rendered), task scheduling
Not for (use Claude Code instead):
  • Quick web searches or page fetches
  • Code generation/editing
  • Simple file I/O operations
  • Git operations

最适合(1-10+分钟的自主工作):
  • 调研:市场分析、竞争情报、事实核查、股票分析
  • 内容创作:报告、演示文稿、视频、网站、可视化内容
  • 数据处理:PDF翻译、多源数据合成、带图表的数据分析
  • 开发:Chrome扩展、POC、原型、代码评审
  • 自动化:表单填写、网页抓取(JS渲染页面)、任务调度
不适合(建议使用Claude Code):
  • 快速网页搜索或页面抓取
  • 代码生成/编辑
  • 简单文件I/O操作
  • Git操作

Core Workflow

核心工作流

Create Task → Get task_id → Poll Status → Extract Results → Done
  1. POST /v1/tasks - Create and get
    task_id
  2. GET /v1/tasks/{task_id} - Poll every 5-10 seconds until
    status
    "running"
  3. Extract - Read
    output[].content[].text
    from completed response

创建任务 → 获取task_id → 轮询状态 → 提取结果 → 完成
  1. POST /v1/tasks - 创建任务并获取
    task_id
  2. GET /v1/tasks/{task_id} - 每5-10秒轮询一次,直到
    status
    "running"
  3. 提取结果 - 从完成的响应中读取
    output[].content[].text

API Reference

API参考

Base URL

基础URL

https://api.manus.ai/v1
https://api.manus.ai/v1

Authentication

身份验证

bash
API_KEY: $MANUS_API_KEY (header)
bash
API_KEY: $MANUS_API_KEY (请求头)

Create Task

创建任务

bash
POST /v1/tasks
Content-Type: application/json
API_KEY: $MANUS_API_KEY

{
  "prompt": "Your task description",
  "agentProfile": "manus-1.6",       # manus-1.6-lite | manus-1.6 | manus-1.6-max
  "taskMode": "agent",               # agent | chat | adaptive (optional)
  "projectId": "proj_xxx",           # optional - use project context
  "connectors": ["uuid1"],           # optional - gmail, calendar, notion
  "attachments": [],                  # optional - files, URLs, file_ids
  "hideInTaskList": false,            # optional - hide from task list
  "createShareableLink": false,       # optional - public accessibility
  "taskId": "existing_task_id",       # optional - continue multi-turn conversation
  "locale": "en-US",                  # optional - user locale (e.g. "en-US", "zh-CN")
  "interactiveMode": false            # optional - enable follow-up questions
}
Response:
json
{
  "task_id": "TeBim6FDQf9peS52xHtAyh",
  "task_title": "Generated Title",
  "task_url": "https://manus.im/app/TeBim6FDQf9peS52xHtAyh",
  "share_url": "https://manus.im/share/xxx"
}
bash
POST /v1/tasks
Content-Type: application/json
API_KEY: $MANUS_API_KEY

{
  "prompt": "你的任务描述",
  "agentProfile": "manus-1.6",       # manus-1.6-lite | manus-1.6 | manus-1.6-max
  "taskMode": "agent",               # agent | chat | adaptive(可选)
  "projectId": "proj_xxx",           # 可选 - 使用项目上下文
  "connectors": ["uuid1"],           # 可选 - gmail, calendar, notion
  "attachments": [],                  # 可选 - 文件、URL、file_ids
  "hideInTaskList": false,            # 可选 - 在任务列表中隐藏
  "createShareableLink": false,       # 可选 - 设为公开可访问
  "taskId": "existing_task_id",       # 可选 - 继续多轮对话
  "locale": "en-US",                  # 可选 - 用户区域(例如"en-US", "zh-CN")
  "interactiveMode": false            # 可选 - 启用后续提问
}
响应:
json
{
  "task_id": "TeBim6FDQf9peS52xHtAyh",
  "task_title": "生成的标题",
  "task_url": "https://manus.im/app/TeBim6FDQf9peS52xHtAyh",
  "share_url": "https://manus.im/share/xxx"
}

Get Task (Poll for Results)

