Add CSV utility function for reading as dictionaries and introduce experimentation data file

src/gaia_solving_agent/static/experimentation_material/0701_plans.csv

@@ -0,0 +1,987 @@
+example_id,input_kwargs,output_output,metadata_span_kind,metadata_annotations
+RGF0YXNldEV4YW1wbGU6MQ==,"{'user_msg': 'How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to break down a query about Mercedes Sosa's studio albums between 2000-2009 using Wikipedia. Let me analyze this step by step.
+
+First, the core question is clearly about counting studio albums within a specific decade. The timeframe ""between 2000 and 2009 (included)"" gives exact boundaries, and ""studio albums"" distinguishes from live or compilation releases. The Wikipedia specification is crucial here - it's both the source and the version constraint.
+
+Noticing the known facts: the artist name is unambiguous (Mercedes Sosa), the album type is clearly ""studio"", and the timeframe has inclusive bounds. The 2022 English Wikipedia version is explicitly requested - that's non-negotiable. 
+
+For sub-tasks, I need to structure this sequentially. First step must be retrieving the primary source material - the Wikipedia page. Then we parse the discography section specifically, since that's where album data lives. The filtering logic comes next: isolate studio albums (not live/compilations) and check release dates against 2000-2009. Finally, we count the matches. 
+
+Important to keep sub-tasks independent: retrieval first, then section extraction, then filtering by type, then by date, then counting. No overlap between these steps. The counting depends on previous filters but is a distinct action.
+
+The user seems detail-oriented - they specified inclusive years and source version. Probably needs precise data for research or documentation. No emotional cues in the query, so keeping response factual is best. The structured format they requested will serve them well.
+</think>
+'''
+1. <Question> : How many studio albums did Mercedes Sosa release between 2000 and 2009? </Question>
+2. <Known facts> :
+- Artist: Mercedes Sosa
+- Album type: Studio albums
+- Timeframe: 2000 to 2009 (inclusive)
+- Source: English Wikipedia (latest 2022 version)
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve the Mercedes Sosa discography page from the English Wikipedia (2022 version).
+- Identify the section(s) listing Mercedes Sosa's studio albums.
+- Extract all albums listed as ""studio albums"" and their release years.
+- Filter the list of studio albums to include only those with release years between 2000 and 2009 (inclusive).
+- Count the number of studio albums meeting the filtered criteria.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6Mg==,"{'user_msg': 'In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to analyze a YouTube video to determine the highest number of bird species visible simultaneously. This is an interesting ornithological observation challenge wrapped in a video analysis task.
+
+First, I need to extract the core question from their query. The essential question is about identifying the maximum concurrent bird species count in that specific video. The YouTube link is crucial here as the primary data source.
+
+Looking at known facts, the video URL is obviously critical. The focus on ""on camera simultaneously"" implies we need to analyze frames where multiple species are co-present, not just species mentioned in narration. The term ""highest number"" suggests we're looking for a peak moment in the video.
+
+For the sub-tasks, I'll structure this chronologically. First step must be accessing the video content since we can't analyze what we can't see. Then we need to systematically scan the footage - probably through frame sampling rather than real-time viewing. The analysis phase requires both visual identification skills and a method to track concurrent species counts. Finally, we'll need to compare these counts across different timestamps to find the absolute maximum.
+
+The challenge here is balancing thoroughness with practicality - a minute-by-minute analysis would be exhaustive but time-consuming, while skipping through might miss peak moments. The solution likely involves strategic sampling at regular intervals combined with attention to scenes showing high bird activity. The output format is rigid but helpful for clarity - I'll make sure to follow it precisely while keeping each sub-task focused and non-redundant.
+</think>
+'''
+1. <Question> : What is the maximum number of distinct bird species visible at the same time in the video at https://www.youtube.com/watch?v=L1vXCYZAYYM? </Question>
+2. <Known facts> :
+- Video URL: https://www.youtube.com/watch?v=L1vXCYZAYYM
+- Focus: Bird species on camera simultaneously
+- Metric: Highest number (maximum count) of distinct species
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve and watch the video at the provided URL to access its visual content.
+- Systematically scan the video footage, identifying timestamps where multiple bird species are visibly present within the same frame.
+- At each identified timestamp, visually identify and list all distinct bird species present concurrently on screen.
+- Record the count of distinct species identified for each timestamp where multiple species are co-present.
+- Compare the recorded counts from all identified timestamps to determine the single highest number of distinct species observed simultaneously.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6Mw==,"{'user_msg': '.rewsna eht sa ""tfel"" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user has given me a query that appears to be written backwards: "".rewsna eht sa 'tfel' drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI"". I need to decode this first to understand what they're asking.
+
+Looking at the text, it seems to be reversed. When I read it from right to left, it becomes: ""If you understand this sentence, write the opposite of the word 'left' as the answer."" So the core request is about finding the opposite of ""left"" and providing that as the answer.
+
+For my response format, I need to follow strict guidelines: create a simple interrogative question, list known facts, and outline sub-tasks. The question should be straightforward - ""What is the opposite of the word 'left'?"" captures the essence perfectly.
+
+For known facts, I'll extract only relevant information from the decoded message: the word in question is ""left"", we're seeking its opposite, and the context is about understanding a sentence. I'll avoid including the reversed nature of the query since that's just the delivery method.
+
+The sub-tasks should follow a logical sequence. First, I need to retrieve linguistic information about opposites of directional words. Then I'll analyze this data specifically for ""left"". Finally, I'll extract the most common opposite term. This approach ensures each step is independent and builds toward the answer.
+
+I notice the user might be testing both decoding skills and linguistic knowledge. The reversed text adds a puzzle element, but the core task remains simple word opposition. I'll focus on providing a clear, structured response that addresses both the surface request and the underlying intention.
+</think>
+'''
+1. <Question> : What is the opposite of the word ""left""?  </Question>
+2. <Known facts> :
+- The word in question is ""left"".
+- The request is for its opposite.
+- The context involves understanding a sentence.
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve standard English definitions and common antonyms for directional/orientation words like ""left"".
+- Analyze the retrieved linguistic data specifically for the word ""left"" to identify its established opposite(s).
