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. Let me start with a broad category question to narrow it down. Question: Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is this animal a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this 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. Good, it's a mammal. Let me narrow down the size range. Question: Is this animal larger than a house cat?

Iteration 1

PyFunc

Resulting in output: Is this 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 this 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. Larger than a cat. Could be many things - let's check habitat. Question: Does this animal primarily live on land (as opposed to water or air)?

Iteration 2

PyFunc

Resulting in output: Does this animal primarily live on land (as opposed to water or air)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this animal primarily live on land (as opposed to water or air)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. A land mammal bigger than a cat. Let's check if it's a wild or domestic animal. Question: Is this animal commonly kept as a domestic pet or farm animal?

Iteration 3

PyFunc

Resulting in output: Is this animal commonly kept as a domestic pet or farm animal?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

5. A domestic mammal bigger than a cat. Could be a dog, horse, cow, pig, sheep, goat... Let's narrow this down. Question: Is this animal primarily kept for agricultural purposes (like food or products)?

Iteration 4

PyFunc

Resulting in output: Is this animal primarily kept for agricultural purposes (like food or products)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal primarily kept for agricultural purposes (like food or products)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. A farm animal used for agricultural purposes. This really helps narrow it down. Let's check about food production. Question: Is this animal primarily raised for meat production?

Iteration 5

PyFunc

Resulting in output: Is this animal primarily raised for meat production?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

7. A farm animal not primarily for meat... so likely for other products like milk, wool, or labor. Let's investigate. Question: Does this animal produce milk for human consumption?

Iteration 6

PyFunc

Resulting in output: Does this animal produce milk for human consumption?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this animal produce milk for human consumption?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

8. A milk-producing farm animal. We're getting close - this is most likely either a cow or a goat. Let's confirm the size. Question: Is this animal larger than an adult human?

Iteration 7

PyFunc

Resulting in output: Is this animal larger than an adult human?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. A large milk-producing farm animal bigger than a human. I'm fairly confident now, but let me ask one more question to be absolutely certain. Question: Is the answer a cow?

Iteration 8

PyFunc

Resulting in output: Is the answer a cow?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. I was too hasty! A large milk-producing farm animal that's not a cow... interesting. Let's think about other possibilities. Question: Is this animal known for traveling through challenging mountain terrain?

Iteration 9

PyFunc

Resulting in output: Is this animal known for traveling through challenging mountain terrain?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal known for traveling through challenging mountain terrain?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

11. Ah! Now I'm thinking of a different type of large dairy animal that's known for mountain regions. Question: Is the answer a yak?

Iteration 10

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

12. Hmm, still not right. A large milk-producing mountain animal... Let's consider if it's used for other purposes too. Question: Is this animal traditionally used to carry heavy loads or for transportation in mountainous regions?

Iteration 11

PyFunc

Resulting in output: Is this animal traditionally used to carry heavy loads or for transportation in mountainous regions?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal traditionally used to carry heavy loads or for transportation 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

13. Getting closer! A large, milk-producing pack animal used in mountains. This is narrowing down significantly... Question: Is this animal known for having a distinctive hump (or humps) on its back?

Iteration 12

PyFunc

Resulting in output: Is this animal known for having a distinctive hump (or humps) on its back?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal known for having a distinctive hump (or humps) on its back?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

14. A large, mountain-dwelling pack animal without a hump. Now I'm fairly confident. Question: Is the answer a 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. Let me start with a broad category. Question: Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is this animal a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this 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. Good, that narrows it down. Let me determine if it's a common/domestic animal or something more exotic. Question: Is this animal commonly kept as a pet?

Iteration 1

PyFunc

Resulting in output: Is this animal commonly kept as a pet?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

3. Hmm, so it's a wild mammal. Let's determine its size category. Question: Is this animal larger than a human?

Iteration 2

PyFunc

Resulting in output: Is this animal 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 this animal 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

4. A large wild mammal. Could be a variety of things - let's check its habitat. Question: Does this animal primarily live in Africa?

Iteration 3

PyFunc

Resulting in output: Does this animal primarily live in Africa?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. Not African. Let's narrow down the geographic location further. Question: Does this animal live in North America?

