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Conversational Intelligence

Groq
API integration

Ship Conversational Intelligence features without building the integration. Full Groq API access via Proxy and 20+ MCP-ready tools for AI agents — extend models and mappings to fit your product.

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Groq

Use Cases

Why integrate with Groq

Common scenarios for SaaS companies building Groq integrations for their customers.

01

Offer BYOK Groq inference to your enterprise customers

Let your customers connect their own Groq API keys via Truto so latency-sensitive workloads run on their account. You ship the feature without absorbing inference costs or managing per-tenant key storage.

02

Power sub-second voice agents inside your platform

SaaS platforms building voicebots or live call assistants can route transcription, chat completion, and text-to-speech through customer-owned Groq accounts to eliminate the awkward pauses typical of GPU-backed providers.

03

Enable customer-specific fine-tuned models

Customers who have fine-tuned open-weight models on Groq want them used inside your product. Truto lets you list their available models and route prompts to the right one without you managing the training lifecycle.

04

Run high-volume async processing on the customer's ledger

Legal, compliance, and support-analytics platforms can push large JSONL workloads into Groq's Batch API through the customer's connection — moving the compute bill downstream while you orchestrate the workflow.

05

Add real-time multilingual support to conversational products

Use the customer's Groq account to translate spoken audio and immediately feed it into chat completions, enabling live international support or meeting copilots without standing up a separate translation stack.

What You Can Build

Ship these features with Truto + Groq

Concrete product features your team can ship faster by leveraging Truto’s Groq integration instead of building from scratch.

01

Real-time voice agent loop

Chain Groq audio transcription, chat completion, and audio speech endpoints to build voice agents that respond in milliseconds using the customer's connected Groq account.

02

Customer model picker

List every model available on the customer's Groq account — including their fine-tuned variants — and let admins pick which one powers each workflow in your product.

03

Batch document processing pipeline

Upload JSONL files, create Groq batch jobs, poll for status, and download results to summarize or classify thousands of tickets, emails, or documents per customer.

04

Self-serve fine-tuning launcher

Let customers upload training files and trigger Groq fine-tuning jobs directly from your UI, then surface job status and the resulting model ID back into your model picker.

05

Live transcription and translation feed

Stream audio into Groq transcription or translation endpoints to power live call captioning, meeting notes, or multilingual chat threads.

06

Cost-aware inference routing

Route latency-sensitive prompts to the customer's Groq connection while keeping other workloads on your default provider, all behind a single abstraction in your app.

SuperAI

Groq AI agent tools

Comprehensive AI agent toolset with fine-grained control. Integrates with MCP clients like Cursor and Claude, or frameworks like LangChain.

create_a_groq_audio_transcription

Transcribe an audio file into text using groq's audio transcription API. Returns: text (the full transcription), and when response_format is verbose_json also task, language, duration, segments, words, and x_groq metadata. Required: file, model.

create_a_groq_audio_translation

Create an audio translation in groq by uploading an audio file, converting spoken content into English text. Returns: text. Required: file, model.

create_a_groq_transcription

Create an audio transcription in groq by uploading an audio file or supplying a URL to convert speech to text. Returns: text, segments, words. Required: model. Either file or url must also be provided.

create_a_groq_chat_completion

Create a chat completion in Groq using a specified model and message array, with optional assistant-prefill and stop-sequence control. Returns: id, object, model, choices (containing the assistant message, finish_reason, and logprobs), usage (prompt_tokens, completion_tokens, total_tokens, prompt_time, completion_time, total_time), and x_groq. Required: messages, model.

create_a_groq_response

Create a model response using Groq's OpenAI-compatible Responses API. Accepts a model identifier and input (text or message array) along with optional sampling, tool, and reasoning parameters. Returns: id, object, model, output, usage, status, created_at, and metadata describing the completed response.

create_a_groq_audio_speech

Create synthesized audio speech from text using groq's OpenAI-compatible text-to-speech API. Returns binary audio data in the requested format (not a JSON body). Required: model, input, voice.

list_all_groq_models

List all models available on groq. Returns a collection of model objects, each including id, object, created, and owned_by.

get_single_groq_model_by_id

Get a single groq model by id. Returns the model object including id, object, created, and owned_by. Required: id.

list_all_groq_batches

List all batches in groq. Returns a collection of batch objects each including id, object, status, endpoint, input_file_id, completion_window, created_at, request_counts, and associated file identifiers.

create_a_groq_batch

Create a new batch in groq to process a group of requests asynchronously. Returns the created batch object including id, status, endpoint, input_file_id, completion_window, created_at, and request_counts. Required: input_file_id, endpoint, completion_window.

get_single_groq_batch_by_id

Get a single groq batch by id. Returns the full batch object including id, status, endpoint, input_file_id, completion_window, created_at, request_counts, output_file_id, and all lifecycle timestamps. Required: id.

