update openai model version #1217

geekan · 2024-04-22T11:19:12Z

User description

update openai model version. some of them are config files. need to check the CI/CD scripts

Type

enhancement

Description

Updated model versions across various Python scripts and configuration files to gpt-4-turbo and similar.
Adjusted token pricing details and model configurations in utility scripts.
Updated model version references in documentation and example configurations.

Changes walkthrough

Relevant files

Enhancement

8 files

debate_simple.py `Update Model Versions in Debate Simulation` examples/debate_simple.py Updated model versions for configurations in a debate simulation script.	+2/-2
software_company.py `Update Default Model Configuration` metagpt/software_company.py Updated default model configuration in a software company simulation.	+1/-1
token_counter.py `Adjust Token Pricing and Model Configurations` metagpt/utils/token_counter.py Adjusted token pricing and model configurations.	+4/-4
test_context_mixin.py `Update Model Configurations in Context Mixins` tests/metagpt/test_context_mixin.py Updated model configurations in testing context mixins.	+4/-4
test_ut_writer.py `Update Model Version in Utility Writer Test` tests/metagpt/tools/test_ut_writer.py Updated model version in unit test for utility writer.	+1/-1
test_cost_manager.py `Update Model Version in Cost Manager Tests` tests/metagpt/utils/test_cost_manager.py Updated model version in cost manager tests.	+2/-2
config2.example.yaml `Simplify Model Configuration in Example Config` config/config2.example.yaml Simplified model configuration in example config file.	+3/-8
config2.yaml `Update Model Version in Test Configuration` tests/config2.yaml Updated model version in test configuration.	+1/-1

Documentation

2 files

README.md `Update Model Version in README` README.md Updated model version in README configuration example.	+1/-1
FAQ-EN.md `Update Model References in FAQ Document` docs/FAQ-EN.md Updated model references in FAQ document.	+2/-2

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codiumai-pr-agent-pro · 2024-04-22T11:19:50Z

PR Description updated to latest commit (dfbdeab)

Copy walkthrough table to "Files Changed" Tab

codiumai-pr-agent-pro · 2024-04-22T11:19:59Z

PR Review

⏱️ Estimated effort to review [1-5]	2, because the changes are straightforward model version updates across multiple files, which are easy to verify but require careful attention to ensure consistency and correctness across all references.
🧪 Relevant tests	Yes
🔍 Possible issues	Possible Redundancy: In `metagpt/software_company.py`, the comment line still mentions two identical model names ("gpt-4-turbo"), which might be a leftover from previous versions and could be cleaned up for clarity.
🔒 Security concerns	No

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codiumai-pr-agent-pro · 2024-04-22T11:20:38Z

PR Code Suggestions

Category	Suggestions
Enhancement	Correct or remove the redundant comment in the model configuration. The model configuration line contains a redundant comment which might be confusing. It's better to remove or correct the comment to reflect the actual options available. metagpt/software_company.py [128] -model: "gpt-4-turbo" # or gpt-4-turbo / gpt-4-turbo +model: "gpt-4-turbo" # specify the model version
Bug	Remove duplicate dictionary keys to prevent potential bugs. The dictionary key 'gpt-4-turbo' is duplicated in the token pricing dictionary, which could lead to potential bugs or unexpected behavior. Remove the duplicate entry. metagpt/utils/token_counter.py [37] -"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, +"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, # Ensure no duplicate keys
Maintainability	Document the reason for re-adding previously removed dictionary keys. The dictionary key 'gpt-4-0125-preview' is added back, but it was previously removed. If this was intentional, ensure it's documented or communicated to avoid confusion. metagpt/utils/token_counter.py [36] -"gpt-4-0125-preview": {"prompt": 0.01, "completion": 0.03}, +"gpt-4-0125-preview": {"prompt": 0.01, "completion": 0.03}, # Re-added for specific reasons (document or comment why)
Possible issue	Clarify why different models have identical token pricing. The token pricing for 'gpt-4-turbo' is set identically to 'gpt-4-turbo-preview'. If this is not an error, consider adding a comment to clarify why both models have the same pricing. metagpt/utils/token_counter.py [37] -"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, +"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, # Pricing identical to gpt-4-turbo-preview, confirm if correct
Best practice	Ensure consistent update of token pricing values across the codebase. The token pricing values for 'gpt-4-turbo' and 'gpt-4-0125-preview' are added without removing the old values, leading to potential redundancy or confusion. Ensure that the values are updated correctly across all relevant sections. metagpt/utils/token_counter.py [37] -"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, +"gpt-4-turbo": {"prompt": 0.01, "completion": 0.03}, # Updated to reflect new pricing model

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codiumai-pr-agent-pro · 2024-04-22T11:37:46Z

CI Failure Feedback

(Checks updated until commit `9a7c195`)

