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examples/python-simplegenerate/client.py 0 → 100644
View file @ ecd2f176
import json
import requests
# NOTE: ollama must be running for this to work, start the ollama app or run `ollama serve`
model = 'stablelm-zephyr' # TODO: update this for whatever model you wish to use
def generate(prompt, context):
r = requests.post('http://localhost:11434/api/generate',
json={
'model': model,
'prompt': prompt,
'context': context,
},
stream=True)
r.raise_for_status()
for line in r.iter_lines():
body = json.loads(line)
response_part = body.get('response', '')
# the response streams one token at a time, print that as we receive it
print(response_part, end='', flush=True)
if 'error' in body:
raise Exception(body['error'])
if body.get('done', False):
return body['context']
def main():
context = [] # the context stores a conversation history, you can use this to make the model more context aware
while True:
user_input = input("Enter a prompt: ")
if not user_input:
exit()
print()
context = generate(user_input, context)
print()
if __name__ == "__main__":
main()
examples/typescript-functioncalling/extractemail.ts 0 → 100644
View file @ ecd2f176
import { Ollama } from "ollama-node";
import { readFile } from "fs/promises";
// function to be called on events
function reportEvents(name: string, date: string, location: string) {
const nameString = name ? `${name}` : `an event`;
const dateString = date ? ` on ${date}` : ``;
const locationString = location ? ` at ${location}` : ``;
console.log(`You have an event: ${nameString}${dateString}${locationString}`)
}
// function to be called on addresses
function reportAddresses(address) {
for (const field in address) {
if (address[field]) {
if (field === "city") {
const city = address.city;
const state = address.state ? `, ${address.state}` : '';
const zip = address.zip ? ` ${address.zip}` : '';
console.log(`${city}${state}${zip}`);
break;
} else {
console.log(`${address[field]}`);
}
}
}
console.log(``);
}
async function main() {
const ollama = new Ollama();
const systemprompt = `You will be given a text along with a prompt and a schema. You will have to extract the information requested in the prompt from the text and generate output in JSON observing the schema provided. If the schema shows a type of integer or number, you must only show a integer for that field. A string should always be a valid string. If a value is unknown, leave it empty. Output the JSON with extra spaces to ensure that it pretty prints.`
const schema = {
"eventsQuantity": {
"type": "integer",
"description": "The number of events in the source text"
},
"addressesQuantity": {
"type": "integer",
"description": "The number of addresses in the source text"
},
"events": [{
name: {
"type": "string",
description: "Name of the event"
},
"date": {
"type": "string",
"description": "Date of the event"
},
"location": {
"type": "string",
"description": "Location of the event"
},
"extraInfo": {
"type": "string",
"description": "Any extra information that is provided about the event."
}
}],
"people": [{
"name": {
"type": "string",
"description": "Name of the person"
},
"company": {
"type": "string",
"description": "Name of the company where they work"
},
"street": {
"type": "string",
"description": "Street address of the person or company. This is only the street name and the numerical address. Do not include city, state, or zip of the address in this field."
},
"city": {
"type": "string",
"description": "City portion of the address of the person or company"
},
"state": {
"type": "string",
"description": "State portion of the address of the person or company"
},
"zip": {
"type": "string",
"description": "Zip code of the person or company"
},
"extraInfo": {
"type": "string",
"description": "Any extra information that is provided about the location."
}
}]
}
const textcontent = await readFile("./info.txt", "utf-8").then((text) => text.split(" ").slice(0, 2000).join(" "));
const prompt = `The source text is a series of emails that have been put into a single file. They are separated by three dashes. Review the source text and determine the full address of the person sending each of the emails as well as any events that we need to track. If they provide a company address use that. If any extra info is provided, such as a description of the place, or a floor, add it to extraInfo. The first field in the address JSON is quantity of events and should be set to the number of events tracked and the second field should be set to the number of addresses tracked in the file. Don't stuff an event into the output that isn't an event. Only add data to the mostly appropriate field. Don't make up fields that aren't in the schema. If there isn't a value for a field, use null. Output should be in JSON.\n\nSchema: \n${JSON.stringify(schema, null, 2)}\n\nSource Text:\n${textcontent}`
await ollama.setModel("neural-chat");
ollama.setSystemPrompt(systemprompt);
ollama.setJSONFormat(true);
const data = await ollama.generate(prompt);
const output = JSON.parse(data.output);
const events = output.events;
const addresses = output.people;
console.log(`Here are your ${output.eventsQuantity} events:`);
for (const event of events) {
reportEvents(event.name, event.date, event.location);
}
console.log(`\n\nHere are your ${output.addressesQuantity} addresses:`);
for (const address of addresses) {
reportAddresses(address);
}
}
main();
\ No newline at end of file
examples/typescript-functioncalling/extractwp.ts 0 → 100644
View file @ ecd2f176
import { Ollama } from "ollama-node";
import { readFile } from "fs/promises";
async function main() {
const ollama = new Ollama();
// Set the system prompt to prepare the model to receive a prompt and a schema and set some rules for the output.
const systemprompt = `You will be given a text along with a prompt and a schema. You will have to extract the information requested in the prompt from the text and generate output in JSON observing the schema provided. If the schema shows a type of integer or number, you must only show a integer for that field. A string should always be a valid string. If a value is unknown, leave it empty. Output the JSON with extra spaces to ensure that it pretty prints.`
const schema = {
"people": [{
"name": {
"type": "string",
"description": "Name of the person"
},
"title": {
"type": "string",
"description": "Title of the person"
}
}],
}
// Depending on the model chosen, you may be limited by the size of the context window, so limit the context to 2000 words.
const textcontent = await readFile("./wp.txt", "utf-8").then((text) => text.split(" ").slice(0, 2000).join(" "));
// Specific instructions for this task
const prompt = `Review the source text and determine the 10 most important people to focus on. Then extract the name and title for those people. Output should be in JSON.\n\nSchema: \n${JSON.stringify(schema, null, 2)}\n\nSource Text:\n${textcontent}`
await ollama.setModel("neural-chat");
ollama.setSystemPrompt(systemprompt);
// setJSONFormat is the equivalent of setting 'format: json' in the API
ollama.setJSONFormat(true);
await ollama.streamingGenerate(prompt, (word) => { process.stdout.write(word) })
}
main();
\ No newline at end of file
examples/typescript-functioncalling/info.txt 0 → 100644
View file @ ecd2f176
---
Hi matt,
thanks for letting me know that you are going to come today, November 16, for my tea party. My address is 123 Falk St on Bainbridge Island. I live in the house with the red door. I will be home all day so just come by whenever you want.
