add contribute guide and fix openai implement to openai-compatible (#13)

.gitignore

@@ -9,3 +9,4 @@ test/
 build/
 scripts/
 dist/
+contribute/output/

README.md

@@ -17,10 +17,12 @@ This architecture allows language models to:
 Currently supports:
 - Claude 3.5 Sonnet (claude-3-5-sonnet-20240620)
 - Any Ollama-compatible model with function calling support
+- Any OpenAI-compatible local or online model with function calling support
+
 
 ## Features ✨
 
-- Interactive conversations with either Claude 3.5 Sonnet or Ollama models
+- Interactive conversations with support models
 - Support for multiple concurrent MCP servers
 - Dynamic tool discovery and integration
 - Tool calling capabilities for both model types
@@ -53,6 +55,10 @@ ollama pull mistral
 ollama serve
 ```
 
+3. OpenAI compatible online Setup
+- Get your api server base url, api key and model name
+
+
 ## Installation 📦
 
 ```bash
@@ -99,7 +105,7 @@ MCPHost is a CLI tool that allows you to interact with various AI models through
 ### Available Models
 Models can be specified using the `--model` (`-m`) flag:
 - Anthropic Claude (default): `anthropic:claude-3-5-sonnet-latest`
-- OpenAI: `openai:gpt-4`
+- OpenAI or OpenAI-compatible: `openai:gpt-4`
 - Ollama models: `ollama:modelname`
 
 ### Examples
@@ -109,6 +115,11 @@ mcphost -m ollama:qwen2.5:3b
 
 # Use OpenAI's GPT-4
 mcphost -m openai:gpt-4
+
+# Use OpenAI-compatible model
+mcphost --model openai:<your-model-name> \
+--openai-url <your-base-url> \
+--openai-api-key <your-api-key>
 ```
 
 ### Flags

contribute/boost.sh

@@ -0,0 +1,4 @@
+./output/mcphost --model openai:<your-model-name> \
+--openai-url <your-base-url> \
+--openai-api-key <your-api-key> \
+--config ./conf/demo.json --debug

contribute/build.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+
+RUN_NAME="mcphost"
+
+mkdir -p output
+go build -o output/${RUN_NAME}

contribute/conf/demo.json

@@ -0,0 +1,22 @@
+{
+    "mcpServers": {
+        "filesystem": {
+            "command": "npx",
+            "args": [
+                "-y",
+                "@modelcontextprotocol/server-filesystem",
+                "./"
+            ]
+        },
+        "weather": {
+            "command": "uv",
+            "args": [
+                "--directory",
+                "/Users/bytedance/code/MCP/my_host/weather",
+                "run",
+                "weather.py"
+            ]
+        }
+    }
+}
+

contribute/contribute.md

@@ -0,0 +1,31 @@
+# Contribute README
+Thanks for your contribution, you can follow these step to run this repo and debug it.
+## Run demo
+1. clone this repo to your work dir.
+    ```bash
+    git clone https://github.com/mark3labs/mcphost.git
+    ```
+
+2. enter the `contribute` dir.
+    ```bash
+    cd mcphost/contribute
+    ```
+
+3. run `build.sh` to build your binary file.
+   ```bash
+      ./build.sh
+   ```
+
+4. open `boost.sh` file and fill your model info in.
+   ```bash
+      cat boost.sh
+      vi boost.sh
+   ```
+
+5. run `boost.sh` to run your mcphost, if you don't want run it in debug model, you can delete the `--debug` flag in `boost.sh`.
+   ```bash
+      ./boost.sh
+   ```
+
+## Contribute your code
+just write your code and push it.

pkg/llm/openai/client.go

@@ -6,7 +6,6 @@ import (
 	"encoding/json"
 	"fmt"
 	"net/http"
-	"strings"
 )
 
 type Client struct {
@@ -18,8 +17,6 @@ type Client struct {
 func NewClient(apiKey string, baseURL string) *Client {
 	if baseURL == "" {
 		baseURL = "https://api.openai.com/v1"
-	} else if !strings.HasSuffix(baseURL, "/v1") {
-		baseURL = strings.TrimSuffix(baseURL, "/") + "/v1"
 	}
 	return &Client{
 		apiKey:  apiKey,

pkg/llm/openai/types.go

@@ -9,12 +9,13 @@ type CreateRequest struct {
 }
 
 type MessageParam struct {
-	Role         string        `json:"role"`
-	Content      *string       `json:"content"`
-	FunctionCall *FunctionCall `json:"function_call,omitempty"`
-	ToolCalls    []ToolCall    `json:"tool_calls,omitempty"`
-	Name         string        `json:"name,omitempty"`
-	ToolCallID   string        `json:"tool_call_id,omitempty"`
+	Role             string        `json:"role"`
+	Content          *string       `json:"content"`
+	ReasoningContent *string       `json:"reasoning_content"`
+	FunctionCall     *FunctionCall `json:"function_call,omitempty"`
+	ToolCalls        []ToolCall    `json:"tool_calls,omitempty"`
+	Name             string        `json:"name,omitempty"`
+	ToolCallID       string        `json:"tool_call_id,omitempty"`
 }
 
 type ToolCall struct {