Action: build (3.9)
Failed stage: Show failed tests and overall summary [❌]
Failure summary: The action failed due to multiple issues: A `ValueError` was raised because API calls were not allowed in the current test setting, indicating that tests were not properly mocked or expected API responses were not added to `tests/data/rsp_cache.json`. Several tests related to API interactions failed due to `AuthenticationError`, indicating incorrect or missing API keys. `TypeError` occurred because static methods were incorrectly called as if they were callable, suggesting a misunderstanding or misuse of static methods in the test cases. `AssertionError` and `ValidationError` were raised in various tests, indicating issues with assertions in the test logic or validation errors in data models. A `subprocess.CalledProcessError` was triggered by a non-zero exit status from a subprocess command, indicating an external command failure. `AttributeError` was noted where an object was expected to have a specific attribute that was not present, pointing to incorrect assumptions about the object's structure.
Relevant error logs: 1: ##[group]Operating System 2: Ubuntu ... 2675: collected 647 items 2676: tests/metagpt/actions/di/test_ask_review.py . [ 0%] 2677: tests/metagpt/actions/di/test_execute_nb_code.py .......... [ 1%] 2678: tests/metagpt/actions/di/test_write_analysis_code.py ..F [ 2%] 2679: tests/metagpt/actions/di/test_write_plan.py .. [ 2%] 2680: tests/metagpt/actions/test_action.py ..... [ 3%] 2681: tests/metagpt/actions/test_action_node.py ............. [ 5%] 2682: tests/metagpt/actions/test_action_outcls_registry.py . [ 5%] 2683: tests/metagpt/actions/test_debug_error.py . [ 5%] ... 2878: tests/metagpt/utils/test_s3.py . [ 93%] 2879: tests/metagpt/utils/test_save_code.py ... [ 93%] 2880: tests/metagpt/utils/test_serialize.py .. [ 93%] 2881: tests/metagpt/utils/test_session.py . [ 94%] 2882: tests/metagpt/utils/test_text.py ..................... [ 97%] 2883: tests/metagpt/utils/test_token_counter.py ........ [ 98%] 2884: tests/metagpt/utils/test_tree.py ...F.... [ 99%] 2885: tests/metagpt/utils/test_visual_graph_repo.py . [100%] 2886: =================================== FAILURES =================================== ... 2896: ### execution result 2897: ## Current Task 2898: import pandas and load the dataset from 'test.csv'. 2899: ## Task Guidance 2900: Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc. 2901: Specifically, 2902: """ 2903: wrong_code = """import pandas as pd\ndata = pd.read_excel('test.csv')\ndata""" # use read_excel to read a csv 2904: error = """ 2905: Traceback (most recent call last): 2906: File "<stdin>", line 2, in <module> 2907: File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel 2908: io = ExcelFile(io, storage_options=storage_options, engine=engine) 2909: File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__ 2910: raise ValueError( 2911: ValueError: Excel file format cannot be determined, you must specify an engine manually. 2912: """ 2913: working_memory = [ 2914: Message(content=wrong_code, role="assistant"), 2915: Message(content=error, role="user"), ... 2927: metagpt/actions/di/write_analysis_code.py:32: in _debug_with_reflection 2928: rsp = await self._aask(reflection_prompt, system_msgs=[REFLECTION_SYSTEM_MSG]) 2929: metagpt/actions/action.py:93: in _aask 2930: return await self.llm.aask(prompt, system_msgs) 2931: tests/mock/mock_llm.py:98: in aask 2932: rsp = await self._mock_rsp(msg_key, self.original_aask, msg, system_msgs, format_msgs, images, timeout, stream) 2933: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 2934: self = <tests.mock.mock_llm.MockLLM object at 0x7fa5345e90a0> 2935: msg_key = 'You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results,...str = "Reflection on previous implementation",\n "improved_impl": str = "Refined code after reflection.",\n}\n```\n' 2936: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa5345e90a0>> 2937: args = ('\n[example]\nHere is an example of debugging with reflection.\n\n[previous impl]:\nassistant:\n```python\ndef add(a:...results, and a hint to change the implementation appropriately. Write your full implementation.'], None, None, 3, True) 2938: kwargs = {} 2939: async def _mock_rsp(self, msg_key, ask_func, args, kwargs): 2940: if msg_key not in self.rsp_cache: 2941: if not self.allow_open_api_call: 2942: > raise ValueError( 2943: "In current test setting, api call is not allowed, you should properly mock your tests, " 2944: "or add expected api response in tests/data/rsp_cache.json. " 2945: f"The prompt you want for api call: {msg_key}" 2946: ) 2947: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation.#SYSTEM_MSG_END# ... 2954: E def add(a: int, b: int) -> int: 2955: E """ 2956: E Given integers a and b, return the total value of a and b. 2957: E """ 2958: E return a - b 2959: E ``` 2960: E 2961: E user: 2962: E Tests failed: 2963: E assert add(1, 2) == 3 # output: -1 2964: E assert add(1, 3) == 4 # output: -2 2965: E 2966: E [reflection on previous impl]: 2967: E The implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input. ... 2971: E """ 2972: E Given integers a and b, return the total value of a and b. 2973: E """ 2974: E return a + b 2975: E 2976: E [/example] 2977: E 2978: E [context] 2979: E [{'role': 'user', 'content': "\n# User Requirement\nread a dataset test.csv and print its head\n\n# Plan Status\n\n ## Finished Tasks\n ### code\n ```python\n ```\n\n ### execution result\n\n ## Current Task\n import pandas and load the dataset from 'test.csv'.\n\n ## Task Guidance\n Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\n Specifically, \n \n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n"}, {'role': 'assistant', 'content': "import pandas as pd\ndata = pd.read_excel('test.csv')\ndata"}, {'role': 'user', 'content': '\n Traceback (most recent call last):\n File "<stdin>", line 2, in <module>\n File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel\n io = ExcelFile(io, storage_options=storage_options, engine=engine)\n File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__\n raise ValueError(\n ValueError: Excel file format cannot be determined, you must specify an engine manually.\n '}] ... 2982: E [assistant: import pandas as pd 2983: E data = pd.read_excel('test.csv') 2984: E data, user: 2985: E Traceback (most recent call last): 2986: E File "<stdin>", line 2, in <module> 2987: E File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel 2988: E io = ExcelFile(io, storage_options=storage_options, engine=engine) 2989: E File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__ 2990: E raise ValueError( 2991: E ValueError: Excel file format cannot be determined, you must specify an engine manually. 2992: E ] 2993: E 2994: E [instruction] 2995: E Analyze your previous code and error in [context] step by step, provide me with improved method and code. Remember to follow [context] requirement. Don't forget to write code for steps behind the error step. 2996: E Output a json following the format: 2997: E ```json 2998: E { 2999: E "reflection": str = "Reflection on previous implementation", 3000: E "improved_impl": str = "Refined code after reflection.", 3001: E } 3002: E ``` 3003: tests/mock/mock_llm.py:114: ValueError 3004: _____________________________ test_write_code_deps _____________________________ 3005: self = <AsyncRetrying object at 0x7fa5686e01f0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa5686e04f0>, wait=<tenac...0x7fa57a9918e0>, before=<function before_nothing at 0x7fa57a9941f0>, after=<function after_nothing at 0x7fa57a994550>)> 3006: fn = <function WriteCode.write_code at 0x7fa568617dc0> 3007: args = (WriteCode, "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular...ing a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n") 3008: kwargs = {} 3009: retry_state = <RetryCallState 140346794727504: attempt #6; slept for 19.7; last result: failed (ValueError In current test setting, ... using a external variable/module, make sure you import it first. ... 3032: self = <tests.mock.mock_llm.MockLLM object at 0x7fa535dc6700> 3033: msg_key = "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to re...sing a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n" 3034: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa535dc6700>> 3035: args = ("\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to r...ule, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n", None, None, None, 3, True) 3036: kwargs = {} 3037: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 3038: if msg_key not in self.rsp_cache: 3039: if not self.allow_open_api_call: 3040: > raise ValueError( 3041: "In current test setting, api call is not allowed, you should properly mock your tests, " 3042: "or add expected api response in tests/data/rsp_cache.json. " 3043: f"The prompt you want for api call: {msg_key}" 3044: ) 3045: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3061: E ```if __name__ == "__main__": 3062: E main()``` 3063: E ``` 3064: E 3065: E ## Debug logs 3066: E ```text 3067: E E.......F 3068: E ====================================================================== 3069: E ERROR: test_add_new_tile (__main__.TestGame) 3070: E ---------------------------------------------------------------------- 3071: E Traceback (most recent call last): 3072: E File "/Users/xx/tests/test_game.py", line 104, in test_add_new_tile 3073: E self.assertIn(self.game.grid[empty_cells[0][0]][empty_cells[0][1]], [2, 4]) 3074: E IndexError: list index out of range 3075: E 3076: E ====================================================================== 3077: E FAIL: test_reset_game (__main__.TestGame) 3078: E ---------------------------------------------------------------------- 3079: E Traceback (most recent call last): 3080: E File "/Users/xx/tests/test_game.py", line 13, in test_reset_game 3081: E self.assertEqual(self.game.grid, [[0 for _ in range(4)] for _ in range(4)]) 3082: E AssertionError: Lists differ: [[0, 0, 0, 0], [0, 2, 0, 0], [0, 0, 0, 2], [0, 0, 0, 0]] != [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] ... 3090: E 3091: E + [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] 3092: E ? +++ ^ 3093: E 3094: E 3095: E ---------------------------------------------------------------------- 3096: E Ran 9 tests in 0.002s 3097: E 3098: E FAILED (failures=1, errors=1) ... 3118: E ## Code: game.py. Write code with triple quoto, based on the following attentions and context. 3119: E 1. Only One file: do your best to implement THIS ONLY ONE FILE. 3120: E 2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets. 3121: E 3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import. 3122: E 4. Follow design: YOU MUST FOLLOW "Data structures and interfaces". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design. 3123: E 5. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE. 3124: E 6. Before using a external variable/module, make sure you import it first. 3125: E 7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO. 3126: tests/mock/mock_llm.py:114: ValueError ... 3162: metagpt/actions/write_code.py:142: in run 3163: code = await self.write_code(prompt) 3164: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:88: in async_wrapped 3165: return await fn(args, *kwargs) 3166: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:47: in __call__ 3167: do = self.iter(retry_state=retry_state) 3168: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 3169: self = <AsyncRetrying object at 0x7fa5686e01f0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa5686e04f0>, wait=<tenac...0x7fa57a9918e0>, before=<function before_nothing at 0x7fa57a9941f0>, after=<function after_nothing at 0x7fa57a994550>)> 3170: retry_state = <RetryCallState 140346794727504: attempt #6; slept for 19.7; last result: failed (ValueError In current test setting, ... using a external variable/module, make sure you import it first. 3171: 7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO. 3172: )> 3173: def iter(self, retry_state: "RetryCallState") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa 3174: fut = retry_state.outcome 3175: if fut is None: 3176: if self.before is not None: 3177: self.before(retry_state) 3178: return DoAttempt() 3179: is_explicit_retry = fut.failed and isinstance(fut.exception(), TryAgain) 3180: if not (is_explicit_retry or self.retry(retry_state)): 3181: return fut.result() 3182: if self.after is not None: 3183: self.after(retry_state) 3184: self.statistics["delay_since_first_attempt"] = retry_state.seconds_since_start 3185: if self.stop(retry_state): 3186: if self.retry_error_callback: 3187: return self.retry_error_callback(retry_state) 3188: retry_exc = self.retry_error_cls(fut) 3189: if self.reraise: 3190: raise retry_exc.reraise() 3191: > raise retry_exc from fut.exception() 3192: E tenacity.RetryError: RetryError[<Future at 0x7fa510874310 state=finished raised ValueError>] 3193: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/__init__.py:326: RetryError ... 3220: task_doc = Document(filename="1.json", content=json.dumps(REFINED_TASK_JSON)) 3221: context.repo = context.repo.with_src_path(context.src_workspace) 3222: # Ready to write gui.py 3223: codes = await WriteCode.get_codes(task_doc=task_doc, exclude="gui.py", project_repo=context.repo) 3224: codes_inc = await WriteCode.get_codes(task_doc=task_doc, exclude="gui.py", project_repo=context.repo, use_inc=True) 3225: logger.info(codes) 3226: logger.info(codes_inc) 3227: > assert codes 3228: E AssertionError: assert '' 3229: tests/metagpt/actions/test_write_code.py:158: AssertionError ... 3245: ----- ui.py 3246: ```# ui.py 3247: new code ...``` 3248: ______________________________ test_write_prd_inc ______________________________ 3249: self = <AsyncRetrying object at 0x7fa568ae9100 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa568ae9b80>, wait=<tenac...ore=<function before_nothing at 0x7fa57a9941f0>, after=<function general_after_log.<locals>.log_it at 0x7fa568ac4a60>)> 3250: fn = <function ActionNode._aask_v1 at 0x7fa568ac4b80> 3251: args = (RefinedPRD, <class 'str'>, , , , {'Language': Language, <class 'str'>, Provide the language used in the project, typi...', description="Provide the language used in the project, typically matching the user's requirement language.")), ...}) 3252: kwargs = {'images': None, 'schema': 'json', 'timeout': 0} 3253: retry_state = <RetryCallState 140346920562496: attempt #6; slept for 20.47; last result: failed (ValueError In current test setting,... nothing else. ... 3275: self = <tests.mock.mock_llm.MockLLM object at 0x7fa510b35b80> 3276: msg_key = '\n## context\n\n### Legacy Content\n\n## Language\n\nen_us\n\n## Programming Language\n\nPython\n\n## Original Requir...thing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n' 3277: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa510b35b80>> 3278: args = ('\n## context\n\n### Legacy Content\n\n## Language\n\nen_us\n\n## Programming Language\n\nPython\n\n## Original Requi...llow instructions of nodes, generate output and make sure it follows the format example.