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Agents can analyze EML files to extract key information and provide summaries. First validate your EML file with Timbal’s File type, then pass it alongside text in a list: 
from timbal import Agent
from timbal.types.file import File

agent = Agent(
    name="EmailSummarizer",
    model="openai/gpt-4.1-mini",
    system_prompt="Summarize emails and extract key information like sender, subject, main points, and action items."
)

# Validate EML file and summarize
eml_file = File.validate("path/to/email.eml")
result = await agent(
    prompt=["Summarize this email and extract the key points", eml_file]
).collect()

print(result.output.content[0].text)

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Key Features

  • Email Summarization: Extract key information from email content
  • Structured Analysis: Identify sender, subject, main points, and action items
  • File Support: Works with local files, URLs, and base64 data