Files
rubber-duck-mcp/apps/eval/lib/ollama.ts
T

245 lines
7.2 KiB
TypeScript

interface OllamaConstructorOpts {
url?: string;
timeoutMs?: number;
idleTimeoutMs?: number | null;
maxTotalMs?: number | null;
}
interface PingResult {
ok: boolean;
models: string[];
}
export type OllamaToolCall = {
function: { name: string; arguments: string };
};
export type OllamaToolDefinition = {
type: "function";
function: {
name: string;
description: string;
parameters: {
type: "object";
properties?: Record<string, unknown>;
[key: string]: unknown;
};
};
};
export type OllamaMessage = {
role: string;
content: string;
tool_calls?: OllamaToolCall[];
};
export type OllamaChunk = {
token: string | null;
content: string;
type: "content" | "tool_calls";
toolCalls?: OllamaToolCall[];
};
export interface ChatStreamOpts {
model: string;
messages: OllamaMessage[];
tools?: unknown[];
temperature?: number;
numCtx?: number;
timeoutMs?: number;
maxTotalMs?: number;
onChunk?: ((chunk: OllamaChunk) => void) | null;
}
export interface OllamaChatResult {
role: "assistant";
content: string;
toolCalls: OllamaToolCall[];
promptEvalCount: number;
evalCount: number;
raw: { stream: boolean };
}
export interface OllamaError extends Error {
partialContent?: string;
partialToolCalls?: OllamaToolCall[];
partialPrompt?: number;
partialGen?: number;
}
const DEFAULT_URL = "http://localhost:11434";
export class Ollama {
private url: string;
private timeoutMs: number;
private idleTimeoutMs: number;
private maxTotalMs: number;
constructor({ url = DEFAULT_URL, timeoutMs = 600000, idleTimeoutMs = null, maxTotalMs = null }: OllamaConstructorOpts = {}) {
this.url = url.replace(/\/$/, "");
this.timeoutMs = timeoutMs;
this.idleTimeoutMs = idleTimeoutMs ?? timeoutMs;
this.maxTotalMs = maxTotalMs ?? 5 * 60_000;
}
async ping({ timeoutMs = 30000 } = {}): Promise<PingResult> {
if (process.env.OLLAMA_SKIP_PING === "1") return { ok: true, models: [process.env.OLLAMA_MODEL ?? ""] };
const res = await fetch(`${this.url}/api/tags`, { signal: AbortSignal.timeout(timeoutMs) });
if (!res.ok) throw new Error(`Ollama not reachable (HTTP ${res.status}) at ${this.url}`);
const data = await res.json() as { models?: Array<{ name: string }> };
const models = (data.models ?? []).map((m) => m.name);
return { ok: true, models };
}
async chatStream({
model,
messages,
tools,
temperature = 0,
numCtx = 8192,
timeoutMs,
maxTotalMs,
onChunk,
}: ChatStreamOpts): Promise<OllamaChatResult> {
const body: Record<string, unknown> = {
model,
messages,
stream: true,
options: { temperature },
};
if (numCtx) (body.options as Record<string, unknown>).num_ctx = numCtx;
if (tools && tools.length) body.tools = tools;
const limitMs = timeoutMs ?? this.idleTimeoutMs;
const totalCapMs = maxTotalMs ?? this.maxTotalMs;
const controller = new AbortController();
const startedAt = Date.now();
const res = await fetch(`${this.url}/api/chat`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(body),
signal: controller.signal,
});
if (!res.ok) {
const t = await res.text();
throw new Error(`Ollama chat HTTP ${res.status}: ${t.slice(0, 300)}`);
}
if (!res.body || !res.body.getReader) {
throw new Error("Ollama streaming response has no body reader");
}
const reader = res.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
let content = "";
let toolCalls: OllamaToolCall[] = [];
let promptEvalCount = 0;
let evalCount = 0;
let lastActivity = Date.now();
const guardInterval = setInterval(() => {
if (Date.now() - startedAt > totalCapMs) {
const err = new Error(`Request exceeded hard cap of ${totalCapMs}ms; aborting`) as OllamaError;
err.name = "TimeoutError";
controller.abort(err);
return;
}
if (Date.now() - lastActivity > limitMs) {
const err = new Error(`No progress from Ollama for ${limitMs}ms; aborting`) as OllamaError;
err.name = "TimeoutError";
controller.abort(err);
}
}, Math.min(500, Math.max(100, Math.floor(Math.min(limitMs, totalCapMs) / 4))));
try {
for (;;) {
let chunk: ReadableStreamReadResult<Uint8Array>;
try {
chunk = await reader.read();
} catch (readErr) {
const e = new Error(
`Aborted mid-stream after ${content.length} chars (toolCalls=${toolCalls.length}): ${(readErr as Error).message}`
) as OllamaError;
e.name = "TimeoutError";
e.partialContent = content;
e.partialToolCalls = toolCalls;
e.partialPrompt = promptEvalCount;
e.partialGen = evalCount;
throw e;
}
const { done, value } = chunk;
if (done) break;
lastActivity = Date.now();
buffer += decoder.decode(value, { stream: true });
let idx: number;
while ((idx = buffer.indexOf("\n")) !== -1) {
const line = buffer.slice(0, idx).trim();
buffer = buffer.slice(idx + 1);
if (!line) continue;
let obj: Record<string, unknown>;
try {
obj = JSON.parse(line);
} catch {
continue;
}
if (obj.prompt_eval_count != null) promptEvalCount = obj.prompt_eval_count as number;
if (obj.eval_count != null) evalCount = obj.eval_count as number;
const msg = (obj.message ?? {}) as Record<string, unknown>;
if (msg.content) {
content += msg.content as string;
onChunk?.({ token: msg.content as string, content, type: "content" });
}
if (msg.tool_calls && (msg.tool_calls as unknown[]).length) {
toolCalls = msg.tool_calls as OllamaToolCall[];
onChunk?.({ token: null, content, type: "tool_calls", toolCalls });
}
}
}
} finally {
clearInterval(guardInterval);
}
return {
role: "assistant",
content,
toolCalls: Array.isArray(toolCalls) ? toolCalls : [],
promptEvalCount,
evalCount,
raw: { stream: true },
};
}
async chat({ model, messages, tools, temperature = 0, numCtx = 8192, timeoutMs }: ChatStreamOpts): Promise<OllamaChatResult> {
return this.chatStream({
model,
messages,
tools,
temperature,
numCtx,
timeoutMs,
onChunk: null,
});
}
async warmup({ model, text = "say OK", timeoutMs = 60000 }: { model: string; text?: string; timeoutMs?: number }): Promise<Partial<OllamaChatResult> & { error?: string }> {
try {
return await this.chatStream({
model,
messages: [{ role: "user", content: text }],
timeoutMs,
});
} catch (err) {
return { error: (err as Error).message };
}
}
}
export async function listModels(): Promise<string[]> {
const o = new Ollama();
const res = await fetch(`${o["url"]}/api/tags`);
if (!res.ok) throw new Error(`Ollama not reachable (HTTP ${res.status})`);
const data = await res.json() as { models?: Array<{ name: string }> };
return (data.models ?? []).map((m) => m.name);
}