获取任务(轮询结果)

bash
GET /v1/tasks/{task_id}
API_KEY: $MANUS_API_KEY
Response:
json
{
  "id": "task_id",
  "status": "running",          # running | completed | failed | stopped
  "model": "manus-1.6-adaptive",
  "metadata": {
    "task_title": "Task Title",
    "task_url": "https://manus.im/app/xxx"
  },
  "output": [
    {
      "role": "assistant",
      "status": "completed",
      "content": [
        {"type": "output_text", "text": "The result text..."}
      ]
    }
  ],
  "credit_usage": 42
}
bash
GET /v1/tasks/{task_id}
API_KEY: $MANUS_API_KEY
响应:
json
{
  "id": "task_id",
  "status": "running",          # running | completed | failed | stopped
  "model": "manus-1.6-adaptive",
  "metadata": {
    "task_title": "任务标题",
    "task_url": "https://manus.im/app/xxx"
  },
  "output": [
    {
      "role": "assistant",
      "status": "completed",
      "content": [
        {"type": "output_text", "text": "结果文本..."}
      ]
    }
  ],
  "credit_usage": 42
}

List All Tasks

列出所有任务

bash
GET /v1/tasks
API_KEY: $MANUS_API_KEY
Returns array of all tasks with status, metadata, and credit usage.
bash
GET /v1/tasks
API_KEY: $MANUS_API_KEY
返回包含所有任务的状态、元数据和积分使用情况的数组。

Delete Task

删除任务

bash
DELETE /v1/tasks/{task_id}
API_KEY: $MANUS_API_KEY
bash
DELETE /v1/tasks/{task_id}
API_KEY: $MANUS_API_KEY

Create Project

创建项目

bash
POST /v1/projects
API_KEY: $MANUS_API_KEY

{
  "name": "Project Name",
  "instruction": "Default instruction for all tasks in this project"
}
bash
POST /v1/projects
API_KEY: $MANUS_API_KEY

{
  "name": "项目名称",
  "instruction": "此项目中所有任务的默认指令"
}

List Projects

列出项目

bash
GET /v1/projects
API_KEY: $MANUS_API_KEY
bash
GET /v1/projects
API_KEY: $MANUS_API_KEY

Upload File (for attachment)

上传文件(用于附件)

bash
POST /v1/files/upload
API_KEY: $MANUS_API_KEY
Content-Type: multipart/form-data

file: <binary file data>
Returns
file_id
for use in task attachments. Upload window: 3 minutes.
bash
POST /v1/files/upload
API_KEY: $MANUS_API_KEY
Content-Type: multipart/form-data

file: <二进制文件数据>
返回可用于任务附件的
file_id
。上传窗口为3分钟。

Create Webhook

创建Webhook

bash
POST /v1/webhooks
API_KEY: $MANUS_API_KEY

{
  "url": "https://your-server.com/webhook"
}
Webhook Events:
  • task_created
    - Task started
  • task_progress
    - Task making progress (plan updates)
  • task_stopped
    - Task completed or needs input (
    stop_reason
    : "finish" or "ask")

bash
POST /v1/webhooks
API_KEY: $MANUS_API_KEY

{
  "url": "https://your-server.com/webhook"
}
Webhook事件:
  • task_created
    - 任务已启动
  • task_progress
    - 任务正在进行(计划更新)
  • task_stopped
    - 任务完成或需要输入(
    stop_reason
    : "finish"或"ask")

Agent Profiles

Agent配置文件

ProfileBest ForSpeed
manus-1.6-lite
Quick lookups, fact checksFast
manus-1.6
Most research tasks (balanced)Medium
manus-1.6-max
Complex analysis, multi-source deep divesSlow (~complex)

配置文件最适合场景速度
manus-1.6-lite
快速查询、事实核查
manus-1.6
大多数调研任务(平衡型)中等
manus-1.6-max
复杂分析、多源深度调研慢(~复杂任务)

Integration Patterns

集成模式

Simple Task (Standard)

简单任务(标准)

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Analyze Bitcoin price trends this week",
    "agentProfile": "manus-1.6"
  }'
bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "分析本周比特币价格走势",
    "agentProfile": "manus-1.6"
  }'

Complex Research (Max Profile)

复杂调研(Max配置)

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Deep analysis of AI market 2024-2026: market size, top 10 players, M&A trends, funding landscape",
    "agentProfile": "manus-1.6-max",
    "locale": "en-US"
  }'
bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "深度分析2024-2026年AI市场:市场规模、Top10玩家、并购趋势、融资格局",
    "agentProfile": "manus-1.6-max",
    "locale": "en-US"
  }'

