wehub-resource-sync
307 lines
8.7 KiB
Markdown
307 lines
8.7 KiB
Markdown
---
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search:
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exclude: true
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---
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# 高级 SQLite 会话
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`AdvancedSQLiteSession` 是基础 `SQLiteSession` 的增强版本，提供高级对话管理能力，包括对话分支、详细的使用情况分析以及结构化对话查询。
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## 功能
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- **对话分支**：从任意用户消息创建替代对话路径
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- **使用情况追踪**：按轮次提供详细的 token 使用情况分析，并包含完整的 JSON 明细
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- **结构化查询**：按轮次获取对话、工具使用统计等
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- **分支管理**：独立的分支切换与管理
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- **消息结构元数据**：跟踪消息类型、工具使用情况和对话流程
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## 快速开始
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```python
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from agents import Agent, Runner
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from agents.extensions.memory import AdvancedSQLiteSession
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# Create agent
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agent = Agent(
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name="Assistant",
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instructions="Reply very concisely.",
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)
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# Create an advanced session
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session = AdvancedSQLiteSession(
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session_id="conversation_123",
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db_path="conversations.db",
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create_tables=True
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)
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# First conversation turn
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result = await Runner.run(
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agent,
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"What city is the Golden Gate Bridge in?",
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session=session
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)
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print(result.final_output) # "San Francisco"
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# IMPORTANT: Store usage data
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await session.store_run_usage(result)
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# Continue conversation
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result = await Runner.run(
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agent,
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"What state is it in?",
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session=session
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)
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print(result.final_output) # "California"
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await session.store_run_usage(result)
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```
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## 初始化
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```python
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from agents.extensions.memory import AdvancedSQLiteSession
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# Basic initialization
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session = AdvancedSQLiteSession(
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session_id="my_conversation",
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create_tables=True # Auto-create advanced tables
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)
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# With persistent storage
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session = AdvancedSQLiteSession(
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session_id="user_123",
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db_path="path/to/conversations.db",
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create_tables=True
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)
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# With custom logger
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import logging
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logger = logging.getLogger("my_app")
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session = AdvancedSQLiteSession(
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session_id="session_456",
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create_tables=True,
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logger=logger
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)
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```
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### 参数
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- `session_id` (str)：对话会话的唯一标识符
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- `db_path` (str | Path)：SQLite 数据库文件路径。默认为 `:memory:`，用于内存存储
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- `create_tables` (bool)：是否自动创建高级表。默认为 `False`
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- `logger` (logging.Logger | None)：用于会话的自定义日志记录器。默认为模块日志记录器
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## 使用情况追踪
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AdvancedSQLiteSession 通过按对话轮次存储 token 使用情况数据，提供详细的使用情况分析。**这完全依赖于在每次智能体运行后调用 `store_run_usage` 方法。**
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### 使用情况数据存储
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```python
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# After each agent run, store the usage data
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result = await Runner.run(agent, "Hello", session=session)
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await session.store_run_usage(result)
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# This stores:
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# - Total tokens used
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# - Input/output token breakdown
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# - Request count
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# - Detailed JSON token information (if available)
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```
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### 使用情况统计检索
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```python
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# Get session-level usage (all branches)
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session_usage = await session.get_session_usage()
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if session_usage:
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print(f"Total requests: {session_usage['requests']}")
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print(f"Total tokens: {session_usage['total_tokens']}")
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print(f"Input tokens: {session_usage['input_tokens']}")
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print(f"Output tokens: {session_usage['output_tokens']}")
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print(f"Total turns: {session_usage['total_turns']}")
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# Get usage for specific branch
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branch_usage = await session.get_session_usage(branch_id="main")
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# Get usage by turn
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turn_usage = await session.get_turn_usage()
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for turn_data in turn_usage:
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print(f"Turn {turn_data['user_turn_number']}: {turn_data['total_tokens']} tokens")
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if turn_data['input_tokens_details']:
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print(f" Input details: {turn_data['input_tokens_details']}")
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if turn_data['output_tokens_details']:
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print(f" Output details: {turn_data['output_tokens_details']}")
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# Get usage for specific turn
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turn_2_usage = await session.get_turn_usage(user_turn_number=2)
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```
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## 对话分支
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AdvancedSQLiteSession 的关键功能之一是能够从任意用户消息创建对话分支，从而让你探索替代的对话路径。
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### 分支创建
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```python
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# Get available turns for branching
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turns = await session.get_conversation_turns()
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for turn in turns:
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print(f"Turn {turn['turn']}: {turn['content']}")
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print(f"Can branch: {turn['can_branch']}")
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# Create a branch from turn 2
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branch_id = await session.create_branch_from_turn(2)
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print(f"Created branch: {branch_id}")
