feat: add model settings and prompt template from hf

cortex-js/src/command.module.ts

@@ -21,6 +21,7 @@ import { ModelRemoveCommand } from './infrastructure/commanders/models/model-rem
 import { RunCommand } from './infrastructure/commanders/shortcuts/run.command';
 import { InitCudaQuestions } from './infrastructure/commanders/questions/cuda.questions';
 import { CliUsecasesModule } from './infrastructure/commanders/usecases/cli.usecases.module';
+import { ModelUpdateCommand } from './infrastructure/commanders/models/model-update.command';
 
 @Module({
   imports: [
@@ -55,6 +56,7 @@ import { CliUsecasesModule } from './infrastructure/commanders/usecases/cli.usec
     ModelGetCommand,
     ModelRemoveCommand,
     ModelPullCommand,
+    ModelUpdateCommand,
 
     // Shortcuts
     RunCommand,

cortex-js/src/infrastructure/commanders/chat.command.ts

@@ -32,7 +32,7 @@ export class ChatCommand extends CommandRunner {
   }
 
   @Option({
-    flags: '--model <model_id>',
+    flags: '-m, --model <model_id>',
     description: 'Model Id to start chat with',
   })
   parseModelId(value: string) {

cortex-js/src/infrastructure/commanders/models.command.ts

@@ -5,6 +5,7 @@ import { ModelListCommand } from './models/model-list.command';
 import { ModelStopCommand } from './models/model-stop.command';
 import { ModelPullCommand } from './models/model-pull.command';
 import { ModelRemoveCommand } from './models/model-remove.command';
+import { ModelUpdateCommand } from './models/model-update.command';
 
 @SubCommand({
   name: 'models',
@@ -15,6 +16,7 @@ import { ModelRemoveCommand } from './models/model-remove.command';
     ModelListCommand,
     ModelGetCommand,
     ModelRemoveCommand,
+    ModelUpdateCommand,
   ],
   description: 'Subcommands for managing models',
 })

cortex-js/src/infrastructure/commanders/models/model-update.command.ts

@@ -0,0 +1,90 @@
+import { CommandRunner, SubCommand, Option } from 'nest-commander';
+import { ModelsCliUsecases } from '../usecases/models.cli.usecases';
+import { exit } from 'node:process';
+import { ModelParameterParser } from '../utils/model-parameter.parser';
+import {
+  ModelRuntimeParams,
+  ModelSettingParams,
+} from '@/domain/models/model.interface';
+
+type UpdateOptions = {
+  model?: string;
+  options?: string[];
+};
+
+@SubCommand({ name: 'update', description: 'Update configuration of a model.' })
+export class ModelUpdateCommand extends CommandRunner {
+  constructor(private readonly modelsCliUsecases: ModelsCliUsecases) {
+    super();
+  }
+
+  async run(_input: string[], option: UpdateOptions): Promise<void> {
+    const modelId = option.model;
+    if (!modelId) {
+      console.error('Model Id is required');
+      exit(1);
+    }
+
+    const options = option.options;
+    if (!options || options.length === 0) {
+      console.log('Nothing to update');
+      exit(0);
+    }
+
+    const parser = new ModelParameterParser();
+    const settingParams: ModelSettingParams = {};
+    const runtimeParams: ModelRuntimeParams = {};
+
+    options.forEach((option) => {
+      const [key, stringValue] = option.split('=');
+      if (parser.isModelSettingParam(key)) {
+        const value = parser.parse(key, stringValue);
+        // @ts-expect-error did the check so it's safe
+        settingParams[key] = value;
+      } else if (parser.isModelRuntimeParam(key)) {
+        const value = parser.parse(key, stringValue);
+        // @ts-expect-error did the check so it's safe
+        runtimeParams[key] = value;
+      }
+    });
+
+    if (Object.keys(settingParams).length > 0) {
+      const updatedSettingParams =
+        await this.modelsCliUsecases.updateModelSettingParams(
+          modelId,
+          settingParams,
+        );
+      console.log(
+        'Updated setting params! New setting params:',
+        updatedSettingParams,
+      );
+    }
+
+    if (Object.keys(runtimeParams).length > 0) {
+      await this.modelsCliUsecases.updateModelRuntimeParams(
+        modelId,
+        runtimeParams,
+      );
+      console.log('Updated runtime params! New runtime params:', runtimeParams);
+    }
+  }
+
+  @Option({
+    flags: '-m, --model <model_id>',
+    required: true,
+    description: 'Model Id to update',
+  })
+  parseModelId(value: string) {
+    return value;
+  }
+
+  @Option({
+    flags: '-c, --options <options...>',
+    description:
+      'Specify the options to update the model. Syntax: -c option1=value1 option2=value2. For example: cortex models update -c max_tokens=100 temperature=0.5',
+  })
+  parseOptions(option: string, optionsAccumulator: string[] = []): string[] {
+    optionsAccumulator.push(option);
+    return optionsAccumulator;
+  }
+}