Iteration 4

PyFunc

Resulting in output: Does this animal live in North America?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

6. Not North America either. Let's continue with geography. Question: Does this animal live in Asia?

Iteration 5

PyFunc

Resulting in output: Does this animal live in Asia?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

7. Interesting. Let's check the remaining major continents. Question: Does this animal live in Europe?

Iteration 6

PyFunc

Resulting in output: Does this animal live in Europe?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. Process of elimination suggests South America, Australia, or Arctic/Antarctic regions. Let's confirm the climate. Question: Does this animal live in a cold climate?

Iteration 7

PyFunc

Resulting in output: Does this animal live in a cold climate?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

9. So likely South America or Australia. Let's narrow this down. Question: Does this animal live in Australia?

Iteration 8

PyFunc

Resulting in output: Does this animal live in Australia?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. Ah, so it must be a large South American mammal. Let's determine its diet. Question: Is this animal an herbivore?

Iteration 9

PyFunc

Resulting in output: Is this animal an herbivore?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

11. A large South American herbivorous mammal. Getting closer! Let's check a distinctive feature. Question: Does this animal have a long neck?

Iteration 10

PyFunc

Resulting in output: Does this animal 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 this animal 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

12. Ah, I think I know what this is, but let me confirm a few more details to be absolutely sure. Question: Does this animal belong to the camelid family?

Iteration 11

PyFunc

Resulting in output: Does this animal belong to the camelid family?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. We're very close now. There are just a few possibilities. Let's confirm one key feature. Question: Does this animal have woolly fur?

Iteration 12

PyFunc

Resulting in output: Does this animal have woolly fur?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. I'm quite confident now, but let me ask one final question to be completely certain. Question: Is the answer 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. Let me start with a basic classification question to narrow down the broad category. Question: Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is this animal a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this 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. Good, that narrows it down significantly. Let me determine if it's a common type of mammal. Question: Is this animal commonly kept as a pet?

Iteration 1

PyFunc

Resulting in output: Is this animal commonly kept as a pet?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

3. That eliminates many domestic animals. Let's determine its habitat. Question: Does this animal live primarily in the wild?

Iteration 2

PyFunc

Resulting in output: Does this animal live primarily 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 animal live primarily 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. Now let's narrow down the geographical location. Question: Is this animal native to Africa?

Iteration 3

PyFunc

Resulting in output: Is this animal native to Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal 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

5. That eliminates many large African mammals. Let's try another continent. Question: Is this animal native to North America?

Iteration 4

PyFunc

Resulting in output: Is this animal 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 this animal 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

6. Interesting. Let's try to determine its size category. Question: Is this animal larger than a human?

Iteration 5

PyFunc

Resulting in output: Is this animal 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 this animal 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

7. A large non-African mammal that's not from North America. Let me check its habitat type. Question: Does this animal live in or near water?

Iteration 6

PyFunc

Resulting in output: Does this animal live in or near water?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. Large land mammal. Let's determine its diet. Question: Is this animal a carnivore?

Iteration 7

PyFunc

Resulting in output: Is this animal a carnivore?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

9. A large herbivorous mammal, not from Africa or North America, not aquatic. Starting to form a picture. Question: Is this animal native to Asia?

Iteration 8

PyFunc

Resulting in output: Is this animal native to Asia?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. That leaves primarily South America or Australia/Oceania. Let's narrow this down. Question: Is this animal native to South America?

Iteration 9

PyFunc

Resulting in output: Is this animal native to South America?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

11. A large South American herbivorous mammal. Getting closer. Question: Does this animal have a long neck?

Iteration 10

PyFunc

Resulting in output: Does this animal 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 this animal 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

12. Hmm, a large South American herbivore with a long neck. I'm starting to have a strong suspicion, but let me confirm. Question: Does this animal have wool or fur that humans use commercially?

Iteration 11

PyFunc

Resulting in output: Does this animal have wool or fur that humans use commercially?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this animal have wool or fur that humans use commercially?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. I'm getting very close now. I think I know what it is, but let me verify one more characteristic. Question: Does this animal belong to the camelid family?

Iteration 12

PyFunc

Resulting in output: Does this animal belong to the camelid family?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. At this point, I'm quite confident, but let me make one final confirmation. Question: Is the answer a 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. Let me start with a broad category question to narrow down the type of animal. Question: Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is this animal a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this 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. This helps narrow it down significantly. Let me determine if it's a common or exotic animal. Question: Is this animal commonly kept as a pet?

