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feat: refactor node spec and add mcp tools (#244)

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* refactor: carve out extraction panel

* refactor: create spec versions for node types

* refactor: create a GenericNode and remove custom nodes

* feat: add python and typescript sdk

* add dograh sdk

* fix: fetch draft workflow definition over published one

* fix: fix routes of SDKs to use code gen

* chore: remove doclink dependency to reduce image size

* chore: format files

* chore: bump pipecat

* feat: let mcp fetch archived workflows on demand

* chore: fix tests

* feat: add sdk documentation

* chore: change banner and add badge
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Abhishek 2026-04-21 07:56:16 +05:30 • committed by GitHub
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docs/voice-agent/pre-call-data-fetch.mdx
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---
title: "Pre-Call Data Fetch"
description: "Fetch customer data from your CRM or ERP before the call starts, so your voice agent can greet callers by name and reference their account details."
tag: "NEW"
---
Pre-Call Data Fetch allows you to enrich the call context with external data before the voice agent starts speaking. When enabled on the **Start Call** node, Dograh sends an HTTP request to your API as soon as a call is initiated. While the response is loading, the caller hears a ring-back tone. Once the data arrives, it is merged into the call's [initial context](/core-concepts/context-and-variables#initial_context) and becomes available as template variables in your prompts and greetings.

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docs/voice-agent/pre-recorded-audio.mdx
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---
title: "Pre-recorded Audio"
description: "Build hybrid voice agents that combine pre-recorded audio with dynamic text generation for lower latency, reduced TTS costs, and natural-sounding conversations."
tag: "NEW"
---
Custom recordings allow you to build **hybrid voice agents** that use your own pre-recorded audio for key parts of the conversation, while falling back to LLM-generated speech (via a cloned voice) for dynamic responses. This gives you the best of both worlds — the emotional depth of real human speech and the flexibility of AI-generated dialogue.