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# Create a branch with custom name
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branch_id = await session.create_branch_from_turn(
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2,
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branch_name="alternative_path"
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)
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# Create branch by searching for content
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branch_id = await session.create_branch_from_content(
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"weather",
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branch_name="weather_focus"
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)
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```
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### 分支管理
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```python
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# List all branches
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branches = await session.list_branches()
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for branch in branches:
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current = " (current)" if branch["is_current"] else ""
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print(f"{branch['branch_id']}: {branch['user_turns']} turns, {branch['message_count']} messages{current}")
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# Switch between branches
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await session.switch_to_branch("main")
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await session.switch_to_branch(branch_id)
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# Delete a branch
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await session.delete_branch(branch_id, force=True) # force=True allows deleting current branch
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```
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### 分支工作流示例
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```python
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# Original conversation
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result = await Runner.run(agent, "What's the capital of France?", session=session)
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await session.store_run_usage(result)
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result = await Runner.run(agent, "What's the weather like there?", session=session)
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await session.store_run_usage(result)
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# Create branch from turn 2 (weather question)
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branch_id = await session.create_branch_from_turn(2, "weather_focus")
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# Continue in new branch with different question
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result = await Runner.run(
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agent,
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"What are the main tourist attractions in Paris?",
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session=session
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)
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await session.store_run_usage(result)
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# Switch back to main branch
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await session.switch_to_branch("main")
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# Continue original conversation
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result = await Runner.run(
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agent,
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"How expensive is it to visit?",
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session=session
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)
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await session.store_run_usage(result)
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```
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## 结构化查询
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AdvancedSQLiteSession 提供了多种方法，用于分析对话结构和内容。
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### 对话分析
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```python
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# Get conversation organized by turns
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conversation_by_turns = await session.get_conversation_by_turns()
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for turn_num, items in conversation_by_turns.items():
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print(f"Turn {turn_num}: {len(items)} items")
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for item in items:
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if item["tool_name"]:
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print(f" - {item['type']} (tool: {item['tool_name']})")
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else:
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print(f" - {item['type']}")
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# Get tool usage statistics
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tool_usage = await session.get_tool_usage()
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for tool_name, count, turn in tool_usage:
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print(f"{tool_name}: used {count} times in turn {turn}")
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# Find turns by content
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matching_turns = await session.find_turns_by_content("weather")
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for turn in matching_turns:
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print(f"Turn {turn['turn']}: {turn['content']}")
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```
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### 消息结构
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会话会自动跟踪消息结构，包括：
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- 消息类型（用户、assistant、tool_call 等）
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- 工具调用的工具名称
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- 轮次编号和序列号
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- 分支关联
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- 时间戳
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## 数据库架构
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AdvancedSQLiteSession 在基础 SQLite 架构之上扩展了两个额外的表：
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### message_structure 表
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```sql
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CREATE TABLE message_structure (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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session_id TEXT NOT NULL,
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message_id INTEGER NOT NULL,
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branch_id TEXT NOT NULL DEFAULT 'main',
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message_type TEXT NOT NULL,
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sequence_number INTEGER NOT NULL,
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user_turn_number INTEGER,
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branch_turn_number INTEGER,
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tool_name TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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FOREIGN KEY (session_id) REFERENCES agent_sessions(session_id) ON DELETE CASCADE,
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FOREIGN KEY (message_id) REFERENCES agent_messages(id) ON DELETE CASCADE
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);
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```
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### turn_usage 表
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```sql
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CREATE TABLE turn_usage (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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session_id TEXT NOT NULL,
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branch_id TEXT NOT NULL DEFAULT 'main',
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user_turn_number INTEGER NOT NULL,
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requests INTEGER DEFAULT 0,
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input_tokens INTEGER DEFAULT 0,
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output_tokens INTEGER DEFAULT 0,
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total_tokens INTEGER DEFAULT 0,
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input_tokens_details JSON,
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output_tokens_details JSON,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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FOREIGN KEY (session_id) REFERENCES agent_sessions(session_id) ON DELETE CASCADE,
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UNIQUE(session_id, branch_id, user_turn_number)
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);
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```
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## 完整示例
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查看[完整示例](https://github.com/openai/openai-agents-python/tree/main/examples/memory/advanced_sqlite_session_example.py)，全面了解所有功能。
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## API 参考
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- [`AdvancedSQLiteSession`][agents.extensions.memory.advanced_sqlite_session.AdvancedSQLiteSession] - 主类
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- [`Session`][agents.memory.session.Session] - 基础会话协议 |