Using the Pythagora VS Code extension with your own API key

Note: This is only applicable to users who want to use Pythagora with their own API key. Pythagora users with a monthly subscription do not need to follow the steps below, as no API key is required for paid users.

To setup the Pythagora VS Code extension using your own API key:

1 - Open the directory where you installed the Pythagora core files.

• In Local development mode, this directory will be specified by you inside of Pythagora's settings underneath Pythagora Core path.

• In Cloud development mode, open a new Terminal tab directly inside of VS Code (as opposed to using a separate command line application). Navigate to /pythagora/pythagora-core.

2 - Open the config.json file.

3 - Edit the config.json file to include the LLM you want to use and remove the other LLMs that you won't use.

4 - Add your own API keys and update the base_url to the config.json file:

• For OpenAI, the llm section of the config.json file should have:

"llm": {
  "openai": {
    "base_url": "https://api.openai.com/v1/",
    "api_key": "sk-your-api-key",

• For Anthropic:

"llm": {
  "anthropic": {
    "base_url": "https://api.anthropic.com/",
    "api_key": "sk-your-api-key",
    "connect_timeout": 60,
    "read_timeout": 60,
    "extra": null

5 - Update the all of the agents in the agent section of the config.json file so the provider and model properties contain the correct LLM and model. An example of one agent using Anthropic (note: there may be more than one agent):

"agent": {
    "default": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20240620",
      "temperature": 0.5
      "connect_timeout": 60,
      "read_timeout": 60,
      "extra": null
    },

Note: Double-check the LLM's official documentation to ensure you have the correct model number. Click here for the OpenAI documentation. And here for Anthropic's docs. The wiki's Integrations Guides section has additional config examples for local LLM's, etc.

6 - Remove any commented out code from the config.json file.

7 - That's it! Pythagora's settings page should show that you're using your own API key.

Example config file using both OpenAI and Anthropic:

Note: In your own config.json file, be sure to only edit the llm and agent sections. The remaining sections contain data unique to your installation, such as the installation directory in the prompt section, etc.

If you copy/paste the entire example code into your own config.json file it will not work properly.

{
  "llm": {
    "openai": {
      "base_url": "https://api.openai.com/v1/",
      "api_key": "open_ai_api_key_here",
      "connect_timeout": 60.0,
      "read_timeout": 60.0,
      "extra": null
    },
    "anthropic": {
      "base_url": "https://api.anthropic.com/",
      "api_key": "anthropic_api_key_here",
      "connect_timeout": 60.0,
      "read_timeout": 60.0,
      "extra": null
    }
  },
  "agent": {
    "default": {
      "provider": "openai",
      "model": "gpt-4o-2024-05-13",
      "temperature": 0.5
    },
    "BugHunter.check_logs": {
      "provider": "anthropic",
      "model": "claude-3-7-sonnet-20250219",
      "temperature": 0.5
    },
    "CodeMonkey": {
      "provider": "anthropic",
      "model": "claude-3-7-sonnet-20250219",
      "temperature": 0.0
    },
    "CodeMonkey.code_review": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20240620",
      "temperature": 0.0
    },
    "CodeMonkey.describe_files": {
      "provider": "openai",
      "model": "gpt-4o-mini-2024-07-18",
      "temperature": 0.0
    },
    "Frontend": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20241022",
      "temperature": 0.0
    },
    "get_relevant_files": {
      "provider": "openai",
      "model": "gpt-4o-2024-05-13",
      "temperature": 0.5
    },
    "Developer.parse_task": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20241022",
      "temperature": 0.0
    },
    "SpecWriter": {
      "provider": "openai",
      "model": "gpt-4-0125-preview",
      "temperature": 0.0
    },
    "Developer.breakdown_current_task": {
      "provider": "anthropic",
      "model": "claude-3-7-sonnet-20250219",
      "temperature": 0.5
    },
    "TechLead.plan_epic": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20240620",
      "temperature": 0.5
    },
    "TechLead.epic_breakdown": {
      "provider": "anthropic",
      "model": "claude-3-5-sonnet-20241022",
      "temperature": 0.5
    },
    "Troubleshooter.generate_bug_report": {
      "provider": "anthropic",
      "model": "claude-3-7-sonnet-20250219",
      "temperature": 0.5
    },
    "Troubleshooter.get_run_command": {
      "provider": "anthropic",
      "model": "claude-3-7-sonnet-20250219",
      "temperature": 0.0
    }
  },
  "prompt": {
    "paths": [
      "/Users/Py-example-user/pythagora-core/core/prompts"
    ]
  },
  "log": {
    "level": "DEBUG",
    "format": "%(asctime)s %(levelname)s [%(name)s] %(message)s",
    "output": "pythagora.log"
  },
  "db": {
    "url": "sqlite+aiosqlite:///data/database/pythagora.db",
    "debug_sql": false
  },
  "ui": {
    "type": "plain"
  },
  "fs": {
    "type": "local",
    "workspace_root": "/Users/Py-example-user/pythagora-core/workspace",
    "ignore_paths": [
      ".git",
      ".gpt-pilot",
      ".idea",
      ".vscode",
      ".next",
      ".DS_Store",
      "__pycache__",
      "site-packages",
      "node_modules",
      "package-lock.json",
      "venv",
      ".venv",
      "dist",
      "build",
      "target",
      "*.min.js",
      "*.min.css",
      "*.svg",
      "*.csv",
      "*.log",
      "go.sum",
      "migration_lock.toml"
    ],
    "ignore_size_threshold": 50000
  }
}