Files
flynn/src/models/local/llamacpp.ts
T
2026-02-05 13:17:56 -08:00

172 lines
4.6 KiB
TypeScript

import type { ChatRequest, ChatResponse, ChatStreamEvent, ModelClient } from '../types.js';
export interface LlamaCppClientConfig {
endpoint: string;
authToken?: string;
}
interface LlamaCppMessage {
role: 'system' | 'user' | 'assistant';
content: string;
}
interface LlamaCppResponse {
choices: Array<{ message: { content: string } }>;
usage: { prompt_tokens: number; completion_tokens: number };
}
interface LlamaCppStreamChunk {
choices: Array<{ delta?: { content?: string } }>;
usage?: { prompt_tokens: number; completion_tokens: number };
}
export class LlamaCppClient implements ModelClient {
private endpoint: string;
private authToken?: string;
constructor(config: LlamaCppClientConfig) {
this.endpoint = config.endpoint.replace(/\/$/, '');
this.authToken = config.authToken;
}
async chat(request: ChatRequest): Promise<ChatResponse> {
const messages: LlamaCppMessage[] = [];
if (request.system) {
messages.push({ role: 'system', content: request.system });
}
for (const msg of request.messages) {
messages.push({ role: msg.role, content: msg.content });
}
const headers: Record<string, string> = {
'Content-Type': 'application/json',
};
if (this.authToken) {
headers['Authorization'] = `Bearer ${this.authToken}`;
}
let response: Response;
try {
response = await fetch(`${this.endpoint}/v1/chat/completions`, {
method: 'POST',
headers,
body: JSON.stringify({
messages,
max_tokens: request.maxTokens ?? 2048,
}),
});
} catch (error) {
if (error instanceof TypeError && error.message.includes('fetch failed')) {
throw new Error(`llama-server not running at ${this.endpoint}`);
}
throw error;
}
if (!response.ok) {
const text = await response.text();
throw new Error(`llama-server error (${response.status}): ${text}`);
}
const data = (await response.json()) as LlamaCppResponse;
return {
content: data.choices[0]?.message?.content ?? '',
stopReason: 'stop',
usage: {
inputTokens: data.usage?.prompt_tokens ?? 0,
outputTokens: data.usage?.completion_tokens ?? 0,
},
};
}
async *chatStream(request: ChatRequest): AsyncIterable<ChatStreamEvent> {
const messages: LlamaCppMessage[] = [];
if (request.system) {
messages.push({ role: 'system', content: request.system });
}
for (const msg of request.messages) {
messages.push({ role: msg.role, content: msg.content });
}
const headers: Record<string, string> = {
'Content-Type': 'application/json',
};
if (this.authToken) {
headers['Authorization'] = `Bearer ${this.authToken}`;
}
try {
const response = await fetch(`${this.endpoint}/v1/chat/completions`, {
method: 'POST',
headers,
body: JSON.stringify({
messages,
max_tokens: request.maxTokens ?? 2048,
stream: true,
}),
});
if (!response.ok) {
const text = await response.text();
throw new Error(`llama-server error (${response.status}): ${text}`);
}
if (!response.body) {
throw new Error('No response body for streaming');
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let usage = { inputTokens: 0, outputTokens: 0 };
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\n');
buffer = lines.pop() ?? '';
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed || !trimmed.startsWith('data: ')) continue;
const data = trimmed.slice(6);
if (data === '[DONE]') continue;
try {
const chunk = JSON.parse(data) as LlamaCppStreamChunk;
if (chunk.choices[0]?.delta?.content) {
yield { type: 'content', content: chunk.choices[0].delta.content };
}
if (chunk.usage) {
usage = {
inputTokens: chunk.usage.prompt_tokens,
outputTokens: chunk.usage.completion_tokens,
};
}
} catch {
// Skip malformed JSON
}
}
}
yield { type: 'done', usage };
} catch (error) {
yield {
type: 'error',
error: error instanceof Error ? error : new Error(String(error)),
};
}
}
}