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. To start, I'll ask a broad question to narrow down the type of animal. Question: Is the animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is the animal 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 a mammal?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. The animal is a mammal. I'll try to determine the size of the mammal. Question: Is the mammal larger than a human?

Iteration 1

PyFunc

Resulting in output: Is the mammal larger than a human?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

3. The mammal is smaller than a human. I'll ask about its habitat to narrow it down further. Question: Does this mammal typically live in the wild?

Iteration 2

PyFunc

Resulting in output: Does this mammal typically live in the wild?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this mammal typically live in the wild?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. The mammal is smaller than a human and lives in the wild. I'll inquire about its diet to get more specific. Question: Is the mammal a carnivore (meat-eater)?

Iteration 3

PyFunc

Resulting in output: Is the mammal a carnivore (meat-eater)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal a carnivore (meat-eater)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. The mammal is smaller than a human, lives in the wild, and is not a carnivore. I'll ask about its physical characteristics. Question: Does the mammal have a long tail?

Iteration 4

PyFunc

Resulting in output: Does the mammal have a long tail?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

6. The mammal is smaller than a human, lives in the wild, is not a carnivore, and does not have a long tail. I'll inquire about its appearance. Question: Does the mammal have fur?

Iteration 5

PyFunc

Resulting in output: Does the mammal have fur?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. The mammal is smaller than a human, lives in the wild, is not a carnivore, does not have a long tail, and has fur. I'll ask about its locomotion. Question: Does the mammal primarily move by hopping or jumping?

Iteration 6

PyFunc

Resulting in output: Does the mammal primarily move by hopping or jumping?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the mammal primarily move by hopping or jumping?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. The mammal is smaller than a human, lives in the wild, is not a carnivore, does not have a long tail, has fur, and does not primarily move by hopping or jumping. I'll ask about its social behavior. Question: Does the mammal typically live in groups or herds?

Iteration 7

PyFunc

Resulting in output: Does the mammal typically live in groups or herds?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the mammal typically live in groups or herds?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. The mammal is smaller than a human, lives in the wild, is not a carnivore, does not have a long tail, has fur, does not primarily move by hopping or jumping, and typically lives in groups or herds. I'll ask about a specific physical feature. Question: Does the mammal have antlers or horns?

Iteration 8

PyFunc

Resulting in output: Does the mammal have antlers or horns?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. The mammal is smaller than a human, lives in the wild, is not a carnivore, does not have a long tail, has fur, does not primarily move by hopping or jumping, typically lives in groups or herds, and does not have antlers or horns. I'll ask about its diet again. Question: Is the mammal primarily an herbivore (plant-eater)?

Iteration 9

PyFunc

Resulting in output: Is the mammal primarily an herbivore (plant-eater)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal primarily an herbivore (plant-eater)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

11. The mammal is smaller than a human, lives in the wild, is an herbivore, does not have a long tail, has fur, does not primarily move by hopping or jumping, typically lives in groups or herds, and does not have antlers or horns. I'll ask about its habitat again. Question: Does the mammal typically live in grasslands or savannas?

Iteration 10

PyFunc

Resulting in output: Does the mammal typically live in grasslands or savannas?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the mammal typically live in grasslands or savannas?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

12. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur, does not primarily move by hopping or jumping, typically lives in groups or herds, and does not have antlers or horns. I'll ask about a specific behavior. Question: Is the mammal known for digging underground burrows or tunnels?

Iteration 11

PyFunc

Resulting in output: Is the mammal known for digging underground burrows or tunnels?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal known for digging underground burrows or tunnels?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, and is not known for digging underground burrows or tunnels. I'll ask about another physical characteristic. Question: Does the mammal have stripes or spots on its fur?

Iteration 12

PyFunc

Resulting in output: Does the mammal have stripes or spots on its fur?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the mammal have stripes or spots on its fur?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

14. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, and is not known for digging underground burrows or tunnels. I think I have a good idea of what the animal might be, but I'll ask one more question to be sure. Question: Is the mammal known for its close social bonds and grooming behavior within its groups?

Iteration 13

PyFunc

Resulting in output: Is the mammal known for its close social bonds and grooming behavior within its groups?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal known for its close social bonds and grooming behavior within its groups?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

15. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, and is not particularly known for close social bonds and grooming behavior within its groups. Based on all the information gathered, I believe I know what the animal is. Question: Is the answer a prairie dog?

Iteration 14

PyFunc

Resulting in output: Is the answer a prairie dog?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

16. Hmm, I thought a prairie dog might fit the description, but it seems I was mistaken. Let me think about this a bit more. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, and is not particularly known for close social bonds and grooming behavior within its groups. Question: Is the mammal native to Africa?

