AI Assistant API
Summary
This documentation will guide you on how to integrate the Coalesce Catalog AI Assistant into your agent
by calling it through our public API.
You can use it with:
an MCP server
as part of your agent's
tools
📚
Prerequisites
You’ll need a Coalesce Catalog API Token. If you don’t have one, reach out to the Catalog ops team to request a new token
Introduction
Coalesce Catalog public API is a GraphQL API
To interact with the AI Assistant, you'll need to implement a polling system using the two
queries
belowaddAiAssistantJob: Creates an asynchronous AI Assistant job and returns a
jobId
.getAiAssistantJobResult: Uses the
jobId
to poll for the job's result.
Details
addAiAssistantJob
Input
Headers
{"Authorization": "Token <API_TOKEN>"}
Body
query { addAiAssistantJob ( data: { question: "<user_question>" email: "<user_email>" externalConversationId: "<unique_conversation_id>" } ){ data { jobId } } }
Output
{ "data": { "addAiAssistantJob": { "data": { "jobId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" } } } }
getAiAssistantJobResult
Input
Headers
{"Authorization": "Token <API_TOKEN>"}
Body
query { getAiAssistantJobResult ( data: { id: "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" delaySeconds: 5 } ){ data { status answer assets { id internalLink name url } } } }
Output
{ "data": { "getAiAssistantJobResult": { "data": { "status": "completed", "answer": "<AI_Assistant_anwer>", "assets": [ { "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx", "internalLink": "https://castordoc.com", "name": "", "url": "https://example.com" } ] } } } }
First, call addAiAssistantJob
to receive the jobId
. Then, use that jobId
to poll for the result with getAiAssistantJobResult
, which includes a built-in polling delay controlled by the delaySeconds
parameter.
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