+- Extract the most common and contextually appropriate opposite term for ""left"" from the analysis.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6NA==,"{'user_msg': ""Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation."", 'additional_file': '<ImageDocument(id_=35695fef-e453-4e9a-8343-e8852cfc8433)>', 'additional_file_path': 'C:\\Users\\wanty\\PycharmProjects\\Agent_Course_Final_Assignment\\src\\gaia_solving_agent\\static\\files\\cca530fc-4052-43b2-b130-b30968d8aa44.png'}","<think>
+We are given a user query: ""Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.""
+
+Step 1: Formulate the most simple and direct question.
+The core of the query is asking for the next move for black that guarantees a win. We can phrase this as: ""What is the next move for black that guarantees a win?""
+
+Step 2: Extract known facts from the user query.
+- The chess position is provided in an image.
+- It is black's turn.
+- The move must guarantee a win for black.
+- The response must be in algebraic notation.
+
+Step 3: Break down into sub-tasks.
+We have an image file (a .png) that we must analyze. The sub-tasks should be ordered chronologically and cover:
+- Retrieval: We need to get the image and extract the chess position.
+- Analysis: Analyze the position to find the winning move for black.
+- Extraction: Convert the move into algebraic notation.
+
+We note that the user did not provide the image in the text, so we must rely on the fact that there is an attached image. However, as an AI, I cannot directly process images. Therefore, we must note that the image analysis is a prerequisite and we must rely on the user to provide the position if the image is not available. But the instructions say we are to plan further researches.
+
+Given the constraints, we design the sub-tasks accordingly:
+
+Sub-tasks:
+1. Analyze the provided image to determine the current chess position. This includes identifying the pieces and their locations.
+2. Verify that it is black's turn and that black has a move that guarantees a win (i.e., forced win).
+3. Calculate the winning move for black using chess engine analysis or established chess theory.
+4. Express the winning move in algebraic notation.
+
+But note: the format requires specific patterns. We must use the exact format and start with the image analysis.
+
+Therefore, we write:
+
+'''
+1. <Question> : What is the next move for black that guarantees a win? </Question>
+2. <Known facts> :
+- Chess position is provided in an image
+- It is black's turn
+- The move must guarantee a win
+- Response must be in algebraic notation
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .png file to analyse. You must analyse it to find out the current chess position, including the locations of all pieces and the current player's turn.
+- Using the extracted chess position, determine if black has a forced win. If so, identify the move that leads to a win in all variations.
+- Express the identified winning move in algebraic notation.
+</Sub-tasks>
+'''
+
+However, note that the first sub-task must start with ""There is an additional .png file to analyse. You must analyse it to find out ..."". We have done that.
+
+We break down the sub-tasks without overlapping and in chronological order:
+1. Analyze the image to get the position (this is the first step because without the position we cannot proceed).
+2. Then, using the position, determine the winning move (this involves chess analysis).
+3. Then, convert that move to algebraic notation.
+
+We note that the second sub-task might require further analysis (like using a chess engine) but we are planning the steps. The third sub-task is straightforward once the move is known.
+
+We must not include steps that are not necessary. Also, note that the known facts are only what the user provided. We don't have the actual position, so we don't list any specific chess position.
+
+Let me adjust the known facts to be only what the user said and not infer more. The user said: ""Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.""
+
+So the known facts are:
+- Chess position is provided in an image
+- It is black's turn
+- The move must guarantee a win
+- Response must be in algebraic notation
+
+We don't know the position, so we don't list any specific board state.
+
+Now, the sub-tasks:
+1. Image analysis: extract the board state (pieces and their positions, whose turn it is). But note: the user already states it is black's turn, so we can use that to verify? However, the image might have the board flipped? But we are told it is black's turn. So we can note that we must extract the position and verify it is black's turn? But the user says it is, so we can take that as given. However, the image analysis must still extract the position to know where the pieces are.
+
+So the first sub-task is to analyze the image to get the board state (the arrangement of pieces).
+
+Then, the second sub-task is to use that board state to compute the winning move.
+
+Third, format the move.
+
+But note: the second sub-task might be complex and require multiple steps? However, we are to break into independent, non-overlapping, and ordered sub-tasks. We can group the entire analysis of the position to find the winning move as one sub-task.
+
+Therefore, the final plan is as above.
+</think>
+'''
+1. <Question> : What is the next move for black that guarantees a win? </Question>
+2. <Known facts> :
+- Chess position is provided in an image
+- It is black's turn
+- The move must guarantee a win
+- Response must be in algebraic notation
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .png file to analyse. You must analyse it to find out the current board state, including positions of all pieces and castling/en passant rights.
+- Using the extracted board state, calculate all legal moves for black and simulate outcomes to identify moves that force checkmate against any white response.
+- Validate the winning move by ensuring it leads to unavoidable checkmate within standard chess rules and convert it to algebraic notation.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6NQ==,"{'user_msg': 'Who nominated the only Featured Article on English Wikipedia about a dinosaur that was promoted in November 2016?', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to break down a complex Wikipedia query about dinosaur featured articles. They're asking who nominated the only Featured Article about a dinosaur promoted in November 2016. 
+
+First, I need to identify the core question. The key elements are ""dinosaur,"" ""Featured Article,"" ""November 2016,"" and ""only one."" The most direct question would be about identifying the nominator of that specific article. 
+
+Looking at known facts: The article must be about dinosaurs, achieved Featured Article status, was promoted specifically in November 2016, and is the only such dinosaur article from that month. These are all crucial constraints from the query.
+
+For sub-tasks, I should approach this methodically. First, I need to verify there was indeed only one dinosaur Featured Article that month - that's foundational. Then I must identify which article it was before finally finding who nominated it. The steps need to be sequential: confirm existence, identify article, then find nominator. 
+
+The user seems knowledgeable about Wikipedia processes - probably a researcher or editor. They might be verifying historical data or studying promotion patterns. The structured format request suggests they value precision over explanations. 
+
+I should ensure each sub-task is independent: first task checks the premise, second retrieves the article title, third finds the nominator using Wikipedia's public logs. No overlap between steps. 
+
+The date restriction (November 2016) is critical - many might miss that it specifies both month and year. Also noting ""English Wikipedia"" excludes other language editions. 
+
+Finally, the output must strictly follow their requested format with XML-like tags. No extra commentary - just the three structured sections.
