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# Directory Structure

```
├── .github
│   ├── .internal_dspyai
│   │   ├── internals
│   │   │   ├── build-and-release.md
│   │   │   └── release-checklist.md
│   │   └── pyproject.toml
│   ├── .tmp
│   │   └── .generated-actions
│   │       └── run-pypi-publish-in-docker-container
│   │           └── action.yml
│   ├── ISSUE_TEMPLATE
│   │   ├── bug_report.yml
│   │   └── feature_request.yml
│   ├── PULL_REQUEST_TEMPLATE
│   │   └── pull_request_template.md
│   ├── workflow_scripts
│   │   └── install_testpypi_pkg.sh
│   └── workflows
│       ├── build_and_release.yml
│       ├── build_utils
│       │   └── test_version.py
│       ├── docs-push.yml
│       ├── precommits_check.yml
│       └── run_tests.yml
├── .gitignore
├── .pre-commit-config.yaml
├── CONTRIBUTING.md
├── docs
│   ├── .gitignore
│   ├── docs
│   │   ├── api
│   │   │   ├── adapters
│   │   │   │   ├── Adapter.md
│   │   │   │   ├── ChatAdapter.md
│   │   │   │   ├── JSONAdapter.md
│   │   │   │   └── TwoStepAdapter.md
│   │   │   ├── evaluation
│   │   │   │   ├── answer_exact_match.md
│   │   │   │   ├── answer_passage_match.md
│   │   │   │   ├── CompleteAndGrounded.md
│   │   │   │   ├── Evaluate.md
│   │   │   │   ├── EvaluationResult.md
│   │   │   │   └── SemanticF1.md
│   │   │   ├── experimental
│   │   │   │   ├── Citations.md
│   │   │   │   └── Document.md
│   │   │   ├── index.md
│   │   │   ├── models
│   │   │   │   ├── Embedder.md
│   │   │   │   └── LM.md
│   │   │   ├── modules
│   │   │   │   ├── BestOfN.md
│   │   │   │   ├── ChainOfThought.md
│   │   │   │   ├── CodeAct.md
│   │   │   │   ├── Module.md
│   │   │   │   ├── MultiChainComparison.md
│   │   │   │   ├── Parallel.md
│   │   │   │   ├── Predict.md
│   │   │   │   ├── ProgramOfThought.md
│   │   │   │   ├── ReAct.md
│   │   │   │   └── Refine.md
│   │   │   ├── optimizers
│   │   │   │   ├── BetterTogether.md
│   │   │   │   ├── BootstrapFewShot.md
│   │   │   │   ├── BootstrapFewShotWithRandomSearch.md
│   │   │   │   ├── BootstrapFinetune.md
│   │   │   │   ├── BootstrapRS.md
│   │   │   │   ├── COPRO.md
│   │   │   │   ├── Ensemble.md
│   │   │   │   ├── GEPA
│   │   │   │   │   ├── GEPA_Advanced.md
│   │   │   │   │   └── overview.md
│   │   │   │   ├── InferRules.md
│   │   │   │   ├── KNN.md
│   │   │   │   ├── KNNFewShot.md
│   │   │   │   ├── LabeledFewShot.md
│   │   │   │   ├── MIPROv2.md
│   │   │   │   └── SIMBA.md
│   │   │   ├── primitives
│   │   │   │   ├── Audio.md
│   │   │   │   ├── Code.md
│   │   │   │   ├── Example.md
│   │   │   │   ├── History.md
│   │   │   │   ├── Image.md
│   │   │   │   ├── Prediction.md
│   │   │   │   ├── Tool.md
│   │   │   │   └── ToolCalls.md
│   │   │   ├── signatures
│   │   │   │   ├── InputField.md
│   │   │   │   ├── OutputField.md
│   │   │   │   └── Signature.md
│   │   │   ├── tools
│   │   │   │   ├── ColBERTv2.md
│   │   │   │   ├── Embeddings.md
│   │   │   │   └── PythonInterpreter.md
│   │   │   └── utils
│   │   │       ├── asyncify.md
│   │   │       ├── configure_cache.md
│   │   │       ├── disable_litellm_logging.md
│   │   │       ├── disable_logging.md
│   │   │       ├── enable_litellm_logging.md
│   │   │       ├── enable_logging.md
│   │   │       ├── inspect_history.md
│   │   │       ├── load.md
│   │   │       ├── StatusMessage.md
│   │   │       ├── StatusMessageProvider.md
│   │   │       ├── streamify.md
│   │   │       └── StreamListener.md
│   │   ├── cheatsheet.md
│   │   ├── community
│   │   │   ├── community-resources.md
│   │   │   ├── how-to-contribute.md
│   │   │   └── use-cases.md
│   │   ├── deep-dive
│   │   │   └── data-handling
│   │   │       ├── built-in-datasets.md
│   │   │       ├── examples.md
│   │   │       ├── img
│   │   │       │   └── data-loading.png
│   │   │       └── loading-custom-data.md
│   │   ├── faqs.md
│   │   ├── index.md
│   │   ├── js
│   │   │   └── runllm-widget.js
│   │   ├── learn
│   │   │   ├── evaluation
│   │   │   │   ├── data.md
│   │   │   │   ├── metrics.md
│   │   │   │   └── overview.md
│   │   │   ├── figures
│   │   │   │   ├── native_tool_call.png
│   │   │   │   └── teleprompter-classes.png
│   │   │   ├── index.md
│   │   │   ├── optimization
│   │   │   │   ├── optimizers.md
│   │   │   │   └── overview.md
│   │   │   └── programming
│   │   │       ├── 7-assertions.md
│   │   │       ├── adapters.md
│   │   │       ├── language_models.md
│   │   │       ├── mcp.md
│   │   │       ├── modules.md
│   │   │       ├── overview.md
│   │   │       ├── signatures.md
│   │   │       └── tools.md
│   │   ├── production
│   │   │   └── index.md
│   │   ├── roadmap.md
│   │   ├── static
│   │   │   ├── .nojekyll
│   │   │   └── img
│   │   │       ├── dspy_logo.png
│   │   │       ├── logo.png
│   │   │       ├── mlflow-tracing-rag.png
│   │   │       ├── modular.png
│   │   │       ├── optimize.png
│   │   │       ├── undraw_docusaurus_mountain.svg
│   │   │       ├── undraw_docusaurus_react.svg
│   │   │       ├── undraw_docusaurus_tree.svg
│   │   │       └── universal_compatibility.png
│   │   ├── stylesheets
│   │   │   └── extra.css
│   │   └── tutorials
│   │       ├── agents
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-agent.png
│   │       ├── ai_text_game
│   │       │   └── index.md
│   │       ├── async
│   │       │   └── index.md
│   │       ├── audio
│   │       │   └── index.ipynb
│   │       ├── build_ai_program
│   │       │   └── index.md
│   │       ├── cache
│   │       │   └── index.md
│   │       ├── classification
│   │       │   └── index.md
│   │       ├── classification_finetuning
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-classification.png
│   │       ├── conversation_history
│   │       │   └── index.md
│   │       ├── core_development
│   │       │   └── index.md
│   │       ├── custom_module
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-custom-module.png
│   │       ├── customer_service_agent
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-customer-service-agent.png
│   │       ├── deployment
│   │       │   ├── dspy_mlflow_ui.png
│   │       │   └── index.md
│   │       ├── email_extraction
│   │       │   ├── index.md
│   │       │   └── mlflow-tracing-email-extraction.png
│   │       ├── entity_extraction
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-entity-extraction.png
│   │       ├── games
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-agent.png
│   │       ├── gepa_ai_program
│   │       │   └── index.md
│   │       ├── gepa_aime
│   │       │   ├── index.ipynb
│   │       │   ├── mlflow-tracing-gepa-aime.png
│   │       │   └── mlflow-tracking-gepa-aime-optimization.png
│   │       ├── gepa_facilitysupportanalyzer
│   │       │   ├── index.ipynb
│   │       │   ├── mlflow-tracing-gepa-support.png
│   │       │   └── mlflow-tracking-gepa-support-optimization.png
│   │       ├── gepa_papillon
│   │       │   ├── index.ipynb
│   │       │   ├── mlflow-tracing-gepa-papilon.png
│   │       │   └── mlflow-tracking-gepa-papilon-optimization.png
│   │       ├── image_generation_prompting
│   │       │   └── index.ipynb
│   │       ├── index.md
│   │       ├── llms_txt_generation
│   │       │   └── index.md
│   │       ├── math
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-math.png
│   │       ├── mcp
│   │       │   └── index.md
│   │       ├── mem0_react_agent
│   │       │   └── index.md
│   │       ├── multihop_search
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-multi-hop.png
│   │       ├── observability
│   │       │   ├── index.md
│   │       │   ├── mlflow_trace_ui_navigation.gif
│   │       │   ├── mlflow_trace_ui.png
│   │       │   └── mlflow_trace_view.png
│   │       ├── optimize_ai_program
│   │       │   └── index.md
│   │       ├── optimizer_tracking
│   │       │   ├── child_run.png
│   │       │   ├── experiment.png
│   │       │   ├── index.md
│   │       │   └── parent_run.png
│   │       ├── output_refinement
│   │       │   └── best-of-n-and-refine.md
│   │       ├── papillon
│   │       │   └── index.md
│   │       ├── program_of_thought
│   │       │   └── index.ipynb
│   │       ├── rag
│   │       │   ├── index.ipynb
│   │       │   └── mlflow-tracing-rag.png
│   │       ├── real_world_examples
│   │       │   └── index.md
│   │       ├── rl_ai_program
│   │       │   └── index.md
│   │       ├── rl_multihop
│   │       │   └── index.ipynb
│   │       ├── rl_papillon
│   │       │   └── index.ipynb
│   │       ├── sample_code_generation
│   │       │   └── index.md
│   │       ├── saving
│   │       │   └── index.md
│   │       ├── streaming
│   │       │   └── index.md
│   │       ├── tool_use
│   │       │   └── index.ipynb
│   │       └── yahoo_finance_react
│   │           └── index.md
│   ├── mkdocs.yml
│   ├── overrides
│   │   ├── home.html
│   │   ├── main.html
│   │   └── partials
│   │       └── tabs.html
│   ├── Pipfile
│   ├── Pipfile.lock
│   ├── README.md
│   ├── requirements.txt
│   ├── scripts
│   │   ├── generate_api_docs.py
│   │   └── generate_api_summary.py
│   └── vercel.json
├── dspy
│   ├── __init__.py
│   ├── __metadata__.py
│   ├── adapters
│   │   ├── __init__.py
│   │   ├── baml_adapter.py
│   │   ├── base.py
│   │   ├── chat_adapter.py
│   │   ├── json_adapter.py
│   │   ├── two_step_adapter.py
│   │   ├── types
│   │   │   ├── __init__.py
│   │   │   ├── audio.py
│   │   │   ├── base_type.py