Fred
---
Great, send the check to our office at 1917 1st St, Seattle, WA 98101. I will let you know when we receive it.
Mark Richardson
Big Corp
---
We are looking forward to seeing you at our Local AI Meetup. It will be held on December 3. It will be at the offices of Enormous Co. Our address is 344 1st Ave, Seattle, WA 98101. We will be meeting in the conference room on the 3rd floor.
Barbara Reilly
Enormous Co.
\ No newline at end of file
examples/typescript-functioncalling/package-lock.json 0 → 100644
View file @ ecd2f176
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examples/typescript-functioncalling/package.json 0 → 100644
View file @ ecd2f176
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}
examples/typescript-functioncalling/readme.md 0 → 100644
View file @ ecd2f176
# Function calling
![function calling 2023-11-16 16_12_58](https://github.com/ollama/ollama/assets/633681/a0acc247-9746-45ab-b325-b65dfbbee4fb)
One of the features added to some models is 'function calling'. It's a bit of a confusing name. It's understandable if you think that means the model can call functions, but that's not what it means. Function calling simply means that the output of the model is formatted in JSON, using a preconfigured schema, and uses the expected types. Then your code can use the output of the model and call functions with it. Using the JSON format in Ollama, you can use any model for function calling.
The two examples provided can extract information out of the provided texts. The first example uses the first couple of chapters from War and Peace by Lev Nikolayevich Tolstoy, and extracts the names and titles of the characters introduced in the story. The second example uses a more complicated schema to pull out addresses and event information from a series of emails.
## Running the examples
1. Clone this repo and navigate to the `examples/typescript-functioncalling` directory.
2. Install the dependencies with `npm install`.
3. Review the `wp.txt` file.
4. Run `tsx extractwp.ts`.
5. Review the `info.txt` file.
6. Run `tsx extractemail.ts`.
## Review the Code
Both examples do roughly the same thing with different source material. They both use the same system prompt, which tells the model to expect some instructions and a schema. Then we inject the schema into the prompt and generate an answer.
The first example, `extractwp.ts`, outputs the resulting JSON to the console, listing the characters introduced at the start of War and Peace. The second example, `extractemail.ts`, is a bit more complicated, extracting two different types of information: addresses and events. It outputs the results to a JSON blob, then the addresses are handed off to one function called `reportAddresses` and the events are handed off to another function called `reportEvents`.
Notice that both examples are using the model from Intel called `neural-chat`. This is not a model tuned for function calling, yet it performs very well at this task.
## Next Steps
Try exporting some of your real emails to the input file and seeing how well the model does. Try pointing the first example at other books. You could even have it cycle through all the sections and maybe add up the number of times any character is seen throughout the book, determining the most important characters. You can also try out different models.
examples/typescript-functioncalling/wp.txt 0 → 100644
View file @ ecd2f176
"Well, Prince, so Genoa and Lucca are now just family estates of the Buonapartes. But I warn you, if you don't tell me that this means war, if you still try to defend the infamies and horrors perpetrated by that Antichrist - I really believe he is Antichrist - I will have nothing more to do with you and you are no longer my friend, no longer my 'faithful slave,' as you call yourself! But how do you do? I see I have frightened you - sit down and tell me all the news."
It was in July, 1805, and the speaker was the well-known Anna Pavlovna Scherer, maid of honor and favorite of the Empress Marya Fedorovna. With these words she greeted Prince Vasili Kuragin, a man of high rank and importance, who was the first to arrive at her reception. Anna Pavlovna had had a cough for some days. She was, as she said, suffering from la grippe; grippe being then a new word in St. Petersburg, used only by the elite.
All her invitations without exception, written in French, and delivered by a scarlet-liveried footman that morning, ran as follows:
"If you have nothing better to do, Count (or Prince), and if the prospect of spending an evening with a poor invalid is not too terrible, I shall be very charmed to see you tonight between 7 and 10 - Annette Scherer."
"Heavens! what a virulent attack!" replied the prince, not in the least disconcerted by this reception. He had just entered, wearing an embroidered court uniform, knee breeches, and shoes, and had stars on his breast and a serene expression on his flat face. He spoke in that refined French in which our grandfathers not only spoke but thought, and with the gentle, patronizing intonation natural to a man of importance who had grown old in society and at court. He went up to Anna Pavlovna, kissed her hand, presenting to her his bald, scented, and shining head, and complacently seated himself on the sofa.
"First of all, dear friend, tell me how you are. Set your friend's mind at rest," said he without altering his tone, beneath the politeness and affected sympathy of which indifference and even irony could be discerned.
"Can one be well while suffering morally? Can one be calm in times like these if one has any feeling?" said Anna Pavlovna. "You are staying the whole evening, I hope?"
"And the fete at the English ambassador's? Today is Wednesday. I must put in an appearance there," said the prince. "My daughter is coming for me to take me there."
"I thought today's fete had been canceled. I confess all these festivities and fireworks are becoming wearisome."
"If they had known that you wished it, the entertainment would have been put off," said the prince, who, like a wound-up clock, by force of habit said things he did not even wish to be believed.