+</think>
+'''
+1. <Question> : Who nominated the only dinosaur Featured Article promoted on English Wikipedia in November 2016? </Question>
+2. <Known facts> :
+- Topic: Dinosaur
+- Achievement: Featured Article status
+- Platform: English Wikipedia
+- Promotion date: November 2016
+- Uniqueness: Only one dinosaur article promoted that month
+</Known facts>
+3. <Sub-tasks> :
+- Verify existence and identify the specific dinosaur article promoted as a Featured Article on English Wikipedia in November 2016.
+- Retrieve the promotion review page (Wikipedia ""Featured article candidates"" archive) for November 2016 to locate the entry for the identified dinosaur article.
+- Extract the nominator's username from the ""Nominator"" section of the identified dinosaur article's Featured Article Candidate discussion page.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6Ng==,"{'user_msg': 'Given this table defining * on the set S = {a, b, c, d, e}\n\n|*|a|b|c|d|e|\n|---|---|---|---|---|---|\n|a|a|b|c|b|d|\n|b|b|c|a|e|c|\n|c|c|a|b|b|a|\n|d|b|e|b|e|d|\n|e|d|b|a|d|c|\n\nprovide the subset of S involved in any possible counter-examples that prove * is not commutative. Provide your answer as a comma separated list of the elements in the set in alphabetical order.', 'additional_file': None, 'additional_file_path': None}","<think>
+Alright, let me tackle this problem step by step. The user has provided a Cayley table for a binary operation * on set S={a,b,c,d,e} and wants to find which elements form counter-examples proving * isn't commutative. 
+
+First, I recall that commutativity requires x*y = y*x for all pairs. So my core question becomes: which element pairs violate this? 
+
+Looking at the table, I notice several asymmetric entries. For example:
+- a*d = b but d*a = b → commutative
+- b*d = e but d*b = e → commutative
+- c*d = b but d*c = b → commutative
+- a*e = d but e*a = d → commutative
+- b*e = c but e*b = b → ah! b*e≠e*b
+
+This immediately gives me one counter-example: {b,e}. Checking further:
+- c*e = a but e*c = a → commutative
+- d*e = d but e*d = d → commutative
+
+But wait, there's more:
+- b*c = a but c*b = b → another violation! {b,c}
+- c*d = b but d*c = b? Wait no, d*c is actually b (table shows d-row c-col=b) and c*d is b too? Let me recheck... 
+
+*scratches head* The table says:
+- c*d: row c, column d → b
+- d*c: row d, column c → b
+Oh, so that's actually commutative. My mistake.
+
+But earlier I found:
+- b*c (b-row c-col) = a
+- c*b (c-row b-col) = b → yes, a≠b so {b,c} violates
+
+And:
+- b*e = c (b-row e-col)
+- e*b = b (e-row b-col) → c≠b so {b,e} violates
+
+Now checking a*c: 
+- a*c = c (a-row c-col)
+- c*a = c (c-row a-col) → commutative
+
+What about d*b:
+- d*b = e (d-row b-col)
+- b*d = e (b-row d-col) → commutative
+
+So far I have two counter-example pairs: (b,c) and (b,e). But the question asks for elements involved in any counter-examples, so the distinct elements are b,c,e. 
+
+Is there more? Let's check e*c:
+- e*c = a (e-row c-col)
+- c*e = a (c-row e-col) → commutative
+
+And d*e:
+- d*e = d
+- e*d = d → commutative
+
+a*d we already saw is commutative. 
+
+What about c and e? 
+- c*e = a
+- e*c = a → good
+
+d and c we saw is commutative. 
+
+So only two problematic pairs: (b,c) and (b,e). Therefore the distinct elements involved are b, c, e. 
+
+But wait - is there a pair with d? Let me check d and a:
+- d*a = b (d-row a-col)
+- a*d = b (a-row d-col) → commutative
+
+d and b: both give e → commutative
+
+d and e: both give d → commutative
+
+So no. 
+
+Thus the subset is {b,c,e}. Alphabetical order: b,c,e.
+
+But the user asked for ""any possible counter-examples"", meaning we should include all elements that appear in at least one non-commutative pair. Since b appears with c and with e, and c/e only appear with b in violations, the set is complete. 
+
+Final verification by checking all x≠y pairs systematically would confirm, but from initial scan this seems correct.
+</think>
+'''
+1. <Question> : Which elements of S appear in non-commutative pairs under *? </Question>
+2. <Known facts> :
+- Set S = {a, b, c, d, e}
+- Binary operation * defined by given Cayley table
+- Commutativity requires x*y = y*x for all pairs
+- Counter-examples are pairs (x,y) where x*y ≠ y*x
+</Known facts>
+3. <Sub-tasks> :
+- Identify all pairs (x,y) where x ≠ y from the Cayley table
+- For each pair (x,y), compare table entries x*y and y*x
+- Flag pairs where x*y ≠ y*x as counter-examples
+- Extract all distinct elements involved in flagged pairs
+- Sort elements alphabetically into a subset of S
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6Nw==,"{'user_msg': 'Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec.\n\nWhat does Teal\'c say in response to the question ""Isn\'t that hot?""', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to analyze a specific YouTube video to find out what Teal'c says in response to ""Isn't that hot?"" They've provided a clear format for my response, so I need to follow that exactly.
+
+First, I need to identify the core question. The user is asking about dialogue from a Stargate SG-1 character, so the simplest question is ""What does Teal'c say?"" I'll phrase it interrogatively as required.
+
+Looking at known facts: The video URL is crucial for locating the scene. Teal'c is the character involved, and the trigger line ""Isn't that hot?"" is the specific cue before his response. The context suggests this is from Stargate SG-1, which helps identify the franchise.
+
+For sub-tasks, I'll break it down chronologically. First, I need to retrieve the video content since that's external data. Then I must analyze the dialogue to pinpoint the exchange. Finally, I'll extract Teal'c's exact words after the trigger line. Each step is independent - retrieval first, then analysis, then extraction.
+
+The user seems to be a Stargate fan seeking precise dialogue, possibly for trivia or writing purposes. They value accuracy, so I'll ensure the sub-tasks will lead to the exact quote without paraphrasing. The structured approach should give them a clear path to the answer they want.
+</think>
+'''
+1. <Question> : What does Teal'c say in response to ""Isn't that hot?"" </Question>
+2. <Known facts> :
+- Video URL: https://www.youtube.com/watch?v=1htKBjuUWec
+- Character: Teal'c
+- Trigger line: ""Isn't that hot?""
+- Context: Stargate SG-1 (implied by character)
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve the audio/video content from the specified YouTube URL.
