thinkR is an R package that enables o-1 like chain of thoughts using ollama.
To install ceLLama, use the following command:
devtools::install_github("eonurk/thinkR")Download Ollama.
Select your preferred model. For instance, to run the Llama3 model, use the following terminal command:
ollama run llama3.1This initiates a local server, which can be verified by visiting http://localhost:11434/. The page should display “Ollama is running”.
library(thinkR)
thinkr_addin()thinkR.mp4
Q: How many ’R’s are in strawberry?
library(thinkR)
## Usage example
ollama <- OllamaHandler$new(model = "llama3.1")
result <- generate_response("How many 'R's are in strawberry?", ollama)Thinking…
## Step 1 : Reasoning Step
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## ```
##
## Reasoning Step 2: Approach 1 - Manual Counting
##
## ```json
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## ```
##
## Reasoning Step 3: Approach 2 - Pattern Recognition
##
## ```json
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## ```
##
## Reasoning Step 4: Alternative Count Method
##
## ```json
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors
## Time: 26.6743881702423 s
##
## Step 2 : Reasoning Step
## Here's the revised response with the next step:
##
##
## ```json
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'strawberry' again, I confirm that there are indeed two occurrences of the letter 'R', as initially counted in both the manual and pattern recognition methods.",
## "confidence": 98,
## "next_action": "final_answer"
## }
## ```
##
## Reasoning Step 5: Confidence Level Validation
##
## ```json
## {
## "title": "Confidence Level Validation",
## "content": "Given that both manual counting and pattern recognition approaches independently confirm the presence of two 'R's, I have high confidence in this answer. This validation step ensures the reliability of my reasoning chain.",
## "confidence": 99,
## "next_action": "final_answer"
## }
## ```
##
## The final answer is: $\boxed{2}$
## Time: 18.4936249256134 s
##
## Step 3 : Reasoning Step
## Here is the complete JSON response:
##
##
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors",
## "confidence": 85,
## "next_action": "continue"
## }
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'strawberry' again, I
## Time: 28.58318400383 s
##
## Step 4 : Reasoning Step
## Here is the complete JSON response:
##
##
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors",
## "confidence": 85,
## "next_action": "continue"
## }
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'strawberry' again, I
## Time: 30.5651700496674 s
##
## Step 5 : Reasoning Step
## Here is the complete JSON response:
##
##
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors",
## "confidence": 85,
## "next_action": "continue"
## }
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'strawberry' again, I
## Time: 31.5878710746765 s
##
## Step 6 : Reasoning Step
## Here is the complete JSON response:
##
##
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors",
## "confidence": 85,
## "next_action": "continue"
## }
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'strawberry' again, I
## Time: 32.4799299240112 s
##
## Step 7 : Reasoning Step
## It seems like you are sharing a JSON response that contains multiple "steps" or approaches to solving a problem.
##
## To answer your question directly: The step that leverages understanding of linguistic patterns is mentioned in the third part of the JSON response, titled "Pattern Recognition Method".
##
## Here's the relevant text:
##
## "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns."
## Time: 17.4148399829865 s
##
## Step 8 : Reasoning Step
## It seems like you want to discuss something. What's on your mind? I'm here to listen and help if I can!
## Time: 10.5834898948669 s
##
## Step 9 : Reasoning Step
## It looks like there is a partial JSON response provided earlier:
##
##
## ```json
## {
## "title": "Initial Problem Decomposition",
## "content": "The task involves counting the number of times the letter 'R' appears in the word 'strawberry'. This requires analyzing the composition and structure of the given word.",
## "confidence": 95,
## "next_action": "continue"
## }
## {
## "title": "Manual Counting Method",
## "content": "I will manually go through each letter in 'strawberry': S-T-R-A-W-B-E-R-R-Y. This approach involves visually identifying and counting the occurrences of 'R'.",
## "confidence": 92,
## "next_action": "continue"
## }
## {
## "title": "Pattern Recognition Method",
## "content": "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns.",
## "confidence": 88,
## "next_action": "continue"
## }
## {
## "title": "Alternative Counting Approach",
## "content": "Considering the possibility that my initial count might be incorrect, I will re-check the word for any potential duplicates or errors",
## "confidence": 85,
## "next_action": "continue"
## }
## {
## "title": "Alternative Count Method Confirmation",
## "content": "Upon reviewing the word 'straw
## Time: 35.7588219642639 s
##
## Step 10 : Reasoning Step
## It seems like you are sharing a JSON response that contains multiple "steps" or approaches to solving a problem.
##
## To answer your question directly: The step that leverages understanding of linguistic patterns is mentioned in the third part of the JSON response, titled "Pattern Recognition Method".
##
## Here's the relevant text:
##
## "Recognizing that 'strawberry' ends with a repeated sequence of letters ('R-Y'), I can infer the presence of an additional 'R'. This step leverages understanding of linguistic patterns."
##
## This approach uses pattern recognition to understand how words are typically structured, which helps in solving the problem.
## Time: 19.26251912117 s
##
## Step 11 : Reasoning Step
## It seems like you're trying to discuss something related to counting and word analysis.
##
## To summarize our conversation:
##
## * You provided a JSON response with multiple steps or approaches to solving a problem.
## * One of those steps is titled "Pattern Recognition Method" and involves leveraging understanding of linguistic patterns.
## * This approach recognizes that the word "strawberry" ends with a repeated sequence of letters ("R-Y") and infers the presence of an additional 'R'.
##
## If you'd like to discuss this further or explore other approaches, I'm here to listen and help!
## Time: 18.4433751106262 s
##
## Final Answer
## Based on the analysis provided earlier, the final answer is:
##
## **The letter "R" appears 3 times in the word "strawberry".**
##
## This conclusion was reached by leveraging understanding of linguistic patterns, as described in the "Pattern Recognition Method" step. By recognizing that "strawberry" ends with a repeated sequence of letters ("R-Y"), it can be inferred that there are indeed two 'R's present. The manual count or alternative counting approach would also confirm this result.
##
## Therefore, the final answer is 3!
## Time: 19.0463080406189 s
## Total thinking time: 288.89 s
A: Therefore, the final answer is 3!
Note
This output is cherry-picked from llama3.1… because 70b was a lot to download for my internet connection.
Cursor is a great tool <3
This project is licensed under the MIT License
ThinkR now includes an RStudio addin with a chat interface for easy interaction with the AI assistant. To use the addin:
- Go to Addins > ThinkR Assistant in the RStudio menu.
- A chat interface will open in a new window.
- Enter your question or code in the text area and click "Submit".
- The AI's response will be displayed in the chat history.
You can also customize the model, temperature, and top_p parameters for each query.