"Don't tease! Well, and what has been decided about Novosiltsev's dispatch? You know everything."
"What can one say about it?" replied the prince in a cold, listless tone. "What has been decided? They have decided that Buonaparte has burnt his boats, and I believe that we are ready to burn ours."
Prince Vasili always spoke languidly, like an actor repeating a stale part. Anna Pavlovna Scherer on the contrary, despite her forty years, overflowed with animation and impulsiveness. To be an enthusiast had become her social vocation and, sometimes even when she did not feel like it, she became enthusiastic in order not to disappoint the expectations of those who knew her. The subdued smile which, though it did not suit her faded features, always played round her lips expressed, as in a spoiled child, a continual consciousness of her charming defect, which she neither wished, nor could, nor considered it necessary, to correct.
In the midst of a conversation on political matters Anna Pavlovna burst out:
"Oh, don't speak to me of Austria. Perhaps I don't understand things, but Austria never has wished, and does not wish, for war. She is betraying us! Russia alone must save Europe. Our gracious sovereign recognizes his high vocation and will be true to it. That is the one thing I have faith in! Our good and wonderful sovereign has to perform the noblest role on earth, and he is so virtuous and noble that God will not forsake him. He will fulfill his vocation and crush the hydra of revolution, which has become more terrible than ever in the person of this murderer and villain! We alone must avenge the blood of the just one.... Whom, I ask you, can we rely on?... England with her commercial spirit will not and cannot understand the Emperor Alexander's loftiness of soul. She has refused to evacuate Malta. She wanted to find, and still seeks, some secret motive in our actions. What answer did Novosiltsev get? None. The English have not understood and cannot understand the self-abnegation of our Emperor who wants nothing for himself, but only desires the good of mankind. And what have they promised? Nothing! And what little they have promised they will not perform! Prussia has always declared that Buonaparte is invincible, and that all Europe is powerless before him.... And I don't believe a word that Hardenburg says, or Haugwitz either. This famous Prussian neutrality is just a trap. I have faith only in God and the lofty destiny of our adored monarch. He will save Europe!"
She suddenly paused, smiling at her own impetuosity.
"I think," said the prince with a smile, "that if you had been sent instead of our dear Wintzingerode you would have captured the King of Prussia's consent by assault. You are so eloquent. Will you give me a cup of tea?"
"In a moment. A propos," she added, becoming calm again, "I am expecting two very interesting men tonight, le Vicomte de Mortemart, who is connected with the Montmorencys through the Rohans, one of the best French families. He is one of the genuine emigres, the good ones. And also the Abbe Morio. Do you know that profound thinker? He has been received by the Emperor. Had you heard?"
"I shall be delighted to meet them," said the prince. "But tell me," he added with studied carelessness as if it had only just occurred to him, though the question he was about to ask was the chief motive of his visit, "is it true that the Dowager Empress wants Baron Funke to be appointed first secretary at Vienna? The baron by all accounts is a poor creature."
Prince Vasili wished to obtain this post for his son, but others were trying through the Dowager Empress Marya Fedorovna to secure it for the baron.
Anna Pavlovna almost closed her eyes to indicate that neither she nor anyone else had a right to criticize what the Empress desired or was pleased with.
"Baron Funke has been recommended to the Dowager Empress by her sister," was all she said, in a dry and mournful tone.
As she named the Empress, Anna Pavlovna's face suddenly assumed an expression of profound and sincere devotion and respect mingled with sadness, and this occurred every time she mentioned her illustrious patroness. She added that Her Majesty had deigned to show Baron Funke beaucoup d'estime, and again her face clouded over with sadness.
The prince was silent and looked indifferent. But, with the womanly and courtierlike quickness and tact habitual to her, Anna Pavlovna wished both to rebuke him (for daring to speak as he had done of a man recommended to the Empress) and at the same time to console him, so she said:
"Now about your family. Do you know that since your daughter came out everyone has been enraptured by her? They say she is amazingly beautiful."
The prince bowed to signify his respect and gratitude.
"I often think," she continued after a short pause, drawing nearer to the prince and smiling amiably at him as if to show that political and social topics were ended and the time had come for intimate conversation - "I often think how unfairly sometimes the joys of life are distributed. Why has fate given you two such splendid children? I don't speak of Anatole, your youngest. I don't like him," she added in a tone admitting of no rejoinder and raising her eyebrows. "Two such charming children. And really you appreciate them less than anyone, and so you don't deserve to have them."
And she smiled her ecstatic smile.
"I can't help it," said the prince. "Lavater would have said I lack the bump of paternity."
"Don't joke; I mean to have a serious talk with you. Do you know I am dissatisfied with your younger son? Between ourselves" (and her face assumed its melancholy expression), "he was mentioned at Her Majesty's and you were pitied...."
The prince answered nothing, but she looked at him significantly, awaiting a reply. He frowned.
"What would you have me do?" he said at last. "You know I did all a father could for their education, and they have both turned out fools. Hippolyte is at least a quiet fool, but Anatole is an active one. That is the only difference between them." He said this smiling in a way more natural and animated than usual, so that the wrinkles round his mouth very clearly revealed something unexpectedly coarse and unpleasant.
"And why are children born to such men as you? If you were not a father there would be nothing I could reproach you with," said Anna Pavlovna, looking up pensively.
"I am your faithful slave and to you alone I can confess that my children are the bane of my life. It is the cross I have to bear. That is how I explain it to myself. It can't be helped!"
He said no more, but expressed his resignation to cruel fate by a gesture. Anna Pavlovna meditated.
"Have you never thought of marrying your prodigal son Anatole?" she asked. "They say old maids have a mania for matchmaking, and though I don't feel that weakness in myself as yet, I know a little person who is very unhappy with her father. She is a relation of yours, Princess Mary Bolkonskaya."