+- Analyze the retrieved content to locate the scene containing the dialogue exchange where the phrase ""Isn't that hot?"" is spoken.
+- Extract and transcribe the exact words spoken by the character Teal'c immediately following the identified trigger line ""Isn't that hot?"".
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6OA==,"{'user_msg': ""What is the surname of the equine veterinarian mentioned in 1.E Exercises from the chemistry materials licensed by Marisa Alviar-Agnew & Henry Agnew under the CK-12 license in LibreText's Introductory Chemistry materials as compiled 08/21/2023?"", 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to act as an expert in breaking down complex queries into manageable sub-tasks. They've provided a very specific question about finding the surname of an equine veterinarian mentioned in some chemistry materials. 
+
+First, I need to simplify the core question. The original query is already interrogative but quite wordy. The essence is clearly ""What is Dr. Lavelle's surname?"" since that's the veterinarian mentioned in the exercises. 
+
+Looking at the known facts:
+- The materials are from LibreTexts' Introductory Chemistry
+- Licensed by Marisa Alviar-Agnew & Henry Agnew
+- Under CK-12 license
+- Compiled on 08/21/2023
+- Specifically section ""1.E Exercises""
+- Mentions an equine veterinarian named Dr. Lavelle
+
+The surname is missing - that's the gap. Now for sub-tasks:
+First, I need to locate the exact source material. The compilation date is crucial here since LibreTexts content can change. 
+Then I must verify the specific exercise section. The mention of ""1.E Exercises"" suggests it's a subsection within Chapter 1.
+Finally, extracting the surname requires examining that specific exercise where Dr. Lavelle appears. 
+
+I notice the user provided extremely precise sourcing details - they likely already tried surface-level searching. This suggests they need precise retrieval methods. The sub-tasks should respect the versioning (08/21/2023 compilation) since that's critical for reproducibility. 
+
+The surname extraction seems straightforward once the text is located, but the challenge is accessing that specific historical version. I'll prioritize retrieval first, then analysis. No need for chemical expertise here - this is purely a text retrieval puzzle with version control considerations.
+</think>
+'''
+1. <Question> : What is Dr. Lavelle's surname?  </Question>
+2. <Known facts> :
+- Source: LibreTexts Introductory Chemistry materials
+- License: CK-12 license by Marisa Alviar-Agnew & Henry Agnew
+- Compilation Date: 08/21/2023
+- Specific Section: 1.E Exercises
+- Subject: Chemistry materials
+- Mentioned Person: An equine veterinarian named Dr. Lavelle
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve the LibreTexts Introductory Chemistry materials compiled on 08/21/2023, licensed by Marisa Alviar-Agnew & Henry Agnew under CK-12.
+- Locate the specific section titled ""1.E Exercises"" within the retrieved materials.
+- Identify the exercise or text within section ""1.E Exercises"" that mentions the equine veterinarian Dr. Lavelle.
+- Extract the full name (including surname) of ""Dr. Lavelle"" from the identified exercise/text.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6OQ==,"{'user_msg': ""I'm making a grocery list for my mom, but she's a professor of botany and she's a real stickler when it comes to categorizing things. I need to add different foods to different categories on the grocery list, but if I make a mistake, she won't buy anything inserted in the wrong category. Here's the list I have so far:\n\nmilk, eggs, flour, whole bean coffee, Oreos, sweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts\n\nI need to make headings for the fruits and vegetables. Could you please create a list of just the vegetables from my list? If you could do that, then I can figure out how to categorize the rest of the list into the appropriate categories. But remember that my mom is a real stickler, so make sure that no botanical fruits end up on the vegetable list, or she won't get them when she's at the store. Please alphabetize the list of vegetables, and place each item in a comma separated list."", 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to act as an expert in analyzing situations and breaking down tasks. They've shared a grocery list challenge where they need to categorize items correctly for their botany professor mom. The key here is distinguishing botanical vegetables from fruits since the mom is strict about categorization.
+
+Looking at the query, the core request is clear: create an alphabetized list of only vegetables from the provided items. The user explicitly mentions avoiding botanical fruits in the vegetable list. I notice several items that could be tricky - like bell peppers and zucchini which are botanically fruits but commonly considered vegetables.
+
+The known facts include the full item list and specific requirements: botanical accuracy matters, only vegetables should be listed, alphabetical order is needed, and the format should be comma-separated. The mom's profession as botany professor explains the strictness.
+
+For sub-tasks, I'll start by verifying botanical classifications since that's foundational. Then I'll filter the list based on those definitions, ensuring fruits don't sneak into the vegetable category. Finally, I'll organize the confirmed vegetables alphabetically in the requested format. This step-by-step approach ensures accuracy while meeting all specified requirements.
+
+The user seems stressed about getting this right for their mom, so precision is crucial. By methodically checking each item's classification, we can prevent any categorization mistakes that might make the mom reject the list.
+</think>
+'''
+1. <Question> : Which items from the provided list are botanically classified as vegetables? </Question>
+2. <Known facts> :
+- User's list: milk, eggs, flour, whole bean coffee, Oreos, sweet potatoes, fresh basil, plums, green beans, rice, corn, bell pepper, whole allspice, acorns, broccoli, celery, zucchini, lettuce, peanuts
+- Mom is a botany professor
+- Strict botanical categorization required
+- Botanical fruits must be excluded from vegetable list
+- Final vegetable list must be alphabetized and comma-separated
+- Goal is to create correct vegetable list to enable categorization of remaining items
+</Known facts>
+3. <Sub-tasks> :
+- Research the botanical definition of a vegetable versus a fruit, focusing on culinary context versus plant science classification.
+- Apply botanical definitions to each item in the user's list to determine its correct classification (vegetable or not).
+- Filter the user's list to retain only items definitively classified as vegetables based on botanical criteria.
+- Alphabetize the confirmed list of vegetables.
