> ## Documentation Index
> Fetch the complete documentation index at: https://ikun.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 上传文件

## 代码

```python cookbook/apps/playground/upload_files.py theme={null}
from agno.agent import Agent
from agno.knowledge.combined import CombinedKnowledgeBase
from agno.knowledge.csv import CSVKnowledgeBase
from agno.knowledge.docx import DocxKnowledgeBase
from agno.knowledge.json import JSONKnowledgeBase
from agno.knowledge.pdf import PDFKnowledgeBase
from agno.knowledge.text import TextKnowledgeBase
from agno.models.google.gemini import Gemini
from agno.models.openai import OpenAIChat
from agno.playground import Playground
from agno.storage.postgres import PostgresStorage
from agno.vectordb.pgvector import PgVector

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"

knowledge_base = CombinedKnowledgeBase(
    sources=[
        PDFKnowledgeBase(
            vector_db=PgVector(table_name="recipes_pdf", db_url=db_url), path=""
        ),
        CSVKnowledgeBase(
            vector_db=PgVector(table_name="recipes_csv", db_url=db_url), path=""
        ),
        DocxKnowledgeBase(
            vector_db=PgVector(table_name="recipes_docx", db_url=db_url), path=""
        ),
        JSONKnowledgeBase(
            vector_db=PgVector(table_name="recipes_json", db_url=db_url), path=""
        ),
        TextKnowledgeBase(
            vector_db=PgVector(table_name="recipes_text", db_url=db_url), path=""
        ),
    ],
    vector_db=PgVector(table_name="recipes_combined", db_url=db_url),
)

file_agent = Agent(
    name="文件上传代理",
    agent_id="file-upload-agent",
    role="Answer questions about the uploaded files",
    model=OpenAIChat(id="gpt-4o-mini"),
    storage=PostgresStorage(
        table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
    ),
    knowledge=knowledge_base,
    show_tool_calls=True,
    markdown=True,
)


audio_agent = Agent(
    name="音频理解代理",
    agent_id="audio-understanding-agent",
    role="Answer questions about audio files",
    model=OpenAIChat(id="gpt-4o-audio-preview"),
    storage=PostgresStorage(
        table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
    ),
    add_history_to_messages=True,
    add_datetime_to_instructions=True,
    show_tool_calls=True,
    markdown=True,
)

video_agent = Agent(
    name="视频理解代理",
    model=Gemini(id="gemini-2.0-flash"),
    agent_id="video-understanding-agent",
    role="Answer questions about video files",
    storage=PostgresStorage(
        table_name="agent_sessions", db_url=db_url, auto_upgrade_schema=True
    ),
    add_history_to_messages=True,
    add_datetime_to_instructions=True,
    show_tool_calls=True,
    markdown=True,
)

playground = Playground(
    agents=[file_agent, audio_agent, video_agent],
    name="上传文件游乐场",
    description="上传文件并就文件内容提问",
    app_id="upload-files-playground",
)
app = playground.get_app()

if __name__ == "__main__":
    playground.serve(app="upload_files:app", reload=True)

```

## 用法

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="设置您的 API 密钥">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    export GOOGLE_API_KEY=xxx
    ```
  </Step>

  <Step title="安装库">
    ```bash theme={null}

    pip install -U agno "uvicorn[standard]" openai google-generativeai psycopg-binary

    pip install -U "agno[pdf,csv,docx,json,text]"
    ```
  </Step>

  <Step title="运行 Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/apps/playground/upload_files.py
      ```

      ```bash Windows theme={null}
      python cookbook/apps/playground/upload_files.py
      ```
    </CodeGroup>
  </Step>
</Steps>