mirror of
https://github.com/Nezumi-2711/9router.git
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Reshape Kiro direct requests so resumed client sessions reuse Kiro's cache-affinity fields instead of starting unrelated CodeWhisperer conversations. - keep conversationState.conversationId stable when the client sends an explicit session id (x-session-id, session_id, conversation_id, Claude Code session metadata) - add a stable conversationState.agentContinuationId per Kiro session - send conversationState.agentTaskType: "vibe" and agentMode: "vibe", matching the normal Kiro CLI/KAS chat path - move Kiro thinking instructions into Kiro-compatible systemPrompt / additionalModelRequestFields instead of generic top-level thinking - keep volatile timestamp context out of the top-level systemPrompt; it remains only in user content fallback - suppress additionalModelRequestFields for legacy 4.5-era Claude/Kiro models that reject it, while defaulting future Claude/Kiro model ids to supported - preserve Kiro meteringEvent credit usage internally for accounting without leaking provider-specific fields into OpenAI-compatible usage - prevent unrelated headerless Kiro requests from sharing one connection-wide continuation - cap/evict continuation sessions so long-running processes do not grow the continuation map unbounded - treat generated headerless Kiro sessions as one-shot so they do not evict real explicit-session continuations - keep credit-only Kiro metering valid for internal persistence when token metrics are unavailable
182 lines
6.4 KiB
JavaScript
182 lines
6.4 KiB
JavaScript
import { describe, it, expect } from "vitest";
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import { KiroExecutor } from "../../open-sse/executors/kiro.js";
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import "../translator/registerAll.js";
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function createMockFrame(eventType, payloadObj) {
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const payloadStr = JSON.stringify(payloadObj);
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const payloadBytes = new TextEncoder().encode(payloadStr);
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const headerName = ":event-type";
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const headerNameBytes = new TextEncoder().encode(headerName);
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const headerValueBytes = new TextEncoder().encode(eventType);
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// nameLen(1) + name + type(1) + valueLen(2) + value
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const headerLength = 1 + headerNameBytes.length + 1 + 2 + headerValueBytes.length;
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const totalLength = 12 + headerLength + payloadBytes.length + 4;
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const buffer = new Uint8Array(totalLength);
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const view = new DataView(buffer.buffer);
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view.setUint32(0, totalLength, false);
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view.setUint32(4, headerLength, false);
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let offset = 12;
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buffer[offset++] = headerNameBytes.length;
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buffer.set(headerNameBytes, offset);
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offset += headerNameBytes.length;
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buffer[offset++] = 7; // String type
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view.setUint16(offset, headerValueBytes.length, false);
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offset += 2;
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buffer.set(headerValueBytes, offset);
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offset += headerValueBytes.length;
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buffer.set(payloadBytes, offset);
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return buffer;
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}
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async function readAllSSE(stream) {
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const reader = stream.getReader();
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const decoder = new TextDecoder();
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let result = "";
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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result += decoder.decode(value, { stream: true });
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}
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return result;
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}
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async function readNextWithTimeout(reader) {
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return Promise.race([
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reader.read(),
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new Promise((_, reject) => setTimeout(() => reject(new Error("timed out waiting for SSE chunk")), 100)),
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]);
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}
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describe("KiroExecutor thinking tag stripping", () => {
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it("strips <thinking> tags from assistantResponseEvent", async () => {
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const executor = new KiroExecutor();
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// Create frames
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const f1 = createMockFrame("assistantResponseEvent", { content: "Here is my answer. <thinking>Let me think..." });
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const f2 = createMockFrame("assistantResponseEvent", { content: "still thinking...</thinking> Yes, 42." });
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const readableStream = new ReadableStream({
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start(controller) {
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controller.enqueue(f1);
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controller.enqueue(f2);
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controller.close();
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}
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});
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const mockResponse = { body: readableStream };
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const transformedResponse = executor.transformEventStreamToSSE(mockResponse, "claude-test");
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const output = await readAllSSE(transformedResponse.body);
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// Check that we got chat.completion.chunk outputs
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expect(output).toContain("chat.completion.chunk");
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// Ensure the thinking parts are gone
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expect(output).not.toContain("<thinking>");
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expect(output).not.toContain("Let me think...");
