kbot testing

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# @plastichub/kbot
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AI-powered command-line tool for code modifications and project management that supports multiple AI models and routers.
##IEF2ZXJ3aWV3
## Overview
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Code-bot is a powerful CLI tool that helps developers automate code modifications, handle project management tasks, and integrate with various AI models for intelligent code and content assistance.
## Quick Start
### Installation Steps
KBot requires Node.js to run. It's recommended to use Node.js version 18 or higher.
1. Visit the official [Node.js website](https://nodejs.org/)
2. Download the LTS (Long Term Support) version for your operating system
3. Follow the installation wizard
4. Verify installation by opening a terminal and running:
```bash
node --version
npm --version
```
### API Keys
KBot supports both OpenRouter and OpenAI APIs. You'll need at least one of these set up.
#### OpenRouter API (Recommended)
1. Visit [OpenRouter](https://openrouter.ai/)
2. Sign up for an account
3. Navigate to the API Keys section
4. Create a new API key
#### OpenAI API (Optional)
1. Go to [OpenAI's platform](https://platform.openai.com/)
2. Create an account or sign in
3. Navigate to API keys section
4. Create a new secret key
### Installation using Node NPM package manager
```bash
npm install -g @plastichub/kbot
```mermaid
graph TD
Start[Start Process] --> Setup[Setup Options]
Setup --> Messages[Complete Messages]
Messages --> Params[Construct Parameters]
Params --> Request[Execute Request]
Request --> Result[Process Result]
```
## Configuration
##S2V5IE1vZHVsZXMK
### API Keys Setup
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Create configuration at `$HOME/.osr/.config.json` (or export OSR_CONFIG with path to config.json):
##IEFyY2hpdGVjdHVyZSBEaWFncmFt
```json
{
"openrouter": {
"key": "your-openrouter-key"
},
"openai": {
"key": "your-openai-key"
},
"email": {
"newsletter": {
"host": "host.org",
"port": 465,
"debug": true,
"transactionLog": true,
"auth": {
"user": "foo@bar.com",
"pass": "pass"
}
}
},
"google": {
"cse": "custom search engine id",
"api_key": "google custom search api key"
},
"serpapi": {
"key": "your SerpAPI key (optional, used for web searches(places, google maps))"
},
"deepseek": {
"key": "your SerpAPI key (optional, used for web searches(places, google maps))"
},
}
```mermaid
graph TD
CLI[CLI Interface] -->|Uses| Core[Core Engine]
Core -->|Manages| Options[Options Processor]
Core -->|Handles| Messages[Message Aggregator]
Core -->|Dispatches| Request[Request Executor]
```
### Preferences Setup
##IFVzYWdl
Optionally, create `.kbot/preferences.md` in your project directory to customize AI interactions:
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```markdown
## My Preferences
Gender : male
Location : New York, USA (eg: `send me all saunas next to me`)
Language : English
Occupation : software developer, Typescript
Age : 30+
## Contacts
My email address : example@email.com (eg: `send me latest hacker news`)
My wife's email address ("Anne") : example@email.com (eg: `send email to my wife, with latest local news')
## Content
When creating content
- always Markdown
- always add links
- when sending emails, always add 'Best regards, [Your Name]'
```
# Main Commands
The primary way to interact with `kbot` for processing tasks is by invoking it with a prompt and various options. While often used implicitly, this typically corresponds to the `run` command.
## Running Tasks
```bash
kbot run [options...] "Your prompt here..."
# or simply (if 'run' is the default):
kbot [options...] "Your prompt here..."
```
This command executes the main AI processing pipeline based on the provided prompt and options. Key aspects controlled by options include:
* **Input:** Specified via `--include` (files, directories, web URLs), `--path`.
* **Task:** Defined by the `--prompt`.
* **Behavior:** Controlled by `--mode` (e.g., `tools`, `completion`).
* **Output:** Directed using `--dst` or `--output`.
* **Model & API:** Configured with `--model`, `--router`, `--api_key`, etc.
Refer to [Parameters](./parameters.md) and [Modes](./modes.md) for detailed options.
## Utility Commands
Other potential utility commands might include:
* `kbot fetch`: Fetch updated information, such as the latest available models.
* `kbot init`: Initialize a directory or project for use with `kbot` (e.g., create default config files).
* `kbot help-md`: Generate extended help documentation in Markdown format.
* `kbot examples`: Show example usage patterns.
*(Note: Availability and exact behavior of utility commands may vary.)*
# Command Line Parameters
This document describes the command line parameters available for `kbot`.
**Note:** Many parameters support environment variable substitution (e.g., `${VAR_NAME}`).
## Core Parameters
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `prompt` | The main instruction or question for the AI. Can be a string, a file path (e.g., `file:./my_prompt.md`), or an environment variable. | - | Yes (or implied by context) |
| `model` | AI model ID to use for processing (e.g., `openai/gpt-4o`). See available models via helper functions or router documentation. | Depends on router/config | No |
| `router` | The API provider to use. | `openrouter` | No |
| `mode` | The operational mode. See [Modes](./modes.md) for details. | `tools` | No |
## Input & File Selection
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `path` | Target directory for local file operations or context. | `.` | No |
| `include` | Specify input files or content. Accepts comma-separated glob patterns (e.g., `src/**/*.ts`), file paths, directory paths, or **web URLs** (e.g., `https://example.com/page`). | `[]` | No |
| `query` | JSONPath query to extract specific data from input objects (often used with structured input files). | `null` | No |
## Output & Formatting
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `output` | Output path for modified files (primarily for `tools` mode operations like refactoring). | - | No |
| `dst` | Destination path/filename for the main result (primarily for `completion` or `assistant` mode). Supports `${MODEL_NAME}` and `${ROUTER}` substitutions. | - | No |
| `format` | Defines the desired structure for the AI's output. Can be a Zod schema object, a Zod schema string, a JSON schema string, or a path to a JSON schema file (e.g., `file:./schema.json`). Ensures the output conforms to the specified structure. | - | No |
| `filters` | Post-processing filters applied to the output (primarily `completion` mode with `--dst`). Can be a comma-separated string of filter names (e.g., `unwrapMarkdown,trim`). | `''` | No |
## Tool Usage
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `tools` | Comma-separated list of tool names or paths to custom tool files to enable. | (List of default tools) | No |
| `disable` | Comma-separated list of tool *categories* to disable (e.g., `filesystem,git`). | `[]` | No |
| `disableTools` | Comma-separated list of specific tool *names* to disable. | `[]` | No |
## Iteration & Advanced Control
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `each` | Iterate the task over multiple items. Accepts a GLOB pattern, path to a JSON file (array), or comma-separated strings. The current item is available as the `${ITEM}` variable in other parameters (e.g., `--dst="${ITEM}-output.md"`). Can be used to test different models (e.g., `--each="openai/gpt-3.5-turbo,openai/gpt-4o"`). | - | No |
| `variables` | Define custom key-value variables for use in prompts or other parameters (e.g., `--variables.PROJECT_NAME=MyProject`). Access via `${variableName}`. | `{}` | No |
## Configuration & Authentication
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `api_key` | Explicit API key for the selected router. Overrides keys from config files. | - | No |
| `baseURL` | Custom base URL for the API endpoint (e.g., for local LLMs via Ollama). Set automatically for known routers or can be specified directly. | - | No |
| `config` | Path to a JSON configuration file containing API keys and potentially other settings. | - | No |
| `profile` | Path to a profile file (JSON or .env format) for loading environment-specific variables. | - | No |
| `env` | Specifies the environment section to use within the profile file. | `default` | No |
| `preferences` | Path to a preferences file (e.g., containing user details like location, email). Used to provide context to the AI. | (System-specific default, often `~/.kbot/Preferences`) | No |
## Debugging & Logging
| Parameter | Description | Default | Required |
|-----------|-------------|---------|----------|
| `logLevel` | Logging verbosity level (e.g., 0=error, 4=debug). | `4` | No |
| `logs` | Directory to store log files and temporary outputs (like `params.json`). | `./logs` | No |
| `dry` | Perform a dry run: log parameters and configurations without executing the AI request. | `false` | No |
| `dump` | Path to generate a script file representing the current command invocation. | - | No |
# Advanced Topics
This section covers more advanced usage patterns and concepts.
## Processing Multiple Items (`--each`)
Instead of relying on external scripting for batch processing, `kbot` provides the built-in `--each` parameter. This allows you to iterate a task over multiple inputs efficiently.
**How it Works:**
The `--each` parameter accepts:
* A comma-separated list of strings (e.g., `--each="file1.txt,file2.txt"`).
* A file path to a JSON file containing an array of strings.
* A GLOB pattern matching multiple files (e.g., `--each="./src/**/*.ts"`).
* A list of model IDs to test a prompt against different models (e.g., `--each="openai/gpt-4o,anthropic/claude-3.5-sonnet"`).
**Using the `${ITEM}` Variable:**
Within the loop initiated by `--each`, the current item being processed is available as the `${ITEM}` variable. You can use this variable in other parameters, such as `--dst`, `--include`, or within the `--prompt` itself.
**Example: Generating Documentation for Multiple Files**
```bash
kbot --each "./src/modules/*.ts" \
--dst "./docs/api/${ITEM}.md" \
--prompt "Generate API documentation in Markdown format for the module defined in ${ITEM}"
```
This command will:
1. Find all `.ts` files in `./src/modules/`.
2. For each file (e.g., `moduleA.ts`):
* Set `${ITEM}` to the file path (`./src/modules/moduleA.ts`).
* Execute `kbot` with the prompt, including the specific file via `${ITEM}`.
* Save the output to `./docs/api/./src/modules/moduleA.ts.md` (Note: path handling might vary).
Refer to the [Examples](./examples.md#iterating-with---each) for more use cases.
## Choosing a Transformation Method: `transform` vs. `createIterator`
When transforming data structures (often JSON) using LLMs, you have two primary approaches:
1. **`transform` Helper Function:**
* **Pros:** Simple, minimal setup, good for basic field transformations.
* **Cons:** Less control over network, caching, logging details.
* **Use Case:** Quickly applying straightforward transformations to data fields without needing deep customization.
2. **`createIterator` Factory:**
* **Pros:** Full control over network options (retries, concurrency), caching (namespace, expiration), logging, custom transformer logic, and callbacks (`onTransform`, `onTransformed`).
* **Cons:** More verbose setup required.
* **Use Case:** Complex transformations requiring fine-tuned control over the entire process, advanced caching strategies, or integration with custom logging/transformation logic.
Consult the [Iterator Documentation](./iterator.md) for detailed explanations and code examples of both methods.
