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. [internal thought: I'll start by asking if the animal is a mammal to narrow down the possibilities] 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. [internal thought: I'll ask if the animal is a domestic or wild animal to further narrow down the possibilities] Question: Is the animal a domestic or wild animal?

Iteration 1

PyFunc

Resulting in output: Is the animal a domestic or wild animal?

LLM Generation

Query

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

Output

Yes, a llama can be considered a domestic animal.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

3. [internal thought: The answer "yes" doesn't clarify if it's domestic or wild, I'll rephrase the question] Question: Is the animal primarily found in the wild, or is it commonly kept as a pet or on a farm?

Iteration 2

PyFunc

Resulting in output: Is the animal primarily found in the wild, or is it commonly kept as a pet or on a farm?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal primarily found in the wild, or is it commonly kept as a pet or on a farm?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes. (Llamas are primarily found on farms, not in the wild.)

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

4. [internal thought: Again, the answer "yes" doesn't clarify if it's primarily found in the wild or commonly kept as a pet/farm animal. I'll try to rephrase the question again.] Question: Is the animal primarily found in the wild and not commonly kept as a pet or on a farm?

Iteration 3

PyFunc

Resulting in output: Is the animal primarily found in the wild and not commonly kept as a pet or on a farm?

LLM Generation

Query

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

Output

No. (Llamas are primarily domesticated animals and are commonly kept on farms.)

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

5. [internal thought: Okay, so the animal is a mammal that is commonly kept as a pet or on a farm. I'll ask if it's a common household pet to further narrow down the possibilities] Question: Is the animal a common household pet?

Iteration 4

PyFunc

Resulting in output: Is the animal 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 the animal 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

6. [internal thought: If it's not a common household pet, but it's still kept by humans, it could be a farm animal or a working animal. I'll ask if it's used for a specific purpose to narrow down the possibilities] Question: Is the animal used for a specific purpose, such as for work or for producing products like milk or wool?

Iteration 5

PyFunc

Resulting in output: Is the animal used for a specific purpose, such as for work or for producing products like milk or wool?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal used for a specific purpose, such as for work or for producing products like milk or wool?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

7. [internal thought: Since the animal is used for a specific purpose, it's likely a farm animal. I'll ask if it's commonly found on farms to confirm this] Question: Is the animal commonly found on farms?

Iteration 6

PyFunc

Resulting in output: Is the animal commonly found on farms?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

8. [internal thought: Now that I know it's a farm animal, I'll ask if it's primarily used for producing meat, milk, or eggs to further narrow down the possibilities] Question: Is the animal primarily used for producing meat, milk, or eggs?

Iteration 7

PyFunc

Resulting in output: Is the animal primarily used for producing meat, milk, or eggs?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal primarily used for producing meat, milk, or eggs?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No. Llamas are not primarily used for producing meat, milk, or eggs. They are often used as pack animals or for their wool.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. [internal thought: If it's not primarily used for producing meat, milk, or eggs, it could be a working animal. I'll ask if it's used for labor or transportation to narrow down the possibilities] Question: Is the animal used for labor or transportation?

Iteration 8

PyFunc

Resulting in output: Is the animal used for labor or transportation?

LLM Generation

Query

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

Output

No. (Llamas are not typically used for labor or transportation, although they can be used to carry light loads.)

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

10. [internal thought: If it's not used for labor or transportation, it could be used for other purposes, such as producing wool or for companion. I'll ask if it's used for producing a specific product or kept primarily for companionship to narrow down the possibilities] Question: Is the animal used for producing a specific product, such as wool, or is it kept primarily for companionship?

Iteration 9

PyFunc

Resulting in output: Is the animal used for producing a specific product, such as wool, or is it kept primarily for companionship?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal used for producing a specific product, such as wool, or is it kept primarily for companionship?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes. (Llamas are used for producing wool, and they can also be kept for companionship.)

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

11. [internal thought: Since it's not used for meat, milk, eggs, labor, or transportation, and it's used for a specific product or companionship, it's likely used for wool or kept as a pet. I'll ask if it's used for producing wool to further narrow down the possibilities] Question: Is the animal used for producing wool?

