Skip to main content

A Python package for generating SignalWire Markup Language (SWML)

Project description

SignalWire ML

A Python package for generating SignalWire ML configurations.

Installation

SignalWireSWML Class

The SignalWireSWML class is the core of this package. It allows you to programmatically build, configure, and export SWML (SignalWire Markup Language) configurations for AI-powered agents and applications.

Key Features

  • Add standard and AI applications to sections
  • Configure AI prompts, post-prompts, hints, languages, and parameters
  • Integrate SWAIG (SignalWire AI Gateway) functions, includes, and defaults
  • Output configurations as JSON or YAML, with optional ordering for consistency

Example: Building a MovieBot AI Agent

Below is a complete example of how to use SignalWireSWML to build a MovieBot agent with advanced AI and SWAIG integration:

from signalwire-swml import SignalWireSWML

def build_movie_ai_agent():
    swml = SignalWireSWML(version="1.0.0")

    # Add standard applications
    swml.add_application("main", "answer")
    swml.add_application("main", "record_call", {
        "format": "wav",
        "stereo": True
    })

    # Set up SWAIG defaults and includes
    swml.add_aiswaigdefaults({
        "web_hook_url": "https://botworks/swaig/1/11"
    })
    swml.add_aiinclude({
        "url": "https://moviebot/swaig",
        "functions": [
            "search_movie",
            "get_movie_details",
            "discover_movies",
            "get_trending_movies",
            "get_movie_recommendations",
            "get_genre_list",
            "get_upcoming_movies",
            "get_similar_movies",
            "get_now_playing_movies",
            "multi_search",
            "get_person_detail",
            "get_movie_credits"
        ]
    })

    # Set AI language
    swml.add_ailanguage({
        "code": "en-US",
        "language": "English",
        "name": "English",
        "voice": "openai.alloy"
    })

    # Set AI params
    swml.add_aiparams({
        "debug_webhook_level": "2",
        "debug_webhook_url": "https://botworks/debugwebhook/1/11",
        "enable_accounting": "true"
    })

    # Set AI post prompt
    swml.set_aipost_prompt({
        "max_tokens": 0,
        "temperature": 0.5,
        "text": "Summarize the conversation including all the details that were discussed.",
        "top_p": 0.5
    })

    # Set AI post prompt URL
    swml.set_aipost_prompt_url({
        "post_prompt_url": "https://botworks/postprompt/1/11"
    })

    # Set AI prompt
    swml.set_aiprompt({
        "temperature": 0.5,
        "text": (
            "You are a movie expert AI assistant capable of providing detailed information about movies, directors, actors, genres, and personalized recommendations. "
            "You have access to the following functions to retrieve up-to-date movie data:\n\n"
            "1. search_movie: Search for movies by title.\n   - Parameters: query, language (default: \"en-US\")\n"
            "2. get_movie_details: Retrieve detailed information about a movie.\n   - Parameters: movie_id, language (default: \"en-US\")\n"
            "3. discover_movies: Discover movies by different criteria.\n   - Parameters: with_genres, primary_release_year, sort_by (default: \"popularity.desc\"), language (default: \"en-US\")\n"
            "4. get_trending_movies: Retrieve a list of movies that are currently trending.\n   - Parameters: time_window (default: \"week\"), language (default: \"en-US\")\n"
            "5. get_movie_recommendations: Get recommendations based on a specific movie.\n   - Parameters: movie_id, language (default: \"en-US\")\n"
            "6. get_movie_credits: Retrieve cast and crew information for a movie.\n   - Parameters: movie_id, language (default: \"en-US\")\n"
            "7. get_person_details: Retrieve detailed information about a person.\n   - Parameters: person_id, language (default: \"en-US\"), append_to_response\n"
            "8. get_genre_list: Retrieve the list of official genres.\n   - Parameters: language (default: \"en-US\")\n"
            "9. get_upcoming_movies: Retrieve movies that are soon to be released.\n   - Parameters: language (default: \"en-US\"), region\n"
            "10. get_now_playing_movies: Retrieve movies currently playing in theaters.\n    - Parameters: language (default: \"en-US\"), region\n"
            "11. get_similar_movies: Retrieve movies similar to a specified movie.\n    - Parameters: movie_id, language (default: \"en-US\")\n"
            "12. multi_search: Search for movies, TV shows, and people with a single query.\n    - Parameters: query, language (default: \"en-US\")\n\n"
            "When a user asks a question, determine if any of these functions can help provide the most accurate and up-to-date information. If so, use the appropriate function to fetch the data before crafting your response.\n\n"
            "Guidelines:\n"
            "- Always provide accurate and helpful information.\n"
            "- Use the latest data from the functions whenever possible.\n"
            "- Maintain a conversational and friendly tone.\n"
            "- Respect user preferences and provide personalized recommendations.\n"
            "- Adhere to OpenAI's policies and avoid disallowed content.\n\n"
            "Example:\n"
            "- User: \"Can you recommend a good sci-fi movie from last year?\"\n"
            "- Assistant:\n"
            "  1. Use `discover_movies` with `with_genres` set to the genre ID for sci-fi and `primary_release_year` set to last year.\n"
            "  2. Fetch the list of movies.\n"
            "  3. Recommend a movie from the list with a brief description.\n"
        ),
        "top_p": 0.5
    })

    # Add the AI application to the main section
    swml.add_aiapplication("main")

    # Output as JSON or YAML
    print(swml.render_json(ordered=True))
    # print(swml.render_yaml(ordered=True))  # Uncomment for YAML output

if __name__ == "__main__":
    build_movie_ai_agent()

---

For more details on the available methods, see the docstrings in the `SignalWireSWML` class or the [API documentation](#). 

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

signalwire_swml-2.7.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

signalwire_swml-2.7-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file signalwire_swml-2.7.tar.gz.

File metadata

  • Download URL: signalwire_swml-2.7.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for signalwire_swml-2.7.tar.gz
Algorithm Hash digest
SHA256 521c307987b00fbf08dfc3b7e9fd1fbf3f570d51f3cd907b82632f1e08c2f891
MD5 1455d00ef1719269ca6e02ea9ad020d4
BLAKE2b-256 d6af137515e0e900578a16fb020a98b94b9c2abd6be6eaa279c914a50718881e

See more details on using hashes here.

File details

Details for the file signalwire_swml-2.7-py3-none-any.whl.

File metadata

  • Download URL: signalwire_swml-2.7-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for signalwire_swml-2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 586fc3c3553f3584154bd5674c337cddffd8caeb074c423add23c74693e56e65
MD5 1a5f9ea77d601b783c56a904a4297d1f
BLAKE2b-256 48374842bbe1a0a26c0163b6c42cd18ba831efdbf22a246448d352bcd4f6ad2c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page