llmverify
Version:
AI Output Verification Toolkit — Local-first LLM safety, hallucination detection, PII redaction, prompt injection defense, and runtime monitoring. Zero telemetry. OWASP LLM Top 10 aligned.
88 lines • 10.4 kB
JavaScript
;
/**
* Anthropic Adapter
*
* Adapter for Anthropic API (Claude models)
*
* @module adapters/providers/anthropic
* @author Haiec
* @license MIT
*/
Object.defineProperty(exports, "__esModule", { value: true });
exports.buildAnthropicAdapter = buildAnthropicAdapter;
const types_1 = require("../types");
/**
* Builds an Anthropic adapter.
*
* @param config - Adapter configuration
* @returns LLM client for Anthropic
*
* @example
* import Anthropic from '@anthropic-ai/sdk';
* const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
* const llm = buildAnthropicAdapter({ provider: 'anthropic', client: anthropic });
*/
function buildAnthropicAdapter(config) {
if (!config.client && !config.apiKey) {
throw new types_1.AdapterConfigError('anthropic', 'Anthropic adapter requires either a client instance or apiKey. ' +
'Install @anthropic-ai/sdk: npm install @anthropic-ai/sdk');
}
const client = config.client;
const defaultModel = config.defaultModel ?? 'claude-3-5-sonnet-20241022';
return {
provider: 'anthropic',
providerName: 'Anthropic',
async generate(request) {
if (!client) {
throw new types_1.AdapterConfigError('anthropic', 'Client not initialized');
}
const model = request.model || defaultModel;
const response = await client.messages.create({
model,
max_tokens: request.maxTokens ?? 4096,
messages: [{ role: 'user', content: request.prompt }],
system: request.system,
temperature: request.temperature,
stop_sequences: request.stop
});
// Extract text from content blocks
const text = response.content
.filter(block => block.type === 'text')
.map(block => block.text ?? '')
.join('');
const tokens = response.usage?.output_tokens ?? estimateTokens(text);
const totalTokens = response.usage
? (response.usage.input_tokens ?? 0) + (response.usage.output_tokens ?? 0)
: undefined;
return {
text,
tokens,
totalTokens,
model: response.model ?? model,
finishReason: normalizeFinishReason(response.stop_reason),
raw: response
};
}
};
}
/**
* Estimates token count from text.
*/
function estimateTokens(text) {
return Math.ceil(text.split(/\s+/).length * 1.3);
}
/**
* Normalizes Anthropic finish reason.
*/
function normalizeFinishReason(reason) {
if (!reason)
return undefined;
const map = {
'end_turn': 'stop',
'stop_sequence': 'stop',
'max_tokens': 'length',
'tool_use': 'tool_calls'
};
return map[reason] ?? reason;
}
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