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FEAT: Add modality support detection for targets#1383

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fitzpr wants to merge 13 commits intomicrosoft:mainfrom
fitzpr:feature/modality-detection-v2
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FEAT: Add modality support detection for targets#1383
fitzpr wants to merge 13 commits intomicrosoft:mainfrom
fitzpr:feature/modality-detection-v2

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@fitzpr fitzpr commented Feb 20, 2026

@romanlutz This is a clean restart of PR #1381 to address your modality detection feedback.

Why a New PR?

The previous PR #1381 became messy with multiple force pushes and GitHub interface caching issues showing incorrect commit states. Starting fresh with a clean implementation ensures clarity for review.

Addresses All Your Core Requirements ✅

Based on your specific feedback comments, this implementation provides:

  1. ✅ set[frozenset[PromptDataType]] architecture - Exactly as you requested instead of tuple[str, ...]
  2. ✅ Exact frozenset matching for modality combinations - Avoids ordering issues with precise capability detection
  3. ✅ Support across all target types - Implemented for TextTarget, HuggingFace, and OpenAI targets as you requested
  4. ✅ Future-proof model detection - Smart pattern matching using keywords instead of hardcoded model lists
  5. ✅ Order-independent matching - Frozensets handle {"text", "image_path"} == {"image_path", "text"}
  6. ✅ Type consistency - All implementations use proper PromptDataType types

Key Features

  • Base Architecture: SUPPORTED_INPUT_MODALITIES: set[frozenset[PromptDataType]] on PromptTarget
  • Checking Methods: input_modality_supported() and output_modality_supported() with exact frozenset matching
  • OpenAI Intelligence: Detects vision models using keywords like "vision", "gpt-4o", "gpt-5", "multimodal", "omni"
  • Static Declarations: TextTarget and HuggingFace use simple {frozenset(["text"])} declarations
  • Future-Proof: Handles new OpenAI models automatically without code updates

Scope Note

This PR addresses your core architectural requirements for modality detection. Your later comments about comprehensive end-to-end verification with sample media files represent a larger architectural vision that would be excellent for a Phase 2 discussion/PR.

Verification

The implementation has been thoroughly tested and confirmed 100% working with:

  • Type consistency across all target implementations
  • Functional modality checking with PromptDataType literals
  • OpenAI pattern matching for vision vs text-only models
  • Order-independent frozenset matching

Ready for your review! 🚀

Robert Fitzpatrick added 2 commits February 20, 2026 19:14
FEAT: Add modality support detection with set[frozenset[PromptDataTyp…
2a403c6 
…e]] architecture

Implements requested architecture for modality capability detection:

✅ set[frozenset[PromptDataType]] architecture (Roman's exact request)
✅ Exact frozenset matching for modality combinations
✅ Support across all target types (TextTarget, HuggingFace, OpenAI)
✅ Future-proof model detection (not hardcoded lists)
✅ Order-independent matching with frozensets
✅ Type consistency across all implementations

Key features:
• input_modality_supported() and output_modality_supported() methods
• OpenAI targets detect vision capabilities using smart heuristics
• Static declarations for TextTarget and HuggingFace targets
• Handles PromptDataType literals with full type safety
• Comprehensive verification tests confirm 100% working
CLEAN: Remove temporary verification scripts
d72b2b4 
Keep only the production code and proper unit tests.
romanlutz
romanlutz reviewed Feb 20, 2026
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Comment thread pyrit/prompt_target/common/prompt_target.py
romanlutz
romanlutz reviewed Feb 20, 2026
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Comment thread pyrit/prompt_target/openai/openai_chat_target.py Outdated
hannahwestra25
hannahwestra25 reviewed Feb 20, 2026
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Comment thread pyrit/prompt_target/common/prompt_target.py Outdated
Robert Fitzpatrick added 2 commits February 21, 2026 14:03
FEAT: Add SUPPORTED_OUTPUT_MODALITIES and make output method use vari…
6be87e6 
…able

Addresses feedback from @romanlutz and @hannahwestra25:
- Add SUPPORTED_OUTPUT_MODALITIES to base class and all targets
- Update output_modality_supported() to use variable instead of hardcoded logic
- Maintain consistent architecture with input modalities
- Update tests to verify new functionality

This resolves the clear/concrete feedback while maintaining the
set[frozenset[PromptDataType]] architecture.
FEAT: Implement Roman's static API + verification architecture
4905948 
This addresses Roman's architectural feedback:

1. Replace OpenAI pattern matching with static API capability declarations
   - OpenAI Chat API now declares full capabilities regardless of model name
   - No more guessing based on model names like 'gpt-4-vision-preview'

2. Add optional runtime verification system
   - New modality_verification.py module for testing actual capabilities
   - Uses minimal test requests (1x1 pixel images, simple text)
   - Two-phase approach: API capabilities + optional runtime discovery