\n', None, None, None, 0, True) 3279: kwargs = {} 3280: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 3281: if msg_key not in self.rsp_cache: 3282: if not self.allow_open_api_call: 3283: > raise ValueError( 3284: "In current test setting, api call is not allowed, you should properly mock your tests, " 3285: "or add expected api response in tests/data/rsp_cache.json. " 3286: f"The prompt you want for api call: {msg_key}" 3287: ) 3288: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3430: E 3431: E 3432: E ## constraint 3433: E Language: Please use the same language as Human INPUT. 3434: E Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 3435: E 3436: E ## action 3437: E Follow instructions of nodes, generate output and make sure it follows the format example. 3438: tests/mock/mock_llm.py:114: ValueError ... 3462: metagpt/actions/action_node.py:456: in simple_fill 3463: content, scontent = await self._aask_v1( 3464: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:88: in async_wrapped 3465: return await fn(args, *kwargs) 3466: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:47: in __call__ 3467: do = self.iter(retry_state=retry_state) 3468: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 3469: self = <AsyncRetrying object at 0x7fa568ae9100 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa568ae9b80>, wait=<tenac...ore=<function before_nothing at 0x7fa57a9941f0>, after=<function general_after_log.<locals>.log_it at 0x7fa568ac4a60>)> 3470: retry_state = <RetryCallState 140346920562496: attempt #6; slept for 20.47; last result: failed (ValueError In current test setting,... nothing else. ... 3472: Follow instructions of nodes, generate output and make sure it follows the format example. 3473: )> 3474: def iter(self, retry_state: "RetryCallState") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa 3475: fut = retry_state.outcome 3476: if fut is None: 3477: if self.before is not None: 3478: self.before(retry_state) 3479: return DoAttempt() 3480: is_explicit_retry = fut.failed and isinstance(fut.exception(), TryAgain) 3481: if not (is_explicit_retry or self.retry(retry_state)): 3482: return fut.result() 3483: if self.after is not None: 3484: self.after(retry_state) 3485: self.statistics["delay_since_first_attempt"] = retry_state.seconds_since_start 3486: if self.stop(retry_state): 3487: if self.retry_error_callback: 3488: return self.retry_error_callback(retry_state) 3489: retry_exc = self.retry_error_cls(fut) 3490: if self.reraise: 3491: raise retry_exc.reraise() 3492: > raise retry_exc from fut.exception() 3493: E tenacity.RetryError: RetryError[<Future at 0x7fa510586550 state=finished raised ValueError>] 3494: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/__init__.py:326: RetryError 3495: ----------------------------- Captured stderr call ----------------------------- 3496: 2024-04-22 11:33:57.901 \| INFO \| metagpt.utils.file_repository:save:57 - save to: /home/runner/work/MetaGPT/MetaGPT/workspace/unittest/5b2aa24f498c4df880c66aad21604381/docs/prd/1.txt 3497: 2024-04-22 11:33:57.902 \| INFO \| metagpt.utils.file_repository:save:57 - save to: /home/runner/work/MetaGPT/MetaGPT/workspace/unittest/5b2aa24f498c4df880c66aad21604381/docs/requirement.txt 3498: 2024-04-22 11:33:57.938 \| WARNING \| tests.mock.mock_llm:_mock_rsp:122 - Use response cache 3499: 2024-04-22 11:33:57.942 \| INFO \| metagpt.actions.write_prd:run:83 - Requirement update detected: 3500: Adding graphical interface functionality to enhance the user experience in the number-guessing game. The existing number-guessing game currently relies on command-line input for numbers. The goal is to introduce a graphical interface to improve the game's usability and visual appeal 3501: 2024-04-22 11:33:57.943 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 0.000(s), this was the 1st time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3611: - Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development 3612: - UI Design draft: <class 'str'> # Provide a simple description of UI elements, functions, style, and layout. 3613: - Anything UNCLEAR: <class 'str'> # Mention any aspects of the project that are unclear and try to clarify them. 3614: ## constraint 3615: Language: Please use the same language as Human INPUT. 3616: Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 3617: ## action 3618: Follow instructions of nodes, generate output and make sure it follows the format example. 3619: 2024-04-22 11:33:58.919 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 0.976(s), this was the 2nd time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3729: - Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development 3730: - UI Design draft: <class 'str'> # Provide a simple description of UI elements, functions, style, and layout. 3731: - Anything UNCLEAR: <class 'str'> # Mention any aspects of the project that are unclear and try to clarify them. 3732: ## constraint 3733: Language: Please use the same language as Human INPUT. 3734: Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 3735: ## action 3736: Follow instructions of nodes, generate output and make sure it follows the format example. 3737: 2024-04-22 11:33:59.679 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 1.735(s), this was the 3rd time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3847: - Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development 3848: - UI Design draft: <class 'str'> # Provide a simple description of UI elements, functions, style, and layout. 3849: - Anything UNCLEAR: <class 'str'> # Mention any aspects of the project that are unclear and try to clarify them. 3850: ## constraint 3851: Language: Please use the same language as Human INPUT. 3852: Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 3853: ## action 3854: Follow instructions of nodes, generate output and make sure it follows the format example. 3855: 2024-04-22 11:34:01.891 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 3.947(s), this was the 4th time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 3965: - Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development 3966: - UI Design draft: <class 'str'> # Provide a simple description of UI elements, functions, style, and layout. 3967: - Anything UNCLEAR: <class 'str'> # Mention any aspects of the project that are unclear and try to clarify them. 3968: ## constraint 3969: Language: Please use the same language as Human INPUT. 3970: Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 3971: ## action 3972: Follow instructions of nodes, generate output and make sure it follows the format example. 3973: 2024-04-22 11:34:08.532 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 10.589(s), this was the 5th time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 4083: - Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development 4084: - UI Design draft: <class 'str'> # Provide a simple description of UI elements, functions, style, and layout. 4085: - Anything UNCLEAR: <class 'str'> # Mention any aspects of the project that are unclear and try to clarify them. 4086: ## constraint 4087: Language: Please use the same language as Human INPUT. 4088: Format: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else. 4089: ## action 4090: Follow instructions of nodes, generate output and make sure it follows the format example. 4091: 2024-04-22 11:34:18.436 \| ERROR \| metagpt.utils.common:log_it:554 - Finished call to 'metagpt.actions.action_node.ActionNode._aask_v1' after 20.493(s), this was the 6th time calling it. exp: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 4222: curr_instr = ext_env.curr_step_instruction() 4223: assert ext_env.step_idx == 5 4224: assert "Werewolves, please open your eyes" in curr_instr["content"] 4225: # current step_idx = 5 4226: ext_env.wolf_kill_someone(wolf_name="Player10", player_name="Player4") 4227: ext_env.wolf_kill_someone(wolf_name="Player0", player_name="Player4") 4228: ext_env.wolf_kill_someone(wolf_name="Player1", player_name="Player4") 4229: > assert ext_env.player_hunted == "Player4" 4230: E AssertionError: assert None == 'Player4' 4231: E + where None = WerewolfExtEnv(action_space=<gymnasium.spaces.space.Space object at 0x7fa510cc66a0>, observation_space=<gymnasium.spac... player_hunted=None, player_protected=None, is_hunted_player_saved=False, player_poisoned=None, player_current_dead=[]).player_hunted 4232: tests/metagpt/environment/werewolf_env/test_werewolf_ext_env.py:48: AssertionError ... 4259: if not text: 4260: text = "this is blank" 4261: for idx in range(3): 4262: try: 4263: embedding = ( 4264: OpenAI(api_key=config.llm.api_key).embeddings.create(input=[text], model=model).data[0].embedding 4265: ) 4266: except Exception as exp: 4267: logger.info(f"get_embedding failed, exp: {exp}, will retry.") 4268: time.sleep(5) 4269: if not embedding: 4270: > raise ValueError("get_embedding failed") 4271: E ValueError: get_embedding failed 4272: metagpt/ext/stanford_town/utils/utils.py:64: ValueError 4273: ----------------------------- Captured stderr call ----------------------------- 4274: huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... 4275: To disable this warning, you can either: 4276: - Avoid using `tokenizers` before the fork if possible 4277: - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true \| false) 4278: 2024-04-22 11:34:25.201 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4279: 2024-04-22 11:34:30.312 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4280: 2024-04-22 11:34:35.421 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. ... 4301: if not text: 4302: text = "this is blank" 4303: for idx in range(3): 4304: try: 4305: embedding = ( 4306: OpenAI(api_key=config.llm.api_key).embeddings.create(input=[text], model=model).data[0].embedding 4307: ) 4308: except Exception as exp: 4309: logger.info(f"get_embedding failed, exp: {exp}, will retry.") 4310: time.sleep(5) 4311: if not embedding: 4312: > raise ValueError("get_embedding failed") 4313: E ValueError: get_embedding failed 4314: metagpt/ext/stanford_town/utils/utils.py:64: ValueError 4315: ----------------------------- Captured stderr call ----------------------------- 4316: 2024-04-22 11:34:41.295 \| INFO \| metagpt.ext.stanford_town.roles.st_role:load_from:167 - Role: Isabella Rodriguez loaded role's memory from /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/unittest_sim/personas/Isabella Rodriguez 4317: 2024-04-22 11:34:41.328 \| INFO \| metagpt.ext.stanford_town.roles.st_role:load_from:167 - Role: Klaus Mueller loaded role's memory from /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/unittest_sim/personas/Klaus Mueller 4318: 2024-04-22 11:34:41.329 \| INFO \| metagpt.ext.stanford_town.plan.converse:agent_conversation:15 - Role: Isabella Rodriguez starts a conversation with Role: Klaus Mueller 4319: 2024-04-22 11:34:41.329 \| INFO \| metagpt.ext.stanford_town.plan.converse:agent_conversation:18 - Conv round: 0 between Isabella Rodriguez and Klaus Mueller 4320: 2024-04-22 11:34:41.434 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4321: 2024-04-22 11:34:46.541 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4322: 2024-04-22 11:34:51.673 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. ... 4339: if not text: 4340: text = "this is blank" 4341: for idx in range(3): 4342: try: 4343: embedding = ( 4344: OpenAI(api_key=config.llm.api_key).embeddings.create(input=[text], model=model).data[0].embedding 4345: ) 4346: except Exception as exp: 4347: logger.info(f"get_embedding failed, exp: {exp}, will retry.") 4348: time.sleep(5) 4349: if not embedding: 4350: > raise ValueError("get_embedding failed") 4351: E ValueError: get_embedding failed 4352: metagpt/ext/stanford_town/utils/utils.py:64: ValueError 4353: ----------------------------- Captured stderr call ----------------------------- 4354: 2024-04-22 11:34:56.738 \| WARNING \| metagpt.ext.stanford_town.utils.utils:copy_folder:220 - /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/unittest_sim exist, start to remove. 4355: 2024-04-22 11:34:56.899 \| INFO \| metagpt.ext.stanford_town.roles.st_role:load_from:167 - Role: Isabella Rodriguez loaded role's memory from /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/unittest_sim/personas/Isabella Rodriguez 4356: 2024-04-22 11:34:56.931 \| INFO \| metagpt.ext.stanford_town.roles.st_role:load_from:167 - Role: Klaus Mueller loaded role's memory from /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/unittest_sim/personas/Klaus Mueller 4357: 2024-04-22 11:34:57.046 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4358: 2024-04-22 11:35:02.162 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4359: 2024-04-22 11:35:07.285 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. ... 4380: if not text: 4381: text = "this is blank" 4382: for idx in range(3): 4383: try: 4384: embedding = ( 4385: OpenAI(api_key=config.llm.api_key).embeddings.create(input=[text], model=model).data[0].embedding 4386: ) 4387: except Exception as exp: 4388: logger.info(f"get_embedding failed, exp: {exp}, will retry.") 4389: time.sleep(5) 4390: if not embedding: 4391: > raise ValueError("get_embedding failed") 4392: E ValueError: get_embedding failed 4393: metagpt/ext/stanford_town/utils/utils.py:64: ValueError 4394: ----------------------------- Captured stderr call ----------------------------- 4395: 2024-04-22 11:35:12.381 \| INFO \| metagpt.ext.stanford_town.roles.st_role:load_from:167 - Role: Klaus Mueller loaded role's memory from /home/runner/work/MetaGPT/MetaGPT/examples/stanford_town/storage/base_the_ville_isabella_maria_klaus/personas/Klaus Mueller 4396: 2024-04-22 11:35:12.619 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4397: 2024-04-22 11:35:17.738 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. 4398: 2024-04-22 11:35:22.848 \| INFO \| metagpt.ext.stanford_town.utils.utils:get_embedding:61 - get_embedding failed, exp: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}, will retry. ... 4479: return self._retry_request( 4480: options, 4481: cast_to, 4482: retries, 4483: stream=stream, 4484: stream_cls=stream_cls, 4485: response_headers=None, 4486: ) 4487: raise APITimeoutError(request=request) from err ... 