Skip to content

为OpenAI API调用添加指数退避重试机制 #71

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
NoAmateur wants to merge 1 commit into
base: main
Choose a base branch
from
Open

为OpenAI API调用添加指数退避重试机制 #71

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
38 changes: 24 additions & 14 deletions memoryos-chromadb/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,20 +39,30 @@ def __init__(self, api_key, base_url=None, max_workers=5):
self._lock = threading.Lock()

def chat_completion(self, model, messages, temperature=0.7, max_tokens=2000):
print(f"Calling OpenAI API. Model: {model}")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
print(f"Error calling OpenAI API: {e}")
return "Error: Could not get response from LLM."
max_retries = 3
for attempt in range(max_retries):
print(f"Calling OpenAI API. Model: {model} (attempt {attempt + 1}/{max_retries})")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
error_str = str(e).lower()
is_retryable = any(code in error_str for code in ["429", "502", "503", "timeout", "connection"])
if is_retryable and attempt < max_retries - 1:
wait_time = 2 ** attempt
print(f"Error calling OpenAI API: {e}. Retrying in {wait_time}s...")
time.sleep(wait_time)
else:
print(f"Error calling OpenAI API: {e}")
return "Error: Could not get response from LLM."
return "Error: Could not get response from LLM."

def chat_completion_async(self, model, messages, temperature=0.7, max_tokens=2000):
return self.executor.submit(self.chat_completion, model, messages, temperature, max_tokens)
Expand Down
41 changes: 25 additions & 16 deletions memoryos-mcp/memoryos/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,22 +46,31 @@ def __init__(self, api_key, base_url=None, max_workers=5):
self._lock = threading.Lock()

def chat_completion(self, model, messages, temperature=0.7, max_tokens=2000):
print(f"Calling OpenAI API. Model: {model}")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
print(f"Error calling OpenAI API: {e}")
# Fallback or error handling
return "Error: Could not get response from LLM."
max_retries = 3
for attempt in range(max_retries):
print(f"Calling OpenAI API. Model: {model} (attempt {attempt + 1}/{max_retries})")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
error_str = str(e).lower()
is_retryable = any(code in error_str for code in ["429", "502", "503", "timeout", "connection"])
if is_retryable and attempt < max_retries - 1:
wait_time = 2 ** attempt
print(f"Error calling OpenAI API: {e}. Retrying in {wait_time}s...")
time.sleep(wait_time)
else:
print(f"Error calling OpenAI API: {e}")
return "Error: Could not get response from LLM."
return "Error: Could not get response from LLM."

def chat_completion_async(self, model, messages, temperature=0.7, max_tokens=2000):
"""异步版本的chat_completion"""
Expand Down
41 changes: 25 additions & 16 deletions memoryos-playground/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,22 +46,31 @@ def __init__(self, api_key, base_url=None, max_workers=5):
self._lock = threading.Lock()

def chat_completion(self, model, messages, temperature=0.7, max_tokens=2000):
print(f"Calling OpenAI API. Model: {model}")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
print(f"Error calling OpenAI API: {e}")
# Fallback or error handling
return "Error: Could not get response from LLM."
max_retries = 3
for attempt in range(max_retries):
print(f"Calling OpenAI API. Model: {model} (attempt {attempt + 1}/{max_retries})")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
error_str = str(e).lower()
is_retryable = any(code in error_str for code in ["429", "502", "503", "timeout", "connection"])
if is_retryable and attempt < max_retries - 1:
wait_time = 2 ** attempt
print(f"Error calling OpenAI API: {e}. Retrying in {wait_time}s...")
time.sleep(wait_time)
else:
print(f"Error calling OpenAI API: {e}")
return "Error: Could not get response from LLM."
return "Error: Could not get response from LLM."

def chat_completion_async(self, model, messages, temperature=0.7, max_tokens=2000):
"""异步版本的chat_completion"""
Expand Down
41 changes: 25 additions & 16 deletions memoryos-pypi/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,22 +46,31 @@ def __init__(self, api_key, base_url=None, max_workers=5):
self._lock = threading.Lock()

def chat_completion(self, model, messages, temperature=0.7, max_tokens=2000):
print(f"Calling OpenAI API. Model: {model}")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
print(f"Error calling OpenAI API: {e}")
# Fallback or error handling
return "Error: Could not get response from LLM."
max_retries = 3
for attempt in range(max_retries):
print(f"Calling OpenAI API. Model: {model} (attempt {attempt + 1}/{max_retries})")
try:
response = self.client.chat.completions.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
raw_content = response.choices[0].message.content.strip()
# 自动清理推理模型的<think>标签
cleaned_content = clean_reasoning_model_output(raw_content)
return cleaned_content
except Exception as e:
error_str = str(e).lower()
is_retryable = any(code in error_str for code in ["429", "502", "503", "timeout", "connection"])
if is_retryable and attempt < max_retries - 1:
wait_time = 2 ** attempt
print(f"Error calling OpenAI API: {e}. Retrying in {wait_time}s...")
time.sleep(wait_time)
else:
print(f"Error calling OpenAI API: {e}")
return "Error: Could not get response from LLM."
return "Error: Could not get response from LLM."

def chat_completion_async(self, model, messages, temperature=0.7, max_tokens=2000):
"""异步版本的chat_completion"""
Expand Down