feat(opencode-go): add muse-spark-1.3-contributor and fix parallel tool calls on Responses paths (#3819)

- Add muse-spark-1.3-contributor as responses-only model on OpenCode Go with dedicated executor
- Key Responses→chat streaming tool calls by item_id to prevent parallel tool calls merging into index 0
- Standardize tool coercions and call_id clamping in Responses API translation
This commit is contained in:
Sina Sadeghi
2026-09-05 21:49:00 +07:00
parent 77e6a227fe
commit e74db4d0a6
9 changed files with 541 additions and 24 deletions

View File

@@ -6,12 +6,15 @@
*/
import { register } from "../index.js";
import { FORMATS } from "../formats.js";
import { normalizeResponsesInput } from "../formats/responsesApi.js";
import {
normalizeResponsesInput,
clampResponsesCallId,
coerceResponsesArguments,
coerceResponsesOutput,
} from "../formats/responsesApi.js";
import { ROLE, OPENAI_BLOCK, RESPONSES_ITEM } from "../schema/index.js";
// Responses API enforces max 64 chars on call_id (#393)
const MAX_CALL_ID_LEN = 64;
const clampCallId = (id) => (typeof id === "string" && id.length > MAX_CALL_ID_LEN ? id.substring(0, MAX_CALL_ID_LEN) : id);
const MAX_TOOL_NAME_LEN = 128;
/**
* Convert OpenAI Responses API request to OpenAI Chat Completions format
@@ -249,6 +252,23 @@ export function openaiResponsesToOpenAIRequest(model, body, stream, credentials)
return result;
}
/**
* Extract plain text from a system/developer message for Responses instructions.
* Array content (text parts) is joined; anything else falls back to "" rather
* than leaking "[object Object]" upstream.
*/
function extractInstructionsText(content) {
if (typeof content === "string") return content;
if (Array.isArray(content)) {
return content.map((c) => {
if (typeof c?.text === "string") return c.text;
if (typeof c?.content === "string") return c.content;
return "";
}).filter(Boolean).join("\n");
}
return "";
}
/**
* Ensure object schema always has properties field (required by Codex Responses API)
*/
@@ -327,7 +347,7 @@ export function openaiToOpenAIResponsesRequest(model, body, stream, credentials)
// Use the first instruction-bearing message as instructions.
// OpenAI recommends role="developer" for GPT-5/Codex as the system-level prompt.
if (!hasSystemMessage) {
result.instructions = typeof msg.content === "string" ? msg.content : "";
result.instructions = extractInstructionsText(msg.content);
hasSystemMessage = true;
}
continue; // Skip instruction messages in input
@@ -378,26 +398,24 @@ export function openaiToOpenAIResponsesRequest(model, body, stream, credentials)
// Convert tool calls
if (msg.role === ROLE.ASSISTANT && msg.tool_calls) {
for (const tc of msg.tool_calls) {
// Skip nameless calls — strict Responses upstreams reject them (#444)
const name = typeof tc.function?.name === "string" ? tc.function.name.trim() : "";
if (!name) continue;
result.input.push({
type: RESPONSES_ITEM.FUNCTION_CALL,
call_id: clampCallId(tc.id),
name: tc.function?.name || "_unknown",
arguments: tc.function?.arguments || "{}"
call_id: clampResponsesCallId(tc.id),
name: name.slice(0, MAX_TOOL_NAME_LEN),
arguments: coerceResponsesArguments(tc.function?.arguments)
});
}
}
// Convert tool results - output must be a string for Responses API
if (msg.role === ROLE.TOOL) {
const output = typeof msg.content === "string"
? msg.content
: Array.isArray(msg.content)
? msg.content.map(c => c.text || JSON.stringify(c)).join("")
: JSON.stringify(msg.content);
result.input.push({
type: RESPONSES_ITEM.FUNCTION_CALL_OUTPUT,
call_id: clampCallId(msg.tool_call_id),
output
call_id: clampResponsesCallId(msg.tool_call_id),
output: coerceResponsesOutput(msg.content)
});
}
}
@@ -411,16 +429,19 @@ export function openaiToOpenAIResponsesRequest(model, body, stream, credentials)
if (body.tools && Array.isArray(body.tools)) {
result.tools = body.tools.map(tool => {
if (tool.type === OPENAI_BLOCK.FUNCTION) {
// Strict upstreams reject nameless/overlong tool declarations
const name = typeof tool.function?.name === "string" ? tool.function.name.trim() : "";
if (!name) return null;
return {
type: OPENAI_BLOCK.FUNCTION,
name: tool.function.name,
name: name.slice(0, MAX_TOOL_NAME_LEN),
description: String(tool.function.description || ""),
parameters: normalizeToolParameters(tool.function.parameters),
strict: tool.function.strict
};
}
return tool;
});
}).filter(Boolean);
}
// Pass through other relevant fields