* feat: support MCP sampling * support provider registry * use standard config options for MCP provider * update fastmcp to support passing params to requestSampling * move key name definition to base provider * moved check for required api key to provider class * remove unused code * more cleanup * more cleanup * refactor provider * remove not needed files * more cleanup * more cleanup * more cleanup * update docs * fix tests * add tests * format fix * clean files * merge fixes * format fix * feat: add support for MCP Sampling as AI provider * initial mcp ai sdk * fix references to old provider * update models * lint * fix gemini-cli conflicts * ran format * Update src/provider-registry/index.js Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com> * fix circular dependency Circular Dependency Issue ✅ FIXED Root Cause: BaseAIProvider was importing from index.js, which includes commands.js and other modules that eventually import back to AI providers Solution: Changed imports to use direct paths to avoid circular dependencies: Updated base-provider.js to import log directly from utils.js Updated gemini-cli.js to import log directly from utils.js Result: Fixed 11 failing tests in mcp-provider.test.js * fix gemini test * fix(claude-code): recover from CLI JSON truncation bug (#913) (#920) Gracefully handle SyntaxError thrown by @anthropic-ai/claude-code when the CLI truncates large JSON outputs (4–16 kB cut-offs).\n\nKey points:\n• Detect JSON parse error + existing buffered text in both doGenerate() and doStream() code paths.\n• Convert the failure into a recoverable 'truncated' finish state and push a provider-warning.\n• Allows Task Master to continue parsing long PRDs / expand-task operations instead of crashing.\n\nA patch changeset (.changeset/claude-code-json-truncation.md) is included for the next release.\n\nRef: eyaltoledano/claude-task-master#913 * docs: fix gemini-cli authentication documentation (#923) Remove erroneous 'gemini auth login' command references and replace with correct 'gemini' command authentication flow. Update documentation to reflect proper OAuth setup process via the gemini CLI interactive interface. * fix tests * fix: update ai-sdk-provider-gemini-cli to 0.0.4 for improved authentication (#932) - Fixed authentication compatibility issues with Google auth - Added support for 'api-key' auth type alongside 'gemini-api-key' - Resolved "Unsupported authType: undefined" runtime errors - Updated @google/gemini-cli-core dependency to 0.1.9 - Improved documentation and removed invalid auth references - Maintained backward compatibility while enhancing type validation * call logging directly Need to patch upstream fastmcp to allow easier access and bootstrap the TM mcp logger to use the fastmcp logger which today is only exposed in the tools handler * fix tests * removing logs until we figure out how to pass mcp logger * format * fix tests * format * clean up * cleanup * readme fix --------- Co-authored-by: Oren Melamed <oren.m@gloat.com> Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com> Co-authored-by: Ben Vargas <ben@vargas.com>
65 lines
1.9 KiB
JavaScript
65 lines
1.9 KiB
JavaScript
/**
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* src/ai-providers/anthropic.js
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*
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* Implementation for interacting with Anthropic models (e.g., Claude)
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* using the Vercel AI SDK.
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*/
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import { createAnthropic } from '@ai-sdk/anthropic';
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import { BaseAIProvider } from './base-provider.js';
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// TODO: Implement standardized functions for generateText, streamText, generateObject
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// --- Client Instantiation ---
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// Note: API key resolution should ideally happen closer to the call site
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// using the config manager/resolver which checks process.env and session.env.
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// This is a placeholder for basic functionality.
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// Remove the global variable and caching logic
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// let anthropicClient;
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export class AnthropicAIProvider extends BaseAIProvider {
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constructor() {
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super();
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this.name = 'Anthropic';
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}
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/**
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* Returns the environment variable name required for this provider's API key.
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* @returns {string} The environment variable name for the Anthropic API key
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*/
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getRequiredApiKeyName() {
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return 'ANTHROPIC_API_KEY';
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}
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/**
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* Creates and returns an Anthropic client instance.
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* @param {object} params - Parameters for client initialization
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* @param {string} params.apiKey - Anthropic API key
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* @param {string} [params.baseURL] - Optional custom API endpoint
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* @returns {Function} Anthropic client function
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* @throws {Error} If API key is missing or initialization fails
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*/
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getClient(params) {
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try {
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const { apiKey, baseURL } = params;
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if (!apiKey) {
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throw new Error('Anthropic API key is required.');
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}
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return createAnthropic({
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apiKey,
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...(baseURL && { baseURL }),
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headers: {
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'anthropic-beta': 'output-128k-2025-02-19'
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}
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});
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} catch (error) {
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this.handleError('client initialization', error);
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}
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}
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}
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// TODO: Implement streamAnthropicObject if needed and supported well by the SDK for Anthropic.
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// The basic structure would be similar to generateAnthropicObject but using streamObject.
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