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"internal_reasoning": "0",
"input_cache_read": "0.0000003125",
"input_cache_write": "0"
},
"top_provider": {
"context_length": 1000000,
"max_completion_tokens": 65535,
"is_moderated": false
},
"per_request_limits": null
},
{
"id": "all-hands/openhands-lm-32b-v0.1",
"name": "OpenHands LM 32B V0.1",
@ -6579,7 +6709,7 @@
"name": "Meta: Llama 3.1 70B Instruct",
"created": 1721692800,
"description": "Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases.\n\nIt has demonstrated strong performance compared to leading closed-source models in human evaluations.\n\nTo read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).",
"context_length": 131072,
"context_length": 32768,
"architecture": {
"modality": "text->text",
"input_modalities": [
@ -6592,16 +6722,16 @@
"instruct_type": "llama3"
},
"pricing": {
"prompt": "0.00000012",
"completion": "0.00000028",
"prompt": "0.000000119",
"completion": "0.00000039",
"request": "0",
"image": "0",
"web_search": "0",
"internal_reasoning": "0"
},
"top_provider": {
"context_length": 131072,
"max_completion_tokens": 8192,
"context_length": 32768,
"max_completion_tokens": 32768,
"is_moderated": false
},
"per_request_limits": null
@ -7178,8 +7308,8 @@
"instruct_type": "mistral"
},
"pricing": {
"prompt": "0.00000003",
"completion": "0.000000055",
"prompt": "0.000000029",
"completion": "0.000000059",
"request": "0",
"image": "0",
"web_search": "0",
@ -7187,7 +7317,7 @@
},
"top_provider": {
"context_length": 32768,
"max_completion_tokens": 8192,
"max_completion_tokens": null,
"is_moderated": false
},
"per_request_limits": null
@ -7210,8 +7340,8 @@
"instruct_type": "mistral"
},
"pricing": {
"prompt": "0.00000004",
"completion": "0.000000055",
"prompt": "0.000000029",
"completion": "0.000000059",
"request": "0",
"image": "0",
"web_search": "0",
@ -7219,7 +7349,7 @@
},
"top_provider": {
"context_length": 32768,
"max_completion_tokens": 8192,
"max_completion_tokens": null,
"is_moderated": false
},
"per_request_limits": null

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@ -1,65 +1,73 @@
export declare enum E_OPENAI_MODEL {
MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-realtime-preview-2024-12-17",
MODEL_GPT_4O_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-audio-preview-2024-12-17",
MODEL_DALL_E_3 = "dall-e-3",
MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large",
MODEL_DALL_E_2 = "dall-e-2",
MODEL_O4_MINI_2025_04_16 = "o4-mini-2025-04-16",
MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01 = "gpt-4o-audio-preview-2024-10-01",
MODEL_O4_MINI = "o4-mini",
MODEL_GPT_4_1_NANO = "gpt-4.1-nano",
MODEL_GPT_4_1_NANO_2025_04_14 = "gpt-4.1-nano-2025-04-14",
MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01 = "gpt-4o-realtime-preview-2024-10-01",
MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe",
MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe",
MODEL_GPT_4O_REALTIME_PREVIEW = "gpt-4o-realtime-preview",
MODEL_BABBAGE_002 = "babbage-002",
MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts",
MODEL_GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview",
MODEL_TTS_1_HD_1106 = "tts-1-hd-1106",
MODEL_TEXT_EMBEDDING_3_LARGE = "text-embedding-3-large",
MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview",
MODEL_GPT_4 = "gpt-4",
MODEL_TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002",
MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest",
MODEL_TTS_1_HD = "tts-1-hd",
MODEL_GPT_4O_MINI_AUDIO_PREVIEW = "gpt-4o-mini-audio-preview",
MODEL_GPT_4O_AUDIO_PREVIEW = "gpt-4o-audio-preview",
MODEL_O1_PREVIEW_2024_09_12 = "o1-preview-2024-09-12",
MODEL_GPT_4O_MINI_REALTIME_PREVIEW = "gpt-4o-mini-realtime-preview",
MODEL_GPT_4_1_MINI = "gpt-4.1-mini",
MODEL_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-mini-realtime-preview-2024-12-17",
MODEL_GPT_3_5_TURBO_INSTRUCT_0914 = "gpt-3.5-turbo-instruct-0914",
MODEL_GPT_4O_MINI_SEARCH_PREVIEW = "gpt-4o-mini-search-preview",
MODEL_GPT_4_TURBO_PREVIEW = "gpt-4-turbo-preview",
MODEL_GPT_4_0125_PREVIEW = "gpt-4-0125-preview",
MODEL_GPT_4_1_MINI_2025_04_14 = "gpt-4.1-mini-2025-04-14",
MODEL_TTS_1_1106 = "tts-1-1106",
MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest",
MODEL_DAVINCI_002 = "davinci-002",
MODEL_GPT_3_5_TURBO_1106 = "gpt-3.5-turbo-1106",
MODEL_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview",
MODEL_GPT_4_TURBO = "gpt-4-turbo",
MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17 = "gpt-4o-realtime-preview-2024-12-17",
MODEL_GPT_3_5_TURBO_INSTRUCT = "gpt-3.5-turbo-instruct",
MODEL_GPT_3_5_TURBO = "gpt-3.5-turbo",
MODEL_CHATGPT_4O_LATEST = "chatgpt-4o-latest",
MODEL_GPT_4_1106_PREVIEW = "gpt-4-1106-preview",
MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-mini-search-preview-2025-03-11",
MODEL_GPT_4O_2024_11_20 = "gpt-4o-2024-11-20",
MODEL_WHISPER_1 = "whisper-1",
MODEL_GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125",
MODEL_GPT_4O_2024_05_13 = "gpt-4o-2024-05-13",
MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k",
MODEL_GPT_4_TURBO_2024_04_09 = "gpt-4-turbo-2024-04-09",
MODEL_GPT_4_1106_PREVIEW = "gpt-4-1106-preview",
MODEL_GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k",
MODEL_O1_PREVIEW = "o1-preview",
MODEL_GPT_4_0613 = "gpt-4-0613",
MODEL_GPT_4O_SEARCH_PREVIEW = "gpt-4o-search-preview",
MODEL_O1_2024_12_17 = "o1-2024-12-17",
MODEL_O1_PRO = "o1-pro",
MODEL_O1 = "o1",
MODEL_O1_PRO = "o1-pro",
MODEL_O1_PRO_2025_03_19 = "o1-pro-2025-03-19",
MODEL_GPT_4_5_PREVIEW = "gpt-4.5-preview",
MODEL_GPT_4_5_PREVIEW_2025_02_27 = "gpt-4.5-preview-2025-02-27",
MODEL_GPT_4O_SEARCH_PREVIEW_2025_03_11 = "gpt-4o-search-preview-2025-03-11",
MODEL_O3_MINI = "o3-mini",
MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31",
MODEL_TTS_1 = "tts-1",
MODEL_OMNI_MODERATION_2024_09_26 = "omni-moderation-2024-09-26",
MODEL_TEXT_EMBEDDING_3_SMALL = "text-embedding-3-small",
MODEL_GPT_4O_MINI_TTS = "gpt-4o-mini-tts",
MODEL_GPT_4O = "gpt-4o",
MODEL_O3_MINI = "o3-mini",
MODEL_O3_MINI_2025_01_31 = "o3-mini-2025-01-31",
MODEL_GPT_4O_MINI = "gpt-4o-mini",
MODEL_GPT_4O_2024_08_06 = "gpt-4o-2024-08-06",
MODEL_GPT_4_1 = "gpt-4.1",
MODEL_GPT_4O_TRANSCRIBE = "gpt-4o-transcribe",
MODEL_GPT_4_1_2025_04_14 = "gpt-4.1-2025-04-14",
MODEL_GPT_4O_MINI_2024_07_18 = "gpt-4o-mini-2024-07-18",
MODEL_GPT_4O_MINI_TRANSCRIBE = "gpt-4o-mini-transcribe",
MODEL_O1_MINI = "o1-mini",
MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17 = "gpt-4o-mini-audio-preview-2024-12-17",
MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12"
MODEL_GPT_3_5_TURBO_0125 = "gpt-3.5-turbo-0125",
MODEL_O1_MINI_2024_09_12 = "o1-mini-2024-09-12",
MODEL_OMNI_MODERATION_LATEST = "omni-moderation-latest"
}

View File

@ -1,67 +1,75 @@
export var E_OPENAI_MODEL;
(function (E_OPENAI_MODEL) {
E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-realtime-preview-2024-12-17";
E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-audio-preview-2024-12-17";
E_OPENAI_MODEL["MODEL_DALL_E_3"] = "dall-e-3";
E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_LARGE"] = "text-embedding-3-large";
E_OPENAI_MODEL["MODEL_DALL_E_2"] = "dall-e-2";
E_OPENAI_MODEL["MODEL_O4_MINI_2025_04_16"] = "o4-mini-2025-04-16";
E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW_2024_10_01"] = "gpt-4o-audio-preview-2024-10-01";
E_OPENAI_MODEL["MODEL_O4_MINI"] = "o4-mini";
E_OPENAI_MODEL["MODEL_GPT_4_1_NANO"] = "gpt-4.1-nano";
E_OPENAI_MODEL["MODEL_GPT_4_1_NANO_2025_04_14"] = "gpt-4.1-nano-2025-04-14";
E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_10_01"] = "gpt-4o-realtime-preview-2024-10-01";
E_OPENAI_MODEL["MODEL_GPT_4O_TRANSCRIBE"] = "gpt-4o-transcribe";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TRANSCRIBE"] = "gpt-4o-mini-transcribe";
E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW"] = "gpt-4o-realtime-preview";
E_OPENAI_MODEL["MODEL_BABBAGE_002"] = "babbage-002";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TTS"] = "gpt-4o-mini-tts";
E_OPENAI_MODEL["MODEL_GPT_4_TURBO_PREVIEW"] = "gpt-4-turbo-preview";
E_OPENAI_MODEL["MODEL_TTS_1_HD_1106"] = "tts-1-hd-1106";
E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_LARGE"] = "text-embedding-3-large";
E_OPENAI_MODEL["MODEL_GPT_4_0125_PREVIEW"] = "gpt-4-0125-preview";
E_OPENAI_MODEL["MODEL_GPT_4"] = "gpt-4";
E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_ADA_002"] = "text-embedding-ada-002";
E_OPENAI_MODEL["MODEL_OMNI_MODERATION_LATEST"] = "omni-moderation-latest";
E_OPENAI_MODEL["MODEL_TTS_1_HD"] = "tts-1-hd";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW"] = "gpt-4o-mini-audio-preview";
E_OPENAI_MODEL["MODEL_GPT_4O_AUDIO_PREVIEW"] = "gpt-4o-audio-preview";
E_OPENAI_MODEL["MODEL_O1_PREVIEW_2024_09_12"] = "o1-preview-2024-09-12";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW"] = "gpt-4o-mini-realtime-preview";
E_OPENAI_MODEL["MODEL_GPT_4_1_MINI"] = "gpt-4.1-mini";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-mini-realtime-preview-2024-12-17";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT_0914"] = "gpt-3.5-turbo-instruct-0914";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW"] = "gpt-4o-mini-search-preview";
E_OPENAI_MODEL["MODEL_GPT_4_TURBO_PREVIEW"] = "gpt-4-turbo-preview";
E_OPENAI_MODEL["MODEL_GPT_4_0125_PREVIEW"] = "gpt-4-0125-preview";
E_OPENAI_MODEL["MODEL_GPT_4_1_MINI_2025_04_14"] = "gpt-4.1-mini-2025-04-14";
E_OPENAI_MODEL["MODEL_TTS_1_1106"] = "tts-1-1106";
E_OPENAI_MODEL["MODEL_CHATGPT_4O_LATEST"] = "chatgpt-4o-latest";
E_OPENAI_MODEL["MODEL_DAVINCI_002"] = "davinci-002";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_1106"] = "gpt-3.5-turbo-1106";
E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW"] = "gpt-4o-search-preview";
E_OPENAI_MODEL["MODEL_GPT_4_TURBO"] = "gpt-4-turbo";
E_OPENAI_MODEL["MODEL_GPT_4O_REALTIME_PREVIEW_2024_12_17"] = "gpt-4o-realtime-preview-2024-12-17";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_INSTRUCT"] = "gpt-3.5-turbo-instruct";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO"] = "gpt-3.5-turbo";
E_OPENAI_MODEL["MODEL_CHATGPT_4O_LATEST"] = "chatgpt-4o-latest";
E_OPENAI_MODEL["MODEL_GPT_4_1106_PREVIEW"] = "gpt-4-1106-preview";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-mini-search-preview-2025-03-11";
E_OPENAI_MODEL["MODEL_GPT_4O_2024_11_20"] = "gpt-4o-2024-11-20";
E_OPENAI_MODEL["MODEL_WHISPER_1"] = "whisper-1";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_0125"] = "gpt-3.5-turbo-0125";
E_OPENAI_MODEL["MODEL_GPT_4O_2024_05_13"] = "gpt-4o-2024-05-13";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_16K"] = "gpt-3.5-turbo-16k";
E_OPENAI_MODEL["MODEL_GPT_4_TURBO_2024_04_09"] = "gpt-4-turbo-2024-04-09";
E_OPENAI_MODEL["MODEL_GPT_4_1106_PREVIEW"] = "gpt-4-1106-preview";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_16K"] = "gpt-3.5-turbo-16k";
E_OPENAI_MODEL["MODEL_O1_PREVIEW"] = "o1-preview";
E_OPENAI_MODEL["MODEL_GPT_4_0613"] = "gpt-4-0613";
E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW"] = "gpt-4o-search-preview";
E_OPENAI_MODEL["MODEL_O1_2024_12_17"] = "o1-2024-12-17";
E_OPENAI_MODEL["MODEL_O1_PRO"] = "o1-pro";
E_OPENAI_MODEL["MODEL_O1"] = "o1";
E_OPENAI_MODEL["MODEL_O1_PRO"] = "o1-pro";
E_OPENAI_MODEL["MODEL_O1_PRO_2025_03_19"] = "o1-pro-2025-03-19";
E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW"] = "gpt-4.5-preview";
E_OPENAI_MODEL["MODEL_GPT_4_5_PREVIEW_2025_02_27"] = "gpt-4.5-preview-2025-02-27";
E_OPENAI_MODEL["MODEL_GPT_4O_SEARCH_PREVIEW_2025_03_11"] = "gpt-4o-search-preview-2025-03-11";
E_OPENAI_MODEL["MODEL_O3_MINI"] = "o3-mini";
E_OPENAI_MODEL["MODEL_O3_MINI_2025_01_31"] = "o3-mini-2025-01-31";
E_OPENAI_MODEL["MODEL_TTS_1"] = "tts-1";
E_OPENAI_MODEL["MODEL_OMNI_MODERATION_2024_09_26"] = "omni-moderation-2024-09-26";
E_OPENAI_MODEL["MODEL_TEXT_EMBEDDING_3_SMALL"] = "text-embedding-3-small";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TTS"] = "gpt-4o-mini-tts";
E_OPENAI_MODEL["MODEL_GPT_4O"] = "gpt-4o";
E_OPENAI_MODEL["MODEL_O3_MINI"] = "o3-mini";
E_OPENAI_MODEL["MODEL_O3_MINI_2025_01_31"] = "o3-mini-2025-01-31";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI"] = "gpt-4o-mini";
E_OPENAI_MODEL["MODEL_GPT_4O_2024_08_06"] = "gpt-4o-2024-08-06";
E_OPENAI_MODEL["MODEL_GPT_4_1"] = "gpt-4.1";
