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. Is this animal a mammal? [I'm starting broad to narrow down the category of the 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. Is this mammal domesticated? [Now I want to know if it's a pet or livestock, which will help narrow it down further.] Question: Is this mammal domesticated?

Iteration 1

PyFunc

Resulting in output: Is this mammal domesticated?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. Is this domesticated mammal commonly kept as a pet? [I'm trying to determine if it's more of a household pet or a farm animal.] Question: Is this domesticated mammal commonly kept as a pet?

Iteration 2

PyFunc

Resulting in output: Is this domesticated mammal 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 domesticated mammal commonly kept as a pet?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

4. Is this pet mammal typically smaller than a dog? [Now I want to narrow it down to smaller pets, like cats or other small animals.] Question: Is this pet mammal typically smaller than a dog?

Iteration 3

PyFunc

Resulting in output: Is this pet mammal typically smaller than a dog?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

5. Is this pet mammal commonly known for being friendly and sociable? [Since it's not smaller than a dog, I'm considering larger pets, like dogs or larger breeds of cats, and I want to know about its temperament.] Question: Is this pet mammal commonly known for being friendly and sociable?

Iteration 4

PyFunc

Resulting in output: Is this pet mammal commonly known for being friendly and sociable?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

6. Is this pet mammal known for being a specific breed of dog? [Since it's friendly and not smaller than a dog, I'm leaning towards dogs specifically.] Question: Is this pet mammal known for being a specific breed of dog?

Iteration 5

PyFunc

Resulting in output: Is this pet mammal known for being a specific breed of dog?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this pet mammal known for being a specific breed of dog?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

7. Is this pet mammal a type of cat? [Since it's not a specific breed of dog, I'm considering if it could be a cat instead, as they can also be friendly.] Question: Is this pet mammal a type of cat?

Iteration 6

PyFunc

Resulting in output: Is this pet mammal a type of cat?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. Is this pet mammal often used as a working animal (for example, herding, hunting, or assistance)? [Since it's not a dog or a cat, I'm trying to see if it's another type of friendly, larger pet that might have a specific role or job.] Question: Is this pet mammal often used as a working animal?

Iteration 7

PyFunc

Resulting in output: Is this pet mammal often used as a working animal?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. Is this working mammal primarily used for herding livestock? [Now I'm focusing on animals that are commonly known for their roles in working with livestock.] Question: Is this working mammal primarily used for herding livestock?

Iteration 8

PyFunc

Resulting in output: Is this working mammal primarily used for herding livestock?

LLM Generation

Query

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

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

10. Is this working mammal commonly used as a service animal, for example, as a guide or therapy animal? [Since it’s not used for herding, I want to explore if it has a role in assistance or service.] Question: Is this working mammal commonly used as a service animal?

Iteration 9

PyFunc

Resulting in output: Is this working mammal commonly used as a service animal?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

11. Is this working mammal primarily used for transportation or carrying loads? [I'm considering animals that have practical uses in terms of transport, like horses or donkeys.] Question: Is this working mammal primarily used for transportation or carrying loads?

Iteration 10

PyFunc

Resulting in output: Is this working mammal primarily used for transportation or carrying loads?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this working mammal primarily used for transportation or carrying loads?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

12. Is this working mammal a horse? [Since it's used for transportation and has a friendly demeanor, I'm thinking horses are a strong possibility.] Question: Is this working mammal a horse?

Iteration 11

PyFunc

Resulting in output: Is this working mammal a horse?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. Is this working mammal a donkey? [Since it's not a horse but used for transportation, I'm narrowing down to the next common animals that fit this description.] Question: Is this working mammal a donkey?

Iteration 12

PyFunc

Resulting in output: Is this working mammal a donkey?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

14. Is this working mammal a type of mule? [I'm focusing on hybrid animals often used for carrying loads and transportation.] Question: Is this working mammal a type of mule?

Iteration 13

PyFunc

Resulting in output: Is this working mammal a type of mule?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

15. Is this working mammal primarily used in agriculture? [Since it’s not a horse, donkey, or mule, I want to determine if it might be related to farming or agricultural work.] Question: Is this working mammal primarily used in agriculture?