│   │   │   ├── citation.py
│   │   │   ├── code.py
│   │   │   ├── document.py
│   │   │   ├── history.py
│   │   │   ├── image.py
│   │   │   └── tool.py
│   │   ├── utils.py
│   │   └── xml_adapter.py
│   ├── clients
│   │   ├── __init__.py
│   │   ├── base_lm.py
│   │   ├── cache.py
│   │   ├── databricks.py
│   │   ├── embedding.py
│   │   ├── lm_local_arbor.py
│   │   ├── lm_local.py
│   │   ├── lm.py
│   │   ├── openai.py
│   │   ├── provider.py
│   │   └── utils_finetune.py
│   ├── datasets
│   │   ├── __init__.py
│   │   ├── alfworld
│   │   │   ├── __init__.py
│   │   │   ├── alfworld.py
│   │   │   └── base_config.yml
│   │   ├── colors.py
│   │   ├── dataloader.py
│   │   ├── dataset.py
│   │   ├── gsm8k.py
│   │   ├── hotpotqa.py
│   │   └── math.py
│   ├── dsp
│   │   ├── __init__.py
│   │   ├── colbertv2.py
│   │   └── utils
│   │       ├── __init__.py
│   │       ├── dpr.py
│   │       ├── settings.py
│   │       └── utils.py
│   ├── evaluate
│   │   ├── __init__.py
│   │   ├── auto_evaluation.py
│   │   ├── evaluate.py
│   │   └── metrics.py
│   ├── experimental
│   │   └── __init__.py
│   ├── predict
│   │   ├── __init__.py
│   │   ├── aggregation.py
│   │   ├── avatar
│   │   │   ├── __init__.py
│   │   │   ├── avatar.py
│   │   │   ├── models.py
│   │   │   └── signatures.py
│   │   ├── best_of_n.py
│   │   ├── chain_of_thought.py
│   │   ├── code_act.py
│   │   ├── knn.py
│   │   ├── multi_chain_comparison.py
│   │   ├── parallel.py
│   │   ├── parameter.py
│   │   ├── predict.py
│   │   ├── program_of_thought.py
│   │   ├── react.py
│   │   ├── refine.py
│   │   └── retry.py
│   ├── primitives
│   │   ├── __init__.py
│   │   ├── base_module.py
│   │   ├── example.py
│   │   ├── module.py
│   │   ├── prediction.py
│   │   ├── python_interpreter.py
│   │   └── runner.js
│   ├── propose
│   │   ├── __init__.py
│   │   ├── dataset_summary_generator.py
│   │   ├── grounded_proposer.py
│   │   ├── propose_base.py
│   │   └── utils.py
│   ├── retrievers
│   │   ├── __init__.py
│   │   ├── databricks_rm.py
│   │   ├── embeddings.py
│   │   ├── retrieve.py
│   │   └── weaviate_rm.py
│   ├── signatures
│   │   ├── __init__.py
│   │   ├── field.py
│   │   ├── signature.py
│   │   └── utils.py
│   ├── streaming
│   │   ├── __init__.py
│   │   ├── messages.py
│   │   ├── streamify.py
│   │   └── streaming_listener.py
│   ├── teleprompt
│   │   ├── __init__.py
│   │   ├── avatar_optimizer.py
│   │   ├── bettertogether.py
│   │   ├── bootstrap_finetune.py
│   │   ├── bootstrap_trace.py
│   │   ├── bootstrap.py
│   │   ├── copro_optimizer.py
│   │   ├── ensemble.py
│   │   ├── gepa
│   │   │   ├── __init__.py
│   │   │   ├── gepa_utils.py
│   │   │   ├── gepa.py
│   │   │   └── instruction_proposal.py
│   │   ├── grpo.py
│   │   ├── infer_rules.py
│   │   ├── knn_fewshot.py
│   │   ├── mipro_optimizer_v2.py
│   │   ├── random_search.py
│   │   ├── signature_opt.py
│   │   ├── simba_utils.py
│   │   ├── simba.py
│   │   ├── teleprompt_optuna.py
│   │   ├── teleprompt.py
│   │   ├── utils.py
│   │   └── vanilla.py
│   └── utils
│       ├── __init__.py
│       ├── annotation.py
│       ├── asyncify.py
│       ├── caching.py
│       ├── callback.py
│       ├── dummies.py
│       ├── exceptions.py
│       ├── hasher.py
│       ├── inspect_history.py
│       ├── langchain_tool.py
│       ├── logging_utils.py
│       ├── mcp.py
│       ├── parallelizer.py
│       ├── saving.py
│       ├── syncify.py
│       ├── unbatchify.py
│       └── usage_tracker.py
├── LICENSE
├── pyproject.toml
├── README.md
├── tests
│   ├── __init__.py
│   ├── adapters
│   │   ├── test_adapter_utils.py
│   │   ├── test_baml_adapter.py
│   │   ├── test_base_type.py
│   │   ├── test_chat_adapter.py
│   │   ├── test_citation.py
│   │   ├── test_code.py
│   │   ├── test_document.py
│   │   ├── test_json_adapter.py
│   │   ├── test_tool.py
│   │   ├── test_two_step_adapter.py
│   │   └── test_xml_adapter.py
│   ├── callback
│   │   └── test_callback.py
│   ├── clients
│   │   ├── test_cache.py
│   │   ├── test_databricks.py
│   │   ├── test_embedding.py
│   │   ├── test_inspect_global_history.py
│   │   └── test_lm.py
│   ├── conftest.py
│   ├── datasets
│   │   └── test_dataset.py
│   ├── docs
│   │   └── test_mkdocs_links.py
│   ├── evaluate
│   │   ├── test_evaluate.py
│   │   └── test_metrics.py
│   ├── examples
│   │   └── test_baleen.py
│   ├── metadata
│   │   └── test_metadata.py
│   ├── predict
│   │   ├── test_aggregation.py
│   │   ├── test_best_of_n.py
│   │   ├── test_chain_of_thought.py
│   │   ├── test_code_act.py
│   │   ├── test_knn.py
│   │   ├── test_multi_chain_comparison.py
│   │   ├── test_parallel.py
│   │   ├── test_predict.py
│   │   ├── test_program_of_thought.py
│   │   ├── test_react.py
│   │   ├── test_refine.py
│   │   └── test_retry.py
│   ├── primitives
│   │   ├── resources
│   │   │   └── saved_program.json
│   │   ├── test_base_module.py
│   │   ├── test_example.py
│   │   ├── test_module.py
│   │   └── test_python_interpreter.py
│   ├── propose
│   │   └── test_grounded_proposer.py
│   ├── README.md
│   ├── reliability
│   │   ├── __init__.py
│   │   ├── complex_types
│   │   │   └── generated
│   │   │       ├── test_many_types_1
│   │   │       │   ├── inputs
│   │   │       │   │   ├── input1.json
│   │   │       │   │   └── input2.json
│   │   │       │   ├── program.py
│   │   │       │   └── schema.json
│   │   │       ├── test_nesting_1
│   │   │       │   ├── inputs
│   │   │       │   │   ├── input1.json
│   │   │       │   │   └── input2.json
│   │   │       │   ├── program.py
│   │   │       │   └── schema.json
│   │   │       └── test_nesting_2
│   │   │           ├── inputs
│   │   │           │   └── input1.json
│   │   │           ├── program.py
│   │   │           └── schema.json
│   │   ├── conftest.py
│   │   ├── generate
│   │   │   ├── __init__.py
│   │   │   ├── __main__.py
│   │   │   └── utils.py
│   │   ├── input_formats
│   │   │   └── generated
│   │   │       └── test_markdown_1
│   │   │           ├── inputs
│   │   │           │   ├── input1.json
│   │   │           │   └── input2.json
│   │   │           ├── program.py
│   │   │           └── schema.json
│   │   ├── README.md
│   │   ├── reliability_conf.yaml
│   │   ├── test_generated.py
│   │   ├── test_pydantic_models.py
│   │   └── utils.py
│   ├── retrievers
│   │   └── test_embeddings.py
│   ├── signatures
│   │   ├── test_adapter_image.py
│   │   ├── test_custom_types.py
│   │   └── test_signature.py
│   ├── streaming
│   │   └── test_streaming.py
│   ├── teleprompt
│   │   ├── gepa_dummy_lm_custom_component_selector_custom_instruction_proposer.json
│   │   ├── gepa_dummy_lm.json
│   │   ├── test_bootstrap_finetune.py
│   │   ├── test_bootstrap_trace.py
│   │   ├── test_bootstrap.py
│   │   ├── test_copro_optimizer.py
│   │   ├── test_ensemble.py
│   │   ├── test_finetune.py
│   │   ├── test_gepa_instruction_proposer.py
│   │   ├── test_gepa.py
│   │   ├── test_grpo.py
│   │   ├── test_knn_fewshot.py
│   │   ├── test_random_search.py
│   │   ├── test_teleprompt.py
│   │   └── test_utils.py
│   ├── test_utils
│   │   ├── __init__.py
│   │   └── server
│   │       ├── __init__.py
│   │       ├── litellm_server_config.yaml
│   │       └── litellm_server.py
│   └── utils
│       ├── __init__.py
│       ├── resources
│       │   └── mcp_server.py
│       ├── test_annotation.py
│       ├── test_asyncify.py
│       ├── test_exceptions.py
│       ├── test_langchain_tool.py
│       ├── test_mcp.py
│       ├── test_parallelizer.py
│       ├── test_saving.py
│       ├── test_settings.py
│       ├── test_syncify.py
│       ├── test_unbatchify.py
│       └── test_usage_tracker.py
└── uv.lock
```

# Files

--------------------------------------------------------------------------------
/tests/teleprompt/gepa_dummy_lm_custom_component_selector_custom_instruction_proposer.json:
--------------------------------------------------------------------------------

```json
{"lm": [{"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `minute`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76SqVPjCr5S9iY10Qy1IeMcYRAD', created=1757479932, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe longer minute hand points at the 2 on the dial, which corresponds to 10 minutes.\\n\\n[[ ## minute ## ]]\\n10\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe longer minute hand points at the 2 on the dial, which corresponds to 10 minutes.\n\n[[ ## minute ## ]]\n10\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.010098750000000002, "timestamp": "2025-09-09T22:45:47.013627", "uuid": "af5f7d07-378a-4000-a8e9-2a0f0aa478b4", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `hour`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76T11KnCZm6PV4gqeWiN0K0WXC9', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe hour hand is pointing at the 10 on the clock face, so the hour is 10.\\n\\n[[ ## hour ## ]]\\n10\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe hour hand is pointing at the 10 on the clock face, so the hour is 10.