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import { logger } from "../../logger";
import type { MessageUpdate } from "$lib/types/MessageUpdate";
import { MessageToolUpdateType, MessageUpdateType } from "$lib/types/MessageUpdate";
import { ToolResultStatus } from "$lib/types/Tool";
import type { ChatCompletionMessageParam } from "openai/resources/chat/completions";
import type { McpToolMapping } from "$lib/server/mcp/tools";
import type { McpServerConfig } from "$lib/server/mcp/httpClient";
import {
callMcpTool,
getMcpToolTimeoutMs,
type McpToolTextResponse,
} from "$lib/server/mcp/httpClient";
import { getClient } from "$lib/server/mcp/clientPool";
import { attachFileRefsToArgs, type FileRefResolver } from "./fileRefs";
import type { Client } from "@modelcontextprotocol/sdk/client";
import type { LangfuseGenerationClient } from "$lib/server/tracing/langfuse";
export type Primitive = string | number | boolean;
export type ToolRun = {
name: string;
parameters: Record<string, Primitive>;
output: string;
};
export interface NormalizedToolCall {
id: string;
name: string;
arguments: string;
}
export interface ExecuteToolCallsParams {
calls: NormalizedToolCall[];
mapping: Record<string, McpToolMapping>;
servers: McpServerConfig[];
parseArgs: (raw: unknown) => Record<string, unknown>;
resolveFileRef?: FileRefResolver;
toPrimitive: (value: unknown) => Primitive | undefined;
processToolOutput: (text: string) => {
annotated: string;
sources: { index: number; link: string }[];
};
abortSignal?: AbortSignal;
toolTimeoutMs?: number;
/** Active Langfuse generation to nest per-tool-call child spans under. */
langfuseSpan?: LangfuseGenerationClient;
}
export interface ToolCallExecutionResult {
toolMessages: ChatCompletionMessageParam[];
toolRuns: ToolRun[];
finalAnswer?: { text: string; interrupted: boolean };
}
export type ToolExecutionEvent =
| { type: "update"; update: MessageUpdate }
| { type: "complete"; summary: ToolCallExecutionResult };
const serverMap = (servers: McpServerConfig[]): Map<string, McpServerConfig> => {
const map = new Map<string, McpServerConfig>();
for (const server of servers) {
if (server?.name) {
map.set(server.name, server);
}
}
return map;
};
export async function* executeToolCalls({
calls,
mapping,
servers,
parseArgs,
resolveFileRef,
toPrimitive,
processToolOutput,
abortSignal,
toolTimeoutMs,
langfuseSpan,
}: ExecuteToolCallsParams): AsyncGenerator<ToolExecutionEvent, void, undefined> {
const effectiveTimeoutMs = toolTimeoutMs ?? getMcpToolTimeoutMs();
const toolMessages: ChatCompletionMessageParam[] = [];
const toolRuns: ToolRun[] = [];
const serverLookup = serverMap(servers);
// Pre-emit call + ETA updates and prepare tasks
type TaskResult = {
index: number;
output?: string;
structured?: unknown;
blocks?: unknown[];
error?: string;
uuid: string;
paramsClean: Record<string, Primitive>;
};
const prepared = calls.map((call) => {
const argsObj = parseArgs(call.arguments);
const paramsClean: Record<string, Primitive> = {};
for (const [k, v] of Object.entries(argsObj ?? {})) {
const prim = toPrimitive(v);
if (prim !== undefined) paramsClean[k] = prim;
}
// Attach any resolved image payloads _after_ computing paramsClean so that
// logging / status updates continue to show only the lightweight primitive
// arguments (e.g. "image_1") while the full data: URLs or image blobs are
// only sent to the MCP tool server.
