fix: Continue on fail / error output support for chains and agents (#9078)

This commit is contained in:
Michael Kret
2024-04-09 15:06:12 +03:00
committed by GitHub
parent 8c2622549b
commit f62800cd72
9 changed files with 469 additions and 388 deletions

View File

@@ -320,67 +320,76 @@ export class OpenAiAssistant implements INodeType {
const returnData: INodeExecutionData[] = [];
for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
const input = this.getNodeParameter('text', itemIndex) as string;
const assistantId = this.getNodeParameter('assistantId', itemIndex, '') as string;
const nativeTools = this.getNodeParameter('nativeTools', itemIndex, []) as Array<
'code_interpreter' | 'retrieval'
>;
try {
const input = this.getNodeParameter('text', itemIndex) as string;
const assistantId = this.getNodeParameter('assistantId', itemIndex, '') as string;
const nativeTools = this.getNodeParameter('nativeTools', itemIndex, []) as Array<
'code_interpreter' | 'retrieval'
>;
const options = this.getNodeParameter('options', itemIndex, {}) as {
baseURL?: string;
maxRetries: number;
timeout: number;
};
const options = this.getNodeParameter('options', itemIndex, {}) as {
baseURL?: string;
maxRetries: number;
timeout: number;
};
if (input === undefined) {
throw new NodeOperationError(this.getNode(), 'The text parameter is empty.');
}
if (input === undefined) {
throw new NodeOperationError(this.getNode(), 'The text parameter is empty.');
}
const client = new OpenAIClient({
apiKey: credentials.apiKey as string,
maxRetries: options.maxRetries ?? 2,
timeout: options.timeout ?? 10000,
baseURL: options.baseURL,
});
let agent;
const nativeToolsParsed: OpenAIToolType = nativeTools.map((tool) => ({ type: tool }));
const transformedConnectedTools = tools?.map(formatToOpenAIAssistantTool) ?? [];
const newTools = [...transformedConnectedTools, ...nativeToolsParsed];
// Existing agent, update tools with currently assigned
if (assistantId) {
agent = new OpenAIAssistantRunnable({ assistantId, client, asAgent: true });
await client.beta.assistants.update(assistantId, {
tools: newTools,
const client = new OpenAIClient({
apiKey: credentials.apiKey as string,
maxRetries: options.maxRetries ?? 2,
timeout: options.timeout ?? 10000,
baseURL: options.baseURL,
});
} else {
const name = this.getNodeParameter('name', itemIndex, '') as string;
const instructions = this.getNodeParameter('instructions', itemIndex, '') as string;
const model = this.getNodeParameter('model', itemIndex, 'gpt-3.5-turbo-1106') as string;
let agent;
const nativeToolsParsed: OpenAIToolType = nativeTools.map((tool) => ({ type: tool }));
const transformedConnectedTools = tools?.map(formatToOpenAIAssistantTool) ?? [];
const newTools = [...transformedConnectedTools, ...nativeToolsParsed];
agent = await OpenAIAssistantRunnable.createAssistant({
model,
client,
instructions,
name,
tools: newTools,
asAgent: true,
// Existing agent, update tools with currently assigned
if (assistantId) {
agent = new OpenAIAssistantRunnable({ assistantId, client, asAgent: true });
await client.beta.assistants.update(assistantId, {
tools: newTools,
});
} else {
const name = this.getNodeParameter('name', itemIndex, '') as string;
const instructions = this.getNodeParameter('instructions', itemIndex, '') as string;
const model = this.getNodeParameter('model', itemIndex, 'gpt-3.5-turbo-1106') as string;
agent = await OpenAIAssistantRunnable.createAssistant({
model,
client,
instructions,
name,
tools: newTools,
asAgent: true,
});
}
const agentExecutor = AgentExecutor.fromAgentAndTools({
agent,
tools,
});
const response = await agentExecutor.withConfig(getTracingConfig(this)).invoke({
content: input,
signal: this.getExecutionCancelSignal(),
timeout: options.timeout ?? 10000,
});
returnData.push({ json: response });
} catch (error) {
if (this.continueOnFail()) {
returnData.push({ json: { error: error.message }, pairedItem: { item: itemIndex } });
continue;
}
throw error;
}
const agentExecutor = AgentExecutor.fromAgentAndTools({
agent,
tools,
});
const response = await agentExecutor.withConfig(getTracingConfig(this)).invoke({
content: input,
signal: this.getExecutionCancelSignal(),
timeout: options.timeout ?? 10000,
});
returnData.push({ json: response });
}
return await this.prepareOutputData(returnData);