type 'reasoning' was provided without its required following item. #2628

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1. github-actions commented on Sep 16, 2025

   

   github-actionsBot

   on Sep 16, 2025 – with GitHub Actions

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   This issue might be a duplicate of existing issues. Please check:

   • [bug] AI_APICallError: Item '...' of type 'reasoning' was provided without its required following item #2610: Same exact error message with GPT-5 - "AI_APICallError: Item '...' of type 'reasoning' was provided without its required following item"

   Feel free to ignore if none of these address your specific case.
2. rekram1-node

   assigned

   thdxr

   on Sep 16, 2025
3. rekram1-node commented on Sep 16, 2025

   

   rekram1-node

   on Sep 16, 2025

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   related: #2610
4. rekram1-node commented on Sep 16, 2025

   

   rekram1-node

   on Sep 16, 2025

   Last edited by rekram1-node

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   BTW:

   In your opencode.json:

   {
     "providers": {
         "opencode": {
         "models": {
           "gpt-5": {
             "options": {
               "reasoningSummary": null,
               "include": []
             }
           }
         }
       }
      }
   }
   

   that should fix it
   this basically just makes it so openai doesn't ssend the reasoning summaries, it shouldn't impact model performance afaik
   this is temporary fix^^
5. thdxr commented on Sep 17, 2025

   

   thdxr

   on Sep 17, 2025 – with Linear

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   we disabled the thing that was causing this
6. adamdotdevin

   closed this as completedin #2633on Sep 17, 2025
7. adamdotdevin

   reopened this on Sep 17, 2025
8. ferenci84 commented on Sep 24, 2025

   

   ferenci84

   on Sep 24, 2025

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   I commented this to an other issue, but copy here too:

   I just resolved a similar issue while I was implementing the responses API endpoint support in Continue.dev. The easiest resolution of the issue is to save the id field for all LLM-generated blocks and feed it back to the model. The problem with not including the encrypted_content is that the reasoning is lost between the tool calls, and the model have to think again.

   Below is my findings in details:

   Actual input (with bug):

   {
     "input": [
       {
         "role": "developer",
         "content": "[REDACTED_LONG_TEXT]"
       },
       {
         "role": "developer", 
         "content": "[REDACTED_LONG_TEXT]"
       },
       {
         "role": "user",
         "content": [
           {
             "type": "input_text",
             "text": "Show me the file tree of the ./src directory. Use the bash tool."
           }
         ]
       },
       {
         "type": "reasoning",
         "id": "rs_68d39705879881968df1eb77287e9d280454b285d187bb88",
         "summary": [
           {
             "type": "summary_text",
             "text": "**Exploring command options**\n\n[REDACTED_REASONING_CONTENT]"
           },
           {
             "type": "summary_text", 
             "text": "**Planning Python file listing**\n\n[REDACTED_REASONING_CONTENT]"
           },
           {
             "type": "summary_text",
             "text": "**Implementing file tree logic**\n\n[REDACTED_REASONING_CONTENT]"
           },
           {
             "type": "summary_text",
             "text": "**Implementing Python tree structure**\n\n[REDACTED_REASONING_CONTENT]"
           },
           {
             "type": "summary_text", 
             "text": "**Constructing command for file tree**\n\n[REDACTED_REASONING_CONTENT]"
           }
         ]
       },
       {
         "role": "assistant",
         "content": [
           {
             "type": "output_text",
             "text": "Goal: Display a tree view of the ./src directory using the bash tool.\n\nPlan:\n- Use a Python one-liner via bash to recursively walk the src directory and print a hierarchical tree.\n- Avoid disallowed commands like ls/find/grep and ensure paths are quoted and absolute.\n- Return the printed tree directly.\n\nExecuting now..."
           }
         ]
       },
       {
         "type": "function_call",
         "call_id": "call_LzJHggt1Y0E5vEI2AZuGexvG", 
         "name": "bash",
         "arguments": "{\"command\":\"python3 -c \\\"import os; from pathlib import Path; root=Path('./src'); print(root.name); import sys; \\nfor current, dirs, files in os.walk(root):\\n    current=Path(current); depth = 0 if current==root else len(current.relative_to(root).parts); indent = '    ' * depth; \\n    if current != root: print(indent + current.name); \\n    for f in sorted(files): print(indent + '    ' + f)\\\"\",\"timeout\":120000,\"description\":\"Prints tree view of src directory\"}"
       },
       {
         "type": "function_call_output",
         "call_id": "call_LzJHggt1Y0E5vEI2AZuGexvG",
         "output": "[REDACTED_LONG_OUTPUT]"
       }
     ]
   }