With Attachments (URL + Base64 + File ID)

带附件(URL + Base64 + 文件ID)

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Analyze this financial report and create a summary",
    "attachments": [
      {"type": "url", "url": "https://example.com/report.pdf"},
      {"type": "file_id", "file_id": "file_xxx"},
      {"type": "base64", "data": "base64....", "mimeType": "text/csv", "fileName": "data.csv"}
    ],
    "agentProfile": "manus-1.6"
  }'
bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "分析这份财务报告并生成摘要",
    "attachments": [
      {"type": "url", "url": "https://example.com/report.pdf"},
      {"type": "file_id", "file_id": "file_xxx"},
      {"type": "base64", "data": "base64....", "mimeType": "text/csv", "fileName": "data.csv"}
    ],
    "agentProfile": "manus-1.6"
  }'

Multi-turn Conversation

多轮对话

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Based on your previous analysis, what are the investment implications?",
    "taskId": "abc123",
    "interactiveMode": true
  }'
bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "基于你之前的分析,有哪些投资启示?",
    "taskId": "abc123",
    "interactiveMode": true
  }'

With Project Context

带项目上下文

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Analyze our Q1 competitor landscape",
    "projectId": "proj_xxx",
    "agentProfile": "manus-1.6"
  }'
bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "分析我们Q1的竞品格局",
    "projectId": "proj_xxx",
    "agentProfile": "manus-1.6"
  }'

With Connectors (Gmail, Calendar, Notion)

带连接器(Gmail、日历、Notion)

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Check my calendar for the next 3 months and suggest the best time for a team offsite",
    "connectors": ["google-calendar-uuid"],
    "agentProfile": "manus-1.6"
  }'

bash
curl -X POST "https://api.manus.ai/v1/tasks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "查看我未来3个月的日历,建议团队外出团建的最佳时间",
    "connectors": ["google-calendar-uuid"],
    "agentProfile": "manus-1.6"
  }'

Playbook Templates

工作流模板

Pre-optimized prompts for common workflows:
TemplateDescription
market-research
Competitive analysis, market sizing
slide-generator
Professional presentations (PPT/PDF)
video-generator
AI-generated videos
website-builder
Full website generation
resume-builder
Professional resumes
swot-analysis
Business SWOT analysis
chrome-extension
Browser extension development
trip-planner
Travel itineraries
influencer-finder
YouTube creator discovery
fact-checker
Claim verification
pdf-translator
Document translation
interior-design
Room/space design
fitness-coach
Custom workout plans
startup-poc
Proof of concept prototypes
profile-builder
Research profiles on people/companies
sentiment-analyzer
Reddit sentiment analysis
viral-content
YouTube viral content analysis
business-canvas
Business model canvas

针对常见工作流预优化的提示词:
模板描述
market-research
竞品分析、市场规模测算
slide-generator
专业演示文稿(PPT/PDF)
video-generator
AI生成视频
website-builder
完整网站生成
resume-builder
专业简历制作
swot-analysis
企业SWOT分析
chrome-extension
浏览器扩展开发
trip-planner
旅行行程规划
influencer-finder
YouTube创作者挖掘
fact-checker
主张验证
pdf-translator
文档翻译
interior-design
空间/室内设计
fitness-coach
定制健身计划
startup-poc
原型概念验证
profile-builder
人物/企业调研档案
sentiment-analyzer
Reddit情感分析
viral-content
YouTube爆款内容分析
business-canvas
商业模式画布

Prompt Tips for Better Results

优化提示词以获得更好结果

Good prompt structure:
Task: [Clear objective]
Scope: [Research scope/timeframe]
Sources: [Prefer specific sources if known]
Output Format: [Structured report, bullet points, CSV, etc.]
Example:
json
{
  "prompt": "Analyze competitors to ChatGPT in the enterprise AI space (2024-2026).
Scope: Market share, pricing, key features, customer segments.
Sources: G2, Gartner, official docs, recent news.
Output: Structured comparison table + strategic positioning analysis.",
  "agentProfile": "manus-1.6-max",
  "locale": "en-US"
}