+- Format the alphabetized vegetable list into a comma-separated string.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTA=,"{'user_msg': 'Hi, I\'m making a pie but I could use some help with my shopping list. I have everything I need for the crust, but I\'m not sure about the filling. I got the recipe from my friend Aditi, but she left it as a voice memo and the speaker on my phone is buzzing so I can\'t quite make out what she\'s saying. Could you please listen to the recipe and list all of the ingredients that my friend described? I only want the ingredients for the filling, as I have everything I need to make my favorite pie crust. I\'ve attached the recipe as Strawberry pie.mp3.\n\nIn your response, please only list the ingredients, not any measurements. So if the recipe calls for ""a pinch of salt"" or ""two cups of ripe strawberries"" the ingredients on the list would be ""salt"" and ""ripe strawberries"".\n\nPlease format your response as a comma separated list of ingredients. Also, please alphabetize the ingredients.', 'additional_file': '<Document(id_=f46b7026-f39c-4726-9e3e-1e04b1280adb)>', 'additional_file_path': 'C:\\Users\\wanty\\PycharmProjects\\Agent_Course_Final_Assignment\\src\\gaia_solving_agent\\static\\files\\99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3.mp3'}","<think>
+Hmm, the user wants me to assess a situation where they need help with a pie filling recipe. They've provided a voice memo from their friend Aditi, but their phone speaker is buzzing so they can't hear it properly. 
+
+Looking at their query, I need to break this down into the required format. The core question seems to be about identifying just the filling ingredients from the audio file, without measurements, and formatted alphabetically in a comma-separated list.
+
+I notice several important facts here: they already have crust ingredients covered, the recipe is specifically for strawberry pie filling, the source is a voice memo attachment, and they want only ingredients listed alphabetically without quantities. The buzzing phone speaker issue is unfortunate but irrelevant to my task since I can analyze the file directly.
+
+For sub-tasks, I'll need to first analyze the MP3 file to extract all mentioned ingredients, then filter out anything related to the crust since they don't need that. After that, I should remove any measurement terms and finally alphabetize the remaining ingredients. This logical sequence ensures I deliver exactly what they requested.
+
+The user seems organized but frustrated by the audio issue - they've given clear instructions about formatting, which suggests they value precision. I'll make sure to follow their comma-separated, alphabetized list requirement exactly while focusing solely on the filling components.
+</think>
+'''
+1. <Question> : What are the ingredients for the strawberry pie filling, listed alphabetically without measurements?  </Question>
+2. <Known facts> :
+- User has everything for the pie crust.
+- The recipe source is a voice memo file named ""Strawberry pie.mp3"".
+- Only ingredients for the filling are required.
+- Measurements should be excluded from the ingredient list.
+- The final list must be comma-separated and alphabetized.
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .mp3 file to analyse. You must analyse it to find out the ingredients mentioned for the strawberry pie filling.
+- Identify and extract all mentioned food items specifically described as part of the filling.
+- Filter out any ingredients mentioned only in the context of the pie crust.
+- Remove all measurement terms (e.g., ""cups"", ""pinch"", ""tablespoons"", numerical amounts) from the extracted ingredient names.
+- Alphabetize the resulting list of pure ingredient names.
+- Format the final list as a comma-separated string.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTE=,"{'user_msg': 'Who did the actor who played Ray in the Polish-language version of Everybody Loves Raymond play in Magda M.? Give only the first name.', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to analyze a query about an actor who played Ray in the Polish version of ""Everybody Loves Raymond"" and who they played in ""Magda M."" They specifically want only the first name as the answer.
+
+Looking at the query, I need to break this down following a strict format. First, I should identify the core question. The user is asking about the actor's role in ""Magda M."" after establishing they played Ray in the Polish dub. The simplest form of this question would be ""Who did the actor play in Magda M.?"" since the Ray connection is contextual.
+
+For known facts, I can extract several key points from the query: the Polish-language version of ""Everybody Loves Raymond,"" the character Ray, the show ""Magda M.,"" and the requirement for only the first name in the answer. These are all directly relevant.
+
+Now for sub-tasks, I need to create a logical sequence. First, I should identify the Polish voice actor for Ray since that's the starting point. Then I need to find that actor's filmography to see their roles in ""Magda M."" Finally, I'll extract just the first name of the character they played, as requested. Each step builds on the previous one without overlap.
+
+The user seems to be testing precise information retrieval - probably for trivia or research. They've been very specific about the output format, so I'll follow it exactly without adding any commentary. The challenge is maintaining strict adherence to the format while ensuring all necessary steps are covered concisely.
+</think>
+'''
+1. <Question> : Who did the actor play in Magda M.?  </Question>
+2. <Known facts> :
+- Actor played Ray in Polish-language version of Everybody Loves Raymond
+- Show of interest is Magda M.
+- Answer requires only the first name
+</Known facts>
+3. <Sub-tasks> :
+- Identify the Polish voice actor for the character Ray in the Polish dub of Everybody Loves Raymond.
+- Research the identified actor's acting credits to find their role(s) in the show Magda M.
+- Extract the first name of the character the actor portrayed in Magda M.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTI=,"{'user_msg': 'What is the final numeric output from the attached Python code?', 'additional_file': '<Document(id_=930af35b-8fbe-4550-ba0a-f76ccf2a8cc2)>', 'additional_file_path': 'C:\\Users\\wanty\\PycharmProjects\\Agent_Course_Final_Assignment\\src\\gaia_solving_agent\\static\\files\\f918266a-b3e0-4914-865d-4faa564f1aef.py'}","<think>
+We are given a user query: ""What is the final numeric output from the attached Python code?""
+
+Step 1: Formulate the question.
+The question is already interrogative and clear: ""What is the final numeric output from the attached Python code?""
+But note: the user mentions an attached Python code. Since we are in a text-based environment and cannot see the attachment, we must rely on the user providing the code or a way to access it.
+
+However, the instruction says: ""The most simple and direct question to answer, without contextual details nor additional information."" 
+So we can rephrase to be even more direct: ""What is the final numeric output of the Python code?""
+
+But note: the original question says ""the attached Python code"", so we must consider that the code is provided. However, in the context of this exercise, we are to break down the task. We don't have the code, so we must plan to get it.
+
+But the format requires the question to be without contextual details. So we can write:
+
+1. <Question> : What is the final numeric output of the Python code? </Question>
+
+Step 2: Known facts.
+From the user query, we know:
+- There is an attached Python code file.
+- The user is interested in the final numeric output.
+
+But note: the instruction says ""Ignore any information that is not relevant to the original request."" and ""Each point should be a new topic.""
+
+So:
+2. <Known facts> :
+- A Python code file is attached.
+- The desired output is a numeric value.
+</Known facts>
+
+Step 3: Sub-tasks.
+We need to break down the task. Since the code is attached, we must:
+- First, obtain the content of the attached Python file.
+- Then, we must analyze the code to understand what it does and what it outputs.