Iteration 14

PyFunc

Resulting in output: Is this working mammal primarily used in agriculture?

LLM Generation

Query

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

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

16. Is this working mammal a type of ox? [Since it’s used in agriculture, I’m considering large animals that are commonly utilized for plowing and other farm work.] Question: Is this working mammal a type of ox?

Iteration 15

PyFunc

Resulting in output: Is this working mammal a type of ox?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

17. Is this working mammal a type of pig? [Since it’s used in agriculture, I want to explore if it might be a pig, as they can also be involved in farming.] Question: Is this working mammal a type of pig?

Iteration 16

PyFunc

Resulting in output: Is this working mammal 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 this working mammal 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

18. Is this working mammal primarily used for dairy production? [Since it’s not an ox or pig, I'm considering animals that are commonly used in agriculture for milk.] Question: Is this working mammal primarily used for dairy production?

Iteration 17

PyFunc

Resulting in output: Is this working mammal primarily used for dairy production?

LLM Generation

Query

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

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

19. Is this working mammal primarily used for meat production? [Since it’s not used for dairy or as an ox, I’m trying to narrow it down to farm animals that are raised for meat.] Question: Is this working mammal primarily used for meat production?

Iteration 18

PyFunc

Resulting in output: Is this working mammal primarily used 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 working mammal primarily used 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

20. Is this working mammal primarily used for pulling carts or plows in farming, such as a horse or mule? [Given that it's not any of the previous options, I want to clarify if it fits this more specific role.] Question: Is this working mammal primarily used for pulling carts or plows in farming?

Iteration 19

PyFunc

Resulting in output: Is this working mammal primarily used for pulling carts or plows in farming?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Is this working mammal primarily used for pulling carts or plows in farming?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

I'm realizing that I've exhausted my questions without identifying the animal. Given all the information, I suspect it might be something like a goat, as they are used in agriculture for various purposes, including land clearing and as pack animals. Is the answer a goat?

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

Great! Let’s get started. 1. I need to narrow down the type of animal. Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: Great! Let’s get started. 1. I need to narrow down the type of animal. Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: Great! Let’s get started. 1. I need to narrow down the type of animal. Is it a mammal?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

2. Since it's a mammal, is it domesticated?

Iteration 1

PyFunc

Resulting in output: 2. Since it's a mammal, is it domesticated?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 2. Since it's a mammal, is it domesticated?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

3. Is it commonly kept as a pet?

Iteration 2

PyFunc

Resulting in output: 3. Is it 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: 3. Is it 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

4. Is it primarily used for agricultural purposes?

Iteration 3

PyFunc

Resulting in output: 4. Is it primarily used for agricultural purposes?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 4. Is it primarily used for agricultural purposes?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. Is it larger than a human?

Iteration 4

PyFunc

Resulting in output: 5. Is it larger than a human?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 5. Is it 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

6. Is it a type of livestock, such as a sheep, goat, or pig?

Iteration 5

PyFunc

Resulting in output: 6. Is it a type of livestock, such as a sheep, goat, or pig?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 6. Is it a type of livestock, such as a sheep, goat, or pig?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

7. Is it primarily raised for its meat?

Iteration 6

PyFunc

Resulting in output: 7. Is it primarily raised for its meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 7. Is it primarily raised for its meat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. Is it primarily raised for its milk?

Iteration 7

PyFunc

Resulting in output: 8. Is it primarily raised for its milk?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 8. Is it primarily raised for its milk?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. Is it primarily raised for its wool or fur?

Iteration 8

PyFunc

Resulting in output: 9. Is it 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: 9. Is it 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

10. Is it a sheep?

Iteration 9

PyFunc

Resulting in output: 10. Is it a sheep?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 10. Is it a sheep?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

11. Is it a goat?

Iteration 10

PyFunc

Resulting in output: 11. Is it a goat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 11. Is it a goat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. Is it an animal that is primarily raised for its fur, like a rabbit or alpaca?

Iteration 11

PyFunc

Resulting in output: 12. Is it an animal that is primarily raised for its fur, like a rabbit or alpaca?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 12. Is it an animal that is primarily raised for its fur, like a rabbit or alpaca?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. Is it an animal that is primarily raised for its pelts or hides, like a mink or fox?

