Perfect! I have successfully updated the documentation files to include Moonshot. Let me summarize what has been updated:

## ✅ **Documentation Updates Complete**

### 🔢 **Updated Provider Counts**
- **`docs/providers/README.md`**: Updated from 18 to 19 providers
- **`docs/index.md`**: Updated from "18+ providers" to "19+ providers"

### 📋 **Added Moonshot to Provider List** (`docs/providers/README.md`)
- **Specialized Providers section**: Added comprehensive Moonshot entry with:
  - Models: Kimi K2, moonshot-v1-8k/32k/128k
  - Features: Long-context (200K+ tokens), Chinese/English bilingual, vision support
  - Pricing: Cost-effective (~5x cheaper than Claude/Gemini)
  - Best for: Long-context processing, Chinese language, document analysis

### 🔧 **Updated Comparison Tables** (`docs/providers/README.md`)
- **Context Length ranking**: Added "Moonshot Kimi - 200K tokens" 
- **Features support**: Added Moonshot to:
  - Function Calling support
  - Vision support  
  - JSON Mode support

### 📊 **Added Model Naming Documentation** (`docs/providers/README.md`)
- **Model naming table**: Added `moonshot/{model}` format with example `moonshot/moonshot-v1-8k`
- **Additional examples**: Added `"moonshot/moonshot-v1-8k"` to standard models list

### 📖 **Created Setup Guide** (`docs/providers/setup.md`)
- **Added to table of contents**: Listed between DeepSeek and Cohere
- **Complete setup section** with:
  - Step-by-step API key instructions
  - Environment variable setup (`MOONSHOT_API_KEY`)
  - Test connection example
  - Available models list (8k, 32k, 128k, K2 preview)
  - Key features overview (long context, multilingual, vision, audio, cost-effective)

## 🎯 **Summary**

The OneLLM documentation now comprehensively includes Moonshot as:
- ✅ **19th provider** in all provider counts  
- ✅ **Specialized provider** for long-context and Chinese language tasks
- ✅ **Top-tier context length** provider (200K tokens)
- ✅ **Multi-feature provider** (vision, function calling, JSON mode)
- ✅ **Complete setup guide** with all necessary information

**All relevant documentation files have been updated to reflect Moonshot's addition to OneLLM!** 📚✨

Author: ranaroussi

docs/index.md

@@ -25,7 +25,7 @@ nav_order: 1
 
 ---
 
-Welcome to the OneLLM documentation! OneLLM is a unified interface for 300+ LLMs across 18+ providers, designed as a drop-in replacement for the OpenAI Python client.
+Welcome to the OneLLM documentation! OneLLM is a unified interface for 300+ LLMs across 19+ providers, designed as a drop-in replacement for the OpenAI Python client.
 
 ## 🚀 Get Started
 

docs/providers/README.md

@@ -7,7 +7,7 @@ has_children: true
 
 # Providers
 
-OneLLM supports 18 providers, giving you access to 300+ language models through a unified interface.
+OneLLM supports 19 providers, giving you access to 300+ language models through a unified interface.
 
 ## Provider List
 
@@ -94,6 +94,13 @@ OneLLM supports 18 providers, giving you access to 300+ language models through
 - **Best for**: Chinese language, coding
 - **Setup**: [DeepSeek Setup Guide](setup.md#deepseek)
 
+#### Moonshot
+- **Models**: Kimi K2, moonshot-v1-8k/32k/128k
+- **Features**: Long-context (200K+ tokens), Chinese/English bilingual, vision support
+- **Pricing**: Cost-effective (~5x cheaper than Claude/Gemini)
+- **Best for**: Long-context processing, Chinese language, document analysis
+- **Setup**: [Moonshot Setup Guide](setup.md#moonshot)
+
 #### Cohere
 - **Models**: Command R/R+, Embed
 - **Features**: RAG optimization, embeddings
@@ -160,10 +167,11 @@ OneLLM supports 18 providers, giving you access to 300+ language models through
 
