wehub-resource-sync
190 lines
11 KiB
JSON
190 lines
11 KiB
JSON
{
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"_meta": {
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"description": "D6 fixtures for ms-agent-python / tool-rendering-reasoning-chain",
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"sourceFile": "d5-all.json",
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"copiedFrom": "langgraph-python",
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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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"_comment": "tool-rendering-reasoning-chain pill 1 (stocks) \u2014 final narration after the MSFT tool result lands. Specific toolCallId so this matches BEFORE the first-leg fixture below despite the same userMessage substring. Source: showcase/harness/fixtures/d5/tool-rendering-reasoning-chain.json.",
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"match": {
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"userMessage": "Compare AAPL and MSFT stocks",
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"toolCallId": "call_rc_stock_msft_001",
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"context": "ms-agent-python"
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},
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"response": {
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"content": "AAPL is at $338.37 (-2.96% on the day) while MSFT is at $412.18 (+1.08%). MSFT is outpacing AAPL by roughly 4 points today \u2014 strong day for MSFT, rough one for AAPL."
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 1 (stocks) \u2014 second leg: after get_stock_price(AAPL) returns, chain to MSFT for the comparison.",
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"match": {
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"userMessage": "Compare AAPL and MSFT stocks",
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"toolCallId": "call_rc_stock_aapl_001",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "AAPL quote is in hand. The user explicitly asked to compare AAPL with MSFT, so I'll fetch MSFT next and then summarize the side-by-side.",
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"content": "Now pulling MSFT to complete the comparison.",
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"toolCalls": [
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{
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"id": "call_rc_stock_msft_001",
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"name": "get_stock_price",
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"arguments": "{\"ticker\":\"MSFT\",\"price_usd\":412.18,\"change_pct\":1.08}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 1 (stocks) \u2014 first leg: emit get_stock_price(AAPL). The `Compare AAPL and MSFT stocks` substring is unique to this demo's pill prompt \u2014 other integrations' reasoning-chain demos still send the older `How is AAPL doing?` prompt \u2014 so we don't need a tool-name gate and the fixture stays scoped to langgraph-python without affecting fleet-wide aimock traffic. MUST appear before the bare 'AAPL' fixtures later in this file.",
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"match": {
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"userMessage": "Compare AAPL and MSFT stocks",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "The user asked to compare AAPL and MSFT. I'll fetch AAPL first, then MSFT, then summarize the deltas in a single sentence so the comparison is the punchline.",
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"content": "Pulling the AAPL quote first.",
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"toolCalls": [
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{
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"id": "call_rc_stock_aapl_001",
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"name": "get_stock_price",
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"arguments": "{\"ticker\":\"AAPL\",\"price_usd\":338.37,\"change_pct\":-2.96}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 2 (dice) \u2014 final narration after the d6 contrast roll lands. userMessage is the LANGGRAPH-PYTHON-UNIQUE tail of the pill prompt ('compare it to a smaller one'); other integrations' reasoning-chain demos still send the older 'Roll a 20-sided die for me.' (no period-after-die substring match against 'Roll a 20-sided die.') which lacks this suffix \u2014 so this fixture stays scoped to this demo and does NOT hijack the older 5x roll_d20 fixtures further down in this file.",
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"match": {
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"userMessage": "compare it to a smaller one",
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"toolCallId": "call_rc_dice_d6_001",
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"context": "ms-agent-python"
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},
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"response": {
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"content": "The d20 came up 14, and a d6 for contrast landed on 4 \u2014 the d20's range is much wider, which is the whole point of the comparison."
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 2 (dice) \u2014 second leg: after roll_dice(sides=20) returns, chain a smaller die for contrast.",
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"match": {
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"userMessage": "compare it to a smaller one",
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"toolCallId": "call_rc_dice_d20_001",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "Got the d20 result. The user explicitly asked to compare it to a smaller die \u2014 a d6 is a natural choice because its 1-6 range is what most people picture when they think 'die'. Rolling that next.",
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"content": "Now rolling a d6 for contrast.",
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"toolCalls": [
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{
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"id": "call_rc_dice_d6_001",
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"name": "roll_dice",
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"arguments": "{\"sides\":6}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 2 (dice) \u2014 first leg: emit roll_dice(sides=20). Unique substring 'compare it to a smaller one' keeps us scoped to this demo (other integrations' dice pills still send 'Roll a 20-sided die for me.' and fall through to the older 5x roll_d20 fixtures further down). NB: aimock's `toolName` gate is a tool-LIST gate, not a tool-CALL gate; we don't use it here because the reasoning-chain agents across the fleet all register `roll_dice`, so a `toolName: roll_dice` claim would NOT have distinguished this demo from the others.",
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"match": {
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"userMessage": "compare it to a smaller one",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "The user asked for a d20 roll and wants to compare it against a smaller die. I'll roll the d20 first, then chain a smaller die so the contrast in possible-value ranges is concrete and observable.",
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"content": "Rolling the d20 now.",
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"toolCalls": [
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{
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"id": "call_rc_dice_d20_001",
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"name": "roll_dice",
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"arguments": "{\"sides\":20}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 3 (flights + destination weather) \u2014 final narration after get_weather(JFK) lands. userMessage is the LANGGRAPH-PYTHON-UNIQUE tail 'show me the weather there'; the basic tool-rendering demos AND every other integration's reasoning-chain demo still send 'Find flights from SFO to JFK.' (no destination-weather request) which lacks this substring, so this fixture stays scoped to this demo without affecting fleet-wide aimock traffic.",
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"match": {
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"userMessage": "show me the weather there",
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"toolCallId": "call_rc_weather_jfk_001",
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"context": "ms-agent-python"
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},
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"response": {
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"content": "Three flights from SFO to JFK \u2014 United UA231 at 08:15 ($348), Delta DL412 at 11:20 ($312), and JetBlue B6722 at 17:05 ($289). JFK is currently 68\u00b0F and sunny \u2014 easy travel weather on the receiving end."
