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Anthropic Claude LLM for Bolna AI voice agents

Anthropic Claude writes your Bolna voice agent's replies. Use claude-sonnet-5 for most agents, or claude-haiku-4-5 for faster, high-volume calls.

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At a glance

How Anthropic fits in the stack

Best for

Reasoning, policy handling, tool use, and response generation.

Use this layer when

You want to tune quality, cost, latency, or function-calling behavior.

Connects to

Transcribed caller input upstream and voice or actions downstream.

Voice Stack

The LLM is the reasoning layer

The LLM is the reasoning layer

This provider decides how the agent interprets intent, selects next actions, calls tools, and formulates responses. It is the decision engine inside the voice stack.

TelephonyPhone Network
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STTListener
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LLMReasoning
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TTSVoice
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ToolsActions

Last updated

What is Anthropic used for in a Bolna voice agent?

Anthropic's Claude models are the LLM in a Bolna voice agent: they read what the caller said and decide what the agent says next, with precise instruction following and strong reasoning. Pick Claude when your agent runs long or strict scripts, or works in a sensitive domain where careful reasoning matters more than the lowest cost.

How do I set up Anthropic with Bolna?

  1. Open your agent in Agent Studio at platform.bolna.ai and go to the Intelligence tab.
  2. Under Choose LLM model, set the provider to Anthropic and pick a model. claude-sonnet-5 is the recommended starting point.
  3. In Model Parameters, keep the token limit around 150 so spoken replies stay short, and use a low temperature (around 0.2) for scripted calls.
  4. To use your own key, connect your Anthropic account at platform.bolna.ai/auth/anthropic.

For model details and the API config, see the Anthropic setup guide in the Bolna docs.

Which Claude models does Bolna support?

ModelContextBest for on Bolna
claude-sonnet-51M tokensMost production voice agents. Recommended: best speed and quality balance
claude-haiku-4-5-20251001200K tokensHigh-volume, cost-sensitive agents. Fastest time to first token, lowest cost
claude-opus-4-81M tokensComplex multi-step reasoning and sensitive domains. Slower than Sonnet
claude-fable-51M tokensThe most complex, long-horizon reasoning. Highest capability and cost

Claude models sit outside Bolna's flat-rate bundle. See pricing for how usage-based LLM billing works.

What can you build with Anthropic and Bolna?

Technical support lines. Claude follows detailed troubleshooting steps closely, which helps on support calls that walk a caller through a fixed process.

Sales and discovery calls. Use claude-sonnet-5 for conversations that need to understand a caller's needs and stay inside a defined scope.

Sensitive or complex conversations. The Bolna docs suggest claude-sonnet-5 with Deepgram Nova-3 and ElevenLabs for complex reasoning or sensitive domains. See the Deepgram and ElevenLabs pages.

Agents that take action. Add function tools in the Tools tab so the agent can look up records or book slots during the call.

FAQ

Anthropic on Bolna: frequently asked questions

Start with claude-sonnet-5, which the Bolna docs recommend for most production voice agents. Move to claude-haiku-4-5-20251001 when latency or cost matters most, and to claude-opus-4-8 or claude-fable-5 only for the most complex reasoning.

Yes. Connect your Anthropic account at platform.bolna.ai/auth/anthropic. The LLM cost of your calls is then charged to your Anthropic account.

Claude models are not on Bolna's preferred model list, so the LLM part of a call is billed at usage-based rates instead of the flat per-minute rate. If you bring your own Anthropic key, Anthropic bills you for the LLM directly.

Yes. All current Claude models support function calling. You define the functions in the agent's Tools tab and the model calls them during the conversation.

Related

Other providers in this layer

LLM

Azure OpenAI

Azure OpenAI runs GPT models for your Bolna voice agent inside your own Azure account, for teams that need regional data residency and private networking.

LLM

DeepSeek

DeepSeek V4 runs the conversation in a Bolna voice agent at low cost per token. deepseek-v4-flash suits high-volume calls, with a 1M token context window.

LLM

Google Gemini

Google Gemini runs the conversation in a Bolna voice agent with a 1M token context and strong multilingual skills. gemini-2.5-flash is the recommended default.

Browse this layer

Keep exploring the voice stack

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Large Language Models

The LLM is the brain of your voice agent. It understands what callers say and decides how to respond. Bolna lets you switch between models like GPT-5.4 mini, Claude and DeepSeek by changing the provider and model in your agent LLM settings, so you can tune for speed, cost or reasoning depth.

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Telephony

Telephony providers connect your voice agents to the phone network so they can make and receive real calls. Bolna supports managed integrations with major carriers as well as bring-your-own-carrier via SIP trunking, giving you full control over call routing, number provisioning, and cost.

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Speech-to-Text

Speech-to-text converts what callers say into text that your LLM can process. Transcription accuracy and latency directly affect how natural a conversation feels. Bolna supports streaming STT providers optimized for telephony audio, including specialized models for Indian languages.

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Text-to-Speech

Text-to-speech turns your agent responses into spoken audio. Voice quality shapes how callers perceive your brand. Flat, robotic speech kills trust while natural, expressive voices build it. Bolna integrates with the fastest TTS providers so responses sound human and arrive without awkward pauses.

Browse

Tools & Workflows

Tools let your voice agents take action during a call, not just talk. Book a calendar slot, look up an order through your own API, push a lead into your CRM, or trigger a multi-step automation in Zapier. These integrations turn voice agents from answering machines into workflow engines.

See where Anthropic fits in your production workflow

Use the demo to walk through provider selection, stack tradeoffs, and the exact workflow you want Bolna to automate.

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