\n\n[[ ## hour ## ]]\n10\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.009468750000000001, "timestamp": "2025-09-09T22:45:47.014155", "uuid": "bd54d56f-c1bc-4f58-b46b-10cea63c6a2b", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `hour`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76Tzq07EuvUd6NqFPi5sDlZQ1fR', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\\n\\n[[ ## hour ## ]]\\n1\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\n\n[[ ## hour ## ]]\n1\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.01118875, "timestamp": "2025-09-09T22:45:47.014524", "uuid": "da555aaa-5dec-4ac8-86db-c747116e2286", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `minute`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76TPH60CaoQjw7UCWgM4sxc74FQ', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\\n\\n[[ ## minute ## ]]\\n15\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\n\n[[ ## minute ## ]]\n15\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.00666875, "timestamp": "2025-09-09T22:45:47.014673", "uuid": "8da47789-6ebd-45e1-a2fb-cd998d8f6e3e", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `hour`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76Tzq07EuvUd6NqFPi5sDlZQ1fR', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\\n\\n[[ ## hour ## ]]\\n1\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\n\n[[ ## hour ## ]]\n1\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.01118875, "timestamp": "2025-09-09T22:45:47.022562", "uuid": "abd91c7e-c75e-481d-a8ff-6024714dfcb2", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `minute`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76TPH60CaoQjw7UCWgM4sxc74FQ', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\\n\\n[[ ## minute ## ]]\\n15\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\n\n[[ ## minute ## ]]\n15\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.00666875, "timestamp": "2025-09-09T22:45:47.022935", "uuid": "a15980e8-9929-4229-b7e3-ef5d394a15c8", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `hour`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76Tzq07EuvUd6NqFPi5sDlZQ1fR', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\\n\\n[[ ## hour ## ]]\\n1\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\n\n[[ ## hour ## ]]\n1\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.01118875, "timestamp": "2025-09-09T22:45:47.023794", "uuid": "dc0d82aa-15cb-444a-8a92-5081a34e48af", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `minute`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76TPH60CaoQjw7UCWgM4sxc74FQ', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\\n\\n[[ ## minute ## ]]\\n15\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\n\n[[ ## minute ## ]]\n15\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.00666875, "timestamp": "2025-09-09T22:45:47.024625", "uuid": "64706167-d1ad-41c6-919d-ad049a624b2d", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `hour`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76T11KnCZm6PV4gqeWiN0K0WXC9', created=1757479933, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe hour hand is pointing at the 10 on the clock face, so the hour is 10.\\n\\n[[ ## hour ## ]]\\n10\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe hour hand is pointing at the 10 on the clock face, so the hour is 10.\n\n[[ ## hour ## ]]\n10\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.009468750000000001, "timestamp": "2025-09-09T22:45:47.025768", "uuid": "11397f7e-cfd9-43a0-a774-e34b74fc2731", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Given the fields `clock_photo`, produce the fields `minute`."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76SqVPjCr5S9iY10Qy1IeMcYRAD', created=1757479932, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\nThe longer minute hand points at the 2 on the dial, which corresponds to 10 minutes.\\n\\n[[ ## minute ## ]]\\n10\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\nThe longer minute hand points at the 2 on the dial, which corresponds to 10 minutes.\n\n[[ ## minute ## ]]\n10\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.010098750000000002, "timestamp": "2025-09-09T22:45:47.025919", "uuid": "7554fd11-cb2e-4611-81bb-0fab23211d1e", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task\n        - Input: clock_photo (an image of an analog clock)\n        - Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n        \n        Goal\n        - Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n        \n        Step-by-step procedure\n        1) Find the dial and pivot\n        - Locate the clock face and the central pivot where all hands originate.\n        - Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n        \n        2) Determine the 12 o\u2019clock direction\n        - Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n        - If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n        \n        3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n        - Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n        - Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n        - Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n        - If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n        \n        4) Measure positions (angles)\n        - Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n        - Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n        \n        5) Use minute-hand position to validate the hour-hand location\n        - The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n        - Sanity check examples:\n          - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n          - ~30 minutes: \u2248 halfway.\n          - ~45 minutes: \u2248 3/4 of the way.\n        - If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n        \n        6) Determine the hour\n        - Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n        - Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n        - If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n        \n        7) Edge cases and robustness\n        - Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n        - Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n        - Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n        - Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n        - Return 12, not 0, when appropriate (e.g., just after 12:00).\n        \n        Output format\n        - Provide only: hour as an integer in [1,12], with no additional text.\n        \n        Common error prevention (from prior mistakes)\n        - Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n        - Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n        - Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7ARTkjo2Fn2hp7mDJTG0MdJjRl7', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- Oriented clock upright using the \u201c12\u201d at the top.\\n- Identified hands: shorter, thicker hour hand points slightly past 8; longer minute hand points to about 3 (15 minutes).\\n- With minute \u2248 15, the hour hand should be about 1/4 of the way from 8 toward 9, which matches.\\n- Last passed hour is 8.\\n\\n[[ ## hour ## ]]\\n8\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- Oriented clock upright using the \u201c12\u201d at the top.\n- Identified hands: shorter, thicker hour hand points slightly past 8; longer minute hand points to about 3 (15 minutes).\n- With minute \u2248 15, the hour hand should be about 1/4 of the way from 8 toward 9, which matches.\n- Last passed hour is 8.\n\n[[ ## hour ## ]]\n8\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.007957500000000001, "timestamp": "2025-09-09T22:45:47.058204", "uuid": "b7705712-111e-48dd-8540-80926cf35f1c", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n        \n        What to analyze\n        - Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n        - Hands identification (do not confuse them):\n          - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n          - Hour hand: shorter and thicker, typically ends near the numerals.\n          - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n          - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n        - Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n        \n        How to compute the minute\n        1. Locate the clock center and the minute hand\u2019s tip.\n        2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n        3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n           - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n           - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n        4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n           - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n           - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n           - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n        5. Edge cases:\n           - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n           - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n           - No minute ticks: Evenly interpolate between numerals.\n           - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n        \n        Output format\n        - Return only the integer minute value (0\u201359) in the minute field.\n        - If the angle computes to 60, output 0.\n        \n        Error prevention reminders\n        - Do not treat the hour hand as the minute hand.\n        - Do not use the second hand to compute minutes.\n        - Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n        - Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7ARdyH04qBQhvBityisBdtWvQ3G', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- The \u201c12\u201d is at the top; the face is upright.