Iteration 10

PyFunc

Resulting in output: Is the animal used for producing wool?

LLM Generation

Query

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

Output

Yes, a llama can be used for producing wool. However, they are more commonly known for their meat and as pack animals. Alpacas are usually the ones more associated with wool production.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

12. [internal thought: Now that I know it's used for producing wool, I'll ask if it's a sheep to confirm my guess] Question: Is the animal a sheep?

Iteration 11

PyFunc

Resulting in output: Is the animal a sheep?

LLM Generation

Query

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

13. [internal thought: If it's not a sheep, but it's used for producing wool, it could be an alpaca, a llama, or an angora rabbit. I'll ask if it's a South American camelid to narrow down the possibilities] Question: Is the animal a South American camelid, such as an alpaca or 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. [internal thought: I should start with a broad question to narrow down the possibilities] Question: Is the animal you're thinking of a mammal?

Looping until done

Iteration 0

PyFunc

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

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

2. [internal thought: There are many mammals, so I should ask if it's a common or well-known animal] Question: Is the mammal you're thinking of a common or well-known animal?

Iteration 1

PyFunc

Resulting in output: Is the mammal you're thinking of a common or well-known animal?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

3. [internal thought: I should ask if the animal is domesticated or found in the wild] Question: Is the mammal you're thinking of commonly found in the wild, or is it a domesticated animal?

Iteration 2

PyFunc

Resulting in output: Is the mammal you're thinking of commonly found in the wild, or is it a domesticated animal?

LLM Generation

Query

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

Output

Yes, a llama is commonly a domesticated animal.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I apologize for the confusion. Could you please clarify if the mammal you're thinking of is commonly found in the wild or if it's a domesticated animal? It can't be both.

Iteration 3

PyFunc

Resulting in output: I apologize for the confusion. Could you please clarify if the mammal you're thinking of is commonly found in the wild or if it's a domesticated animal? It can't be both.

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: I apologize for the confusion. Could you please clarify if the mammal you're thinking of is commonly found in the wild or if it's a domesticated animal? It can't be both.. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, a Llama is commonly a domesticated animal.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I'm sorry for the confusion again. I understand that the mammal you're thinking of is common and well-known, but I need to know if it's primarily found in the wild or if it's a domesticated animal. Could you please clarify?

Iteration 4

PyFunc

Resulting in output: I'm sorry for the confusion again. I understand that the mammal you're thinking of is common and well-known, but I need to know if it's primarily found in the wild or if it's a domesticated animal. Could you please clarify?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: I'm sorry for the confusion again. I understand that the mammal you're thinking of is common and well-known, but I need to know if it's primarily found in the wild or if it's a domesticated animal. Could you please clarify?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, llamas are primarily domesticated animals.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I apologize for the misunderstanding. I'll assume that the mammal you're thinking of can be found both in the wild and as a domesticated animal. 4. [internal thought: I should ask about the size of the animal to narrow down the possibilities] Question: Is the mammal you're thinking of larger than a house cat?

Iteration 5

PyFunc

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

5. [internal thought: I should ask if the animal is used for a specific purpose, like transportation or work] Question: Is the mammal you're thinking of commonly used for a specific purpose, such as transportation or work?

Iteration 6

PyFunc

Resulting in output: Is the mammal you're thinking of commonly used for a specific purpose, such as transportation or work?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal you're thinking of commonly used for a specific purpose, such as transportation or work?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. [internal thought: I should ask if the animal is often kept as a pet] Question: Is the mammal you're thinking of commonly kept as a pet?

Iteration 7

PyFunc

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

7. [internal thought: I should ask if the animal is known for its appearance or any unique physical features] Question: Is the mammal you're thinking of known for its distinctive appearance or unique physical features?

Iteration 8

PyFunc

Resulting in output: Is the mammal you're thinking of known for its distinctive appearance or unique physical features?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal you're thinking of known for its distinctive appearance or unique physical features?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

8. [internal thought: I should ask if the animal is associated with a particular habitat or environment] Question: Is the mammal you're thinking of strongly associated with a specific habitat or environment, such as forests, deserts, or water?

