Swytchcode is a CLI execution layer that sits between your AI agent and production APIs like Sarvam ai — handling authentication, retries, idempotency, and policy control so your agent can call real APIs safely instead of failing silently.

How do I get started with Swytchcode?

Run "npx swytchcode" to install the CLI — no account required. Then run "swytchcode get sarvam" to pull the Sarvam ai manifest and you're ready to call it from your agent.

How does an AI agent actually call the Sarvam ai API through Swytchcode?

Your agent runs "swytchcode exec sarvam. " with arguments. Swytchcode validates the call against the Sarvam ai manifest schema, attaches your stored credentials, executes the request, and returns structured JSON your agent can act on — no auth or HTTP handling lives in your agent's code.

What happens if a Sarvam ai call fails, times out, or hits a rate limit?

Swytchcode assigns every Sarvam ai call an idempotency key and retries it automatically on transient failures or rate limits. If your agent re-runs the same action, Swytchcode recognizes the retry and prevents duplicate writes — a raw HTTP call wouldn't give you that safety net.

Can I restrict which Sarvam ai actions my agent is allowed to run?

Yes. Policy rules in "tooling.json" let you allowlist or blocklist specific Sarvam ai actions — for example, allow read-only calls but block anything destructive, or require approval above a threshold. Swytchcode enforces this before the call reaches Sarvam ai, not after.

Where does Swytchcode store my Sarvam ai credentials?

You authenticate once, and Swytchcode stores and refreshes your Sarvam ai credentials server-side. Your agent — and the LLM behind it — only ever sees action names and results, never raw API keys or tokens.

Do I need to write a custom Sarvam ai SDK integration for my agent?

No. "swytchcode get sarvam" pulls a pre-built, versioned manifest describing every available Sarvam ai action and its parameters, so your agent calls actions by name instead of you writing and maintaining request/response glue code.

How is calling Sarvam ai through Swytchcode different from calling its API directly?

A direct call means you handle token refresh, retries, error parsing, and schema drift yourself, with no guardrails on what the agent can execute. Swytchcode does all of that and checks each call against your policy rules first, so an agent can't do something with Sarvam ai you didn't explicitly approve.

Which AI agent frameworks can call Sarvam ai through Swytchcode?

Any of them. Swytchcode is framework-agnostic — Claude Code, Cursor, GitHub Copilot, LangChain, CrewAI, or a custom agent that can shell out to a CLI or invoke a tool. Only the Sarvam ai call is routed through Swytchcode; your agent logic doesn't change.

Does Swytchcode log what my agent does with Sarvam ai?

Yes. Every Sarvam ai call — action, arguments, result, and timestamp — is written to a full audit trail, so you can debug unexpected agent behavior or review exactly what ran in production.

Get started

Data & Analytics

API Integration

Sarvam ai API for AI Agents

Connect the Sarvam ai API to your AI agent through Swytchcode. Call it from Claude, Cursor, LangChain, or any custom agent — Swytchcode handles authentication, retries, and rate limits.

Connect Sarvam ai to your agent Visit official site View documentation

Provider: Sarvam ai
Category: Data & Analytics
License: Proprietary
Manifest: sarvam
Official site: sarvam.ai
API docs: View docs

Use cases

What can you build with the Sarvam ai API?

Call Sarvam ai directly from an AI agent without writing custom auth, retry, or error-handling code.

Pull live data & analytics data from Sarvam ai mid-conversation and act on it in the same agent run.

Chain Sarvam ai with other approved integrations in a single execution, validated against your policy rules.

Give an agent safe read/write access to Sarvam ai in production, with idempotent retries if a call fails.

Setup guide

How to connect the Sarvam ai API to an AI agent

Four steps, no SDK, no boilerplate. Every Sarvam ai call routed through Swytchcode is idempotency-keyed and safe to retry.

1
Install the CLI
Run "npx swytchcode" to install the Swytchcode CLI — no account required to start.
2
Pull the manifest
Run "swytchcode get sarvam" to pull the Sarvam ai API manifest, including its schema and available actions.
3
Authenticate once
Provide your Sarvam ai API credentials a single time. Swytchcode stores and refreshes them so your agent never handles raw secrets.
4
Call it from your agent
Run "swytchcode exec sarvam.<action> --key value" from any agent — Claude, Cursor, LangChain, CrewAI, or your own code.

swytchcode get sarvam
swytchcode exec sarvam.<action> --key value

FAQ

Frequently asked questions

Tinyfish

Tinyfish integration available through Swytchcode.

Data & Analytics

Apify

Apify integration available through Swytchcode.

Data & Analytics

Firecrawl

Firecrawl integration available through Swytchcode.

Data & Analytics

Wachete

Wachete integration available through Swytchcode.

Data & Analytics

Ready to connect Sarvam ai?

Install the CLI and pull your first manifest in under a minute. No account required.

Get started free

Sarvam ai API for AI Agents

What can you build with the Sarvam ai API?

How to connect the Sarvam ai API to an AI agent

Frequently asked questions

What is Swytchcode?

How do I get started with Swytchcode?

How does an AI agent actually call the Sarvam ai API through Swytchcode?

What happens if a Sarvam ai call fails, times out, or hits a rate limit?

Can I restrict which Sarvam ai actions my agent is allowed to run?

Where does Swytchcode store my Sarvam ai credentials?

Do I need to write a custom Sarvam ai SDK integration for my agent?

How is calling Sarvam ai through Swytchcode different from calling its API directly?

Which AI agent frameworks can call Sarvam ai through Swytchcode?

Does Swytchcode log what my agent does with Sarvam ai?

Other Data & Analytics integrations

Ready to connect Sarvam ai?