robodogcli 2.6.11

Robodog

Robodog Code

Overview

Robodog is a lightweight, zero-install, command-line style generative AI client that integrates multiple providers (OpenAI, OpenRouter, LlamaAI, DeepSeek, Anthropic, Sarvam AI, Google Search API, and more) into a unified interface. Key capabilities include:

• Access to cutting-edge models: o4-mini (200k context), gpt-4, gpt-4-turbo, dall-e-3, Llama3-70b, Claude Opus/Sonnet, Mistral, Sarvam-M, Gemma 3n, etc.
• Massive context windows (up to 200k tokens) across different models.
• Seamless chat history & knowledge management with stashes and snapshots.
• File import/export (text, Markdown, code, PDF, images via OCR).
• In-chat file inclusion from a local MCP server.
• Built-in web search integration.
• Image generation & OCR pipelines.
• AI-driven web automation/testing via Playwright (/play).
• Raw MCP operations (/mcp).
• Todo.md task
• Accessible, retro “console” UI with customizable themes and responsive design.

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Try Robodog

• Web: https://adourish.github.io/robodog/robodog/dist/
• Android: https://play.google.com/store/apps/details?id=com.unclebulgaria.robodog
• npm packages:
  • npm install robodoglib
  • npm install robodogcli
  • npm install robodog
• Python:
  • pip install robodogcli
  • pip show -f robodogcli
  • python -m robodogcli.cli --help
  • pip install --upgrade requests tiktoken PyYAML openai playwright pydantic langchain (optional)

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Configuration

Click the ⚙️ icon in the top-menu to open settings, or edit your YAML directly:

configs:
  providers:
    - provider: openAI
      baseUrl: "https://api.openai.com"
      apiKey: "<YOUR_OPENAI_KEY>"
    - provider: openRouter
      baseUrl: "https://openrouter.ai/api/v1"
      apiKey: "<YOUR_ROUTER_KEY>"
    - provider: searchAPI
      baseUrl: "https://google-search74.p.rapidapi.com"
      apiKey: "<YOUR_RAPIDAPI_KEY>"

  specialists:
    - specialist: nlp
      resume: natural language processing, content generation
    - specialist: gi
      resume: image generation from text
    - specialist: search
      resume: web search integration

  mcpServer:
    baseUrl: "http://localhost:2500"
    apiKey: "testtoken"

  models:
    - provider: openAI
      model: gpt-4
      stream: true
      specialist: nlp
      about: best for reasoning
    - provider: openAI
      model: o4-mini
      stream: true
      specialist: nlp
      about: 200k token context, advanced reasoning
    - provider: openAI
      model: dall-e-3
      stream: false
      specialist: gi
      about: image creation
    - provider: searchAPI
      model: search
      stream: false
      specialist: search
      about: web search results

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Supported Models

OpenAI

• gpt-4, gpt-4-turbo, gpt-3.5-turbo, gpt-3.5-turbo-16k, o4-mini, o1
• dall-e-3

Others

• LlamaAI: llama3-70b
• Anthropic: Claude Opus 4, Claude Sonnet 4
• DeepSeek R1
• Mistral Medium 3, Devstral-Small
• Sarvam-M
• Google Gemma 3n E4B

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Key Features

• Multi-Provider Support: Switch between any configured provider or model on the fly (/model).
• Chat & Knowledge: Separate panes for Chat History (💭) and Knowledge (📝)—both resizable.
• Stash Management:
  • /stash <name> — save current chat+knowledge
  • /pop <name> — restore a stash
  • /list — list all stashes
• File Import/Export:
  • /import <glob> — import files (.md, .js, .py, .pdf, images via OCR)
  • /export <file> — export chat+knowledge snapshot
• MCP File Inclusion:
  • /include all
  • /include file=README.md
  • /include pattern=*.js|*.css recursive
  • /include dir=src pattern=*.py recursive
• Raw MCP Operations:
  • /mcp OP [JSON] — e.g. /mcp LIST_FILES, /mcp READ_FILE {"path":"./foo.py"}
• Web Fetch & Automation:
  • /curl [--no-headless] <url> [<url2>|<js>] — fetch pages or run JS
  • /play <instructions> — run AI-driven Playwright tests end-to-end
• Web Search:
  • Use search model or click 🔎 to perform live web queries.
• Image Generation & OCR: Ask questions to dall-e-3 or drop an image to extract text via OCR.
• Interactive Console UI: Retro “pip-boy green” theme, responsive on desktop/mobile, accessible.
• Performance & Size Indicators: Emoji feedback for processing speed and token usage.
• Extensive Command Palette: /help lists all commands, indicators, and settings.