Iteration 9

PyFunc

Resulting in output: Is the mammal you're thinking of strongly associated with a specific habitat or environment, such as forests, deserts, or water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal you're thinking of strongly associated with a specific habitat or environment, such as forests, deserts, or water?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. [internal thought: Since the animal is associated with a specific habitat, I should ask if it's adapted for life in trees, on the ground, or in water] Question: Is the mammal you're thinking of adapted for life primarily in trees, on the ground, or in water?

Iteration 10

PyFunc

Resulting in output: Is the mammal you're thinking of adapted for life primarily in trees, on the ground, or in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal you're thinking of adapted for life primarily in trees, on the ground, or in water?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, the mammal I'm thinking of is adapted for life primarily on the ground.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I apologize for the confusion. I understand that the mammal is associated with a specific habitat, but I need to know if it's primarily adapted for life in trees, on the ground, or in water. Could you please clarify?

Iteration 11

PyFunc

Resulting in output: I apologize for the confusion. I understand that the mammal is associated with a specific habitat, but I need to know if it's primarily adapted for life in trees, on the ground, or in water. Could you please clarify?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: I apologize for the confusion. I understand that the mammal is associated with a specific habitat, but I need to know if it's primarily adapted for life in trees, on the ground, or in water. Could you please clarify?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No, llamas are not primarily adapted for life in trees or in water; they are ground-dwelling animals.

PyFunc

Resulting in output: No,

LLM Generation

Query

No,

Output

I apologize for the confusion earlier. Let me rephrase the question: 9. [internal thought: I should ask if the mammal's specific habitat is primarily in trees, on the ground, or in water] Question: Is the specific habitat the mammal you're thinking of primarily in trees, on the ground, or in water?

Iteration 12

PyFunc

Resulting in output: Is the specific habitat the mammal you're thinking of primarily in trees, on the ground, or in water?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the specific habitat the mammal you're thinking of primarily in trees, on the ground, or in water?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

I apologize for the misunderstanding. Let me try to clarify the question further: 9. [internal thought: I should ask if the mammal is primarily found in a specific type of environment, such as forests, deserts, grasslands, or aquatic environments] Question: Is the mammal you're thinking of primarily found in a specific type of environment, such as forests, deserts, grasslands, or aquatic environments?

Iteration 13

PyFunc

Resulting in output: Is the mammal you're thinking of primarily found in a specific type of environment, such as forests, deserts, grasslands, or aquatic environments?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the mammal you're thinking of primarily found in a specific type of environment, such as forests, deserts, grasslands, or aquatic environments?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

10. [internal thought: I should ask if the mammal is primarily found in forests, since it's not adapted for life in trees, on the ground, or in water] Question: Is the mammal you're thinking of primarily found in forested environments?

Iteration 14

PyFunc

Resulting in output: Is the mammal you're thinking of primarily found in forested environments?

LLM Generation

Query

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

Output

No. (Llamas are primarily found in grassy and mountainous environments, not forests.)

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

11. [internal thought: Since the mammal is not primarily found in forests, I should ask if it's primarily found in grasslands or savannas] Question: Is the mammal you're thinking of primarily found in grassland or savanna environments?

Iteration 15

PyFunc

Resulting in output: Is the mammal you're thinking of primarily found in grassland or savanna environments?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

12. [internal thought: I should ask if the mammal is a herbivore, carnivore, or omnivore] Question: Is the mammal you're thinking of primarily a herbivore, carnivore, or omnivore?

Iteration 16

PyFunc

Resulting in output: Is the mammal you're thinking of primarily a herbivore, carnivore, or omnivore?

LLM Generation

Query

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

Output

Yes. (Llamas are primarily herbivores, so if you're playing 20 questions and someone asks, "Is the mammal you're thinking of primarily a herbivore, carnivore, or omnivore?" you can simply answer "Yes" to indicate that the animal in question is primarily a herbivore.)

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

I apologize for the confusion. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please clarify?