groq_batches_cancel

Cancel an in-progress groq batch by id. Returns the updated batch object reflecting the cancellation, including id, status (cancelling or cancelled), endpoint, input_file_id, completion_window, created_at, and request_counts. Required: id.

list_all_groq_files

List all files uploaded to groq. Returns: id, object, bytes, created_at, filename, purpose for each file in the account.

create_a_groq_file

Upload a file to groq for use with other API endpoints. Returns: id, object, bytes, created_at, filename, purpose. Required: file, purpose.

get_single_groq_file_by_id

Get metadata for a specific groq file by id. Returns: id, object, bytes, created_at, filename, purpose. Required: id.

delete_a_groq_file_by_id

Delete a groq file by id. Returns: id, object, deleted. Required: id.

groq_files_download

Download the raw content of a groq file by id. Returns the file's binary or text payload; the response shape depends on the file's content type. Required: id.

list_all_groq_fine_tunings

List fine-tuning jobs in groq. Returns: id.

create_a_groq_fine_tuning

Create a new fine-tuning job in groq. Returns: id.

get_single_groq_fine_tuning_by_id

Get a single groq fine-tuning job by id. Returns: id. Required: id.

delete_a_groq_fine_tuning_by_id

Delete a groq fine-tuning job by id. Returns an empty 204 response on success. Required: id.

Why Truto

Why use Truto’s MCP server for Groq

Other MCP servers give you a static tool list for one app. Truto gives you a managed, multi-tenant MCP infrastructure across 550+ integrations.

01

Auto-generated, always up to date

Tools are dynamically generated from curated documentation — not hand-coded. As integrations evolve, tools stay current without manual maintenance.

02

Fine-grained access control

Scope each MCP server to read-only, write-only, specific methods, or tagged tool groups. Expose only what your AI agent needs — nothing more.

03

Multi-tenant by design

Each MCP server is scoped to a single connected account with its own credentials. The URL itself is the auth token — no shared secrets, no credential leaking across tenants.

04

Works with every MCP client

Standard JSON-RPC 2.0 protocol. Paste the URL into Claude, ChatGPT, Cursor, or any MCP-compatible agent framework — tools are discovered automatically.

05

Built-in auth, rate limits, and error handling

Tool calls execute through Truto’s proxy layer with automatic OAuth refresh, rate-limit handling, and normalized error responses. No raw API plumbing in your agent.

06

Expiring and auditable servers

Create time-limited MCP servers for contractors or automated workflows. Optional dual-auth requires both the URL and a Truto API token for high-security environments.

How It Works

From zero to integrated

Go live with Groq in under an hour. No boilerplate, no maintenance burden.

01

Link your customer’s Groq account

Use Truto’s frontend SDK to connect your customer’s Groq account. We handle all OAuth and API key flows — you don’t need to create the OAuth app.

02

We handle authentication

Don’t spend time refreshing access tokens or figuring out secure storage. We handle it and inject credentials into every API request.

03

Call our API, we call Groq

Truto’s Proxy API is a 1-to-1 mapping of the Groq API. You call us, we call Groq, and pass the response back in the same cycle.

04

Unified response format

Every response follows a single format across all integrations. We translate Groq’s pagination into unified cursor-based pagination. Data is always in the result attribute.

FAQs

Common questions about Groq on Truto

Authentication, rate limits, data freshness, and everything else you need to know before you integrate.

How do end users authenticate their Groq account?

Groq uses API key authentication. Your users paste their Groq API key into your app, Truto stores and rotates it securely per connected account, and all calls you make through Truto are scoped to that user's key.

Which Groq capabilities can I call through Truto?

Chat completions, responses, audio transcription, audio translation, audio speech (TTS), models listing, files (upload, list, get, delete, download), batches (create, list, get, cancel), and fine-tuning (create, list, get, delete) are all available as tools.

Can I use a customer's fine-tuned models?

Yes. Call list_all_groq_models or get_single_groq_model_by_id on the customer's connection to discover their fine-tuned models, then pass the model ID into chat completion or response calls.

How do I handle Groq's batch workflow?

Upload a JSONL file via create_a_groq_file, kick off the job with create_a_groq_batch, poll with get_single_groq_batch_by_id, and retrieve outputs using groq_files_download. groq_batches_cancel is available if you need to stop a job.

Will rate limits apply to my SaaS or to the end user?

Because requests are made with the end user's Groq API key, Groq's rate limits and billing apply to their account — not yours. This is what makes BYOK patterns viable for high-volume workloads.

Is Groq's API really OpenAI-compatible through Truto?

Groq's API mirrors OpenAI's surface for chat completions and related endpoints, and Truto exposes Groq-specific tools that preserve that shape, so migrating prompts or reusing existing schemas is straightforward.

Groq

Get Groq integrated into your app

Our team understands what it takes to make a Groq integration successful. A short, crisp 30 minute call with folks who understand the problem.