295 lines
10 KiB
TypeScript
295 lines
10 KiB
TypeScript
describe("OpenAI Adapter - Allowlist Approach", () => {
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it("should filter out tool_result messages with no corresponding tool_call ID", () => {
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// Setup test data
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const validToolCallIds = new Set<string>(["valid-id-1", "valid-id-2"]);
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// Messages to filter - valid and invalid ones
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const messages = [
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{ type: "text", role: "user", content: "Hello" },
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{
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type: "tool_result",
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actionExecutionId: "valid-id-1",
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result: "result1",
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},
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{
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type: "tool_result",
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actionExecutionId: "invalid-id",
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result: "invalid",
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},
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{
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type: "tool_result",
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actionExecutionId: "valid-id-2",
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result: "result2",
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},
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{
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type: "tool_result",
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actionExecutionId: "valid-id-1",
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result: "duplicate",
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}, // Duplicate ID
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];
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// Implement the filtering logic, similar to the adapter
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const filteredMessages = messages.filter((message) => {
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if (message.type === "tool_result") {
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// Skip if there's no corresponding tool_call
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if (!validToolCallIds.has(message.actionExecutionId)) {
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return false;
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}
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// Remove this ID from valid IDs so we don't process duplicates
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validToolCallIds.delete(message.actionExecutionId);
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}
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// Keep all non-tool-result messages
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return true;
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});
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// Verify results
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expect(filteredMessages.length).toBe(3); // text + 2 valid tool results (no duplicates or invalid)
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// Valid results should be included
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expect(
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filteredMessages.some(
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(m) => m.type === "tool_result" && m.actionExecutionId === "valid-id-1",
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),
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).toBe(true);
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expect(
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filteredMessages.some(
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(m) => m.type === "tool_result" && m.actionExecutionId === "valid-id-2",
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),
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).toBe(true);
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// Invalid result should be excluded
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expect(
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filteredMessages.some(
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(m) => m.type === "tool_result" && m.actionExecutionId === "invalid-id",
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),
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).toBe(false);
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// Duplicate should be excluded - we used a different approach than Anthropic
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const validId1Count = filteredMessages.filter(
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(m) => m.type === "tool_result" && m.actionExecutionId === "valid-id-1",
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).length;
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expect(validId1Count).toBe(1);
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});
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it("should maintain correct order of messages when filtering", () => {
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// Setup test data
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const validToolCallIds = new Set<string>(["tool-1", "tool-2", "tool-3"]);
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// Test with a complex conversation pattern
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const messages = [
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{ type: "text", role: "user", content: "Initial message" },
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{ type: "text", role: "assistant", content: "I'll help with that" },
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{ type: "tool_call", id: "tool-1", name: "firstTool" },
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{ type: "tool_result", actionExecutionId: "tool-1", result: "result1" },
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{ type: "text", role: "assistant", content: "Got the first result" },
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{ type: "tool_call", id: "tool-2", name: "secondTool" },
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{ type: "tool_result", actionExecutionId: "tool-2", result: "result2" },
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{
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type: "tool_result",
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actionExecutionId: "invalid-id",
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result: "invalid-result",
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},
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{ type: "tool_call", id: "tool-3", name: "thirdTool" },
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{
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type: "tool_result",
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actionExecutionId: "tool-1",
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result: "duplicate-result",
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}, // Duplicate
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{ type: "tool_result", actionExecutionId: "tool-3", result: "result3" },
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{ type: "text", role: "user", content: "Final message" },
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];
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// Apply OpenAI's filter approach (using filter instead of loop)
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const filteredMessages = messages.filter((message) => {
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if (message.type === "tool_result") {
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// Skip if there's no corresponding tool_call
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if (!validToolCallIds.has(message.actionExecutionId)) {
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return false;
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}
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// Remove this ID from valid IDs so we don't process duplicates
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validToolCallIds.delete(message.actionExecutionId);
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}
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// Keep all non-tool-result messages
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return true;
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});
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// Verify results
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expect(filteredMessages.length).toBe(10); // 12 original - 2 filtered out
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// Check that the message order is preserved
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expect(filteredMessages[0].type).toBe("text"); // Initial user message
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expect(filteredMessages[0].content).toBe("Initial message");
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expect(filteredMessages[1].type).toBe("text"); // Assistant response
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expect(filteredMessages[2].type).toBe("tool_call"); // First tool
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expect(filteredMessages[3].type).toBe("tool_result"); // First result
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expect(filteredMessages[3].actionExecutionId).toBe("tool-1");
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expect(filteredMessages[4].type).toBe("text"); // Assistant comment
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expect(filteredMessages[5].type).toBe("tool_call"); // Second tool
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expect(filteredMessages[6].type).toBe("tool_result"); // Second result
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expect(filteredMessages[6].actionExecutionId).toBe("tool-2");
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expect(filteredMessages[7].type).toBe("tool_call"); // Third tool
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expect(filteredMessages[8].type).toBe("tool_result"); // Third result
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expect(filteredMessages[8].actionExecutionId).toBe("tool-3");
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expect(filteredMessages[9].type).toBe("text"); // Final user message
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// Each valid tool result should appear exactly once
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const toolResultCounts = new Map();
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filteredMessages.forEach((message) => {
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if (message.type === "tool_result") {
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const id = message.actionExecutionId;