4490: return self._retry_request( 4491: options, 4492: cast_to, 4493: retries, 4494: stream=stream, 4495: stream_cls=stream_cls, 4496: response_headers=None, 4497: ) 4498: raise APIConnectionError(request=request) from err 4499: log.debug( 4500: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 4501: ) 4502: try: 4503: response.raise_for_status() 4504: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 4511: err.response.headers, 4512: stream=stream, 4513: stream_cls=stream_cls, 4514: ) 4515: # If the response is streamed then we need to explicitly read the response 4516: # to completion before attempting to access the response text. 4517: if not err.response.is_closed: 4518: err.response.read() 4519: > raise self._make_status_error_from_response(err.response) from None 4520: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 4521: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:930: AuthenticationError 4522: ----------------------------- Captured stderr call ----------------------------- 4523: 2024-04-22 11:35:28.279 \| ERROR \| metagpt.ext.werewolf.actions.experience_operation:validate_collection:36 - delete chroma collection: test failed, exp: Collection test does not exist. 4524: 2024-04-22 11:35:28.324 \| INFO \| metagpt.ext.werewolf.actions.experience_operation:_record_experiences_local:74 - experiences saved to /home/runner/work/MetaGPT/MetaGPT/workspace/werewolf_game/experiences/test/test_01.json 4525: ------------------------------ Captured log call ------------------------------- 4526: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embeddings in 0.11453287137889767 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4527: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embeddings in 1.6386023486221701 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4528: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embeddings in 3.8588830921363506 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4529: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embeddings in 0.8647899972608526 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4530: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embeddings in 0.4108548079594563 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. ... 4603: return self._retry_request( 4604: options, 4605: cast_to, 4606: retries, 4607: stream=stream, 4608: stream_cls=stream_cls, 4609: response_headers=None, 4610: ) 4611: raise APITimeoutError(request=request) from err ... 4614: return self._retry_request( 4615: options, 4616: cast_to, 4617: retries, 4618: stream=stream, 4619: stream_cls=stream_cls, 4620: response_headers=None, 4621: ) 4622: raise APIConnectionError(request=request) from err 4623: log.debug( 4624: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 4625: ) 4626: try: 4627: response.raise_for_status() 4628: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 4635: err.response.headers, 4636: stream=stream, 4637: stream_cls=stream_cls, 4638: ) 4639: # If the response is streamed then we need to explicitly read the response 4640: # to completion before attempting to access the response text. 4641: if not err.response.is_closed: 4642: err.response.read() 4643: > raise self._make_status_error_from_response(err.response) from None 4644: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 4645: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:930: AuthenticationError 4646: ------------------------------ Captured log call ------------------------------- 4647: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.3119572443946952 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4648: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 1.3546945737008176 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4649: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 3.8326913528235838 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4650: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 3.1732355321330186 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4651: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 11.440235280791494 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. ... 4726: return self._retry_request( 4727: options, 4728: cast_to, 4729: retries, 4730: stream=stream, 4731: stream_cls=stream_cls, 4732: response_headers=None, 4733: ) 4734: raise APITimeoutError(request=request) from err ... 4737: return self._retry_request( 4738: options, 4739: cast_to, 4740: retries, 4741: stream=stream, 4742: stream_cls=stream_cls, 4743: response_headers=None, 4744: ) 4745: raise APIConnectionError(request=request) from err 4746: log.debug( 4747: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 4748: ) 4749: try: 4750: response.raise_for_status() 4751: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 4758: err.response.headers, 4759: stream=stream, 4760: stream_cls=stream_cls, 4761: ) 4762: # If the response is streamed then we need to explicitly read the response 4763: # to completion before attempting to access the response text. 4764: if not err.response.is_closed: 4765: err.response.read() 4766: > raise self._make_status_error_from_response(err.response) from None 4767: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 4768: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:930: AuthenticationError 4769: ------------------------------ Captured log call ------------------------------- 4770: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.07599647784305996 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4771: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 1.3812288318659607 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4772: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 2.508969582404178 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4773: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.8152104435678122 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4774: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 12.359694159219584 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. ... 4848: return self._retry_request( 4849: options, 4850: cast_to, 4851: retries, 4852: stream=stream, 4853: stream_cls=stream_cls, 4854: response_headers=None, 4855: ) 4856: raise APITimeoutError(request=request) from err ... 4859: return self._retry_request( 4860: options, 4861: cast_to, 4862: retries, 4863: stream=stream, 4864: stream_cls=stream_cls, 4865: response_headers=None, 4866: ) 4867: raise APIConnectionError(request=request) from err 4868: log.debug( 4869: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 4870: ) 4871: try: 4872: response.raise_for_status() 4873: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 4880: err.response.headers, 4881: stream=stream, 4882: stream_cls=stream_cls, 4883: ) 4884: # If the response is streamed then we need to explicitly read the response 4885: # to completion before attempting to access the response text. 4886: if not err.response.is_closed: 4887: err.response.read() 4888: > raise self._make_status_error_from_response(err.response) from None 4889: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 4890: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:930: AuthenticationError 4891: ----------------------------- Captured stderr call ----------------------------- 4892: 2024-04-22 11:36:15.284 \| INFO \| tests.metagpt.ext.werewolf.actions.test_experience_operation:test_retrieve_villager_experience:146 - test retrieval with query='there are conflicts' 4893: ------------------------------ Captured log call ------------------------------- 4894: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.8502932390887963 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4895: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 1.2008232296336883 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4896: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.48422026026926046 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4897: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 7.8707548121173705 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 4898: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 12.522165541776314 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. ... 4973: return self._retry_request( 4974: options, 4975: cast_to, 4976: retries, 4977: stream=stream, 4978: stream_cls=stream_cls, 4979: response_headers=None, 4980: ) 4981: raise APITimeoutError(request=request) from err ... 4984: return self._retry_request( 4985: options, 4986: cast_to, 4987: retries, 4988: stream=stream, 4989: stream_cls=stream_cls, 4990: response_headers=None, 4991: ) 4992: raise APIConnectionError(request=request) from err 4993: log.debug( 4994: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 4995: ) 4996: try: 4997: response.raise_for_status() 4998: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 5005: err.response.headers, 5006: stream=stream, 5007: stream_cls=stream_cls, 5008: ) 5009: # If the response is streamed then we need to explicitly read the response 5010: # to completion before attempting to access the response text. 5011: if not err.response.is_closed: 5012: err.response.read() 5013: > raise self._make_status_error_from_response(err.response) from None 5014: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 5015: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:930: AuthenticationError 5016: ----------------------------- Captured stderr call ----------------------------- 5017: 2024-04-22 11:36:38.908 \| INFO \| tests.metagpt.ext.werewolf.actions.test_experience_operation:test_retrieve_villager_experience_filtering:157 - test retrieval with excluded_version='01-10' 5018: ------------------------------ Captured log call ------------------------------- 5019: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.347203765308449 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 5020: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 0.8567560264694889 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 5021: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 1.4822835048722247 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 5022: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 4.047686317416623 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. 5023: WARNING llama_index.embeddings.openai.utils:before_sleep.py:65 Retrying llama_index.embeddings.openai.base.get_embedding in 5.459698797780531 seconds as it raised AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}. ... 5042: self = <tests.mock.mock_llm.MockLLM object at 0x7fa510c18e20> 5043: msg_key = 'You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" ...relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1\nmoon\n---\n## Paragraph 2\napple\n' 5044: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa510c18e20>> 5045: args = ('## Paragraph 1\nmoon\n---\n## Paragraph 2\napple\n', ['You are a tool capable of determining whether two paragraphs ...n "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".'], None, None, 3, False) 5046: kwargs = {} 5047: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 5048: if msg_key not in self.rsp_cache: 5049: if not self.allow_open_api_call: 5050: > raise ValueError( 5051: "In current test setting, api call is not allowed, you should properly mock your tests, " 5052: "or add expected api response in tests/data/rsp_cache.json. " 5053: f"The prompt you want for api call: {msg_key}" 5054: ) 5055: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 5056: E moon 5057: E --- 5058: E ## Paragraph 2 5059: E apple 5060: tests/mock/mock_llm.py:114: ValueError ... 5063: goal = 'What is the sum of 110 and 990?' 5064: async def create_plan_async(self, goal: str) -> Plan: 5065: """ 5066: :param goal: The input to the planner based on which the plan is made 5067: :return: a Plan object 5068: """ 5069: if goal is None: 5070: raise PlanningException( 5071: PlanningException.ErrorCodes.InvalidGoal, "Goal cannot be `None`." 5072: ) 5073: self._logger.info(f"Finding the best function for achieving the goal: {goal}") 5074: self._context.variables.update(goal) 5075: generated_plan_raw = await self._planner_function.invoke_async( 5076: context=self._context 5077: ) 5078: generated_plan_raw_str = str(generated_plan_raw) 5079: if not generated_plan_raw or not generated_plan_raw_str: 5080: self._logger.error("No plan has been generated.") 5081: raise PlanningException( 5082: PlanningException.ErrorCodes.CreatePlanError, 5083: "No plan has been generated.", 5084: ) 5085: self._logger.info(f"Plan generated by ActionPlanner:\n{generated_plan_raw_str}") 5086: # Ignore additional text around JSON recursively 5087: json_regex = r"\{(?:[^{}]\|(?R))\}" 5088: generated_plan_str = regex.search(json_regex, generated_plan_raw_str) 5089: if not generated_plan_str: 5090: self._logger.error("No valid plan has been generated.") 5091: raise PlanningException( 5092: PlanningException.ErrorCodes.InvalidPlan, 5093: "No valid plan has been generated.", 5094: inner_exception=ValueError(generated_plan_raw_str), ... 5100: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/semantic_kernel/planning/action_planner/action_planner.py:122: 5101: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 5102: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/json/__init__.py:346: in loads 5103: return _default_decoder.decode(s) 5104: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/json/decoder.py:337: in decode 5105: obj, end = self.raw_decode(s, idx=_w(s, 0).end()) 5106: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 5107: self = <json.decoder.JSONDecoder object at 0x7fa5989b79a0> 5108: s = "{'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}" ... 5111: """Decode a JSON document from ``s`` (a ``str`` beginning with 5112: a JSON document) and return a 2-tuple of the Python 5113: representation and the index in ``s`` where the document ended. 5114: This can be used to decode a JSON document from a string that may 5115: have extraneous data at the end. 5116: """ 5117: try: 5118: > obj, end = self.scan_once(s, idx) 5119: E json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 1 column 2 (char 1) 5120: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/json/decoder.py:353: JSONDecodeError ... 5140: goal = 'What is the sum of 110 and 990?' 5141: async def create_plan_async(self, goal: str) -> Plan: 5142: """ 5143: :param goal: The input to the planner based on which the plan is made 5144: :return: a Plan object 5145: """ 5146: if goal is None: 5147: raise PlanningException( 5148: PlanningException.ErrorCodes.InvalidGoal, "Goal cannot be `None`." 5149: ) 5150: self._logger.info(f"Finding the best function for achieving the goal: {goal}") 5151: self._context.variables.update(goal) 5152: generated_plan_raw = await self._planner_function.invoke_async( 5153: context=self._context 5154: ) 5155: generated_plan_raw_str = str(generated_plan_raw) 5156: if not generated_plan_raw or not generated_plan_raw_str: 5157: self._logger.error("No plan has been generated.") 5158: raise PlanningException( 5159: PlanningException.ErrorCodes.CreatePlanError, 5160: "No plan has been generated.", 5161: ) 5162: self._logger.info(f"Plan generated by ActionPlanner:\n{generated_plan_raw_str}") 5163: # Ignore additional text around JSON recursively 5164: json_regex = r"\{(?:[^{}]\|(?R))\}" 5165: generated_plan_str = regex.search(json_regex, generated_plan_raw_str) 5166: if not generated_plan_str: 5167: self._logger.error("No valid plan has been generated.") 