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 3 (flights + destination weather) \u2014 second leg: after search_flights(SFO,JFK) returns, chain to destination weather.",
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"match": {
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"userMessage": "show me the weather there",
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"toolCallId": "call_rc_flights_jfk_001",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "Flights are in hand. The user explicitly asked for the destination weather as part of the request, so pulling JFK weather next to round out the trip plan.",
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"content": "Pulling JFK weather to round out the trip plan.",
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"toolCalls": [
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{
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"id": "call_rc_weather_jfk_001",
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"name": "get_weather",
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"arguments": "{\"location\":\"JFK\"}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering-reasoning-chain pill 3 (flights + destination weather) \u2014 first leg: emit search_flights(SFO,JFK). The 'show me the weather there' substring is unique to this demo's pill, so the basic tool-rendering demo's bare 'Find flights from SFO to JFK.' prompt (and the equivalent prompts in other integrations' reasoning-chain demos that have not yet been ported to the chained phrasing) flow through to the basic single-tool flights fixture later in the file.",
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"match": {
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"userMessage": "show me the weather there",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "The user wants flights from SFO to JFK AND the destination weather. I'll call search_flights first, then chain get_weather on JFK so they have flight options and arrival conditions in one reply.",
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"content": "Searching SFO\u2192JFK flights.",
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"toolCalls": [
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{
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"id": "call_rc_flights_jfk_001",
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"name": "search_flights",
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"arguments": "{\"origin\":\"SFO\",\"destination\":\"JFK\"}"
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}
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]
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}
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},
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{
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"_comment": "tool-rendering pill: Find flights \u2014 first leg (verbatim pill prompt, dedicated search_flights fixture). MUST take precedence over the a2ui beautiful-chat fixture below (which uses the same tool name with non-flight-list args shape). Intentionally omits `hasToolResult` so this fixture also matches when SFO/JFK is the SECOND turn of a multi-turn flow (e.g. tool-rendering-reasoning-chain probe sends weather\u2192flights). With `hasToolResult: false`, Turn 1's tool result would prevent this fixture from matching Turn 2's first leg, and the matcher would fall through to the second-leg fixture above (which now requires a matching `toolCallId` so it cannot swallow this request).",
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"match": {
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"userMessage": "Find flights from SFO to JFK.",
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"turnIndex": 0,
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"context": "ms-agent-python"
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},
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"response": {
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"toolCalls": [
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{
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"id": "call_tr_flights_sfo_jfk_001",
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"name": "search_flights",
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"arguments": "{\"origin\":\"SFO\",\"destination\":\"JFK\"}"
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}
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]
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}
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},
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{
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"_comment": "D5 mcp-apps probe \u2014 verbatim probe prompt drives a real `create_view` MCP tool call so the runtime's MCP Apps middleware fetches the UI resource and mounts the iframe. Mirrored in showcase/harness/fixtures/d5/mcp-apps.json. Non-empty `content` is load-bearing (see tool-rendering-reasoning-chain.json header).",
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"match": {
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"userMessage": "Open Excalidraw and sketch a system diagram",
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"toolName": "create_view",
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"context": "ms-agent-python"
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},
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"response": {
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"reasoning": "The user wants a sketch of a client/server/database architecture. I'll call create_view once with three labelled rectangles connected by arrows and a title, framed by a cameraUpdate.",
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"content": "Sketching a client \u2192 server \u2192 database diagram in Excalidraw.",
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"toolCalls": [
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{
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"id": "call_d5_mcp_apps_create_view_001",
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"name": "create_view",
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"arguments": "{\"elements\":[{\"id\":\"title\",\"type\":\"text\",\"x\":260,\"y\":40,\"text\":\"System Diagram\",\"fontSize\":24},{\"id\":\"client\",\"type\":\"rectangle\",\"x\":80,\"y\":160,\"width\":160,\"height\":70,\"label\":{\"text\":\"Client\",\"fontSize\":18}},{\"id\":\"server\",\"type\":\"rectangle\",\"x\":320,\"y\":160,\"width\":160,\"height\":70,\"label\":{\"text\":\"Server\",\"fontSize\":18}},{\"id\":\"database\",\"type\":\"rectangle\",\"x\":560,\"y\":160,\"width\":160,\"height\":70,\"label\":{\"text\":\"Database\",\"fontSize\":18}},{\"id\":\"a1\",\"type\":\"arrow\",\"x\":240,\"y\":195,\"endX\":320,\"endY\":195},{\"id\":\"a2\",\"type\":\"arrow\",\"x\":480,\"y\":195,\"endX\":560,\"endY\":195},{\"id\":\"camera\",\"type\":\"cameraUpdate\",\"x\":40,\"y\":0,\"width\":800,\"height\":600}]}"
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}
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]
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}
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}
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]
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} |