优质提示词结构:
任务:[清晰的目标]
范围:[调研范围/时间框架]
来源:[如果有指定偏好的来源]
输出格式:[结构化报告、项目符号、CSV等]
示例:
json
{
  "prompt": "分析2024-2026年企业AI领域中ChatGPT的竞品。
范围:市场份额、定价、核心功能、客户群体。
来源:G2、Gartner、官方文档、近期新闻。
输出:结构化对比表格 + 战略定位分析。",
  "agentProfile": "manus-1.6-max",
  "locale": "en-US"
}

Best Practices

最佳实践

  1. Agent Profiles
    • lite (fast, simple) → Quick lookups, fact checks
    • 1.6 (default) → Most research tasks, balanced
    • 1.6-max → Complex analysis, multi-source deep dives
  2. Prompts
    • Be specific: scope, sources, output format
    • Define timeframe if researching recent events
    • Request structured output (tables, bullet points, etc.)
  3. Polling
    • Poll every 5-10 seconds for results
    • Most tasks complete in 1-5 minutes
    • Complex research may take 10+ minutes
  4. Projects - Organize related tasks with shared instructions (e.g., "Always cite sources")
  5. Webhooks - Monitor task events asynchronously instead of polling (production recommended)
  6. Attachments - Include PDFs, images, URLs as research context. File uploads have 3-minute window.
  7. Locale - Set
    locale: "zh-CN"
    for Chinese output,
    "en-US"
    for English, etc.
  8. Cost - Monitor
    credit_usage
    per task. Budget accordingly.

  1. Agent配置文件
    • lite(快速、简单)→ 快速查询、事实核查
    • 1.6(默认)→ 大多数调研任务,平衡型
    • 1.6-max→ 复杂分析、多源深度调研
  2. 提示词
    • 要具体:明确范围、来源、输出格式
    • 如果调研近期事件,定义时间框架
    • 要求结构化输出(表格、项目符号等)
  3. 轮询
    • 每5-10秒轮询一次结果
    • 大多数任务在1-5分钟内完成
    • 复杂调研可能需要10+分钟
  4. 项目 - 用共享指令组织相关任务(例如“始终注明来源”)
  5. Webhook - 异步监控任务事件,替代轮询(生产环境推荐)
  6. 附件 - 包含PDF、图片、URL作为调研上下文。文件上传窗口为3分钟。
  7. 区域设置 - 设置
    locale: "zh-CN"
    以获取中文输出,
    "en-US"
    获取英文输出,依此类推。
  8. 成本 - 监控每个任务的
    credit_usage
    ,合理规划预算。

Polling Loop (Python Example)

轮询循环(Python示例)

python
import requests
import time
import json

API_KEY = "your-manus-api-key"
BASE_URL = "https://api.manus.ai/v1"
python
import requests
import time
import json

API_KEY = "your-manus-api-key"
BASE_URL = "https://api.manus.ai/v1"

1. Create task

1. 创建任务

response = requests.post( f"{BASE_URL}/tasks", headers={"API_KEY": API_KEY, "Content-Type": "application/json"}, json={ "prompt": "Your task description", "agentProfile": "manus-1.6" } ) task_id = response.json()["task_id"] print(f"Task created: {task_id}")
response = requests.post( f"{BASE_URL}/tasks", headers={"API_KEY": API_KEY, "Content-Type": "application/json"}, json={ "prompt": "你的任务描述", "agentProfile": "manus-1.6" } ) task_id = response.json()["task_id"] print(f"Task created: {task_id}")

2. Poll for completion

2. 轮询直到完成

max_retries = 120 # 10 minutes with 5s interval retry = 0
while retry < max_retries: result = requests.get( f"{BASE_URL}/tasks/{task_id}", headers={"API_KEY": API_KEY} ).json()
status = result.get("status")
print(f"Status: {status}")

if status == "completed":
    # 3. Extract results
    outputs = result.get("output", [])
    for output in outputs:
        if output.get("role") == "assistant":
            for content in output.get("content", []):
                if content.get("type") == "output_text":
                    print("\n=== RESULT ===")
                    print(content["text"])
    break
elif status in ["failed", "stopped"]:
    print(f"Task {status}")
    break

time.sleep(5)
retry += 1
if retry == max_retries: print("Timeout: Task took too long")

