mirror of
https://github.com/AutoMaker-Org/automaker.git
synced 2026-02-01 20:23:36 +00:00
feat(server): Add Cursor provider routing to spec generation routes
Add Cursor model support to generate-spec.ts and generate-features-from-spec.ts routes, allowing them to use Cursor models when configured in phaseModels settings. - Both routes now detect Cursor models via isCursorModel() - Route to ProviderFactory for Cursor models, Claude SDK for Claude models - Use resolveModelString() for proper model ID resolution - Extract JSON from Cursor responses using shared json-extractor utility 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Kacper
@@ -9,8 +9,10 @@ import { query } from '@anthropic-ai/claude-agent-sdk';
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import * as secureFs from '../../lib/secure-fs.js';
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import type { EventEmitter } from '../../lib/events.js';
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import { createLogger } from '@automaker/utils';
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import { DEFAULT_PHASE_MODELS } from '@automaker/types';
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import { DEFAULT_PHASE_MODELS, isCursorModel } from '@automaker/types';
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import { resolveModelString } from '@automaker/model-resolver';
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import { createFeatureGenerationOptions } from '../../lib/sdk-options.js';
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import { ProviderFactory } from '../../providers/provider-factory.js';
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import { logAuthStatus } from './common.js';
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import { parseAndCreateFeatures } from './parse-and-create-features.js';
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import { getAppSpecPath } from '@automaker/platform';
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@@ -109,47 +111,33 @@ IMPORTANT: Do not ask for clarification. The specification is provided above. Ge
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const settings = await settingsService?.getGlobalSettings();
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const featureGenerationModel =
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settings?.phaseModels?.featureGenerationModel || DEFAULT_PHASE_MODELS.featureGenerationModel;
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const model = resolveModelString(featureGenerationModel);
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logger.info('Using model:', featureGenerationModel);
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const options = createFeatureGenerationOptions({
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cwd: projectPath,
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abortController,
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autoLoadClaudeMd,
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model: featureGenerationModel,
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});
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logger.debug('SDK Options:', JSON.stringify(options, null, 2));
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logger.info('Calling Claude Agent SDK query() for features...');
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logAuthStatus('Right before SDK query() for features');
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let stream;
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try {
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stream = query({ prompt, options });
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logger.debug('query() returned stream successfully');
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} catch (queryError) {
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logger.error('❌ query() threw an exception:');
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logger.error('Error:', queryError);
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throw queryError;
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}
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logger.info('Using model:', model);
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let responseText = '';
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let messageCount = 0;
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logger.debug('Starting to iterate over feature stream...');
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// Route to appropriate provider based on model type
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if (isCursorModel(model)) {
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// Use Cursor provider for Cursor models
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logger.info('[FeatureGeneration] Using Cursor provider');
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try {
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for await (const msg of stream) {
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const provider = ProviderFactory.getProviderForModel(model);
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for await (const msg of provider.executeQuery({
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prompt,
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model,
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cwd: projectPath,
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maxTurns: 250,
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allowedTools: ['Read', 'Glob', 'Grep'],
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abortController,
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})) {
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messageCount++;
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logger.debug(
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`Feature stream message #${messageCount}:`,
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JSON.stringify({ type: msg.type, subtype: (msg as any).subtype }, null, 2)
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);
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if (msg.type === 'assistant' && msg.message.content) {
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if (msg.type === 'assistant' && msg.message?.content) {
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for (const block of msg.message.content) {
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if (block.type === 'text') {
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if (block.type === 'text' && block.text) {
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responseText += block.text;
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logger.debug(`Feature text block received (${block.text.length} chars)`);
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events.emit('spec-regeneration:event', {
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@@ -159,18 +147,74 @@ IMPORTANT: Do not ask for clarification. The specification is provided above. Ge
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});
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}
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}
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} else if (msg.type === 'result' && (msg as any).subtype === 'success') {
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logger.debug('Received success result for features');
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responseText = (msg as any).result || responseText;
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} else if ((msg as { type: string }).type === 'error') {
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logger.error('❌ Received error message from feature stream:');
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logger.error('Error message:', JSON.stringify(msg, null, 2));
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} else if (msg.type === 'result' && msg.subtype === 'success' && msg.result) {
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// Use result if it's a final accumulated message
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if (msg.result.length > responseText.length) {
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responseText = msg.result;
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}
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}
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}
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} catch (streamError) {
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logger.error('❌ Error while iterating feature stream:');
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logger.error('Stream error:', streamError);
