mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-07-21 14:17:11 +08:00
feat: support skills
This commit is contained in:
saboteur7
@@ -1,6 +1,7 @@
|
||||
# encoding:utf-8
|
||||
|
||||
import time
|
||||
import json
|
||||
|
||||
import openai
|
||||
import openai.error
|
||||
@@ -171,6 +172,251 @@ class ChatGPTBot(Bot, OpenAIImage):
|
||||
else:
|
||||
return result
|
||||
|
||||
def call_with_tools(self, messages, tools=None, stream=False, **kwargs):
|
||||
"""
|
||||
Call OpenAI API with tool support for agent integration
|
||||
|
||||
Args:
|
||||
messages: List of messages (may be in Claude format from agent)
|
||||
tools: List of tool definitions (may be in Claude format from agent)
|
||||
stream: Whether to use streaming
|
||||
**kwargs: Additional parameters (max_tokens, temperature, system, etc.)
|
||||
|
||||
Returns:
|
||||
Formatted response in OpenAI format or generator for streaming
|
||||
"""
|
||||
try:
|
||||
# Convert messages from Claude format to OpenAI format
|
||||
messages = self._convert_messages_to_openai_format(messages)
|
||||
|
||||
# Convert tools from Claude format to OpenAI format
|
||||
if tools:
|
||||
tools = self._convert_tools_to_openai_format(tools)
|
||||
|
||||
# Handle system prompt (OpenAI uses system message, Claude uses separate parameter)
|
||||
system_prompt = kwargs.get('system')
|
||||
if system_prompt:
|
||||
# Add system message at the beginning if not already present
|
||||
if not messages or messages[0].get('role') != 'system':
|
||||
messages = [{"role": "system", "content": system_prompt}] + messages
|
||||
else:
|
||||
# Replace existing system message
|
||||
messages[0] = {"role": "system", "content": system_prompt}
|
||||
|
||||
# Build request parameters
|
||||
request_params = {
|
||||
"model": kwargs.get("model", conf().get("model") or "gpt-3.5-turbo"),
|
||||
"messages": messages,
|
||||
"temperature": kwargs.get("temperature", conf().get("temperature", 0.9)),
|
||||
"top_p": kwargs.get("top_p", conf().get("top_p", 1)),
|
||||
"frequency_penalty": kwargs.get("frequency_penalty", conf().get("frequency_penalty", 0.0)),
|
||||
"presence_penalty": kwargs.get("presence_penalty", conf().get("presence_penalty", 0.0)),
|
||||
"stream": stream
|
||||
}
|
||||
|
||||
# Add max_tokens if specified
|
||||
if kwargs.get("max_tokens"):
|
||||
request_params["max_tokens"] = kwargs["max_tokens"]
|
||||
|
||||
# Add tools if provided
|
||||
if tools:
|
||||
request_params["tools"] = tools
|
||||
request_params["tool_choice"] = kwargs.get("tool_choice", "auto")
|
||||
|
||||
# Handle model-specific parameters (o1, gpt-5 series don't support some params)
|
||||
model = request_params["model"]
|
||||
if model in [const.O1, const.O1_MINI, const.GPT_5, const.GPT_5_MINI, const.GPT_5_NANO]:
|
||||
remove_keys = ["temperature", "top_p", "frequency_penalty", "presence_penalty"]
|
||||
for key in remove_keys:
|
||||
request_params.pop(key, None)
|
||||
|
||||
# Make API call
|
||||
# Note: Don't pass api_key explicitly to use global openai.api_key and openai.api_base
|
||||
# which are set in __init__
|
||||
if stream:
|
||||
return self._handle_stream_response(request_params)
|
||||
else:
|
||||
return self._handle_sync_response(request_params)
|
||||
|
||||
except Exception as e:
|
||||
error_msg = str(e)
|
||||
logger.error(f"[ChatGPT] call_with_tools error: {error_msg}")
|
||||
if stream:
|
||||
def error_generator():
|
||||
yield {
|
||||
"error": True,
|
||||
"message": error_msg,
|
||||
"status_code": 500
|
||||
}
|
||||
return error_generator()
|
||||
else:
|
||||
return {
|
||||
"error": True,
|
||||
"message": error_msg,
|
||||
"status_code": 500
|
||||
}
|
||||
|
||||
def _handle_sync_response(self, request_params):
|
||||
"""Handle synchronous OpenAI API response"""
|
||||
try:
|
||||
# Explicitly set API configuration to ensure it's used
|
||||
# (global settings can be unreliable in some contexts)
|
||||
api_key = conf().get("open_ai_api_key")
|
||||
api_base = conf().get("open_ai_api_base")
|
||||
|
||||
# Build kwargs with explicit API configuration
|
||||
kwargs = dict(request_params)
|
||||
if api_key:
|
||||
kwargs["api_key"] = api_key
|
||||
if api_base:
|
||||
kwargs["api_base"] = api_base
|
||||
|
||||
response = openai.ChatCompletion.create(**kwargs)
|
||||
|
||||
# Response is already in OpenAI format
|
||||
logger.info(f"[ChatGPT] call_with_tools reply, model={response.get('model')}, "
|
||||
f"total_tokens={response.get('usage', {}).get('total_tokens', 0)}")
|
||||
|
||||
return response