Iteration 15

PyFunc

Resulting in output: Is the mammal native to Africa?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

17. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, is not particularly known for close social bonds and grooming behavior within its groups, and is not native to Africa. I'll ask about another physical characteristic to help narrow it down further. Question: Does the mammal have large, upright ears?

Iteration 16

PyFunc

Resulting in output: Does the mammal have large, upright ears?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the mammal have large, upright ears?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

18. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, is not particularly known for close social bonds and grooming behavior within its groups, is not native to Africa, and does not have large, upright ears. I'm starting to think it might be a mammal native to the Americas. I'll ask a question related to that. Question: Is the mammal native to North America?

Iteration 17

PyFunc

Resulting in output: Is the mammal native to North America?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

19. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, is not particularly known for close social bonds and grooming behavior within its groups, is not native to Africa, does not have large, upright ears, and is not native to North America. Based on the information provided, I believe I know what the animal is. Question: Is the answer a mara?

Iteration 18

PyFunc

Resulting in output: Is the answer a mara?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

20. The mammal is smaller than a human, lives in the wild in grasslands or savannas, is an herbivore, does not have a long tail, has fur without stripes or spots, does not primarily move by hopping or jumping, typically lives in groups or herds, does not have antlers or horns, is not known for digging underground burrows or tunnels, is not particularly known for close social bonds and grooming behavior within its groups, is not native to Africa, does not have large, upright ears, and is not native to North America. I'm afraid I'm running out of questions, but I'll take one more shot at guessing the animal. Question: Is the answer a capybara?

Iteration 19

PyFunc

Resulting in output: Is the answer a capybara?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

I'm afraid I couldn't guess the animal within the 20 questions. Thank you for playing the game with me! Would you please tell me what animal you were thinking of? I'm really curious to know the answer.

PyFunc

Resulting in output: False

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. To start narrowing it down, I'll ask about the animal's general characteristics. Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Okay, the animal is a mammal. I'll ask about its size next. Question: Is it larger than a human?

Iteration 1

PyFunc

Resulting in output: Is it larger than a human?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a human?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. So it's a large mammal. I wonder about its habitat. Question: Does it live in the ocean?

Iteration 2

PyFunc

Resulting in output: Does it live in the ocean?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

4. It's a large land mammal then. I'll inquire about its diet. Question: Is it an herbivore (plant-eater)?

Iteration 3

PyFunc

Resulting in output: Is it an herbivore (plant-eater)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it an herbivore (plant-eater)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

5. A large, herbivorous land mammal. I'm picturing hoofed animals. Question: Does it have hooves?

Iteration 4

PyFunc

Resulting in output: Does it have hooves?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

6. Interesting, a large land mammal with no hooves. I'll ask about another distinguishing feature. Question: Does it have a long neck?

Iteration 5

PyFunc

Resulting in output: Does it have a long neck?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a long neck?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. A large, long-necked, herbivorous land mammal with no hooves. I have a guess but I should confirm a couple more details. Question: Does it have a spotted coat?

Iteration 6

PyFunc

Resulting in output: Does it have a spotted coat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a spotted coat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. Not a giraffe then. The other long-necked mammal that comes to mind is a camelid. Question: Is it a camel or llama?

PyFunc

Resulting in output: True

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. To start, I'll ask a broad question to narrow down the category of animal. Question: Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is it a mammal?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Since it is a mammal, I'll try to determine if it is a common pet or farm animal. Question: Is it a common household pet?

Iteration 1

PyFunc

Resulting in output: Is it a common household pet?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a common household pet?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

3. It's a mammal but not a pet, so perhaps it's a farm animal or wild animal. I'll check if it's domesticated. Question: Is it a farm animal that is typically raised for meat, dairy, or other agricultural purposes?

Iteration 2

PyFunc

Resulting in output: Is it a farm animal that is typically raised for meat, dairy, or other agricultural purposes?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a farm animal that is typically raised for meat, dairy, or other agricultural purposes?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

4. The animal is a mammal but not a pet or farm animal, so it must be a wild animal. I'll try to determine its size. Question: Is it larger than a human?

Iteration 3

PyFunc

Resulting in output: Is it larger than a human?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it larger than a human?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

5. It's a large wild mammal. I'll try to determine what kind of habitat it lives in. Question: Does it live in a cold climate, such as in the Arctic or Antarctica?

