5.2d Agent 高级技巧
💡 一句话总结:掌握 Agent 的高级技巧,优化性能和用户体验。
学完你能做什么
- 掌握 Agent 性能优化方法
- 能实现智能上下文管理
- 能自定义 Agent 的交互方式
- 能解决复杂场景的问题
🎒 开始前的准备
确保你已经完成以下事项:
- [ ] 完成了 5.2b Agent 设计模式
- [ ] 有创建 Agent 的经验
核心思路
高级技巧概览
- 上下文压缩
- 智能预加载
- 自定义交互
- 性能监控
- 自适应学习
高级配置
上下文管理
yaml
agents:
advanced-agent:
name: "高级助手"
description: "智能管理上下文的助手"
context:
max_history: 50
max_tokens: 8000
compression:
enabled: true
strategy: "smart"
keep_recent: 5
summary_threshold: 10
preserve:
- "用户偏好"
- "项目结构"
- "关键决策"
priorities:
- name: "recent"
weight: 1.0
- name: "important"
weight: 2.0
- name: "frequently_used"
weight: 1.5
memory:
enabled: true
type: "persistent"
directory: "~/.opencode/agents/memory"
ttl: "30d"性能优化
yaml
agents:
perf-agent:
name: "性能优化助手"
description: "经过优化的快速响应助手"
performance:
caching:
enabled: true
strategy: "aggressive"
ttl: 3600
types:
- "file_content"
- "search_results"
- "lsp_response"
preload:
enabled: true
triggers:
- "file_open"
- "import_detected"
- "typing_pause"
strategies:
- "dependencies"
- "related_files"
- "type_definitions"
parallel:
enabled: true
max_workers: 4
tasks:
- "file_search"
- "lsp_requests"
- "web_requests"智能预加载
yaml
agents:
preload-agent:
name: "预加载助手"
description: "提前准备资源的助手"
preload:
enabled: true
file_based:
- pattern: "import.*from"
action: "load_module"
- pattern: "require\\("
action: "load_module"
- pattern: "from.*import"
action: "load_symbols"
context_based:
- when: "typing_import"
action: "preload_dependencies"
- when: "editing_config"
action: "validate_config"
- when: "writing_test"
action: "load_test_frameworks"自定义交互
yaml
agents:
interactive-agent:
name: "交互式助手"
description: "支持多种交互方式的助手"
interaction:
modes:
- conversational
- command_line
- autocomplete
- suggestions
suggestions:
enabled: true
trigger: "typing"
max_suggestions: 5
types:
- "code_completion"
- "command_suggestion"
- "file_path"
- "reference"
shortcuts:
- key: "ctrl+space"
action: "trigger_suggestions"
- key: "ctrl+enter"
action: "send_message"
- key: "ctrl+r"
action: "search_history"
formatting:
auto_format: true
format_on_send: true
rules:
- "fix_indentation"
- "close_brackets"
- "fix_quotes"自适应学习
yaml
agents:
learning-agent:
name: "学习助手"
description: "能从交互中学习的助手"
learning:
enabled: true
feedback:
types:
- "explicit_rating"
- "implicit_behavior"
- "correction"
collection:
- "user_ratings"
- "task_completion"
- "error_rate"
processing:
- "pattern_detection"
- "preference_extraction"
- "style_adaptation"
adaptation:
speed: "moderate"
aspects:
- name: "verbosity"
learn_from: "feedback"
- name: "formatting"
learn_from: "corrections"
- name: "approach"
learn_from: "success_rate"跟我做
实战:创建一个高性能助手
目标:配置一个响应快速、性能优秀的助手
yaml
agents:
high-perf-agent:
name: "高性能助手"
description: "经过深度优化的快速助手"
role: |
你是一个快速响应的助手,总是能在最短时间内给出高质量的答案。
context:
max_history: 20
compression:
enabled: true
keep_recent: 3
priorities:
- "current_task"
- "user_preferences"
- "project_context"
performance:
caching:
enabled: true
ttl: 1800
types:
- "frequently_asked"
- "file_content"
- "search_results"
preload:
enabled: true
triggers:
- "file_open"
- "import_statement"
interaction:
suggestions:
enabled: true
max_suggestions: 3
formatting:
auto_format: true
learning:
enabled: true
adaptation:
speed: "fast"📋 高级配置模板
模板 1:企业级助手
yaml
agents:
enterprise-agent:
name: "企业助手"
description: "适合企业使用的高级助手"
context:
compression:
enabled: true
strategy: "aggressive"
security:
encryption: true
audit: true
performance:
caching:
enabled: true
distributed: true
interaction:
multi_user: true
permissions: "per_user"模板 2:开发者助手
yaml
agents:
dev-assistant:
name: "开发助手"
description: "专为开发者设计的助手"
context:
max_history: 100
preserve:
- "code_patterns"
- "project_structure"
performance:
lsp_integration: true
file_watching: true
interaction:
ide_integration: true
shortcuts: true检查点 ✅
全部通过才能继续
- [ ] 理解上下文管理
- [ ] 能配置性能优化
- [ ] 能实现智能预加载
- [ ] 能自定义交互方式
本课小结
你学会了:
- 上下文压缩和管理
- 性能优化配置
- 智能预加载
- 自定义交互方式
- 自适应学习
下一课预告
下一课我们将学习 Skill 基础,掌握如何封装复杂指令。
📚 更多完整模板:Prompt 模板库

