Initial Query

Let's play 20 questions! I'm thinking of an animal. You have 20 questions to guess what it is. Ask me yes or no questions, about anything you want. Do not guess randomly or make overly specific guesses. Do not make your final guess until you are absolutely sure. (You can think out loud first, but your last sentence MUST be a question.) Your answer should be of the format [question number]. [internal thought] Question: [your question]? If think you know the answer it should say Question: Is the answer [your guess]? "

LLM Generation

Query

Let's play 20 questions! I'm thinking of an animal. You have 20 questions to guess what it is. Ask me yes or no questions, about anything you want. Do not guess randomly or make overly specific guesses. Do not make your final guess until you are absolutely sure. (You can think out loud first, but your last sentence MUST be a question.) Your answer should be of the format [question number]. [internal thought] Question: [your question]? If think you know the answer it should say Question: Is the answer [your guess]? "

Output

1. I'll start by trying to get a broad idea of the animal, considering its habitat, size, and characteristics. Question: Does the animal you're thinking of live on land?

Looping until done

Iteration 0

PyFunc

Resulting in output: Does the animal you're thinking of live on land?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal you're thinking of live on land?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Since the animal lives on land, I can start to think about the possibilities of its size, diet, and other characteristics, such as whether it's a mammal, reptile, or something else, and consider factors like its limbs, body structure, and common habitats. Question: Does the animal you're thinking of have four legs?

Iteration 1

PyFunc

Resulting in output: Does the animal you're thinking of have four legs?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal you're thinking of have four legs?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. With the animal having four legs and living on land, I can start to narrow down the possibilities, thinking about common four-legged land animals, their typical sizes, diets, and whether they are carnivores, herbivores, or omnivores, and consider popular examples like dogs, cats, bears, and horses. Question: Is the animal you're thinking of a mammal?

Iteration 2

PyFunc

Resulting in output: Is the animal you're thinking of a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of a mammal?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Given that the animal is a four-legged mammal, I can consider characteristics like its body size, fur or hair type, diet, and common behaviors, thinking about how these factors might relate to its habitat and lifestyle, and start to explore different groups of mammals, such as carnivores, ungulates, or primates. Question: Does the animal you're thinking of primarily eat meat?

Iteration 3

PyFunc

Resulting in output: Does the animal you're thinking of primarily eat meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal you're thinking of primarily eat meat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. Since the animal is a four-legged mammal that doesn't primarily eat meat, I can think about herbivorous mammals, considering their digestive systems, teeth, and typical food sources, and explore groups like ungulates, rodents, or marsupials, and how their diets influence their habitats and behaviors. Question: Does the animal you're thinking of have a hooved foot?

Iteration 4

PyFunc

Resulting in output: Does the animal you're thinking of have a hooved foot?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal you're thinking of have a hooved foot?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. With the animal being a four-legged, hooved mammal that doesn't primarily eat meat, I can focus on ungulates, which include a wide range of species like horses, cows, deer, and pigs, and consider their sizes, habitats, and social behaviors, thinking about how these characteristics might help identify the specific animal. Question: Is the animal you're thinking of commonly domesticated by humans?

Iteration 5

PyFunc

Resulting in output: Is the animal you're thinking of commonly domesticated by humans?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of commonly domesticated by humans?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

7. Given that the animal is a domesticated, four-legged, hooved mammal that doesn't primarily eat meat, I can think about common domesticated ungulates like horses, cows, goats, sheep, and pigs, considering their typical uses, sizes, and temperaments, and how humans interact with them, which might help narrow down the possibilities. Question: Is the animal you're thinking of often ridden by humans?

Iteration 6

PyFunc

Resulting in output: Is the animal you're thinking of often ridden by humans?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of often ridden by humans?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. Since the animal is a domesticated, four-legged, hooved mammal that doesn't primarily eat meat and is not often ridden by humans, I can rule out horses and donkeys, and focus on other domesticated ungulates like cows, goats, sheep, and pigs, thinking about their typical uses, such as dairy or meat production, and their common habitats and behaviors. Question: Is the animal you're thinking of commonly raised for its milk or meat?

Iteration 7

PyFunc

Resulting in output: Is the animal you're thinking of commonly raised for its milk or meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of commonly raised for its milk or meat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

9. Given that the animal is a domesticated, four-legged, hooved mammal that doesn't primarily eat meat, is not often ridden by humans, and is not commonly raised for its milk or meat, I can consider other uses or roles that domesticated animals might have, such as companionship, transportation of goods, or other forms of assistance, and think about how these factors might relate to the animal's size, temperament, and behavior. Question: Is the animal you're thinking of relatively small in size?

Iteration 8

PyFunc

Resulting in output: Is the animal you're thinking of relatively small in size?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of relatively small in size?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

10. With the animal being a domesticated, four-legged, hooved mammal that is relatively small in size, doesn't primarily eat meat, is not often ridden by humans, and is not commonly raised for its milk or meat, I can think about smaller domesticated ungulates, considering their typical characteristics, behaviors, and uses, and how they interact with humans, which might help identify the specific animal. Question: Is the animal you're thinking of a pig?

Iteration 9

PyFunc

Resulting in output: Is the animal you're thinking of a pig?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of a pig?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

11. Since the animal is not a pig, I can continue to consider other small, domesticated, four-legged, hooved mammals, thinking about their sizes, behaviors, and typical roles or uses, and explore other possibilities, such as goats, sheep, or other smaller ungulates, and how they might fit the given characteristics. Question: Does the animal you're thinking of have a close relationship with humans, often being kept as a pet or for a specific purpose?

Iteration 10

PyFunc

Resulting in output: Does the animal you're thinking of have a close relationship with humans, often being kept as a pet or for a specific purpose?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal you're thinking of have a close relationship with humans, often being kept as a pet or for a specific purpose?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

12. Given that the animal is a small, domesticated, four-legged, hooved mammal that has a close relationship with humans, often being kept as a pet or for a specific purpose, I can think about animals that are commonly kept in backyard farms or as companions, considering their temperaments, sizes, and needs, and how they interact with their human caregivers, which might help narrow down the possibilities. Question: Is the animal you're thinking of a goat?

Iteration 11

PyFunc

Resulting in output: Is the animal you're thinking of a goat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal you're thinking of a goat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

13. Since the animal is not a goat, I can continue to think about other small, domesticated, four-legged, hooved mammals that are often kept as pets or for specific purposes, considering their sizes, temperaments, and typical uses, and explore other possibilities, such as miniature donkeys, llamas, or other small ungulates, and how they might fit the given characteristics. Question: Is the animal you're thinking of a pet that is commonly kept in a backyard or a small farm?

PyFunc

Resulting in output: True