feat: add OpenAI/Anthropic tools support with tool emulation

- Parse tools/tool_choice from OpenAI and Anthropic requests
- Inject tool definitions into system prompt via toolemulation
- Parse action blocks (```json action) from model responses
- Retry logic for forced tool_choice (any/required)
- Return proper tool_calls / tool_use in responses
- Support streaming tools via collect-and-replay pattern
- Add tool history projection (assistant tool_calls + tool results)
- Model ID normalization: use official names (Qwen3.6-Plus, etc.)
- Fix resolveSessionMode to use Fresh mode when tools present

scripts/test-macos.sh

@@ -0,0 +1,74 @@
+#!/bin/bash
+# lingma-ipc-proxy macOS 功能测试脚本
+# 用法: ./scripts/test-macos.sh [host:port]
+
+ENDPOINT="${1:-127.0.0.1:8095}"
+MODEL="dashscope_qwen3_coder"
+PASS=0
+FAIL=0
+
+assert_contains() {
+    local response="$1"
+    local expected="$2"
+    local test_name="$3"
+    if echo "$response" | grep -q "$expected"; then
+        echo "  ✅ $test_name"
+        PASS=$((PASS + 1))
+    else
+        echo "  ❌ $test_name"
+        echo "     期望包含: $expected"
+        echo "     实际响应: $(echo "$response" | head -c 200)"
+        FAIL=$((FAIL + 1))
+    fi
+}
+
+echo "========================================"
+echo "lingma-ipc-proxy macOS 功能测试"
+echo "端点: http://$ENDPOINT"
+echo "========================================"
+
+# 1. 测试 /v1/models
+echo ""
+echo "[1/4] 测试 /v1/models"
+RESPONSE=$(curl -s "http://$ENDPOINT/v1/models" 2>/dev/null || echo "ERROR")
+assert_contains "$RESPONSE" "dashscope_qwen3_coder" "模型列表包含 Qwen3-Coder"
+assert_contains "$RESPONSE" "kmodel" "模型列表包含 Kimi"
+assert_contains "$RESPONSE" '"object":"list"' "响应格式正确"
+
+# 2. 测试 /v1/chat/completions 非流式
+echo ""
+echo "[2/4] 测试 /v1/chat/completions (非流式)"
+RESPONSE=$(curl -s -X POST "http://$ENDPOINT/v1/chat/completions" \
+    -H 'Content-Type: application/json' \
+    -d "{\"model\":\"$MODEL\",\"messages\":[{\"role\":\"user\",\"content\":\"1+1=?\"}],\"stream\":false}" 2>/dev/null || echo "ERROR")
+assert_contains "$RESPONSE" "2" "回答包含正确答案"
+assert_contains "$RESPONSE" "chat.completion" "响应类型正确"
+assert_contains "$RESPONSE" "stop" "finish_reason 为 stop"
+
+# 3. 测试 /v1/chat/completions 流式
+echo ""
+echo "[3/4] 测试 /v1/chat/completions (流式 SSE)"
+RESPONSE=$(curl -s -N -X POST "http://$ENDPOINT/v1/chat/completions" \
+    -H 'Content-Type: application/json' \
+    -d "{\"model\":\"$MODEL\",\"messages\":[{\"role\":\"user\",\"content\":\"1+1=?\"}],\"stream\":true}" 2>/dev/null || echo "ERROR")
+assert_contains "$RESPONSE" "data:" "包含 SSE data: 前缀"
+assert_contains "$RESPONSE" "chat.completion.chunk" "chunk 类型正确"
+
+# 4. 测试 /v1/messages (Anthropic 格式)
+echo ""
+echo "[4/4] 测试 /v1/messages (Anthropic 格式)"
+RESPONSE=$(curl -s -X POST "http://$ENDPOINT/v1/messages" \
+    -H 'Content-Type: application/json' \
+    -d "{\"model\":\"$MODEL\",\"messages\":[{\"role\":\"user\",\"content\":\"2+2=?\"}],\"stream\":false}" 2>/dev/null || echo "ERROR")
+assert_contains "$RESPONSE" "4" "回答包含正确答案"
+assert_contains "$RESPONSE" "end_turn" "stop_reason 为 end_turn"
+
+# 汇总
+echo ""
+echo "========================================"
+echo "测试结果: $PASS 通过, $FAIL 失败"
+echo "========================================"
+
+if [ "$FAIL" -gt 0 ]; then
+    exit 1
+fi