PyPI version PyPI - Downloads codecov
The Coze Python SDK is your comprehensive solution for seamlessly integrating Coze's powerful open APIs into Python applications.
- Complete API coverage: All Coze open APIs and authentication methods supported
- Dual interface: Both synchronous and asynchronous SDK calls available
- Stream-optimized: Native Stream and AsyncStream objects for real-time data
- Pagination made easy: Iterator-based Page objects for efficient list operations
- Developer-first: Intuitive API design for rapid integration
Python 3.7 or higher.
pip install cozepy
Start by obtaining your access token from the Coze platform:
- For coze.cn: Visit https://www.coze.cn/open/oauth/pats
- For coze.com: Visit https://www.coze.com/open/oauth/pats
Create a new personal access token by specifying a name, expiration period, and required permissions. Store this token securely—never expose it in code or version control.
import os from cozepy import Coze, TokenAuth, COZE_CN_BASE_URL, AsyncCoze, AsyncTokenAuth # Get an access_token through personal access token or oauth. coze_api_token = os.getenv("COZE_API_TOKEN") # The default access is api.coze.com, but if you need to access api.coze.cn, # please use base_url to configure the api endpoint to access coze_api_base = os.getenv("COZE_API_BASE") or COZE_CN_BASE_URL # init coze with token and base_url coze = Coze(auth=TokenAuth(coze_api_token), base_url=coze_api_base) async_coze = AsyncCoze(auth=AsyncTokenAuth(coze_api_token), base_url=coze_api_base)
coze api access_token can also be generated via the OAuth App. For details, refer to:
Create your bot in Coze and extract the bot ID from the URL (the final numeric segment).
Use coze.chat.stream for real-time streaming conversations. This method returns a Chat Iterator that yields events as they occur—simply iterate through the stream to process each event.
import os from cozepy import Coze, TokenAuth, Message, ChatEventType, COZE_CN_BASE_URL # initialize client coze_api_token = os.getenv("COZE_API_TOKEN") coze_api_base = os.getenv("COZE_API_BASE") or COZE_CN_BASE_URL coze = Coze(auth=TokenAuth(coze_api_token), base_url=coze_api_base) # The return values of the streaming interface can be iterated immediately. for event in coze.chat.stream( # id of bot bot_id='bot_id', # id of user, Note: The user_id here is specified by the developer, for example, it can be the # business id in the developer system, and does not include the internal attributes of coze. user_id='user_id', # user input additional_messages=[Message.build_user_question_text("How are you?")] # conversation id, for Chaining conversation context # conversation_id='<conversation_id>', ): if event.event == ChatEventType.CONVERSATION_MESSAGE_DELTA: print(event.message.content, end="") if event.event == ChatEventType.CONVERSATION_CHAT_COMPLETED: print() print("token usage:", event.chat.usage.token_count)
Execute workflows directly through the SDK for powerful automation capabilities.
import os from cozepy import TokenAuth, ChatEventType, Coze, COZE_CN_BASE_URL, Message # Get the workflow id workflow_id = os.getenv("COZE_WORKFLOW_ID") or "workflow id" # Get the bot id bot_id = os.getenv("COZE_BOT_ID") # initialize client coze_api_token = os.getenv("COZE_API_TOKEN") coze_api_base = os.getenv("COZE_API_BASE") or COZE_CN_BASE_URL coze = Coze(auth=TokenAuth(coze_api_token), base_url=coze_api_base) conversation = coze.conversations.create() # Call the coze.chat.stream method to create a chat. The create method is a streaming # chat and will return a Chat Iterator. Developers should iterate the iterator to get # chat event and handle them. for event in coze.workflows.chat.stream( workflow_id=workflow_id, bot_id=bot_id, conversation_id=conversation.id, additional_messages=[ Message.build_user_question_text("How are you?"), ], ): if event.event == ChatEventType.CONVERSATION_MESSAGE_DELTA: print(event.message.content, end="", flush=True) if event.event == ChatEventType.CONVERSATION_CHAT_COMPLETED: print() print("token usage:", event.chat.usage.token_count)
