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ollama.ts
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ollama.ts
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import { ok } from "@llamaindex/env";
import type { CallbackManager, Event } from "../callbacks/CallbackManager.js";
import { BaseEmbedding } from "../embeddings/types.js";
import type {
ChatMessage,
ChatResponse,
ChatResponseChunk,
CompletionResponse,
LLM,
LLMChatParamsNonStreaming,
LLMChatParamsStreaming,
LLMCompletionParamsNonStreaming,
LLMCompletionParamsStreaming,
LLMMetadata,
} from "./types.js";
const messageAccessor = (data: any): ChatResponseChunk => {
return {
delta: data.message.content,
};
};
const completionAccessor = (data: any): CompletionResponse => {
return { text: data.response };
};
// https://github.com/jmorganca/ollama
export class Ollama extends BaseEmbedding implements LLM {
readonly hasStreaming = true;
// https://ollama.ai/library
model: string;
baseURL: string = "http://127.0.0.1:11434";
temperature: number = 0.7;
topP: number = 0.9;
contextWindow: number = 4096;
requestTimeout: number = 60 * 1000; // Default is 60 seconds
additionalChatOptions?: Record<string, unknown>;
callbackManager?: CallbackManager;
protected modelMetadata: Partial<LLMMetadata>;
constructor(
init: Partial<Ollama> & {
// model is required
model: string;
modelMetadata?: Partial<LLMMetadata>;
},
) {
super();
this.model = init.model;
this.modelMetadata = init.modelMetadata ?? {};
Object.assign(this, init);
}
get metadata(): LLMMetadata {
return {
model: this.model,
temperature: this.temperature,
topP: this.topP,
maxTokens: undefined,
contextWindow: this.contextWindow,
tokenizer: undefined,
...this.modelMetadata,
};
}
chat(
params: LLMChatParamsStreaming,
): Promise<AsyncIterable<ChatResponseChunk>>;
chat(params: LLMChatParamsNonStreaming): Promise<ChatResponse>;
async chat(
params: LLMChatParamsNonStreaming | LLMChatParamsStreaming,
): Promise<ChatResponse | AsyncIterable<ChatResponseChunk>> {
const { messages, parentEvent, stream } = params;
const payload = {
model: this.model,
messages: messages.map((message) => ({
role: message.role,
content: message.content,
})),
stream: !!stream,
options: {
temperature: this.temperature,
num_ctx: this.contextWindow,
top_p: this.topP,
...this.additionalChatOptions,
},
};
const response = await fetch(`${this.baseURL}/api/chat`, {
body: JSON.stringify(payload),
method: "POST",
signal: AbortSignal.timeout(this.requestTimeout),
headers: {
"Content-Type": "application/json",
},
});
if (!stream) {
const raw = await response.json();
const { message } = raw;
return {
message: {
role: "assistant",
content: message.content,
},
raw,
};
} else {
const stream = response.body;
ok(stream, "stream is null");
ok(stream instanceof ReadableStream, "stream is not readable");
return this.streamChat(stream, messageAccessor, parentEvent);
}
}
private async *streamChat<T>(
stream: ReadableStream<Uint8Array>,
accessor: (data: any) => T,
parentEvent?: Event,
): AsyncIterable<T> {
const reader = stream.getReader();
while (true) {
const { done, value } = await reader.read();
if (done) {
return;
}
const lines = Buffer.from(value)
.toString("utf-8")
.split("\n")
.map((line) => line.trim());
for (const line of lines) {
if (line === "") {
continue;
}
const json = JSON.parse(line);
if (json.error) {
throw new Error(json.error);
}
yield accessor(json);
}
}
}
complete(
params: LLMCompletionParamsStreaming,
): Promise<AsyncIterable<CompletionResponse>>;
complete(
params: LLMCompletionParamsNonStreaming,
): Promise<CompletionResponse>;
async complete(
params: LLMCompletionParamsStreaming | LLMCompletionParamsNonStreaming,
): Promise<CompletionResponse | AsyncIterable<CompletionResponse>> {
const { prompt, parentEvent, stream } = params;
const payload = {
model: this.model,
prompt: prompt,
stream: !!stream,
options: {
temperature: this.temperature,
num_ctx: this.contextWindow,
top_p: this.topP,
...this.additionalChatOptions,
},
};
const response = await fetch(`${this.baseURL}/api/generate`, {
body: JSON.stringify(payload),
method: "POST",
signal: AbortSignal.timeout(this.requestTimeout),
headers: {
"Content-Type": "application/json",
},
});
if (!stream) {
const raw = await response.json();
return {
text: raw.response,
raw,
};
} else {
const stream = response.body;
ok(stream, "stream is null");
ok(stream instanceof ReadableStream, "stream is not readable");
return this.streamChat(stream, completionAccessor, parentEvent);
}
}
tokens(messages: ChatMessage[]): number {
throw new Error("Method not implemented.");
}
private async getEmbedding(prompt: string): Promise<number[]> {
const payload = {
model: this.model,
prompt,
options: {
temperature: this.temperature,
num_ctx: this.contextWindow,
top_p: this.topP,
...this.additionalChatOptions,
},
};
const response = await fetch(`${this.baseURL}/api/embeddings`, {
body: JSON.stringify(payload),
method: "POST",
signal: AbortSignal.timeout(this.requestTimeout),
headers: {
"Content-Type": "application/json",
},
});
const { embedding } = await response.json();
return embedding;
}
async getTextEmbedding(text: string): Promise<number[]> {
return this.getEmbedding(text);
}
async getQueryEmbedding(query: string): Promise<number[]> {
return this.getEmbedding(query);
}
}