Iteration 4

PyFunc

Resulting in output: Does it live in a cold climate, such as in the Arctic or Antarctica?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it live in a cold climate, such as in the Arctic or Antarctica?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. A large wild mammal that doesn't live in a cold climate. I'll ask about another potential habitat. Question: Does it live in the savanna or grasslands of Africa?

Iteration 5

PyFunc

Resulting in output: Does it live in the savanna or grasslands of Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it live in the savanna or grasslands of Africa?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

7. Not a cold climate or African savanna mammal. Perhaps it lives in forests or jungles. Question: Does it spend most of its time in trees?

Iteration 6

PyFunc

Resulting in output: Does it spend most of its time in trees?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it spend most of its time in trees?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. A large wild mammal that doesn't live in cold climates, African savannas, or trees. Maybe it prefers other habitats. Question: Does it live in or near the water, such as rivers, lakes, or oceans?

Iteration 7

PyFunc

Resulting in output: Does it live in or near the water, such as rivers, lakes, or oceans?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it live in or near the water, such as rivers, lakes, or oceans?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. It seems to be a large land mammal. I'll try to narrow down the type of land habitat. Question: Does it typically live in mountainous regions?

Iteration 8

PyFunc

Resulting in output: Does it typically live in mountainous regions?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it typically live in mountainous regions?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

10. A large wild mammal that lives in mountainous regions. I'll ask about a distinguishing feature of mountain-dwelling mammals. Question: Does it have horns or antlers?

Iteration 9

PyFunc

Resulting in output: Does it have horns or antlers?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have horns or antlers?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

11. A large, hornless, wild mammal living in mountains. I'll inquire about its diet. Question: Is it a predator that primarily hunts other animals for food?

Iteration 10

PyFunc

Resulting in output: Is it a predator that primarily hunts other animals for food?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a predator that primarily hunts other animals for food?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

12. It's a large, hornless, wild mammal that lives in mountains and is not a predator. I'll ask about another physical characteristic. Question: Does it have a thick, shaggy coat of fur?

Iteration 11

PyFunc

Resulting in output: Does it have a thick, shaggy coat of fur?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does it have a thick, shaggy coat of fur?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. A large, shaggy-furred, herbivorous mammal living in mountains. I have a guess, but I'll ask one more question to be sure. Question: Is it closely related to or resembling a bear?

Iteration 12

PyFunc

Resulting in output: Is it closely related to or resembling a bear?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it closely related to or resembling a bear?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

14. Hmm, not closely related to a bear. I'll need to rethink my guess. Let's see if it's related to another large, shaggy-furred mammal. Question: Is it a type of bovine, like a yak or bison?

Iteration 13

PyFunc

Resulting in output: Is it a type of bovine, like a yak or bison?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is it a type of bovine, like a yak or bison?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

15. Not a bear or bovine. I'll ask about another distinguishing feature of some mountain mammals. Question: Does it have a long neck and legs, similar to a llama or camel?

PyFunc

Resulting in output: True

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

Okay, let's play! I'll do my best to figure out the animal you're thinking of by asking up to 20 yes-or-no questions. I'll share my reasoning along the way, but will only make a final guess when I'm confident I know the answer. 1. Since there are animals that live on land, in water, and that can fly, knowing the animal's habitat will help narrow things down. Question: Does this animal live primarily on land?

Looping until done

Iteration 0

PyFunc

Resulting in output: Does this animal live primarily on land?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this animal live primarily 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. Knowing the animal is primarily land-dwelling rules out fish, most aquatic mammals, and other marine life. I'm still considering birds, land mammals, reptiles, amphibians, and some insects. Question: Is the animal a mammal?

Iteration 1

PyFunc

Resulting in output: Is the animal 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 a mammal?. 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 being a land mammal, this excludes birds, reptiles, amphibians and insects. Mammal characteristics include hair/fur, giving live birth, and producing milk. Size can further narrow this down. Question: Is the animal larger than a typical house cat?

Iteration 2

PyFunc

Resulting in output: Is the animal larger than a typical house cat?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. The animal being a land mammal larger than a house cat rules out most rodents, small mammals, and even mid-sized mammals like raccoons or skunks. I'm now thinking of larger land mammals like dogs, big cats, bears, deer, horses, etc. Question: Is the animal a carnivore (primarily meat-eating)?

Iteration 3

PyFunc

Resulting in output: Is the animal a carnivore (primarily meat-eating)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal a carnivore (primarily meat-eating)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. The animal being a large land mammal that is not a carnivore suggests it is likely an herbivore, or possibly an omnivore. This could include grazing mammals like deer, antelope, cows, horses, as well as other plant-eaters like elephants, rhinos, etc. Omnivores like bears are less likely. Question: Does the animal have hooves?

