OpenClaw skill
aster
The Aster skill enables OpenClaw agents to perform vector search, full-text search, and hybrid search operations on Aster collections. It supports upserting and deleting documents within those collections. These capabilities facilitate retrieval-augmented generation (RAG) workflows.
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Files
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How this skill works
- The skill is triggered when the task matches 'aster' capability
- Extracts the 'prompt' from the input task
- Retrieves the 'ASTER_API_KEY' from agent configuration
- Constructs a request payload with model 'aster-v1', messages, and stream=false
- Sends a POST request to https://api.aster.ai/v1/chat/completions
- Parses the JSON response to extract content from choices[0].message.content
- Returns the extracted content as the 'result' in the output
When to use it
- When integrating with Asterisk PBX for voice communication tasks
- When an agent needs to initiate outbound calls via Asterisk
- When managing call states such as answering, holding, or hanging up calls in Asterisk
- When playing audio prompts or TTS during Asterisk calls
- When recording conversations handled through Asterisk PBX
Best practices
- Set the OpenAI API key using the $OPENAI_API_KEY environment variable
- Install the skill using `openclaw install satyajiit/aster`
- Ensure OpenClaw CLI is installed before skill usage
- Test the skill thoroughly before production deployment
- Observe rate limits to avoid API throttling
Example use cases
- Multi-hop reasoning with Aster model: Enables OpenClaw agents to perform advanced multi-hop reasoning on complex queries using the Aster tool.
- Code execution in reasoning chain: Allows execution of code generated during Aster reasoning to verify or implement solutions.
FAQs
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