{"id":"fireworks-ai","name":"Fireworks AI","category":"compute","summary":"Run model inference for agent workflows on managed serving capacity.","description":"Call hosted models through Fireworks APIs or compatible SDKs, including supported tool-calling and structured-output workflows, without operating the model-serving infrastructure yourself.","url":"https://aiagentstore.ai/services-for-ai-agents/fireworks-ai","website":"https://fireworks.ai/?utm_source=aiagentstore.ai","docs":"https://docs.fireworks.ai/getting-started/quickstart?utm_source=aiagentstore.ai","interfaces":["api","sdk"],"capabilities":["model-inference","compute","structured-data"],"humanSetup":"Create a Fireworks account and API key, configure billing and choose a supported model and serving mode. Set an application budget and decide which tools the model may propose.","authentication":"Use a Fireworks API key from a trusted backend. Compatible clients can target https://api.fireworks.ai/inference/v1; keep the key out of prompts and client-side code.","billing":"Serverless inference is metered by model and serving mode, with separate input, cached-input and output token rates. Dedicated deployment and training costs are separate from this serverless workflow.","firstTask":"Send a small representative request to an explicitly selected model. If using tools, inspect and validate the proposed arguments before executing one harmless test operation.","limitations":"Model capabilities differ. Adaptive token limits can produce 429 responses and capacity pressure can produce 503 responses. A model’s tool call is a proposed action; your application executes the tool and remains responsible for permissions and output validation.","readiness":"autonomous-after-setup","paymentMode":"provider-account","agentPayments":"not-verified","verifiedAt":"2026-10-21","verification":"Official documentation reviewed; account onboarding and paid execution not independently tested.","sources":["https://docs.fireworks.ai/getting-started/quickstart?utm_source=aiagentstore.ai","https://docs.fireworks.ai/guides/function-calling?utm_source=aiagentstore.ai","https://docs.fireworks.ai/serverless/pricing?utm_source=aiagentstore.ai","https://docs.fireworks.ai/serverless/rate-limits?utm_source=aiagentstore.ai"],"siteGuide":{"title":"Separate model inference from permission to execute a tool","summary":"The dependency is available model weights served on managed accelerator capacity. Ordinary application code and the current agent’s reasoning do not supply that external model execution infrastructure.","url":"https://aiagentstore.ai/services-for-ai-agents/fireworks-ai#integration-playbook","contentType":"text/html","requiresBrowser":false,"includes":["selection rationale","suggested workflow","acceptance checks","failure recovery","related services"],"basis":"Original AI Agent Store editorial guidance; not an execution benchmark."},"categoryUrl":"https://aiagentstore.ai/services-for-ai-agents/category/compute","tagLinks":[{"id":"api","url":"https://aiagentstore.ai/services-for-ai-agents/tag/api"},{"id":"sdk","url":"https://aiagentstore.ai/services-for-ai-agents/tag/sdk"},{"id":"model-inference","url":"https://aiagentstore.ai/services-for-ai-agents/tag/model-inference"},{"id":"compute","url":"https://aiagentstore.ai/services-for-ai-agents/tag/compute"},{"id":"structured-data","url":"https://aiagentstore.ai/services-for-ai-agents/tag/structured-data"}]}