(scripts) ➜ scripts cd /Users/jianwei/Code2025/scripts ; /usr/bin/env /usr/local/Caskroom/miniconda/base/envs/scripts/bin/python /Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher 50883 -- /Users/jianwei/Code20
25/scripts/coze_test.py
2025-07-30 15:43:54,550 cozeloop.internal.httpclient.http_client http_client.py:41 [ERROR] [cozeloop] Failed to parse response. Path: http://123.57.219.52:8082/v1/loop/prompts/mget, http code: 405, log id: None, error: Expecting value: line 1 column 1 (char 0).
2025-07-30 15:43:55,546 cozeloop.internal.httpclient.http_client http_client.py:41 [ERROR] [cozeloop] Failed to parse response. Path: http://123.57.219.52:8082/v1/loop/traces/ingest, http code: 405, log id: None, error: Expecting value: line 1 column 1 (char 0).
2025-07-30 15:43:55,546 cozeloop.internal.trace.exporter exporter.py:83 [ERROR] [cozeloop] export spans fail, err:[remote service error, [http_code=405 error_code=-1 logid=None]]
2025-07-30 15:43:56,544 cozeloop.internal.httpclient.http_client http_client.py:41 [ERROR] [cozeloop] Failed to parse response. Path: http://123.57.219.52:8082/v1/loop/traces/ingest, http code: 405, log id: None, error: Expecting value: line 1 column 1 (char 0).
2025-07-30 15:43:56,544 cozeloop.internal.trace.exporter exporter.py:83 [ERROR] [cozeloop] export spans fail, err:[remote service error, [http_code=405 error_code=-1 logid=None]]
Traceback (most recent call last):
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/httpclient/http_client.py", line 36, in parse_response
data = response.json()
^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/httpx/_models.py", line 832, in json
return jsonlib.loads(self.content, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/runpy.py", line 198, in _run_module_as_main
return _run_code(code, main_globals, None,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/runpy.py", line 88, in _run_code
exec(code, run_globals)
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/__main__.py", line 71, in <module>
cli.main()
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 501, in main
run()
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 351, in run_file
runpy.run_path(target, run_name="__main__")
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 310, in run_path
return _run_module_code(code, init_globals, run_name, pkg_name=pkg_name, script_name=fname)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 127, in _run_module_code
_run_code(code, mod_globals, init_globals, mod_name, mod_spec, pkg_name, script_name)
File "/Users/jianwei/.vscode/extensions/ms-python.debugpy-2025.10.0-darwin-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 118, in _run_code
exec(code, run_globals)
File "/Users/jianwei/Code2025/scripts/coze_test.py", line 109, in <module>
prompt = client.get_prompt(prompt_key="inter_cotradiction", version="0.0.1")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/_client.py", line 212, in get_prompt
return self._prompt_provider.get_prompt(prompt_key, version)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/prompt/prompt.py", line 62, in get_prompt
raise e
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/prompt/prompt.py", line 52, in get_prompt
prompt = self._get_prompt(prompt_key, version)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/prompt/prompt.py", line 77, in _get_prompt
result = self.openapi_client.mpull_prompt(self.workspace_id, [PromptQuery(prompt_key=prompt_key, version=version)])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/prompt/openapi.py", line 126, in mpull_prompt
batch_results = self._do_mpull_prompt(workspace_id, sorted_queries)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/prompt/openapi.py", line 144, in _do_mpull_prompt
response = self.http_client.post(MPULL_PROMPT_PATH, MPullPromptResponse, request)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/httpclient/client.py", line 108, in post
return self.request(path, "POST", response_model, json=json,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/httpclient/client.py", line 91, in request
return parse_response(url, response, response_model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/Caskroom/miniconda/base/envs/scripts/lib/python3.11/site-packages/cozeloop/internal/httpclient/http_client.py", line 42, in parse_response
raise consts.RemoteServiceError(http_code, -1, "", log_id) from e
cozeloop.internal.consts.error.RemoteServiceError: remote service error, [http_code=405 error_code=-1 logid=None]
并且，我的代码里的 COZELOOP_API_TOKEN 是从用户-账户设置-授权里生成的。而不是在左侧菜单栏选择 SDK&API > 授权。（因为我的左侧菜单栏没有SDK&API这一项），所以我不确定对不对
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
# SPDX-License-Identifier: MIT
import json
import time
from typing import List
import os
import cozeloop
from cozeloop import Message
from cozeloop.entities.prompt import Role
from cozeloop.spec.tracespec import CALL_OPTIONS, ModelCallOption, ModelMessage, ModelInput
def convert_model_input(messages: List[Message]) -> ModelInput:
model_messages = []
for message in messages:
model_messages.append(ModelMessage(
role=str(message.role),
content=message.content if message.content is not None else ""
))
return ModelInput(
messages=model_messages
)
class LLMRunner:
def __init__(self, client):
self.client = client
def llm_call(self, input_data):
"""
Simulate an LLM call and set relevant span tags.