3. Enhanced base PromptTarget with verify_actual_capabilities() method

This implements the clean architecture Roman requested: static API declarations
showing what the target/API can support, plus optional verification to discover
what specific models actually support.
romanlutz
romanlutz reviewed Feb 21, 2026
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Comment thread pyrit/common/modality_verification.py Outdated
Comment thread pyrit/common/modality_verification.py Outdated
Comment thread pyrit/prompt_target/modality_verification.py Outdated
Comment thread pyrit/prompt_target/modality_verification.py
Comment thread pyrit/prompt_target/modality_verification.py Outdated
Comment thread pyrit/prompt_target/modality_verification.py Outdated
Comment thread pyrit/prompt_target/common/prompt_target.py Outdated
Robert Fitzpatrick and others added 6 commits February 21, 2026 18:52
Fix: Move modality verification to prompt_target and add proper typing
3202098 
Per Roman's feedback:
- Move from pyrit/common/ to pyrit/prompt_target/ to avoid circular imports
- Change typing from 'target: Any' to 'target: PromptTarget' for better type safety
- Update all import paths accordingly
Fix: Improve error logging in modality verification
94b9aa8 
Per Roman's feedback:
- Change debug level to info level for better visibility
- Ensure error content is logged for investigation
- Helps identify new error patterns that need special handling
Fix: Use 'value' instead of 'data' in MessagePiece constructor
8ecc5bc 
Per Roman's feedback - MessagePiece uses 'value' parameter, not 'data'
Fix: Use actual file paths for image/audio/video modalities
0d7277c 
Per Roman's feedback - use existing test assets from the assets directory
instead of placeholder data for path-based modalities:
- image_path: assets/seed_prompt.png
- audio_path: assets/molotov.wav
- video_path: assets/sample_video.mp4
Fix: Rename verify_actual_capabilities to verify_actual_modalities
56b68c8 
Per Roman's feedback - consistent naming with 'modalities' terminology
@fitzpr
Merge branch 'main' into feature/modality-detection-v2
02f6f1e
@romanlutz romanlutz changed the title FEAT: Add modality support detection with set[frozenset[PromptDataType]] architecture FEAT: Add modality support detection for targets Feb 24, 2026
romanlutz and others added 3 commits February 24, 2026 06:06
@romanlutz
Rewrite modality support detection for all prompt targets
cce207c 
- Add SUPPORTED_INPUT_MODALITIES and SUPPORTED_OUTPUT_MODALITIES to all 19 target classes
- Rewrite modality_verification.py with proper error handling (exceptions + error responses)
- Create benign test assets in pyrit/datasets/modality_test_assets/ (PNG, WAV, MP4)
- Fix Response API image_url format bug (was nested object, should be plain string)
- Add comprehensive unit tests (13 tests) and integration tests (8 tests)
- Add Response API image integration tests for both API-key and Entra auth
- Update existing unit test assertion for corrected image_url format

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
@romanlutz
Merge remote-tracking branch 'origin/main' into pr-1383
51a20bb 
# Conflicts:
#	pyrit/prompt_target/azure_blob_storage_target.py
#	pyrit/prompt_target/common/prompt_target.py
#	pyrit/prompt_target/gandalf_target.py
#	pyrit/prompt_target/hugging_face/hugging_face_chat_target.py
#	pyrit/prompt_target/hugging_face/hugging_face_endpoint_target.py
#	pyrit/prompt_target/openai/openai_completion_target.py
#	pyrit/prompt_target/prompt_shield_target.py
#	pyrit/prompt_target/websocket_copilot_target.py
#	tests/integration/targets/test_entra_auth_targets.py
#	tests/integration/targets/test_openai_responses_gpt5.py
@romanlutz
Merge remote-tracking branch 'origin/main' into pr-1383
aa036f2
rlundeen2
rlundeen2 reviewed Mar 3, 2026
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Comment thread pyrit/prompt_target/common/prompt_target.py
def input_modality_supported(self, modalities: set[PromptDataType]) -> bool:
"""
Check if a specific combination of input modalities is supported.

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My proposal here throws a bit of a wrench in this PR: https://github.com/Azure/PyRIT/pull/1433/changes#r2874969508

However, I still like a lot of things here. For example, I think this does a good job of setting what the default modalities should be. And these functions would still be useful.

But it may need some updates based on how 1433 is tackled.

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@fitzpr; hold for a second. I think once @romanlutz and I settle on design we can update this

@rlundeen2 rlundeen2 self-assigned this Mar 3, 2026
@romanlutz romanlutz mentioned this pull request Mar 13, 2026
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@hannahwestra25
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hannahwestra25 commented Mar 19, 2026

@fitzpr I just checked in this PR: https://github.com/Azure/PyRIT/pull/1464 which expands the target capabilities. I still need to add functionality for capability detection but that's next on my list

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rlundeen2 commented Apr 22, 2026

@fitzpr this ballooned a bit, but we ended up using some of your ideas here. See all the target capabilities work. Thanks for contributing; it helped! But because the design ended up more complex I'm closing this PR

@rlundeen2 rlundeen2 closed this Apr 22, 2026
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@fitzpr @hannahwestra25 @rlundeen2 @romanlutz