E_OPENAI_MODEL["MODEL_GPT_4O_TRANSCRIBE"] = "gpt-4o-transcribe";
E_OPENAI_MODEL["MODEL_GPT_4_1_2025_04_14"] = "gpt-4.1-2025-04-14";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_2024_07_18"] = "gpt-4o-mini-2024-07-18";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_TRANSCRIBE"] = "gpt-4o-mini-transcribe";
E_OPENAI_MODEL["MODEL_O1_MINI"] = "o1-mini";
E_OPENAI_MODEL["MODEL_GPT_4O_MINI_AUDIO_PREVIEW_2024_12_17"] = "gpt-4o-mini-audio-preview-2024-12-17";
E_OPENAI_MODEL["MODEL_GPT_3_5_TURBO_0125"] = "gpt-3.5-turbo-0125";
E_OPENAI_MODEL["MODEL_O1_MINI_2024_09_12"] = "o1-mini-2024-09-12";
E_OPENAI_MODEL["MODEL_OMNI_MODERATION_LATEST"] = "omni-moderation-latest";
})(E_OPENAI_MODEL || (E_OPENAI_MODEL = {}));
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@ -1,7 +1,13 @@
export declare enum E_OPENROUTER_MODEL_FREE {
MODEL_FREE_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE = "shisa-ai/shisa-v2-llama3.3-70b:free",
MODEL_FREE_ARLIAI_QWQ_32B_ARLIAI_RPR_V1_FREE = "arliai/qwq-32b-arliai-rpr-v1:free",
MODEL_FREE_AGENTICA_ORG_DEEPCODER_14B_PREVIEW_FREE = "agentica-org/deepcoder-14b-preview:free",
MODEL_FREE_MOONSHOTAI_KIMI_VL_A3B_THINKING_FREE = "moonshotai/kimi-vl-a3b-thinking:free",
MODEL_FREE_NVIDIA_LLAMA_3_1_NEMOTRON_NANO_8B_V1_FREE = "nvidia/llama-3.1-nemotron-nano-8b-v1:free",
MODEL_FREE_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE = "nvidia/llama-3.3-nemotron-super-49b-v1:free",
MODEL_FREE_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free",
MODEL_FREE_META_LLAMA_LLAMA_4_MAVERICK_FREE = "meta-llama/llama-4-maverick:free",
MODEL_FREE_META_LLAMA_LLAMA_4_SCOUT_FREE = "meta-llama/llama-4-scout:free",
MODEL_FREE_OPENROUTER_QUASAR_ALPHA = "openrouter/quasar-alpha",
MODEL_FREE_DEEPSEEK_DEEPSEEK_V3_BASE_FREE = "deepseek/deepseek-v3-base:free",
MODEL_FREE_ALLENAI_MOLMO_7B_D_FREE = "allenai/molmo-7b-d:free",
MODEL_FREE_BYTEDANCE_RESEARCH_UI_TARS_72B_FREE = "bytedance-research/ui-tars-72b:free",
@ -24,7 +30,6 @@ export declare enum E_OPENROUTER_MODEL_FREE {
MODEL_FREE_NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE = "nousresearch/deephermes-3-llama-3-8b-preview:free",
MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free",
MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_MISTRAL_24B_FREE = "cognitivecomputations/dolphin3.0-mistral-24b:free",
MODEL_FREE_GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE = "google/gemini-2.0-pro-exp-02-05:free",
MODEL_FREE_QWEN_QWEN2_5_VL_72B_INSTRUCT_FREE = "qwen/qwen2.5-vl-72b-instruct:free",
MODEL_FREE_MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501_FREE = "mistralai/mistral-small-24b-instruct-2501:free",
MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B_FREE = "deepseek/deepseek-r1-distill-qwen-32b:free",
@ -52,9 +57,5 @@ export declare enum E_OPENROUTER_MODEL_FREE {
MODEL_FREE_MISTRALAI_MISTRAL_NEMO_FREE = "mistralai/mistral-nemo:free",
MODEL_FREE_GOOGLE_GEMMA_2_9B_IT_FREE = "google/gemma-2-9b-it:free",
MODEL_FREE_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE = "mistralai/mistral-7b-instruct:free",
MODEL_FREE_MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE = "microsoft/phi-3-mini-128k-instruct:free",
MODEL_FREE_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE = "microsoft/phi-3-medium-128k-instruct:free",
MODEL_FREE_OPENCHAT_OPENCHAT_7B_FREE = "openchat/openchat-7b:free",
MODEL_FREE_UNDI95_TOPPY_M_7B_FREE = "undi95/toppy-m-7b:free",
MODEL_FREE_HUGGINGFACEH4_ZEPHYR_7B_BETA_FREE = "huggingfaceh4/zephyr-7b-beta:free"
}

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@ -1,8 +1,14 @@
export var E_OPENROUTER_MODEL_FREE;
(function (E_OPENROUTER_MODEL_FREE) {
E_OPENROUTER_MODEL_FREE["MODEL_FREE_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE"] = "shisa-ai/shisa-v2-llama3.3-70b:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_ARLIAI_QWQ_32B_ARLIAI_RPR_V1_FREE"] = "arliai/qwq-32b-arliai-rpr-v1:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_AGENTICA_ORG_DEEPCODER_14B_PREVIEW_FREE"] = "agentica-org/deepcoder-14b-preview:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MOONSHOTAI_KIMI_VL_A3B_THINKING_FREE"] = "moonshotai/kimi-vl-a3b-thinking:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_NVIDIA_LLAMA_3_1_NEMOTRON_NANO_8B_V1_FREE"] = "nvidia/llama-3.1-nemotron-nano-8b-v1:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE"] = "nvidia/llama-3.3-nemotron-super-49b-v1:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE"] = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_META_LLAMA_LLAMA_4_MAVERICK_FREE"] = "meta-llama/llama-4-maverick:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_META_LLAMA_LLAMA_4_SCOUT_FREE"] = "meta-llama/llama-4-scout:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_OPENROUTER_QUASAR_ALPHA"] = "openrouter/quasar-alpha";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_DEEPSEEK_DEEPSEEK_V3_BASE_FREE"] = "deepseek/deepseek-v3-base:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_ALLENAI_MOLMO_7B_D_FREE"] = "allenai/molmo-7b-d:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_BYTEDANCE_RESEARCH_UI_TARS_72B_FREE"] = "bytedance-research/ui-tars-72b:free";
@ -25,7 +31,6 @@ export var E_OPENROUTER_MODEL_FREE;
E_OPENROUTER_MODEL_FREE["MODEL_FREE_NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE"] = "nousresearch/deephermes-3-llama-3-8b-preview:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_R1_MISTRAL_24B_FREE"] = "cognitivecomputations/dolphin3.0-r1-mistral-24b:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_COGNITIVECOMPUTATIONS_DOLPHIN3_0_MISTRAL_24B_FREE"] = "cognitivecomputations/dolphin3.0-mistral-24b:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE"] = "google/gemini-2.0-pro-exp-02-05:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_QWEN_QWEN2_5_VL_72B_INSTRUCT_FREE"] = "qwen/qwen2.5-vl-72b-instruct:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MISTRALAI_MISTRAL_SMALL_24B_INSTRUCT_2501_FREE"] = "mistralai/mistral-small-24b-instruct-2501:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_DEEPSEEK_DEEPSEEK_R1_DISTILL_QWEN_32B_FREE"] = "deepseek/deepseek-r1-distill-qwen-32b:free";
@ -53,10 +58,6 @@ export var E_OPENROUTER_MODEL_FREE;
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MISTRALAI_MISTRAL_NEMO_FREE"] = "mistralai/mistral-nemo:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_GOOGLE_GEMMA_2_9B_IT_FREE"] = "google/gemma-2-9b-it:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MISTRALAI_MISTRAL_7B_INSTRUCT_FREE"] = "mistralai/mistral-7b-instruct:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE"] = "microsoft/phi-3-mini-128k-instruct:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE"] = "microsoft/phi-3-medium-128k-instruct:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_OPENCHAT_OPENCHAT_7B_FREE"] = "openchat/openchat-7b:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_UNDI95_TOPPY_M_7B_FREE"] = "undi95/toppy-m-7b:free";
E_OPENROUTER_MODEL_FREE["MODEL_FREE_HUGGINGFACEH4_ZEPHYR_7B_BETA_FREE"] = "huggingfaceh4/zephyr-7b-beta:free";
})(E_OPENROUTER_MODEL_FREE || (E_OPENROUTER_MODEL_FREE = {}));
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@ -1,10 +1,27 @@
export declare enum E_OPENROUTER_MODEL {
MODEL_OPENAI_O4_MINI_HIGH = "openai/o4-mini-high",
MODEL_OPENAI_O3 = "openai/o3",
MODEL_OPENAI_O4_MINI = "openai/o4-mini",
MODEL_SHISA_AI_SHISA_V2_LLAMA3_3_70B_FREE = "shisa-ai/shisa-v2-llama3.3-70b:free",
MODEL_QWEN_QWEN2_5_CODER_7B_INSTRUCT = "qwen/qwen2.5-coder-7b-instruct",
MODEL_OPENAI_GPT_4_1 = "openai/gpt-4.1",
MODEL_OPENAI_GPT_4_1_MINI = "openai/gpt-4.1-mini",
MODEL_OPENAI_GPT_4_1_NANO = "openai/gpt-4.1-nano",
MODEL_ELEUTHERAI_LLEMMA_7B = "eleutherai/llemma_7b",
MODEL_ALFREDPROS_CODELLAMA_7B_INSTRUCT_SOLIDITY = "alfredpros/codellama-7b-instruct-solidity",
MODEL_ARLIAI_QWQ_32B_ARLIAI_RPR_V1_FREE = "arliai/qwq-32b-arliai-rpr-v1:free",
MODEL_AGENTICA_ORG_DEEPCODER_14B_PREVIEW_FREE = "agentica-org/deepcoder-14b-preview:free",
MODEL_MOONSHOTAI_KIMI_VL_A3B_THINKING_FREE = "moonshotai/kimi-vl-a3b-thinking:free",
MODEL_X_AI_GROK_3_MINI_BETA = "x-ai/grok-3-mini-beta",
MODEL_X_AI_GROK_3_BETA = "x-ai/grok-3-beta",
MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_NANO_8B_V1_FREE = "nvidia/llama-3.1-nemotron-nano-8b-v1:free",
MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE = "nvidia/llama-3.3-nemotron-super-49b-v1:free",
MODEL_NVIDIA_LLAMA_3_1_NEMOTRON_ULTRA_253B_V1_FREE = "nvidia/llama-3.1-nemotron-ultra-253b-v1:free",
MODEL_META_LLAMA_LLAMA_4_MAVERICK_FREE = "meta-llama/llama-4-maverick:free",
MODEL_META_LLAMA_LLAMA_4_MAVERICK = "meta-llama/llama-4-maverick",
MODEL_META_LLAMA_LLAMA_4_SCOUT_FREE = "meta-llama/llama-4-scout:free",
MODEL_META_LLAMA_LLAMA_4_SCOUT = "meta-llama/llama-4-scout",
MODEL_GOOGLE_GEMINI_2_5_PRO_PREVIEW_03_25 = "google/gemini-2.5-pro-preview-03-25",
MODEL_OPENROUTER_QUASAR_ALPHA = "openrouter/quasar-alpha",
MODEL_ALL_HANDS_OPENHANDS_LM_32B_V0_1 = "all-hands/openhands-lm-32b-v0.1",
MODEL_MISTRAL_MINISTRAL_8B = "mistral/ministral-8b",
MODEL_DEEPSEEK_DEEPSEEK_V3_BASE_FREE = "deepseek/deepseek-v3-base:free",
@ -25,7 +42,6 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_OPEN_R1_OLYMPICCODER_7B_FREE = "open-r1/olympiccoder-7b:free",
MODEL_OPEN_R1_OLYMPICCODER_32B_FREE = "open-r1/olympiccoder-32b:free",
MODEL_STEELSKULL_L3_3_ELECTRA_R1_70B = "steelskull/l3.3-electra-r1-70b",
MODEL_ALLENAI_OLMO_2_0325_32B_INSTRUCT = "allenai/olmo-2-0325-32b-instruct",
MODEL_GOOGLE_GEMMA_3_1B_IT_FREE = "google/gemma-3-1b-it:free",
MODEL_GOOGLE_GEMMA_3_4B_IT_FREE = "google/gemma-3-4b-it:free",
MODEL_GOOGLE_GEMMA_3_4B_IT = "google/gemma-3-4b-it",
@ -36,7 +52,6 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_COHERE_COMMAND_A = "cohere/command-a",
MODEL_OPENAI_GPT_4O_MINI_SEARCH_PREVIEW = "openai/gpt-4o-mini-search-preview",
MODEL_OPENAI_GPT_4O_SEARCH_PREVIEW = "openai/gpt-4o-search-preview",
MODEL_TOKYOTECH_LLM_LLAMA_3_1_SWALLOW_70B_INSTRUCT_V0_3 = "tokyotech-llm/llama-3.1-swallow-70b-instruct-v0.3",
MODEL_REKAAI_REKA_FLASH_3_FREE = "rekaai/reka-flash-3:free",
MODEL_GOOGLE_GEMMA_3_27B_IT_FREE = "google/gemma-3-27b-it:free",
MODEL_GOOGLE_GEMMA_3_27B_IT = "google/gemma-3-27b-it",
@ -50,7 +65,6 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_DEEPSEEK_DEEPSEEK_R1_ZERO_FREE = "deepseek/deepseek-r1-zero:free",
MODEL_QWEN_QWQ_32B_FREE = "qwen/qwq-32b:free",
MODEL_QWEN_QWQ_32B = "qwen/qwq-32b",
MODEL_QWEN_QWEN2_5_32B_INSTRUCT = "qwen/qwen2.5-32b-instruct",
MODEL_MOONSHOTAI_MOONLIGHT_16B_A3B_INSTRUCT_FREE = "moonshotai/moonlight-16b-a3b-instruct:free",
MODEL_NOUSRESEARCH_DEEPHERMES_3_LLAMA_3_8B_PREVIEW_FREE = "nousresearch/deephermes-3-llama-3-8b-preview:free",
MODEL_OPENAI_GPT_4_5_PREVIEW = "openai/gpt-4.5-preview",
@ -66,7 +80,6 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_OPENAI_O3_MINI_HIGH = "openai/o3-mini-high",
MODEL_DEEPSEEK_DEEPSEEK_R1_DISTILL_LLAMA_8B = "deepseek/deepseek-r1-distill-llama-8b",
MODEL_GOOGLE_GEMINI_2_0_FLASH_001 = "google/gemini-2.0-flash-001",
MODEL_GOOGLE_GEMINI_2_0_PRO_EXP_02_05_FREE = "google/gemini-2.0-pro-exp-02-05:free",
MODEL_QWEN_QWEN_VL_PLUS = "qwen/qwen-vl-plus",
MODEL_AION_LABS_AION_1_0 = "aion-labs/aion-1.0",
MODEL_AION_LABS_AION_1_0_MINI = "aion-labs/aion-1.0-mini",
@ -209,9 +222,7 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT = "mistralai/mistral-7b-instruct",
MODEL_MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "mistralai/mistral-7b-instruct-v0.3",
MODEL_NOUSRESEARCH_HERMES_2_PRO_LLAMA_3_8B = "nousresearch/hermes-2-pro-llama-3-8b",
MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT_FREE = "microsoft/phi-3-mini-128k-instruct:free",
MODEL_MICROSOFT_PHI_3_MINI_128K_INSTRUCT = "microsoft/phi-3-mini-128k-instruct",
MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT_FREE = "microsoft/phi-3-medium-128k-instruct:free",
MODEL_MICROSOFT_PHI_3_MEDIUM_128K_INSTRUCT = "microsoft/phi-3-medium-128k-instruct",
MODEL_NEVERSLEEP_LLAMA_3_LUMIMAID_70B = "neversleep/llama-3-lumimaid-70b",
MODEL_GOOGLE_GEMINI_FLASH_1_5 = "google/gemini-flash-1.5",
@ -252,16 +263,13 @@ export declare enum E_OPENROUTER_MODEL {
MODEL_COGNITIVECOMPUTATIONS_DOLPHIN_MIXTRAL_8X7B = "cognitivecomputations/dolphin-mixtral-8x7b",
MODEL_GOOGLE_GEMINI_PRO_VISION = "google/gemini-pro-vision",
