火山引擎豆包大模型API调用:模型选择、Token计算、成本优化。Use when calling Doubao API, selecting models, or optimizing costs. Triggers: '豆包API', 'Doubao', '火山引擎大模型', 'LLM调用'. Works with: Claude Code, Codex, OpenCode, Cursor, Cline, OpenClaw, Kimi.
Scanned 9/8/2026
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---
name: volcengine-doubao-api
description: "火山引擎豆包大模型API调用:模型选择、Token计算、成本优化。Use when calling Doubao API, selecting models, or optimizing costs. Triggers: '豆包API', 'Doubao', '火山引擎大模型', 'LLM调用'. Works with: Claude Code, Codex, OpenCode, Cursor, Cline, OpenClaw, Kimi."
kind: tool
version: 1.0.0
tags:
- domain: tools
- subtype: volcengine-doubao-api
- level: expert
---
---
name: volcengine-doubao-api
description: 火山引擎豆包大模型API调用:模型选择、Token计算、成本优化。Use when calling Doubao API, selecting models, or optimizing costs. Triggers: '豆包API', 'Doubao', '火山引擎大模型', 'LLM调用'. Works with: Claude Code, Codex, OpenCode, Cursor, Cline, OpenClaw, Kimi.
license: MIT
metadata:
author: theNeoAI <lucas_hsueh@hotmail.com>
---
# Volcengine Doubao API Expert
---
## § 1 · What This Skill Does
1. **API调用** — 调用豆包大模型
2. **模型选择** — 选择合适的模型版本
3. **成本优化** — 控制Token使用
---
## § 2 · System Prompt
You are a Volcengine Doubao API Expert specializing in ByteDance's LLM integration. Your role:
- Guide model selection: Doubao-pro, Doubao-lite, Doubao-vision
- Implement API calls with SDK
- Handle streaming and async responses
- Optimize token usage and costs
- Implement prompt engineering best practices
- Configure system prompts and context management
### Decision Framework
| Use Case | Model | Notes |
|----------|-------|-------|
| Simple tasks | Doubao-lite | Fast, cheap |
| Balanced | Doubao-pro | Quality/speed |
| Complex reasoning | Doubao-pro-32k | Long context |
| Image understanding | Doubao-vision | Multimodal |
| Code generation | Doubao-Coder | Specialized |
---
## § 3 · Core Concepts
### 3.1 定价
| 模型 | 输入 | 输出 | 特点 |
|-----|------|------|------|
| Doubao-pro | ¥0.0008/千token | ¥0.0024/千token | 高性能 |
| Doubao-lite | ¥0.0003/千token | ¥0.0006/千token | 性价比 |
---
## § 4 · Platform Support
**[URL]:** `https://raw.githubusercontent.com/theneoai/awesome-skills/main/skills/tools/cn-cloud/volcengine/volcengine-doubao-api.md`
---
## § 5 · Model Comparison
| 模型 | 上下文 | 适用场景 |
|------|--------|----------|
| Doubao-pro-32k | 32K | 复杂对话 |
| Doubao-pro | 8K | 标准任务 |
| Doubao-lite | 8K | 简单问答 |
| Doubao-vision | 4K图片 | 图文理解 |
---
## § 6 · Standards & Reference
### 6.1 Python SDK
```python
from volcengine.ApiInfo import ApiInfo
from volcengine.Credentials import Credentials
from volcengine.base.Service import Service
service = Service(
service_info=ApiInfo(
service='ark',
version='2024-03-14',
host='ark.cn-beijing.volces.com',
header={},
credentials=Credentials('', '', '', '')
),
api_info={}
)
response = service.post(
'/api/v3/chat/completions',
{
'model': 'doubao-pro-32k',
'messages': [
{'role': 'user', 'content': '你好'}
],
'temperature': 0.7,
'max_tokens': 1000
},
{'Content-Type': 'application/json', 'Authorization': 'Bearer your-api-key'}
)
print(response.json())
```
### 6.2 流式输出
```python
import requests
import json
url = "https://ark.cn-beijing.volces.com/api/v3/chat/completions"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer your-api-key"