import asyncio import os from cozepy import ( AsyncTokenAuth, COZE_CN_BASE_URL, AsyncCoze, AsyncWebsocketsChatClient, AsyncWebsocketsChatEventHandler, AudioFormat, ConversationAudioDeltaEvent, ConversationChatCompletedEvent, ConversationChatCreatedEvent, ConversationMessageDeltaEvent, InputAudioBufferAppendEvent, ) from cozepy.log import log_info from cozepy.util import write_pcm_to_wav_file class AsyncWebsocketsChatEventHandlerSub(AsyncWebsocketsChatEventHandler): delta = [] async def on_conversation_chat_created(self, cli: AsyncWebsocketsChatClient, event: ConversationChatCreatedEvent): log_info("[examples] asr completed, logid=%s", event.detail.logid) async def on_conversation_message_delta(self, cli: AsyncWebsocketsChatClient, event: ConversationMessageDeltaEvent): print("Received:", event.data.content) async def on_conversation_audio_delta(self, cli: AsyncWebsocketsChatClient, event: ConversationAudioDeltaEvent): self.delta.append(event.data.get_audio()) async def on_conversation_chat_completed( self, cli: "AsyncWebsocketsChatClient", event: ConversationChatCompletedEvent ): log_info("[examples] Saving audio data to output.wav") write_pcm_to_wav_file(b"".join(self.delta), "output.wav") def wrap_coze_speech_to_iterator(coze: AsyncCoze, text: str): async def iterator(): voices = await coze.audio.voices.list() content = await coze.audio.speech.create( input=text, voice_id=voices.items[0].voice_id, response_format=AudioFormat.WAV, sample_rate=24000, ) for data in content._raw_response.iter_bytes(chunk_size=1024): yield data return iterator async def main(): coze_api_token = os.getenv("COZE_API_TOKEN") coze_api_base = os.getenv("COZE_API_BASE") or COZE_CN_BASE_URL coze = AsyncCoze(auth=AsyncTokenAuth(coze_api_token), base_url=coze_api_base) bot_id = os.getenv("COZE_BOT_ID") text = os.getenv("COZE_TEXT") or "How Are you?" # Initialize Audio speech_stream = wrap_coze_speech_to_iterator(coze, text) chat = coze.websockets.chat.create( bot_id=bot_id, on_event=AsyncWebsocketsChatEventHandlerSub(), ) # Create and connect WebSocket client async with chat() as client: # Read and send audio data async for delta in speech_stream(): await client.input_audio_buffer_append( InputAudioBufferAppendEvent.Data.model_validate( { "delta": delta, } ) ) await client.input_audio_buffer_complete() await client.wait() asyncio.run(main())
Every SDK request includes a unique log ID for debugging purposes. Retrieve this ID from any response object to troubleshoot issues with Coze support.
import os from cozepy import Coze, TokenAuth coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) bot = coze.bots.retrieve(bot_id='bot id') print(bot.response.logid) # support for CozeModel stream = coze.chat.stream(bot_id='bot id', user_id='user id') print(stream.response.logid) # support for stream workspaces = coze.workspaces.list() print(workspaces.response.logid) # support for paged messages = coze.chat.messages.list(conversation_id='conversation id', chat_id='chat id') print(messages.response.logid) # support for list(simple list, not paged)
Leverage full async/await support via httpx.AsyncClient. Simply swap Coze for AsyncCoze to enable non-blocking API calls across all Coze endpoints.
import os import asyncio from cozepy import AsyncTokenAuth, Message, AsyncCoze, COZE_CN_BASE_URL # Get an access_token through personal access token or oauth. coze_api_token = os.getenv("COZE_API_TOKEN") # The default access is api.coze.com, but if you need to access api.coze.cn, # please use base_url to configure the api endpoint to access coze_api_base = os.getenv("COZE_API_BASE") or COZE_CN_BASE_URL # init coze with token and base_url coze = AsyncCoze(auth=AsyncTokenAuth(coze_api_token), base_url=coze_api_base) async def main() -> None: chat = await coze.chat.create( bot_id='bot id', # id of user, Note: The user_id here is specified by the developer, for example, it can be the business id in the developer system, and does not include the internal attributes of coze. user_id='user id', additional_messages=[ Message.build_user_question_text('how are you?'), Message.build_assistant_answer('I am fine, thank you.') ], ) print('chat', chat) asyncio.run(main())
Both bot conversations and workflow executions offer real-time streaming capabilities for responsive user experiences.