\\n- The longer hand reaches the outer minute ring and points to the 9 position.\\n- The shorter hour hand is near the 4, consistent with about 3:45.\\n- 9 on the dial corresponds to 45 minutes.\\n\\n[[ ## minute ## ]]\\n45\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- The \u201c12\u201d is at the top; the face is upright.\n- The longer hand reaches the outer minute ring and points to the 9 position.\n- The shorter hour hand is near the 4, consistent with about 3:45.\n- 9 on the dial corresponds to 45 minutes.\n\n[[ ## minute ## ]]\n45\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.0326675, "timestamp": "2025-09-09T22:45:47.058716", "uuid": "69e71807-0b0a-40e6-8576-908dcac161a2", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task\n        - Input: clock_photo (an image of an analog clock)\n        - Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n        \n        Goal\n        - Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n        \n        Step-by-step procedure\n        1) Find the dial and pivot\n        - Locate the clock face and the central pivot where all hands originate.\n        - Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n        \n        2) Determine the 12 o\u2019clock direction\n        - Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n        - If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n        \n        3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n        - Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n        - Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n        - Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n        - If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n        \n        4) Measure positions (angles)\n        - Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n        - Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n        \n        5) Use minute-hand position to validate the hour-hand location\n        - The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n        - Sanity check examples:\n          - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n          - ~30 minutes: \u2248 halfway.\n          - ~45 minutes: \u2248 3/4 of the way.\n        - If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n        \n        6) Determine the hour\n        - Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n        - Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n        - If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n        \n        7) Edge cases and robustness\n        - Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n        - Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n        - Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n        - Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n        - Return 12, not 0, when appropriate (e.g., just after 12:00).\n        \n        Output format\n        - Provide only: hour as an integer in [1,12], with no additional text.\n        \n        Common error prevention (from prior mistakes)\n        - Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n        - Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n        - Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE795hHSfyueLWRnKzAItXatIVYsk', created=1757480095, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; numerals upright.\\n- The longest hand points to 3 (15 minutes).\\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\\n- Therefore the last passed hour is 2.\\n\\n[[ ## hour ## ]]\\n2\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; numerals upright.\n- The longest hand points to 3 (15 minutes).\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\n- Therefore the last passed hour is 2.\n\n[[ ## hour ## ]]\n2\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.009407500000000001, "timestamp": "2025-09-09T22:45:47.059488", "uuid": "abf20fa7-eac2-4df3-8c5f-943881c2e77e", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task\n        - Input: clock_photo (an image of an analog clock)\n        - Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n        \n        Goal\n        - Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n        \n        Step-by-step procedure\n        1) Find the dial and pivot\n        - Locate the clock face and the central pivot where all hands originate.\n        - Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n        \n        2) Determine the 12 o\u2019clock direction\n        - Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n        - If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n        \n        3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n        - Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n        - Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n        - Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n        - If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n        \n        4) Measure positions (angles)\n        - Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n        - Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n        \n        5) Use minute-hand position to validate the hour-hand location\n        - The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n        - Sanity check examples:\n          - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n          - ~30 minutes: \u2248 halfway.\n          - ~45 minutes: \u2248 3/4 of the way.\n        - If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n        \n        6) Determine the hour\n        - Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n        - Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n        - If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n        \n        7) Edge cases and robustness\n        - Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n        - Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n        - Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n        - Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n        - Return 12, not 0, when appropriate (e.g., just after 12:00).\n        \n        Output format\n        - Provide only: hour as an integer in [1,12], with no additional text.\n        \n        Common error prevention (from prior mistakes)\n        - Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n        - Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n        - Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE795hHSfyueLWRnKzAItXatIVYsk', created=1757480095, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; numerals upright.\\n- The longest hand points to 3 (15 minutes).\\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\\n- Therefore the last passed hour is 2.\\n\\n[[ ## hour ## ]]\\n2\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; numerals upright.\n- The longest hand points to 3 (15 minutes).\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\n- Therefore the last passed hour is 2.\n\n[[ ## hour ## ]]\n2\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.009407500000000001, "timestamp": "2025-09-09T22:45:47.059973", "uuid": "2a0e4b56-b85e-44ea-b3f5-d71c2d7e42cb", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n        \n        What to analyze\n        - Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n        - Hands identification (do not confuse them):\n          - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n          - Hour hand: shorter and thicker, typically ends near the numerals.\n          - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n          - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n        - Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n        \n        How to compute the minute\n        1. Locate the clock center and the minute hand\u2019s tip.\n        2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n        3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n           - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n           - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n        4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n           - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n           - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n           - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n        5. Edge cases:\n           - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n           - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n           - No minute ticks: Evenly interpolate between numerals.\n           - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n        \n        Output format\n        - Return only the integer minute value (0\u201359) in the minute field.\n        - If the angle computes to 60, output 0.\n        \n        Error prevention reminders\n        - Do not treat the hour hand as the minute hand.\n        - Do not use the second hand to compute minutes.\n        - Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n        - Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7AR1QOoncOEPhyUNbjYH1NuMHLz', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; 3 at the right.\\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\\n\\n[[ ## minute ## ]]\\n16\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; 3 at the right.