MODEL_GOOGLE_GEMINI_PRO = "google/gemini-pro",
MODEL_MISTRALAI_MIXTRAL_8X7B = "mistralai/mixtral-8x7b",
MODEL_MISTRALAI_MIXTRAL_8X7B_INSTRUCT = "mistralai/mixtral-8x7b-instruct",
MODEL_OPENCHAT_OPENCHAT_7B_FREE = "openchat/openchat-7b:free",
MODEL_OPENCHAT_OPENCHAT_7B = "openchat/openchat-7b",
MODEL_NEVERSLEEP_NOROMAID_20B = "neversleep/noromaid-20b",
MODEL_ANTHROPIC_CLAUDE_2_1_BETA = "anthropic/claude-2.1:beta",
MODEL_ANTHROPIC_CLAUDE_2_1 = "anthropic/claude-2.1",
MODEL_ANTHROPIC_CLAUDE_2_BETA = "anthropic/claude-2:beta",
MODEL_ANTHROPIC_CLAUDE_2 = "anthropic/claude-2",
MODEL_UNDI95_TOPPY_M_7B_FREE = "undi95/toppy-m-7b:free",
MODEL_UNDI95_TOPPY_M_7B = "undi95/toppy-m-7b",
MODEL_ALPINDALE_GOLIATH_120B = "alpindale/goliath-120b",
MODEL_OPENROUTER_AUTO = "openrouter/auto",

File diff suppressed because one or more lines are too long

View File

@ -25,6 +25,7 @@ export interface IKBotOptions {

01-ai/yi-large | paid
aetherwiing/mn-starcannon-12b | paid
agentica-org/deepcoder-14b-preview:free | free
ai21/jamba-1-5-large | paid
ai21/jamba-1-5-mini | paid
ai21/jamba-1.6-large | paid
@ -34,8 +35,8 @@ export interface IKBotOptions {
aion-labs/aion-1.0-mini | paid
aion-labs/aion-rp-llama-3.1-8b | paid
jondurbin/airoboros-l2-70b | paid
alfredpros/codellama-7b-instruct-solidity | paid
allenai/molmo-7b-d:free | free
allenai/olmo-2-0325-32b-instruct | paid
amazon/nova-lite-v1 | paid
amazon/nova-micro-v1 | paid
amazon/nova-pro-v1 | paid
@ -62,6 +63,7 @@ export interface IKBotOptions {
anthropic/claude-2.0:beta | paid
anthropic/claude-2.1 | paid
anthropic/claude-2.1:beta | paid
arliai/qwq-32b-arliai-rpr-v1:free | free
openrouter/auto | paid
bytedance-research/ui-tars-72b:free | free
cohere/command | paid
@ -93,6 +95,7 @@ export interface IKBotOptions {
cognitivecomputations/dolphin-mixtral-8x22b | paid
cognitivecomputations/dolphin3.0-mistral-24b:free | free
cognitivecomputations/dolphin3.0-r1-mistral-24b:free | free
eleutherai/llemma_7b | paid
eva-unit-01/eva-llama-3.33-70b | paid
eva-unit-01/eva-qwen-2.5-32b | paid
eva-unit-01/eva-qwen-2.5-72b | paid
@ -107,7 +110,8 @@ export interface IKBotOptions {
google/gemini-2.0-flash-lite-001 | paid
google/gemini-2.0-flash-thinking-exp-1219:free | free
google/gemini-2.0-flash-thinking-exp:free | free
google/gemini-2.0-pro-exp-02-05:free | free
google/gemini-2.5-flash-preview | paid
google/gemini-2.5-flash-preview:thinking | paid
google/gemini-2.5-pro-exp-03-25:free | free
google/gemini-2.5-pro-preview-03-25 | paid
google/gemini-pro | paid
@ -166,9 +170,7 @@ export interface IKBotOptions {
microsoft/phi-4 | paid
microsoft/phi-4-multimodal-instruct | paid
microsoft/phi-3-medium-128k-instruct | paid
microsoft/phi-3-medium-128k-instruct:free | free
microsoft/phi-3-mini-128k-instruct | paid
microsoft/phi-3-mini-128k-instruct:free | free
microsoft/phi-3.5-mini-128k-instruct | paid
sophosympatheia/midnight-rose-70b | paid
minimax/minimax-01 | paid
@ -196,11 +198,11 @@ export interface IKBotOptions {
mistralai/mistral-small-3.1-24b-instruct | paid
mistralai/mistral-small-3.1-24b-instruct:free | free
mistralai/mixtral-8x22b-instruct | paid
mistralai/mixtral-8x7b | paid
mistralai/mixtral-8x7b-instruct | paid
mistralai/pixtral-12b | paid
mistralai/pixtral-large-2411 | paid
mistralai/mistral-saba | paid
moonshotai/kimi-vl-a3b-thinking:free | free
moonshotai/moonlight-16b-a3b-instruct:free | free
gryphe/mythomax-l2-13b | paid
neversleep/llama-3-lumimaid-70b | paid
@ -217,6 +219,9 @@ export interface IKBotOptions {
nousresearch/hermes-2-pro-llama-3-8b | paid
nvidia/llama-3.1-nemotron-70b-instruct | paid
nvidia/llama-3.1-nemotron-70b-instruct:free | free
nvidia/llama-3.1-nemotron-nano-8b-v1:free | free
nvidia/llama-3.1-nemotron-ultra-253b-v1:free | free
nvidia/llama-3.3-nemotron-super-49b-v1:free | free
open-r1/olympiccoder-32b:free | free
open-r1/olympiccoder-7b:free | free
openai/chatgpt-4o-latest | paid
@ -233,6 +238,9 @@ export interface IKBotOptions {
openai/gpt-4-turbo | paid
openai/gpt-4-1106-preview | paid
openai/gpt-4-turbo-preview | paid
openai/gpt-4.1 | paid
openai/gpt-4.1-mini | paid
openai/gpt-4.1-nano | paid
openai/gpt-4.5-preview | paid
openai/gpt-4o | paid
openai/gpt-4o-2024-05-13 | paid
@ -249,10 +257,12 @@ export interface IKBotOptions {
openai/o1-preview | paid
openai/o1-preview-2024-09-12 | paid
openai/o1-pro | paid
openai/o3 | paid
openai/o3-mini | paid
openai/o3-mini-high | paid
openai/o4-mini | paid
openai/o4-mini-high | paid
openchat/openchat-7b | paid
openchat/openchat-7b:free | free
all-hands/openhands-lm-32b-v0.1 | paid
perplexity/llama-3.1-sonar-large-128k-online | paid
perplexity/llama-3.1-sonar-small-128k-online | paid
@ -263,14 +273,13 @@ export interface IKBotOptions {
perplexity/sonar-reasoning | paid
perplexity/sonar-reasoning-pro | paid
pygmalionai/mythalion-13b | paid
openrouter/quasar-alpha | paid
qwen/qwen-2-72b-instruct | paid
qwen/qwen-vl-max | paid
qwen/qwen-vl-plus | paid
qwen/qwen-max | paid
qwen/qwen-plus | paid
qwen/qwen-turbo | paid
qwen/qwen2.5-32b-instruct | paid
qwen/qwen2.5-coder-7b-instruct | paid
qwen/qwen2.5-vl-32b-instruct | paid
qwen/qwen2.5-vl-32b-instruct:free | free
qwen/qwen2.5-vl-3b-instruct:free | free
@ -299,13 +308,14 @@ export interface IKBotOptions {
sao10k/l3.1-70b-hanami-x1 | paid
sao10k/l3.1-euryale-70b | paid
sao10k/l3.3-euryale-70b | paid
shisa-ai/shisa-v2-llama3.3-70b:free | free
raifle/sorcererlm-8x22b | paid
steelskull/l3.3-electra-r1-70b | paid
tokyotech-llm/llama-3.1-swallow-70b-instruct-v0.3 | paid
thedrummer/anubis-pro-105b-v1 | paid
thedrummer/skyfall-36b-v2 | paid
thudm/glm-4-32b:free | free
thudm/glm-z1-32b:free | free
undi95/toppy-m-7b | paid
undi95/toppy-m-7b:free | free
scb10x/llama3.1-typhoon2-70b-instruct | paid
scb10x/llama3.1-typhoon2-8b-instruct | paid
thedrummer/unslopnemo-12b | paid
@ -313,6 +323,8 @@ export interface IKBotOptions {
microsoft/wizardlm-2-8x22b | paid
x-ai/grok-2-1212 | paid
x-ai/grok-2-vision-1212 | paid
x-ai/grok-3-beta | paid
x-ai/grok-3-mini-beta | paid
x-ai/grok-beta | paid
x-ai/grok-vision-beta | paid
xwin-lm/xwin-lm-70b | paid
@ -337,6 +349,12 @@ export interface IKBotOptions {
gpt-4-turbo
gpt-4-turbo-2024-04-09
gpt-4-turbo-preview
gpt-4.1
gpt-4.1-2025-04-14
gpt-4.1-mini
gpt-4.1-mini-2025-04-14
gpt-4.1-nano
gpt-4.1-nano-2025-04-14
gpt-4.5-preview
gpt-4.5-preview-2025-02-27
gpt-4o
@ -372,6 +390,8 @@ export interface IKBotOptions {
o1-pro-2025-03-19
o3-mini
o3-mini-2025-01-31
o4-mini
o4-mini-2025-04-16
omni-moderation-2024-09-26
omni-moderation-latest
text-embedding-3-large

File diff suppressed because it is too large Load Diff

View File

@ -238,5 +238,71 @@
"message": "It seems there is an issue with listing the files in the specified directory. Please ensure that the directory path is correct and accessible, or try checking any related permission settings.",
"timestamp": "2025-04-07T17:09:06.030Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems the content of the file \"tools.test.md\" is not available. Please ensure the file exists at the specified path or check the permissions. Alternatively, you can provide the content of the file here, and I can help solve the equations.",
"timestamp": "2025-04-18T07:18:28.094Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "The data has been written to the file and read back successfully. Here is the data in JSON format:\n\n```json\n{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}\n```",
"timestamp": "2025-04-18T07:18:32.568Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "Here's the list of files in the specified directory:\n\n```json\n[\n \"pbbs_oopq3_d.vtu\",\n \"36467_unstructured.vtu\",\n \"Fertility.vtu\",\n \"test-1.vtp\",\n \"1.vtp\",\n \"blow.vtp\",\n \"test.vtu\",\n \"structured.vtu\",\n \"sample.vtp\",\n \"t1_vtu.vtu\",\n \"t1.vtu\",\n \"sample.vtu\"\n]\n```",
"timestamp": "2025-04-18T07:18:37.003Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems there was an issue retrieving the file content from the specified path. Could you please check if the path is correct or if the file exists?",
"timestamp": "2025-04-18T07:29:25.083Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "The data has been written to the file and successfully read back. Here is the read data in JSON format:\n\n```json\n{\n \"test\": \"data\",\n \"timestamp\": \"2025-04-18T07:29:25.108Z\"\n}\n```",
"timestamp": "2025-04-18T07:29:30.764Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "I see you've sent the request again, I'll proceed with it.",
"timestamp": "2025-04-18T07:29:34.245Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems there is an issue with listing the files in the specified directory. Please ensure that the directory path is correct and accessible. If you have any specific actions you'd like to take or another directory to query, let me know!",
"timestamp": "2025-04-18T07:29:37.646Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems I encountered an unexpected error while trying to read the file. Unfortunately, the exact content of the file isn't available. Is there anything else you would like to try or know?",
"timestamp": "2025-04-18T07:47:24.183Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "{\\\"test\\\":\\\"data\\\",\\\"timestamp\\\":\\\"2025-04-18T07:47:24.209Z\\\"}",
"timestamp": "2025-04-18T07:47:28.409Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems like the attempt to list the files needed to be properly executed. Let me try that for you.",
"timestamp": "2025-04-18T07:47:32.090Z",
"service": "collector:onContent"
},
{
"level": "debug",
"message": "It seems there is an issue with accessing the files in the specified directory. Please ensure that the directory path is correct and try again. If there's anything else you'd like to check or update, let me know.",
"timestamp": "2025-04-18T07:47:33.702Z",
"service": "collector:onContent"
}
]

View File

@ -3936,5 +3936,723 @@
},
"timestamp": "2025-04-07T17:09:06.028Z",
"service": "collector:onMessage"
},
{
"level": "info",
"message": {
"role": "assistant",
"content": "",
"refusal": null,
"reasoning": null,
"tool_calls": [
{
"index": 0,
"id": "call_GoGqypoqvKTXjHAaaWPHP0Y9",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"file\":{\"path\":\"C:\\\\Users\\\\zx\\\\Desktop\\\\polymech\\\\polymech-mono\\\\packages\\\\kbot\\\\tests\\\\units\\\\tools.test.md\"}}",
"parsed_arguments": null
}
}
],
"parsed": null,
"timestamp": "2025-04-18T07:18:26.495Z",
"sessionId": "1744960704894",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-18T07:18:26.497Z",
"service": "collector:onMessage"
},
{
"level": "info",
"message": {
"role": "tool",
"tool_call_id": "call_GoGqypoqvKTXjHAaaWPHP0Y9",
"content": "{\"file\":{\"path\":\"C:\\\\Users\\\\zx\\\\Desktop\\\\polymech\\\\polymech-mono\\\\packages\\\\kbot\\\\tests\\\\units\\\\tools.test.md\"}}",
"timestamp": "2025-04-18T07:18:26.506Z",
"sessionId": "1744960704894",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-18T07:18:26.508Z",
"service": "collector:onMessage"
},
{
"level": "info",
"message": {
"role": "assistant",
"content": "It seems the content of the file \"tools.test.md\" is not available. Please ensure the file exists at the specified path or check the permissions. Alternatively, you can provide the content of the file here, and I can help solve the equations.",
"refusal": null,
"reasoning": null,
"parsed": null,
"timestamp": "2025-04-18T07:18:28.090Z",
"sessionId": "1744960704894",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-18T07:18:28.092Z",
"service": "collector:onMessage"
},
{
"level": "info",
"message": {
"role": "assistant",
"content": "",
"refusal": null,
"reasoning": null,
"tool_calls": [
{
"index": 0,
"id": "call_AhGuipZyxrYMhDCRF4ahSw6N",
"type": "function",
"function": {
"name": "write_file",
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View File

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View File

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View File

@ -1454,5 +1454,252 @@
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"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "read_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-18T07:47:22.099Z",
"sessionId": "1744962440441",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format."