Prince Vasili did not reply, though, with the quickness of memory and perception befitting a man of the world, he indicated by a movement of the head that he was considering this information.
"Do you know," he said at last, evidently unable to check the sad current of his thoughts, "that Anatole is costing me forty thousand rubles a year? And," he went on after a pause, "what will it be in five years, if he goes on like this?" Presently he added: "That's what we fathers have to put up with.... Is this princess of yours rich?"
"Her father is very rich and stingy. He lives in the country. He is the well-known Prince Bolkonski who had to retire from the army under the late Emperor, and was nicknamed 'the King of Prussia.' He is very clever but eccentric, and a bore. The poor girl is very unhappy. She has a brother; I think you know him, he married Lise Meinen lately. He is an aide-de-camp of Kutuzov's and will be here tonight."
"Listen, dear Annette," said the prince, suddenly taking Anna Pavlovna's hand and for some reason drawing it downwards. "Arrange that affair for me and I shall always be your most devoted slave-slafe with an f, as a village elder of mine writes in his reports. She is rich and of good family and that's all I want."
And with the familiarity and easy grace peculiar to him, he raised the maid of honor's hand to his lips, kissed it, and swung it to and fro as he lay back in his armchair, looking in another direction.
"Attendez," said Anna Pavlovna, reflecting, "I'll speak to Lise, young Bolkonski's wife, this very evening, and perhaps the thing can be arranged. It shall be on your family's behalf that I'll start my apprenticeship as old maid."
Anna Pavlovna's drawing room was gradually filling. The highest Petersburg society was assembled there: people differing widely in age and character but alike in the social circle to which they belonged. Prince Vasili's daughter, the beautiful Helene, came to take her father to the ambassador's entertainment; she wore a ball dress and her badge as maid of honor. The youthful little Princess Bolkonskaya, known as la femme la plus seduisante de Petersbourg, * was also there. She had been married during the previous winter, and being pregnant did not go to any large gatherings, but only to small receptions. Prince Vasili's son, Hippolyte, had come with Mortemart, whom he introduced. The Abbe Morio and many others had also come.
* The most fascinating woman in Petersburg.
To each new arrival Anna Pavlovna said, "You have not yet seen my aunt," or "You do not know my aunt?" and very gravely conducted him or her to a little old lady, wearing large bows of ribbon in her cap, who had come sailing in from another room as soon as the guests began to arrive; and slowly turning her eyes from the visitor to her aunt, Anna Pavlovna mentioned each one's name and then left them.
Each visitor performed the ceremony of greeting this old aunt whom not one of them knew, not one of them wanted to know, and not one of them cared about; Anna Pavlovna observed these greetings with mournful and solemn interest and silent approval. The aunt spoke to each of them in the same words, about their health and her own, and the health of Her Majesty, "who, thank God, was better today." And each visitor, though politeness prevented his showing impatience, left the old woman with a sense of relief at having performed a vexatious duty and did not return to her the whole evening.
The young Princess Bolkonskaya had brought some work in a gold-embroidered velvet bag. Her pretty little upper lip, on which a delicate dark down was just perceptible, was too short for her teeth, but it lifted all the more sweetly, and was especially charming when she occasionally drew it down to meet the lower lip. As is always the case with a thoroughly attractive woman, her defect - the shortness of her upper lip and her half-open mouth - seemed to be her own special and peculiar form of beauty. Everyone brightened at the sight of this pretty young woman, so soon to become a mother, so full of life and health, and carrying her burden so lightly. Old men and dull dispirited young ones who looked at her, after being in her company and talking to her a little while, felt as if they too were becoming, like her, full of life and health. All who talked to her, and at each word saw her bright smile and the constant gleam of her white teeth, thought that they were in a specially amiable mood that day.
The little princess went round the table with quick, short, swaying steps, her workbag on her arm, and gaily spreading out her dress sat down on a sofa near the silver samovar, as if all she was doing was a pleasure to herself and to all around her. "I have brought my work," said she in French, displaying her bag and addressing all present. "Mind, Annette, I hope you have not played a wicked trick on me," she added, turning to her hostess. "You wrote that it was to be quite a small reception, and just see how badly I am dressed." And she spread out her arms to show her short-waisted, lace-trimmed, dainty gray dress, girdled with a broad ribbon just below the breast.
"Soyez tranquille, Lise, you will always be prettier than anyone else," replied Anna Pavlovna.
"You know," said the princess in the same tone of voice and still in French, turning to a general, "my husband is deserting me? He is going to get himself killed. Tell me what this wretched war is for?" she added, addressing Prince Vasili, and without waiting for an answer she turned to speak to his daughter, the beautiful Helene.
"What a delightful woman this little princess is!" said Prince Vasili to Anna Pavlovna.
One of the next arrivals was a stout, heavily built young man with close-cropped hair, spectacles, the light-colored breeches fashionable at that time, a very high ruffle, and a brown dress coat. This stout young man was an illegitimate son of Count Bezukhov, a well-known grandee of Catherine's time who now lay dying in Moscow. The young man had not yet entered either the military or civil service, as he had only just returned from abroad where he had been educated, and this was his first appearance in society. Anna Pavlovna greeted him with the nod she accorded to the lowest hierarchy in her drawing room. But in spite of this lowest-grade greeting, a look of anxiety and fear, as at the sight of something too large and unsuited to the place, came over her face when she saw Pierre enter. Though he was certainly rather bigger than the other men in the room, her anxiety could only have reference to the clever though shy, but observant and natural, expression which distinguished him from everyone else in that drawing room.
"It is very good of you, Monsieur Pierre, to come and visit a poor invalid," said Anna Pavlovna, exchanging an alarmed glance with her aunt as she conducted him to her.
Pierre murmured something unintelligible, and continued to look round as if in search of something. On his way to the aunt he bowed to the little princess with a pleased smile, as to an intimate acquaintance.