\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\n\n[[ ## minute ## ]]\n16\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.026247500000000003, "timestamp": "2025-09-09T22:45:47.059850", "uuid": "ef8932cf-8c71-479b-b5fa-34a3ac529231", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n        \n        What to analyze\n        - Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n        - Hands identification (do not confuse them):\n          - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n          - Hour hand: shorter and thicker, typically ends near the numerals.\n          - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n          - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n        - Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n        \n        How to compute the minute\n        1. Locate the clock center and the minute hand\u2019s tip.\n        2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n        3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n           - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n           - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n        4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n           - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n           - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n           - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n        5. Edge cases:\n           - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n           - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n           - No minute ticks: Evenly interpolate between numerals.\n           - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n        \n        Output format\n        - Return only the integer minute value (0\u201359) in the minute field.\n        - If the angle computes to 60, output 0.\n        \n        Error prevention reminders\n        - Do not treat the hour hand as the minute hand.\n        - Do not use the second hand to compute minutes.\n        - Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n        - Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7AR1QOoncOEPhyUNbjYH1NuMHLz', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; 3 at the right.\\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\\n\\n[[ ## minute ## ]]\\n16\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; 3 at the right.\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\n\n[[ ## minute ## ]]\n16\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.026247500000000003, "timestamp": "2025-09-09T22:45:47.060335", "uuid": "97962b37-9d47-4fc6-a1a7-3fd9c726d496", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n        \n        What to analyze\n        - Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n        - Hands identification (do not confuse them):\n          - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n          - Hour hand: shorter and thicker, typically ends near the numerals.\n          - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n          - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n        - Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n        \n        How to compute the minute\n        1. Locate the clock center and the minute hand\u2019s tip.\n        2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n        3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n           - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n           - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n        4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n           - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n           - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n           - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n        5. Edge cases:\n           - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n           - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n           - No minute ticks: Evenly interpolate between numerals.\n           - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n        \n        Output format\n        - Return only the integer minute value (0\u201359) in the minute field.\n        - If the angle computes to 60, output 0.\n        \n        Error prevention reminders\n        - Do not treat the hour hand as the minute hand.\n        - Do not use the second hand to compute minutes.\n        - Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n        - Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7AR1QOoncOEPhyUNbjYH1NuMHLz', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; 3 at the right.\\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\\n\\n[[ ## minute ## ]]\\n16\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; 3 at the right.\n- The longest hand reaching the outer ring points slightly past the 3 \u2192 this is the minute hand.\n- The shorter, thicker hand sits between 3 and 4, a bit more than a quarter of the way toward 4, consistent with a little after 15 minutes.\n- Angle from 12 is just over 90\u00b0, giving about 16 minutes when rounded.\n\n[[ ## minute ## ]]\n16\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.026247500000000003, "timestamp": "2025-09-09T22:45:47.068704", "uuid": "4bc35192-d5c2-44c2-9f39-6cc2d2809806", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `minute` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## minute ## ]]\n{minute}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n        \n        What to analyze\n        - Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n        - Hands identification (do not confuse them):\n          - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n          - Hour hand: shorter and thicker, typically ends near the numerals.\n          - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n          - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n        - Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n        \n        How to compute the minute\n        1. Locate the clock center and the minute hand\u2019s tip.\n        2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n        3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n           - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n           - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n        4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n           - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n           - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n           - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n        5. Edge cases:\n           - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n           - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n           - No minute ticks: Evenly interpolate between numerals.\n           - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n        \n        Output format\n        - Return only the integer minute value (0\u201359) in the minute field.\n        - If the angle computes to 60, output 0.\n        \n        Error prevention reminders\n        - Do not treat the hour hand as the minute hand.\n        - Do not use the second hand to compute minutes.\n        - Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n        - Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## minute ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7ARdyH04qBQhvBityisBdtWvQ3G', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- The \u201c12\u201d is at the top; the face is upright.\\n- The longer hand reaches the outer minute ring and points to the 9 position.\\n- The shorter hour hand is near the 4, consistent with about 3:45.\\n- 9 on the dial corresponds to 45 minutes.\\n\\n[[ ## minute ## ]]\\n45\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- The \u201c12\u201d is at the top; the face is upright.\n- The longer hand reaches the outer minute ring and points to the 9 position.\n- The shorter hour hand is near the 4, consistent with about 3:45.\n- 9 on the dial corresponds to 45 minutes.\n\n[[ ## minute ## ]]\n45\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.0326675, "timestamp": "2025-09-09T22:45:47.070201", "uuid": "d1d68567-b930-49da-b7af-1a59b064e7c4", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task\n        - Input: clock_photo (an image of an analog clock)\n        - Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n        \n        Goal\n        - Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n        \n        Step-by-step procedure\n        1) Find the dial and pivot\n        - Locate the clock face and the central pivot where all hands originate.\n        - Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n        \n        2) Determine the 12 o\u2019clock direction\n        - Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n        - If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n        \n        3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n        - Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n        - Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n        - Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n        - If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n        \n        4) Measure positions (angles)\n        - Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n        - Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n        \n        5) Use minute-hand position to validate the hour-hand location\n        - The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n        - Sanity check examples:\n          - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n          - ~30 minutes: \u2248 halfway.