@nomyx/assistant
Version:
A powerful assistant library and cli for your AI projects. works with Vertex AI (Claude and Gemini)
153 lines (133 loc) • 6.03 kB
text/typescript
import axios from 'axios';
import { ChatMessage, ChatOptions, ProviderResponse } from '../../../types/chat';
import { Tool, ActionContext } from '../../../types/tool';
import { OpenAIConfig } from './config';
import { convertMessages, convertToolSchema, convertToolCalls } from './utils';
export async function* streamChat(config: OpenAIConfig, messages: ChatMessage[], options: ChatOptions, tools?: Tool[]): AsyncIterableIterator<ProviderResponse> {
const logger = config.getLogger();
try {
const requestBody: any = {
model: config.getModel(),
messages: convertMessages(messages, config.getModel()),
max_tokens: options.maxTokens,
temperature: options.temperature,
stream: true,
};
if (tools && tools.length > 0) {
requestBody.tools = tools
.map(tool => convertToolSchema(tool.getSchema()))
.map(schema => ({ type: 'function', function: schema }));
requestBody.tool_choice = 'auto';
}
console.log('Sending request to OpenAI API', {
model: requestBody.model,
messageCount: requestBody.messages.length,
maxTokens: requestBody.max_tokens,
temperature: requestBody.temperature,
toolCount: tools?.length
});
const response = await axios.post(
'https://api.openai.com/v1/chat/completions',
requestBody,
{
headers: {
'Authorization': `Bearer ${config.getApiKey()}`,
'Content-Type': 'application/json',
},
responseType: 'stream',
}
);
console.log('Received response from OpenAI API', { status: response.status });
let buffer = '';
let currentToolCall: any = null;
// Create a basic ActionContext
const actionContext: ActionContext = {
user: { id: 'default-user', name: 'Default User' },
session: { id: 'default-session', timestamp: new Date().toISOString() },
};
for await (const chunk of response.data) {
console.log('Received chunk', { chunkSize: chunk.length });
buffer += chunk.toString();
let newlineIndex;
while ((newlineIndex = buffer.indexOf('\n')) !== -1) {
const line = buffer.slice(0, newlineIndex).trim();
buffer = buffer.slice(newlineIndex + 1);
if (line === 'data: [DONE]') {
console.log('Received [DONE] signal');
return;
}
if (line.startsWith('data: ')) {
try {
const data = JSON.parse(line.slice(6));
const content = data.choices?.[0]?.delta?.content || '';
const toolCalls = data.choices?.[0]?.delta?.tool_calls;
console.log(content);
console.log(toolCalls);
if (content) {
yield { content, toolCalls: [], usage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 } };
}
if (toolCalls) {
for (const toolCall of toolCalls) {
if (!currentToolCall || toolCall.index === 0) {
currentToolCall = { ...toolCall, function: { ...toolCall.function } };
} else {
if (toolCall.function.name) {
currentToolCall.function.name = toolCall.function.name;
}
if (toolCall.function.arguments) {
currentToolCall.function.arguments = (currentToolCall.function.arguments || '') + toolCall.function.arguments;
}
}
}
process.stdout.write(data.choices[0].delta.content);
if (data.choices[0].finish_reason === 'tool_calls') {
try {
const fullToolCall = {
name: currentToolCall.function.name,
arguments: currentToolCall.function.arguments
};
console.log('Full tool call:', fullToolCall);
// Execute the tool
const tool = tools?.find(t => t.name === fullToolCall.name);
if (tool) {
const result = await tool.execute(fullToolCall.arguments, actionContext);
console.log('Tool execution result:', result);
yield { content: `Tool ${fullToolCall.name} executed. Result: ${JSON.stringify(result)}`, toolCalls: [fullToolCall], usage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 } };
} else {
console.error(`Tool ${fullToolCall.name} not found`);
yield { content: `Error: Tool ${fullToolCall.name} not found`, toolCalls: [fullToolCall], usage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 } };
}
currentToolCall = null;
} catch (parseError) {
// console.error('Error parsing or executing tool call:', parseError);
// console.error('Raw tool call arguments:', currentToolCall.function.arguments);
yield { content: `Error executing tool: ${parseError instanceof Error ? parseError.message : String(parseError)}`, toolCalls: [], usage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 } };
}
}
}
} catch (parseError) {
// console.error('Error parsing JSON from OpenAI API:', { line, error: parseError });
// Continue to the next line instead of throwing an error
continue;
}
}
}
}
} catch (error) {
handleError(config, error);
throw error;
}
}
function handleError(config: OpenAIConfig, error: any): void {
if (axios.isAxiosError(error)) {
console.error('OpenAIProvider: API request failed:', {
status: error.response?.status,
statusText: error.response?.statusText,
data: error.response?.data,
headers: error.response?.headers,
config: error.config
});
} else {
console.error('OpenAIProvider: Unexpected error:', error);
}
}