Port remaining URL and content updates from Node starter PR

Updates docs URLs to match new site structure:
- /agents/build/ -> /agents/logic/ and /agents/start/
- /home/cloud/ -> /transport/media/
- /home/self-hosting/ -> /transport/self-hosting/local/
- /agents/ops/deployment/ -> /deploy/agents/
- Metrics/logging -> Agent Observability
- Voice pipeline description updated

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: bcherry

AGENTS.md

@@ -42,7 +42,7 @@ Voice AI agents are highly sensitive to excessive latency. For this reason, it's
 
 ## Testing
 
-When possible, add tests for agent behavior. Read the [documentation](https://docs.livekit.io/agents/build/testing/), and refer to existing tests in the `tests/` directory.  Run tests with `uv run pytest`.
+When possible, add tests for agent behavior. Read the [documentation](https://docs.livekit.io/agents/start/testing/), and refer to existing tests in the `tests/` directory.  Run tests with `uv run pytest`.
 
 Important: When modifying core agent behavior such as instructions, tool descriptions, and tasks/workflows/handoffs, never just guess what will work. Always use test-driven development (TDD) and begin by writing tests for the desired behavior. For instance, if you're planning to add a new tool, write one or more tests for the tool's behavior, then iterate on the tool until the tests pass correctly. This will ensure you are able to produce a working, reliable agent for the user.
 

README.md

@@ -9,15 +9,15 @@ A complete starter project for building voice AI apps with [LiveKit Agents for P
 The starter project includes:
 
 - A simple voice AI assistant, ready for extension and customization
-- A voice AI pipeline with [models](https://docs.livekit.io/agents/models) from OpenAI, Cartesia, and Deepgram served through LiveKit Cloud
-  - Easily integrate your preferred [LLM](https://docs.livekit.io/agents/models/llm/), [STT](https://docs.livekit.io/agents/models/stt/), and [TTS](https://docs.livekit.io/agents/models/tts/) instead, or swap to a realtime model like the [OpenAI Realtime API](https://docs.livekit.io/agents/models/realtime/openai)
-- Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/build/testing/)
-- [LiveKit Turn Detector](https://docs.livekit.io/agents/build/turns/turn-detector/) for contextually-aware speaker detection, with multilingual support
-- [Background voice cancellation](https://docs.livekit.io/home/cloud/noise-cancellation/)
-- Integrated [metrics and logging](https://docs.livekit.io/agents/build/metrics/)
-- A Dockerfile ready for [production deployment](https://docs.livekit.io/agents/ops/deployment/)
+- A voice AI pipeline built on [LiveKit Inference](https://docs.livekit.io/agents/models/inference)
+  with [models](https://docs.livekit.io/agents/models) from OpenAI, Cartesia, and Deepgram. More than 50 other model providers are supported, including [Realtime models](https://docs.livekit.io/agents/models/realtime)
+- Eval suite based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/start/testing/)
+- [LiveKit Turn Detector](https://docs.livekit.io/agents/logic/turns/turn-detector/) for contextually-aware speaker detection, with multilingual support
+- [Background voice cancellation](https://docs.livekit.io/transport/media/noise-cancellation/)
+- Deep session insights from LiveKit [Agent Observability](https://docs.livekit.io/deploy/observability/)
+- A Dockerfile ready for [production deployment to LiveKit Cloud](https://docs.livekit.io/deploy/agents/)
 
-This starter app is compatible with any [custom web/mobile frontend](https://docs.livekit.io/frontends/) or [SIP-based telephony](https://docs.livekit.io/telephony/).
+This starter app is compatible with any [custom web/mobile frontend](https://docs.livekit.io/frontends/) or [telephony](https://docs.livekit.io/telephony/).
 
 ## Using coding agents
 
@@ -81,7 +81,7 @@ Sign up for [LiveKit Cloud](https://cloud.livekit.io/) then set up the environme
 - `LIVEKIT_API_KEY`
 - `LIVEKIT_API_SECRET`
 
-You can load the LiveKit environment automatically using the [LiveKit CLI](https://docs.livekit.io/intro/basics/cli/start/):
+You can load the LiveKit environment automatically using the [LiveKit CLI](https://docs.livekit.io/intro/basics/cli/):
 
 ```bash
 lk cloud auth
@@ -92,7 +92,7 @@ lk app env -w -d .env.local
 
 ## Run the agent
 
-Before your first run, you must download certain models such as [Silero VAD](https://docs.livekit.io/agents/build/turns/vad/) and the [LiveKit turn detector](https://docs.livekit.io/agents/build/turns/turn-detector/):
+Before your first run, you must download certain models such as [Silero VAD](https://docs.livekit.io/agents/logic/turns/vad/) and the [LiveKit turn detector](https://docs.livekit.io/agents/logic/turns/turn-detector/):
 
 ```console
 uv run python src/agent.py download-files
@@ -134,7 +134,7 @@ For advanced customization, see the [complete frontend guide](https://docs.livek
 
 ## Tests and evals
 
-This project includes a complete suite of evals, based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/build/testing/). To run them, use `pytest`.
+This project includes a complete suite of evals, based on the LiveKit Agents [testing & evaluation framework](https://docs.livekit.io/agents/start/testing/). To run them, use `pytest`.
 
 ```console
 uv run pytest
@@ -152,11 +152,11 @@ Once you've started your own project based on this repo, you should:
 
 ## Deploying to production
 
-This project is production-ready and includes a working `Dockerfile`. To deploy it to LiveKit Cloud or another environment, see the [deploying to production](https://docs.livekit.io/agents/ops/deployment/) guide.
+This project is production-ready and includes a working `Dockerfile`. To deploy it to LiveKit Cloud or another environment, see the [deploying to production](https://docs.livekit.io/deploy/agents/) guide.
 
 ## Self-hosted LiveKit
 
-You can also self-host LiveKit instead of using LiveKit Cloud. See the [self-hosting](https://docs.livekit.io/home/self-hosting/) guide for more information. If you choose to self-host, you'll need to also use [model plugins](https://docs.livekit.io/agents/models/#plugins) instead of LiveKit Inference and will need to remove the [LiveKit Cloud noise cancellation](https://docs.livekit.io/home/cloud/noise-cancellation/) plugin.
+You can also self-host LiveKit instead of using LiveKit Cloud. See the [self-hosting](https://docs.livekit.io/transport/self-hosting/local/) guide for more information. If you choose to self-host, you'll need to also use [model plugins](https://docs.livekit.io/agents/models/#plugins) instead of LiveKit Inference and will need to remove the [LiveKit Cloud noise cancellation](https://docs.livekit.io/transport/media/noise-cancellation/) plugin.
 
 ## License