 ### By Context Length
 1. **Google Gemini 1.5** - 1M+ tokens
-2. **Anthropic Claude** - 200K tokens
-3. **X.AI Grok** - 128K tokens
-4. **Perplexity** - 128K tokens
-5. **OpenAI GPT-4** - 128K tokens
+2. **Moonshot Kimi** - 200K tokens
+3. **Anthropic Claude** - 200K tokens
+4. **X.AI Grok** - 128K tokens
+5. **Perplexity** - 128K tokens
+6. **OpenAI GPT-4** - 128K tokens
 
 ### By Price (Lowest to Highest)
 1. **Local** (Ollama/llama.cpp) - Free
@@ -173,10 +181,10 @@ OneLLM supports 18 providers, giving you access to 300+ language models through
 5. **OpenAI/Anthropic** - Premium
 
 ### By Features
-- **Function Calling**: OpenAI, Mistral, Groq, Anyscale
-- **Vision**: OpenAI, Anthropic, Google, Vertex AI
+- **Function Calling**: OpenAI, Mistral, Groq, Anyscale, Moonshot
+- **Vision**: OpenAI, Anthropic, Google, Vertex AI, Moonshot
 - **Web Search**: Perplexity
-- **JSON Mode**: OpenAI, Google, Mistral, Groq
+- **JSON Mode**: OpenAI, Google, Mistral, Groq, Moonshot
 - **Embeddings**: OpenAI, Cohere, Google, Bedrock
 
 ## Model Naming Convention
@@ -240,6 +248,11 @@ Models are specified using a provider prefix to clearly identify the source:
     <td><code>bedrock/{model}</code></td>
     <td><code>bedrock/claude-3-5-sonnet</code></td>
   </tr>
+  <tr>
+    <td>Moonshot</td>
+    <td><code>moonshot/{model}</code></td>
+    <td><code>moonshot/moonshot-v1-8k</code></td>
+  </tr>
 </table>
 
 ### Additional Examples
@@ -250,6 +263,7 @@ Models are specified using a provider prefix to clearly identify the source:
 "anthropic/claude-3-5-sonnet-20241022"
 "google/gemini-1.5-flash"
 "groq/llama3-70b-8192"
+"moonshot/moonshot-v1-8k"
 
 # Models with organization prefixes
 "together/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo"

docs/providers/setup.md

@@ -22,6 +22,7 @@ Detailed setup instructions for each provider supported by OneLLM.
 - [X.AI](#xai)
 - [Perplexity](#perplexity)
 - [DeepSeek](#deepseek)
+- [Moonshot](#moonshot)
 - [Cohere](#cohere)
 - [OpenRouter](#openrouter)
 - [Azure OpenAI](#azure)
@@ -316,6 +317,41 @@ response = client.chat.completions.create(
 
 ---
 
+## Moonshot {#moonshot}
+
+### 1. Get API Key
+1. Go to [platform.moonshot.ai](https://platform.moonshot.ai)
+2. Register account  
+3. Get API key from console
+
+### 2. Set Environment Variable
+```bash
+export MOONSHOT_API_KEY="sk-..."
+```
+
+### 3. Test Connection
+```python
+response = client.chat.completions.create(
+    model="moonshot/moonshot-v1-8k",
+    messages=[{"role": "user", "content": "你好!"}]
+)
+```
+
+### 4. Available Models
+- `moonshot-v1-8k` - 8K context window
+- `moonshot-v1-32k` - 32K context window  
+- `moonshot-v1-128k` - 128K context window
+- `kimi-k2-0711-preview` - Latest K2 model (preview)
+
+### 5. Features
+- **Long Context**: Up to 200K tokens
+- **Multilingual**: Strong Chinese/English support
+- **Vision**: Kimi-VL model supports images
+- **Audio**: Kimi-Audio model supports audio input
+- **Cost-effective**: ~5x cheaper than Claude/Gemini
+
+---
+
 ## Cohere {#cohere}
 
 ### 1. Get API Key