5168: raise PlanningException( 5169: PlanningException.ErrorCodes.InvalidPlan, 5170: "No valid plan has been generated.", 5171: inner_exception=ValueError(generated_plan_raw_str), 5172: ) 5173: generated_plan_str = generated_plan_str.group() 5174: generated_plan_str = generated_plan_str.replace('""', '"') 5175: try: 5176: generated_plan = json.loads(generated_plan_str) 5177: except json.decoder.JSONDecodeError as e: 5178: self._logger.error("Encountered an error while parsing Plan JSON.") 5179: self._logger.error(e) 5180: > raise PlanningException( 5181: PlanningException.ErrorCodes.InvalidPlan, 5182: "Encountered an error while parsing Plan JSON.", 5183: ) 5184: E semantic_kernel.planning.planning_exception.PlanningException: (<ErrorCodes.InvalidPlan: 1>, 'Encountered an error while parsing Plan JSON.', None) ... 5197: # using BasicPlanner 5198: role.put_message(Message(content=task, cause_by=UserRequirement)) 5199: await role._observe() 5200: await role._think() 5201: # assuming sk_agent will think he needs WriterSkill.Brainstorm and WriterSkill.Translate 5202: > assert "WriterSkill.Brainstorm" in role.plan.generated_plan.result 5203: E assert 'WriterSkill.Brainstorm' in '' 5204: E + where '' = SKContext(memory=NullMemory(), variables=ContextVariables(variables={'input': '', 'goal': "\n Tomorrow is Valen...TION_PARAM_NAME_REGEX='^[0-9A-Za-z_]$', FUNCTION_NAME_REGEX='^[0-9A-Za-z_]$', SKILL_NAME_REGEX='^[0-9A-Za-z_]$')}})).result 5205: E + where SKContext(memory=NullMemory(), variables=ContextVariables(variables={'input': '', 'goal': "\n Tomorrow is Valen...TION_PARAM_NAME_REGEX='^[0-9A-Za-z_]$', FUNCTION_NAME_REGEX='^[0-9A-Za-z_]$', SKILL_NAME_REGEX='^[0-9A-Za-z_]$')}})) = Prompt: \nYou are a planner for the Semantic Kernel.\nYour job is to create a properly formatted JSON plan step by step,.../platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}")).generated_plan 5206: E + where Prompt: \nYou are a planner for the Semantic Kernel.\nYour job is to create a properly formatted JSON plan step by step,.../platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}")) = SkAgent(private_context=None, private_config=None, private_llm=<metagpt.provider.openai_api.OpenAILLM object at 0x7fa5...810e580>>, import_skill=<bound method Kernel.import_skill of <semantic_kernel.kernel.Kernel object at 0x7fa4c810e580>>).plan 5207: tests/metagpt/planner/test_basic_planner.py:35: AssertionError 5208: ----------------------------- Captured stderr call ----------------------------- 5209: 2024-04-22 11:36:54.411 \| INFO \| metagpt.roles.sk_agent:_think:72 - Error: (<ErrorCodes.ServiceError: 6>, "<class 'semantic_kernel.connectors.ai.open_ai.services.open_ai_chat_completion.OpenAIChatCompletion'> service failed to complete the prompt", AuthenticationError("Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}")) ... 5254: return await self._retry_request( 5255: options, 5256: cast_to, 5257: retries, 5258: stream=stream, 5259: stream_cls=stream_cls, 5260: response_headers=None, 5261: ) 5262: raise APITimeoutError(request=request) from err ... 5265: return await self._retry_request( 5266: options, 5267: cast_to, 5268: retries, 5269: stream=stream, 5270: stream_cls=stream_cls, 5271: response_headers=None, 5272: ) 5273: raise APIConnectionError(request=request) from err 5274: log.debug( 5275: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 5276: ) 5277: try: 5278: response.raise_for_status() 5279: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 5286: err.response.headers, 5287: stream=stream, 5288: stream_cls=stream_cls, 5289: ) 5290: # If the response is streamed then we need to explicitly read the response 5291: # to completion before attempting to access the response text. 5292: if not err.response.is_closed: 5293: await err.response.aread() 5294: > raise self._make_status_error_from_response(err.response) from None 5295: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 5296: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:1392: AuthenticationError 5297: ------------------------------ Captured log call ------------------------------- 5298: ERROR asyncio:base_events.py:1753 Fatal error on SSL transport 5299: protocol: <asyncio.sslproto.SSLProtocol object at 0x7fa4a8496a30> 5300: transport: <_SelectorSocketTransport closing fd=147> 5301: Traceback (most recent call last): 5302: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/selector_events.py", line 916, in write 5303: n = self._sock.send(data) 5304: OSError: [Errno 9] Bad file descriptor 5305: During handling of the above exception, another exception occurred: 5306: Traceback (most recent call last): 5307: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/sslproto.py", line 690, in _process_write_backlog 5308: self._transport.write(chunk) 5309: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/selector_events.py", line 922, in write 5310: self._fatal_error(exc, 'Fatal write error on socket transport') 5311: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/selector_events.py", line 717, in _fatal_error 5312: self._force_close(exc) 5313: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/selector_events.py", line 729, in _force_close 5314: self._loop.call_soon(self._call_connection_lost, exc) 5315: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/base_events.py", line 751, in call_soon 5316: self._check_closed() 5317: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/asyncio/base_events.py", line 515, in _check_closed 5318: ##[error] raise RuntimeError('Event loop is closed') 5319: RuntimeError: Event loop is closed ... 5361: return await self._retry_request( 5362: options, 5363: cast_to, 5364: retries, 5365: stream=stream, 5366: stream_cls=stream_cls, 5367: response_headers=None, 5368: ) 5369: raise APITimeoutError(request=request) from err ... 5372: return await self._retry_request( 5373: options, 5374: cast_to, 5375: retries, 5376: stream=stream, 5377: stream_cls=stream_cls, 5378: response_headers=None, 5379: ) 5380: raise APIConnectionError(request=request) from err 5381: log.debug( 5382: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 5383: ) 5384: try: 5385: response.raise_for_status() 5386: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 5393: err.response.headers, 5394: stream=stream, 5395: stream_cls=stream_cls, 5396: ) 5397: # If the response is streamed then we need to explicitly read the response 5398: # to completion before attempting to access the response text. 5399: if not err.response.is_closed: 5400: await err.response.aread() 5401: > raise self._make_status_error_from_response(err.response) from None 5402: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 5403: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:1392: AuthenticationError ... 5446: return await self._retry_request( 5447: options, 5448: cast_to, 5449: retries, 5450: stream=stream, 5451: stream_cls=stream_cls, 5452: response_headers=None, 5453: ) 5454: raise APITimeoutError(request=request) from err ... 5457: return await self._retry_request( 5458: options, 5459: cast_to, 5460: retries, 5461: stream=stream, 5462: stream_cls=stream_cls, 5463: response_headers=None, 5464: ) 5465: raise APIConnectionError(request=request) from err 5466: log.debug( 5467: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 5468: ) 5469: try: 5470: response.raise_for_status() 5471: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 5478: err.response.headers, 5479: stream=stream, 5480: stream_cls=stream_cls, 5481: ) 5482: # If the response is streamed then we need to explicitly read the response 5483: # to completion before attempting to access the response text. 5484: if not err.response.is_closed: 5485: await err.response.aread() 5486: > raise self._make_status_error_from_response(err.response) from None 5487: E openai.AuthenticationError: Error code: 401 - {'error': {'code': 'invalid_api_key', 'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'param': None, 'type': 'invalid_request_error'}} 5488: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:1392: AuthenticationError ... 5500: (mock_azure_embedding, EmbeddingType.AZURE), 5501: (mock_gemini_embedding, EmbeddingType.GEMINI), 5502: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5503: ], 5504: ) 5505: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5506: # Mock 5507: > mock = mock_func(mocker) 5508: E TypeError: 'staticmethod' object is not callable 5509: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5521: (mock_azure_embedding, EmbeddingType.AZURE), 5522: (mock_gemini_embedding, EmbeddingType.GEMINI), 5523: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5524: ], 5525: ) 5526: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5527: # Mock 5528: > mock = mock_func(mocker) 5529: E TypeError: 'staticmethod' object is not callable 5530: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5542: (mock_azure_embedding, EmbeddingType.AZURE), 5543: (mock_gemini_embedding, EmbeddingType.GEMINI), 5544: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5545: ], 5546: ) 5547: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5548: # Mock 5549: > mock = mock_func(mocker) 5550: E TypeError: 'staticmethod' object is not callable 5551: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5563: (mock_azure_embedding, EmbeddingType.AZURE), 5564: (mock_gemini_embedding, EmbeddingType.GEMINI), 5565: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5566: ], 5567: ) 5568: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5569: # Mock 5570: > mock = mock_func(mocker) 5571: E TypeError: 'staticmethod' object is not callable 5572: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5584: (mock_azure_embedding, EmbeddingType.AZURE), 5585: (mock_gemini_embedding, EmbeddingType.GEMINI), 5586: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5587: ], 5588: ) 5589: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5590: # Mock 5591: > mock = mock_func(mocker) 5592: E TypeError: 'staticmethod' object is not callable 5593: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5605: (mock_azure_embedding, EmbeddingType.AZURE), 5606: (mock_gemini_embedding, EmbeddingType.GEMINI), 5607: (mock_ollama_embedding, EmbeddingType.OLLAMA), 5608: ], 5609: ) 5610: def test_get_rag_embedding(self, mock_func, embedding_type, mocker): 5611: # Mock 5612: > mock = mock_func(mocker) 5613: E TypeError: 'staticmethod' object is not callable 5614: tests/metagpt/rag/factories/test_embedding.py:46: TypeError ... 5698: self = <tests.mock.mock_llm.MockLLM object at 0x7fa4e87ad220> 5699: msg_key = 'You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" ...### Paragraph 1\n\nwho is tulin\nThe one who eaten a poison apple.\n---\n## Paragraph 2\nDo you have a poison apple?\n' 5700: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa4e87ad220>> 5701: args = ('## Paragraph 1\n\nwho is tulin\nThe one who eaten a poison apple.\n---\n## Paragraph 2\nDo you have a poison apple?\...n "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".'], None, None, 3, False) 5702: kwargs = {} 5703: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 5704: if msg_key not in self.rsp_cache: 5705: if not self.allow_open_api_call: 5706: > raise ValueError( 5707: "In current test setting, api call is not allowed, you should properly mock your tests, " 5708: "or add expected api response in tests/data/rsp_cache.json. " 5709: f"The prompt you want for api call: {msg_key}" 5710: ) 5711: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 5712: E 5713: E who is tulin 5714: E The one who eaten a poison apple. 5715: E --- 5716: E ## Paragraph 2 5717: E Do you have a poison apple? 5718: tests/mock/mock_llm.py:114: ValueError ... 5774: self = <tests.mock.mock_llm.MockLLM object at 0x7fa508e886a0> 5775: msg_key = 'You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" ...draw me an picture?\nYes, of course. What do you want me to draw\ndraw apple\n---\n## Paragraph 2\nDraw me an apple.\n' 5776: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa508e886a0>> 5777: args = ('## Paragraph 1\n\ncan you draw me an picture?\nYes, of course. What do you want me to draw\ndraw apple\n---\n## Para...n "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".'], None, None, 3, False) 5778: kwargs = {} 5779: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 5780: if msg_key not in self.rsp_cache: 5781: if not self.allow_open_api_call: 5782: > raise ValueError( 5783: "In current test setting, api call is not allowed, you should properly mock your tests, " 5784: "or add expected api response in tests/data/rsp_cache.json. " 5785: f"The prompt you want for api call: {msg_key}" 5786: ) 5787: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 5788: E 5789: E can you draw me an picture? 5790: E Yes, of course. What do you want me to draw 5791: E draw apple 5792: E --- 5793: E ## Paragraph 2 5794: E Draw me an apple. 5795: tests/mock/mock_llm.py:114: ValueError ... 5802: To disable this warning, you can either: 5803: - Avoid using `tokenizers` before the fork if possible 5804: - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true \| false) 5805: huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... 5806: To disable this warning, you can either: 5807: - Avoid using `tokenizers` before the fork if possible 5808: - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true \| false) 5809: ----------------------------- Captured stderr call ----------------------------- 5810: 2024-04-22 11:37:22.766 \| WARNING \| metagpt.utils.redis:_connect:37 - Redis initialization has failed:'NoneType' object has no attribute 'to_url' 5811: ________________________________ test_engineer _________________________________ 5812: self = <AsyncRetrying object at 0x7fa5686e01f0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa5686e04f0>, wait=<tenac...0x7fa57a9918e0>, before=<function before_nothing at 0x7fa57a9941f0>, after=<function after_nothing at 0x7fa57a994550>)> 5813: fn = <function WriteCode.write_code at 0x7fa568617dc0> 5814: args = (WriteCode, "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular...ing a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n") 5815: kwargs = {} 5816: retry_state = <RetryCallState 140345707715696: attempt #6; slept for 20.77; last result: failed (ValueError In current test setting,... using a external variable/module, make sure you import it first. ... 5839: self = <tests.mock.mock_llm.MockLLM object at 0x7fa4e878dd00> 5840: msg_key = "\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to re...sing a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n" 5841: ask_func = <bound method MockLLM.original_aask of <tests.mock.mock_llm.MockLLM object at 0x7fa4e878dd00>> 5842: args = ("\nNOTICE\nRole: You are a professional engineer; the main goal is to write google-style, elegant, modular, easy to r...ule, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n\n", None, None, None, 3, True) 5843: kwargs = {} 5844: async def _mock_rsp(self, msg_key, ask_func, args, *kwargs): 5845: if msg_key not in self.rsp_cache: 5846: if not self.allow_open_api_call: 5847: > raise ValueError( 5848: "In current test setting, api call is not allowed, you should properly mock your tests, " 5849: "or add expected api response in tests/data/rsp_cache.json. " 5850: f"The prompt you want for api call: {msg_key}" 5851: ) 5852: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 5996: E ## Code: smart_search_engine/index.py. Write code with triple quoto, based on the following attentions and context. 