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Usage Examples

1) AI-Driven Web Tests with /play

Robodog will:

1. Parse your natural-language instructions into discrete steps
2. Spin up a headless browser and execute each step, retrying once on failure
3. Log each attempt and summarize as Success/Failure

/play navigate to https://example.com, extract the page title, and verify it contains 'Example Domain'

Output snippet:

Instructions: navigate to https://example.com, extract the page title, and verify it contains 'Example Domain'

----- Parsed steps -----
1. Navigate to https://example.com
2. Extract the page title
3. Verify the title contains 'Example Domain'

>>> Starting step 1: Navigate to https://example.com
--- Attempt 1 on page: <no title> (about:blank) ---
Step 1 attempt 1 → Success: None

...  

--- /play summary ---
Step 1: Success
Step 2: Success
Step 3: Success

2) Fetch & Scrape with /curl

/curl https://example.com

→ prints page text.

/curl --no-headless example.com document.querySelector('h1').innerText

→ runs JS snippet to extract an element.

3) Include Local Files via MCP

/include pattern=*.js recursive fix bug in parser

→ pulls matching files from your project into context, then asks the LLM.

4) Raw MCP Commands

/mcp LIST_FILES
/mcp READ_FILE {"path":"./src/cli.py"}

5) Switch Model on the Fly

/model o4-mini

→ “Model set to: o4-mini”

6) Import & Export

/import **/*.md
/export conversation_snapshot.txt

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Robodog CLI Usage

python -m robodog.cli \
  --folders /path/to/project/src /another/root \
  --host 127.0.0.1 \
  --port 2500 \
  --token my_mcp_token \
  --config config.yaml \
  --model o4-mini

Type /help in the CLI for a full list of commands.

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MCP File Service Syntax

/include all
/include file=*.md
/include pattern=*.py recursive
/include dir=src pattern=*.js recursive

Globs: *, ?, character classes. No full regex.

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MCP Server Startup

python -m robodog.cli --folders . --port 2500 --token testtoken --config config.yaml

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Supported File Formats

• Text & Markdown: .txt, .md, .markdown
• Code: .js, .ts, .py, .java, .c, .cpp, .go, .rs
• Config/Data: .yaml, .yml, .json, .xml, .csv
• PDF: .pdf
• Images: .png, .jpg, .jpeg, .gif, .bmp, .tiff

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Command Reference

Run /help in-app or see the list below:

/help                    — show help  
/models                  — list configured models  
/model <name>            — switch model  
/key <prov> <key>        — set API key for provider  
/getkey <prov>           — view API key for provider  
/import <glob>           — import files into knowledge  
/export <file>           — export chat+knowledge snapshot  
/clear                   — clear chat & knowledge  
/stash <name>            — stash chat+knowledge  
/pop <name>              — restore a stash  
/list                    — list stashes  
/temperature <n>         — set temperature (0–2)  
/top_p <n>               — set nucleus sampling  
/max_tokens <n>          — set max tokens  
/frequency_penalty <n>   — set frequency penalty  
/presence_penalty <n>    — set presence penalty  
/stream                  — enable streaming mode  
/rest                    — disable streaming (REST mode)  
/folders <dirs>          — update MCP roots  
/include …               — include files via MCP  
/curl …                  — fetch web pages / run JS  
/play <instructions>     — run AI-driven Playwright tests  
/mcp OP [JSON]           — invoke raw MCP operation  

Keyboard Shortcuts:

• CTRL+SHIFT+UP — cycle through stashes
• CTRL+S — save a snapshot

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Indicators & Emojis

• [💭] Chat History
• [📝] Knowledge Content
• [💬] Chat Text
• [👾] User
• [🤖] Assistant
• [💾] System
• [🐋/🦕/🐘/🐁] Token usage levels
• [🐢/🦘/🐆/🦌/🐕] Performance (response time)

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Accessibility & PWA

• Meets Section 508 and WCAG principles.
• Installable as a PWA on supported devices.

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Build & Run

# Clone or unzip robodog
cd robodog
python build.py
open ./dist/robodog.html

npm install robodoglib 
npm install robodogcli 
npm install robodog
pip install robodogcli
pip show -f robodogcli
python -m robodogcli.cli --help
python -m playwright install

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Enjoy Robodog AI—the future of fast, contextual, and extensible AI interaction!