attachFileRefsToArgs(argsObj, resolveFileRef);
return { call, argsObj, paramsClean, uuid: randomUUID() };
});
for (const p of prepared) {
yield {
type: "update",
update: {
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Call,
uuid: p.uuid,
call: { name: p.call.name, parameters: p.paramsClean },
},
};
yield {
type: "update",
update: {
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.ETA,
uuid: p.uuid,
eta: 10,
},
};
}
// Preload clients per distinct server used in this batch
const distinctServerNames = Array.from(
new Set(prepared.map((p) => mapping[p.call.name]?.server).filter(Boolean) as string[])
);
const clientMap = new Map<string, Client>();
await Promise.all(
distinctServerNames.map(async (name) => {
const cfg = serverLookup.get(name);
if (!cfg) return;
try {
const client = await getClient(cfg, abortSignal);
clientMap.set(name, client);
} catch (e) {
logger.warn({ server: name, err: String(e) }, "[mcp] failed to connect client");
}
})
);
// Async queue to stream results in finish order
function createQueue<T>() {
const items: T[] = [];
const waiters: Array<(v: IteratorResult<T>) => void> = [];
let closed = false;
return {
push(item: T) {
const waiter = waiters.shift();
if (waiter) waiter({ value: item, done: false });
else items.push(item);
},
close() {
closed = true;
let waiter: ((v: IteratorResult<T>) => void) | undefined;
while ((waiter = waiters.shift())) {
waiter({ value: undefined as unknown as T, done: true });
}
},
async *iterator() {
for (;;) {
if (items.length) {
const first = items.shift();
if (first !== undefined) yield first as T;
continue;
}
if (closed) return;
const value: IteratorResult<T> = await new Promise((res) => waiters.push(res));
if (value.done) return;
yield value.value as T;
}
},
};
}
const updatesQueue = createQueue<MessageUpdate>();
const results: TaskResult[] = [];
const tasks = prepared.map(async (p, index) => {
// Check abort before starting each tool call
if (abortSignal?.aborted) {
const message = "Aborted by user";
results.push({
index,
error: message,
uuid: p.uuid,
paramsClean: p.paramsClean,
});
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Error,
uuid: p.uuid,
message,
});
return;
}
const mappingEntry = mapping[p.call.name];
if (!mappingEntry) {
const message = `Unknown MCP function: ${p.call.name}`;
results.push({
index,
error: message,
uuid: p.uuid,
paramsClean: p.paramsClean,
});
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Error,
uuid: p.uuid,
message,
});
return;
}
const serverCfg = serverLookup.get(mappingEntry.server);
if (!serverCfg) {
const message = `Unknown MCP server: ${mappingEntry.server}`;
results.push({
index,
error: message,
uuid: p.uuid,
paramsClean: p.paramsClean,
});
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Error,
uuid: p.uuid,
message,
});
return;
}
const client = clientMap.get(mappingEntry.server);
// Open a Langfuse span for this individual tool call
const toolSpan = (() => {
try {
return langfuseSpan?.span({
name: `tool-call-${p.call.name}`,
input: { name: p.call.name, parameters: p.paramsClean },
metadata: { server: mappingEntry.server, tool: mappingEntry.tool },
});
} catch {
return undefined;
}
})();
try {
logger.debug(
{ server: mappingEntry.server, tool: mappingEntry.tool, parameters: p.paramsClean },
"[mcp] invoking tool"
);
const toolResponse: McpToolTextResponse = await callMcpTool(
serverCfg,
mappingEntry.tool,
p.argsObj,
{
client,
signal: abortSignal,
timeoutMs: effectiveTimeoutMs,
onProgress: (progress) => {
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Progress,
uuid: p.uuid,
progress: progress.progress,
total: progress.total,
message: progress.message,
});
},
}
);
const { annotated } = processToolOutput(toolResponse.text ?? "");
logger.debug(
{ server: mappingEntry.server, tool: mappingEntry.tool },
"[mcp] tool call completed"
);
try {
toolSpan?.end({ output: { result: annotated } });
} catch {}
results.push({
index,
output: annotated,
structured: toolResponse.structured,
blocks: toolResponse.content,
uuid: p.uuid,
paramsClean: p.paramsClean,
});
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Result,
uuid: p.uuid,
result: {
status: ToolResultStatus.Success,
call: { name: p.call.name, parameters: p.paramsClean },
outputs: [
{
text: annotated ?? "",
structured: toolResponse.structured,
content: toolResponse.content,
} as unknown as Record<string, unknown>,
],
display: true,
},
});
} catch (err) {
const errMsg = err instanceof Error ? err.message : String(err);
const errName = err instanceof Error ? err.name : "";
const isAbortError =
abortSignal?.aborted ||
errName === "AbortError" ||
errName === "APIUserAbortError" ||
errMsg === "Request was aborted." ||
errMsg === "This operation was aborted";
const message = isAbortError ? "Aborted by user" : errMsg;
if (isAbortError) {
logger.debug(
{ server: mappingEntry.server, tool: mappingEntry.tool },
"[mcp] tool call aborted by user"
);
} else {
logger.warn(
{ server: mappingEntry.server, tool: mappingEntry.tool, err: message },
"[mcp] tool call failed"
);
}
try {
toolSpan?.end({
output: { error: message },
level: isAbortError ? "WARNING" : "ERROR",
statusMessage: message,
});
} catch {}
results.push({ index, error: message, uuid: p.uuid, paramsClean: p.paramsClean });
updatesQueue.push({
type: MessageUpdateType.Tool,
subtype: MessageToolUpdateType.Error,
uuid: p.uuid,
message,
});
}
});
// kick off and stream as they finish
Promise.allSettled(tasks).then(() => updatesQueue.close());
for await (const update of updatesQueue.iterator()) {
yield { type: "update", update };
}
// Collate outputs in original call order
results.sort((a, b) => a.index - b.index);
for (const r of results) {
const name = prepared[r.index].call.name;
const id = prepared[r.index].call.id;
if (!r.error) {
const output = r.output ?? "";
toolRuns.push({ name, parameters: r.paramsClean, output });
// For the LLM follow-up call, we keep only the textual output
toolMessages.push({ role: "tool", tool_call_id: id, content: output });
} else {
// Communicate error to LLM so it doesn't hallucinate success
toolMessages.push({ role: "tool", tool_call_id: id, content: `Error: ${r.error}` });
}
}
yield { type: "complete", summary: { toolMessages, toolRuns } };
}
|