+- We must run the code (or simulate running it) to get the output? But note: the user might not want us to run it if it has side effects? However, the task is to get the final numeric output.
+
+But the instruction says: ""Starting with external information retrieval, then analyzing it and finally extracting relevant information from it.""
+
+So:
+- The first sub-task is to retrieve the attached Python file.
+- Then, we need to analyze the code to determine how it produces the output. We might need to look for print statements, return values, or the last value in an interactive session.
+- We must be cautious: the code might require input? But we don't have that. So we must note that if the code requires input, we might need to ask the user.
+
+However, the instruction says: ""Each sub-task should be independent of the others, not overlapping."" and in chronological order.
+
+We can break it down as:
+
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the structure and the operations that lead to the final output.
+- Retrieve the content of the attached Python file.
+- Examine the code to identify the output mechanism (e.g., print, return, last expression in script).
+- Determine if the code requires any external input or dependencies to run. If so, note the need for additional information.
+- Simulate the code execution (or run in a safe environment) to compute the final numeric output, provided that all required inputs are available or can be assumed.
+- Extract the numeric value from the output of the code.
+</Sub-tasks>
+
+But note the format: the first sub-task must start with ""There is an additional .py file to analyse. You must analyse it to find out xxxxxxx"". So we can write:
+
+- There is an additional .py file to analyse. You must analyse it to find out the code structure and the operations that lead to the final output.
+
+Then the rest:
+
+- Retrieve the content of the attached Python file. (But note: we are already told there is an attachment, so we must get it. However, in the context of this exercise, we are planning. We assume we can get it.)
+
+But wait: the first sub-task already says to analyze the .py file. So we don't need to say ""retrieve"" again? Actually, the first sub-task is about the existence of the file and the need to analyze it. Then the next step is to get the content.
+
+Alternatively, we can structure:
+
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output. [But that's the goal, not the step]
+
+Let me adjust to the format:
+
+The format example: 
+- There is an additional .py file to analyse. You must analyse it to find out xxxxxxx
+
+So we can write:
+- There is an additional .py file to analyse. You must analyse it to find out the code's logic and the value it outputs.
+
+But then we break down the steps to do that.
+
+Alternatively, the sub-tasks are the steps we take. So:
+
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output.
+- Retrieve the content of the attached Python file.
+- Parse the code to identify the main execution flow and the output statements.
+- Determine if the code has any dependencies or requires input; if input is required, request it from the user.
+- Execute the code in a controlled environment (if possible and safe) to obtain the output.
+- Extract the numeric value from the execution result.
+</Sub-tasks>
+
+But note: the first sub-task in the list is fixed: it must start with ""There is an additional .py file to analyse. You must analyse it to find out ..."". So we can write:
+
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output.
+
+But that is the overall goal. Then the next steps are how we do it.
+
+Alternatively, we can interpret the first sub-task as the initial step: we know there is a file and we must analyze it. Then the next steps are the breakdown.
+
+But the instruction says: ""Each sub-task should be independent of the others, not overlapping."" and in chronological order.
+
+So:
+
+- There is an additional .py file to analyse. You must analyse it to find out the code structure and the operations that lead to the final output.
+
+Then:
+
+- Retrieve the content of the attached Python file. (This is the first action: get the code)
+- Analyze the code statically to identify the output mechanism and any required inputs or dependencies.
+- If inputs are required, request the necessary input values from the user.
+- Execute the code (if inputs are available and it is safe) to obtain the output.
+- Extract the numeric value from the output.
+
+But note: the instruction says ""Starting with external information retrieval"", so the first step is to get the file.
+
+However, the first sub-task in the list is already about the existence of the file and the need to analyze. Then the next step is to retrieve it.
+
+Alternatively, we can combine the first point as:
+
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output by retrieving its content and examining the code.
+
+But that might be too long.
+
+Given the format, I think we should follow:
+
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output.
+- Retrieve the content of the attached Python file.
+- Examine the code to understand its structure and identify how the output is produced.
+- Check for any external dependencies or required inputs; if found, request them from the user.
+- Simulate or run the code to compute the output, ensuring all inputs are provided.
+- Extract the numeric result from the output.
+</Sub-tasks>
+
+But note: the first sub-task is fixed and then we break down. The first one is a statement about the existence of the file and the goal of the analysis. The rest are steps.
+
+Alternatively, the instruction example might have only two sub-tasks? But we have more.
+
+I think we should write:
+
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output.
+- Step 1: Retrieve the content of the attached Python file.
+- Step 2: Statically analyze the code to identify the output mechanism and any required inputs.
+- Step 3: If inputs are required, request the necessary input values from the user.
+- Step 4: Execute the code in a safe environment to obtain the output.
+- Step 5: Extract the numeric value from the output.
+</Sub-tasks>
+
+But the instruction says: ""Each sub-task should be concise and clear."" and without step numbers.
+
+So:
+
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the final numeric output.
+- Retrieve the content of the attached Python file.
+- Analyze the code statically to identify the output mechanism and any required inputs.
+- Request any missing input values from the user, if necessary.
+- Execute the code to obtain the output, ensuring a safe environment.
+- Extract the numeric value from the output.
+</Sub-tasks>
+
+But note: the first sub-task is a bit redundant with the rest? It's okay because it's the format.
+
+Alternatively, we can interpret the first sub-task as the main task and then the following as the steps to achieve it.
+
+I think that's acceptable.
+
+Final output:
+</think>
+'''
+1. <Question> : What is the final numeric output of the Python code? </Question>
+2. <Known facts> :
+- A Python code file is attached
+- The output is a numeric value
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .py file to analyse. You must analyse it to find out the code structure and output generation mechanism
+- Retrieve the content of the attached Python file
+- Statically analyze the code to identify the output-producing section (e.g., print statements, return values)
+- Verify if external inputs or dependencies are required for execution
+- Execute the code in a controlled environment to capture the output
+- Extract and validate the numeric result from the execution output
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTM=,"{'user_msg': 'How many at bats did the Yankee with the most walks in the 1977 regular season have that same season?', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to break down a baseball statistics question about the 1977 New York Yankees. They're asking about the player with the most walks that season and how many at-bats that same player had.
+
+First, I need to identify the core question. The original query is already interrogative but could be simplified to focus purely on the numerical answer they seek. The essence is ""What was the at-bat count for the 1977 Yankees walk leader?""