5997: E 1. Only One file: do your best to implement THIS ONLY ONE FILE. 5998: E 2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets. 5999: E 3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import. 6000: E 4. Follow design: YOU MUST FOLLOW "Data structures and interfaces". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design. 6001: E 5. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE. 6002: E 6. Before using a external variable/module, make sure you import it first. 6003: E 7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO. 6004: tests/mock/mock_llm.py:114: ValueError 6005: The above exception was the direct cause of the following exception: 6006: self = Engineer(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_name='',...Code, WriteCode, WriteCode, WriteCode, WriteCode], summarize_todos=[], next_todo_action='SummarizeCode', n_summarize=0) 6007: args = (user: ,), kwargs = {} 6008: last_error = ValueError('In current test setting, api call is not allowed, you should properly mock your tests, or add expected api...ng a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON\'T LEAVE TODO.\n\n') 6009: name = 'builtins.ValueError' ... 6027: metagpt/actions/write_code.py:142: in run 6028: code = await self.write_code(prompt) 6029: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:88: in async_wrapped 6030: return await fn(args, *kwargs) 6031: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py:47: in __call__ 6032: do = self.iter(retry_state=retry_state) 6033: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 6034: self = <AsyncRetrying object at 0x7fa5686e01f0 (stop=<tenacity.stop.stop_after_attempt object at 0x7fa5686e04f0>, wait=<tenac...0x7fa57a9918e0>, before=<function before_nothing at 0x7fa57a9941f0>, after=<function after_nothing at 0x7fa57a994550>)> 6035: retry_state = <RetryCallState 140345707715696: attempt #6; slept for 20.77; last result: failed (ValueError In current test setting,... using a external variable/module, make sure you import it first. 6036: 7. Write out EVERY CODE DETAIL, DON'T LEAVE TODO. 6037: )> 6038: def iter(self, retry_state: "RetryCallState") -> t.Union[DoAttempt, DoSleep, t.Any]: # noqa 6039: fut = retry_state.outcome 6040: if fut is None: 6041: if self.before is not None: 6042: self.before(retry_state) 6043: return DoAttempt() 6044: is_explicit_retry = fut.failed and isinstance(fut.exception(), TryAgain) 6045: if not (is_explicit_retry or self.retry(retry_state)): 6046: return fut.result() 6047: if self.after is not None: 6048: self.after(retry_state) 6049: self.statistics["delay_since_first_attempt"] = retry_state.seconds_since_start 6050: if self.stop(retry_state): 6051: if self.retry_error_callback: 6052: return self.retry_error_callback(retry_state) 6053: retry_exc = self.retry_error_cls(fut) 6054: if self.reraise: 6055: raise retry_exc.reraise() 6056: > raise retry_exc from fut.exception() 6057: E tenacity.RetryError: RetryError[<Future at 0x7fa4c80dd8e0 state=finished raised ValueError>] 6058: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/__init__.py:326: RetryError ... 6067: await context.repo.docs.system_design.save(rqno, content=MockMessages.system_design.content) 6068: await context.repo.docs.task.save(rqno, content=MockMessages.json_tasks.content) 6069: engineer = Engineer(context=context) 6070: > rsp = await engineer.run(Message(content="", cause_by=WriteTasks)) 6071: tests/metagpt/roles/test_engineer.py:35: 6072: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 6073: self = Engineer(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_name='',...Code, WriteCode, WriteCode, WriteCode, WriteCode], summarize_todos=[], next_todo_action='SummarizeCode', n_summarize=0) 6074: args = (user: ,), kwargs = {} 6075: last_error = ValueError('In current test setting, api call is not allowed, you should properly mock your tests, or add expected api...ng a external variable/module, make sure you import it first.\n7. Write out EVERY CODE DETAIL, DON\'T LEAVE TODO.\n\n') 6076: name = 'builtins.ValueError' 6077: async def wrapper(self, args, *kwargs): 6078: try: 6079: return await func(self, args, *kwargs) 6080: except KeyboardInterrupt as kbi: 6081: logger.error(f"KeyboardInterrupt: {kbi} occurs, start to serialize the project") ... 6087: if self.latest_observed_msg: 6088: logger.warning( 6089: "There is a exception in role's execution, in order to resume, " 6090: "we delete the newest role communication message in the role's memory." 6091: ) 6092: # remove role newest observed msg to make it observed again 6093: self.rc.memory.delete(self.latest_observed_msg) 6094: # raise again to make it captured outside 6095: if isinstance(e, RetryError): 6096: last_error = e.last_attempt._exception 6097: name = any_to_str(last_error) 6098: if re.match(r"^openai\.", name) or re.match(r"^httpx\.", name): 6099: raise last_error ... 6103: E result = await fn(args, *kwargs) 6104: E File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/write_code.py", line 89, in write_code 6105: E code_rsp = await self._aask(prompt) 6106: E File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/action.py", line 93, in _aask 6107: E return await self.llm.aask(prompt, system_msgs) 6108: E File "/home/runner/work/MetaGPT/MetaGPT/tests/mock/mock_llm.py", line 98, in aask 6109: E rsp = await self._mock_rsp(msg_key, self.original_aask, msg, system_msgs, format_msgs, images, timeout, stream) 6110: E File "/home/runner/work/MetaGPT/MetaGPT/tests/mock/mock_llm.py", line 114, in _mock_rsp 6111: E raise ValueError( 6112: E ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 6284: E File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/write_code.py", line 142, in run 6285: E code = await self.write_code(prompt) 6286: E File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py", line 88, in async_wrapped 6287: E return await fn(args, kwargs) 6288: E File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py", line 47, in __call__ 6289: E do = self.iter(retry_state=retry_state) 6290: E File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/__init__.py", line 326, in iter 6291: E raise retry_exc from fut.exception() 6292: E tenacity.RetryError: RetryError[<Future at 0x7fa4c80dd8e0 state=finished raised ValueError>] ... 6334: ________________________________ test_add_role _________________________________ 6335: env = Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>, observation_space=<gymnasium.spaces....0125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}}))) 6336: def test_add_role(env: Environment): 6337: role = ProductManager( 6338: name="Alice", profile="product manager", goal="create a new product", constraints="limited resources" 6339: ) 6340: env.add_role(role) 6341: > assert env.get_role(str(role._setting)) == role 6342: E AssertionError: assert None == ProductManager(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_na...t'>, {}), ignore_id=False), auto_run=False), recovered=False, latest_observed_msg=None, todo_action='PrepareDocuments') 6343: E + where None = <bound method Environment.get_role of Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>...125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}})))>('Alice(product manager)') 6344: E + where <bound method Environment.get_role of Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>...125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}})))> = Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>, observation_space=<gymnasium.spaces....0125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}}))).get_role 6345: E + and 'Alice(product manager)' = str('Alice(product manager)') 6346: E + where 'Alice(product manager)' = ProductManager(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_na...t'>, {}), ignore_id=False), auto_run=False), recovered=False, latest_observed_msg=None, todo_action='PrepareDocuments')._setting 6347: tests/metagpt/test_environment.py:32: AssertionError ... 6391: return await self._retry_request( 6392: options, 6393: cast_to, 6394: retries, 6395: stream=stream, 6396: stream_cls=stream_cls, 6397: response_headers=None, 6398: ) 6399: raise APITimeoutError(request=request) from err ... 6402: return await self._retry_request( 6403: options, 6404: cast_to, 6405: retries, 6406: stream=stream, 6407: stream_cls=stream_cls, 6408: response_headers=None, 6409: ) 6410: raise APIConnectionError(request=request) from err 6411: log.debug( 6412: 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase 6413: ) 6414: try: 6415: response.raise_for_status() 6416: except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code ... 6423: err.response.headers, 6424: stream=stream, 6425: stream_cls=stream_cls, 6426: ) 6427: # If the response is streamed then we need to explicitly read the response 6428: # to completion before attempting to access the response text. 6429: if not err.response.is_closed: 6430: await err.response.aread() 6431: > raise self._make_status_error_from_response(err.response) from None 6432: E openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6433: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py:1392: AuthenticationError ... 6451: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 6452: self = <metagpt.tools.moderation.Moderation object at 0x7fa4e8423e20> 6453: content = ['I will kill you', 'The weather is really nice today', 'I want to hit you'] 6454: async def amoderation(self, content: Union[str, list[str]]): 6455: resp = [] 6456: if content: 6457: moderation_results = await self.llm.amoderation(content=content) 6458: > results = moderation_results.results 6459: E AttributeError: 'NoneType' object has no attribute 'results' 6460: metagpt/tools/moderation.py:36: AttributeError 6461: ---------------------------- Captured stderr setup ----------------------------- 6462: INFO: Shutting down 6463: ----------------------------- Captured stderr call ----------------------------- 6464: INFO: Waiting for application shutdown. 6465: INFO: Application shutdown complete. 6466: INFO: Finished server process [11136] 6467: 2024-04-22 11:39:56.002 \| ERROR \| metagpt.tools.moderation:amoderation:35 - Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}: , ... 6473: return await self.aclient.moderations.create(input=content) 6474: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/resources/moderations.py", line 123, in create 6475: return await self._post( 6476: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1536, in post 6477: return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls) 6478: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1315, in request 6479: return await self._request( 6480: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1392, in _request 6481: raise self._make_status_error_from_response(err.response) from None 6482: openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6483: ------------------------------ Captured log call ------------------------------- 6484: ERROR metagpt.tools.moderation:moderation.py:35 Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}: , ... 6490: return await self.aclient.moderations.create(input=content) 6491: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/resources/moderations.py", line 123, in create 6492: return await self._post( 6493: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1536, in post 6494: return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls) 6495: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1315, in request 6496: return await self._request( 6497: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/openai/_base_client.py", line 1392, in _request 6498: raise self._make_status_error_from_response(err.response) from None 6499: openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} ... 6537: rsp = await search_engine.run("metagpt", max_results, as_string) 6538: logger.info(rsp) 6539: if as_string: 6540: assert isinstance(rsp, str) 6541: else: 6542: assert isinstance(rsp, list) 6543: assert len(rsp) <= max_results 6544: > await test(SearchEngine(search_engine_config)) 6545: E pydantic_core._pydantic_core.ValidationError: 1 validation error for SearchEngine 6546: E api_key 6547: E Field required [type=missing, input_value={}, input_type=dict] 6548: E For further information visit https://errors.pydantic.dev/2.5/v/missing 6549: tests/metagpt/tools/test_search_engine.py:72: ValidationError ... 6577: retcode = 1 6578: def run(popenargs, 6579: input=None, capture_output=False, timeout=None, check=False, kwargs): 6580: """Run command with arguments and return a CompletedProcess instance. 6581: The returned instance will have attributes args, returncode, stdout and 6582: stderr. By default, stdout and stderr are not captured, and those attributes 6583: will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them. 6584: If check is True and the exit code was non-zero, it raises a 6585: CalledProcessError. The CalledProcessError object will have the return code ... 6590: There is an optional argument "input", allowing you to 6591: pass bytes or a string to the subprocess's stdin. If you use this argument 6592: you may not also use the Popen constructor's "stdin" argument, as 6593: it will be used internally. 6594: By default, all communication is in bytes, and therefore any "input" should 6595: be bytes, and the stdout and stderr will be bytes. If in text mode, any 6596: "input" should be a string, and stdout and stderr will be strings decoded 6597: according to locale encoding, or by "encoding" if set. Text mode is 6598: triggered by setting any of text, encoding, errors or universal_newlines. 6599: The other arguments are the same as for the Popen constructor. 6600: """ 6601: if input is not None: 6602: if kwargs.get('stdin') is not None: 6603: raise ValueError('stdin and input arguments may not both be used.') 6604: kwargs['stdin'] = PIPE 6605: if capture_output: 6606: if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None: 6607: raise ValueError('stdout and stderr arguments may not be used ' ... 6626: process.wait() 6627: raise 6628: except: # Including KeyboardInterrupt, communicate handled that. 6629: process.kill() 6630: # We don't call process.wait() as .__exit__ does that for us. 6631: raise 6632: retcode = process.poll() 6633: if check and retcode: 6634: > raise CalledProcessError(retcode, process.args, 6635: output=stdout, stderr=stderr) 6636: E subprocess.CalledProcessError: Command '['tree', '--gitfile', '/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../../../.gitignore', '/home/runner/work/MetaGPT/MetaGPT/tests']' returned non-zero exit status 1. 