cortex-js/src/infrastructure/commanders/prompt-constants.ts

@@ -0,0 +1,37 @@
+//// HF Chat template
+export const OPEN_CHAT_3_5_JINJA = ``;
+
+export const ZEPHYR_JINJA = `{% for message in messages %}
+{% if message['role'] == 'user' %}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'system' %}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'assistant' %}
+{{ '<|assistant|>
+'  + message['content'] + eos_token }}
+{% endif %}
+{% if loop.last and add_generation_prompt %}
+{{ '<|assistant|>' }}
+{% endif %}
+{% endfor %}`;
+
+//// Corresponding prompt template
+export const OPEN_CHAT_3_5 = `GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:`;
+
+export const ZEPHYR = `<|system|>
+{system_message}</s>
+<|user|>
+{prompt}</s>
+<|assistant|>
+`;
+
+export const COMMAND_R = `<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{system}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{prompt}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{response}
+`;
+
+// getting from https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGUF
+export const LLAMA_2 = `[INST] <<SYS>>
+{system_message}
+<</SYS>>
+{prompt}[/INST]`;

cortex-js/src/infrastructure/commanders/shortcuts/run.command.ts

@@ -4,6 +4,7 @@ import { CommandRunner, SubCommand, Option } from 'nest-commander';
 import { exit } from 'node:process';
 import { ChatUsecases } from '@/usecases/chat/chat.usecases';
 import { ChatCliUsecases } from '../usecases/chat.cli.usecases';
+import { defaultCortexCppHost, defaultCortexCppPort } from 'constant';
 
 type RunOptions = {
   model?: string;
@@ -29,7 +30,11 @@ export class RunCommand extends CommandRunner {
       exit(1);
     }
 
-    await this.cortexUsecases.startCortex();
+    await this.cortexUsecases.startCortex(
+      defaultCortexCppHost,
+      defaultCortexCppPort,
+      false,
+    );
     await this.modelsUsecases.startModel(modelId);
     const chatCliUsecases = new ChatCliUsecases(
       this.chatUsecases,
@@ -39,7 +44,7 @@ export class RunCommand extends CommandRunner {
   }
 
   @Option({
-    flags: '--model <model_id>',
+    flags: '-m, --model <model_id>',
     description: 'Model Id to start chat with',
   })
   parseModelId(value: string) {