"""
span = self.client.start_span("llmCall", "model")
try:
# Assuming llm is processing
# output = ChatOpenAI().invoke(input=input_data)
# mock resp
time.sleep(1)
output = "I'm a robot. I don't have a specific name. You can give me one."
input_token = 232
output_token = 1211
# set tag key: `input`
span.set_input(convert_model_input(input_data))
# set tag key: `output`
span.set_output(output)
# set tag key: `model_provider`, e.g., openai, etc.
span.set_model_provider("openai")
# set tag key: `start_time_first_resp`
# Timestamp of the first packet return from LLM, unit: microseconds.
# When `start_time_first_resp` is set, a tag named `latency_first_resp` calculated
# based on the span's StartTime will be added, meaning the latency for the first packet.
span.set_start_time_first_resp(int(time.time() * 1000000))
# set tag key: `input_tokens`. The amount of input tokens.
# when the `input_tokens` value is set, it will automatically sum with the `output_tokens` to calculate the `tokens` tag.
span.set_input_tokens(input_token)
# set tag key: `output_tokens`. The amount of output tokens.
# when the `output_tokens` value is set, it will automatically sum with the `input_tokens` to calculate the `tokens` tag.
span.set_output_tokens(output_token)
# set tag key: `model_name`, e.g., gpt-4-1106-preview, etc.
span.set_model_name("gpt-4-1106-preview")
span.set_tags({CALL_OPTIONS: ModelCallOption(
temperature=0.5,
top_p=0.5,
top_k=10,
presence_penalty=0.5,
frequency_penalty=0.5,
max_tokens=1024,
)})
return None
except Exception as e:
raise e
finally:
span.finish()
if __name__ == '__main__':
# 1.Create a prompt on the platform
# You can create a Prompt on the platform's Prompt development page (set Prompt Key to 'prompt_hub_demo'),
# add the following messages to the template, and submit a version.
# System: You are a helpful bot, the conversation topic is {{var1}}.
# Placeholder: placeholder1
# User: My question is {{var2}}
# Placeholder: placeholder2
# Set the following environment variables first.
# COZELOOP_WORKSPACE_ID=your workspace id
# COZELOOP_API_TOKEN=your token
# 2.New loop client
os.environ["COZELOOP_WORKSPACE_ID"] = "myworkspaceid"
os.environ["COZELOOP_API_TOKEN"] = "mytoken"
os.environ["COZELOOP_API_BASE_URL"] = "myipaddress"
client = cozeloop.new_client(
# Set whether to report a trace span when get or format prompt.
# Default value is false.
prompt_trace=True)
# 3. new root span
rootSpan = client.start_span("root_span", "main_span")
# 4. Get the prompt
# If no specific version is specified, the latest version of the corresponding prompt will be obtained
prompt = client.get_prompt(prompt_key="inter_cotradiction", version="0.0.1")
print('prompt', prompt)
if prompt is not None:
# Get messages of the prompt
if prompt.prompt_template is not None:
messages = prompt.prompt_template.messages
print(
f"prompt messages: {json.dumps([message.model_dump(exclude_none=True) for message in messages], ensure_ascii=False)}")
# Get llm config of the prompt
if prompt.llm_config is not None:
llm_config = prompt.llm_config
print(f"prompt llm_config: {llm_config.model_dump_json(exclude_none=True)}")
# 5.Format messages of the prompt
formatted_messages = client.prompt_format(prompt, {
# Normal variable type should be string
"user_input": "this is user input!!!!!",
# Placeholder variable type should be Message/List[Message]
"placeholder1": [Message(role=Role.USER, content="Hello!"),
Message(role=Role.ASSISTANT, content="Hello!")]
# Other variables in the prompt template that are not provided with corresponding values will be
# considered as empty values.
})
print(
f"formatted_messages: {json.dumps([message.model_dump(exclude_none=True) for message in formatted_messages], ensure_ascii=False)}")
# 6.LLM call
llm_runner = LLMRunner(client)
# llm_runner.llm_call(formatted_messages)
rootSpan.finish()
# 4. (optional) flush or close
# -- force flush, report all traces in the queue
# Warning! In general, this method is not needed to be call, as spans will be automatically reported in batches.
# Note that flush will block and wait for the report to complete, and it may cause frequent reporting,
# affecting performance.
client.flush()
我在我的一台服务器上配置了cozeloop，然后尝试运行sdk的demo，报错如下：
我注意到我的coze罗盘的左侧菜单栏只有很少几个项目，而我在 https://loop.coze.cn 的边栏有很多项目，我自己的少了很多项目比如“SDK&API”, 我不确定是不是这个原因：
并且，我的代码里的 COZELOOP_API_TOKEN 是从用户-账户设置-授权里生成的。而不是在左侧菜单栏选择 SDK&API > 授权。（因为我的左侧菜单栏没有SDK&API这一项），所以我不确定对不对
最后附上我的代码：
请帮我看一下，感谢。 orz