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expect(output).not.toContain("still thinking...");
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expect(output).not.toContain("</thinking>");
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// Check that the normal content is preserved
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// Parse the data chunks
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const dataLines = output.split("\n").filter(line => line.startsWith("data: "));
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const contents = dataLines.map(line => {
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if (line.includes("[DONE]")) return "";
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try {
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return JSON.parse(line.slice(6)).choices[0].delta.content || "";
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} catch {
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return "";
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}
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});
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const fullText = contents.join("");
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expect(fullText).toBe("Here is my answer. Yes, 42.");
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});
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it("handles empty content after stripping when hasReasoningContent is true", async () => {
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const executor = new KiroExecutor();
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const f0 = createMockFrame("reasoningContentEvent", { text: "I am reasoning" });
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const f1 = createMockFrame("assistantResponseEvent", { content: "<thinking>purely thinking...</thinking>" });
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const readableStream = new ReadableStream({
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start(controller) {
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controller.enqueue(f0);
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controller.enqueue(f1);
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controller.close();
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}
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});
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const mockResponse = { body: readableStream };
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const transformedResponse = executor.transformEventStreamToSSE(mockResponse, "claude-test");
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const output = await readAllSSE(transformedResponse.body);
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const dataLines = output.split("\n").filter(line => line.startsWith("data: ") && !line.includes("[DONE]"));
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const objects = dataLines.map(line => JSON.parse(line.slice(6)));
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// First chunk should have reasoning_content
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expect(objects[0].choices[0].delta.reasoning_content).toBe("I am reasoning");
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// We shouldn't get an empty content chunk from f1 since it was entirely stripped and reasoning was present
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const contentChunks = objects.filter(obj => obj.choices[0].delta.content !== undefined);
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expect(contentChunks.length).toBe(0);
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});
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it("emits a terminal chunk at messageStop before the upstream stream closes", async () => {
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const executor = new KiroExecutor();
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const f1 = createMockFrame("assistantResponseEvent", { content: "OK" });
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const f2 = createMockFrame("messageStopEvent", {});
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const readableStream = new ReadableStream({
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start(controller) {
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controller.enqueue(f1);
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controller.enqueue(f2);
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}
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});
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const transformedResponse = executor.transformEventStreamToSSE({ body: readableStream }, "claude-test");
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const reader = transformedResponse.body.getReader();
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const decoder = new TextDecoder();
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let output = "";
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for (let i = 0; i < 4 && !output.includes("\"finish_reason\":\"stop\""); i++) {
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const { value } = await readNextWithTimeout(reader);
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output += decoder.decode(value, { stream: true });
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}
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await reader.cancel();
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expect(output).toContain("\"finish_reason\":\"stop\"");
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});
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it("uses tool_calls finish reason for tool streams without messageStop", async () => {
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const executor = new KiroExecutor();
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const f1 = createMockFrame("toolUseEvent", { toolUseId: "tool-1", name: "read_file", input: { path: "a.txt" } });
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const readableStream = new ReadableStream({
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start(controller) {
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controller.enqueue(f1);
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controller.close();
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}
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});
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const transformedResponse = executor.transformEventStreamToSSE({ body: readableStream }, "claude-test");
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const output = await readAllSSE(transformedResponse.body);
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const objects = output
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.split("\n")
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.filter(line => line.startsWith("data: ") && !line.includes("[DONE]"))
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.map(line => JSON.parse(line.slice(6)));
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const finalChunk = objects.at(-1);
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expect(finalChunk.choices[0].finish_reason).toBe("tool_calls");
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});
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});
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