Anna Pavlovna's alarm was justified, for Pierre turned away from the aunt without waiting to hear her speech about Her Majesty's health. Anna Pavlovna in dismay detained him with the words: "Do you know the Abbe Morio? He is a most interesting man."
"Yes, I have heard of his scheme for perpetual peace, and it is very interesting but hardly feasible."
"You think so?" rejoined Anna Pavlovna in order to say something and get away to attend to her duties as hostess. But Pierre now committed a reverse act of impoliteness. First he had left a lady before she had finished speaking to him, and now he continued to speak to another who wished to get away. With his head bent, and his big feet spread apart, he began explaining his reasons for thinking the abbe's plan chimerical.
"We will talk of it later," said Anna Pavlovna with a smile.
And having got rid of this young man who did not know how to behave, she resumed her duties as hostess and continued to listen and watch, ready to help at any point where the conversation might happen to flag. As the foreman of a spinning mill, when he has set the hands to work, goes round and notices here a spindle that has stopped or there one that creaks or makes more noise than it should, and hastens to check the machine or set it in proper motion, so Anna Pavlovna moved about her drawing room, approaching now a silent, now a too-noisy group, and by a word or slight rearrangement kept the conversational machine in steady, proper, and regular motion. But amid these cares her anxiety about Pierre was evident. She kept an anxious watch on him when he approached the group round Mortemart to listen to what was being said there, and again when he passed to another group whose center was the abbe.
Pierre had been educated abroad, and this reception at Anna Pavlovna's was the first he had attended in Russia. He knew that all the intellectual lights of Petersburg were gathered there and, like a child in a toyshop, did not know which way to look, afraid of missing any clever conversation that was to be heard. Seeing the self-confident and refined expression on the faces of those present he was always expecting to hear something very profound. At last he came up to Morio. Here the conversation seemed interesting and he stood waiting for an opportunity to express his own views, as young people are fond of doing.
CHAPTER III
Anna Pavlovna's reception was in full swing. The spindles hummed steadily and ceaselessly on all sides. With the exception of the aunt, beside whom sat only one elderly lady, who with her thin careworn face was rather out of place in this brilliant society, the whole company had settled into three groups. One, chiefly masculine, had formed round the abbe. Another, of young people, was grouped round the beautiful Princess Helene, Prince Vasili's daughter, and the little Princess Bolkonskaya, very pretty and rosy, though rather too plump for her age. The third group was gathered round Mortemart and Anna Pavlovna.
The vicomte was a nice-looking young man with soft features and polished manners, who evidently considered himself a celebrity but out of politeness modestly placed himself at the disposal of the circle in which he found himself. Anna Pavlovna was obviously serving him up as a treat to her guests. As a clever maitre d'hotel serves up as a specially choice delicacy a piece of meat that no one who had seen it in the kitchen would have cared to eat, so Anna Pavlovna served up to her guests, first the vicomte and then the abbe, as peculiarly choice morsels. The group about Mortemart immediately began discussing the murder of the Duc d'Enghien. The vicomte said that the Duc d'Enghien had perished by his own magnanimity, and that there were particular reasons for Buonaparte's hatred of him.
"Ah, yes! Do tell us all about it, Vicomte," said Anna Pavlovna, with a pleasant feeling that there was something A la Louis XV in the sound of that sentence: "Contez nous cela, Vicomte."
The vicomte bowed and smiled courteously in token of his willingness to comply. Anna Pavlovna arranged a group round him, inviting everyone to listen to his tale.
"The vicomte knew the duc personally," whispered Anna Pavlovna to one of the guests. "The vicomte is a wonderful raconteur," said she to another. "How evidently he belongs to the best society," said she to a third; and the vicomte was served up to the company in the choicest and most advantageous style, like a well-garnished joint of roast beef on a hot dish.
The vicomte wished to begin his story and gave a subtle smile.
"Come over here, Helene, dear," said Anna Pavlovna to the beautiful young princess who was sitting some way off, the center of another group.
The princess smiled. She rose with the same unchanging smile with which she had first entered the room - the smile of a perfectly beautiful woman. With a slight rustle of her white dress trimmed with moss and ivy, with a gleam of white shoulders, glossy hair, and sparkling diamonds, she passed between the men who made way for her, not looking at any of them but smiling on all, as if graciously allowing each the privilege of admiring her beautiful figure and shapely shoulders, back, and bosom - which in the fashion of those days were very much exposed - and she seemed to bring the glamour of a ballroom with her as she moved toward Anna Pavlovna. Helene was so lovely that not only did she not show any trace of coquetry, but on the contrary she even appeared shy of her unquestionable and all too victorious beauty. She seemed to wish, but to be unable, to diminish its effect.
"How lovely!" said everyone who saw her; and the vicomte lifted his shoulders and dropped his eyes as if startled by something extraordinary when she took her seat opposite and beamed upon him also with her unchanging smile.
"Madame, I doubt my ability before such an audience," said he, smilingly inclining his head.
The princess rested her bare round arm on a little table and considered a reply unnecessary. She smilingly waited. All the time the story was being told she sat upright, glancing now at her beautiful round arm, altered in shape by its pressure on the table, now at her still more beautiful bosom, on which she readjusted a diamond necklace. From time to time she smoothed the folds of her dress, and whenever the story produced an effect she glanced at Anna Pavlovna, at once adopted just the expression she saw on the maid of honor's face, and again relapsed into her radiant smile.
The little princess had also left the tea table and followed Helene.
"Wait a moment, I'll get my work.... Now then, what are you thinking of?" she went on, turning to Prince Hippolyte. "Fetch me my workbag."
There was a general movement as the princess, smiling and talking merrily to everyone at once, sat down and gaily arranged herself in her seat.