Iteration 17

PyFunc

Resulting in output: I apologize for the confusion. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please clarify?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: I apologize for the confusion. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please clarify?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, a llama is primarily a herbivore.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I apologize for the misunderstanding. Let me rephrase the question: 12. [internal thought: I should ask if the mammal is primarily a herbivore, carnivore, or omnivore] Question: Is the mammal you're thinking of primarily a herbivore, a carnivore, or an omnivore?

Iteration 18

PyFunc

Resulting in output: Is the mammal you're thinking of primarily a herbivore, a carnivore, or an omnivore?

LLM Generation

Query

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

Output

Yes. (Explanation: Llamas are primarily herbivores, so the answer is 'Yes' to confirm that they are primarily herbivores.)

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

I apologize for the confusion again. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please provide a yes or no answer to one of those options?

Iteration 19

PyFunc

Resulting in output: I apologize for the confusion again. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please provide a yes or no answer to one of those options?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: I apologize for the confusion again. I understand that the mammal is primarily found in grassland or savanna environments, but I need to know if it's primarily a herbivore, carnivore, or omnivore. Could you please provide a yes or no answer to one of those options?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, a llama is primarily a herbivore.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

I apologize for the misunderstanding. I'll assume that the mammal you're thinking of is primarily a herbivore, a carnivore, or an omnivore, but I still need to know which one it is. Could you please provide a yes or no answer to one of those options? 12. [internal thought: I should ask if the mammal is primarily a herbivore, carnivore, or omnivore] Question: Is the mammal you're thinking of primarily a herbivore?

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. [internal thought: I should start by asking if the animal is a mammal, bird, reptile, fish, or insect to narrow down the possibilities] 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. [internal thought: There are many mammals, so I should ask if the animal lives primarily on land, in water, or both to further narrow down the possibilities] Question: Does the animal live primarily on land?

Iteration 1

PyFunc

Resulting in output: Does the 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 the 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

3. [internal thought: There are many land mammals, so I should ask if the animal is a carnivore, herbivore, or omnivore to further narrow down the possibilities] Question: Is the animal a carnivore?

Iteration 2

PyFunc

Resulting in output: Is the animal a carnivore?

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?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

4. [internal thought: Since the animal is not a carnivore, it is either an herbivore or an omnivore. I should ask if the animal eats plants to further narrow down the possibilities] Question: Does the animal eat plants?

Iteration 3

PyFunc

Resulting in output: Does the animal eat plants?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. [internal thought: Since the animal is an herbivore or an omnivore that eats plants, I should ask if it is a large animal or a small animal to further narrow down the possibilities] Question: Is the animal larger than a house cat?

Iteration 4

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

6. [internal thought: Since the animal is larger than a house cat, I should ask if it is a domesticated animal or a wild animal to further narrow down the possibilities] Question: Is the animal a domesticated animal?

Iteration 5

PyFunc

Resulting in output: Is the animal a domesticated animal?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

7. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, I should ask if it is commonly kept as a farm animal to further narrow down the possibilities] Question: Is the animal commonly kept as a farm animal?

Iteration 6

PyFunc

Resulting in output: Is the animal commonly kept as a farm animal?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

8. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land and is commonly kept as a farm animal, I should ask if it is used for its meat, milk, or eggs to further narrow down the possibilities] Question: Is the animal used for its meat?

Iteration 7

PyFunc

Resulting in output: Is the animal used for its meat?

LLM Generation

Query

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

Output

Yes, llamas are used for their meat in some cultures.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

9. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, and is used for its meat, I should ask if it is a hoofed animal to further narrow down the possibilities] Question: Does the animal have hooves?

Iteration 8

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

10. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, and does not have hooves, I should ask if it is a bird to further narrow down the possibilities] Question: Is the animal a bird?

Iteration 9

PyFunc

Resulting in output: Is the animal a bird?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

11. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, and is not a bird, I should ask if it is a type of pig to further narrow down the possibilities] Question: Is the animal a type of pig?

Iteration 10

PyFunc

Resulting in output: Is the animal a type of pig?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, and is not a pig, I should ask if it is a type of cow to further narrow down the possibilities] Question: Is the animal a type of cow?

Iteration 11

PyFunc

Resulting in output: Is the animal a type of cow?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, and is not a cow, I should ask if it is a type of sheep to further narrow down the possibilities] Question: Is the animal a type of sheep?