\n          - ~45 minutes: \u2248 3/4 of the way.\n        - If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n        \n        6) Determine the hour\n        - Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n        - Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n        - If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n        \n        7) Edge cases and robustness\n        - Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n        - Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n        - Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n        - Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n        - Return 12, not 0, when appropriate (e.g., just after 12:00).\n        \n        Output format\n        - Provide only: hour as an integer in [1,12], with no additional text.\n        \n        Common error prevention (from prior mistakes)\n        - Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n        - Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n        - Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE7ARTkjo2Fn2hp7mDJTG0MdJjRl7', created=1757480179, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- Oriented clock upright using the \u201c12\u201d at the top.\\n- Identified hands: shorter, thicker hour hand points slightly past 8; longer minute hand points to about 3 (15 minutes).\\n- With minute \u2248 15, the hour hand should be about 1/4 of the way from 8 toward 9, which matches.\\n- Last passed hour is 8.\\n\\n[[ ## hour ## ]]\\n8\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- Oriented clock upright using the \u201c12\u201d at the top.\n- Identified hands: shorter, thicker hour hand points slightly past 8; longer minute hand points to about 3 (15 minutes).\n- With minute \u2248 15, the hour hand should be about 1/4 of the way from 8 toward 9, which matches.\n- Last passed hour is 8.\n\n[[ ## hour ## ]]\n8\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.007957500000000001, "timestamp": "2025-09-09T22:45:47.070882", "uuid": "b8f0fb9f-0cc8-4c57-a69e-8c33526017a4", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `clock_photo` (Image):\nYour output fields are:\n1. `reasoning` (str): \n2. `hour` (int):\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## clock_photo ## ]]\n{clock_photo}\n\n[[ ## reasoning ## ]]\n{reasoning}\n\n[[ ## hour ## ]]\n{hour}        # note: the value you produce must be a single int value\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        Task\n        - Input: clock_photo (an image of an analog clock)\n        - Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n        \n        Goal\n        - Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n        \n        Step-by-step procedure\n        1) Find the dial and pivot\n        - Locate the clock face and the central pivot where all hands originate.\n        - Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n        \n        2) Determine the 12 o\u2019clock direction\n        - Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n        - If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n        \n        3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n        - Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n        - Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n        - Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n        - If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n        \n        4) Measure positions (angles)\n        - Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n        - Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n        \n        5) Use minute-hand position to validate the hour-hand location\n        - The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n        - Sanity check examples:\n          - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n          - ~30 minutes: \u2248 halfway.\n          - ~45 minutes: \u2248 3/4 of the way.\n        - If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n        \n        6) Determine the hour\n        - Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n        - Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n        - If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n        \n        7) Edge cases and robustness\n        - Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n        - Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n        - Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n        - Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n        - Return 12, not 0, when appropriate (e.g., just after 12:00).\n        \n        Output format\n        - Provide only: hour as an integer in [1,12], with no additional text.\n        \n        Common error prevention (from prior mistakes)\n        - Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n        - Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n        - Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3)."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## clock_photo ## ]]\n"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\n\nRespond with the corresponding output fields, starting with the field `[[ ## reasoning ## ]]`, then `[[ ## hour ## ]]` (must be formatted as a valid Python int), and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE795hHSfyueLWRnKzAItXatIVYsk', created=1757480095, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## reasoning ## ]]\\n- 12 is at the top; numerals upright.\\n- The longest hand points to 3 (15 minutes).\\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\\n- Therefore the last passed hour is 2.\\n\\n[[ ## hour ## ]]\\n2\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## reasoning ## ]]\n- 12 is at the top; numerals upright.\n- The longest hand points to 3 (15 minutes).\n- The shortest/thick hand is just past 2, about a quarter of the way toward 3, consistent with 15 minutes past.\n- Therefore the last passed hour is 2.\n\n[[ ## hour ## ]]\n2\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.009407500000000001, "timestamp": "2025-09-09T22:45:47.071958", "uuid": "1400a004-4d6b-40f2-8a76-e8a8a45d9883", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}], "reflection_lm": [{"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `current_instruction` (str): The current instruction that was provided to the assistant to perform the multimodal task\n2. `examples_with_feedback` (str): Task examples with visual content showing inputs, assistant outputs, and feedback. Pay special attention to feedback about visual analysis accuracy, visual-textual integration, and any domain-specific visual knowledge that the assistant missed.\nYour output fields are:\n1. `improved_instruction` (str): A better instruction for the assistant that addresses visual analysis issues, provides clear guidance on how to process and integrate visual and textual information, includes necessary visual domain knowledge, and prevents the visual analysis mistakes shown in the examples.\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## current_instruction ## ]]\n{current_instruction}\n\n[[ ## examples_with_feedback ## ]]\n{examples_with_feedback}\n\n[[ ## improved_instruction ## ]]\n{improved_instruction}\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        I provided an assistant with instructions to perform a task involving visual content, but the assistant's performance needs improvement based on the examples and feedback below.\n        \n        Your task is to write a better instruction for the assistant that addresses the specific issues identified in the feedback, with particular attention to how visual and textual information should be analyzed and integrated.\n        \n        ## Analysis Steps:\n        1. **Read the inputs carefully** and identify both the visual and textual input formats, understanding how they work together\n        2. **Read all the assistant responses and corresponding feedback** to understand what went wrong with visual analysis, text processing, or their integration\n        3. **Identify visual analysis patterns** - what visual features, relationships, or details are important for this task\n        4. **Identify domain-specific knowledge** about both visual and textual aspects, as this information may not be available to the assistant in the future\n        5. **Look for successful visual-textual integration strategies** and include these patterns in the instruction\n        6. **Address specific visual analysis issues** mentioned in the feedback\n        \n        ## Instruction Requirements:\n        - **Clear task definition** explaining how to process both visual and textual inputs\n        - **Visual analysis guidance** specific to this task (what to look for, how to describe, what features matter)\n        - **Integration strategies** for combining visual observations with textual information\n        - **Domain-specific knowledge** about visual concepts, terminology, or relationships\n        - **Error prevention guidance** for common visual analysis mistakes shown in the feedback\n        - **Precise, actionable language** for both visual and textual processing\n        \n        Focus on creating an instruction that helps the assistant properly analyze visual content, integrate it with textual information, and avoid the specific visual analysis mistakes shown in the examples."