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throw streamError;
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} else {
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// Use Claude SDK for Claude models
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logger.info('[FeatureGeneration] Using Claude SDK');
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const options = createFeatureGenerationOptions({
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cwd: projectPath,
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abortController,
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autoLoadClaudeMd,
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model,
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});
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logger.debug('SDK Options:', JSON.stringify(options, null, 2));
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logger.info('Calling Claude Agent SDK query() for features...');
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logAuthStatus('Right before SDK query() for features');
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let stream;
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try {
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stream = query({ prompt, options });
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logger.debug('query() returned stream successfully');
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} catch (queryError) {
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logger.error('❌ query() threw an exception:');
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logger.error('Error:', queryError);
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throw queryError;
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}
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logger.debug('Starting to iterate over feature stream...');
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try {
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for await (const msg of stream) {
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messageCount++;
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logger.debug(
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`Feature stream message #${messageCount}:`,
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JSON.stringify({ type: msg.type, subtype: (msg as any).subtype }, null, 2)
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);
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if (msg.type === 'assistant' && msg.message.content) {
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for (const block of msg.message.content) {
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if (block.type === 'text') {
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responseText += block.text;
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logger.debug(`Feature text block received (${block.text.length} chars)`);
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events.emit('spec-regeneration:event', {
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type: 'spec_regeneration_progress',
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content: block.text,
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projectPath: projectPath,
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});
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}
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}
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} else if (msg.type === 'result' && (msg as any).subtype === 'success') {
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logger.debug('Received success result for features');
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responseText = (msg as any).result || responseText;
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} else if ((msg as { type: string }).type === 'error') {
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logger.error('❌ Received error message from feature stream:');
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logger.error('Error message:', JSON.stringify(msg, null, 2));
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}
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}
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} catch (streamError) {
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logger.error('❌ Error while iterating feature stream:');
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logger.error('Stream error:', streamError);
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throw streamError;
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}
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}
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logger.info(`Feature stream complete. Total messages: ${messageCount}`);
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@@ -16,8 +16,11 @@ import {
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type SpecOutput,
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} from '../../lib/app-spec-format.js';
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import { createLogger } from '@automaker/utils';
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import { DEFAULT_PHASE_MODELS } from '@automaker/types';
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import { DEFAULT_PHASE_MODELS, isCursorModel } from '@automaker/types';
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import { resolveModelString } from '@automaker/model-resolver';
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import { createSpecGenerationOptions } from '../../lib/sdk-options.js';
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import { extractJson } from '../../lib/json-extractor.js';
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import { ProviderFactory } from '../../providers/provider-factory.js';
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import { logAuthStatus } from './common.js';
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import { generateFeaturesFromSpec } from './generate-features-from-spec.js';
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import { ensureAutomakerDir, getAppSpecPath } from '@automaker/platform';
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@@ -101,106 +104,168 @@ ${getStructuredSpecPromptInstruction()}`;
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const settings = await settingsService?.getGlobalSettings();
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const specGenerationModel =
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settings?.phaseModels?.specGenerationModel || DEFAULT_PHASE_MODELS.specGenerationModel;
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const model = resolveModelString(specGenerationModel);
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logger.info('Using model:', specGenerationModel);
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const options = createSpecGenerationOptions({
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cwd: projectPath,
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abortController,
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autoLoadClaudeMd,
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model: specGenerationModel,
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outputFormat: {
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type: 'json_schema',
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schema: specOutputSchema,
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},
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});
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logger.debug('SDK Options:', JSON.stringify(options, null, 2));
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logger.info('Calling Claude Agent SDK query()...');
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// Log auth status right before the SDK call
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logAuthStatus('Right before SDK query()');
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let stream;
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try {
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stream = query({ prompt, options });
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logger.debug('query() returned stream successfully');
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} catch (queryError) {
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logger.error('❌ query() threw an exception:');
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logger.error('Error:', queryError);
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throw queryError;
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}
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logger.info('Using model:', model);