Iteration 12

PyFunc

Resulting in output: Is the animal a type of sheep?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

14. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, and is not a sheep, I should ask if it is a type of goat to further narrow down the possibilities] Question: Is the animal a type of goat?

Iteration 13

PyFunc

Resulting in output: Is the animal a type of goat?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

15. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, and is not a goat, I should ask if it is a type of rabbit to further narrow down the possibilities] Question: Is the animal a type of rabbit?

Iteration 14

PyFunc

Resulting in output: Is the animal a type of rabbit?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

16. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, is not a goat, and is not a rabbit, I should ask if it is a type of rodent to further narrow down the possibilities] Question: Is the animal a type of rodent?

Iteration 15

PyFunc

Resulting in output: Is the animal a type of rodent?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

17. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, is not a goat, is not a rabbit, and is not a rodent, I should ask if it is a type of deer to further narrow down the possibilities] Question: Is the animal a type of deer?

Iteration 16

PyFunc

Resulting in output: Is the animal a type of deer?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

18. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, is not a goat, is not a rabbit, is not a rodent, and is not a deer, I should ask if it is a type of horse to further narrow down the possibilities] Question: Is the animal a type of horse?

Iteration 17

PyFunc

Resulting in output: Is the animal a type of horse?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

19. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, is not a goat, is not a rabbit, is not a rodent, is not a deer, and is not a horse, I should ask if it is a type of camel to further narrow down the possibilities] Question: Is the animal a type of camel?

Iteration 18

PyFunc

Resulting in output: Is the animal a type of camel?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

20. [internal thought: Since the animal is a domesticated herbivore or omnivore that lives primarily on land, is commonly kept as a farm animal, is used for its meat, does not have hooves, is not a bird, is not a pig, is not a cow, is not a sheep, is not a goat, is not a rabbit, is not a rodent, is not a deer, is not a horse, and is not a camel, I am unsure of what it could be. I will make my final guess based on the remaining possibilities] Question: Is the answer a type of buffalo?

Iteration 19

PyFunc

Resulting in output: Is the answer a type of buffalo?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

I apologize for not being able to guess the correct animal within 20 questions. If you would like to provide more information or clues, I would be happy to continue guessing. Alternatively, you can reveal the answer and we can start a new game with a different animal if you would like.

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. [internal thought: I'll start by determining if the animal is a mammal] 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. [internal thought: I'll next determine if the animal is domesticated or wild] Question: Is the animal commonly kept as a pet or domesticated?

Iteration 1

PyFunc

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

LLM Generation

Query

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

Output

Yes, llamas are commonly domesticated, but they are not typically kept as pets. Llamas are often used for packing, wool, and guarding other animals, such as sheep. They can be socialized and trained to be friendly with humans, but they have specific needs and behaviors that require proper care and handling. It's essential to do thorough research and ensure you can provide a suitable environment before considering a llama as a pet or addition to your farm.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

3. [internal thought: Since it's domesticated, I'll ask if it's a farm animal or a pet] Question: Is the animal primarily kept for agricultural purposes (e.g., milk, meat, eggs, or labor)?

Iteration 2

PyFunc

Resulting in output: Is the animal primarily kept for agricultural purposes (e.g., milk, meat, eggs, or labor)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal primarily kept for agricultural purposes (e.g., milk, meat, eggs, or labor)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. [internal thought: I'll ask about its size to narrow down the possibilities] Question: Is the animal larger than a dog?

Iteration 3

PyFunc

Resulting in output: Is the animal larger than a dog?

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 dog?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. [internal thought: Now I'll ask if it's used for transportation or primarily for other agricultural purposes] Question: Is the animal commonly used for transportation or riding?

Iteration 4

PyFunc

Resulting in output: Is the animal commonly used for transportation or riding?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. [internal thought: Since it's not used for transportation, I'll ask about its primary purpose] Question: Is the animal primarily raised for its milk or meat?

Iteration 5

PyFunc

Resulting in output: Is the animal primarily raised for its milk or meat?