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toolResultCounts.set(id, (toolResultCounts.get(id) || 0) + 1);
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}
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});
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expect(toolResultCounts.size).toBe(3); // Should have 3 different tool results
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expect(toolResultCounts.get("tool-1")).toBe(1);
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expect(toolResultCounts.get("tool-2")).toBe(1);
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expect(toolResultCounts.get("tool-3")).toBe(1);
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expect(toolResultCounts.has("invalid-id")).toBe(false);
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});
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it("should handle empty message array", () => {
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const validToolCallIds = new Set<string>(["valid-id-1", "valid-id-2"]);
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const messages = [];
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// Apply OpenAI's filter approach
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const filteredMessages = messages.filter((message) => {
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if (message.type === "tool_result") {
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if (!validToolCallIds.has(message.actionExecutionId)) {
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return false;
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}
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validToolCallIds.delete(message.actionExecutionId);
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}
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return true;
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});
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expect(filteredMessages.length).toBe(0);
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});
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it("should handle edge cases with mixed message types", () => {
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// Setup test data with various message types
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const validToolCallIds = new Set<string>(["valid-id-1"]);
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const messages = [
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{ type: "text", role: "user", content: "Hello" },
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{ type: "image", url: "https://example.com/image.jpg" }, // Non-tool message type
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{
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type: "tool_result",
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actionExecutionId: "valid-id-1",
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result: "result1",
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},
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{ type: "custom", data: { key: "value" } }, // Another custom type
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{
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type: "tool_result",
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actionExecutionId: "valid-id-1",
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result: "duplicate",
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}, // Duplicate
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{ type: "null", value: null }, // Edge case
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{ type: "undefined" }, // Edge case
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];
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// Apply OpenAI's filter approach
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const filteredMessages = messages.filter((message) => {
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if (message.type === "tool_result") {
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if (!validToolCallIds.has(message.actionExecutionId)) {
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return false;
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}
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validToolCallIds.delete(message.actionExecutionId);
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}
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return true;
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});
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// Should have all non-tool_result messages + 1 valid tool_result
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expect(filteredMessages.length).toBe(6); // 7 original - 1 duplicate
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// Valid tool_result should be included exactly once
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const toolResults = filteredMessages.filter(
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(m) => m.type === "tool_result",
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);
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expect(toolResults.length).toBe(1);
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expect(toolResults[0].actionExecutionId).toBe("valid-id-1");
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// All non-tool_result messages should be preserved
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expect(filteredMessages.filter((m) => m.type === "text").length).toBe(1);
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expect(filteredMessages.filter((m) => m.type === "image").length).toBe(1);
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expect(filteredMessages.filter((m) => m.type === "custom").length).toBe(1);
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expect(filteredMessages.filter((m) => m.type === "null").length).toBe(1);
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expect(filteredMessages.filter((m) => m.type === "undefined").length).toBe(
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1,
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);
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});
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it("should properly handle multiple duplicate tool results", () => {
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// Setup test data with multiple duplicates
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const validToolCallIds = new Set<string>(["tool-1", "tool-2"]);
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const messages = [
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{ type: "text", role: "user", content: "Initial prompt" },
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{ type: "tool_call", id: "tool-1", name: "firstTool" },
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{
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type: "tool_result",
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actionExecutionId: "tool-1",
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result: "first-result",
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},
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{
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type: "tool_result",
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actionExecutionId: "tool-1",
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result: "duplicate-1",
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}, // Duplicate 1
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{ type: "tool_call", id: "tool-2", name: "secondTool" },
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{
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type: "tool_result",
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actionExecutionId: "tool-1",
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result: "duplicate-2",
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}, // Duplicate 2
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{
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type: "tool_result",
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actionExecutionId: "tool-2",
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result: "second-result",
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},
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{
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type: "tool_result",
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actionExecutionId: "tool-2",
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result: "duplicate-3",
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}, // Duplicate 3
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{
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type: "tool_result",
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actionExecutionId: "tool-1",
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result: "duplicate-4",
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}, // Duplicate 4
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];
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// Apply OpenAI's filter approach
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const filteredMessages = messages.filter((message) => {
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if (message.type === "tool_result") {
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if (!validToolCallIds.has(message.actionExecutionId)) {
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return false;
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}
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validToolCallIds.delete(message.actionExecutionId);
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}
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return true;
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});
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// Should have text + tool calls + only the first occurrence of each tool result
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expect(filteredMessages.length).toBe(5);
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// Check that only the first occurrence of each tool result is kept
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const toolResults = filteredMessages.filter(
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(m) => m.type === "tool_result",
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);
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expect(toolResults.length).toBe(2);
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expect(toolResults[0].actionExecutionId).toBe("tool-1");
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expect(toolResults[0].result).toBe("first-result"); // First occurrence should be kept
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expect(toolResults[1].actionExecutionId).toBe("tool-2");
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expect(toolResults[1].result).toBe("second-result"); // First occurrence should be kept
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});
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});
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