Iteration 1

PyFunc

Resulting in output: Is this animal commonly kept as a pet?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

3. So it's a wild mammal. Let's determine its size category. Question: Is this animal larger than a human?

Iteration 2

PyFunc

Resulting in output: Is this animal 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 this animal 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

4. A large wild mammal. Could be land or marine based. Let's clarify that. Question: Does this animal live primarily on land (as opposed to water)?

Iteration 3

PyFunc

Resulting in output: Does this animal live primarily on land (as opposed to water)?

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 (as opposed to water)?. 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 land mammal. Could be anything from a big cat to an elephant. Let's check its diet. Question: Is this animal a carnivore?

Iteration 4

PyFunc

Resulting in output: Is this animal a carnivore?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

6. Large herbivorous land mammal. This is starting to create a clearer picture. Let's check its habitat. Question: Is this animal native to Africa?

Iteration 5

PyFunc

Resulting in output: Is this animal native to Africa?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal 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

7. Large herbivorous land mammal, not from Africa. Could be from Americas, Asia, or Europe. Let's narrow the geography. Question: Is this animal native to North America?

Iteration 6

PyFunc

Resulting in output: Is this animal 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 this animal 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

8. Large herbivorous land mammal, not from Africa or North America. Could be from Asia, Europe, or South America. Let's narrow by distinctive features. Question: Does this animal have horns or antlers?

Iteration 7

PyFunc

Resulting in output: Does this 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 this 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

9. Hmm, a large herbivorous land mammal without horns/antlers, not from Africa or North America. Could be something like a tapir, sloth, or certain Asian mammals. Let's check coloring. Question: Is this animal primarily brown in color?

Iteration 8

PyFunc

Resulting in output: Is this animal primarily brown in color?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal primarily brown in color?. 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 brown herbivorous mammal without horns. Getting closer. Let's check its movement characteristics. Question: Can this animal climb trees?

Iteration 9

PyFunc

Resulting in output: Can this animal climb trees?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

11. Large, brown, ground-dwelling herbivorous mammal. Let's check about distinguishing features. Question: Does this animal have a noticeably long neck?

Iteration 10

PyFunc

Resulting in output: Does this animal have a noticeably long neck?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

12. Large, brown herbivore with a long neck, can't climb trees, not from Africa or North America... I have a strong suspicion, but let me confirm some details. Question: Is this animal found in South America?

Iteration 11

PyFunc

Resulting in output: Is this animal found in South America?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. Large, brown herbivore with a long neck in South America... I'm getting very close. Just need to confirm one more detail. Question: Does this animal have a woolly coat?

Iteration 12

PyFunc

Resulting in output: Does this animal have a woolly coat?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. A large, brown, woolly herbivore with a long neck from South America - I'm quite confident now. Question: Is the answer a 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

Let me start with a broad question to narrow down the classification. 1. Let's first determine if this is a vertebrate or invertebrate. Question: Is this animal a vertebrate (does it have a backbone)?

Looping until done

Iteration 0

PyFunc

Resulting in output: Is this animal a vertebrate (does it have a backbone)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal a vertebrate (does it have a backbone)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

2. Good, so it's a vertebrate. Let's determine which class it belongs to. Question: Is this animal a mammal?

Iteration 1

PyFunc

Resulting in output: Is this animal a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this 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. Excellent, we've narrowed it to mammals. Let's determine its general size category. Question: Is this animal larger than a house cat?

Iteration 2

PyFunc

Resulting in output: Is this 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 this 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

4. This helps narrow it down. Let's determine if it's a wild or domestic animal. Question: Is this a wild animal (not typically kept as a pet or farm animal)?

Iteration 3

PyFunc

Resulting in output: Is this a wild animal (not typically kept as a pet or farm animal)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this a wild animal (not typically kept as a pet or farm animal)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. So it's a domesticated animal larger than a house cat. This narrows things quite a bit. Let's confirm its primary purpose. Question: Is this animal commonly kept for food production (meat, milk, etc.)?

Iteration 4

PyFunc

Resulting in output: Is this animal commonly kept for food production (meat, milk, etc.)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal commonly kept for food production (meat, milk, etc.)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. We're getting somewhere - it's a farm animal used for food production. Let's narrow down which kind. Question: Does this animal produce milk for human consumption?

Iteration 5

PyFunc

Resulting in output: Does this animal produce milk for human consumption?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Does this animal produce milk for human consumption?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. Ah, this is starting to come together. It's a milk-producing farm animal larger than a cat. Let's confirm the most obvious possibility. Question: Is the answer a cow?

