Artificial Intelligence (AI) · 0 triggers · 3 actions
Serverless LLM Hosting Add Featherless to your Stream Deck workflows with guided setup for the connection details it needs.
Add Featherless to a workflow and pair it with a Stream Deck button to run it in one press — handy for artificial intelligence (ai) tasks. Combine it with OBS, your Elgato tools, or any other app you connect to build a routine that fits how you work.
Browse all templatesSteps your workflow can perform in Featherless.
List the models available on Featherless (GET /v1/models). Returns model objects each containing an id field to pass as the model prop in Create Chat Completion and Create Text Completion. The catalog is very large (~22k models), so results are paged (100 per page by default) and each model is trimmed to key fields (id, name, model_class, context_length, max_completion_tokens, available_on_current_plan); use q to search, page to page through, or fields to change which fields are returned. Example: q=Qwen returns Qwen-family models with ids like Qwen/Qwen3-8B (pass that id as the model prop in a completion). Results are paged (100 per page); increment page to fetch more. Because a page size is always sent, the response also includes pagination (current_page, total_pages, total_items) and a total count. View docs.
Generate a text completion from a raw prompt using a Featherless-hosted model (POST /v1/completions). Returns a completion object whose choices[0].text holds the generated text, plus a usage token breakdown. This is a distinct legacy-style completion endpoint from Create Chat Completion. Use List Models first to discover valid model IDs. Example: model=Qwen/Qwen3-0.6B, prompt="The capital of France is" returns Paris in choices[0].text. View docs.
Generate a chat completion using a Featherless-hosted model (POST /v1/chat/completions). Returns a completion object whose choices[0].message.content holds the model's reply, plus a usage token breakdown. Use List Models first to discover valid model IDs to pass to the model prop. Example: model=Qwen/Qwen3-0.6B, messages=[{"role":"user","content":"What is 2 + 2?"}] returns a reply of 4 in choices[0].message.content. View docs.
Serverless LLM Hosting
Create your Conductor Deck account: no credit card required.
Follow the setup prompts for Featherless. Conductor Deck handles the app authorization or required connection details inside the workflow builder.
Add a Featherless action to your visual workflow canvas. Configure the options you need, then connect it to other steps.
Sync your workflow to any Stream Deck button. Press once to trigger the entire sequence.
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