chat streaming example:
import os from cozepy import Coze, TokenAuth, ChatEventType, Message coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) stream = coze.chat.stream( bot_id='bot id', # id of user, Note: The user_id here is specified by the developer, for example, it can be the # business id in the developer system, and does not include the internal attributes of coze. user_id='user id', additional_messages=[ Message.build_user_question_text('how are you?'), Message.build_assistant_answer('I am fine, thank you.') ], ) for event in stream: if event.event == ChatEventType.CONVERSATION_MESSAGE_DELTA: print('got message delta:', event.message.content)
workflow streaming example:
import os from cozepy import Coze, TokenAuth, Stream, WorkflowEvent, WorkflowEventType coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) def handle_workflow_iterator(stream: Stream[WorkflowEvent]): for event in stream: if event.event == WorkflowEventType.MESSAGE: print('got message', event.message) elif event.event == WorkflowEventType.ERROR: print('got error', event.error) elif event.event == WorkflowEventType.INTERRUPT: handle_workflow_iterator(coze.workflows.runs.resume( workflow_id='workflow id', event_id=event.interrupt.interrupt_data.event_id, resume_data='hey', interrupt_type=event.interrupt.interrupt_data.type, )) handle_workflow_iterator(coze.workflows.runs.stream( workflow_id='workflow id', parameters={ 'input_key': 'input value', } ))
Asynchronous calls also support streaming mode:
import os import asyncio from cozepy import AsyncTokenAuth, ChatEventType, Message, AsyncCoze coze = AsyncCoze(auth=AsyncTokenAuth(os.getenv("COZE_API_TOKEN"))) async def main(): stream = coze.chat.stream( bot_id='bot id', # id of user, Note: The user_id here is specified by the developer, for example, it can be the # business id in the developer system, and does not include the internal attributes of coze. user_id='user id', additional_messages=[ Message.build_user_question_text('how are you?'), Message.build_assistant_answer('I am fine, thank you.') ], ) async for event in stream: if event.event == ChatEventType.CONVERSATION_MESSAGE_DELTA: print('got message delta:', event.message.content) asyncio.run(main())
All list endpoints return intelligent paginators that support multiple iteration patterns. Explore three flexible approaches using bot listing as an example:
import os from cozepy import Coze, TokenAuth coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) # open your workspace, browser url will be https://www.coze.com/space/<this is workspace id>/develop # copy <this is workspace id> as workspace id bots_page = coze.bots.list(space_id='workspace id', page_size=10) bots = bots_page.items total = bots_page.total has_more = bots_page.has_more
import os from cozepy import Coze, TokenAuth coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) # open your workspace, browser url will be https://www.coze.com/space/<this is workspace id>/develop # copy <this is workspace id> as workspace id bots_page = coze.bots.list(space_id='workspace id', page_size=10) for bot in bots_page: print('got bot:', bot)
Asynchronous methods also support:
import os import asyncio from cozepy import AsyncTokenAuth, AsyncCoze coze = AsyncCoze(auth=AsyncTokenAuth(os.getenv("COZE_API_TOKEN"))) async def main(): # open your workspace, browser url will be https://www.coze.com/space/<this is workspace id>/develop # copy <this is workspace id> as workspace id bots_page = await coze.bots.list(space_id='workspace id', page_size=10) async for bot in bots_page: print('got bot:', bot) asyncio.run(main())
import os from cozepy import Coze, TokenAuth coze = Coze(auth=TokenAuth(os.getenv("COZE_API_TOKEN"))) # open your workspace, browser url will be https://www.coze.com/space/<this is workspace id>/develop # copy <this is workspace id> as workspace id bots_page = coze.bots.list(space_id='workspace id', page_size=10) for page in bots_page.iter_pages(): print('got page:', page.page_num) for bot in page.items: print('got bot:', bot)
Asynchronous methods also support:
import asyncio import os from cozepy import AsyncTokenAuth, AsyncCoze coze = AsyncCoze(auth=AsyncTokenAuth(os.getenv("COZE_API_TOKEN"))) async def main(): # open your workspace, browser url will be https://www.coze.com/space/<this is workspace id>/develop # copy <this is workspace id> as workspace id bots_page = await coze.bots.list(space_id='workspace id', page_size=10) async for page in bots_page.iter_pages(): print('got page:', page.page_num) for bot in page.items: print('got bot:', bot) asyncio.run(main())
Fine-tune SDK logging to match your debugging needs
import logging from cozepy import setup_logging # Enable debug logging (default: warning) setup_logging(level=logging.DEBUG)
Customize HTTP timeouts using the underlying httpx client for optimal performance in your environment.
import os import httpx from cozepy import COZE_COM_BASE_URL, Coze, TokenAuth, SyncHTTPClient # Coze client is built on httpx, and supports passing a custom httpx.Client when initializing # Coze, and setting a timeout on the httpx.Client http_client = SyncHTTPClient(timeout=httpx.Timeout( # 600s timeout on elsewhere timeout=600.0, # 5s timeout on connect connect=5.0 )) # Init the Coze client through the access_token and custom timeout http client. coze = Coze(auth=TokenAuth(token=os.getenv("COZE_API_TOKEN")), base_url=COZE_COM_BASE_URL, http_client=http_client )