},
"timestamp": "2025-04-18T07:47:22.100Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "write_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json",
"content": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-18T07:47:25.815Z",
"sessionId": "1744962444328",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}. Return the read data in JSON format."
},
"timestamp": "2025-04-18T07:47:25.816Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "read_file",
"arguments": {
"file": {
"path": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json"
}
},
"parsed_arguments": null,
"timestamp": "2025-04-18T07:47:27.387Z",
"sessionId": "1744962444328",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}. Return the read data in JSON format."
},
"timestamp": "2025-04-18T07:47:27.387Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "list_files",
"arguments": {
"directory": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data"
},
"parsed_arguments": null,
"timestamp": "2025-04-18T07:47:30.491Z",
"sessionId": "1744962448549",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames."
},
"timestamp": "2025-04-18T07:47:30.492Z",
"service": "collector:onToolCall"
},
{
"level": "debug",
"message": {
"name": "list_files",
"arguments": {
"directory": "C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data"
},
"parsed_arguments": null,
"timestamp": "2025-04-18T07:47:32.088Z",
"sessionId": "1744962448549",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames."
},
"timestamp": "2025-04-18T07:47:32.089Z",
"service": "collector:onToolCall"
}
]

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@ -124,7 +124,7 @@ export const complete_params = async (
if (options.mode === E_Mode.TOOLS || options.mode === E_Mode.ASSISTANT) {
params.tools = await loadTools(options)
params.tool_choice = 'auto'
params.parallel_tool_calls = false
//params.parallel_tool_calls = false
}
return params

View File

@ -4,7 +4,7 @@ import type { IKBotTask } from '@polymech/ai-tools';
import { E_OPENROUTER_MODEL } from '../../models/cache/openrouter-models.js'
import { E_Mode } from '../../zod_schema.js'
const MODEL = E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA;
const MODEL = E_OPENROUTER_MODEL.MODEL_META_LLAMA_LLAMA_4_SCOUT_FREE;
const ROUTER = 'openrouter';
const LOG_LEVEL = 2;

View File

@ -1,104 +0,0 @@
import { get_cached_object, set_cached_object, rm_cached_object } from "@polymech/cache"
import { run, OptionsSchema } from "@polymech/kbot-d";
import { resolveVariables } from "@polymech/commons/variables"
import { } from "@polymech/core/objects"
import { logger, env } from "./index.js"
import { removeEmptyObjects } from "@/base/objects.js"
import { LLM_CACHE } from "@/config/config.js"
import {
TemplateProps,
TemplateContext,
createTemplates
} from "./kbot-templates.js";
export interface Props extends TemplateProps {
context?: TemplateContext;
}
export const filter = async (content: string, tpl: string = 'howto', opts: Props = {}) => {
if (!content || content.length < 20) {
return content;
}
const context = opts.context || TemplateContext.COMMONS;
const templates = createTemplates(context);
if (!templates[tpl]) {
return content;
}
const template = typeof templates[tpl] === 'function' ? templates[tpl]() : templates[tpl];
const options = getFilterOptions(content, template, opts);
const cache_key_obj = {
content,
tpl,
context,
...options,
filters: [],
tools: []
};
const ca_options = JSON.parse(JSON.stringify(removeEmptyObjects(cache_key_obj)));
let cached
try {
cached = await get_cached_object({ ca_options }, 'kbot') as { content: string }
} catch (e) {
logger.error(`Failed to get cached object for ${content.substring(0, 20)}`, e);
}
if (cached) {
if (LLM_CACHE) {
return cached.content;
} else {
rm_cached_object({ ca_options }, 'kbot')
}
}
logger.info(`kbot: template:${tpl} : context:${context} @ ${options.model}`)
const result = await run(options);
if (!result || !result[0]) {
logger.error(`No result for ${content.substring(0, 20)}`)
return content;
}
if (template.format === 'json') {
try {
const jsonResult = JSON.parse(result[0] as string);
await set_cached_object(content, ca_options, { content: jsonResult }, 'kbot');
return jsonResult;
} catch (e) {
logger.error('Failed to parse JSON response:', e);
return result[0];
}
}
await set_cached_object({ ca_options }, 'kbot', { content: result[0] }, {})
logger.info(`kbot-result: template:${tpl} : context:${context} @ ${options.model} : ${result[0]}`)
return result[0] as string;
};
export const template_filter = async (text: string, template: string, context: TemplateContext = TemplateContext.COMMONS) => {
if (!text || text.length < 20) {
return text;
}
const templates = createTemplates(context);
if (!templates[template]) {
logger.warn(`No template found for ${template}`);
return text;
}
const templateConfig = templates[template]();
const resolvedTemplate = Object.fromEntries(
Object.entries(templateConfig).map(([key, value]) => [
key,
typeof value === 'string' ? resolveVariables(value, true) : value
])
);
const resolvedText = resolveVariables(text, true);
const ret = await filter(resolvedText, template, {
context,
...resolvedTemplate,
prompt: `${resolvedTemplate.prompt}\n\nText to process:\n${resolvedText}`,
variables: env().variables
});
return ret;
};
export const getFilterOptions = (content: string, template: any, opts: Props = {}) => {
return OptionsSchema().parse({
...template,
prompt: `${template.prompt || ""} : ${content}`,
...opts,
});
};

View File

@ -110,6 +110,8 @@ export interface IKBotOptions {
google/gemini-2.0-flash-lite-001 | paid
google/gemini-2.0-flash-thinking-exp-1219:free | free
google/gemini-2.0-flash-thinking-exp:free | free
google/gemini-2.5-flash-preview | paid
google/gemini-2.5-flash-preview:thinking | paid
google/gemini-2.5-pro-exp-03-25:free | free
google/gemini-2.5-pro-preview-03-25 | paid
google/gemini-pro | paid
@ -311,6 +313,8 @@ export interface IKBotOptions {
steelskull/l3.3-electra-r1-70b | paid
thedrummer/anubis-pro-105b-v1 | paid
thedrummer/skyfall-36b-v2 | paid
thudm/glm-4-32b:free | free
thudm/glm-z1-32b:free | free
undi95/toppy-m-7b | paid
scb10x/llama3.1-typhoon2-70b-instruct | paid
scb10x/llama3.1-typhoon2-8b-instruct | paid

View File

@ -0,0 +1,7 @@
kbot-d "Create a comprehensive Readme.md, in ./tests/scripted/readme.md (installation, usage, examples, etc), with Mermaid diagrams (no braces in node names)" \
--router=openai \
--model=o3-mini \
--disable=npm,terminal,interact,git,search,web,user,email \
--include=./src/commands/*.ts \
--preferences=none \
--logLevel=2

View File

@ -0,0 +1,189 @@
# KBot Command Line Interface
Welcome to **KBot CLI** a versatile command line tool designed to help you integrate and utilize AI-powered functionalities in your projects. This guide covers installation, configuration, usage, examples, and system architecture using Mermaid diagrams.
---
## Table of Contents
- [Installation](#installation)
- [Configuration](#configuration)
- [Usage](#usage)
- [Examples](#examples)
- [Architecture](#architecture)
- [Mermaid Diagrams](#mermaid-diagrams)
- [Contributing](#contributing)
- [License](#license)
---
## Installation
### Prerequisites
- [Node.js](https://nodejs.org/en/) (version 14 or later)
- npm (comes with Node.js) or yarn
### Steps
1. Clone the repository:
```bash
git clone https://github.com/yourusername/kbot-cli.git
cd kbot-cli
```
2. Install dependencies:
```bash
npm install
# or
yarn install
```
3. Build the project (if applicable):
```bash
npm run build
```
4. (Optional) Run tests to verify installation:
```bash
npm test
```
---
## Configuration
KBot CLI requires some configuration files to run properly. Upon initialization, it creates a hidden configuration directory (e.g., `.kbot`) in your project root. Important files include:
- **preferences.md**: Contains your personal preferences for contextual responses.
- **config.json**: Stores API keys and other configuration settings.
You can customize these files to suit your needs.
---
## Usage
KBot CLI offers multiple modes:
- **Completion Mode**: Fetches completions based on your prompts.
- **Tools Mode**: Integrates with external tools for various functionalities.
- **Assistant Mode**: Provides conversational AI assistance.
### Basic Command
Run the tool with a prompt and options:
```bash
kbot "Your prompt goes here" --mode completion --model text-davinci-003
```
### Example: Processing a File
To process a specific file, pass the file path using the `--include` flag:
```bash
kbot "Summarize the following code" --include ./src/index.js
```
---
## Examples
Refer to the [examples](#mermaid-diagrams) section for sample commands and workflows. You can generate and view detailed examples and markdown documentation directly in your terminal.
---
## Architecture
KBot CLI is modular with distinct components:
- **Option Completion**: Validates and configures task options.
- **Message Aggregation**: Gathers prompts, preferences, and source files.
- **Parameter Construction**: Prepares API request parameters.
- **Request Execution**: Executes API calls in different modes (completion, tools, assistant).
Below is a high-level overview of the workflow:
```mermaid
flowchart LR
Start[Start]
Options[Complete Options]
Messages[Gather Messages]
Params[Configure Parameters]
Client[Setup API Client]
Execute[Execute Request]
End[Display Result]
Start --> Options
Options --> Messages
Messages --> Params
Params --> Client
Client --> Execute
Execute --> End
```
---
## Mermaid Diagrams
Here are some additional Mermaid diagrams to illustrate various processes without using braces in node names:
### Process Flow Diagram
```mermaid
flowchart LR
Input[User Input]
Validate[Validate Options]
Configure[Configure API Parameters]
Call[Call API]
Output[Return Response]
Input --> Validate
Validate --> Configure
Configure --> Call
Call --> Output
```
### File Processing Workflow
```mermaid
flowchart TD
ReadFile[Read Source File]
ParseFile[Parse Content]
ApplyFilters[Apply Filters]
GenerateOutput[Generate Output]
ReadFile --> ParseFile
ParseFile --> ApplyFilters
ApplyFilters --> GenerateOutput
```
*Note: All node names in these diagrams are enclosed in square brackets to ensure no curly braces are used.*
---
## Contributing
Contributions are welcome! If you wish to enhance KBot CLI further, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Write tests for your changes.
4. Open a pull request with a detailed description of your changes.
Ensure your code adheres to the established project style and best practices.
---
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
---
Happy coding with KBot CLI!

