fix: Fix external provider support
This commit is contained in:
@@ -294,30 +294,14 @@ async function runInteractiveSetup(projectRoot) {
|
||||
}
|
||||
: null;
|
||||
|
||||
const customOpenRouterOption = {
|
||||
name: '* Custom OpenRouter model', // Symbol updated
|
||||
value: '__CUSTOM_OPENROUTER__'
|
||||
};
|
||||
|
||||
const customOllamaOption = {
|
||||
name: '* Custom Ollama model', // Symbol updated
|
||||
value: '__CUSTOM_OLLAMA__'
|
||||
};
|
||||
|
||||
const customBedrockOption = {
|
||||
name: '* Custom Bedrock model', // Add Bedrock custom option
|
||||
value: '__CUSTOM_BEDROCK__'
|
||||
};
|
||||
|
||||
const customAzureOption = {
|
||||
name: '* Custom Azure OpenAI model', // Add Azure custom option
|
||||
value: '__CUSTOM_AZURE__'
|
||||
};
|
||||
|
||||
const customVertexOption = {
|
||||
name: '* Custom Vertex AI model', // Add Vertex custom option
|
||||
value: '__CUSTOM_VERTEX__'
|
||||
};
|
||||
// Define custom provider options
|
||||
const customProviderOptions = [
|
||||
{ name: '* Custom OpenRouter model', value: '__CUSTOM_OPENROUTER__' },
|
||||
{ name: '* Custom Ollama model', value: '__CUSTOM_OLLAMA__' },
|
||||
{ name: '* Custom Bedrock model', value: '__CUSTOM_BEDROCK__' },
|
||||
{ name: '* Custom Azure model', value: '__CUSTOM_AZURE__' },
|
||||
{ name: '* Custom Vertex model', value: '__CUSTOM_VERTEX__' }
|
||||
];
|
||||
|
||||
let choices = [];
|
||||
let defaultIndex = 0; // Default to 'Cancel'
|
||||
@@ -362,15 +346,8 @@ async function runInteractiveSetup(projectRoot) {
|
||||
if (noChangeOption) {
|
||||
systemOptions.push(noChangeOption);
|
||||
}
|
||||
systemOptions.push(cancelOption);
|
||||
|
||||
const customOptions = [
|
||||
customOpenRouterOption,
|
||||
customOllamaOption,
|
||||
customBedrockOption,
|
||||
customAzureOption,
|
||||
customVertexOption
|
||||
];
|
||||
commonPrefix.push(cancelOption);
|
||||
commonPrefix.push(...customProviderOptions);
|
||||
|
||||
const systemLength = systemOptions.length;
|
||||
|
||||
@@ -486,6 +463,130 @@ async function runInteractiveSetup(projectRoot) {
|
||||
const coreOptionsSetup = { projectRoot }; // Pass root for setup actions
|
||||
|
||||
// Helper to handle setting a model (including custom)
|
||||
async function handleCustomProviderSelection(provider, role) {
|
||||
const providerConfigs = {
|
||||
bedrock: {
|
||||
prompt: `Enter the custom Bedrock Model ID for the ${role} role (e.g., anthropic.claude-3-sonnet-20240229-v1:0):`,
|
||||
envVars: ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY'],
|
||||
successMessage:
|
||||
'Custom Bedrock model will be used. No validation performed.'
|
||||
},
|
||||
azure: {
|
||||
prompt: `Enter the custom Azure OpenAI deployment name for the ${role} role:`,
|
||||
envVars: ['AZURE_OPENAI_API_KEY', 'AZURE_OPENAI_ENDPOINT'],
|
||||
successMessage:
|
||||
'Custom Azure model will be used. No validation performed.'
|
||||
},
|
||||
vertex: {
|
||||
prompt: `Enter the custom Vertex AI model ID for the ${role} role (e.g., gemini-pro):`,
|
||||
envVars: ['GOOGLE_APPLICATION_CREDENTIALS'],
|
||||
successMessage:
|
||||
'Custom Vertex model will be used. No validation performed.'
