fixes #28

Author: jph00

00_core.ipynb

@@ -268,7 +268,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Response(id='resp_68950697c804819f941747ba366bd44d06882e5f785f5932', created_at=1754597015.0, error=None, incomplete_details=None, instructions=None, metadata={}, model='gpt-4.1-mini-2025-04-14', object='response', output=[ResponseOutputMessage(id='msg_6895069889c8819fa0b2707b022db17406882e5f785f5932', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[], top_p=1.0, background=False, max_output_tokens=100, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort=None, generate_summary=None, summary=None), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=In: 9; Out: 11; Total: 20, user=None, store=True)\n"
+      "Response(id='resp_689541c42db881a29afcdd68b26f9e7b07eca96f5a70ff55', created_at=1754612164.0, error=None, incomplete_details=None, instructions=None, metadata={}, model='gpt-4.1-mini-2025-04-14', object='response', output=[ResponseOutputMessage(id='msg_689541c51e3c81a2a85b561c6840cab707eca96f5a70ff55', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[], top_p=1.0, background=False, max_output_tokens=100, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort=None, generate_summary=None, summary=None), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=In: 9; Out: 11; Total: 20, user=None, store=True)\n"
      ]
     }
    ],
@@ -297,7 +297,7 @@
     "@patch\n",
     "def _repr_markdown_(self:Response):\n",
     "    det = '\\n- '.join(f'{k}: {v}' for k,v in dict(self).items())\n",
-    "    res = nested_idx(self, 'output', 0, 'content', 0, 'text')\n",
+    "    res = self.output_text\n",
     "    if not res: return f\"- {det}\"\n",
     "    return f\"\"\"{res}\n",
     "\n",
@@ -321,15 +321,15 @@
        "\n",
        "<details>\n",
        "\n",
-       "- id: resp_68950697c804819f941747ba366bd44d06882e5f785f5932\n",
-       "- created_at: 1754597015.0\n",
+       "- id: resp_689541c42db881a29afcdd68b26f9e7b07eca96f5a70ff55\n",
+       "- created_at: 1754612164.0\n",
        "- error: None\n",
        "- incomplete_details: None\n",
        "- instructions: None\n",
        "- metadata: {}\n",
        "- model: gpt-4.1-mini-2025-04-14\n",
        "- object: response\n",
-       "- output: [ResponseOutputMessage(id='msg_6895069889c8819fa0b2707b022db17406882e5f785f5932', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')]\n",
+       "- output: [ResponseOutputMessage(id='msg_689541c51e3c81a2a85b561c6840cab707eca96f5a70ff55', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')]\n",
        "- parallel_tool_calls: True\n",
        "- temperature: 1.0\n",
        "- tool_choice: auto\n",
@@ -355,7 +355,7 @@
        "</details>"
       ],
       "text/plain": [
-       "Response(id='resp_68950697c804819f941747ba366bd44d06882e5f785f5932', created_at=1754597015.0, error=None, incomplete_details=None, instructions=None, metadata={}, model='gpt-4.1-mini-2025-04-14', object='response', output=[ResponseOutputMessage(id='msg_6895069889c8819fa0b2707b022db17406882e5f785f5932', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[], top_p=1.0, background=False, max_output_tokens=100, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort=None, generate_summary=None, summary=None), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=In: 9; Out: 11; Total: 20, user=None, store=True)"
+       "Response(id='resp_689541c42db881a29afcdd68b26f9e7b07eca96f5a70ff55', created_at=1754612164.0, error=None, incomplete_details=None, instructions=None, metadata={}, model='gpt-4.1-mini-2025-04-14', object='response', output=[ResponseOutputMessage(id='msg_689541c51e3c81a2a85b561c6840cab707eca96f5a70ff55', content=[ResponseOutputText(annotations=[], text='Hi Jeremy! How can I assist you today?', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[], top_p=1.0, background=False, max_output_tokens=100, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort=None, generate_summary=None, summary=None), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=In: 9; Out: 11; Total: 20, user=None, store=True)"
       ]
      },
      "execution_count": null,

cosette/core.py

@@ -61,7 +61,7 @@ def can_set_temp(m): return m in has_temp_models
 @patch
 def _repr_markdown_(self:Response):
     det = '\n- '.join(f'{k}: {v}' for k,v in dict(self).items())
-    res = nested_idx(self, 'output', 0, 'content', 0, 'text')
+    res = self.output_text
     if not res: return f"- {det}"
     return f"""{res}
 

settings.ini

@@ -5,7 +5,7 @@ version = 0.2.2
 min_python = 3.9
 license = apache2
 black_formatting = False
-requirements = fastcore>=1.8.4 openai>=1.99.2 msglm>=0.0.8 toolslm>=0.3.0
+requirements = fastcore>=1.8.4 openai>=1.99.3 msglm>=0.0.8 toolslm>=0.3.0
 dev_requirements = ipython
 doc_path = _docs
 lib_path = cosette