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import type {
AbortableAsyncIterator,
GenerateResponse,
ListResponse,
} from 'ollama';
import type {
AssistantMessage,
ChatParams,
ChatResult,
LanguageModelService,
SampleParams,
SampleResult,
} from '../types.ts';
import { parseModelConfig } from './parse.ts';
import type {
OllamaInstanceConfig,
OllamaModel,
OllamaClient,
OllamaModelOptions,
OllamaTool,
} from './types.ts';
import { parseToolArguments } from '../utils/parse-tool-arguments.ts';
/**
* Result of a streaming raw token-prediction request.
*/
export type SampleStreamResult = {
stream: AsyncIterable<GenerateResponse>;
abort: () => Promise<void>;
};
/**
* Base service for interacting with Ollama language models.
* Provides a generic interface for creating and managing Ollama model instances.
* This class implements the LanguageModelService interface and handles the
* creation of hardened model instances that can be safely passed between vats.
*
* @template Ollama - The type of Ollama client to use
*/
export class OllamaBaseService<Ollama extends OllamaClient>
implements
LanguageModelService<
OllamaModelOptions,
OllamaModelOptions,
GenerateResponse
>
{
readonly #makeClient: () => Promise<Ollama>;
/**
* Creates a new Ollama base service.
*
* @param makeClient - Factory function that creates an Ollama client instance
*/
constructor(makeClient: () => Promise<Ollama>) {
this.#makeClient = makeClient;
}
/**
* Retrieves a list of available models from the Ollama server.
*
* @returns A promise that resolves to the list of available models
*/
async getModels(): Promise<ListResponse> {
const client = await this.#makeClient();
return await client.list();
}
/**
* Performs a chat completion request via the Ollama chat API.
*
* @param params - The chat parameters.
* @returns A hardened chat result.
*/
async chat(params: ChatParams): Promise<ChatResult> {
const { model, messages, tools, temperature, seed, stop } = params;
const ollama = await this.#makeClient();
let stopArr: string[] | undefined;
Iif (stop !== undefined) {
stopArr = Array.isArray(stop) ? stop : [stop];
}
const response = await ollama.chat({
model,
messages: messages.map((chatMessage) => {
Iif (chatMessage.role === 'tool') {
return {
role: 'tool' as const,
content: chatMessage.content,
tool_call_id: chatMessage.tool_call_id,
};
}
if (chatMessage.role === 'assistant') {
return {
role: 'assistant' as const,
content: chatMessage.content ?? '',
...(chatMessage.tool_calls && {
tool_calls: chatMessage.tool_calls.map(({ function: fn }) => ({
function: {
name: fn.name,
arguments: parseToolArguments(fn.arguments),
},
})),
}),
};
}
return { role: chatMessage.role, content: chatMessage.content };
}),
...(tools && { tools: tools as OllamaTool[] }),
stream: false,
options: ifDefined({
temperature,
top_p: params.top_p,
seed,
num_predict: params.max_tokens,
stop: stopArr,
}),
});
const promptTokens = response.prompt_eval_count ?? 0;
const completionTokens = response.eval_count ?? 0;
const { tool_calls: responseToolCalls } = response.message;
const assistantMessage: AssistantMessage = {
role: 'assistant',
content: response.message.content,
...(responseToolCalls && {
tool_calls: responseToolCalls.map((tc, index) => ({
id: `tool-${index}`,
type: 'function' as const,
function: {
name: tc.function.name,
arguments: JSON.stringify(tc.function.arguments),
},
})),
}),
};
return harden({
id: 'ollama-chat',
model: response.model,
choices: [
{
message: assistantMessage,
index: 0,
finish_reason: response.done_reason ?? 'stop',
},
],
usage: {
prompt_tokens: promptTokens,
completion_tokens: completionTokens,
total_tokens: promptTokens + completionTokens,
},
});
}
/**
* Performs a raw token-prediction request via Ollama's generate API with raw=true,
* bypassing the model's chat template.
*
* When `params.stream` is `true`, returns a streaming result with an async
* iterable of {@link GenerateResponse} chunks and an abort handle.
* When `params.stream` is `false` or omitted, awaits and returns the full
* {@link SampleResult}.
*
* @param params - The raw sample parameters.
* @returns A streaming result when `stream: true`, or the full result otherwise.
*/
sample(params: SampleParams & { stream: true }): Promise<SampleStreamResult>;
/**
* @param params - The raw sample parameters.
* @returns A promise resolving to the full sample result.
*/
sample(params: SampleParams & { stream?: false }): Promise<SampleResult>;
/**
* @param params - The raw sample parameters.
* @returns A streaming result or full result depending on `params.stream`.
*/
async sample(
params: SampleParams & { stream?: boolean },
): Promise<SampleResult | SampleStreamResult> {
if (params.stream === true) {
return this.#streamingSample(params);
}
return this.#nonStreamingSample(params);
}
/**
* @param params - The raw sample parameters.
* @returns A promise resolving to the full sample result.
*/
async #nonStreamingSample(params: SampleParams): Promise<SampleResult> {
const ollama = await this.#makeClient();
const response = await ollama.generate({
model: params.model,
prompt: params.prompt,
raw: true,
stream: false,
options: this.#buildSampleOptions(params),
});
return harden({ text: response.response });
}
/**
* @param params - The raw sample parameters.
* @returns A promise resolving to a streaming result.
*/
async #streamingSample(params: SampleParams): Promise<SampleStreamResult> {
const ollama = await this.#makeClient();
const response: AbortableAsyncIterator<GenerateResponse> =
await ollama.generate({
model: params.model,
prompt: params.prompt,
raw: true,
stream: true,
options: this.#buildSampleOptions(params),
});
return harden({
stream: (async function* () {
for await (const chunk of response) {
yield harden(chunk);
}
})(),
abort: async () => response.abort(),
});
}
/**
* @param params - The raw sample parameters.
* @returns The options sub-object for an Ollama generate request.
*/
#buildSampleOptions(params: SampleParams): Record<string, unknown> {
const { temperature, seed } = params;
let stopArr: string[] | undefined;
Iif (params.stop !== undefined) {
stopArr = Array.isArray(params.stop) ? params.stop : [params.stop];
}
return harden(
ifDefined({
temperature,
top_p: params.top_p,
seed,
num_predict: params.max_tokens,
stop: stopArr,
}),
);
}
/**
* Creates a new language model instance with the specified configuration.
* The returned instance is hardened for object capability security.
*
* @param config - The configuration for the model instance
* @returns A promise that resolves to a hardened language model instance
*/
async makeInstance(config: OllamaInstanceConfig): Promise<OllamaModel> {
const modelInfo = parseModelConfig(config);
const { model } = modelInfo;
const ollama = await this.#makeClient();
const defaultOptions = {
...(config.options ?? {}),
};
const mandatoryOptions = {
model,
stream: true as const,
raw: true,
};
const instance = {
getInfo: async () => modelInfo,
load: async () => {
await ollama.generate({ model, keep_alive: -1, prompt: '' });
},
unload: async () => {
await ollama.generate({ model, keep_alive: 0, prompt: '' });
},
sample: async (prompt: string, options?: Partial<OllamaModelOptions>) => {
const response = await ollama.generate({
...defaultOptions,
...(options ?? {}),
...mandatoryOptions,
prompt,
});
return {
stream: (async function* () {
for await (const chunk of response) {
yield chunk;
}
})(),
abort: async () => response.abort(),
};
},
};
return harden(instance);
}
}
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