several improvements to docs. TODOS: Tracing and Filters

docs/source/concepts/agents.rst

@@ -48,7 +48,7 @@ Your agent controls:
    * **Rich agentic signals**: Automatic capture of function calls, tool usage, reasoning steps, and model behavior—surfaced through traces and metrics without instrumenting your agent code.
    * **Smart model routing**: Leverage :ref:`model-based, alias-based, or preference-aligned routing <llm_providers>` to dynamically select the best model for each task based on cost, performance, or custom policies.
 
-   By routing LLM calls through the Model Proxy, your agents remain decoupled from specific providers and can benefit from centralized policy enforcement, observability, and intelligent routing—all managed in the outer loop. For a step-by-step guide, see :ref:`implementing_routing` in the LLM Router guide.
+   By routing LLM calls through the Model Proxy, your agents remain decoupled from specific providers and can benefit from centralized policy enforcement, observability, and intelligent routing—all managed in the outer loop. For a step-by-step guide, see :ref:`llm_router` in the LLM Router guide.
 
 Outer Loop (Orchestration)
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^

docs/source/concepts/llm_providers/llm_providers.rst

@@ -2,16 +2,16 @@
 
 Model (LLM) Providers
 =====================
-**LLM Providers** are a top-level primitive in Plano, helping developers centrally define, secure, observe,
-and manage the usage of their LLMs. Plano builds on Envoy's reliable `cluster subsystem <https://www.envoyproxy.io/docs/envoy/v1.31.2/intro/arch_overview/upstream/cluster_manager>`_
-to manage egress traffic to LLMs, which includes intelligent routing, retry and fail-over mechanisms,
-ensuring high availability and fault tolerance. This abstraction also enables developers to seamlessly
-switch between LLM providers or upgrade LLM versions, simplifying the integration and scaling of LLMs
-across applications.
+**Model Providers** are a top-level primitive in Plano, helping developers centrally define, secure, observe,
+and manage the usage of their models. Plano builds on Envoy's reliable `cluster subsystem <https://www.envoyproxy.io/docs/envoy/v1.31.2/intro/arch_overview/upstream/cluster_manager>`_ to manage egress traffic to models, which includes intelligent routing, retry and fail-over mechanisms,
+ensuring high availability and fault tolerance. This abstraction also enables developers to seamlessly switch between model providers or upgrade model versions, simplifying the integration and scaling of models across applications.
 
-Today, we are enabling you to connect to 11+ different AI providers through a unified interface with advanced routing and management capabilities.
+Today, we are enable you to connect to 15+ different AI providers through a unified interface with advanced routing and management capabilities.
 Whether you're using OpenAI, Anthropic, Azure OpenAI, local Ollama models, or any OpenAI-compatible provider, Plano provides seamless integration with enterprise-grade features.
 
+.. note::
+    Please refer to the quickstart guide :ref:`here <llm_routing_quickstart>` to configure and use LLM providers via common client libraries like OpenAI and Anthropic Python SDKs, or via direct HTTP/cURL requests.
+
 Core Capabilities
 -----------------
 

docs/source/concepts/llm_providers/supported_providers.rst

@@ -8,6 +8,9 @@ Plano provides first-class support for multiple LLM providers through native int
 .. note::
    **Model Support:** Plano supports all chat models from each provider, not just the examples shown in this guide. The configurations below demonstrate common models for reference, but you can use any chat model available from your chosen provider.
 
+   Please refer to the quuickstart guide :ref:`here <llm_routing_quickstart>` to configure and use LLM providers via common client libraries like OpenAI and Anthropic Python SDKs, or via direct HTTP/cURL requests.
+
+
 Configuration Structure
 -----------------------