refactor: consolidate responsesApiHelper to delegate to main translator

This commit is contained in:
AveryanAlex
2026-03-29 00:09:54 +03:00
parent cfb390936a
commit a536a2b822
2 changed files with 40 additions and 101 deletions

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@@ -1,105 +1,9 @@
/**
* Convert OpenAI Responses API format to standard chat completions format
* Responses API uses: { input: [...], instructions: "..." }
* Chat API uses: { messages: [...] }
* Convert OpenAI Responses API format to standard chat completions format.
* Delegates to the canonical translator to avoid logic duplication.
*/
import { openaiResponsesToOpenAIRequest } from "../request/openai-responses.ts";
export function convertResponsesApiFormat(body) {
if (!body.input) return body;
const result = { ...body };
result.messages = [];
// Convert instructions to system message
if (body.instructions) {
result.messages.push({ role: "system", content: body.instructions });
}
// Group items by conversation turn
let currentAssistantMsg = null;
let pendingToolCalls = [];
let pendingToolResults = [];
for (const item of body.input) {
// Determine item type - Droid CLI sends role-based items without 'type' field
// Fallback: if no type but has role property, treat as message
const itemType = item.type || (item.role ? "message" : null);
if (itemType === "message") {
// Flush each pending assistant message with tool calls
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
currentAssistantMsg = null;
}
// Flush pending tool results
if (pendingToolResults.length > 0) {
for (const tr of pendingToolResults) {
result.messages.push(tr);
}
pendingToolResults = [];
}
// Convert content: input_text → text, output_text → text
const content = Array.isArray(item.content)
? item.content.map((c) => {
if (c.type === "input_text") return { type: "text", text: c.text };
if (c.type === "output_text") return { type: "text", text: c.text };
return c;
})
: item.content;
result.messages.push({ role: item.role, content });
} else if (itemType === "function_call") {
// Start or append to assistant message with tool_calls
if (!currentAssistantMsg) {
currentAssistantMsg = {
role: "assistant",
content: null,
tool_calls: [],
};
}
currentAssistantMsg.tool_calls.push({
id: item.call_id,
type: "function",
function: {
name: item.name,
arguments: item.arguments,
},
});
} else if (itemType === "function_call_output") {
// Flush assistant message first if exists
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
currentAssistantMsg = null;
}
// Add tool result
pendingToolResults.push({
role: "tool",
tool_call_id: item.call_id,
content: typeof item.output === "string" ? item.output : JSON.stringify(item.output),
});
} else if (itemType === "reasoning") {
// Skip reasoning items - they are for display only
continue;
}
}
// Flush remaining
if (currentAssistantMsg) {
result.messages.push(currentAssistantMsg);
}
if (pendingToolResults.length > 0) {
for (const tr of pendingToolResults) {
result.messages.push(tr);
}
}
// Cleanup Responses API specific fields
// Note: prompt_cache_key is intentionally preserved — it is used by Codex and other
// providers as a cache-affinity signal. Stripping it breaks prompt caching (#517).
delete result.input;
delete result.instructions;
delete result.include;
delete result.store;
delete result.reasoning;
return result;
return openaiResponsesToOpenAIRequest(null, body, null, null);
}

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@@ -0,0 +1,35 @@
import test from "node:test";
import assert from "node:assert/strict";
const { convertResponsesApiFormat } = await import(
"../../open-sse/translator/helpers/responsesApiHelper.ts"
);
test("convertResponsesApiFormat filters orphaned function_call_output items", () => {
const body = {
model: "gpt-4",
input: [
{
type: "function_call_output",
call_id: "orphaned_call",
output: "result",
},
],
};
const result = convertResponsesApiFormat(body);
const toolMsgs = result.messages.filter((m) => m.role === "tool");
assert.equal(toolMsgs.length, 0);
});
test("convertResponsesApiFormat skips function_call items with empty names", () => {
const body = {
model: "gpt-4",
input: [
{ type: "function_call", call_id: "c1", name: "", arguments: "{}" },
{ type: "function_call", call_id: "c2", name: " ", arguments: "{}" },
],
};
const result = convertResponsesApiFormat(body);
const assistantMsgs = result.messages.filter((m) => m.role === "assistant");
assert.equal(assistantMsgs.length, 0);
});