Files
Overview
Section titled “Overview”CrewAI supports native multimodal file inputs, allowing you to pass images, PDFs, audio, video, and text files directly to your agents. Files are automatically formatted for each LLM provider’s API requirements.
File Types
Section titled “File Types”CrewAI supports five specific file types plus a generic File class that auto-detects the type:
| Type | Class | Use Cases |
|---|---|---|
| Image | ImageFile | Photos, screenshots, diagrams, charts |
PDFFile | Documents, reports, papers | |
| Audio | AudioFile | Voice recordings, podcasts, meetings |
| Video | VideoFile | Screen recordings, presentations |
| Text | TextFile | Code files, logs, data files |
| Generic | File | Auto-detect type from content |
from crewai_files import File, ImageFile, PDFFile, AudioFile, VideoFile, TextFile
image = ImageFile(source="screenshot.png")pdf = PDFFile(source="report.pdf")audio = AudioFile(source="meeting.mp3")video = VideoFile(source="demo.mp4")text = TextFile(source="data.csv")
file = File(source="document.pdf")File Sources
Section titled “File Sources”The source parameter accepts multiple input types and auto-detects the appropriate handler:
From Path
Section titled “From Path”from crewai_files import ImageFile
image = ImageFile(source="./images/chart.png")From URL
Section titled “From URL”from crewai_files import ImageFile
image = ImageFile(source="https://example.com/image.png")From Bytes
Section titled “From Bytes”from crewai_files import ImageFile, FileBytes
image_bytes = download_image_from_api()image = ImageFile(source=FileBytes(data=image_bytes, filename="downloaded.png"))image = ImageFile(source=image_bytes)Using Files
Section titled “Using Files”Files can be passed at multiple levels, with more specific levels taking precedence.
With Crews
Section titled “With Crews”Pass files when kicking off a crew:
from crewai import Crewfrom crewai_files import ImageFile
crew = Crew(agents=[analyst], tasks=[analysis_task])
result = crew.kickoff( inputs={"topic": "Q4 Sales"}, input_files={ "chart": ImageFile(source="sales_chart.png"), "report": PDFFile(source="quarterly_report.pdf"), })With Tasks
Section titled “With Tasks”Attach files to specific tasks:
from crewai import Taskfrom crewai_files import ImageFile
task = Task( description="Analyze the sales chart and identify trends in {chart}", expected_output="A summary of key trends", input_files={ "chart": ImageFile(source="sales_chart.png"), })With Flows
Section titled “With Flows”Pass files to flows, which automatically inherit to crews:
from crewai.flow.flow import Flow, startfrom crewai_files import ImageFile
class AnalysisFlow(Flow): @start() def analyze(self): return self.analysis_crew.kickoff()
flow = AnalysisFlow()result = flow.kickoff( input_files={"image": ImageFile(source="data.png")})With Standalone Agents
Section titled “With Standalone Agents”Pass files directly to agent kickoff:
from crewai import Agentfrom crewai_files import ImageFile
agent = Agent( role="Image Analyst", goal="Analyze images", backstory="Expert at visual analysis", llm="gpt-4o",)
result = agent.kickoff( messages="What's in this image?", input_files={"photo": ImageFile(source="photo.jpg")},)File Precedence
Section titled “File Precedence”When files are passed at multiple levels, more specific levels override broader ones:
Flow input_files < Crew input_files < Task input_filesFor example, if both Flow and Task define a file named "chart", the Task’s version is used.
Provider Support
Section titled “Provider Support”Different providers support different file types. CrewAI automatically formats files for each provider’s API.
| Provider | Image | Audio | Video | Text | |
|---|---|---|---|---|---|
| OpenAI (completions API) | ✓ | ||||
| OpenAI (responses API) | ✓ | ✓ | ✓ | ||
| Anthropic (claude-3.x) | ✓ | ✓ | |||
| Google Gemini (gemini-1.5, 2.0, 2.5) | ✓ | ✓ | ✓ | ✓ | ✓ |
| AWS Bedrock (claude-3) | ✓ | ✓ | |||
| Azure OpenAI (gpt-4o) | ✓ | ✓ |
How Files Are Sent
Section titled “How Files Are Sent”CrewAI automatically chooses the optimal method to send files to each provider:
| Method | Description | Used When |
|---|---|---|
| Inline Base64 | File embedded directly in the request | Small files (< 5MB typically) |
| File Upload API | File uploaded separately, referenced by ID | Large files that exceed threshold |
| URL Reference | Direct URL passed to the model | File source is already a URL |
Provider Transmission Methods
Section titled “Provider Transmission Methods”| Provider | Inline Base64 | File Upload API | URL References |
|---|---|---|---|
| OpenAI | ✓ | ✓ (> 5 MB) | ✓ |
| Anthropic | ✓ | ✓ (> 5 MB) | ✓ |
| Google Gemini | ✓ | ✓ (> 20 MB) | ✓ |
| AWS Bedrock | ✓ | ✓ (S3 URIs) | |
| Azure OpenAI | ✓ | ✓ |
File Handling Modes
Section titled “File Handling Modes”Control how files are processed when they exceed provider limits:
from crewai_files import ImageFile, PDFFile
image = ImageFile(source="large.png", mode="strict")image = ImageFile(source="large.png", mode="auto")image = ImageFile(source="large.png", mode="warn")pdf = PDFFile(source="large.pdf", mode="chunk")Provider Constraints
Section titled “Provider Constraints”Each provider has specific limits for file sizes and dimensions:
OpenAI
Section titled “OpenAI”- Images: Max 20 MB, up to 10 images per request
- PDFs: Max 32 MB, up to 100 pages
- Audio: Max 25 MB, up to 25 minutes
Anthropic
Section titled “Anthropic”- Images: Max 5 MB, max 8000x8000 pixels, up to 100 images
- PDFs: Max 32 MB, up to 100 pages
Google Gemini
Section titled “Google Gemini”- Images: Max 100 MB
- PDFs: Max 50 MB
- Audio: Max 100 MB, up to 9.5 hours
- Video: Max 2 GB, up to 1 hour
AWS Bedrock
Section titled “AWS Bedrock”- Images: Max 4.5 MB, max 8000x8000 pixels
- PDFs: Max 3.75 MB, up to 100 pages
Referencing Files in Prompts
Section titled “Referencing Files in Prompts”Use the file’s key name in your task descriptions to reference files:
task = Task( description=""" Analyze the provided materials: 1. Review the chart in {sales_chart} 2. Cross-reference with data in {quarterly_report} 3. Summarize key findings """, expected_output="Analysis summary with key insights", input_files={ "sales_chart": ImageFile(source="chart.png"), "quarterly_report": PDFFile(source="report.pdf"), })