AssemblyAI
Create Todoist tasks from AssemblyAI transcript answers
This query returns a natural-language answer to a question about a completed transcript, using AssemblyAI's LLM Gateway. LLM usage consumes credits from your AssemblyAI account.
Developer info
- API endpoint slug
- assemblyai.ask_transcript_question
- Runtime method
- performQuery("assemblyai.ask_transcript_question"}
Query fields
Transcript Text input
- Label
- Transcript ID
- Helper text
- The ID of the transcript to ask about. Use TranscriptId from the "New completed transcript" trigger.
- Slug
- transcript_id
- Required
- true
- Can have default value
- true
Question Text input
- Label
- Question
- Helper text
- A natural-language question about the transcript, e.g. "What were the main objections raised on the call?"
- Slug
- question
- Required
- true
- Can have default value
- true
Ingredients
Answer text The answer to your question.
- Slug
- answer_text
- Filter code
- Assemblyai.askTranscriptQuestion.AnswerText
- Type
- String
- Example
- The main objection was the proposed timeline being too aggressive for the engineering team.
Model The LLM used.
- Slug
- model
- Filter code
- Assemblyai.askTranscriptQuestion.Model
- Type
- String
- Example
- claude-sonnet-4-6
Input token count Number of input tokens consumed.
- Slug
- input_token_count
- Filter code
- Assemblyai.askTranscriptQuestion.InputTokenCount
- Type
- String
- Example
- 1920
Output token count Number of output tokens generated.
- Slug
- output_token_count
- Filter code
- Assemblyai.askTranscriptQuestion.OutputTokenCount
- Type
- String
- Example
- 64