View File

@ -1,13 +1,8 @@
import { describe, it, expect } from 'vitest'
import * as path from 'node:path'
import { sync as exists } from "@polymech/fs/exists"
import { sync as read } from "@polymech/fs/read"
import {
getDefaultModels,
TEST_BASE_PATH,
TEST_LOGS_PATH,
TEST_PREFERENCES_PATH,
TEST_TIMEOUT,
TestResult,
runTest,
@ -15,7 +10,6 @@ import {
getReportPaths
} from './commons'
// Optionally override models for this specific test file
const models = getDefaultModels()
describe('Basic Operations', () => {

View File

@ -18,21 +18,20 @@ export enum ModelCategory {
export const getFastModels = (): string[] => {
return [
E_OPENROUTER_MODEL.MODEL_OPENAI_GPT_3_5_TURBO,
E_OPENROUTER_MODEL.MODEL_OPENAI_GPT_4O_MINI,
E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA
E_OPENROUTER_MODEL.MODEL_OPENAI_GPT_4O_MINI
]
}
export const getCodingModels = (): string[] => {
return [
E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA
E_OPENROUTER_MODEL.MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE
]
}
export const getFileModels = (): string[] => {
return [
E_OPENROUTER_MODEL.MODEL_OPENAI_GPT_4O_MINI,
E_OPENROUTER_MODEL.MODEL_OPENROUTER_QUASAR_ALPHA,
E_OPENROUTER_MODEL.MODEL_NVIDIA_LLAMA_3_3_NEMOTRON_SUPER_49B_V1_FREE,
E_OPENROUTER_MODEL.MODEL_GOOGLE_GEMINI_2_0_FLASH_EXP_FREE
]
}

View File

@ -18570,6 +18570,634 @@
"passed": true,
"duration": 1044,
"category": "format"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:25.791Z",
"passed": true,
"duration": 1316,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:26.653Z",
"passed": true,
"duration": 847,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [],
"expected": "8",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:27.074Z",
"passed": false,
"duration": 408,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:28.096Z",
"passed": true,
"duration": 1006,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:28.861Z",
"passed": true,
"duration": 753,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [],
"expected": "24",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:29.280Z",
"passed": false,
"duration": 406,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:30.045Z",
"passed": true,
"duration": 752,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:30.800Z",
"passed": true,
"duration": 742,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [],
"expected": "5",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:31.231Z",
"passed": false,
"duration": 420,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:34.980Z",
"passed": false,
"duration": 3736,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [
"yes"
],
"expected": "yes",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:45.734Z",
"passed": true,
"duration": 10739,
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:48.975Z",
"passed": false,
"duration": 3226,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:52.424Z",
"passed": true,
"duration": 2646,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:53.602Z",
"passed": true,
"duration": 1162,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:54.574Z",
"passed": true,
"duration": 958,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:55.253Z",
"passed": true,
"duration": 666,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:56.362Z",
"passed": true,
"duration": 1096,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:57.279Z",
"passed": true,
"duration": 905,
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:48:00.597Z",
"passed": false,
"duration": 3306,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [
"yes"
],
"expected": "yes",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:48:08.212Z",
"passed": true,
"duration": 7600,
"category": "basic"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:00.247Z",
"passed": true,
"duration": 1373,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:02.126Z",
"passed": true,
"duration": 1864,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort\n"
],
"expected": "bubble sort",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:03.516Z",
"passed": true,
"duration": 1377,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\"factorial\", \"bubbleSort\"]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:04.622Z",
"passed": false,
"duration": 1093,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\"factorial\", \"bubblesort\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n {\n \"Algorithm\": \"Factorial Calculation\",\n \"Type\": \"Mathematical\",\n \"Function Name\": \"factorial\",\n \"Language\": \"JavaScript\"\n },\n {\n \"Algorithm\": \"Bubble Sort\",\n \"Type\": \"Sorting\",\n \"Function Name\": \"bubbleSort\",\n \"Language\": \"JavaScript\"\n }\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:08.485Z",
"passed": false,
"duration": 3850,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n {\n \"algorithm\": \"factorial calculation\",\n \"type\": \"mathematical\",\n \"function name\": \"factorial\",\n \"language\": \"javascript\"\n },\n {\n \"algorithm\": \"bubble sort\",\n \"type\": \"sorting\",\n \"function name\": \"bubblesort\",\n \"language\": \"javascript\"\n }\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n \"factorial\",\n \"bubbleSort\"\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:10.247Z",
"passed": false,
"duration": 1748,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n \"factorial\",\n \"bubblesort\"\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:11.385Z",
"passed": false,
"duration": 1126,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:14.660Z",
"passed": false,
"duration": 3262,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel\n"
],
"expected": "Injection Barrel",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:16.020Z",
"passed": false,
"duration": 1344,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\"wildcat\", \"fox\"]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:18.428Z",
"passed": false,
"duration": 2392,
"reason": "Expected [\"cat\",\"fox\"], but got [\"wildcat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\n {\n \"Image Number\": 1,\n \"Description\": {\n \"Appearance\": \"Large, with a long neck and spotted body\",\n \"Actions/Posture\": \"Eating leaves from a tall tree\",\n \"Environment\": \"Savannah\",\n \"Guess\": \"Giraffe\"\n }\n },\n {\n \"Image Number\": 2,\n \"Description\": {\n \"Appearance\": \"Small, furry, with big round eyes\",\n \"Actions/Posture\": \"Sitting on a couch\",\n \"Environment\": \"Domestic\",\n \"Guess\": \"Cat or Dog, unsure\"\n }\n }\n]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:33.693Z",
"passed": false,
"duration": 15252,
"reason": "Expected [\"cat\",\"fox\"], but got [\n {\n \"image number\": 1,\n \"description\": {\n \"appearance\": \"large, with a long neck and spotted body\",\n \"actions/posture\": \"eating leaves from a tall tree\",\n \"environment\": \"savannah\",\n \"guess\": \"giraffe\"\n }\n },\n {\n \"image number\": 2,\n \"description\": {\n \"appearance\": \"small, furry, with big round eyes\",\n \"actions/posture\": \"sitting on a couch\",\n \"environment\": \"domestic\",\n \"guess\": \"cat or dog, unsure\"\n }\n }\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\n \"cat\",\n \"fox\"\n]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:35.724Z",
"passed": false,
"duration": 2016,
"reason": "Expected [\"cat\",\"fox\"], but got [\n \"cat\",\n \"fox\"\n]",
"category": "files"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems the content of the file \"tools.test.md\" is not available. Please ensure the file exists at the specified path or check the permissions. Alternatively, you can provide the content of the file here, and I can help solve the equations."
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:28.105Z",
"passed": false,
"duration": 3379,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems the content of the file \"tools.test.md\" is not available. please ensure the file exists at the specified path or check the permissions. alternatively, you can provide the content of the file here, and i can help solve the equations.",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}. Return the read data in JSON format.",
"result": [
"{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:32.572Z",
"passed": false,
"duration": 4452,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}, but got {\"test\":\"data\",\"timestamp\":\"2025-04-18t07:18:28.120z\"}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"[\n \"pbbs_oopq3_d.vtu\",\n \"36467_unstructured.vtu\",\n \"Fertility.vtu\",\n \"test-1.vtp\",\n \"1.vtp\",\n \"blow.vtp\",\n \"test.vtu\",\n \"structured.vtu\",\n \"sample.vtp\",\n \"t1_vtu.vtu\",\n \"t1.vtu\",\n \"sample.vtu\"\n]"
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:37.004Z",
"passed": false,
"duration": 4420,
"reason": "Expected [], but got [\n \"pbbs_oopq3_d.vtu\",\n \"36467_unstructured.vtu\",\n \"fertility.vtu\",\n \"test-1.vtp\",\n \"1.vtp\",\n \"blow.vtp\",\n \"test.vtu\",\n \"structured.vtu\",\n \"sample.vtp\",\n \"t1_vtu.vtu\",\n \"t1.vtu\",\n \"sample.vtu\"\n]",
"category": "tools"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems there was an issue retrieving the file content from the specified path. Could you please check if the path is correct or if the file exists?"
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:25.092Z",
"passed": false,
"duration": 5046,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems there was an issue retrieving the file content from the specified path. could you please check if the path is correct or if the file exists?",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}. Return the read data in JSON format.",
"result": [
"{\n \"test\": \"data\",\n \"timestamp\": \"2025-04-18T07:29:25.108Z\"\n}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:30.769Z",
"passed": false,
"duration": 5661,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}, but got {\n \"test\": \"data\",\n \"timestamp\": \"2025-04-18t07:29:25.108z\"\n}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"It seems there is an issue with listing the files in the specified directory. Please ensure that the directory path is correct and accessible. If you have any specific actions you'd like to take or another directory to query, let me know!"
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:37.646Z",
"passed": false,
"duration": 6863,
"reason": "Expected [], but got it seems there is an issue with listing the files in the specified directory. please ensure that the directory path is correct and accessible. if you have any specific actions you'd like to take or another directory to query, let me know!",
"category": "tools"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T07:47:06.841Z",
"passed": true,
"duration": 1115,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T07:47:07.597Z",
"passed": true,
"duration": 741,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T07:47:08.343Z",
"passed": true,
"duration": 733,
"category": "basic"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems I encountered an unexpected error while trying to read the file. Unfortunately, the exact content of the file isn't available. Is there anything else you would like to try or know?"
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:24.194Z",
"passed": false,
"duration": 3925,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems i encountered an unexpected error while trying to read the file. unfortunately, the exact content of the file isn't available. is there anything else you would like to try or know?",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}. Return the read data in JSON format.",
"result": [
"{\\\"test\\\":\\\"data\\\",\\\"timestamp\\\":\\\"2025-04-18T07:47:24.209Z\\\"}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:28.413Z",
"passed": false,
"duration": 4204,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}, but got {\\\"test\\\":\\\"data\\\",\\\"timestamp\\\":\\\"2025-04-18t07:47:24.209z\\\"}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"It seems there is an issue with accessing the files in the specified directory. Please ensure that the directory path is correct and try again. If there's anything else you'd like to check or update, let me know."
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:33.703Z",
"passed": false,
"duration": 5277,
"reason": "Expected [], but got it seems there is an issue with accessing the files in the specified directory. please ensure that the directory path is correct and try again. if there's anything else you'd like to check or update, let me know.",
"category": "tools"
}
],
"highscores": [
@ -18652,14 +19280,14 @@
"test": "addition",
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 893,
"duration_secs": 0.893
"model": "anthropic/claude-3.5-sonnet",
"duration": 408,
"duration_secs": 0.408
},
{
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 1657,
"duration_secs": 1.657
"model": "openai/gpt-4o-mini",
"duration": 741,
"duration_secs": 0.741
}
]
},
@ -18667,14 +19295,14 @@
"test": "multiplication",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 868,
"duration_secs": 0.868
"model": "anthropic/claude-3.5-sonnet",
"duration": 406,
"duration_secs": 0.406
},
{
"model": "openrouter/quasar-alpha",
"duration": 930,
"duration_secs": 0.93
"model": "openai/gpt-4o-mini",
"duration": 666,
"duration_secs": 0.666
}
]
},
@ -18682,14 +19310,14 @@
"test": "division",
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 752,
"duration_secs": 0.752
"model": "anthropic/claude-3.5-sonnet",
"duration": 420,
"duration_secs": 0.42
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 913,
"duration_secs": 0.913
"model": "openai/gpt-4o-mini",
"duration": 905,
"duration_secs": 0.905
}
]
},
@ -18728,8 +19356,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 6140,
"duration_secs": 6.14
"duration": 3925,
"duration_secs": 3.925
}
]
},
@ -18738,8 +19366,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 15354,
"duration_secs": 15.354
"duration": 4204,
"duration_secs": 4.204
}
]
},
@ -18748,8 +19376,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 5214,
"duration_secs": 5.214
"duration": 5277,
"duration_secs": 5.277
}
]
},
@ -18823,8 +19451,8 @@
},
{
"model": "google/gemini-2.0-flash-exp:free",
"duration": 1587,
"duration_secs": 1.587
"duration": 2016,
"duration_secs": 2.016
}
]
},
@ -18992,9 +19620,9 @@
"duration_secs": 0.261
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 3352,
"duration_secs": 3.352
"model": "anthropic/claude-3.5-sonnet",
"duration": 3226,
"duration_secs": 3.226
}
]
},
@ -19044,5 +19672,5 @@
]
}
],
"lastUpdated": "2025-04-07T17:18:43.823Z"
"lastUpdated": "2025-04-18T07:47:33.710Z"
}

View File

@ -2755,6 +2755,322 @@
"duration": 11391,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:25.791Z",
"passed": true,
"duration": 1316,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:26.653Z",
"passed": true,
"duration": 847,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [],
"expected": "8",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:27.074Z",
"passed": false,
"duration": 408,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:28.096Z",
"passed": true,
"duration": 1006,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:28.861Z",
"passed": true,
"duration": 753,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [],
"expected": "24",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:29.280Z",
"passed": false,
"duration": 406,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:30.045Z",
"passed": true,
"duration": 752,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:30.800Z",
"passed": true,
"duration": 742,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [],
"expected": "5",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:31.231Z",
"passed": false,
"duration": 420,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:45:34.980Z",
"passed": false,
"duration": 3736,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [
"yes"
],
"expected": "yes",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:45:45.734Z",
"passed": true,
"duration": 10739,
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "anthropic/claude-3.5-sonnet",
"router": "anthropic/claude-3.5-sonnet",
"timestamp": "2025-04-18T06:45:48.975Z",
"passed": false,
"duration": 3226,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:52.424Z",
"passed": true,
"duration": 2646,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:53.602Z",