Iteration 4

PyFunc

Resulting in output: Does the animal have hooves?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. A large, non-carnivorous land mammal without hooves rules out grazing mammals like horses, deer, antelope, cows, etc. I'm now thinking of herbivorous or omnivorous mammals that have feet rather than hooves, such as elephants, rhinos, koalas, pandas, primates, etc. Question: Does the animal have a prehensile tail (can grip objects with its tail)?

Iteration 5

PyFunc

Resulting in output: Does the animal have a prehensile tail (can grip objects with its tail)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does the animal have a prehensile tail (can grip objects with its tail)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

7. The lack of a prehensile tail eliminates some primates like monkeys. We're looking at a large, non-hoofed, non-carnivorous land mammal without a gripping tail. Potential candidates include elephants, rhinos, bears, great apes, hippos, large marsupials, etc. Question: Does the animal have a trunk?

Iteration 6

PyFunc

Resulting in output: Does the animal have a trunk?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. The animal not having a trunk rules out elephants and tapirs. We're still looking at a fairly large herbivorous or omnivorous mammal without hooves, a prehensile tail, or a trunk. Remaining possibilities include rhinos, hippos, bears, great apes like gorillas, and some large marsupials. Question: Is the animal's skin covered in fur/hair?

Iteration 7

PyFunc

Resulting in output: Is the animal's skin covered in fur/hair?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal's skin covered in fur/hair?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. The animal having fur or hair eliminates rhinos and hippos, which have thick, mostly hairless skin. We're now likely looking at a large, furry, non-hoofed mammal without a trunk or prehensile tail. This could include bears, non-monkey primates like great apes, and some marsupials. Question: Is the animal a primate (apes, monkeys, lemurs, etc.)?

Iteration 8

PyFunc

Resulting in output: Is the animal a primate (apes, monkeys, lemurs, etc.)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal a primate (apes, monkeys, lemurs, etc.)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

10. With primates excluded, and given the animal's large size, fur covering, and herbivorous/omnivorous diet, a bear seems the most likely candidate at this point. There are several bear species including black bears, brown bears (of which grizzlies are a subspecies), polar bears, and pandas. Question: Is the animal a bear?

Iteration 9

PyFunc

Resulting in output: Is the animal a bear?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

11. This is quite surprising, as a bear seemed to fit all the previous criteria. Let me think about what other large, furry, non-hoofed, non-primate, herbivorous/omnivorous land mammals there could be. Perhaps we're looking at a marsupial like a kangaroo or koala, or maybe a giant anteater or sloth. Question: Is the animal a marsupial (carries young in a pouch)?

Iteration 10

PyFunc

Resulting in output: Is the animal a marsupial (carries young in a pouch)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal a marsupial (carries young in a pouch)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

12. Okay, so marsupials are ruled out too. We're looking for a large, furry, non-hoofed, non-primate, non-marsupial land mammal with a herbivorous or omnivorous diet, no trunk or prehensile tail, and that isn't a bear. This is getting tricky! Let me think about some other possibilities. Question: Does the animal have a long snout or elongated nose?

Iteration 11

PyFunc

Resulting in output: Does the animal have a long snout or elongated nose?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

13. The lack of a long snout or elongated nose eliminates animals like anteaters and sloths. I'm really wracking my brain now for what other large, furry, herbivorous/omnivorous land mammals are left that fit all these criteria. Perhaps we need to reconsider some of the previous characteristics. Question: Is the animal domesticated or commonly kept as livestock?

Iteration 12

PyFunc

Resulting in output: Is the animal domesticated or commonly kept as livestock?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. Aha! The animal being domesticated or commonly kept as livestock opens up some new possibilities that I hadn't considered before, like llamas, alpacas, camels, or even domesticated pigs. These animals fit the criteria of being large, furry, non-hoofed, herbivorous or omnivorous, without a trunk, prehensile tail, or long snout. Question: Is the animal a camelid (camel, llama, alpaca, etc.)?

PyFunc

Resulting in output: True

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. To start, I'll ask a broad question to narrow down the category of animal. Question: Is the animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is the animal 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 a mammal?. 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 is a mammal, I'll try to determine its size. Question: Is the animal larger than a house cat?

Iteration 1

PyFunc

Resulting in output: Is the animal larger than a house cat?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. The animal is a mammal larger than a house cat. I'll ask about its habitat to narrow it down further. Question: Does the animal typically live in the wild?

Iteration 2

PyFunc

Resulting in output: Does the animal typically live in the wild?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. The animal is a wild mammal larger than a house cat. I'll inquire about a distinguishing feature common to many large mammals. Question: Does the animal have horns or antlers?

