* refactor(ai): use responses API for OpenAI/Azure, create 'other' provider for completion endpoint - Created new 'other.rs' provider using the OpenAI-compatible completion endpoint - Refactored 'openai.rs' to use the Responses API for both text and image output - Updated query_builder to route OpenAI/AzureOpenAI to OpenAIQueryBuilder - All other providers (Mistral, DeepSeek, Groq, etc.) now use OtherQueryBuilder - Updated OpenRouter to delegate to OtherQueryBuilder instead of OpenAIQueryBuilder This prepares the codebase for adding websearch tool support using the Responses API. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * feat(ai): add websearch as AI agent tool type - Added WebsearchToolValue to ToolValue enum in flows.rs - Updated all pattern matches to handle websearch tool type - Added has_websearch parameter to run_agent function - Websearch tools don't require additional configuration This prepares the backend for provider-specific websearch implementations. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * feat(frontend): add websearch as tool option in AI agent UI - Added WebsearchTool type and utility functions to agentToolUtils.ts - Added "Web Search" option in tool insertion menu (InsertModuleInner) - Updated NewAIToolNode to handle pickWebsearchTool event - Updated AIToolNode to render websearch tools properly - Updated FlowModuleSchemaMap to create websearch tools Users can now add websearch tools to AI agents through the UI. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * feat(ai): implement websearch for OpenAI provider - Added has_websearch parameter to BuildRequestArgs - OpenAI provider now adds web_search tool to requests when enabled - Uses OpenAI Responses API web_search tool type - Websearch tool is added before other custom tools in the request Implements websearch functionality for OpenAI and Azure OpenAI providers. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * feat(ai): implement websearch for Anthropic provider - Created anthropic.rs provider with native Anthropic API format - Added web_search tool to Anthropic requests when enabled - Anthropic uses /messages endpoint with x-api-key authentication - Updated query_builder to route Anthropic to new provider Implements websearch functionality for Anthropic Claude models. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * feat(ai): implement websearch for Gemini/GoogleAI provider - GoogleAI now uses completion endpoint (other.rs) for text instead of responses API - Added Google Search grounding when websearch is enabled - Uses google_search_retrieval tool in request when has_websearch is true - Updated parse methods to use OtherQueryBuilder for completion endpoint Implements websearch functionality for Google Gemini models. Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> * fix frontend * fix anthropic and openai * better for gemini * structured output * cleaning * fix validate tool * fixes * cleaning * cleaning * fix for openai * no responses api for azure * fixes * fix * add tests for ai agent * avoid panic * better tests * test user images * fix tool choice * always use streaming backend side * big cleaning * show annotations plus agent action for open ai websearch use * show annotations plus agent action for anthropic websearch use * show annotations plus agent action for google websearch use * nit forntend * rm * fix * add test for image ouptut * fix for azure * add in openflow * fix * fix * nit tests * fixes --------- Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com> Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com> Co-authored-by: centdix <farhadg110@gmail.com>
54 lines
1.9 KiB
Python
54 lines
1.9 KiB
Python
"""Tests for AI agent image output_type functionality."""
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import pytest
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from .conftest import AIAgentTestClient, create_ai_agent_flow
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from .providers import GOOGLE_AI, get_provider_ids
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# Only OpenAI supports image generation via DALL-E
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IMAGE_GENERATION_PROVIDERS = [GOOGLE_AI]
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class TestImageOutput:
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"""Test AI agent image generation with output_type='image'."""
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@pytest.mark.parametrize(
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"provider_config",
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IMAGE_GENERATION_PROVIDERS,
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ids=get_provider_ids(IMAGE_GENERATION_PROVIDERS),
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)
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def test_image_generation_returns_s3_object(
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self,
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client: AIAgentTestClient,
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setup_providers,
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setup_s3_storage,
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provider_config,
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):
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"""Test that output_type='image' generates an image and returns S3 object."""
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flow_value = create_ai_agent_flow(
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provider_input_transform={"type": "static", "value": {"kind": "googleai", "model": "gemini-2.5-flash-image-preview", "resource": "$res:u/admin/googleai"}},
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system_prompt="You are an image generation assistant.",
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output_type="image",
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)
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result = client.run_preview_flow(
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flow_value=flow_value,
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args={
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"user_message": "Generate a small simple windmill",
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},
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)
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# Verify we got an S3 object back
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assert result is not None
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assert isinstance(result, dict), f"Expected dict, got {type(result)}"
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assert "s3" in result, f"Expected 's3' key in result: {result}"
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assert result["s3"].startswith("ai_images/"), f"S3 key should start with 'ai_images/': {result['s3']}"
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assert result["s3"].endswith(".png"), f"S3 key should end with '.png': {result['s3']}"
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print(f"Image generation result: {result}")
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# Clean up generated image
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client.delete_s3_file(result["s3"])
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print(f"Cleaned up image: {result['s3']}")
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