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// ═══════════════════════════════════════════════════════════════════════════════
// PCL Runtime - Ollama Provider
// Local LLM inference with Ollama
// ═══════════════════════════════════════════════════════════════════════════════
import { Ollama } from 'ollama';
import type {
AIProvider,
ProviderCapabilities,
GenerationRequest,
GenerationResponse,
GenerationChunk,
FinishReason,
TokenUsage,
} from './index';
// ─────────────────────────────────────────────────────────────────────────────
// Ollama Provider Configuration
// ─────────────────────────────────────────────────────────────────────────────
export interface OllamaProviderConfig {
/** Default model to use (e.g., 'llama2', 'mistral', 'codellama') */
defaultModel?: string;
/** Ollama host URL (defaults to http://localhost:11434) */
host?: string;
/** Request timeout in milliseconds */
timeout?: number;
}
// ─────────────────────────────────────────────────────────────────────────────
// Ollama Provider
// ─────────────────────────────────────────────────────────────────────────────
export class OllamaProvider implements AIProvider {
readonly name = 'ollama';
readonly capabilities: ProviderCapabilities = {
streaming: true,
toolCalling: false, // Ollama doesn't support native tool calling yet
vision: true, // Some Ollama models support vision (llava, bakllava)
maxTokens: 4096, // Varies by model
maxContextWindow: 8192, // Varies by model
models: [
'llama2',
'mistral',
'codellama',
'llama3',
'phi',
'gemma',
'qwen',
'llava', // Vision model
],
};
private readonly client: Ollama;
private readonly config: OllamaProviderConfig;
constructor(config: OllamaProviderConfig = {}) {
this.config = {
defaultModel: 'llama2',
host: 'http://localhost:11434',
timeout: 120000, // 2 minutes
...config,
};
this.client = new Ollama({
host: this.config.host,
});
}
/**
* Generate a complete response
*/
async generateResponse(
request: GenerationRequest
): Promise<GenerationResponse> {
const model = request.model || this.config.defaultModel || 'llama2';
// Build messages array
const messages = this.buildMessages(request);
try {
const response = await this.client.chat({
model,
messages,
options: {
temperature: request.temperature ?? 0.7,
num_predict: request.maxTokens,
top_p: request.topP,
stop: request.stopSequences as string[] | undefined,
},
});
const content = response.message.content;
// Ollama doesn't provide token counts by default, so we approximate
const promptTokens = this.countTokens(this.stringifyMessages(messages));
const completionTokens = this.countTokens(content);
const usage: TokenUsage = {
promptTokens,
completionTokens,
totalTokens: promptTokens + completionTokens,
};
return {
content,
finishReason: this.mapFinishReason(response.done_reason),
usage,
metadata: {
model: response.model,
created_at: response.created_at,
total_duration: response.total_duration,
load_duration: response.load_duration,
prompt_eval_count: response.prompt_eval_count,
eval_count: response.eval_count,
},
};
} catch (error) {
throw new Error(`Ollama generation failed: ${(error as Error).message}`);
}
}
/**
* Stream response chunks
*/
async *streamResponse(
request: GenerationRequest
): AsyncIterable<GenerationChunk> {
const model = request.model || this.config.defaultModel || 'llama2';
// Build messages array
const messages = this.buildMessages(request);
try {
const stream = await this.client.chat({
model,
messages,
options: {
temperature: request.temperature ?? 0.7,
num_predict: request.maxTokens,
top_p: request.topP,
stop: request.stopSequences as string[] | undefined,
},
stream: true,
});
for await (const chunk of stream) {
const content = chunk.message.content;
const done = chunk.done;
yield {
content,
done,
finishReason: done
? this.mapFinishReason(chunk.done_reason)
: undefined,
};
}
} catch (error) {
throw new Error(`Ollama streaming failed: ${(error as Error).message}`);
}
}
/**
* Count tokens in text (approximate)
*/
countTokens(text: string): number {
// Approximate token count for Llama-style models
// ~4 characters per token on average
return Math.ceil(text.length / 4);
}
// ───────────────────────────────────────────────────────────────────────────
// Private Methods
// ───────────────────────────────────────────────────────────────────────────
private buildMessages(request: GenerationRequest) {
const messages: Array<{
role: 'system' | 'user' | 'assistant';
content: string;
}> = [];
// Add system prompt if provided
if (request.systemPrompt) {
messages.push({
role: 'system',
content: request.systemPrompt,
});
}
// Add history
if (request.history && request.history.length > 0) {
for (const msg of request.history) {
messages.push({
role: msg.from === 'user' ? 'user' : 'assistant',
content: msg.content,
});
}
}
// Add current prompt
messages.push({
role: 'user',
content: request.prompt,
});
return messages;
}
private stringifyMessages(
messages: Array<{ role: string; content: string }>
): string {
return messages.map((m) => m.content).join(' ');
}
private mapFinishReason(reason?: string): FinishReason {
if (!reason) {
return 'stop';
}
switch (reason) {
case 'stop':
return 'stop';
case 'length':
return 'length';
case 'load':
return 'error';
default:
return 'stop';
}
}
/**
* List available models from Ollama server
*/
async listModels(): Promise<string[]> {
try {
const response = await this.client.list();
return response.models.map((m) => m.name);
} catch (error) {
throw new Error(
`Failed to list Ollama models: ${(error as Error).message}`
);
}
}
/**
* Pull a model from Ollama registry
*/
async pullModel(model: string): Promise<void> {
try {
await this.client.pull({ model, stream: false });
} catch (error) {
throw new Error(
`Failed to pull Ollama model '${model}': ${(error as Error).message}`
);
}
}
/**
* Check if Ollama server is running
*/
async isServerRunning(): Promise<boolean> {
try {
await this.client.list();
return true;
} catch {
return false;
}
}
}