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let responseText = '';
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let messageCount = 0;
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let structuredOutput: SpecOutput | null = null;
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logger.info('Starting to iterate over stream...');
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// Route to appropriate provider based on model type
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if (isCursorModel(model)) {
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// Use Cursor provider for Cursor models
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logger.info('[SpecGeneration] Using Cursor provider');
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try {
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for await (const msg of stream) {
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const provider = ProviderFactory.getProviderForModel(model);
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// For Cursor, include the JSON schema in the prompt
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const cursorPrompt = `${prompt}
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IMPORTANT: You must respond with a valid JSON object matching this schema:
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${JSON.stringify(specOutputSchema, null, 2)}`;
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for await (const msg of provider.executeQuery({
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prompt: cursorPrompt,
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model,
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cwd: projectPath,
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maxTurns: 250,
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allowedTools: ['Read', 'Glob', 'Grep'],
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abortController,
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})) {
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messageCount++;
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logger.info(
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`Stream message #${messageCount}: type=${msg.type}, subtype=${(msg as any).subtype}`
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);
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if (msg.type === 'assistant') {
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const msgAny = msg as any;
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if (msgAny.message?.content) {
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for (const block of msgAny.message.content) {
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if (block.type === 'text') {
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responseText += block.text;
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logger.info(
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`Text block received (${block.text.length} chars), total now: ${responseText.length} chars`
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);
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events.emit('spec-regeneration:event', {
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type: 'spec_regeneration_progress',
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content: block.text,
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projectPath: projectPath,
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});
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} else if (block.type === 'tool_use') {
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logger.info('Tool use:', block.name);
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events.emit('spec-regeneration:event', {
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type: 'spec_tool',
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tool: block.name,
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input: block.input,
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});
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}
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if (msg.type === 'assistant' && msg.message?.content) {
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for (const block of msg.message.content) {
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if (block.type === 'text' && block.text) {
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responseText += block.text;
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logger.info(
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`Text block received (${block.text.length} chars), total now: ${responseText.length} chars`
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);
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events.emit('spec-regeneration:event', {
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type: 'spec_regeneration_progress',
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content: block.text,
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projectPath: projectPath,
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});
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} else if (block.type === 'tool_use') {
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logger.info('Tool use:', block.name);
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events.emit('spec-regeneration:event', {
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type: 'spec_tool',
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tool: block.name,
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input: block.input,
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});
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}
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}
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} else if (msg.type === 'result' && (msg as any).subtype === 'success') {
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logger.info('Received success result');
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// Check for structured output - this is the reliable way to get spec data
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const resultMsg = msg as any;
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if (resultMsg.structured_output) {
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structuredOutput = resultMsg.structured_output as SpecOutput;
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logger.info('✅ Received structured output');
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logger.debug('Structured output:', JSON.stringify(structuredOutput, null, 2));
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} else {
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logger.warn('⚠️ No structured output in result, will fall back to text parsing');
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} else if (msg.type === 'result' && msg.subtype === 'success' && msg.result) {
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// Use result if it's a final accumulated message
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if (msg.result.length > responseText.length) {
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responseText = msg.result;
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}
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} else if (msg.type === 'result') {
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// Handle error result types
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const subtype = (msg as any).subtype;
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logger.info(`Result message: subtype=${subtype}`);
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if (subtype === 'error_max_turns') {
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logger.error('❌ Hit max turns limit!');
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} else if (subtype === 'error_max_structured_output_retries') {
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logger.error('❌ Failed to produce valid structured output after retries');
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throw new Error('Could not produce valid spec output');
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}
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} else if ((msg as { type: string }).type === 'error') {
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logger.error('❌ Received error message from stream:');
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logger.error('Error message:', JSON.stringify(msg, null, 2));
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} else if (msg.type === 'user') {
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// Log user messages (tool results)
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logger.info(`User message (tool result): ${JSON.stringify(msg).substring(0, 500)}`);