LLM Generation

Query

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

Output

No. Llamas are primarily raised for their wool and as pack animals, not for their milk or meat.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

7. [internal thought: If it's not primarily raised for milk, meat, or transportation, it might be for eggs or labor] Question: Is the animal primarily raised for its eggs or for labor (like plowing or pulling carts)?

Iteration 6

PyFunc

Resulting in output: Is the animal primarily raised for its eggs or for labor (like plowing or pulling carts)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is the animal primarily raised for its eggs or for labor (like plowing or pulling carts)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. [internal thought: Since it's not primarily raised for milk, meat, eggs, transportation, or labor, it might be kept for other purposes like wool or companionship] Question: Is the animal primarily raised for its wool or fur?

Iteration 7

PyFunc

Resulting in output: Is the animal primarily raised for its wool or fur?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. [internal thought: Now I know it's a mammal that is domesticated, larger than a dog, not used for transportation, and raised for its wool or fur] Question: Does the animal have hooves?

Iteration 8

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

10. [internal thought: Since it doesn't have hooves, it's likely not a common farm animal like a cow, sheep, or goat] Question: Is the animal commonly found on farms?

Iteration 9

PyFunc

Resulting in output: Is the animal commonly found on farms?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

11. [internal thought: I'll ask about its diet to narrow down the possibilities] Question: Is the animal primarily herbivorous?

Iteration 10

PyFunc

Resulting in output: Is the animal primarily herbivorous?

LLM Generation

Query

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

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

12. [internal thought: Since it's a herbivore, I'll ask about its size again to narrow down the possibilities] Question: Is the animal significantly larger than a human?

Iteration 11

PyFunc

Resulting in output: Is the animal significantly 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 animal significantly 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

13. [internal thought: Since it's a herbivore, domesticated, and not significantly larger than a human, it could be a specific breed of a common farm animal] Question: Is the animal a specific breed of sheep?

Iteration 12

PyFunc

Resulting in output: Is the animal a specific breed of sheep?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

14. [internal thought: Since it's not a sheep, I'll ask if it's a rodent] Question: Is the animal a rodent?

Iteration 13

PyFunc

Resulting in output: Is the animal a rodent?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

15. [internal thought: Since it's not a rodent, I'll ask if it's a marsupial] Question: Is the animal a marsupial?

Iteration 14

PyFunc

Resulting in output: Is the animal a marsupial?

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?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

16. [internal thought: I'll ask if it's an animal with a long neck] Question: Does the animal have a long neck?

Iteration 15

PyFunc

Resulting in output: Does the 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 the 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

17. [internal thought: Since it has a long neck, I'll ask if it's an animal commonly associated with Africa] Question: Is the animal commonly associated with Africa?

Iteration 16

PyFunc

Resulting in output: Is the animal commonly associated with Africa?

LLM Generation

Query

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

Output

No. Llamas are native to South America, not Africa.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

18. [internal thought: Since it's not an animal associated with Africa, I'll ask if it's native to South America] Question: Is the animal native to South America?

Iteration 17

PyFunc

Resulting in output: Is the 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 the 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

19. [internal thought: Since it's native to South America and has a long neck, it could be an alpaca or llama] Question: Does the animal have a distinct, long face with large eyes?

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. [internal thought: I should start by determining if the animal is a mammal, bird, reptile, fish, or invertebrate] 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. [internal thought: I should narrow down the type of mammal by asking about its environment] Question: Does the animal live primarily on land?

Iteration 1

PyFunc

Resulting in output: Does the 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 the 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

3. [internal thought: I'll try to rule out some common mammals and see if it's a carnivore, herbivore, or omnivore] Question: Does the animal eat meat as a significant part of its diet?

Iteration 2

PyFunc

Resulting in output: Does the animal eat meat as a significant part of its diet?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

4. [internal thought: Since it's not a carnivore, it's either an herbivore or omnivore. I'll try to narrow down the size and shape of the animal] Question: Is the animal larger than a house cat and does it have a long neck or tail?

Iteration 3

PyFunc

Resulting in output: Is the animal larger than a house cat and does it have a long neck or tail?