Iteration 12

PyFunc

Resulting in output: 13. Is it an animal that is primarily raised for its pelts or hides, like a mink or fox?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 13. Is it an animal that is primarily raised for its pelts or hides, like a mink or fox?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

14. Is it a type of animal that produces a product used for clothing, like a llama or alpaca?

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. I need to narrow down the type of animal. Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: 1. I need to narrow down the type of animal. 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: 1. I need to narrow down the type of animal. 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. Great! Is this mammal domesticated?

Iteration 1

PyFunc

Resulting in output: 2. Great! Is this mammal domesticated?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 2. Great! Is this mammal domesticated?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

3. Is this domesticated mammal commonly kept as a pet?

Iteration 2

PyFunc

Resulting in output: 3. Is this domesticated mammal 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: 3. Is this domesticated mammal commonly kept as a pet?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

4. Does this pet typically have fur?

Iteration 3

PyFunc

Resulting in output: 4. Does this pet typically have fur?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 4. Does this pet typically have fur?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

5. Is this animal known for being playful and energetic?

Iteration 4

PyFunc

Resulting in output: 5. Is this animal known for being playful and energetic?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 5. Is this animal known for being playful and energetic?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. Is this animal known for being calm and affectionate?

Iteration 5

PyFunc

Resulting in output: 6. Is this animal known for being calm and affectionate?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 6. Is this animal known for being calm and affectionate?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

7. Is this animal a type of dog?

Iteration 6

PyFunc

Resulting in output: 7. Is this animal a type of dog?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 7. Is this animal a type of dog?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. Is this animal a type of cat?

Iteration 7

PyFunc

Resulting in output: 8. Is this animal a type of cat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 8. Is this animal a type of cat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. Is this animal a small mammal, such as a rodent or a rabbit?

Iteration 8

PyFunc

Resulting in output: 9. Is this animal a small mammal, such as a rodent or a rabbit?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 9. Is this animal a small mammal, such as a rodent or a rabbit?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

10. Is this animal a larger mammal, such as a farm animal?

Iteration 9

PyFunc

Resulting in output: 10. Is this animal a larger mammal, such as a farm animal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 10. Is this animal a larger mammal, such 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

11. Is this farm animal commonly kept for its milk?

Iteration 10

PyFunc

Resulting in output: 11. Is this farm animal commonly kept for its milk?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 11. Is this farm animal commonly kept for its milk?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. Is this farm animal primarily kept for its meat?

Iteration 11

PyFunc

Resulting in output: 12. Is this farm animal primarily kept for its meat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 12. Is this farm animal primarily kept for its meat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

13. Is this farm animal primarily kept for its wool?

Iteration 12

PyFunc

Resulting in output: 13. Is this farm animal primarily kept for its wool?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 13. Is this farm animal primarily kept for its wool?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

14. Is this animal a sheep?

Iteration 13

PyFunc

Resulting in output: 14. 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: 14. 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

15. Is this animal a goat?

Iteration 14

PyFunc

Resulting in output: 15. 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: 15. 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

16. Is this animal a type of alpaca?

Iteration 15

PyFunc

Resulting in output: 16. Is this animal a type of alpaca?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 16. Is this animal a type of alpaca?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

17. Is this animal 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. I'm going to start broad to narrow down the category. Is this animal a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: 1. I'm going to start broad to narrow down the category. 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: 1. I'm going to start broad to narrow down the category. 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. Does this mammal primarily live on land?

Iteration 1

PyFunc

Resulting in output: 2. Does this mammal primarily live on land?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 2. Does this mammal primarily live on land?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. Is this mammal a carnivore?

Iteration 2

PyFunc

Resulting in output: 3. Is this mammal a carnivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 3. Is this mammal 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. Is this mammal a herbivore?

Iteration 3

PyFunc

Resulting in output: 4. Is this mammal a herbivore?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 4. Is this mammal a herbivore?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. Is this mammal larger than a human?

Iteration 4

PyFunc

Resulting in output: 5. Is this mammal larger than a human?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 5. Is this mammal larger than a human?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. Is this mammal commonly kept as a pet?

