✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

AI Chatbot with Fireworks AI: fast open-model inference

SleekAI treats Fireworks AI like any other OpenAI-compatible provider. Paste the Fireworks base URL, drop in the API key you minted in your Fireworks dashboard, pick a deployed model like accounts/fireworks/models/llama-v3p1-70b-instruct, and the bot is live. WordPress wiring, prompts, and logs are unchanged.

♾️ Lifetime License available

SleekAI chatbot for Fireworks AI

Fireworks for speed, SleekAI for the WordPress wiring

Fireworks AI is one of the fastest OpenAI-compatible inference platforms for open weights. Llama 3.1 70B, Mixtral 8x22B, DeepSeek V3, Qwen 2.5, and a long tail of fine-tuned community checkpoints all sit behind a single API that responds in tens of milliseconds for the first token. The catch is that most WordPress AI plugins still pretend OpenAI and Anthropic are the only two providers in the world.

SleekAI does not. The provider configuration accepts any OpenAI-compatible base URL, so https://api.fireworks.ai/inference/v1 is a first-class citizen. Save the Fireworks key, set the model to something like accounts/fireworks/models/llama-v3p1-70b-instruct or accounts/fireworks/models/mixtral-8x22b-instruct, and the chat widget, mapped variables, display conditions, and logs work exactly the same as on a GPT-4o bot.

Each reply hits Fireworks directly from your WordPress server. No Sleek-hosted relay sits in between, so your billing dashboard at Fireworks shows the exact token counts you see in wp_sleek_ai_chats. Multibot lets you run a Llama 70B bot on docs and a smaller 8B variant on the marketing site, both billed against the same Fireworks account.

Workflow

Wire SleekAI to Fireworks AI in four steps

1

Mint a Fireworks key

Log into the Fireworks dashboard, create an API key for the project that owns your billing budget, and copy it. Pick the models you want to expose, like llama-v3p1-70b-instruct or mixtral-8x22b-instruct, and note their full model IDs.
2

Add the provider in SleekAI

Open SleekAI provider settings, choose OpenAI-compatible, set the base URL to https://api.fireworks.ai/inference/v1, paste the Fireworks key, and save. The provider is now selectable on every chatbot in the install.
3

Create the chatbot

Pick the Fireworks provider, set the model name to a full Fireworks ID like accounts/fireworks/models/llama-v3p1-70b-instruct, write your system prompt, and choose display conditions. Multibot lets each bot pick its own Fireworks model.
4

Watch the logs reconcile

Every reply writes prompt and completion tokens into wp_sleek_ai_chats. Sum them by month with a single SQL query and the total should match the usage shown in the Fireworks dashboard for that period.

Try it now

Ask the Fireworks demo bot

This bot pretends it is configured against a Fireworks endpoint. Ask how SleekAI handles base URLs, model IDs, throughput, and per-bot model overrides.

Comparison

Generic chatbot vs SleekAI for Fireworks AI

Generic chatbot

  • Hard-codes OpenAI or Anthropic, no Fireworks option in provider list
  • Routes prompts through a vendor relay you cannot point at Fireworks
  • No way to set a custom base URL or model ID for open weights
  • Per-tenant key management requires a separate paid plan
  • Token usage is hidden behind the plugin vendor instead of Fireworks

SleekAI chatbot

  • OpenAI-compatible base URL accepts https://api.fireworks.ai/inference/v1
  • Any Fireworks model ID works, including community fine-tunes
  • Logs in wp_sleek_ai_chats reconcile with the Fireworks dashboard
  • Per-bot model selection so 70B docs and 8B marketing share one key
  • Bring your own Fireworks API key, no Sleek-hosted proxy in the path

Features

What SleekAI gives you for Fireworks AI

Native Fireworks provider

Pick OpenAI-compatible in the provider dropdown, set the base URL to https://api.fireworks.ai/inference/v1, and SleekAI talks to Fireworks directly. No middleware, no relay, no proxy account to provision.