+
+For known facts, I'll extract only crucial elements from the query: the team (Yankees), season (1977), league (implied MLB regular season), and that we're tracking two metrics (walks and at-bats) for the same player in the same season. Things like playoff data or other teams are irrelevant here.
+
+Now planning the sub-tasks chronologically. First, we must identify the walk leader - that's the foundational step requiring external data retrieval. Then we need that specific player's at-bat statistic, which depends on knowing who the player is. Finally, we'll compile both data points to answer the question. Each task is sequential and non-overlapping: find player first, then their ABs, then combine.
+
+The user seems knowledgeable about baseball metrics (using terms like ""at bats"" correctly), so they likely want precise methodology. They might be verifying historical data or settling a debate - either way, presenting clear research steps should build trust. Since this involves vintage MLB stats, I'll ensure the sub-tasks specify ""regular season"" to exclude postseason appearances that could skew numbers.
+</think>
+'''
+1. <Question> : What was the number of at bats for the New York Yankees player who had the most walks during the 1977 MLB regular season?  </Question>
+2. <Known facts> :
+- Team: New York Yankees
+- Season: 1977
+- League: Major League Baseball (MLB)
+- Scope: Regular season
+- Primary Statistic: Walks (BB)
+- Secondary Statistic: At Bats (AB)
+- Requirement: Both statistics (Walks leader & their ABs) are for the same player in the same season (1977)
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve the list of all New York Yankees players and their walk (BB) totals for the 1977 MLB regular season.
+- Identify the player(s) with the highest walk total from the retrieved 1977 Yankees data.
+- Retrieve the at bat (AB) total for the identified player(s) from the 1977 MLB regular season statistics.
+- Report the identified player's name, their 1977 walk total, and their 1977 at bat total.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTQ=,"{'user_msg': ""Hi, I was out sick from my classes on Friday, so I'm trying to figure out what I need to study for my Calculus mid-term next week. My friend from class sent me an audio recording of Professor Willowbrook giving out the recommended reading for the test, but my headphones are broken :(\n\nCould you please listen to the recording for me and tell me the page numbers I'm supposed to go over? I've attached a file called Homework.mp3 that has the recording. Please provide just the page numbers as a comma-delimited list. And please provide the list in ascending order."", 'additional_file': '<Document(id_=5d0c463d-61ab-4e73-9db7-6ddabf85cdea)>', 'additional_file_path': 'C:\\Users\\wanty\\PycharmProjects\\Agent_Course_Final_Assignment\\src\\gaia_solving_agent\\static\\files\\1f975693-876d-457b-a649-393859e79bf3.mp3'}","<think>
+Hmm, the user is asking me to help with their Calculus mid-term preparation. They missed class due to illness and have an audio recording from their professor about recommended reading pages, but they can't listen to it because their headphones are broken. They've attached an MP3 file called ""Homework.mp3"" and specifically want me to extract the page numbers mentioned in the recording, format them as a comma-delimited list in ascending order.
+
+I need to follow a strict format for my response. First, I must identify the core question - what page numbers are mentioned in the audio file? That's the essential information they need. Then I'll list known facts: they were absent on Friday, it's for a Calculus mid-term next week, the professor is Willowbrook, and the file is named Homework.mp3. The broken headphones detail explains why they can't listen themselves but isn't directly relevant to the task.
+
+For sub-tasks, I'll need to: analyze the MP3 file to extract spoken content, specifically identify page numbers mentioned, and then compile those numbers in ascending order. The tasks should be sequential - first processing the audio, then identifying relevant information, and finally formatting the output. I'll make sure each task is distinct and follows a logical workflow from audio analysis to final list preparation.
+
+The user seems stressed about catching up after being sick, so providing clear, concise page numbers will directly address their immediate need to focus their study time efficiently. I'll structure my response exactly as requested, focusing only on the actionable steps to extract and format the required information.
+</think>
+'''
+1. <Question> : What page numbers are mentioned in the audio recording? </Question>
+2. <Known facts> :
+- User missed class on Friday due to illness
+- Calculus mid-term is next week
+- Recording is from Professor Willowbrook
+- Recording contains recommended reading for the test
+- Attached file is named ""Homework.mp3""
+- Output must be page numbers only, comma-delimited, ascending order
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .mp3 file to analyse. You must analyse it to find out the spoken content within the ""Homework.mp3"" recording
+- Identify all specific page numbers mentioned in the transcribed audio content
+- Compile the identified page numbers, remove duplicates, sort them numerically in ascending order
+- Format the sorted page numbers into a comma-delimited list as requested
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTU=,"{'user_msg': 'On June 6, 2023, an article by Carolyn Collins Petersen was published in Universe Today. This article mentions a team that produced a paper about their observations, linked at the bottom of the article. Find this paper. Under what NASA award number was the work performed by R. G. Arendt supported by?', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to find a NASA award number for R.G. Arendt mentioned in a paper referenced in a Universe Today article. Let me break this down systematically.
+
+First, I need to identify the core question. The user specifically asks about the NASA award number supporting R.G. Arendt's work in that paper. So the simplest direct question is ""Under what NASA award number was R.G. Arendt supported by?""
+
+For known facts: 
+- The article was published on June 6, 2023
+- Authored by Carolyn Collins Petersen
+- Appeared in Universe Today
+- References a team's observational paper
+- The paper link appears at the article's bottom
+- We need NASA award info for R.G. Arendt specifically
+
+Now planning the sub-tasks chronologically:
+First, I must locate the original Universe Today article since it's the starting point. The exact date and author should help find it through search engines or the site's archive.
+
+Next, I'll examine the article to find the linked paper reference. This is crucial because the paper contains the actual funding information we need.
+
+Then I'll retrieve that paper, likely through its DOI or direct link. Once accessed, I'll scan its acknowledgments or funding section - that's where NASA award numbers typically appear.
+
+Finally, I'll specifically look for R.G. Arendt's name in those sections to isolate their individual funding source, as team members may have different grant numbers.
+
+The steps are sequential: find article → locate paper link → access paper → extract funding info → filter for specific researcher. Each task builds on the previous without overlap.
