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Jordan Ritter
69c964aca2
Adds per-integration D6 fixtures for langgraph-python, langgraph-typescript, and langgraph-fastapi. Each fixture is keyed by match.context for cross- integration isolation and uses hasToolResult:false on toolCall responses to prevent re-match loops.
32 lines
1.6 KiB
JSON
32 lines
1.6 KiB
JSON
{
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"_meta": {
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"description": "D6 fixtures for langgraph-python / multimodal",
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"sourceFile": "d5-multimodal.ts",
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"created": "2026-05-22"
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},
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"fixtures": [
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{
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"_comment": "multimodal — sample image turn. The probe clicks 'Try with sample image' which auto-sends via agent.addMessage. The assertion checks the assistant transcript contains the keyword 'image'. The userMessage here matches the agentic-chat fixture for 'describe the sample image' which is the message the sample-attachment-buttons component dispatches.",
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"match": {
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"userMessage": "describe the sample image",
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"turnIndex": 0,
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"context": "langgraph-python"
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},
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"response": {
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"content": "The image attachment shows a small abstract test pattern used by the multimodal demo to validate the image-upload pipeline. Successful render of this response confirms the binary attachment round-tripped through the runtime."
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}
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},
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{
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"_comment": "multimodal — sample PDF turn. The probe clicks 'Try with sample PDF' which auto-sends. The assertion checks the assistant transcript contains the keyword 'document'.",
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"match": {
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"userMessage": "summarize the sample document",
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"turnIndex": 0,
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"context": "langgraph-python"
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},
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"response": {
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"content": "The PDF document contains a single test page used by the multimodal demo. Its text was flattened by pypdf on the Python side and forwarded as text content to the model. Receiving this response confirms the document upload path works."
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}
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}
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]
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}
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