mirror of
https://github.com/CopilotKit/CopilotKit.git
synced 2026-09-14 16:26:20 +08:00
Jordan Ritter
c414fbad23
Refresh d6 fixtures across the rollout cohort: ag2, built-in-agent,
claude-sdk-{python,typescript}, crewai-crews, google-adk, langgraph-fastapi,
langgraph-typescript, langroid, llamaindex, mastra, ms-agent-{dotnet,python},
pydantic-ai, strands. Companion d4/{langgraph-typescript,mastra,ms-agent-dotnet}
chat.json refreshes. Add the missing ms-agent-python/gen-ui-custom.json
to bring the integration up to the standard pill set.
Also narrow aimock/shared/common.json's generic 'hello' fixture to
'hello world' so it no longer shadows D6 pills whose prompts contain
'hello' as a substring (e.g. langgraph-python headless-simple sends
'Say hello in one short sentence.'). 'hello world' is unused by any
current demo pill, so the fixture remains a manual-typing fallback
without poisoning fixture matching.
This is a mid-rollout snapshot — fixture coverage is uneven across
integrations and rides alongside the conveyance shims landed earlier
in this branch.
113 lines
3.4 KiB
JSON
113 lines
3.4 KiB
JSON
{
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"_meta": {
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"description": "D6 fixtures for ag2 / beautiful-chat",
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"sourceFile": "d5-all.json",
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"created": "2026-05-21"
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},
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"fixtures": [
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: bar chart of expenses by category",
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"hasToolResult": false,
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"context": "ag2"
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},
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"response": {
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"toolCalls": [
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{
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"id": "call_d5_bc_bar_chart_001",
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"name": "barChart",
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"arguments": "{\"title\":\"Expenses by Category\",\"description\":\"Monthly expense breakdown\",\"data\":[{\"label\":\"Rent\",\"value\":15000},{\"label\":\"Salaries\",\"value\":80000},{\"label\":\"Marketing\",\"value\":12000},{\"label\":\"Travel\",\"value\":5000}]}"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: bar chart of expenses by category",
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"hasToolResult": true,
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"context": "ag2"
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},
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"response": {
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"content": "Bar chart rendered above — Salaries dominate at $80k, with Rent at $15k as the next-largest category."
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: pie chart of revenue distribution by category",
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"hasToolResult": false,
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"context": "ag2"
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},
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"response": {
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"toolCalls": [
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{
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"id": "call_d5_bc_pie_chart_001",
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"name": "pieChart",
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"arguments": "{\"title\":\"Revenue by Category\",\"description\":\"Breakdown of revenue across product categories\",\"data\":[{\"label\":\"Electronics\",\"value\":42000},{\"label\":\"Clothing\",\"value\":28000},{\"label\":\"Food\",\"value\":18000},{\"label\":\"Books\",\"value\":12000}]}"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: pie chart of revenue distribution by category",
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"hasToolResult": true,
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"context": "ag2"
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},
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"response": {
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"content": "Pie chart rendered above — Electronics leads at $42k, followed by Clothing, Food, and Books."
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: schedule a 30-minute meeting to learn about CopilotKit",
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"hasToolResult": false,
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"context": "ag2"
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},
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"response": {
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"toolCalls": [
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{
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"id": "call_d5_bc_schedule_time_001",
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"name": "scheduleTime",
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"arguments": "{\"reasonForScheduling\":\"Learn about CopilotKit\",\"meetingDuration\":30}"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: schedule a 30-minute meeting to learn about CopilotKit",
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"hasToolResult": true,
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"context": "ag2"
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},
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"response": {
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"content": "Meeting scheduled — calendar invite is on its way."
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: toggle the theme",
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"hasToolResult": false,
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"context": "ag2"
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},
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"response": {
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"toolCalls": [
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{
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"id": "call_d5_bc_toggle_theme_001",
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"name": "toggleTheme",
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"arguments": "{}"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "d5 beautiful-chat probe: toggle the theme",
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"hasToolResult": true,
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"context": "ag2"
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},
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"response": {
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"content": "Theme toggled."
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}
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}
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]
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} |