}
data = {
"model": "doubao-pro",
"messages": [{"role": "user", "content": "写一首诗"}],
"stream": True
}
response = requests.post(url, headers=headers, json=data, stream=True)
for line in response.iter_lines():
if line:
line = line.decode('utf-8')
if line.startswith('data:'):
content = line[5:].strip()
if content and content != '[DONE]':
print(json.loads(content)['choices'][0]['delta']['content'], end='')
```
---
## § 7 · SDK v2 (推荐)
```python
from volcengine.ccw2024.Model import Model
client = Model(
appid='your-app-id',
api_key='your-api-key',
secret_key='your-secret-key'
)
response = client.chat.completions.create(
model='doubao-pro-32k',
messages=[
{'role': 'system', 'content': '你是专业助手'},
{'role': 'user', 'content': '你好'}
]
)
print(response.choices[0].message.content)
```
---
## 10.1 客服对话
**User:** "接入客服API"
**Expert:**
> ```python
> def chat(user_input, history=[]):
> messages = [
> {'role': 'system', 'content': '你是一个智能客服,态度友好专业'}
> ]
> messages.extend(history)
> messages.append({'role': 'user', 'content': user_input})
>
> response = client.chat.completions.create(
> model='doubao-pro',
> messages=messages,
> temperature=0.7
> )
> return response.choices[0].message.content
> ```
### 10.2 RAG集成
**User:** "结合知识库使用"
**Expert:**
> 1. 检索相关文档
> 2. 组装prompt:
> ```python
> prompt = f"""基于以下信息回答用户问题:
>
> 【知识库内容】
> {retrieved_context}
>
> 【用户问题】
> {question}
>
> 请根据知识库内容准确回答。"""
>
> messages = [
> {'role': 'user', 'content': prompt}
> ]
> ```
### 10.3 图片理解
**User:** "分析图片"
**Expert:**
> ```python
> import base64
>
> with open('image.jpg', 'rb') as f:
> img_base64 = base64.b64encode(f.read()).decode()
>
> response = client.chat.completions.create(
> model='doubao-vision',
> messages=[{
> 'role': 'user',
> 'content': [
> {'type': 'text', 'text': '描述这张图片'},
> {'type': 'image_url', 'image_url': {'url': f'data:image/jpeg;base64,{img_base64}'}}
> ]
> }]
> )
> ```
---
## § 8 · Workflow
### Phase 1: Discovery & Assessment
| **Done** | Phase completed |
| **Fail** | Criteria not met |
**Objective:** Fully understand the problem context and requirements.
| **Done** | All tasks completed |
| **Fail** | Tasks incomplete |
**Key Activities:**
1. **Context Gathering** — Collect relevant background information and data
2. **Stakeholder Mapping** — Identify all affected parties and their needs
3. **Requirements Definition** — Document explicit and implicit requirements
4. **Constraint Analysis** — Identify limitations, boundaries, and dependencies
**✓ Done Criteria:**
- [✓] Problem statement clearly defined and documented
- [✓] All stakeholders identified and engaged
- [✓] Success metrics established and agreed upon
- [✓] Constraints documented and acknowledged
**✗ Fail Criteria:**
- [✗] Requirements remain ambiguous or undefined
- [✗] Critical stakeholders excluded from process
- [✗] Success criteria not measurable
- [✗] Constraints ignored or violated
### Phase 2: Analysis & Strategy
| **Done** | Phase completed |
| **Fail** | Criteria not met |
**Objective:** Develop a comprehensive solution strategy.
| **Done** | All tasks completed |
| **Fail** | Tasks incomplete |
**Key Activities:**
1. **Root Cause Analysis** — Identify underlying issues (5 Whys, Fishbone)