   Working input:

   {
     "input": [
       {
         "role": "developer",
         "content": "You are intelligent, helpful and an expert developer, who always gives the correct answer and follow instructions.",
         "type": "message"
       },
       {
         "role": "user", 
         "content": "Show me the file tree of the ./src directory. Use the run_terminal_command tool.",
         "type": "message"
       },
       {
         "id": "rs_68d399138740819494f52fc24c0cd08a0632cb035d829222",
         "type": "reasoning", 
         "summary": [
           {
             "type": "summary_text",
             "text": "**Executing terminal command**\n\n[REDACTED_REASONING_CONTENT]"
           }
         ],
         "encrypted_content": "gAAAAABo05kTutMoY2GZA4Be61B99_WBl4Kd3RuMHfExK8SUGT0XQzsNx_pBPpNHLPre3b8q8OYqJVBAzn4yFbS8MQIpAAz1MIu2VpvGs6osIlYWXDx85OxEJJPgm-NJob7NV4MZ9t1jJpQ9fWvEhFWTwmbZKC_2pU2D7datNQvMuLuNvsMHlQwNdxO043-y4dXL7hWBOZ9GsmUrTHqyDXOM9zYTZQF1B51W59-THzKmFPoHne4vMC5qstxwrMF7FjoWYO2mE7O5Yrot347uhdf9nimvJ7SkIzXgkmo8g-81o3MBJh-sulJhMZuj3Deot06BHaz31c_4faSNqTUO-NMitRvJZm_GhOl1K7o0I_NYMoRSX50cJw6Q1dV8lMpFcwCloyKBG-hnsyNQOyk9Zff92S1Ox59PKU2QAPo7kD8PcR6oMosZ2lVJtijSQdWJdb6fPf822qqbVhKLWsrbg-CVjoAmur9NL3UYH9jtu-B1Z1K14MmbMzAMxCbvxIGqV_Rl_nx0X5jJsIpIzrVjfYSAxkd1SIudR8ekenWEJ98DHQFIQgBInYm_Ildb6TzXMgXCddoOaZORzJfQ_yLgpERYqDlbCnQ3EY76uNaih7lsvdpx7UHYV2MUJKSjqcDoxZ3R5i8jkCk0X_U8Hs8JUEj9ei40ju9aCpQJsGqmvWbnjzmYQ8YuZh2JvCkfU40S56Ny5bQt1m_GfVaPXZvZte5udkrn9-8vV9x6JXgW3gtVDe5Drw6N0lvmxw1GhIQzjiJvtRace6WW_mtctx_ygD6FK4G2oWhRjMwkgaksK9bwHxszLgzCvH4="
       },
       {
         "id": "fc_68d3991a25c481948ed501f489af4b9c0632cb035d829222",
         "type": "function_call",
         "name": "run_terminal_command", 
         "arguments": "{\"command\": \"ls -laR ./src\", \"waitForCompletion\": true}",
         "call_id": "call_E2EH6FD4vea7tWphlai0HVDo"
       },
       {
         "type": "function_call_output",
         "call_id": "call_E2EH6FD4vea7tWphlai0HVDo",
         "output": "[REDACTED_LONG_OUTPUT]"
       }
     ]
   }

   Differences:

   • In the opencode generated input, the ID is missing from the tool call - this is what causes the
   • encrypted content is not fed back to the model - this doesn't cause API error, but the model may need to rethink everything after each tool call

   Note: The above buggy input was generated with the version 0.11.3. I am using the 0.7.9 version, and it's generated input is similar to the above "Working input", it has the id in the function call, and has the encrypted_content in the reasoning blocks.

   👍React with 👍2Reacted by Aiden Cline and Zero Zhang
9. thdxr

   closed this as completedin #2780on Sep 26, 2025