Iteration 5

PyFunc

Resulting in output: 6. Is this mammal 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: 6. Is this mammal 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. Does this mammal have a long tail?

Iteration 6

PyFunc

Resulting in output: 7. Does this mammal have a long tail?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 7. Does this mammal have a long tail?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

8. Is this mammal known for burrowing or digging?

Iteration 7

PyFunc

Resulting in output: 8. Is this mammal known for burrowing or digging?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 8. Is this mammal known for burrowing or digging?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

9. Is this mammal typically found in forests or woodlands?

Iteration 8

PyFunc

Resulting in output: 9. Is this mammal typically found in forests or woodlands?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 9. Is this mammal typically found in forests or woodlands?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

10. Is this mammal commonly found in grasslands or savannas?

Iteration 9

PyFunc

Resulting in output: 10. Is this mammal commonly found in grasslands or savannas?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 10. Is this mammal commonly found in grasslands or savannas?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

11. Does this mammal belong to the rodent family?

Iteration 10

PyFunc

Resulting in output: 11. Does this mammal belong to the rodent family?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 11. Does this mammal belong to the rodent family?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. Is this mammal a type of ungulate (hooved animal)?

Iteration 11

PyFunc

Resulting in output: 12. Is this mammal a type of ungulate (hooved animal)?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 12. Is this mammal a type of ungulate (hooved animal)?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

13. Is this ungulate known for living in herds?

Iteration 12

PyFunc

Resulting in output: 13. Is this ungulate known for living in herds?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 13. Is this ungulate known for living in herds?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. Is this animal a type of deer?

Iteration 13

PyFunc

Resulting in output: 14. Is this 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: 14. Is this 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

15. Is this ungulate known for its ability to run fast?

Iteration 14

PyFunc

Resulting in output: 15. Is this ungulate known for its ability to run fast?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 15. Is this ungulate known for its ability to run fast?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

16. Is this animal larger than a goat?

Iteration 15

PyFunc

Resulting in output: 16. Is this animal larger than a goat?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 16. Is this animal larger than a goat?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

17. Is this ungulate primarily known for its large size and distinctive horns or antlers?

Iteration 16

PyFunc

Resulting in output: 17. Is this ungulate primarily known for its large size and distinctive horns or antlers?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 17. Is this ungulate primarily known for its large size and distinctive 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

18. Is this mammal commonly known for having a stocky build and short legs?

Iteration 17

PyFunc

Resulting in output: 18. Is this mammal commonly known for having a stocky build and short legs?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 18. Is this mammal commonly known for having a stocky build and short legs?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

19. Is this mammal a type of bovine, such as a cow or buffalo?

Iteration 18

PyFunc

Resulting in output: 19. Is this mammal a type of bovine, such as a cow or buffalo?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 19. Is this mammal a type of bovine, such as a cow or buffalo?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

20. Is this animal a type of large herbivore that is often associated with the plains of Africa, like a hippopotamus?

Iteration 19

PyFunc

Resulting in output: 20. Is this animal a type of large herbivore that is often associated with the plains of Africa, like a hippopotamus?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 20. Is this animal a type of large herbivore that is often associated with the plains of Africa, like a hippopotamus?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

I seem to have run out of questions without being able to guess correctly. Thank you for playing! Could you please tell me what animal you were thinking of?

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. I'm trying to narrow down the type of animal. Is it a mammal?

Looping until done

Iteration 0

PyFunc

Resulting in output: 1. I'm trying to narrow down the type of animal. Is it a mammal?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 1. I'm trying to narrow down the type of animal. Is it a mammal?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

2. Great! Is this mammal domesticated?

Iteration 1

PyFunc

Resulting in output: 2. Great! Is this mammal domesticated?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 2. Great! Is this mammal domesticated?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

3. Now I’m thinking about common pets. Is this domesticated mammal typically kept in a house?

Iteration 2

PyFunc

Resulting in output: 3. Now I’m thinking about common pets. Is this domesticated mammal typically kept in a house?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 3. Now I’m thinking about common pets. Is this domesticated mammal typically kept in a house?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No