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[ChatGPT] sync response error: {e}")
|
||||
raise
|
||||
|
||||
def _handle_stream_response(self, request_params):
|
||||
"""Handle streaming OpenAI API response"""
|
||||
try:
|
||||
# Explicitly set API configuration to ensure it's used
|
||||
api_key = conf().get("open_ai_api_key")
|
||||
api_base = conf().get("open_ai_api_base")
|
||||
|
||||
logger.debug(f"[ChatGPT] Starting stream with params: model={request_params.get('model')}, stream={request_params.get('stream')}")
|
||||
|
||||
# Build kwargs with explicit API configuration
|
||||
kwargs = dict(request_params)
|
||||
if api_key:
|
||||
kwargs["api_key"] = api_key
|
||||
if api_base:
|
||||
kwargs["api_base"] = api_base
|
||||
|
||||
stream = openai.ChatCompletion.create(**kwargs)
|
||||
|
||||
# OpenAI stream is already in the correct format
|
||||
chunk_count = 0
|
||||
for chunk in stream:
|
||||
chunk_count += 1
|
||||
yield chunk
|
||||
|
||||
logger.debug(f"[ChatGPT] Stream completed, yielded {chunk_count} chunks")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"[ChatGPT] stream response error: {e}", exc_info=True)
|
||||
yield {
|
||||
"error": True,
|
||||
"message": str(e),
|
||||
"status_code": 500
|
||||
}
|
||||
|
||||
def _convert_tools_to_openai_format(self, tools):
|
||||
"""
|
||||
Convert tools from Claude format to OpenAI format
|
||||
|
||||
Claude format: {name, description, input_schema}
|
||||
OpenAI format: {type: "function", function: {name, description, parameters}}
|
||||
"""
|
||||
if not tools:
|
||||
return None
|
||||
|
||||
openai_tools = []
|
||||
for tool in tools:
|
||||
# Check if already in OpenAI format
|
||||
if 'type' in tool and tool['type'] == 'function':
|
||||
openai_tools.append(tool)
|
||||
else:
|
||||
# Convert from Claude format
|
||||
openai_tools.append({
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": tool.get("name"),
|
||||
"description": tool.get("description"),
|
||||
"parameters": tool.get("input_schema", {})
|
||||
}
|
||||
})
|
||||
|
||||
return openai_tools
|
||||
|
||||
def _convert_messages_to_openai_format(self, messages):
|
||||
"""
|
||||
Convert messages from Claude format to OpenAI format
|
||||
|
||||
Claude uses content blocks with types like 'tool_use', 'tool_result'
|
||||
OpenAI uses 'tool_calls' in assistant messages and 'tool' role for results
|
||||
"""
|
||||
if not messages:
|
||||
return []
|
||||
|
||||
openai_messages = []
|
||||
|
||||
for msg in messages:
|
||||
role = msg.get("role")
|
||||
content = msg.get("content")
|
||||
|
||||
# Handle string content (already in correct format)
|
||||
if isinstance(content, str):
|
||||
openai_messages.append(msg)
|
||||
continue
|
||||
|
||||
# Handle list content (Claude format with content blocks)
|
||||
if isinstance(content, list):
|
||||
# Check if this is a tool result message (user role with tool_result blocks)
|
||||
if role == "user" and any(block.get("type") == "tool_result" for block in content):
|
||||
# Convert each tool_result block to a separate tool message
|
||||
for block in content:
|
||||
if block.get("type") == "tool_result":
|
||||
openai_messages.append({
|
||||
"role": "tool",
|
||||
"tool_call_id": block.get("tool_use_id"),
|
||||
"content": block.get("content", "")
|
||||
})
|
||||
|
||||
# Check if this is an assistant message with tool_use blocks
|
||||
elif role == "assistant":
|
||||
# Separate text content and tool_use blocks
|
||||
text_parts = []
|
||||
tool_calls = []
|
||||
|
||||
for block in content:
|
||||
if block.get("type") == "text":
|
||||
text_parts.append(block.get("text", ""))
|
||||
elif block.get("type") == "tool_use":
|
||||
tool_calls.append({
|
||||
"id": block.get("id"),
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": block.get("name"),
|
||||
"arguments": json.dumps(block.get("input", {}))
|
||||
}
|
||||
})
|
||||
|
||||
# Build OpenAI format assistant message
|
||||
openai_msg = {
|
||||
"role": "assistant",
|
||||
"content": " ".join(text_parts) if text_parts else None
|
||||
}
|
||||
|
||||
if tool_calls:
|
||||
openai_msg["tool_calls"] = tool_calls
|
||||
|
||||
openai_messages.append(openai_msg)
|
||||
else:
|
||||
# Other list content, keep as is
|
||||
openai_messages.append(msg)
|
||||
else:
|
||||
# Other formats, keep as is
|
||||
openai_messages.append(msg)
|
||||
|
||||
return openai_messages
|
||||
|
||||
|
||||
class AzureChatGPTBot(ChatGPTBot):
|
||||
def __init__(self):
|
||||
|
||||
Reference in New Issue
Block a user