|
||||
},
|
||||
openrouter: {
|
||||
prompt: `Enter the custom OpenRouter Model ID for the ${role} role:`,
|
||||
envVars: [],
|
||||
successMessage: '',
|
||||
validate: true
|
||||
},
|
||||
ollama: {
|
||||
prompt: `Enter the custom Ollama Model ID for the ${role} role:`,
|
||||
envVars: [],
|
||||
successMessage: '',
|
||||
validate: true
|
||||
}
|
||||
};
|
||||
|
||||
const config = providerConfigs[provider];
|
||||
if (!config) {
|
||||
return { success: false, error: `Unknown provider: ${provider}` };
|
||||
}
|
||||
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: config.prompt
|
||||
}
|
||||
]);
|
||||
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return { success: false };
|
||||
}
|
||||
|
||||
// Check required environment variables
|
||||
if (config.envVars.length > 0) {
|
||||
const missingVars = config.envVars.filter(
|
||||
(envVar) => !process.env[envVar]
|
||||
);
|
||||
if (missingVars.length > 0) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Missing environment variables: ${missingVars.join(', ')}. Please set them before using custom ${provider} models.`
|
||||
)
|
||||
);
|
||||
return { success: false };
|
||||
}
|
||||
}
|
||||
|
||||
// Handle validation for specific providers
|
||||
if (provider === 'openrouter' && config.validate) {
|
||||
const openRouterModels = await fetchOpenRouterModelsCLI();
|
||||
if (
|
||||
!openRouterModels ||
|
||||
!openRouterModels.some((m) => m.id === customId)
|
||||
) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Model ID "${customId}" not found in the live OpenRouter model list. Please check the ID.`
|
||||
)
|
||||
);
|
||||
return { success: false };
|
||||
}
|
||||
} else if (provider === 'ollama' && config.validate) {
|
||||
const ollamaBaseURL = getBaseUrlForRole(role, projectRoot);
|
||||
const ollamaModels = await fetchOllamaModelsCLI(ollamaBaseURL);
|
||||
if (ollamaModels === null) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Unable to connect to Ollama server at ${ollamaBaseURL}. Please ensure Ollama is running and try again.`
|
||||
)
|
||||
);
|
||||
return { success: false };
|
||||
} else if (!ollamaModels.some((m) => m.model === customId)) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Model ID "${customId}" not found in the Ollama instance. Please verify the model is pulled and available.`
|
||||
)
|
||||
);
|
||||
console.log(
|
||||
chalk.yellow(
|
||||
`You can check available models with: curl ${ollamaBaseURL}/tags`
|
||||
)
|
||||
);
|
||||
return { success: false };
|
||||
}
|
||||
}
|
||||
|
||||
if (config.successMessage) {
|
||||
console.log(
|
||||
chalk.blue(
|
||||
config.successMessage.replace(
|
||||
'Custom Bedrock',
|
||||
`Custom ${provider.charAt(0).toUpperCase() + provider.slice(1)}`
|
||||
)
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
return {
|
||||
success: true,
|
||||
modelId: customId,
|
||||
provider: provider
|
||||
};
|
||||
}
|
||||
|
||||
async function handleSetModel(role, selectedValue, currentModelId) {
|
||||
if (selectedValue === '__CANCEL__') {
|
||||
console.log(
|
||||
@@ -506,180 +607,50 @@ async function runInteractiveSetup(projectRoot) {
|
||||
let isCustomSelection = false;
|
||||
|
||||
if (selectedValue === '__CUSTOM_OPENROUTER__') {
|
||||
isCustomSelection = true;
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: `Enter the custom OpenRouter Model ID for the ${role} role:`
|
||||
}
|
||||
]);
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return true; // Continue setup, but don't set this role
|
||||
}
|
||||
modelIdToSet = customId;
|
||||
providerHint = CUSTOM_PROVIDERS.OPENROUTER;
|
||||
// Validate against live OpenRouter list
|
||||
const openRouterModels = await fetchOpenRouterModelsCLI();
|
||||
if (
|
||||
!openRouterModels ||
|
||||
!openRouterModels.some((m) => m.id === modelIdToSet)
|
||||
) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Model ID "${modelIdToSet}" not found in the live OpenRouter model list. Please check the ID.`
|
||||
)
|
||||
);
|
||||
const result = await handleCustomProviderSelection('openrouter', role);
|
||||
if (!result.success) {
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
return true;
|
||||
}
|
||||
isCustomSelection = true;
|
||||
modelIdToSet = result.modelId;
|
||||
providerHint = result.provider;
|
||||
} else if (selectedValue === '__CUSTOM_OLLAMA__') {
|
||||
const result = await handleCustomProviderSelection('ollama', role);
|
||||
if (!result.success) {
|
||||
setupSuccess = false;
|
||||
return true;
|
||||
}
|
||||
isCustomSelection = true;
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: `Enter the custom Ollama Model ID for the ${role} role:`
|
||||
}
|
||||
]);
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return true; // Continue setup, but don't set this role
|
||||
}
|
||||
modelIdToSet = customId;
|
||||
providerHint = CUSTOM_PROVIDERS.OLLAMA;
|
||||
// Get the Ollama base URL from config for this role
|
||||
const ollamaBaseURL = getBaseUrlForRole(role, projectRoot);
|
||||
// Validate against live Ollama list
|
||||
const ollamaModels = await fetchOllamaModelsCLI(ollamaBaseURL);
|
||||
if (ollamaModels === null) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Unable to connect to Ollama server at ${ollamaBaseURL}. Please ensure Ollama is running and try again.`
|
||||
)
|
||||
);
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
} else if (!ollamaModels.some((m) => m.model === modelIdToSet)) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
`Error: Model ID "${modelIdToSet}" not found in the Ollama instance. Please verify the model is pulled and available.`
|
||||
)
|
||||
);
|
||||
console.log(
|
||||
chalk.yellow(
|
||||
`You can check available models with: curl ${ollamaBaseURL}/tags`
|
||||
)
|
||||
);
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
}
|
||||
modelIdToSet = result.modelId;
|
||||
providerHint = result.provider;
|
||||
} else if (selectedValue === '__CUSTOM_BEDROCK__') {
|
||||
isCustomSelection = true;
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: `Enter the custom Bedrock Model ID for the ${role} role (e.g., anthropic.claude-3-sonnet-20240229-v1:0):`
|
||||
}
|
||||
]);
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return true; // Continue setup, but don't set this role
|
||||
}
|
||||
modelIdToSet = customId;
|
||||
providerHint = CUSTOM_PROVIDERS.BEDROCK;
|
||||
|
||||
// Check if AWS environment variables exist
|
||||
if (
|
||||
!process.env.AWS_ACCESS_KEY_ID ||
|
||||
!process.env.AWS_SECRET_ACCESS_KEY
|
||||
) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
'Error: AWS_ACCESS_KEY_ID and/or AWS_SECRET_ACCESS_KEY environment variables are missing. Please set them before using custom Bedrock models.'