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## current_instruction ## ]]\nGiven the fields `clock_photo`, produce the fields `hour`.\n\n[[ ## examples_with_feedback ## ]]\n[1] \u00ab\u00ab\u00ab\n    The examples below include visual content (3 images total). Please analyze both the text and visual elements when suggesting improvements.\n    \n    # Example 1\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The hour hand is pointing at the 10 on the clock face, so the hour is 10.\n    \n    ### hour\n    10\n    \n    ## Feedback\n    Target: 8:18, Predicted: 10:10\n    \n    \n    \n    # Example 2\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\n    \n    ### hour\n    1\n    \n    ## Feedback\n    Target: 4:16, Predicted: 1:15\n    \n    \n    \n    # Example 3\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The minute hand points at 3 (15 minutes), and the shorter hour hand is just past 1. Therefore, the hour is 1.\n    \n    ### hour\n    1\n    \n    ## Feedback\n    Target: 4:16, Predicted: 1:15\n    \n    \n\u00bb\u00bb\u00bb\n[2] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\u00bb\n[3] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\u00bb\n[4] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\u00bb\n\nRespond with the corresponding output fields, starting with the field `[[ ## improved_instruction ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE76mfnk2mA8wJysppAeTXECkyOu8', created=1757479952, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## improved_instruction ## ]]\\nTask\\n- Input: clock_photo (an image of an analog clock)\\n- Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\\n\\nGoal\\n- Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\\n\\nStep-by-step procedure\\n1) Find the dial and pivot\\n- Locate the clock face and the central pivot where all hands originate.\\n- Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\\n\\n2) Determine the 12 o\u2019clock direction\\n- Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\\n- If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\\n\\n3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\\n- Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\\n- Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\\n- Hour hand: shortest, usually thicker, typically ends well inside the numerals.\\n- If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\\n\\n4) Measure positions (angles)\\n- Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\\n- Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\\n\\n5) Use minute-hand position to validate the hour-hand location\\n- The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\\n- Sanity check examples:\\n  - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\\n  - ~30 minutes: \u2248 halfway.\\n  - ~45 minutes: \u2248 3/4 of the way.\\n- If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\\n\\n6) Determine the hour\\n- Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\\n- Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\\n- If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\\n\\n7) Edge cases and robustness\\n- Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\\n- Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\\n- Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\\n- Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\\n- Return 12, not 0, when appropriate (e.g., just after 12:00).\\n\\nOutput format\\n- Provide only: hour as an integer in [1,12], with no additional text.\\n\\nCommon error prevention (from prior mistakes)\\n- Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\\n- Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\\n- Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3).\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## improved_instruction ## ]]\nTask\n- Input: clock_photo (an image of an analog clock)\n- Output: hour (an integer 1\u201312). Output only the hour number with no extra text.\n\nGoal\n- Determine the correct hour by accurately identifying the hour hand and its position relative to the hour marks, taking into account the minute hand\u2019s position (since the hour hand moves continuously between numbers).\n\nStep-by-step procedure\n1) Find the dial and pivot\n- Locate the clock face and the central pivot where all hands originate.\n- Ignore decorative elements that do not originate at the central pivot (e.g., ornaments, shadows, reflections).\n\n2) Determine the 12 o\u2019clock direction\n- Prefer the numeral \u201c12\u201d if visible. Otherwise use the upright orientation of numerals or the topmost marker.\n- If the photo is rotated, mentally rotate so numerals read upright: 12 at top, 3 right, 6 bottom, 9 left.\n\n3) Identify the hands correctly (do not assume a default \u201c10:10\u201d)\n- Second hand: thinnest, often with a counterweight, may span very long; ignore for the hour.\n- Minute hand: longest, usually reaches or nearly reaches the outer minute tick marks.\n- Hour hand: shortest, usually thicker, typically ends well inside the numerals.\n- If ambiguous, classify by tip distance from center: minute \u2265 hour. Use the piece actually anchored at the pivot, not its shadow.\n\n4) Measure positions (angles)\n- Measure each hand\u2019s angle clockwise from 12 o\u2019clock.\n- Minute angle \u03b8m \u2248 position of the minute hand; hour angle \u03b8h \u2248 position of the hour hand.\n\n5) Use minute-hand position to validate the hour-hand location\n- The hour hand advances 0.5\u00b0 per minute (i.e., 1/12 of the distance between hour marks every 5 minutes).\n- Sanity check examples:\n  - ~15 minutes past: hour hand \u2248 1/4 of the way from the current hour toward the next.\n  - ~30 minutes: \u2248 halfway.\n  - ~45 minutes: \u2248 3/4 of the way.\n- If this relationship doesn\u2019t hold, you likely swapped hour and minute hands\u2014re-identify them.\n\n6) Determine the hour\n- Compute the \u201clast passed\u201d hour: H = floor((\u03b8h mod 360) / 30). Map 0 to 12 (i.e., if floor(...) = 0, H = 12).\n- Do not round up to the next hour. The correct hour is the number the hour hand has most recently passed, not the one it is approaching.\n- If the hour hand appears exactly on an hour mark but the minute hand is not at 12, treat it as still between hours and choose the lower (last passed) hour.\n\n7) Edge cases and robustness\n- Stylized or missing numerals: rely on the 12/3/6/9 axes and tick marks rather than numeral shapes.\n- Roman numerals: \u201c4\u201d may be IIII; positions are unchanged.\n- Ignore mirrored effects, reflections, and shadows; only consider hands anchored at the pivot.\n- Overlap times: if hands nearly overlap, use \u03b8m to ensure the hour hand offset matches 0.5\u00b0 per minute.\n- Return 12, not 0, when appropriate (e.g., just after 12:00).\n\nOutput format\n- Provide only: hour as an integer in [1,12], with no additional text.\n\nCommon error prevention (from prior mistakes)\n- Do not confuse the minute hand for the hour hand; verify by length and reach to the outer tick marks.\n- Do not infer times like \u201c10:10\u201d by default; always read from the actual hand angles.\n- Ensure the hour chosen matches the \u201clast passed\u201d number given the minute hand\u2019s position (e.g., at ~:16, the hour hand must be just past the hour, not near 1 when the minute hand is at 3).\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.04242250000000001, "timestamp": "2025-09-09T22:45:47.038613", "uuid": "91004ed4-e416-4b55-882a-75f98374c29a", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}, {"prompt": null, "messages": [{"role": "system", "content": "Your input fields are:\n1. `current_instruction` (str): The current instruction that was provided to the assistant to perform the multimodal task\n2. `examples_with_feedback` (str): Task examples with visual content showing inputs, assistant outputs, and feedback. Pay special attention to feedback about visual analysis accuracy, visual-textual integration, and any domain-specific visual knowledge that the assistant missed.\nYour output fields are:\n1. `improved_instruction` (str): A better instruction for the assistant that addresses visual analysis issues, provides clear guidance on how to process and integrate visual and textual information, includes necessary visual domain knowledge, and prevents the visual analysis mistakes shown in the examples.\nAll interactions will be structured in the following way, with the appropriate values filled in.\n\n[[ ## current_instruction ## ]]\n{current_instruction}\n\n[[ ## examples_with_feedback ## ]]\n{examples_with_feedback}\n\n[[ ## improved_instruction ## ]]\n{improved_instruction}\n\n[[ ## completed ## ]]\nIn adhering to this structure, your objective is: \n        I provided an assistant with instructions to perform a task involving visual content, but the assistant's performance needs improvement based on the examples and feedback below.\n        \n        Your task is to write a better instruction for the assistant that addresses the specific issues identified in the feedback, with particular attention to how visual and textual information should be analyzed and integrated.