Per-bot model overrides

Run a Llama 3.1 70B Instruct bot on the docs site and a Mixtral 8x22B bot on marketing with one Fireworks key. Multibot stores the model name per chatbot so each surface can pick its own checkpoint.

Reconcilable token logs

Every Fireworks call writes prompt and completion tokens into wp_sleek_ai_chats. Sum them by month and the number matches the Fireworks dashboard, which makes billing and capacity planning a single query.

Use cases

Where teams put Fireworks behind a SleekAI bot

Low-latency docs chat

Documentation sites need sub-second first-token latency. Fireworks delivers that on Llama 3.1 70B at a fraction of GPT-4o token cost, and SleekAI wires it into the WordPress docs without bespoke code.

Cost-sensitive marketing bots

Marketing chat traffic is bursty and unpredictable. Pointing SleekAI at Mixtral 8x22B on Fireworks keeps per-conversation cost low while still giving visitors decent answers on product questions.

Open-weights experimentation

Fireworks hosts DeepSeek, Qwen, and a long tail of community models. SleekAI lets product teams A/B test those checkpoints against GPT-4o on real WordPress traffic without rebuilding the chat widget.

The bigger picture

Why Fireworks belongs in the WordPress chat stack

Open-weights inference used to mean self-hosting a GPU cluster or accepting brittle community endpoints. Fireworks AI changed that by serving Llama, Mixtral, DeepSeek, and a dozen other open models behind a single OpenAI-compatible API with throughput most teams cannot match in their own infrastructure. The result is that the price-performance frontier for chat moved away from closed models for a lot of real workloads, while the WordPress ecosystem stayed stuck routing every visitor question through GPT-4o because that is what most plugins ship with.

SleekAI removes that gap by treating Fireworks as an ordinary provider. Docs teams can run a 70B Llama bot for the price of a small GPT-4o bot. Marketing teams can pick Mixtral when the load spikes during a launch.

Platform teams can A/B test DeepSeek against Claude on real traffic without rebuilding the chat widget. Token logs in wp_sleek_ai_chats reconcile with the Fireworks dashboard, billing stays on one card, and switching providers is a dropdown rather than a migration. For a lot of WordPress sites that is the difference between a chatbot that ships and one that stays a proof of concept.

Questions

Common questions about SleekAI for Fireworks AI

Yes, through the OpenAI-compatible provider type. Set the base URL to https://api.fireworks.ai/inference/v1, paste your Fireworks key, and any model in your Fireworks account becomes available. There is no separate Fireworks-only setup or paid tier required.

 

Llama 3.1 70B Instruct is the default for quality-sensitive bots. Mixtral 8x22B Instruct is the go-to for cost-sensitive marketing bots. DeepSeek V3 and Qwen 2.5 72B come up for math, code, and multilingual workloads where open-weights have caught up to closed models.

 

No. SleekAI sends the request straight from WordPress to Fireworks with a standard Authorization Bearer header. Many teams still drop LiteLLM or Portkey in front for retries and routing, but a plain Fireworks key works on day one.

 

Each chatbot stores its own provider, model name, system prompt, and display conditions. A docs bot can use Llama 3.1 70B while a pricing-page bot uses Mixtral 8x22B, both billed against the same Fireworks account from one WordPress install.

 

In the wp_sleek_ai_chats table on your own WordPress database. Each row stores the model ID, provider URL, token counts, and originating page. Sleek does not run an ingestion pipeline, so no chat data ever touches Sleek servers.

 

Yes, when paired with a custom retrieval table. Map a postmeta or custom table column for vector storage and point SleekAI at a Fireworks embeddings model. For OpenAI-style hosted file search you still need OpenAI itself, since that is vendor-specific.

 

The upstream error surfaces in the chat log and the visitor sees a graceful fallback message. You can configure a secondary provider per bot so a Fireworks outage transparently fails over to OpenAI, Anthropic, or a self-hosted endpoint until Fireworks is back.

 

No. Provider configuration is independent of prompts, mapped variables, postmeta wiring, and display conditions. Swap providers in the dropdown and the same bot keeps the same behavior, just routing inference through a different upstream.

 

Pricing

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