Iteration 3

PyFunc

Resulting in output: Does the animal have horns or antlers?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. The animal is a large wild mammal without horns or antlers. I'll ask about another distinguishing feature. Question: Does the animal have a long tail?

Iteration 4

PyFunc

Resulting in output: Does the animal have a long tail?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

6. The animal is a large wild mammal without horns, antlers, or a long tail. I'll try to determine its color. Question: Is the animal's fur or skin primarily gray in color?

Iteration 5

PyFunc

Resulting in output: Is the animal's fur or skin primarily gray in color?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal's fur or skin primarily gray in color?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. The animal is a large, gray, wild mammal without horns, antlers, or a long tail. I'll ask about its diet to narrow down the possibilities. Question: Is the animal primarily an herbivore (plant-eater)?

Iteration 6

PyFunc

Resulting in output: Is the animal primarily an herbivore (plant-eater)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal primarily an herbivore (plant-eater)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

8. The animal is a large, gray, wild, herbivorous mammal without horns, antlers, or a long tail. I'll ask about its body shape to further narrow down the options. Question: Does the animal have a trunk?

Iteration 7

PyFunc

Resulting in output: Does the animal have a trunk?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

9. The animal is a large, gray, wild, herbivorous mammal without horns, antlers, a long tail, or a trunk. I'll inquire about its habitat preferences to help identify it. Question: Does the animal typically live in mountainous regions?

Iteration 8

PyFunc

Resulting in output: Does the animal typically live in mountainous regions?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

10. The animal is a large, gray, wild, herbivorous mammal that lives in mountainous regions and lacks horns, antlers, a long tail, and a trunk. I believe I may know the answer, but I'll ask one more question to be certain. Question: Is the animal known for its thick, woolly fur that helps it withstand cold temperatures?

Iteration 9

PyFunc

Resulting in output: Is the animal known for its thick, woolly fur that helps it withstand cold temperatures?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal known for its thick, woolly fur that helps it withstand cold temperatures?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

Based on the information provided, I believe I can confidently identify the animal. Question: Is the answer a mountain goat?

Iteration 10

PyFunc

Resulting in output: Is the answer a mountain goat?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

11. Hmm, it seems my guess was incorrect. I'll need to rethink my approach. Let's see if the animal has any other distinctive physical features. Question: Does the animal have a large, muscular body with short legs?

Iteration 11

PyFunc

Resulting in output: Does the animal have a large, muscular body with short legs?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

12. The animal is a large, gray, wild, herbivorous mammal that lives in mountainous regions, lacks horns, antlers, a long tail, and a trunk, and doesn't have a large, muscular body with short legs. I'll inquire about another physical characteristic. Question: Does the animal have long, pointed ears?

Iteration 12

PyFunc

Resulting in output: Does the animal have long, pointed ears?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. The animal is a large, gray, wild, herbivorous mammal that lives in mountainous regions, lacks horns, antlers, a long tail, a trunk, large muscular body with short legs, and long pointed ears. I'll ask about its face to narrow down the possibilities. Question: Does the animal have a long, narrow snout?

Iteration 13

PyFunc

Resulting in output: Does the animal have a long, narrow snout?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

14. The animal is a large, gray, wild, herbivorous mammal that lives in mountainous regions, lacks horns, antlers, a long tail, a trunk, a large muscular body with short legs, long pointed ears, and a long, narrow snout. I'll ask about its coat to help identify it. Question: Does the animal have a shaggy, thick coat?

Iteration 14

PyFunc

Resulting in output: Does the animal have a shaggy, thick coat?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

15. The animal is a large, gray, wild, herbivorous mammal that lives in mountainous regions, has a shaggy, thick coat, and lacks horns, antlers, a long tail, a trunk, a large muscular body with short legs, long pointed ears, and a long, narrow snout. I believe I have enough information to make an educated guess. Question: Is the answer a yak?

Iteration 15

PyFunc

Resulting in output: Is the answer a yak?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

16. It seems I'm still missing some key information. Let's try to narrow it down further by asking about its geographical distribution. Question: Is the animal native to the mountains of South America?

Iteration 16

PyFunc

Resulting in output: Is the animal native to the mountains of South America?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

17. The animal is a large, gray, wild, herbivorous mammal native to the mountains of South America. It has a shaggy, thick coat and lacks horns, antlers, a long tail, a trunk, a large muscular body with short legs, long pointed ears, and a long, narrow snout. I believe I have enough information to make a confident guess. Question: Is the answer a llama?

PyFunc

Resulting in output: True