Agent Context aware

https://www.pexels.com/photo/close-up-photo-of-woman-wearing-facemask-4192915/

We are testing if LLM is able to understand the context of a message. For example, if a patient mentions "my heartbeat is irregular", it is able to reason that the patient has a heart condition and need to see a Cardiology".

The source code is in here.  And we are just using baseline prompt (here). LLM responded well with the following examples

python -m agent_context_aware.main -m "experience sensitivity to light, loss of
appetite, facial pain and pressure, dizziness, and blurred vision."

```json
{
    "response": "Based on your symptoms of sensitivity to light, facial pain and
    pressure, dizziness, and blurred vision, it is advisable to consult with a
    neurologist. They can help diagnose and manage conditions that might be causing
    these symptoms.",
    "medical_professional": "Neurology"
}
```

python -m agent_context_aware.main -m "In most cases, a cough happens
voluntarily or involuntarily to clear the throat and airways of irritants.
If there is a serious underlying condition, other symptoms such as worsening
cough, swelling in the neck, changes in the voice and difficulty breathing may
also be seen."

```json
{
    "response": "Based on your symptoms of worsening cough, swelling in the neck,
    changes in the voice, and difficulty breathing, it would be advisable to
    consult a specialist to rule out any serious underlying conditions. An
    otolaryngologist, also known as an ENT specialist, can help diagnose and
    treat issues related to the throat and airways.",
    "medical_professional": "Otolaryngology"
}
```

python -m agent_context_aware.main -m "my son is not feeling well"

```json
{
    "response": "I recommend scheduling an appointment with a pediatrician who can
    evaluate your son's symptoms and provide the appropriate care.",
    "medical_professional": "Pediatrics"
}
```