6637: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/subprocess.py:528: CalledProcessError ... 6644: ../../../../../opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/jupyter_client/connect.py:22 6645: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/jupyter_client/connect.py:22: DeprecationWarning: Jupyter is migrating its paths to use standard platformdirs 6646: given by the platformdirs library. To remove this warning and 6647: see the appropriate new directories, set the environment variable 6648: `JUPYTER_PLATFORM_DIRS=1` and then run `jupyter --paths`. 6649: The use of platformdirs will be the default in `jupyter_core` v6 6650: from jupyter_core.paths import jupyter_data_dir, jupyter_runtime_dir, secure_write 6651: tests/metagpt/actions/test_write_code.py::test_write_code_deps 6652: /home/runner/work/MetaGPT/MetaGPT/tests/metagpt/actions/test_write_code.py:93: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6653: coding_doc = Document(root_path="snake1", filename="game.py", content=ccontext.json()) 6654: tests/metagpt/actions/test_write_code.py::test_write_code_deps 6655: tests/metagpt/actions/test_write_code.py::test_write_refined_code 6656: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6657: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6658: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6659: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6660: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/main.py:1005: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6661: warnings.warn('The `json` method is deprecated; use `model_dump_json` instead.', DeprecationWarning) 6662: tests/metagpt/actions/test_write_code.py::test_write_refined_code 6663: /home/runner/work/MetaGPT/MetaGPT/tests/metagpt/actions/test_write_code.py:123: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ ... 6682: See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info. 6683: tests/metagpt/learn/test_text_to_image.py::test_openai_text_to_image 6684: tests/metagpt/tools/test_openai_text_to_image.py::test_draw 6685: /home/runner/work/MetaGPT/MetaGPT/metagpt/tools/openai_text_to_image.py:47: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited 6686: response.raise_for_status() # 如果是 4xx 或 5xx 响应，会引发异常 6687: Enable tracemalloc to get traceback where the object was allocated. 6688: See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info. 6689: tests/metagpt/learn/test_text_to_speech.py::test_azure_text_to_speech 6690: /home/runner/work/MetaGPT/MetaGPT/tests/metagpt/learn/test_text_to_speech.py:41: PydanticDeprecatedSince20: The copy method is deprecated; use `model_copy` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6691: config.copy() 6692: tests/metagpt/learn/test_text_to_speech.py::test_azure_text_to_speech 6693: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/main.py:1175: PydanticDeprecatedSince20: The `copy` method is deprecated; use `model_copy` instead. See the docstring of `BaseModel.copy` for details about how to handle `include` and `exclude`. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ ... 6696: tests/metagpt/planner/test_action_planner.py::test_action_planner 6697: tests/metagpt/planner/test_action_planner.py::test_action_planner 6698: tests/metagpt/planner/test_action_planner.py::test_action_planner 6699: tests/metagpt/planner/test_basic_planner.py::test_basic_planner 6700: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6701: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6702: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6703: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6704: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/inspect.py:351: PydanticDeprecatedSince20: The `__fields__` attribute is deprecated, use `model_fields` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6705: value = getattr(object, key) 6706: tests/metagpt/planner/test_action_planner.py::test_action_planner 6707: tests/metagpt/planner/test_action_planner.py::test_action_planner 6708: tests/metagpt/planner/test_action_planner.py::test_action_planner 6709: tests/metagpt/planner/test_action_planner.py::test_action_planner 6710: tests/metagpt/planner/test_basic_planner.py::test_basic_planner 6711: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/main.py:952: PydanticDeprecatedSince20: The `__fields__` attribute is deprecated, use `model_fields` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6712: warnings.warn('The `__fields__` attribute is deprecated, use `model_fields` instead.', DeprecationWarning) 6713: tests/metagpt/planner/test_action_planner.py::test_action_planner 6714: tests/metagpt/planner/test_action_planner.py::test_action_planner 6715: tests/metagpt/planner/test_action_planner.py::test_action_planner 6716: tests/metagpt/planner/test_action_planner.py::test_action_planner 6717: tests/metagpt/planner/test_basic_planner.py::test_basic_planner 6718: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/inspect.py:351: PydanticDeprecatedSince20: The `__fields_set__` attribute is deprecated, use `model_fields_set` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6719: value = getattr(object, key) 6720: tests/metagpt/planner/test_action_planner.py::test_action_planner 6721: tests/metagpt/planner/test_action_planner.py::test_action_planner 6722: tests/metagpt/planner/test_action_planner.py::test_action_planner 6723: tests/metagpt/planner/test_action_planner.py::test_action_planner 6724: tests/metagpt/planner/test_basic_planner.py::test_basic_planner 6725: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/main.py:961: PydanticDeprecatedSince20: The `__fields_set__` attribute is deprecated, use `model_fields_set` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ ... 6765: tests/metagpt/utils/test_session.py: 1 warning 6766: tests/metagpt/utils/test_text.py: 21 warnings 6767: tests/metagpt/utils/test_token_counter.py: 8 warnings 6768: tests/metagpt/utils/test_tree.py: 8 warnings 6769: tests/metagpt/utils/test_visual_graph_repo.py: 1 warning 6770: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/httpx/_client.py:1417: DeprecationWarning: The 'proxies' argument is now deprecated. Use 'proxy' or 'mounts' instead. 6771: warnings.warn(message, DeprecationWarning) 6772: tests/metagpt/roles/di/test_data_interpreter.py: 24 warnings 6773: /home/runner/work/MetaGPT/MetaGPT/metagpt/strategy/planner.py:150: PydanticDeprecatedSince20: The `dict` method is deprecated; use `model_dump` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6774: tasks = [task.dict(exclude=task_exclude_field) for task in self.plan.tasks] 6775: tests/metagpt/roles/di/test_data_interpreter.py: 24 warnings 6776: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/main.py:979: PydanticDeprecatedSince20: The `dict` method is deprecated; use `model_dump` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ 6777: warnings.warn('The `dict` method is deprecated; use `model_dump` instead.', DeprecationWarning) 6778: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6779: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6780: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6781: tests/metagpt/roles/di/test_data_interpreter.py::test_interpreter[False] 6782: /home/runner/work/MetaGPT/MetaGPT/metagpt/strategy/planner.py:152: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ ... 6825: self.variances_ = np.nanvar(X, axis=0) 6826: tests/metagpt/tools/libs/test_feature_engineering.py::test_variance_based_selection 6827: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered 6828: self.variances_ = np.nanmin(compare_arr, axis=0) 6829: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6830: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6831: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6832: tests/metagpt/utils/test_common.py::TestGetProjectRoot::test_print_members[tests.metagpt.utils.test_common] 6833: /opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/pydantic/_internal/_model_construction.py:248: PydanticDeprecatedSince20: The `__fields__` attribute is deprecated, use `model_fields` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.5/migration/ ... 6853: 15.55s call tests/metagpt/ext/stanford_town/plan/test_conversation.py::test_agent_conversation 6854: 15.51s call tests/metagpt/tools/test_web_browser_engine_selenium.py::test_scrape_web_page[firefox-normal] 6855: 15.50s call tests/metagpt/ext/stanford_town/roles/test_st_role.py::test_observe 6856: 15.40s call tests/metagpt/ext/stanford_town/memory/test_agent_memory.py::TestAgentMemory::test_retrieve_function 6857: 15.17s call tests/metagpt/serialize_deserialize/test_team.py::test_team_recover_multi_roles_save 6858: 14.10s call tests/metagpt/roles/test_architect.py::test_architect 6859: 12.68s call tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestActualRetrieve::test_retrieve_villager_experience_filtering 6860: =========================== short test summary info ============================ 6861: FAILED tests/metagpt/actions/di/test_write_analysis_code.py::test_debug_with_reflection - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation.#SYSTEM_MSG_END# ... 6866: ```python 6867: def add(a: int, b: int) -> int: 6868: """ 6869: Given integers a and b, return the total value of a and b. 6870: """ 6871: return a - b 6872: ``` 6873: user: 6874: Tests failed: 6875: assert add(1, 2) == 3 # output: -1 6876: assert add(1, 3) == 4 # output: -2 6877: [reflection on previous impl]: 6878: The implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input. 6879: [improved impl]: 6880: def add(a: int, b: int) -> int: 6881: """ 6882: Given integers a and b, return the total value of a and b. 6883: """ 6884: return a + b 6885: [/example] 6886: [context] 6887: [{'role': 'user', 'content': "\n# User Requirement\nread a dataset test.csv and print its head\n\n# Plan Status\n\n ## Finished Tasks\n ### code\n ```python\n ```\n\n ### execution result\n\n ## Current Task\n import pandas and load the dataset from 'test.csv'.\n\n ## Task Guidance\n Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\n Specifically, \n \n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n"}, {'role': 'assistant', 'content': "import pandas as pd\ndata = pd.read_excel('test.csv')\ndata"}, {'role': 'user', 'content': '\n Traceback (most recent call last):\n File "<stdin>", line 2, in <module>\n File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel\n io = ExcelFile(io, storage_options=storage_options, engine=engine)\n File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__\n raise ValueError(\n ValueError: Excel file format cannot be determined, you must specify an engine manually.\n '}] ... 6889: [assistant: import pandas as pd 6890: data = pd.read_excel('test.csv') 6891: data, user: 6892: Traceback (most recent call last): 6893: File "<stdin>", line 2, in <module> 6894: File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel 6895: io = ExcelFile(io, storage_options=storage_options, engine=engine) 6896: File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__ 6897: raise ValueError( 6898: ValueError: Excel file format cannot be determined, you must specify an engine manually. 6899: ] 6900: [instruction] 6901: Analyze your previous code and error in [context] step by step, provide me with improved method and code. Remember to follow [context] requirement. Don't forget to write code for steps behind the error step. 6902: Output a json following the format: 6903: ```json 6904: { 6905: "reflection": str = "Reflection on previous implementation", 6906: "improved_impl": str = "Refined code after reflection.", 6907: } 6908: ``` 6909: FAILED tests/metagpt/actions/test_write_code.py::test_write_code_deps - tenacity.RetryError: RetryError[<Future at 0x7fa510874310 state=finished raised ValueError>] 6910: FAILED tests/metagpt/actions/test_write_code.py::test_get_codes - AssertionError: assert '' 6911: FAILED tests/metagpt/actions/test_write_prd.py::test_write_prd_inc - tenacity.RetryError: RetryError[<Future at 0x7fa510586550 state=finished raised ValueError>] 6912: FAILED tests/metagpt/environment/werewolf_env/test_werewolf_ext_env.py::test_werewolf_ext_env - AssertionError: assert None == 'Player4' 6913: + where None = WerewolfExtEnv(action_space=<gymnasium.spaces.space.Space object at 0x7fa510cc66a0>, observation_space=<gymnasium.spac... player_hunted=None, player_protected=None, is_hunted_player_saved=False, player_poisoned=None, player_current_dead=[]).player_hunted 6914: FAILED tests/metagpt/ext/stanford_town/memory/test_agent_memory.py::TestAgentMemory::test_retrieve_function - ValueError: get_embedding failed 6915: FAILED tests/metagpt/ext/stanford_town/plan/test_conversation.py::test_agent_conversation - ValueError: get_embedding failed 6916: FAILED tests/metagpt/ext/stanford_town/plan/test_st_plan.py::test_should_react - ValueError: get_embedding failed 6917: FAILED tests/metagpt/ext/stanford_town/roles/test_st_role.py::test_observe - ValueError: get_embedding failed 6918: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_add - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6919: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_retrieve - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6920: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_retrieve_filtering - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6921: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestActualRetrieve::test_retrieve_villager_experience - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6922: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestActualRetrieve::test_retrieve_villager_experience_filtering - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6923: FAILED tests/metagpt/memory/test_brain_memory.py::test_memory_llm[llm0] - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 6924: moon 6925: --- 6926: ## Paragraph 2 6927: apple 6928: FAILED tests/metagpt/planner/test_action_planner.py::test_action_planner - semantic_kernel.planning.planning_exception.PlanningException: (<ErrorCodes.InvalidPlan: 1>, 'Encountered an error while parsing Plan JSON.', None) 6929: FAILED tests/metagpt/planner/test_basic_planner.py::test_basic_planner - assert 'WriterSkill.Brainstorm' in '' 6930: + where '' = SKContext(memory=NullMemory(), variables=ContextVariables(variables={'input': '', 'goal': "\n Tomorrow is Valen...TION_PARAM_NAME_REGEX='^[0-9A-Za-z_]$', FUNCTION_NAME_REGEX='^[0-9A-Za-z_]$', SKILL_NAME_REGEX='^[0-9A-Za-z_]$')}})).result 6931: + where SKContext(memory=NullMemory(), variables=ContextVariables(variables={'input': '', 'goal': "\n Tomorrow is Valen...TION_PARAM_NAME_REGEX='^[0-9A-Za-z_]$', FUNCTION_NAME_REGEX='^[0-9A-Za-z_]$', SKILL_NAME_REGEX='^[0-9A-Za-z_]$')}})) = Prompt: \nYou are a planner for the Semantic Kernel.\nYour job is to create a properly formatted JSON plan step by step,.../platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}")).generated_plan 6932: + where Prompt: \nYou are a planner for the Semantic Kernel.