\n        \n        ## Analysis Steps:\n        1. **Read the inputs carefully** and identify both the visual and textual input formats, understanding how they work together\n        2. **Read all the assistant responses and corresponding feedback** to understand what went wrong with visual analysis, text processing, or their integration\n        3. **Identify visual analysis patterns** - what visual features, relationships, or details are important for this task\n        4. **Identify domain-specific knowledge** about both visual and textual aspects, as this information may not be available to the assistant in the future\n        5. **Look for successful visual-textual integration strategies** and include these patterns in the instruction\n        6. **Address specific visual analysis issues** mentioned in the feedback\n        \n        ## Instruction Requirements:\n        - **Clear task definition** explaining how to process both visual and textual inputs\n        - **Visual analysis guidance** specific to this task (what to look for, how to describe, what features matter)\n        - **Integration strategies** for combining visual observations with textual information\n        - **Domain-specific knowledge** about visual concepts, terminology, or relationships\n        - **Error prevention guidance** for common visual analysis mistakes shown in the feedback\n        - **Precise, actionable language** for both visual and textual processing\n        \n        Focus on creating an instruction that helps the assistant properly analyze visual content, integrate it with textual information, and avoid the specific visual analysis mistakes shown in the examples."}, {"role": "user", "content": [{"type": "text", "text": "[[ ## current_instruction ## ]]\nGiven the fields `clock_photo`, produce the fields `minute`.\n\n[[ ## examples_with_feedback ## ]]\n[1] \u00ab\u00ab\u00ab\n    The examples below include visual content (3 images total). Please analyze both the text and visual elements when suggesting improvements.\n    \n    # Example 1\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The longer minute hand points at the 2 on the dial, which corresponds to 10 minutes.\n    \n    ### minute\n    10\n    \n    ## Feedback\n    Target: 8:18, Predicted: 10:10\n    \n    \n    \n    # Example 2\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\n    \n    ### minute\n    15\n    \n    ## Feedback\n    Target: 4:16, Predicted: 1:15\n    \n    \n    \n    # Example 3\n    ## Inputs\n    ### clock_photo\n    [IMAGE-1 - see visual content]\n    \n    ## Generated Outputs\n    ### reasoning\n    The longer minute hand is pointing directly at the 3 on the clock face, which corresponds to 15 minutes past the hour.\n    \n    ### minute\n    15\n    \n    ## Feedback\n    Target: 4:16, Predicted: 1:15\n    \n    \n\u00bb\u00bb\u00bb\n[2] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg/500px-Pendulum_clock_by_Jacob_Kock%2C_antique_furniture_photography%2C_IMG_0931_edit.jpg"}}, {"type": "text", "text": "\u00bb\n[3] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\u00bb\n[4] \u00ab"}, {"type": "image_url", "image_url": {"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a5/Telechron_clock_2H07-Br_Administrator.JPG/960px-Telechron_clock_2H07-Br_Administrator.JPG"}}, {"type": "text", "text": "\u00bb\n\nRespond with the corresponding output fields, starting with the field `[[ ## improved_instruction ## ]]`, and then ending with the marker for `[[ ## completed ## ]]`."}]}], "kwargs": {}, "response": "ModelResponse(id='chatcmpl-CE788elupjLcStrQ8q0wQ9hhf60qf', created=1757480036, model='gpt-5-2025-08-07', object='chat.completion', system_fingerprint=None, choices=[Choices(finish_reason='stop', index=0, message=Message(content='[[ ## improved_instruction ## ]]\\nTask: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\\n\\nWhat to analyze\\n- Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\\n- Hands identification (do not confuse them):\\n  - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\\n  - Hour hand: shorter and thicker, typically ends near the numerals.\\n  - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\\n  - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\\n- Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\\n\\nHow to compute the minute\\n1. Locate the clock center and the minute hand\u2019s tip.\\n2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\\n3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\\n   - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\\n   - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\\n4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\\n   - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\\n   - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\\n   - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\\n5. Edge cases:\\n   - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\\n   - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\\n   - No minute ticks: Evenly interpolate between numerals.\\n   - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\\n\\nOutput format\\n- Return only the integer minute value (0\u201359) in the minute field.\\n- If the angle computes to 60, output 0.\\n\\nError prevention reminders\\n- Do not treat the hour hand as the minute hand.\\n- Do not use the second hand to compute minutes.\\n- Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\\n- Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0).\\n\\n[[ ## completed ## ]]', role='assistant', tool_calls=None, function_call=None, provider_specific_fields={'refusal': None}, annotations=[]), provider_specific_fields={})], usage={}, service_tier='default', cache_hit=True)", "outputs": ["[[ ## improved_instruction ## ]]\nTask: From the image field clock_photo (an analog clock), output the minute value as an integer from 0\u201359 in the field minute. Output only the minute number\u2014no text or other fields.\n\nWhat to analyze\n- Clock face orientation: Identify where \u201c12\u201d is on the dial. Use the numerals (Arabic or Roman, stylized fonts) or the positions of 3, 6, 9, 12 to set the reference. If the photo is tilted, measure angles relative to the clock face, not the image frame.\n- Hands identification (do not confuse them):\n  - Minute hand: typically the longest solid hand reaching near the minute ticks/outer ring; thicker than the second hand; often has a pronounced pointer tip.\n  - Hour hand: shorter and thicker, typically ends near the numerals.\n  - Second hand (if present): the thinnest, often the longest, usually with a counterweight; ignore it for minute reading.\n  - If two non-second hands look similar, the one whose tip reaches closer to the minute tick ring is the minute hand.\n- Ticks and numerals: Each numeral-to-numeral segment equals 5 minutes. If minute tick marks exist, use them. If not, divide each numeral interval evenly into five.\n\nHow to compute the minute\n1. Locate the clock center and the minute hand\u2019s tip.\n2. Determine the angle of the minute hand from the 12 o\u2019clock direction, increasing clockwise.\n3. Convert angle to minutes: minute_estimate = (angle_from_12 / 6). Round to the nearest whole minute.\n   - Mapping: 12 \u2192 0, 1 \u2192 5, 2 \u2192 10, 3 \u2192 15, 4 \u2192 20, 5 \u2192 25, 6 \u2192 30, 7 \u2192 35, 8 \u2192 40, 9 \u2192 45, 10 \u2192 50, 11 \u2192 55.\n   - If the tip is slightly past a numeral (e.g., just past 3), do not snap to the numeral; round to the nearest minute (e.g., 16 instead of 15).\n4. Consistency check with the hour hand (useful to avoid off-by-one and hand mix-ups):\n   - The hour hand moves continuously: it advances 0.5 degrees per minute (i.e., 1/12 of the way to the next numeral every 5 minutes).\n   - If your minute_estimate is an exact multiple of 5 but the hour hand is clearly between hour markers (not aligned with an hour), re-examine: the minute hand is likely slightly past the numeral; adjust to the nearest minute accordingly.\n   - If the minute hand choice is ambiguous, infer the minute from the hour hand\u2019s fraction toward the next hour: minute \u2248 fraction_between_hour_markers \u00d7 60, then choose the hand assignment that matches this.\n5. Edge cases:\n   - Overlapping hands: Look at which tip extends farther toward the tick ring to identify the minute hand.\n   - Strong perspective or glare: Use the line from center to the visible tip; ignore reflections.\n   - No minute ticks: Evenly interpolate between numerals.\n   - Subdials or decorative elements (e.g., pendulum windows) are not the minute indicator; use the main dial only.\n\nOutput format\n- Return only the integer minute value (0\u201359) in the minute field.\n- If the angle computes to 60, output 0.\n\nError prevention reminders\n- Do not treat the hour hand as the minute hand.\n- Do not use the second hand to compute minutes.\n- Do not assume the minute hand is exactly on a numeral\u2014check for slight offsets and round to the nearest minute.\n- Ensure the final minute agrees with the hour hand\u2019s position trend (hour hand slightly past an hour implies minutes > 0).\n\n[[ ## completed ## ]]"], "usage": {}, "cost": 0.03318125, "timestamp": "2025-09-09T22:45:47.041707", "uuid": "7f89fa6e-4f69-42e7-8c6a-f8600383ca38", "model": "openai/gpt-5-2025-08-07", "response_model": "gpt-5-2025-08-07", "model_type": "chat"}]}
```