cortex-js/src/infrastructure/commanders/usecases/models.cli.usecases.ts

@@ -1,12 +1,24 @@
 import { exit } from 'node:process';
 import { ModelsUsecases } from '@/usecases/models/models.usecases';
-import { Model, ModelFormat } from '@/domain/models/model.interface';
+import {
+  Model,
+  ModelFormat,
+  ModelRuntimeParams,
+  ModelSettingParams,
+} from '@/domain/models/model.interface';
 import { CreateModelDto } from '@/infrastructure/dtos/models/create-model.dto';
 import { HuggingFaceRepoData } from '@/domain/models/huggingface.interface';
 import { gguf } from '@huggingface/gguf';
 import { InquirerService } from 'nest-commander';
 import { Inject, Injectable } from '@nestjs/common';
 import { Presets, SingleBar } from 'cli-progress';
+import {
+  LLAMA_2,
+  OPEN_CHAT_3_5,
+  OPEN_CHAT_3_5_JINJA,
+  ZEPHYR,
+  ZEPHYR_JINJA,
+} from '../prompt-constants';
 
 const AllQuantizations = [
   'Q3_K_S',
@@ -49,6 +61,20 @@ export class ModelsCliUsecases {
     await this.modelsUsecases.stopModel(modelId);
   }
 
+  async updateModelSettingParams(
+    modelId: string,
+    settingParams: ModelSettingParams,
+  ): Promise<ModelSettingParams> {
+    return this.modelsUsecases.updateModelSettingParams(modelId, settingParams);
+  }
+
+  async updateModelRuntimeParams(
+    modelId: string,
+    runtimeParams: ModelRuntimeParams,
+  ): Promise<ModelRuntimeParams> {
+    return this.modelsUsecases.updateModelRuntimeParams(modelId, runtimeParams);
+  }
+
   private async getModelOrStop(modelId: string): Promise<Model> {
     const model = await this.modelsUsecases.findOne(modelId);
     if (!model) {
@@ -103,10 +129,16 @@ export class ModelsCliUsecases {
     if (!sibling) throw 'No expected quantization found';
 
     let stopWord = '';
+    let promptTemplate = LLAMA_2;
+
     try {
       const { metadata } = await gguf(sibling.downloadUrl!);
       // @ts-expect-error "tokenizer.ggml.eos_token_id"
       const index = metadata['tokenizer.ggml.eos_token_id'];
+      // @ts-expect-error "tokenizer.ggml.eos_token_id"
+      const hfChatTemplate = metadata['tokenizer.chat_template'];
+      promptTemplate = this.guessPromptTemplateFromHuggingFace(hfChatTemplate);
+
       // @ts-expect-error "tokenizer.ggml.tokens"
       stopWord = metadata['tokenizer.ggml.tokens'][index] ?? '';
     } catch (err) {
@@ -129,7 +161,9 @@ export class ModelsCliUsecases {
       version: '',
       format: ModelFormat.GGUF,
       description: '',
-      settings: {},
+      settings: {
+        prompt_template: promptTemplate,
+      },
       parameters: {
         stop: stopWords,
       },
@@ -144,6 +178,37 @@ export class ModelsCliUsecases {
       await this.modelsUsecases.create(model);
   }
 
+  // TODO: move this to somewhere else, should be reused by API as well. Maybe in a separate service / provider?
+  private guessPromptTemplateFromHuggingFace(jinjaCode?: string): string {
+    if (!jinjaCode) {
+      console.log('No jinja code provided. Returning default LLAMA_2');
+      return LLAMA_2;
+    }
+
+    if (typeof jinjaCode !== 'string') {
+      console.log(
+        `Invalid jinja code provided (type is ${typeof jinjaCode}). Returning default LLAMA_2`,
+      );
+      return LLAMA_2;
+    }
+
+    switch (jinjaCode) {
+      case ZEPHYR_JINJA:
+        return ZEPHYR;
+
+      case OPEN_CHAT_3_5_JINJA:
+        return OPEN_CHAT_3_5;
+
+      default:
+        console.log(
+          'Unknown jinja code:',
+          jinjaCode,
+          'Returning default LLAMA_2',
+        );
+        return LLAMA_2;
+    }
+  }
+
   private async fetchHuggingFaceRepoData(repoId: string) {
     const sanitizedUrl = this.toHuggingFaceUrl(repoId);