Iteration 6

PyFunc

Resulting in output: Is the answer a cow?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

8. Interesting! A milk-producing farm animal that's not a cow. This narrows things down significantly. Question: Is this animal a goat?

Iteration 7

PyFunc

Resulting in output: Is this animal a goat?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

9. Hmm, not a cow or a goat, but it produces milk and is a farm animal. There's really only one other common option... Question: Is this animal a sheep?

Iteration 8

PyFunc

Resulting in output: Is this animal a sheep?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. This is puzzling - it's a milk-producing farm animal that's not a cow, goat, or sheep. Let me think... There are some less common milk-producing farm animals. Question: Is this animal a buffalo/bison?

Iteration 9

PyFunc

Resulting in output: Is this animal a buffalo/bison?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal a buffalo/bison?. 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 intriguing! Let me think more broadly... Some cultures use other animals for milk. I should verify something about its physical characteristics. Question: Does this animal have hooves?

Iteration 10

PyFunc

Resulting in output: Does this animal have hooves?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

12. Okay, it's a hooved, milk-producing domesticated mammal, but not a cow, sheep, goat, or buffalo. This is quite specific now. Let me try another angle. Question: Is this animal primarily used for transportation or work in addition to milk production?

Iteration 11

PyFunc

Resulting in output: Is this animal primarily used for transportation or work in addition to milk production?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal primarily used for transportation or work in addition to milk production?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. Ah! Now we're getting somewhere. A working animal that also produces milk. There's one obvious candidate, but let me confirm some characteristics. Question: Is this animal particularly known for surviving in dry/desert environments?

Iteration 12

PyFunc

Resulting in output: Is this animal particularly known for surviving in dry/desert environments?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal particularly known for surviving in dry/desert environments?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. I'm becoming quite confident now. This is a hooved mammal used for both work and milk, especially in desert regions. Just to be absolutely certain... Question: Is this animal a camel?

Iteration 13

PyFunc

Resulting in output: Is this animal a camel?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

15. Interesting! It shares many characteristics with a camel but isn't one. Let me think... It's a hooved working animal that produces milk and is good in dry environments... Question: Does this animal have long ears?

Iteration 14

PyFunc

Resulting in output: Does this animal have long ears?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

16. Hmm, this is challenging. It's a working animal, produces milk, handles dry environments, but doesn't have long ears. Let me try another physical characteristic. Question: Does this animal have a mane?

Iteration 15

PyFunc

Resulting in output: Does this animal have a mane?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

17. Let me think... We're looking for a domesticated, hooved mammal that produces milk, is used for work, is good in dry environments, has no mane, and no long ears. One possibility is coming to mind... Question: Is this animal particularly known for being stocky and sturdy?

Iteration 16

PyFunc

Resulting in output: Is this animal particularly known for being stocky and sturdy?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this animal particularly known for being stocky and sturdy?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

18. Ah! I think I know now. This animal is known in many parts of Asia and is valued for both its milk and its ability to work in harsh conditions. Question: Is this animal a yak?

Iteration 17

PyFunc

Resulting in output: Is this animal a yak?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

19. This is quite challenging! Let me think - it's a sturdy, hooved working animal that produces milk, handles dry environments, but isn't a camel, horse, donkey, cow, goat, sheep, buffalo, or yak. One last possibility is coming to mind... Question: Is this animal a female horse (mare)?

Iteration 18

PyFunc

Resulting in output: Is this animal a female horse (mare)?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

20. For my final question, I need to consider what's left. It's a sturdy working animal that produces milk, does well in dry environments, and isn't any of the animals I've guessed. There's one domesticated animal I haven't considered that fits all these criteria... Question: Is this animal a donkey?

Iteration 19

PyFunc

Resulting in output: Is this animal a donkey?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

I've used all 20 questions and still haven't figured it out! This is quite the challenging puzzle. Let me reflect on what we know: - It's a domesticated mammal larger than a cat - Has hooves - Produces milk - Used for work/transportation - Good in dry environments - Sturdy and stocky - Not a cow, goat, sheep, buffalo, camel, horse, donkey, or yak I see now why it was so tricky - I've exhausted my guesses for common milk-producing working animals. Would you be willing to tell me what it was? I'm quite curious to know what I missed!

PyFunc

Resulting in output: False