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 and does it have a long neck or tail?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. [internal thought: The description could fit a variety of animals, but I'll try to rule out some common ones] Question: Is the animal commonly found in Africa?

Iteration 4

PyFunc

Resulting in output: Is the animal commonly found in Africa?

LLM Generation

Query

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

Output

No. (Llamas are native to South America, not Africa.)

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. [internal thought: Since it's not from Africa, I'll try to narrow down the region where it can be found] Question: Is the animal native to North or South America?

Iteration 5

PyFunc

Resulting in output: Is the animal native to North or 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 North or South America?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

7. [internal thought: I'll try to rule out some common large herbivores from the Americas] Question: Is the animal a member of the deer or camel family?

Iteration 6

PyFunc

Resulting in output: Is the animal a member of the deer or camel family?

LLM Generation

Query

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

Output

No. (A llama is actually a member of the camelid family, but it's not part of the deer or camel family.)

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. [internal thought: The description doesn't fit many large herbivores from the Americas, so I'll ask about its appearance to narrow it down further] Question: Does the animal have distinctive black and white markings?

Iteration 7

PyFunc

Resulting in output: Does the animal have distinctive black and white markings?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. [internal thought: Since it doesn't have black and white markings, I'll try to rule out some other common large herbivores from the Americas] Question: Is the animal a member of the horse or tapir family?

Iteration 8

PyFunc

Resulting in output: Is the animal a member of the horse or tapir family?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

10. [internal thought: I'm running out of common large herbivores from the Americas, so I'll ask about its habitat to narrow it down further] Question: Does the animal live primarily in forests or grasslands?

Iteration 9

PyFunc

Resulting in output: Does the animal live primarily in forests or grasslands?

LLM Generation

Query

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

Output

Yes. (Llamas primarily live in grasslands.)

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

11. [internal thought: I'll try to rule out some common large herbivores from the Americas that live in forests or grasslands] Question: Is the animal a member of the bear or sloth family?

Iteration 10

PyFunc

Resulting in output: Is the animal a member of the bear or sloth family?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. [internal thought: I'm struggling to think of a large herbivore from the Americas that fits the description, so I'll ask about its behavior to see if that helps] Question: Is the animal known for its agility or speed?

Iteration 11

PyFunc

Resulting in output: Is the animal known for its agility or speed?

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 agility or speed?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. [internal thought: The description still doesn't fit many large herbivores from the Americas, so I'll ask about its physical characteristics to see if that helps] Question: Does the animal have any distinctive features, such as horns, antlers, or a prominent hump?

Iteration 12

PyFunc

Resulting in output: Does the animal have any distinctive features, such as horns, antlers, or a prominent hump?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

14. [internal thought: I'm still struggling to think of a large herbivore from the Americas that fits the description, so I'll ask about its diet to see if that helps] Question: Does the animal have a specialized diet, such as feeding primarily on leaves or bark?

Iteration 13

PyFunc

Resulting in output: Does the animal have a specialized diet, such as feeding primarily on leaves or bark?

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 specialized diet, such as feeding primarily on leaves or bark?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No. Llamas are not specialized feeders and primarily consume grasses and other vegetation, but they do not primarily feed on leaves or bark.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

15. [internal thought: The description still doesn't fit many large herbivores from the Americas, so I'll ask about its size to see if that helps] Question: Is the animal significantly larger than a human?

Iteration 14

PyFunc

Resulting in output: Is the animal significantly 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 animal significantly 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

16. [internal thought: The description still doesn't fit many large herbivores from the Americas, so I'll ask about its habitat to see if that helps] Question: Does the animal live primarily in mountainous regions?

Iteration 15

PyFunc

Resulting in output: Does the animal live primarily 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 live primarily in mountainous regions?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes, llamas are primarily found in mountainous regions, particularly in the Andes mountains of South America.

PyFunc

Resulting in output: Yes,

LLM Generation

Query

Yes,

Output

17. [internal thought: The description of a large herbivore with a long neck or tail that lives in mountainous regions of the Americas and is not a member of the deer, camel, horse, tapir, bear, or sloth families is still quite vague, but I'll take a guess] Question: Is the answer a llama or alpaca?

PyFunc

Resulting in output: True