---
max_retries = 120 # 5秒间隔,共10分钟 retry = 0
while retry < max_retries: result = requests.get( f"{BASE_URL}/tasks/{task_id}", headers={"API_KEY": API_KEY} ).json()
status = result.get("status")
print(f"Status: {status}")

if status == "completed":
    # 3. 提取结果
    outputs = result.get("output", [])
    for output in outputs:
        if output.get("role") == "assistant":
            for content in output.get("content", []):
                if content.get("type") == "output_text":
                    print("\n=== 结果 ===")
                    print(content["text"])
    break
elif status in ["failed", "stopped"]:
    print(f"任务{status}")
    break

time.sleep(5)
retry += 1
if retry == max_retries: print("超时:任务耗时过长")

---

Routing Logic

路由逻辑

Use Claude Code (free, instant) for:
  • Code generation, editing, refactoring
  • File operations (read/write/search)
  • Git operations, GitHub PRs
  • Web search, simple page fetching
  • Memory persistence
Use Manus (costs credits) for:
  • Browser automation (JS-rendered sites)
  • Form filling, login-required scraping
  • PDF/slide/video generation
  • OAuth integrations (Gmail, Calendar)
  • Multi-hour autonomous research
  • Real purchases/bookings

使用Claude Code(免费、即时)处理:
  • 代码生成、编辑、重构
  • 文件操作(读/写/搜索)
  • Git操作、GitHub PR
  • 网页搜索、简单页面抓取
  • 记忆持久化
使用Manus(消耗积分)处理:
  • 浏览器自动化(JS渲染网站)
  • 表单填写、需要登录的抓取
  • PDF/幻灯片/视频生成
  • OAuth集成(Gmail、日历)
  • 数小时的自主调研
  • 实际购买/预订

Webhook Server Example

Webhook服务器示例

Simple Python webhook receiver:
python
from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def handle_webhook():
    event = request.json
    event_type = event.get('event_type')

    if event_type == 'task_created':
        print(f"✅ Task started: {event['task_detail']['task_id']}")

    elif event_type == 'task_progress':
        print(f"⏳ Progress: {event['progress_detail']['message']}")

    elif event_type == 'task_stopped':
        detail = event['task_detail']
        if detail['stop_reason'] == 'finish':
            print(f"✓ Completed: {detail['message']}")
            for att in detail.get('attachments', []):
                print(f"  📎 {att['file_name']} ({att['size_bytes']} bytes)")
                print(f"     URL: {att['url']}")
        else:
            print(f"❓ Needs input: {detail['message']}")

    return jsonify({"status": "ok"})

if __name__ == '__main__':
    app.run(port=8080)
Register webhook:
bash
curl -X POST "https://api.manus.ai/v1/webhooks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://your-server.com/webhook"
  }'

简单的Python Webhook接收器:
python
from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def handle_webhook():
    event = request.json
    event_type = event.get('event_type')

    if event_type == 'task_created':
        print(f"✅ 任务已启动:{event['task_detail']['task_id']}")

    elif event_type == 'task_progress':
        print(f"⏳ 进度:{event['progress_detail']['message']}")

    elif event_type == 'task_stopped':
        detail = event['task_detail']
        if detail['stop_reason'] == 'finish':
            print(f"✓ 任务完成:{detail['message']}")
            for att in detail.get('attachments', []):
                print(f"  📎 {att['file_name']} ({att['size_bytes']} 字节)")
                print(f"     URL: {att['url']}")
        else:
            print(f"❓ 需要输入:{detail['message']}")

    return jsonify({"status": "ok"})

if __name__ == '__main__':
    app.run(port=8080)
注册Webhook:
bash
curl -X POST "https://api.manus.ai/v1/webhooks" \
  -H "API_KEY: $MANUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://your-server.com/webhook"
  }'

Error Codes & Solutions

错误码与解决方案

CodeMessageFix
8Credit limit exceededAdd credits at manus.im
401UnauthorizedCheck API_KEY in header
400Bad requestValidate JSON payload, check agentProfile
404Task not foundVerify task_id is correct
429Rate limitedWait before retrying
500Server errorRetry after a few seconds

错误码提示信息解决方法
8积分额度已用完manus.im充值积分
401未授权检查请求头中的API_KEY
400请求无效验证JSON payload,检查agentProfile是否正确
404任务未找到确认task_id正确
429请求频率受限等待后重试
500服务器错误几秒后重试

Resources

相关资源