PyFunc

Resulting in output: No

LLM Generation

Query

No

Output

4. Interesting! Is this domesticated mammal usually found on a farm?

Iteration 3

PyFunc

Resulting in output: 4. Interesting! Is this domesticated mammal usually found on a farm?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 4. Interesting! Is this domesticated mammal usually found on a farm?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

5. Since it's a farm animal, is this mammal primarily used for producing food, like meat or milk?

Iteration 4

PyFunc

Resulting in output: 5. Since it's a farm animal, is this mammal primarily used for producing food, like meat or milk?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 5. Since it's a farm animal, is this mammal primarily used for producing food, like meat or milk?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

6. That rules out some common farm animals. Is this mammal primarily used for labor or work purposes?

Iteration 5

PyFunc

Resulting in output: 6. That rules out some common farm animals. Is this mammal primarily used for labor or work purposes?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 6. That rules out some common farm animals. Is this mammal primarily used for labor or work purposes?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

7. Okay, so it's not used for food or labor. Is this domesticated mammal typically kept for companionship or as a pet on a farm?

Iteration 6

PyFunc

Resulting in output: 7. Okay, so it's not used for food or labor. Is this domesticated mammal typically kept for companionship or as a pet on a farm?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 7. Okay, so it's not used for food or labor. Is this domesticated mammal typically kept for companionship or as a pet on a farm?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

8. Is this animal smaller in size compared to most farm animals like cows or horses?

Iteration 7

PyFunc

Resulting in output: 8. Is this animal smaller in size compared to most farm animals like cows or horses?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 8. Is this animal smaller in size compared to most farm animals like cows or horses?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

9. Is this animal commonly known for its ability to provide companionship and is often seen with farm families?

Iteration 8

PyFunc

Resulting in output: 9. Is this animal commonly known for its ability to provide companionship and is often seen with farm families?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 9. Is this animal commonly known for its ability to provide companionship and is often seen with farm families?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

10. Does this animal have a reputation for being friendly and sociable?

Iteration 9

PyFunc

Resulting in output: 10. Does this animal have a reputation for being friendly and sociable?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 10. Does this animal have a reputation for being friendly and sociable?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes.

PyFunc

Resulting in output: Yes.

LLM Generation

Query

Yes.

Output

11. Is this animal a type of pet that is often associated with children?

Iteration 10

PyFunc

Resulting in output: 11. Is this animal a type of pet that is often associated with children?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 11. Is this animal a type of pet that is often associated with children?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

12. Is this animal known for being more independent and less reliant on humans compared to typical house pets?

Iteration 11

PyFunc

Resulting in output: 12. Is this animal known for being more independent and less reliant on humans compared to typical house pets?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 12. Is this animal known for being more independent and less reliant on humans compared to typical house pets?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

13. Given that it's a smaller, independent farm animal, is this mammal typically categorized as a type of livestock?

Iteration 12

PyFunc

Resulting in output: 13. Given that it's a smaller, independent farm animal, is this mammal typically categorized as a type of livestock?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 13. Given that it's a smaller, independent farm animal, is this mammal typically categorized as a type of livestock?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

14. Is this animal commonly kept for its fur or fiber?

Iteration 13

PyFunc

Resulting in output: 14. Is this animal commonly kept for its fur or fiber?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 14. Is this animal commonly kept for its fur or fiber?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

Yes

PyFunc

Resulting in output: Yes

LLM Generation

Query

Yes

Output

15. Is this animal a sheep?

Iteration 14

PyFunc

Resulting in output: 15. 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: 15. 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

16. Is this animal a goat?

Iteration 15

PyFunc

Resulting in output: 16. 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: 16. 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

17. Is this animal a type of pig?

Iteration 16

PyFunc

Resulting in output: 17. Is this 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: 17. Is this 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

18. Is this animal a rabbit?

Iteration 17

PyFunc

Resulting in output: 18. Is this animal a rabbit?

LLM Generation

Query

I'm playing 20 questions with someone. I'm thinking of a Llama. Here's their question: 18. Is this animal a rabbit?. Answer either 'Yes' or 'No'; do not answer anything else.

Output

No.

PyFunc

Resulting in output: No.

LLM Generation

Query

No.

Output

19. Is this animal a type of alpaca or llama?

PyFunc

Resulting in output: True