Openhosta

- **Fixes**
- the `emulate` function is now decorator-resistant.
- The function `config.set_default_model` works now w/ `config.set_default_apiKey`
- `thought` function now accept multiple arguments
- `suggest` and `analytics` call now th LLM with `Model` class (`ai_call`)
- `emulate` works now in a nested function.
- Added Flask compatibility

- **Enhancement**
- the `thought` function guess automatically his return type with LLM
- `suggest` return now his data returned by LLM in a dict
- `emulate` works now for class methods
- `emulate` now integrate locals variable of emulated function to the LLM prompt.
- `_hostacache_` are now available for function infos storage
- Added support for the **typing** module: You can now use specific return types from the typing module, including [List, Dict, Tuple, Set, FrozenSet, Deque, Iterable, Sequence, Mapping, Union, Optional, Literal].
- `emulate` now includes a verification output that checks and converts the output to the specified type if necessary. Supported types include **Pydantic** models, all types from the **typing** module mentioned above, as well as built-in types such as `dict`, `int`, `float`, `str`, `list`, `set`, `frozenset`, `tuple`, and `bool`.
- The `complex` type is not supported. If you need to use complex numbers, please pass them as a `tuple` and manually convert them after processing.
- The return type predicted by `thought` is now attached as an attribute to the object created: `_return_type`.
- Added a `_last_request` attribute to an emulated function giving access to the prompt sent to the LLM.

- **Features**
- `example` function that can add some example for a specified hosta-injected function (inside or outside it) and add it to the cache
- `save_examples` function that can save in a JSONL file all he example of an hosta-injected function
- `load_examples` function that can load an example file an a cache for an hosta-injected function
- `set_prompt` in `PromptManager` enables to change automatically a prompt un "prompt.json"

- **Optimization**
- `emulate` prompt changed: confidence level removed: (~20% speed gained) (`emulate`: v1.1)
- All prompt enhanced: added code block, separator and reference to the name of the processed function (`emulate`: v1.2, `enhance` v1.2, `thought`: v1.1, `estimate`: v1.1)

- **Internal**
- Functional tests have been added for each of the library's features

- **Doc**
- Documentation now integrates Google Cobal link

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- **Feature**
- Added `suggest` function. Works the same as the `__suggest__` attributs but in a function

- **Doc**
- Many inconsistencies and errors corrected.

- **Internal**
- Added Github workflows for linting, formating and testing when pushing to dev and main

- **Fixes**
- `suggest` attribute `diagramm` is now `diagram`

- **Fixes**
- `emulate` now works when emulated function is called inside another one
- `emulate` works now with `lru_cache` decorator from `functools` module

- **Internal**
- Added custom Exception classes for request and frame errors.
- Added a loop to find the frame in `_extend_scope`
- Added a Makefile for cleaning and packaging and tests
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- **Features**
- Function *emulate* to emulate a function by LLM.
- Pydantic typing compatibility with *emulate*.
- Function *thought* replicating the behavior of a lambda.
- Configuration system allowing all LLM with class inheritance.
- *\_\_suggest\_\_* attribute giving advice to improve a prompt.
- **Fixes**
- **Changes**
- **Optimizations**
- **Internal**

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