"passed": true,
"duration": 1162,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:54.574Z",
"passed": true,
"duration": 958,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:55.253Z",
"passed": true,
"duration": 666,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:47:56.362Z",
"passed": true,
"duration": 1096,
"category": "basic"
},
{
"test": "division",
"prompt": "divide 15 by 3. Return only the number, no explanation.",
"result": [
"5"
],
"expected": "5",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:47:57.279Z",
"passed": true,
"duration": 905,
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [],
"expected": "yes",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T06:48:00.597Z",
"passed": false,
"duration": 3306,
"reason": "Model returned empty response",
"category": "basic"
},
{
"test": "web_content",
"prompt": "Check if the content contains a section about Human prehistory. Reply with \"yes\" if it does, \"no\" if it does not.",
"result": [
"yes"
],
"expected": "yes",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:48:08.212Z",
"passed": true,
"duration": 7600,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T07:47:06.841Z",
"passed": true,
"duration": 1115,
"category": "basic"
},
{
"test": "addition",
"prompt": "add 5 and 3. Return only the number, no explanation.",
"result": [
"8"
],
"expected": "8",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T07:47:07.597Z",
"passed": true,
"duration": 741,
"category": "basic"
},
{
"test": "multiplication",
"prompt": "multiply 8 and 3. Return only the number, no explanation.",
"result": [
"24"
],
"expected": "24",
"model": "openai/gpt-3.5-turbo",
"router": "openai/gpt-3.5-turbo",
"timestamp": "2025-04-18T07:47:08.343Z",
"passed": true,
"duration": 733,
"category": "basic"
}
],
"highscores": [
@ -2762,14 +3078,14 @@
"test": "addition",
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 893,
"duration_secs": 0.893
"model": "anthropic/claude-3.5-sonnet",
"duration": 408,
"duration_secs": 0.408
},
{
"model": "deepseek/deepseek-r1-distill-qwen-14b:free",
"duration": 1657,
"duration_secs": 1.657
"model": "openai/gpt-4o-mini",
"duration": 741,
"duration_secs": 0.741
}
]
},
@ -2777,14 +3093,14 @@
"test": "multiplication",
"rankings": [
{
"model": "openai/gpt-3.5-turbo",
"duration": 868,
"duration_secs": 0.868
"model": "anthropic/claude-3.5-sonnet",
"duration": 406,
"duration_secs": 0.406
},
{
"model": "openrouter/quasar-alpha",
"duration": 930,
"duration_secs": 0.93
"model": "openai/gpt-4o-mini",
"duration": 666,
"duration_secs": 0.666
}
]
},
@ -2792,14 +3108,14 @@
"test": "division",
"rankings": [
{
"model": "openai/gpt-4o-mini",
"duration": 752,
"duration_secs": 0.752
"model": "anthropic/claude-3.5-sonnet",
"duration": 420,
"duration_secs": 0.42
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 913,
"duration_secs": 0.913
"model": "openai/gpt-4o-mini",
"duration": 905,
"duration_secs": 0.905
}
]
},
@ -2812,12 +3128,12 @@
"duration_secs": 0.261
},
{
"model": "openai/gpt-3.5-turbo",
"duration": 3352,
"duration_secs": 3.352
"model": "anthropic/claude-3.5-sonnet",
"duration": 3226,
"duration_secs": 3.226
}
]
}
],
"lastUpdated": "2025-04-07T17:04:11.122Z"
"lastUpdated": "2025-04-18T07:47:08.344Z"
}

View File

@ -6,30 +6,22 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| addition | openai/gpt-4o-mini | 893 | 0.89 |
| addition | deepseek/deepseek-r1-distill-qwen-14b:free | 1657 | 1.66 |
| addition | openai/gpt-3.5-turbo | 1930 | 1.93 |
| addition | openrouter/quasar-alpha | 2215 | 2.21 |
| multiplication | openai/gpt-3.5-turbo | 868 | 0.87 |
| multiplication | openrouter/quasar-alpha | 930 | 0.93 |
| multiplication | openai/gpt-4o-mini | 967 | 0.97 |
| multiplication | deepseek/deepseek-r1-distill-qwen-14b:free | 1139 | 1.14 |
| division | openai/gpt-4o-mini | 752 | 0.75 |
| division | openai/gpt-3.5-turbo | 913 | 0.91 |
| division | openrouter/quasar-alpha | 1182 | 1.18 |
| division | deepseek/deepseek-r1-distill-qwen-14b:free | 1626 | 1.63 |
| web_content | deepseek/deepseek-r1-distill-qwen-14b:free | 261 | 0.26 |
| web_content | openai/gpt-3.5-turbo | 3352 | 3.35 |
| web_content | openai/gpt-4o-mini | 8906 | 8.91 |
| web_content | openrouter/quasar-alpha | 11391 | 11.39 |
| addition | openai/gpt-4o-mini | 1162 | 1.16 |
| addition | openai/gpt-3.5-turbo | 2646 | 2.65 |
| multiplication | openai/gpt-4o-mini | 666 | 0.67 |
| multiplication | openai/gpt-3.5-turbo | 958 | 0.96 |
| division | openai/gpt-4o-mini | 905 | 0.91 |
| division | openai/gpt-3.5-turbo | 1096 | 1.10 |
| web_content | openai/gpt-3.5-turbo | 3306 | 3.31 |
| web_content | openai/gpt-4o-mini | 7600 | 7.60 |
## Summary
- Total Tests: 16
- Passed: 12
- Failed: 4
- Success Rate: 75.00%
- Average Duration: 2436ms (2.44s)
- Total Tests: 8
- Passed: 7
- Failed: 1
- Success Rate: 87.50%
- Average Duration: 2292ms (2.29s)
## Failed Tests
@ -38,36 +30,9 @@
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 3352ms (3.35s)
- Duration: 3306ms (3.31s)
- Reason: Model returned empty response
- Timestamp: 4/7/2025, 7:03:50 PM
### web_content - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 261ms (0.26s)
- Reason: Model returned empty response
- Timestamp: 4/7/2025, 7:03:50 PM
### web_content - openai/gpt-4o-mini
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 8906ms (8.91s)
- Reason: Model returned empty response
- Timestamp: 4/7/2025, 7:03:59 PM
### web_content - openrouter/quasar-alpha
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: ``
- Duration: 11391ms (11.39s)
- Reason: Model returned empty response
- Timestamp: 4/7/2025, 7:04:11 PM
- Timestamp: 4/18/2025, 8:48:00 AM
## Passed Tests
@ -76,94 +41,54 @@
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 1930ms (1.93s)
- Timestamp: 4/7/2025, 7:03:33 PM
### addition - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 1657ms (1.66s)
- Timestamp: 4/7/2025, 7:03:35 PM
- Duration: 2646ms (2.65s)
- Timestamp: 4/18/2025, 8:47:52 AM
### addition - openai/gpt-4o-mini
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 893ms (0.89s)
- Timestamp: 4/7/2025, 7:03:36 PM
### addition - openrouter/quasar-alpha
- Prompt: `add 5 and 3. Return only the number, no explanation.`
- Expected: `8`
- Actual: `8`
- Duration: 2215ms (2.21s)
- Timestamp: 4/7/2025, 7:03:38 PM
- Duration: 1162ms (1.16s)
- Timestamp: 4/18/2025, 8:47:53 AM
### multiplication - openai/gpt-3.5-turbo
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 868ms (0.87s)
- Timestamp: 4/7/2025, 7:03:39 PM
### multiplication - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 1139ms (1.14s)
- Timestamp: 4/7/2025, 7:03:40 PM
- Duration: 958ms (0.96s)
- Timestamp: 4/18/2025, 8:47:54 AM
### multiplication - openai/gpt-4o-mini
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 967ms (0.97s)
- Timestamp: 4/7/2025, 7:03:41 PM
### multiplication - openrouter/quasar-alpha
- Prompt: `multiply 8 and 3. Return only the number, no explanation.`
- Expected: `24`
- Actual: `24`
- Duration: 930ms (0.93s)
- Timestamp: 4/7/2025, 7:03:42 PM
- Duration: 666ms (0.67s)
- Timestamp: 4/18/2025, 8:47:55 AM
### division - openai/gpt-3.5-turbo
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 913ms (0.91s)
- Timestamp: 4/7/2025, 7:03:43 PM
### division - deepseek/deepseek-r1-distill-qwen-14b:free
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 1626ms (1.63s)
- Timestamp: 4/7/2025, 7:03:45 PM
- Duration: 1096ms (1.10s)
- Timestamp: 4/18/2025, 8:47:56 AM
### division - openai/gpt-4o-mini
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 752ms (0.75s)
- Timestamp: 4/7/2025, 7:03:45 PM
- Duration: 905ms (0.91s)
- Timestamp: 4/18/2025, 8:47:57 AM
### division - openrouter/quasar-alpha
### web_content - openai/gpt-4o-mini
- Prompt: `divide 15 by 3. Return only the number, no explanation.`
- Expected: `5`
- Actual: `5`
- Duration: 1182ms (1.18s)
- Timestamp: 4/7/2025, 7:03:47 PM
- Prompt: `Check if the content contains a section about Human prehistory. Reply with "yes" if it does, "no" if it does not.`
- Expected: `yes`
- Actual: `yes`
- Duration: 7600ms (7.60s)
- Timestamp: 4/18/2025, 8:48:08 AM

View File

@ -2548,6 +2548,183 @@
"duration": 1587,
"reason": "Expected [\"cat\",\"fox\"], but got [\"cat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:00.247Z",
"passed": true,
"duration": 1373,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort"
],
"expected": "bubble sort",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:02.126Z",
"passed": true,
"duration": 1864,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the name of the algorithm implemented in these files? Return only the name.",
"result": [
"Bubble Sort\n"
],
"expected": "bubble sort",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:03.516Z",
"passed": true,
"duration": 1377,
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\"factorial\", \"bubbleSort\"]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:04.622Z",
"passed": false,
"duration": 1093,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\"factorial\", \"bubblesort\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n {\n \"Algorithm\": \"Factorial Calculation\",\n \"Type\": \"Mathematical\",\n \"Function Name\": \"factorial\",\n \"Language\": \"JavaScript\"\n },\n {\n \"Algorithm\": \"Bubble Sort\",\n \"Type\": \"Sorting\",\n \"Function Name\": \"bubbleSort\",\n \"Language\": \"JavaScript\"\n }\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:08.485Z",
"passed": false,
"duration": 3850,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n {\n \"algorithm\": \"factorial calculation\",\n \"type\": \"mathematical\",\n \"function name\": \"factorial\",\n \"language\": \"javascript\"\n },\n {\n \"algorithm\": \"bubble sort\",\n \"type\": \"sorting\",\n \"function name\": \"bubblesort\",\n \"language\": \"javascript\"\n }\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "List all algorithms implemented in these files, as JSON array.",
"result": [
"[\n \"factorial\",\n \"bubbleSort\"\n]"
],
"expected": "[\"bubble sort\",\"factorial\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:10.247Z",
"passed": false,
"duration": 1748,
"reason": "Expected [\"bubble sort\",\"factorial\"], but got [\n \"factorial\",\n \"bubblesort\"\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:11.385Z",
"passed": false,
"duration": 1126,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel"
],
"expected": "Injection Barrel",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:14.660Z",
"passed": false,
"duration": 3262,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What is the title of the product in data.json? Return only the title.",
"result": [
"Injection Barrel\n"
],
"expected": "Injection Barrel",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:16.020Z",
"passed": false,
"duration": 1344,
"reason": "Expected Injection Barrel, but got injection barrel",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\"wildcat\", \"fox\"]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "openai/gpt-4o-mini",
"router": "openai/gpt-4o-mini",
"timestamp": "2025-04-18T06:49:18.428Z",
"passed": false,
"duration": 2392,
"reason": "Expected [\"cat\",\"fox\"], but got [\"wildcat\", \"fox\"]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\n {\n \"Image Number\": 1,\n \"Description\": {\n \"Appearance\": \"Large, with a long neck and spotted body\",\n \"Actions/Posture\": \"Eating leaves from a tall tree\",\n \"Environment\": \"Savannah\",\n \"Guess\": \"Giraffe\"\n }\n },\n {\n \"Image Number\": 2,\n \"Description\": {\n \"Appearance\": \"Small, furry, with big round eyes\",\n \"Actions/Posture\": \"Sitting on a couch\",\n \"Environment\": \"Domestic\",\n \"Guess\": \"Cat or Dog, unsure\"\n }\n }\n]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"router": "nvidia/llama-3.3-nemotron-super-49b-v1:free",
"timestamp": "2025-04-18T06:49:33.693Z",
"passed": false,
"duration": 15252,
"reason": "Expected [\"cat\",\"fox\"], but got [\n {\n \"image number\": 1,\n \"description\": {\n \"appearance\": \"large, with a long neck and spotted body\",\n \"actions/posture\": \"eating leaves from a tall tree\",\n \"environment\": \"savannah\",\n \"guess\": \"giraffe\"\n }\n },\n {\n \"image number\": 2,\n \"description\": {\n \"appearance\": \"small, furry, with big round eyes\",\n \"actions/posture\": \"sitting on a couch\",\n \"environment\": \"domestic\",\n \"guess\": \"cat or dog, unsure\"\n }\n }\n]",
"category": "files"
},
{
"test": "file-inclusion",
"prompt": "What animals are shown in these images? Return as JSON array.",
"result": [
"[\n \"cat\",\n \"fox\"\n]"
],
"expected": "[\"cat\",\"fox\"]",
"model": "google/gemini-2.0-flash-exp:free",
"router": "google/gemini-2.0-flash-exp:free",
"timestamp": "2025-04-18T06:49:35.724Z",
"passed": false,
"duration": 2016,
"reason": "Expected [\"cat\",\"fox\"], but got [\n \"cat\",\n \"fox\"\n]",
"category": "files"
}
],
"highscores": [
@ -2561,11 +2738,11 @@
},
{
"model": "google/gemini-2.0-flash-exp:free",
"duration": 1587,
"duration_secs": 1.587
"duration": 2016,
"duration_secs": 2.016
}
]
}
],
"lastUpdated": "2025-04-06T22:28:24.063Z"
"lastUpdated": "2025-04-18T06:49:35.725Z"
}

View File

@ -6,17 +6,17 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| file-inclusion | google/gemini-2.0-flash-exp:free | 1587 | 1.59 |
| file-inclusion | openai/gpt-4o-mini | 2012 | 2.01 |
| file-inclusion | openrouter/quasar-alpha | 2346 | 2.35 |
| file-inclusion | google/gemini-2.0-flash-exp:free | 2016 | 2.02 |
| file-inclusion | openai/gpt-4o-mini | 2392 | 2.39 |
| file-inclusion | nvidia/llama-3.3-nemotron-super-49b-v1:free | 15252 | 15.25 |
## Summary
- Total Tests: 12
- Passed: 2
- Failed: 10
- Success Rate: 16.67%
- Average Duration: 1427ms (1.43s)
- Passed: 3
- Failed: 9
- Success Rate: 25.00%
- Average Duration: 3058ms (3.06s)
## Failed Tests
@ -24,12 +24,59 @@
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `["cat", "fox"]`
- Duration: 2012ms (2.01s)
- Reason: Expected ["cat","fox"], but got ["cat", "fox"]
- Timestamp: 4/7/2025, 12:28:20 AM
- Actual: `["wildcat", "fox"]`
- Duration: 2392ms (2.39s)
- Reason: Expected ["cat","fox"], but got ["wildcat", "fox"]
- Timestamp: 4/18/2025, 8:49:18 AM
### file-inclusion - openrouter/quasar-alpha
### file-inclusion - nvidia/llama-3.3-nemotron-super-49b-v1:free
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `[
{
"Image Number": 1,
"Description": {
"Appearance": "Large, with a long neck and spotted body",
"Actions/Posture": "Eating leaves from a tall tree",
"Environment": "Savannah",
"Guess": "Giraffe"
}
},
{
"Image Number": 2,
"Description": {
"Appearance": "Small, furry, with big round eyes",
"Actions/Posture": "Sitting on a couch",
"Environment": "Domestic",
"Guess": "Cat or Dog, unsure"
}
}
]`
- Duration: 15252ms (15.25s)
- Reason: Expected ["cat","fox"], but got [
{
"image number": 1,
"description": {
"appearance": "large, with a long neck and spotted body",
"actions/posture": "eating leaves from a tall tree",
"environment": "savannah",
"guess": "giraffe"
}
},
{
"image number": 2,
"description": {
"appearance": "small, furry, with big round eyes",
"actions/posture": "sitting on a couch",
"environment": "domestic",
"guess": "cat or dog, unsure"
}
}
]
- Timestamp: 4/18/2025, 8:49:33 AM
### file-inclusion - google/gemini-2.0-flash-exp:free
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
@ -37,21 +84,12 @@
"cat",
"fox"
]`
- Duration: 2346ms (2.35s)
- Duration: 2016ms (2.02s)
- Reason: Expected ["cat","fox"], but got [
"cat",
"fox"
]
- Timestamp: 4/7/2025, 12:28:22 AM
### file-inclusion - google/gemini-2.0-flash-exp:free
- Prompt: `What animals are shown in these images? Return as JSON array.`
- Expected: `["cat","fox"]`
- Actual: `["cat", "fox"]`
- Duration: 1587ms (1.59s)
- Reason: Expected ["cat","fox"], but got ["cat", "fox"]
- Timestamp: 4/7/2025, 12:28:24 AM
- Timestamp: 4/18/2025, 8:49:35 AM
## Passed Tests

View File

@ -357,6 +357,141 @@
"duration": 5214,
"reason": "Expected [], but got it seems there is an issue with listing the files in the specified directory. please ensure that the directory path is correct and accessible, or try checking any related permission settings.",
"category": "tools"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems the content of the file \"tools.test.md\" is not available. Please ensure the file exists at the specified path or check the permissions. Alternatively, you can provide the content of the file here, and I can help solve the equations."