"Now I am all right," she said, and asking the vicomte to begin, she took up her work.
Prince Hippolyte, having brought the workbag, joined the circle and moving a chair close to hers seated himself beside her.
Le charmant Hippolyte was surprising by his extraordinary resemblance to his beautiful sister, but yet more by the fact that in spite of this resemblance he was exceedingly ugly. His features were like his sister's, but while in her case everything was lit up by a joyous, self-satisfied, youthful, and constant smile of animation, and by the wonderful classic beauty of her figure, his face on the contrary was dulled by imbecility and a constant expression of sullen self-confidence, while his body was thin and weak. His eyes, nose, and mouth all seemed puckered into a vacant, wearied grimace, and his arms and legs always fell into unnatural positions.
"It's not going to be a ghost story?" said he, sitting down beside the princess and hastily adjusting his lorgnette, as if without this instrument he could not begin to speak.
"Why no, my dear fellow," said the astonished narrator, shrugging his shoulders.
"Because I hate ghost stories," said Prince Hippolyte in a tone which showed that he only understood the meaning of his words after he had uttered them.
He spoke with such self-confidence that his hearers could not be sure whether what he said was very witty or very stupid. He was dressed in a dark-green dress coat, knee breeches of the color of cuisse de nymphe effrayee, as he called it, shoes, and silk stockings.
The vicomte told his tale very neatly. It was an anecdote, then current, to the effect that the Duc d'Enghien had gone secretly to Paris to visit Mademoiselle George; that at her house he came upon Bonaparte, who also enjoyed the famous actress' favors, and that in his presence Napoleon happened to fall into one of the fainting fits to which he was subject, and was thus at the duc's mercy. The latter spared him, and this magnanimity Bonaparte subsequently repaid by death.
The story was very pretty and interesting, especially at the point where the rivals suddenly recognized one another; and the ladies looked agitated.
"Charming!" said Anna Pavlovna with an inquiring glance at the little princess.
"Charming!" whispered the little princess, sticking the needle into her work as if to testify that the interest and fascination of the story prevented her from going on with it.
The vicomte appreciated this silent praise and smiling gratefully prepared to continue, but just then Anna Pavlovna, who had kept a watchful eye on the young man who so alarmed her, noticed that he was talking too loudly and vehemently with the abbe, so she hurried to the rescue. Pierre had managed to start a conversation with the abbe about the balance of power, and the latter, evidently interested by the young man's simple-minded eagerness, was explaining his pet theory. Both were talking and listening too eagerly and too naturally, which was why Anna Pavlovna disapproved.
"The means are ... the balance of power in Europe and the rights of the people," the abbe was saying. "It is only necessary for one powerful nation like Russia - barbaric as she is said to be - to place herself disinterestedly at the head of an alliance having for its object the maintenance of the balance of power of Europe, and it would save the world!"
"But how are you to get that balance?" Pierre was beginning.
At that moment Anna Pavlovna came up and, looking severely at Pierre, asked the Italian how he stood Russian climate. The Italian's face instantly changed and assumed an offensively affected, sugary expression, evidently habitual to him when conversing with women.
"I am so enchanted by the brilliancy of the wit and culture of the society, more especially of the feminine society, in which I have had the honor of being received, that I have not yet had time to think of the climate," said he.
Not letting the abbe and Pierre escape, Anna Pavlovna, the more conveniently to keep them under observation, brought them into the larger circle.
examples/typescript-mentors/.gitignore 0 → 100644
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node_modules
package-lock.json
examples/typescript-mentors/README.md 0 → 100644
View file @ ecd2f176
# Ask the Mentors
This example demonstrates how one would create a set of 'mentors' you can have a conversation with. The mentors are generated using the `character-generator.ts` file. This will use **Stable Beluga 70b** to create a bio and list of verbal ticks and common phrases used by each person. Then `mentors.ts` will take a question, and choose three of the 'mentors' and start a conversation with them. Occasionally, they will talk to each other, and other times they will just deliver a set of monologues. It's fun to see what they do and say.
## Usage
1. Add llama3 to have the mentors ask your questions:
```bash
ollama pull llama3
```
2. Install prerequisites:
```bash
npm install
```
3. Ask a question:
```bash
npm start "what is a jackalope"
```
You can also add your own character to be chosen at random when you ask a question.
1. Make sure you have the right model installed:
```bash
ollama pull stablebeluga2:70b-q4_K_M
```
2. Create a new character:
```bash
npm run charactergen "Lorne Greene"
```
You can choose any well-known person you like. This example will create `lornegreene/Modelfile`.
3. Now you can create a model with this command:
```bash
ollama create <username>/lornegreene -f lornegreene/Modelfile
```
`username` is whatever name you set up when you signed up at [https://ollama.com/signup](https://ollama.com/signup).
4. To add this to your mentors, you will have to update the code as follows. On line 8 of `mentors.ts`, add an object to the array, replacing `<username>` with the username you used above.
```bash
{ns: "<username>", char: "Lorne Greene"}
```
## Review the Code
There are two scripts you can run in this example. The first is the main script to ask the mentors a question. The other one lets you generate a character to add to the mentors. Both scripts are mostly about adjusting the prompts at each inference stage.
### mentors.ts
In the **main** function, it starts by generating a list of mentors. This chooses 3 from a list of interesting characters. Then we ask for a question, and then things get interesting. We set the prompt for each of the 3 mentors a little differently. And the 2nd and 3rd mentors see what the previous folks said. The other functions in mentors sets the prompts for each mentor.