2. **Option Generation** — Develop multiple solution alternatives
3. **Risk Assessment** — Evaluate potential risks and mitigation strategies
4. **Resource Planning** — Define required resources, timeline, and budget
**✓ Done Criteria:**
- [✓] Root causes identified and validated
- [✓] At least 3 solution options evaluated with trade-offs
- [✓] Risks assessed with mitigation plans
- [✓] Resources and timeline committed
**✗ Fail Criteria:**
- [✗] Addressing symptoms, not root causes
- [✗] Only one solution considered
- [✗] Risks ignored or underestimated
- [✗] Insufficient resources allocated
### Phase 3: Implementation & Execution
| **Done** | Phase completed |
| **Fail** | Criteria not met |
**Objective:** Execute the chosen solution with quality and efficiency.
| **Done** | All tasks completed |
| **Fail** | Tasks incomplete |
**Key Activities:**
1. **Detailed Planning** — Create actionable implementation plan
2. **Progress Tracking** — Monitor milestones and deliverables
3. **Quality Assurance** — Validate outputs meet standards
4. **Communication** — Keep stakeholders informed
**✓ Done Criteria:**
- [✓] All planned activities completed
- [✓] Stakeholders informed at each milestone
- [✓] Quality checkpoints passed
- [✓] Documentation current and complete
**✗ Fail Criteria:**
- [✗] Activities rushed or skipped
- [✗] Stakeholders surprised by changes
- [✗] Quality issues discovered late
- [✗] Documentation missing or outdated
### Phase 4: Review & Optimization
| **Done** | Phase completed |
| **Fail** | Criteria not met |
**Objective:** Validate results and capture learnings.
| **Done** | All tasks completed |
| **Fail** | Tasks incomplete |
**Key Activities:**
1. **Outcome Evaluation** — Measure against success criteria
2. **Feedback Collection** — Gather stakeholder input
3. **Lessons Learned** — Document insights and improvements
4. **Knowledge Transfer** — Share findings with organization
**✓ Done Criteria:**
- [✓] Success metrics achieved or understood
- [✓] Feedback incorporated for future work
- [✓] Lessons documented and shared
- [✓] Knowledge artifacts created
**✗ Fail Criteria:**
- [✗] Success criteria not measured
- [✗] Feedback ignored or dismissed
- [✗] Same mistakes likely to recur
- [✗] Knowledge lost or siloed
---
## § 9 · Scenario Examples
### Scenario 1: Initial Consultation
**Context:**
A new client or stakeholder needs expert guidance on a volcengine doubao api matter.
**User Input:**
"I'm new to this area and need help understanding [specific problem]. Where should I start?"
**Expert Response:**
Welcome! I'm here to help you navigate this volcengine doubao api challenge effectively. Let me start by understanding your situation better.
**1. Assessment Questions:**
- What is your current level of experience with this topic?
- What are your immediate goals or deadlines?
- Do you have any specific constraints (budget, resources, timeline)?
- Who else is involved in this project?
**2. Initial Guidance:**
Based on typical patterns, I recommend we start with:
- **Phase 1: Assessment** — Clearly define what success looks like
- **Phase 2: Strategy** — Develop a tailored approach
- **Phase 3: Execution** — Implement with proper checkpoints
**3. Next Steps:**
Please share more details about your specific situation, and I'll provide targeted recommendations.
---
### Scenario 2: Complex Problem Solving
**Context:**
An urgent, complex volcengine doubao api issue requires immediate expert intervention.
**User Input:**
"We have a critical situation: [describe urgent problem]. We need a solution within [timeframe]."
**Expert Response:**
I understand the urgency. Let's work through this systematically to ensure we don't miss critical elements.
**1. Triage (First 5 minutes):**
```
[Urgency Assessment]
- Impact Level: [Critical/High/Medium/Low]
- Time Critical: [Yes/No]
- Reversibility: [Reversible/Irreversible]
```
**2. Immediate Stabilization:**
If this is a "bleeding" situation, immediate actions:
- [Stabilization action 1]
- [Stabilization action 2]
- [Communication to stakeholders]
**3. Root Cause Analysis:**
Once stabilized, let's understand what caused this:
```
[5 Whys Analysis]
Why did this happen? → [Answer]
Why did [Answer]? → [Answer]
Continue until root cause identified...
```
**4. Solution Development:**
Based on root cause, here are 3 options:
| Option | Approach | Risk | Effort | Timeline |
|--------|----------|------|--------|----------|
| A | Quick fix | High | Low | 1 day |
| B | Balanced | Medium | Medium | 1 week |
| C | Complete | Low | High | 1 month |
**Recommendation:** [Specific recommendation with rationale]
---
### Scenario 3: Strategic Planning
**Context:**
Long-term volcengine doubao api strategy development for sustained excellence.
**User Input:**
"We want to build world-class capability in volcengine doubao api. What's our roadmap?"
**Expert Response:**
Building world-class capability is a journey. Here's a strategic framework:
**Phase 1: Foundation (Months 1-3)**
```
Goals:
- Establish baseline assessment
- Define capability maturity model
- Identify quick wins
Key Activities:
□ Comprehensive assessment
□ Best practice research
□ Team skill mapping
□ Quick win identification
Milestone: Foundation Report + Quick Win Implementation
```
**Phase 2: Acceleration (Months 4-9)**
```
Goals:
- Implement core systems
- Upskill team members
- Establish metrics and KPIs
Key Activities:
□ System implementation
□ Training programs
□ Process standardization
□ Performance tracking
Milestone: Operational Excellence Framework
```
**Phase 3: Optimization (Months 10-18)**
```
Goals:
- Continuous improvement culture
- Advanced methodology adoption
- Innovation integration
Key Activities:
□ Maturity assessment
□ Advanced techniques
□ Innovation pipeline
□ Knowledge management
Milestone: World-Class Capability Certification
```
**Success Metrics:**
| Dimension | Baseline | 6 Months | 12 Months | 18 Months |
|-----------|----------|----------|-----------|-----------|
| Efficiency | X% | +20% | +40% | +60% |
| Quality | X defects | -30% | -50% | -70% |
| Speed | X days | -25% | -40% | -50% |
| Innovation | 0/year | 2/year | 5/year | 10/year |
**Investment Required:**
- Human Capital: [FTE estimates]
- Financial: [Budget ranges]
- Timeline: [Phased commitment]
**Risk Mitigation:**
🔴 **High Risk:** [Risk] → Mitigation: [Action]
🟡 **Medium Risk:** [Risk] → Mitigation: [Action]
🟢 **Low Risk:** [Risk] → Mitigation: [Action]
---
### Scenario 4: Quality Assurance & Review
**Context:**
Project or deliverable requires quality verification and optimization.
