Problem Statement
AWS Bedrock's Converse API natively supports audio inputs via the AudioBlock structure. Exposing this capability through our standard Agent interface will allow agents to perform direct transcription, summarization, and contextual analysis of voice data in a single step, bypassing the need for intermediate STT services.
Proposed Solution
Proposed Solution
Update Core Schema: Extend the standard Agent's input schema to accept audio payloads (e.g., base64 encoded strings, buffers, or file paths along with their MIME type).
Bedrock Provider Implementation: Map the new agent audio input type directly to the AudioBlock format required by the Bedrock Converse API.
Validation: Implement standard validation for supported audio formats (e.g., mp3, wav, flac) and size limits as defined by the underlying model providers.
Use Case
Primary Use Case: Direct Transcription & Speech-to-Text
Single-Step Audio Processing: Users can pass an audio file (e.g., a voicemail, meeting recording, or user voice note) directly to the agent with a prompt like "Transcribe this recording and extract all action items."
Pipeline Simplification: Eliminates the latency, cost, and architectural complexity of maintaining a separate transcription service just to feed text into the LLM.
Context-Aware Transcription: By processing the audio directly, multimodal LLMs can often capture nuances, speaker intent, and domain-specific terminology better than a standalone, context-blind STT model.
Alternatives Solutions
No response
Additional Context
No response
Problem Statement
AWS Bedrock's Converse API natively supports audio inputs via the AudioBlock structure. Exposing this capability through our standard Agent interface will allow agents to perform direct transcription, summarization, and contextual analysis of voice data in a single step, bypassing the need for intermediate STT services.
Proposed Solution
Proposed Solution
Update Core Schema: Extend the standard Agent's input schema to accept audio payloads (e.g., base64 encoded strings, buffers, or file paths along with their MIME type).
Bedrock Provider Implementation: Map the new agent audio input type directly to the AudioBlock format required by the Bedrock Converse API.
Validation: Implement standard validation for supported audio formats (e.g., mp3, wav, flac) and size limits as defined by the underlying model providers.
Use Case
Primary Use Case: Direct Transcription & Speech-to-Text
Single-Step Audio Processing: Users can pass an audio file (e.g., a voicemail, meeting recording, or user voice note) directly to the agent with a prompt like "Transcribe this recording and extract all action items."
Pipeline Simplification: Eliminates the latency, cost, and architectural complexity of maintaining a separate transcription service just to feed text into the LLM.
Context-Aware Transcription: By processing the audio directly, multimodal LLMs can often capture nuances, speaker intent, and domain-specific terminology better than a standalone, context-blind STT model.
Alternatives Solutions
No response
Additional Context
No response