### character-generator.ts
**Character Generator** simply customizes the prompt to build a character profile for any famous person. And most of the script is just tweaking the prompt. This uses Stable Beluga 2 70b parameters. The 70b models tend to do better writing a bio about a character than smaller models, and Stable Beluga seemed to do better than Llama 2. Since this is used at development time for the characters, it doesn't affect the runtime of asking the mentors for their input.
examples/typescript-mentors/character-generator.ts 0 → 100644
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import { Ollama } from 'ollama-node'
import fs from 'fs';
import path from 'path';
async function characterGenerator() {
const character = process.argv[2];
console.log(`You are creating a character for ${character}.`);
const foldername = character.replace(/\s/g, '').toLowerCase();
const directory = path.join(__dirname, foldername);
if (!fs.existsSync(directory)) {
fs.mkdirSync(directory, { recursive: true });
}
const ollama = new Ollama();
ollama.setModel("stablebeluga2:70b-q4_K_M");
const bio = await ollama.generate(`create a bio of ${character} in a single long paragraph. Instead of saying '${character} is...' or '${character} was...' use language like 'You are...' or 'You were...'. Then create a paragraph describing the speaking mannerisms and style of ${character}. Don't include anything about how ${character} looked or what they sounded like, just focus on the words they said. Instead of saying '${character} would say...' use language like 'You should say...'. If you use quotes, always use single quotes instead of double quotes. If there are any specific words or phrases you used a lot, show how you used them. `);
const thecontents = `FROM llama3\nSYSTEM """\n${bio.response.replace(/(\r\n|\n|\r)/gm, " ").replace('would', 'should')} All answers to questions should be related back to what you are most known for.\n"""`;
fs.writeFile(path.join(directory, 'Modelfile'), thecontents, (err: any) => {
if (err) throw err;
console.log('The file has been saved!');
});
}
characterGenerator();
examples/typescript-mentors/mentors.ts 0 → 100644
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import { Ollama } from 'ollama-node';
const mentorCount = 3;
const ollama = new Ollama();
type Mentor = { ns: string, char: string };
function getMentors(): Mentor[] {
const mentors = [{ ns: 'mattw', char: 'Gary Vaynerchuk' }, { ns: 'mattw', char: 'Kanye West'}, {ns: 'mattw', char: 'Martha Stewart'}, {ns: 'mattw', char: 'Neil deGrasse Tyson'}, {ns: 'mattw', char: 'Owen Wilson'}, {ns: 'mattw', char: 'Ronald Reagan'}, {ns: 'mattw', char: 'Donald Trump'}, {ns: 'mattw', char: 'Barack Obama'}, {ns: 'mattw', char: 'Jeff Bezos'}];
const chosenMentors: Mentor[] = [];
for (let i = 0; i < mentorCount; i++) {
const mentor = mentors[Math.floor(Math.random() * mentors.length)];
chosenMentors.push(mentor);
mentors.splice(mentors.indexOf(mentor), 1);
}
return chosenMentors;
}
function getMentorFileName(mentor: Mentor): string {
const model = mentor.char.toLowerCase().replace(/\s/g, '');
return `${mentor.ns}/${model}`;
}
async function getSystemPrompt(mentor: Mentor, isLast: boolean, question: string): Promise<string> {
ollama.setModel(getMentorFileName(mentor));
const info = await ollama.showModelInfo()
let SystemPrompt = info.system || '';
SystemPrompt += ` You should continue the conversation as if you were ${mentor} and acknowledge the people before you in the conversation. You should adopt their mannerisms and tone, but also not use language they wouldn't use. If they are not known to know about the concept in the question, don't offer an answer. Your answer should be no longer than 1 paragraph. And definitely try not to sound like anyone else. Don't repeat any slang or phrases already used. And if it is a question the original ${mentor} wouldn't have know the answer to, just say that you don't know, in the style of ${mentor}. And think about the time the person lived. Don't use terminology that they wouldn't have used.`
if (isLast) {
SystemPrompt += ` End your answer with something like I hope our answers help you out`;
} else {
SystemPrompt += ` Remember, this is a conversation, so you don't need a conclusion, but end your answer with a question related to the first question: "${question}".`;
}
return SystemPrompt;
}
async function main() {
const mentors = getMentors();
const question = process.argv[2];
let theConversation = `Here is the conversation so far.\nYou: ${question}\n`
for await (const mentor of mentors) {
const SystemPrompt = await getSystemPrompt(mentor, mentor === mentors[mentorCount - 1], question);
ollama.setModel(getMentorFileName(mentor));
ollama.setSystemPrompt(SystemPrompt);
let output = '';
process.stdout.write(`\n${mentor.char}: `);
for await (const chunk of ollama.streamingGenerate(theConversation + `Continue the conversation as if you were ${mentor.char} on the question "${question}".`)) {
if (chunk.response) {
output += chunk.response;
process.stdout.write(chunk.response);
} else {
process.stdout.write('\n');
}
}
theConversation += `${mentor.char}: ${output}\n\n`
}
}
main();
\ No newline at end of file
examples/typescript-mentors/package.json 0 → 100644
View file @ ecd2f176
{
"scripts": {
"charactergen": "tsx character-generator.ts",
"start": "tsx mentors.ts"
},
"dependencies": {
"fs": "^0.0.1-security",
"ollama-node": "^0.0.3",
"path": "^0.12.7"
},
"devDependencies": {
"tsx": "^4.6.2",
"typescript": "^5.3.3"
}
}
examples/typescript-simplechat/client.ts 0 → 100644
View file @ ecd2f176
import * as readline from "readline";
const model = "llama3";
type Message = {
role: "assistant" | "user" | "system";
content: string;
}
const messages: Message[] = [{
role: "system",
content: "You are a helpful AI agent."
