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  • space_name
  • project_id
  • token
  • document_id
  • tool_name
  • count
  • distance
  • tags
  • language
  • pos_to_expand
  • max_synonyms
  • no_results_message
AgentsSkills

datasphere

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Built with

Search documents uploaded to SignalWire DataSphere. This skill executes the search via a webhook call from the agent process.

Tools: search_knowledge

Requirements: SignalWire DataSphere credentials

Multi-instance: Yes

space_name
strRequired

SignalWire space name (e.g., "mycompany" from mycompany.signalwire.com).

project_id
strRequired

SignalWire project ID.

token
strRequired

SignalWire API token.

document_id
strRequired

DataSphere document ID to search.

tool_name
strDefaults to search_knowledge

Custom tool name for this instance. Required when using multiple instances.

count
intDefaults to 1

Number of results to return.

distance
floatDefaults to 3.0

Maximum distance threshold for results.

tags
list[str]

Tags to filter search results.

language
str

Language code for query expansion (e.g., "en", "es").

pos_to_expand
list[str]

Parts of speech to expand with synonyms: "NOUN", "VERB", "ADJ", "ADV".

max_synonyms
int

Maximum number of synonyms for query expansion (1–10).

no_results_message
str

Message returned when no results are found. Supports {query} placeholder.

1from signalwire import AgentBase
2
3class MyAgent(AgentBase):
4    def __init__(self):
5        super().__init__(name="assistant", route="/assistant")
6        self.set_prompt_text("You are a helpful assistant.")
7        self.add_skill("datasphere", {
8            "space_name": "your-space",
9            "project_id": "YOUR_PROJECT_ID",
10            "token": "YOUR_API_TOKEN",
11            "document_id": "YOUR_DOCUMENT_ID"
12        })
13
14agent = MyAgent()
15agent.serve()