\nYour job is to create a properly formatted JSON plan step by step,.../platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}}")) = SkAgent(private_context=None, private_config=None, private_llm=<metagpt.provider.openai_api.OpenAILLM object at 0x7fa5...810e580>>, import_skill=<bound method Kernel.import_skill of <semantic_kernel.kernel.Kernel object at 0x7fa4c810e580>>).plan 6933: FAILED tests/metagpt/provider/test_openai.py::test_text_to_speech - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6934: FAILED tests/metagpt/provider/test_openai.py::test_speech_to_text - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 6935: FAILED tests/metagpt/provider/test_openai.py::test_gen_image - openai.AuthenticationError: Error code: 401 - {'error': {'code': 'invalid_api_key', 'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'param': None, 'type': 'invalid_request_error'}} 6936: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func0-LLMType.OPENAI] - TypeError: 'staticmethod' object is not callable 6937: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func1-LLMType.AZURE] - TypeError: 'staticmethod' object is not callable 6938: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func2-EmbeddingType.OPENAI] - TypeError: 'staticmethod' object is not callable 6939: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func3-EmbeddingType.AZURE] - TypeError: 'staticmethod' object is not callable 6940: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func4-EmbeddingType.GEMINI] - TypeError: 'staticmethod' object is not callable 6941: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func5-EmbeddingType.OLLAMA] - TypeError: 'staticmethod' object is not callable 6942: FAILED tests/metagpt/roles/test_assistant.py::test_run - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 6943: who is tulin 6944: The one who eaten a poison apple. 6945: --- 6946: ## Paragraph 2 6947: Do you have a poison apple? 6948: FAILED tests/metagpt/roles/test_assistant.py::test_memory[memory0] - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 6949: can you draw me an picture? 6950: Yes, of course. What do you want me to draw 6951: draw apple 6952: --- 6953: ## Paragraph 2 6954: Draw me an apple. 6955: FAILED tests/metagpt/roles/test_engineer.py::test_engineer - Exception: Traceback (most recent call last): ... 6957: result = await fn(args, *kwargs) 6958: File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/write_code.py", line 89, in write_code 6959: code_rsp = await self._aask(prompt) 6960: File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/action.py", line 93, in _aask 6961: return await self.llm.aask(prompt, system_msgs) 6962: File "/home/runner/work/MetaGPT/MetaGPT/tests/mock/mock_llm.py", line 98, in aask 6963: rsp = await self._mock_rsp(msg_key, self.original_aask, msg, system_msgs, format_msgs, images, timeout, stream) 6964: File "/home/runner/work/MetaGPT/MetaGPT/tests/mock/mock_llm.py", line 114, in _mock_rsp 6965: raise ValueError( 6966: ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: ... 7112: File "/home/runner/work/MetaGPT/MetaGPT/metagpt/actions/write_code.py", line 142, in run 7113: code = await self.write_code(prompt) 7114: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py", line 88, in async_wrapped 7115: return await fn(args, **kwargs) 7116: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/_asyncio.py", line 47, in __call__ 7117: do = self.iter(retry_state=retry_state) 7118: File "/opt/hostedtoolcache/Python/3.9.19/x64/lib/python3.9/site-packages/tenacity/__init__.py", line 326, in iter 7119: raise retry_exc from fut.exception() 7120: tenacity.RetryError: RetryError[<Future at 0x7fa4c80dd8e0 state=finished raised ValueError>] 7121: FAILED tests/metagpt/test_environment.py::test_add_role - AssertionError: assert None == ProductManager(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_na...t'>, {}), ignore_id=False), auto_run=False), recovered=False, latest_observed_msg=None, todo_action='PrepareDocuments') 7122: + where None = <bound method Environment.get_role of Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>...125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}})))>('Alice(product manager)') 7123: + where <bound method Environment.get_role of Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>...125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}})))> = Environment(action_space=<gymnasium.spaces.space.Space object at 0x7fa508ed0760>, observation_space=<gymnasium.spaces....0125': {'prompt': 0.0005, 'completion': 0.0015}, 'openai/gpt-4-turbo-preview': {'prompt': 0.01, 'completion': 0.03}}))).get_role 7124: + and 'Alice(product manager)' = str('Alice(product manager)') 7125: + where 'Alice(product manager)' = ProductManager(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_na...t'>, {}), ignore_id=False), auto_run=False), recovered=False, latest_observed_msg=None, todo_action='PrepareDocuments')._setting 7126: FAILED tests/metagpt/test_llm.py::test_llm_acompletion - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7127: FAILED tests/metagpt/tools/test_moderation.py::test_amoderation[content0] - AttributeError: 'NoneType' object has no attribute 'results' 7128: FAILED tests/metagpt/tools/test_search_engine.py::test_search_engine[SearchEngineType.BING-None-6-False] - pydantic_core._pydantic_core.ValidationError: 1 validation error for SearchEngine 7129: api_key 7130: Field required [type=missing, input_value={}, input_type=dict] 7131: For further information visit https://errors.pydantic.dev/2.5/v/missing 7132: FAILED tests/metagpt/utils/test_tree.py::test_tree_command[/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../..-/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../../../.gitignore] - subprocess.CalledProcessError: Command '['tree', '--gitfile', '/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../../../.gitignore', '/home/runner/work/MetaGPT/MetaGPT/tests']' returned non-zero exit status 1. 7133: ===== 34 failed, 600 passed, 13 skipped, 304 warnings in 811.04s (0:13:31) ===== ... 7148: metagpt/_compat.py 15 11 27% 6-23 7149: metagpt/actions/__init__.py 40 0 100% 7150: metagpt/actions/action.py 67 1 99% 42 7151: metagpt/actions/action_graph.py 28 0 100% 7152: metagpt/actions/action_node.py 349 18 95% 214, 306, 326, 338, 429, 510, 518-522, 541, 559, 573, 578, 605-610, 627-628, 662 7153: metagpt/actions/action_outcls_registry.py 17 0 100% 7154: metagpt/actions/action_output.py 8 0 100% 7155: metagpt/actions/add_requirement.py 3 0 100% 7156: metagpt/actions/debug_error.py 30 4 87% 54, 59, 66, 69 ... 7484: metagpt/utils/stream_pipe.py 17 17 0% 8-40 7485: metagpt/utils/text.py 55 1 98% 31 7486: metagpt/utils/token_counter.py 65 23 65% 231-232, 234-235, 237-238, 244-245, 259-261, 282-284, 298-300, 305-312 7487: metagpt/utils/tree.py 56 4 93% 101-102, 129, 137 7488: metagpt/utils/visual_graph_repo.py 91 0 100% 7489: metagpt/utils/yaml_model.py 26 5 81% 24, 31, 35-36, 47 7490: ----------------------------------------------------------------------------------------------- 7491: TOTAL 18714 5505 71% 7492: ##[group]Run grep -E "FAILED tests\|ERROR tests\|[0-9]+ passed," unittest.txt 7493: �[36;1mgrep -E "FAILED tests\|ERROR tests\|[0-9]+ passed," unittest.txt�[0m 7494: �[36;1mfailed_count=$(grep -E "FAILED\|ERROR" unittest.txt \| wc -l)�[0m 7495: �[36;1mif [[ "$failed_count" -gt 0 ]]; then�[0m 7496: �[36;1m echo "$failed_count failed lines found! Task failed."�[0m ... 7500: env: 7501: pythonLocation: /opt/hostedtoolcache/Python/3.9.19/x64 7502: PKG_CONFIG_PATH: /opt/hostedtoolcache/Python/3.9.19/x64/lib/pkgconfig 7503: Python_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.19/x64 7504: Python2_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.19/x64 7505: Python3_ROOT_DIR: /opt/hostedtoolcache/Python/3.9.19/x64 7506: LD_LIBRARY_PATH: /opt/hostedtoolcache/Python/3.9.19/x64/lib 7507: ##[endgroup] 7508: FAILED tests/metagpt/actions/di/test_write_analysis_code.py::test_debug_with_reflection - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation.#SYSTEM_MSG_END# 7509: FAILED tests/metagpt/actions/test_write_code.py::test_write_code_deps - tenacity.RetryError: RetryError[<Future at 0x7fa510874310 state=finished raised ValueError>] 7510: FAILED tests/metagpt/actions/test_write_code.py::test_get_codes - AssertionError: assert '' 7511: FAILED tests/metagpt/actions/test_write_prd.py::test_write_prd_inc - tenacity.RetryError: RetryError[<Future at 0x7fa510586550 state=finished raised ValueError>] 7512: FAILED tests/metagpt/environment/werewolf_env/test_werewolf_ext_env.py::test_werewolf_ext_env - AssertionError: assert None == 'Player4' 7513: FAILED tests/metagpt/ext/stanford_town/memory/test_agent_memory.py::TestAgentMemory::test_retrieve_function - ValueError: get_embedding failed 7514: FAILED tests/metagpt/ext/stanford_town/plan/test_conversation.py::test_agent_conversation - ValueError: get_embedding failed 7515: FAILED tests/metagpt/ext/stanford_town/plan/test_st_plan.py::test_should_react - ValueError: get_embedding failed 7516: FAILED tests/metagpt/ext/stanford_town/roles/test_st_role.py::test_observe - ValueError: get_embedding failed 7517: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_add - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7518: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_retrieve - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7519: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestExperiencesOperation::test_retrieve_filtering - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7520: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestActualRetrieve::test_retrieve_villager_experience - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7521: FAILED tests/metagpt/ext/werewolf/actions/test_experience_operation.py::TestActualRetrieve::test_retrieve_villager_experience_filtering - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7522: FAILED tests/metagpt/memory/test_brain_memory.py::test_memory_llm[llm0] - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 7523: FAILED tests/metagpt/planner/test_action_planner.py::test_action_planner - semantic_kernel.planning.planning_exception.PlanningException: (<ErrorCodes.InvalidPlan: 1>, 'Encountered an error while parsing Plan JSON.', None) 7524: FAILED tests/metagpt/planner/test_basic_planner.py::test_basic_planner - assert 'WriterSkill.Brainstorm' in '' 7525: FAILED tests/metagpt/provider/test_openai.py::test_text_to_speech - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7526: FAILED tests/metagpt/provider/test_openai.py::test_speech_to_text - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7527: FAILED tests/metagpt/provider/test_openai.py::test_gen_image - openai.AuthenticationError: Error code: 401 - {'error': {'code': 'invalid_api_key', 'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'param': None, 'type': 'invalid_request_error'}} 7528: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func0-LLMType.OPENAI] - TypeError: 'staticmethod' object is not callable 7529: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func1-LLMType.AZURE] - TypeError: 'staticmethod' object is not callable 7530: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func2-EmbeddingType.OPENAI] - TypeError: 'staticmethod' object is not callable 7531: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func3-EmbeddingType.AZURE] - TypeError: 'staticmethod' object is not callable 7532: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func4-EmbeddingType.GEMINI] - TypeError: 'staticmethod' object is not callable 7533: FAILED tests/metagpt/rag/factories/test_embedding.py::TestRAGEmbeddingFactory::test_get_rag_embedding[mock_func5-EmbeddingType.OLLAMA] - TypeError: 'staticmethod' object is not callable 7534: FAILED tests/metagpt/roles/test_assistant.py::test_run - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 7535: FAILED tests/metagpt/roles/test_assistant.py::test_memory[memory0] - ValueError: In current test setting, api call is not allowed, you should properly mock your tests, or add expected api response in tests/data/rsp_cache.json. The prompt you want for api call: You are a tool capable of determining whether two paragraphs are semantically related.Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".#SYSTEM_MSG_END### Paragraph 1 7536: FAILED tests/metagpt/roles/test_engineer.py::test_engineer - Exception: Traceback (most recent call last): 7537: FAILED tests/metagpt/test_environment.py::test_add_role - AssertionError: assert None == ProductManager(private_context=Context(kwargs=AttrDict(), config=Config(extra_fields=None, project_path='', project_na...t'>, {}), ignore_id=False), auto_run=False), recovered=False, latest_observed_msg=None, todo_action='PrepareDocuments') 7538: FAILED tests/metagpt/test_llm.py::test_llm_acompletion - openai.AuthenticationError: Error code: 401 - {'error': {'message': 'Incorrect API key provided: sk-xxx. You can find your API key at https://platform.openai.com/account/api-keys.', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_api_key'}} 7539: FAILED tests/metagpt/tools/test_moderation.py::test_amoderation[content0] - AttributeError: 'NoneType' object has no attribute 'results' 7540: FAILED tests/metagpt/tools/test_search_engine.py::test_search_engine[SearchEngineType.BING-None-6-False] - pydantic_core._pydantic_core.ValidationError: 1 validation error for SearchEngine 7541: FAILED tests/metagpt/utils/test_tree.py::test_tree_command[/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../..-/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../../../.gitignore] - subprocess.CalledProcessError: Command '['tree', '--gitfile', '/home/runner/work/MetaGPT/MetaGPT/tests/metagpt/utils/../../../.gitignore', '/home/runner/work/MetaGPT/MetaGPT/tests']' returned non-zero exit status 1. 7542: ===== 34 failed, 600 passed, 13 skipped, 304 warnings in 811.04s (0:13:31) ===== 7543: 46 failed lines found! Task failed. 7544: ##[error]Process completed with exit code 1.

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codecov-commenter · 2024-04-22T11:37:54Z

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 70.58%. Comparing base (7e285fd) to head (9a7c195).

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@@           Coverage Diff           @@
##             main    #1217   +/-   ##
=======================================
  Coverage   70.57%   70.58%           
=======================================
  Files         314      314           
  Lines       18714    18714           
=======================================
+ Hits        13208    13209    +1     
+ Misses       5506     5505    -1

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update openai model version

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update openai model version

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