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}
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}
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} catch (streamError) {
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logger.error('❌ Error while iterating stream:');
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logger.error('Stream error:', streamError);
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throw streamError;
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// Parse JSON from the response text using shared utility
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if (responseText) {
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structuredOutput = extractJson<SpecOutput>(responseText, { logger });
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}
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} else {
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// Use Claude SDK for Claude models
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logger.info('[SpecGeneration] Using Claude SDK');
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const options = createSpecGenerationOptions({
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cwd: projectPath,
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abortController,
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autoLoadClaudeMd,
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model,
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outputFormat: {
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type: 'json_schema',
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schema: specOutputSchema,
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},
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});
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logger.debug('SDK Options:', JSON.stringify(options, null, 2));
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logger.info('Calling Claude Agent SDK query()...');
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// Log auth status right before the SDK call
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logAuthStatus('Right before SDK query()');
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let stream;
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try {
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stream = query({ prompt, options });
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logger.debug('query() returned stream successfully');
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} catch (queryError) {
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logger.error('❌ query() threw an exception:');
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logger.error('Error:', queryError);
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throw queryError;
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}
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logger.info('Starting to iterate over stream...');
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try {
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for await (const msg of stream) {
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messageCount++;
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logger.info(
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`Stream message #${messageCount}: type=${msg.type}, subtype=${(msg as any).subtype}`
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);
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if (msg.type === 'assistant') {
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const msgAny = msg as any;
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if (msgAny.message?.content) {
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for (const block of msgAny.message.content) {
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if (block.type === 'text') {
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responseText += block.text;
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logger.info(
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`Text block received (${block.text.length} chars), total now: ${responseText.length} chars`
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);
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events.emit('spec-regeneration:event', {
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type: 'spec_regeneration_progress',
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content: block.text,
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projectPath: projectPath,
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});
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} else if (block.type === 'tool_use') {
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logger.info('Tool use:', block.name);
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events.emit('spec-regeneration:event', {
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type: 'spec_tool',
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tool: block.name,
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input: block.input,
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});
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}
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}
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}
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} else if (msg.type === 'result' && (msg as any).subtype === 'success') {
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logger.info('Received success result');
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// Check for structured output - this is the reliable way to get spec data
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const resultMsg = msg as any;
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if (resultMsg.structured_output) {
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structuredOutput = resultMsg.structured_output as SpecOutput;
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logger.info('✅ Received structured output');
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logger.debug('Structured output:', JSON.stringify(structuredOutput, null, 2));
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} else {
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logger.warn('⚠️ No structured output in result, will fall back to text parsing');
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}
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} else if (msg.type === 'result') {
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// Handle error result types
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const subtype = (msg as any).subtype;
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logger.info(`Result message: subtype=${subtype}`);
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if (subtype === 'error_max_turns') {
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logger.error('❌ Hit max turns limit!');
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} else if (subtype === 'error_max_structured_output_retries') {
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logger.error('❌ Failed to produce valid structured output after retries');
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throw new Error('Could not produce valid spec output');
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}
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} else if ((msg as { type: string }).type === 'error') {
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logger.error('❌ Received error message from stream:');
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logger.error('Error message:', JSON.stringify(msg, null, 2));
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} else if (msg.type === 'user') {
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// Log user messages (tool results)
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logger.info(`User message (tool result): ${JSON.stringify(msg).substring(0, 500)}`);
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}
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}
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} catch (streamError) {
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logger.error('❌ Error while iterating stream:');
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logger.error('Stream error:', streamError);
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throw streamError;
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}
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}
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logger.info(`Stream iteration complete. Total messages: ${messageCount}`);
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