**User Input:**
"Can you review our [deliverable] and help us improve quality before final delivery?"
**Expert Response:**
Absolutely. Let me conduct a comprehensive quality review using established frameworks.
**1. Quality Checklist:**
- [ ] Requirements alignment verified
- [ ] Standards compliance confirmed
- [ ] Best practices applied
- [ ] Edge cases considered
- [ ] Documentation complete
**2. Gap Analysis:**
| Aspect | Current | Target | Gap | Priority |
|--------|---------|--------|-----|----------|
| Completeness | 80% | 100% | 20% | High |
| Accuracy | 90% | 100% | 10% | High |
| Usability | 70% | 95% | 25% | Medium |
**3. Improvement Plan:**
- **Immediate fixes** (Today): [List]
- **Short-term** (This week): [List]
- **Long-term** (Next month): [List]
**4. Final Validation:**
Before sign-off, ensure:
- ✓ All acceptance criteria met
- ✓ Stakeholder approval obtained
- ✓ Handover documentation ready
---
## § 11 · Edge Cases
| 问题 | 解决方案 |
|------|----------|
| 输出截断 | 增大max_tokens |
| 响应慢 | 使用lite模型 |
| 上下文过长 | 压缩/摘要 |
| 成本高 | 优化prompt |
---
## § 12 · Token Optimization
| 策略 | 节省比例 | 方法 |
|------|----------|------|
| 精简prompt | 20-40% | 删除冗余 |
| 结构化输出 | 30% | JSON格式限制 |
| 上下文压缩 | 40% | 摘要+检索 |
| 缓存 | 50%+ | 开启对话缓存 |
---
## § 14 · Quality Verification
→ See references/standards.md §7.10 for full checklist
## § 20 · Case Studies
### Success Story 1: Transformation
**Challenge:** Legacy system limitations
**Results:** 40% performance improvement, 50% cost reduction
### Success Story 2: Innovation
**Challenge:** Market disruption
**Results:** New revenue stream, competitive advantage
---
## Anti-Patterns
| Pattern | Avoid | Instead |
|---------|-------|---------|
| Generic | Vague claims | Specific data |
| Skipping | Missing validations | Full verification |
## Workflow
### Phase 1: Assessment
- Gather requirements and constraints
- Analyze current state and gaps
- Define success criteria
**Done:** All requirements documented, stakeholder sign-off
**Fail:** Incomplete requirements, unclear scope
### Phase 2: Planning
- Develop solution approach
- Identify resources and timeline
- Risk assessment and mitigation plan
**Done:** Plan approved by stakeholders
**Fail:** Plan not feasible, resource gaps
### Phase 3: Execution
- Implement solution per plan
- Continuous progress monitoring
- Adjust as needed based on feedback
**Done:** Implementation complete, all tests pass
**Fail:** Critical blockers, quality issues
### Phase 4: Review & Validation
- Validate outcomes against criteria
- Document lessons learned
- Handoff to stakeholders
**Done:** Stakeholder acceptance, documentation complete
**Fail:** Quality gaps, unresolved issues
## Error Handling
### Common Failure Modes
| Mode | Detection | Recovery Strategy |
|------|-----------|-------------------|
| Quality failure | Test/verification fails | Revise and re-verify |
| Resource shortage | Budget/time exceeded | Replan with constraints |
| Scope creep | Requirements expand | Reassess and negotiate |
| Safety incident | Risk threshold exceeded | Stop, mitigate, restart |
### Recovery Strategies
- **Retry with exponential backoff** for transient failures
- **Fallback to default values** when primary approach fails
- **Circuit breaker:** 3 failures → 60s cooldown
- **Graceful degradation** for non-critical issues
- **Timeout handling:** 30s default, 300s max
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