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:28.105Z",
"passed": false,
"duration": 3379,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems the content of the file \"tools.test.md\" is not available. please ensure the file exists at the specified path or check the permissions. alternatively, you can provide the content of the file here, and i can help solve the equations.",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}. Return the read data in JSON format.",
"result": [
"{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:32.572Z",
"passed": false,
"duration": 4452,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:18:28.120Z\"}, but got {\"test\":\"data\",\"timestamp\":\"2025-04-18t07:18:28.120z\"}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"[\n \"pbbs_oopq3_d.vtu\",\n \"36467_unstructured.vtu\",\n \"Fertility.vtu\",\n \"test-1.vtp\",\n \"1.vtp\",\n \"blow.vtp\",\n \"test.vtu\",\n \"structured.vtu\",\n \"sample.vtp\",\n \"t1_vtu.vtu\",\n \"t1.vtu\",\n \"sample.vtu\"\n]"
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:18:37.004Z",
"passed": false,
"duration": 4420,
"reason": "Expected [], but got [\n \"pbbs_oopq3_d.vtu\",\n \"36467_unstructured.vtu\",\n \"fertility.vtu\",\n \"test-1.vtp\",\n \"1.vtp\",\n \"blow.vtp\",\n \"test.vtu\",\n \"structured.vtu\",\n \"sample.vtp\",\n \"t1_vtu.vtu\",\n \"t1.vtu\",\n \"sample.vtu\"\n]",
"category": "tools"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems there was an issue retrieving the file content from the specified path. Could you please check if the path is correct or if the file exists?"
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:25.092Z",
"passed": false,
"duration": 5046,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems there was an issue retrieving the file content from the specified path. could you please check if the path is correct or if the file exists?",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}. Return the read data in JSON format.",
"result": [
"{\n \"test\": \"data\",\n \"timestamp\": \"2025-04-18T07:29:25.108Z\"\n}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:30.769Z",
"passed": false,
"duration": 5661,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:29:25.108Z\"}, but got {\n \"test\": \"data\",\n \"timestamp\": \"2025-04-18t07:29:25.108z\"\n}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"It seems there is an issue with listing the files in the specified directory. Please ensure that the directory path is correct and accessible. If you have any specific actions you'd like to take or another directory to query, let me know!"
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:29:37.646Z",
"passed": false,
"duration": 6863,
"reason": "Expected [], but got it seems there is an issue with listing the files in the specified directory. please ensure that the directory path is correct and accessible. if you have any specific actions you'd like to take or another directory to query, let me know!",
"category": "tools"
},
{
"test": "equation_solving",
"prompt": "Read the file at C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\units\\tools.test.md and solve all equations. Return the results in the specified JSON format.",
"result": [
"It seems I encountered an unexpected error while trying to read the file. Unfortunately, the exact content of the file isn't available. Is there anything else you would like to try or know?"
],
"expected": "[{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:24.194Z",
"passed": false,
"duration": 3925,
"reason": "Expected [{\"equation\":\"2x + 5 = 13\",\"result\":\"4\"},{\"equation\":\"3y - 7 = 20\",\"result\":\"9\"},{\"equation\":\"4z + 8 = 32\",\"result\":\"6\"}], but got it seems i encountered an unexpected error while trying to read the file. unfortunately, the exact content of the file isn't available. is there anything else you would like to try or know?",
"category": "tools"
},
{
"test": "file_operations",
"prompt": "Write the following data to C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data\\test-data.json and then read it back: {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}. Return the read data in JSON format.",
"result": [
"{\\\"test\\\":\\\"data\\\",\\\"timestamp\\\":\\\"2025-04-18T07:47:24.209Z\\\"}"
],
"expected": "{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:28.413Z",
"passed": false,
"duration": 4204,
"reason": "Expected {\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}, but got {\\\"test\\\":\\\"data\\\",\\\"timestamp\\\":\\\"2025-04-18t07:47:24.209z\\\"}",
"category": "tools"
},
{
"test": "directory_listing",
"prompt": "List all files in the directory C:\\Users\\zx\\Desktop\\polymech\\polymech-mono\\packages\\kbot\\tests\\unit\\test-data. Return the list as a JSON array of filenames.",
"result": [
"It seems there is an issue with accessing the files in the specified directory. Please ensure that the directory path is correct and try again. If there's anything else you'd like to check or update, let me know."
],
"expected": "[]",
"model": "openai/gpt-4o",
"router": "openai/gpt-4o",
"timestamp": "2025-04-18T07:47:33.703Z",
"passed": false,
"duration": 5277,
"reason": "Expected [], but got it seems there is an issue with accessing the files in the specified directory. please ensure that the directory path is correct and try again. if there's anything else you'd like to check or update, let me know.",
"category": "tools"
}
],
"highscores": [
@ -365,8 +500,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 6140,
"duration_secs": 6.14
"duration": 3925,
"duration_secs": 3.925
}
]
},
@ -375,8 +510,8 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 15354,
"duration_secs": 15.354
"duration": 4204,
"duration_secs": 4.204
}
]
},
@ -385,11 +520,11 @@
"rankings": [
{
"model": "openai/gpt-4o",
"duration": 5214,
"duration_secs": 5.214
"duration": 5277,
"duration_secs": 5.277
}
]
}
],
"lastUpdated": "2025-04-07T17:09:06.034Z"
"lastUpdated": "2025-04-18T07:47:33.703Z"
}

View File

@ -6,9 +6,9 @@
| Test | Model | Duration (ms) | Duration (s) |
|------|-------|--------------|--------------|
| equation_solving | openai/gpt-4o | 6140 | 6.14 |
| file_operations | openai/gpt-4o | 15354 | 15.35 |
| directory_listing | openai/gpt-4o | 5214 | 5.21 |
| equation_solving | openai/gpt-4o | 3925 | 3.92 |
| file_operations | openai/gpt-4o | 4204 | 4.20 |
| directory_listing | openai/gpt-4o | 5277 | 5.28 |
## Summary
@ -16,7 +16,7 @@
- Passed: 0
- Failed: 3
- Success Rate: 0.00%
- Average Duration: 8903ms (8.90s)
- Average Duration: 4469ms (4.47s)
## Failed Tests
@ -24,44 +24,28 @@
- Prompt: `Read the file at C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\units\tools.test.md and solve all equations. Return the results in the specified JSON format.`
- Expected: `[{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}]`
- Actual: `It seems like I need to access the content of "tools.test.md" to identify and solve the equations. Let's read the file to identify its contents and equations first. Please ensure the file exists and I have permission to read it.`
- Duration: 6140ms (6.14s)
- Reason: Expected [{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}], but got it seems like i need to access the content of "tools.test.md" to identify and solve the equations. let's read the file to identify its contents and equations first. please ensure the file exists and i have permission to read it.
- Timestamp: 4/7/2025, 7:08:45 PM
- Actual: `It seems I encountered an unexpected error while trying to read the file. Unfortunately, the exact content of the file isn't available. Is there anything else you would like to try or know?`
- Duration: 3925ms (3.92s)
- Reason: Expected [{"equation":"2x + 5 = 13","result":"4"},{"equation":"3y - 7 = 20","result":"9"},{"equation":"4z + 8 = 32","result":"6"}], but got it seems i encountered an unexpected error while trying to read the file. unfortunately, the exact content of the file isn't available. is there anything else you would like to try or know?
- Timestamp: 4/18/2025, 9:47:24 AM
### file_operations - openai/gpt-4o
- Prompt: `Write the following data to C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json and then read it back: {"test":"data","timestamp":"2025-04-07T17:08:45.451Z"}. Return the read data in JSON format.`
- Expected: `{"test":"data","timestamp":"2025-04-07T17:08:45.451Z"}`
- Actual: `I'm facing continuous issues in accessing the content of the file. However, I verified its existence. Heres a brief overview of what I attempted:
- I successfully wrote the data to the specified path.
- I checked the file's existence at the location.
- Multiple attempts to read the file content resulted in no data retrieval.
You might want to manually check the file content at:
`C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json``
- Duration: 15354ms (15.35s)
- Reason: Expected {"test":"data","timestamp":"2025-04-07T17:08:45.451Z"}, but got i'm facing continuous issues in accessing the content of the file. however, i verified its existence. heres a brief overview of what i attempted:
- i successfully wrote the data to the specified path.
- i checked the file's existence at the location.
- multiple attempts to read the file content resulted in no data retrieval.
you might want to manually check the file content at:
`c:\users\zx\desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json`
- Timestamp: 4/7/2025, 7:09:00 PM
- Prompt: `Write the following data to C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data\test-data.json and then read it back: {"test":"data","timestamp":"2025-04-18T07:47:24.209Z"}. Return the read data in JSON format.`
- Expected: `{"test":"data","timestamp":"2025-04-18T07:47:24.209Z"}`
- Actual: `{\"test\":\"data\",\"timestamp\":\"2025-04-18T07:47:24.209Z\"}`
- Duration: 4204ms (4.20s)
- Reason: Expected {"test":"data","timestamp":"2025-04-18T07:47:24.209Z"}, but got {\"test\":\"data\",\"timestamp\":\"2025-04-18t07:47:24.209z\"}
- Timestamp: 4/18/2025, 9:47:28 AM
### directory_listing - openai/gpt-4o
- Prompt: `List all files in the directory C:\Users\zx\Desktop\polymech\polymech-mono\packages\kbot\tests\unit\test-data. Return the list as a JSON array of filenames.`
- Expected: `[]`
- Actual: `It seems there is an issue with listing the files in the specified directory. Please ensure that the directory path is correct and accessible, or try checking any related permission settings.`
- Duration: 5214ms (5.21s)
- Reason: Expected [], but got it seems there is an issue with listing the files in the specified directory. please ensure that the directory path is correct and accessible, or try checking any related permission settings.
- Timestamp: 4/7/2025, 7:09:06 PM
- Actual: `It seems there is an issue with accessing the files in the specified directory. Please ensure that the directory path is correct and try again. If there's anything else you'd like to check or update, let me know.`
- Duration: 5277ms (5.28s)
- Reason: Expected [], but got it seems there is an issue with accessing the files in the specified directory. please ensure that the directory path is correct and try again. if there's anything else you'd like to check or update, let me know.
- Timestamp: 4/18/2025, 9:47:33 AM
## Passed Tests