Files
AgentCompany/src/main/services/provider-tool-turns/responses-format.ts
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ZacharyZhang-NY 07d0b4587d Promote AgentCompany-New to the repository root and retire the old app
The legacy application - its src, tests, landing site, promo assets, docs,
release tooling, CI workflows, and root configs - leaves the tree; it stays
reachable in history. Everything under AgentCompany-New moves up unchanged:
same package name, so the production userData/database path is untouched,
and e2e/build scripts already resolved paths relative to the project. The
developer cred.txt stays gitignored at its new location. Full verify:ci
passes from the new root.
2026-07-07 00:04:13 -04:00

111 lines
5.0 KiB
TypeScript

/**
* OpenAI Responses API encoding/decoding, shared by the openai, gpt-account
* (Codex) and github-copilot turns. Matches Pi's `convertResponsesMessages` /
* `convertResponsesTools` and the Responses streaming event shapes.
*/
import { isRecord, type JsonRecord, type ProviderEventStreamMessage } from "../provider-http";
import { parseArguments, type AgentTurnMessage, type AgentTurnResult, type ToolCall, type ToolDefinition } from "../provider-tool-turn";
export function responsesToolDefs(tools: ToolDefinition[], strict: boolean | null = false): unknown[] {
// `strict` must be a boolean or omitted. Passing `strict: null` (the Codex
// path) is malformed and makes the endpoint drop the whole tool list, so the
// model has nothing to call. Omit the field instead of sending null.
return tools.map((tool) => ({
type: "function",
name: tool.name,
description: tool.description,
parameters: tool.parameters,
...(strict === null ? {} : { strict }),
}));
}
export function toResponsesInput(messages: AgentTurnMessage[]): unknown[] {
const items: unknown[] = [];
for (const message of messages) {
if (message.role === "user") {
items.push({ role: "user", content: [{ type: "input_text", text: message.text }] });
} else if (message.role === "assistant") {
if (message.text) {
items.push({ type: "message", role: "assistant", content: [{ type: "output_text", text: message.text, annotations: [] }] });
}
for (const call of message.toolCalls) {
items.push({ type: "function_call", call_id: call.id, name: call.name, arguments: JSON.stringify(call.arguments) });
}
} else {
for (const result of message.results) {
items.push({ type: "function_call_output", call_id: result.toolCallId, output: result.output });
}
}
}
return items;
}
/** Parse a non-streaming Responses payload (`data.output[]`). */
export function parseResponsesOutput(data: JsonRecord): { text: string; toolCalls: ToolCall[] } {
const output = Array.isArray(data.output) ? data.output : [];
const textParts: string[] = [];
const toolCalls: ToolCall[] = [];
for (const item of output) {
if (!isRecord(item)) continue;
if (item.type === "function_call") {
const id = typeof item.call_id === "string" ? item.call_id : typeof item.id === "string" ? item.id : "";
const name = typeof item.name === "string" ? item.name : "";
if (id && name) toolCalls.push({ id, name, arguments: parseArguments(item.arguments) });
} else if (item.type === "message" && Array.isArray(item.content)) {
for (const block of item.content) {
if (isRecord(block) && block.type === "output_text" && typeof block.text === "string") textParts.push(block.text);
}
}
}
return { text: textParts.join("\n").trim(), toolCalls };
}
function eventType(message: ProviderEventStreamMessage): string | null {
const type = message.data.type;
return typeof type === "string" ? type : message.eventName;
}
function errorText(data: JsonRecord): string {
const error = data.error;
if (typeof error === "string") return error;
if (isRecord(error) && typeof error.message === "string") return error.message;
if (typeof data.message === "string") return data.message;
return "Provider stream failed.";
}
/**
* Accumulate a Responses SSE stream (Codex/Copilot) into the final result.
*
* The ChatGPT/Codex backend streams each output item in a
* `response.output_item.done` event and then sends a `response.completed`
* whose `response.output` is EMPTY. Reading only the completion event there
* loses every tool call (the model acted, but the turn parses as empty). So
* collect items as they finish and fall back to them when the completion
* carries no output of its own.
*/
export async function accumulateResponsesStream(messages: AsyncIterable<ProviderEventStreamMessage>): Promise<AgentTurnResult> {
const raw: string[] = [];
const streamed: unknown[] = [];
for await (const message of messages) {
raw.push(message.rawData);
const type = eventType(message);
if (!type) continue;
if (type === "error" || type === "response.failed") throw new Error(errorText(message.data));
if (type === "response.output_item.done" && isRecord(message.data.item)) {
streamed.push(message.data.item);
}
if (type === "response.completed" || type === "response.done" || type === "response.incomplete") {
const response = isRecord(message.data.response) ? message.data.response : null;
const completionOutput = response && Array.isArray(response.output) ? response.output : [];
const output = completionOutput.length > 0 ? completionOutput : streamed;
const parsed = parseResponsesOutput({ output });
return { text: parsed.text, toolCalls: parsed.toolCalls, rawResponseJson: JSON.stringify(raw) };
}
}
if (streamed.length > 0) {
const parsed = parseResponsesOutput({ output: streamed });
return { text: parsed.text, toolCalls: parsed.toolCalls, rawResponseJson: JSON.stringify(raw) };
}
throw new Error("Responses stream ended before a completion event.");
}