|
||||
)
|
||||
);
|
||||
const result = await handleCustomProviderSelection('bedrock', role);
|
||||
if (!result.success) {
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
return true;
|
||||
}
|
||||
|
||||
console.log(
|
||||
chalk.blue(
|
||||
`Custom Bedrock model "${modelIdToSet}" will be used. No validation performed.`
|
||||
)
|
||||
);
|
||||
isCustomSelection = true;
|
||||
modelIdToSet = result.modelId;
|
||||
providerHint = result.provider;
|
||||
} else if (selectedValue === '__CUSTOM_AZURE__') {
|
||||
isCustomSelection = true;
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: `Enter the custom Azure OpenAI Model ID for the ${role} role (e.g., gpt-4o):`
|
||||
}
|
||||
]);
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return true; // Continue setup, but don't set this role
|
||||
}
|
||||
modelIdToSet = customId;
|
||||
providerHint = CUSTOM_PROVIDERS.AZURE;
|
||||
|
||||
// Check if Azure environment variables exist
|
||||
if (
|
||||
!process.env.AZURE_OPENAI_API_KEY ||
|
||||
!process.env.AZURE_OPENAI_ENDPOINT
|
||||
) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
'Error: AZURE_OPENAI_API_KEY and/or AZURE_OPENAI_ENDPOINT environment variables are missing. Please set them before using custom Azure models.'
|
||||
)
|
||||
);
|
||||
const result = await handleCustomProviderSelection('azure', role);
|
||||
if (!result.success) {
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
return true;
|
||||
}
|
||||
|
||||
console.log(
|
||||
chalk.blue(
|
||||
`Custom Azure OpenAI model "${modelIdToSet}" will be used. No validation performed.`
|
||||
)
|
||||
);
|
||||
isCustomSelection = true;
|
||||
modelIdToSet = result.modelId;
|
||||
providerHint = result.provider;
|
||||
} else if (selectedValue === '__CUSTOM_VERTEX__') {
|
||||
isCustomSelection = true;
|
||||
const { customId } = await inquirer.prompt([
|
||||
{
|
||||
type: 'input',
|
||||
name: 'customId',
|
||||
message: `Enter the custom Vertex AI Model ID for the ${role} role (e.g., gemini-1.5-pro-002):`
|
||||
}
|
||||
]);
|
||||
if (!customId) {
|
||||
console.log(chalk.yellow('No custom ID entered. Skipping role.'));
|
||||
return true; // Continue setup, but don't set this role
|
||||
}
|
||||
modelIdToSet = customId;
|
||||
providerHint = CUSTOM_PROVIDERS.VERTEX;
|
||||
|
||||
// Check if Google/Vertex environment variables exist
|
||||
if (
|
||||
!process.env.GOOGLE_API_KEY &&
|
||||
!process.env.GOOGLE_APPLICATION_CREDENTIALS
|
||||
) {
|
||||
console.error(
|
||||
chalk.red(
|
||||
'Error: Either GOOGLE_API_KEY or GOOGLE_APPLICATION_CREDENTIALS environment variable is required. Please set one before using custom Vertex models.'
|
||||
)
|
||||
);
|
||||
const result = await handleCustomProviderSelection('vertex', role);
|
||||
if (!result.success) {
|
||||
setupSuccess = false;
|
||||
return true; // Continue setup, but mark as failed
|
||||
return true;
|
||||
}
|
||||
|
||||
console.log(
|
||||
chalk.blue(
|
||||
`Custom Vertex AI model "${modelIdToSet}" will be used. No validation performed.`
|
||||
)
|
||||
);
|
||||
isCustomSelection = true;
|
||||
modelIdToSet = result.modelId;
|
||||
providerHint = result.provider;
|
||||
} else if (
|
||||
selectedValue &&
|
||||
typeof selectedValue === 'object' &&
|
||||
|
||||
Reference in New Issue
Block a user