}]
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
})
async function chat(messages: Message[]): Promise<Message> {
const body = {
model: model,
messages: messages
}
const response = await fetch("http://localhost:11434/api/chat", {
method: "POST",
body: JSON.stringify(body)
})
const reader = response.body?.getReader()
if (!reader) {
throw new Error("Failed to read response body")
}
let content = ""
while (true) {
const { done, value } = await reader.read()
if (done) {
break;
}
const rawjson = new TextDecoder().decode(value);
const json = JSON.parse(rawjson)
if (json.done === false) {
process.stdout.write(json.message.content);
content += json.message.content
}
}
return { role: "assistant", content: content };
}
async function askQuestion(): Promise<void> {
return new Promise<void>((resolve) => {
rl.question("\n\nAsk a question: (press enter alone to quit)\n\n", async (user_input) => {
if (user_input.trim() === "") {
rl.close();
console.log("Thankyou. Goodbye.\n")
console.log("=======\nHere is the message history that was used in this conversation.\n=======\n")
messages.forEach(message => {
console.log(message)
})
resolve();
} else {
console.log();
messages.push({ role: "user", content: user_input });
messages.push(await chat(messages));
await askQuestion(); // Ask the next question
}
});
});
}
async function main() {
await askQuestion();
}
main();
examples/typescript-simplechat/package.json 0 → 100644
View file @ ecd2f176
{
"scripts": {
"start": "tsx client.ts"
},
"dependencies": {
"@types/node": "^20.10.4",
"prompt-sync": "^4.2.0",
"readline": "^1.3.0",
"tsx": "^4.6.2",
"typescript": "^5.3.3"
}
}
\ No newline at end of file
examples/typescript-simplechat/readme.md 0 → 100644
View file @ ecd2f176
# Simple Chat Example
The **chat** endpoint, available as of v0.1.14, is one of two ways to generate text from an LLM with Ollama. At a high level, you provide the endpoint an array of message objects with a role and content specified. Then with each output and prompt, you add more messages, which builds up the history.
## Run the Example
`npm start`
## Review the Code
You can see in the **chat** function that is actually calling the endpoint is simply done with:
```typescript
const body = {
model: model,
messages: messages
}
const response = await fetch("http://localhost:11434/api/chat", {
method: "POST",
body: JSON.stringify(body)
})
```
With the **generate** endpoint, you need to provide a `prompt`. But with **chat**, you provide `messages`. And the resulting stream of responses includes a `message` object with a `content` field.
The final JSON object doesn't provide the full content, so you will need to build the content yourself. In this example, **chat** takes the full array of messages and outputs the resulting message from this call of the chat endpoint.
In the **askQuestion** function, we collect `user_input` and add it as a message to our messages, and that is passed to the chat function. When the LLM is done responding, the output is added as another message to the messages array.
At the end, you will see a printout of all the messages.
## Next Steps
In this example, all generations are kept. You might want to experiment with summarizing everything older than 10 conversations to enable longer history with less context being used.
format/bytes.go 0 → 100644
View file @ ecd2f176
package format
import (
"fmt"
"math"
)
const (
Byte = 1
KiloByte = Byte * 1000
MegaByte = KiloByte * 1000
GigaByte = MegaByte * 1000
TeraByte = GigaByte * 1000
KibiByte = Byte * 1024
MebiByte = KibiByte * 1024
GibiByte = MebiByte * 1024
)
func HumanBytes(b int64) string {
var value float64
var unit string
switch {
case b >= TeraByte:
value = float64(b) / TeraByte
unit = "TB"
case b >= GigaByte:
value = float64(b) / GigaByte
unit = "GB"
case b >= MegaByte:
value = float64(b) / MegaByte
unit = "MB"
case b >= KiloByte:
value = float64(b) / KiloByte
unit = "KB"
default:
return fmt.Sprintf("%d B", b)
}
switch {
case value >= 100:
return fmt.Sprintf("%d %s", int(value), unit)
case value >= 10:
return fmt.Sprintf("%d %s", int(value), unit)
case value != math.Trunc(value):
return fmt.Sprintf("%.1f %s", value, unit)
default:
return fmt.Sprintf("%d %s", int(value), unit)
}
}
func HumanBytes2(b uint64) string {
switch {
case b >= GibiByte:
return fmt.Sprintf("%.1f GiB", float64(b)/GibiByte)
case b >= MebiByte:
return fmt.Sprintf("%.1f MiB", float64(b)/MebiByte)
case b >= KibiByte:
return fmt.Sprintf("%.1f KiB", float64(b)/KibiByte)
default:
return fmt.Sprintf("%d B", b)
}
}
format/format.go 0 → 100644
View file @ ecd2f176
package format
import (
"fmt"
"math"
)
const (
Thousand = 1000
Million = Thousand * 1000
Billion = Million * 1000
)
func HumanNumber(b uint64) string {
switch {
case b >= Billion:
number := float64(b) / Billion
if number == math.Floor(number) {
return fmt.Sprintf("%.0fB", number) // no decimals if whole number
}
return fmt.Sprintf("%.1fB", number) // one decimal if not a whole number
case b >= Million:
number := float64(b) / Million
if number == math.Floor(number) {
return fmt.Sprintf("%.0fM", number) // no decimals if whole number
}
return fmt.Sprintf("%.2fM", number) // two decimals if not a whole number
case b >= Thousand:
return fmt.Sprintf("%.0fK", float64(b)/Thousand)
default:
return fmt.Sprintf("%d", b)
}
}
format/format_test.go 0 → 100644
View file @ ecd2f176
package format
import (
"testing"
)
func TestHumanNumber(t *testing.T) {
type testCase struct {
input uint64
expected string
}
testCases := []testCase{
{0, "0"},
{1000000, "1M"},
{125000000, "125M"},
{500500000, "500.50M"},
{500550000, "500.55M"},
{1000000000, "1B"},
{2800000000, "2.8B"},
{2850000000, "2.9B"},
{1000000000000, "1000B"},
}
for _, tc := range testCases {
t.Run(tc.expected, func(t *testing.T) {
result := HumanNumber(tc.input)
if result != tc.expected {
t.Errorf("Expected %s, got %s", tc.expected, result)
}
})
}
}
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