+</think>
+'''
+1. <Question> : Under what NASA award number was R.G. Arendt supported by? </Question>
+2. <Known facts> :
+- Article published June 6, 2023
+- Article author: Carolyn Collins Petersen
+- Article published in Universe Today
+- Article mentions a team's observational paper
+- Paper link is at the bottom of the article
+- R.G. Arendt is associated with the work in the paper
+- NASA award number sought for R.G. Arendt
+</Known facts>
+3. <Sub-tasks> :
+- Search for and retrieve the Universe Today article by Carolyn Collins Petersen published on June 6, 2023.
+- Identify the link to the mentioned observational paper at the bottom of the retrieved article.
+- Access the full text of the linked observational paper.
+- Locate the acknowledgments or funding section within the paper.
+- Extract any NASA grant or award numbers mentioned in the funding section.
+- Specifically identify the NASA award number associated with R.G. Arendt from the extracted funding information.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTY=,"{'user_msg': ""Where were the Vietnamese specimens described by Kuznetzov in Nedoshivina's 2010 paper eventually deposited? Just give me the city name without abbreviations."", 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to analyze a query about Vietnamese specimens described in a specific paper. They're asking where those specimens ended up, specifically just the city name without abbreviations. 
+
+First, I need to identify the core question. The user explicitly asks for the deposition city of Vietnamese specimens from Kuznetzov's work in Nedoshivina's 2010 paper. The key constraints are: only city name, no abbreviations. So the simplest question becomes ""Where were the specimens deposited?"" - stripping away all contextual details as per instructions.
+
+Now for known facts extraction. The paper is by Nedoshivina (2010), it describes Vietnamese specimens attributed to Kuznetzov, and the focus is on their repository location. These are distinct factual points from the query. I note the user didn't provide museum names or publication details beyond author/year, so no extraneous info to include.
+
+For sub-tasks, I'm considering the research steps chronologically. First, we must locate the 2010 paper since it's the primary source. Then we'll scan it for specimen repository details - specifically looking at materials/methods or acknowledgments sections where collections are typically noted. Finally, we'll extract just the city name from whatever institution is mentioned, expanding any abbreviations if necessary. 
+
+The user seems like a researcher needing precise collection data - probably for verification or further study. They're being very specific about the output format, suggesting they might feed this into another system. I'll keep the sub-tasks laser-focused: find paper → find deposition statement → isolate city. No analysis beyond that since they just want raw location data.
+</think>
+'''
+1. <Question> : Where were the specimens deposited? </Question>
+2. <Known facts> :
+- Specimens described are Vietnamese
+- Described by Kuznetzov
+- Described in Nedoshivina (2010) paper
+- Query seeks only the city name
+- City name must be provided without abbreviations
+</Known facts>
+3. <Sub-tasks> :
+- Locate the full text of Nedoshivina's 2010 paper referencing Kuznetzov's Vietnamese specimens
+- Identify the section within the paper stating the repository institution for the described specimens
+- Extract the city name of the repository from the identified institution name, ensuring it is unabbreviated
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTc=,"{'user_msg': ""What country had the least number of athletes at the 1928 Summer Olympics? If there's a tie for a number of athletes, return the first in alphabetical order. Give the IOC country code as your answer."", 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to break down their query about the 1928 Summer Olympics into a structured format. They're asking which country had the fewest athletes, with tie-breaking by alphabetical order, and want the IOC code as the answer. 
+
+First, I need to extract the core question. The key elements are ""least number of athletes,"" ""1928 Summer Olympics,"" ""tie-breaker: alphabetical order,"" and ""output: IOC code."" Simplifying this, the direct question becomes ""Which country had the fewest athletes at the 1928 Summer Olympics?"" 
+
+For known facts, I'll list only what's explicitly stated in the query: the event year and type, the tie-breaking rule, and the required output format. Anything else—like actual athlete numbers or country names—is unknown and belongs in the sub-tasks. 
+
+Now, planning the sub-tasks chronologically. Step one must involve retrieving raw data since we start externally. The most reliable source would be official Olympic records, so I'll specify finding a dataset for 1928 athlete counts by country. Step two shifts to analysis: after getting the data, we identify the minimum athlete count and check for ties. Step three handles tie-breaking by sorting tied countries alphabetically. Finally, step four converts the selected country name to its IOC code, as requested. 
+
+I should ensure no overlap: retrieval first, then analysis, then extraction. Each sub-task is independent—finding data doesn't require knowing ties, and sorting doesn't need the IOC code yet. The logic flows from gathering info to refining it step by step. 
+
+The user seems detail-oriented, likely verifying a fact or building something data-driven. By structuring this way, I'm making the process transparent and replicable, which might address their unspoken need for reliability. No assumptions beyond the query are needed—just methodical steps to bridge the knowledge gap.
+</think>
+'''
+1. <Question> : Which country had the fewest athletes at the 1928 Summer Olympics? </Question>
+2. <Known facts> :
+- Event: 1928 Summer Olympics
+- Tie-breaker: First in alphabetical order if multiple countries have the same minimum number
+- Output required: IOC country code
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve a reliable dataset listing the number of athletes per country participating in the 1928 Summer Olympics.
+- Analyze the retrieved data to identify the minimum number of athletes any country had and list all countries with that exact number.
+- If multiple countries share the minimum number, sort the list of those countries alphabetically and select the first country in that sorted list.
+- Determine the official IOC country code corresponding to the identified country (either from the same dataset or a verified IOC country code reference).
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTg=,"{'user_msg': ""Who are the pitchers with the number before and after Taishō Tamai's number as of July 2023? Give them to me in the form Pitcher Before, Pitcher After, use their last names only, in Roman characters."", 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to find the pitchers whose jersey numbers come immediately before and after Taishō Tamai's number as of July 2023. They specifically want last names in Roman characters, formatted as ""Pitcher Before, Pitcher After"".
+
+First, I need to identify the core question. The user's query is already interrogative but contains formatting instructions. I'll simplify it to just the essential question about adjacent jersey numbers while preserving the intent.
+
+For known facts, I note three key elements from the query: the target player (Taishō Tamai), the specific time frame (July 2023), and the required output format (last names in Roman characters). These are crucial constraints.
+
+Now for sub-tasks. I'll need to approach this chronologically:
+First, determine Tamai's exact jersey number since that's the reference point. Then retrieve the full roster with numbers to find adjacent players. Finally, extract and format just the last names as requested. Each step is independent - finding the number enables the roster search, which then allows identifying the adjacent players.
+
+The user seems to want precise data extraction, possibly for record-keeping or analysis. The specificity suggests they value accuracy in sports statistics. I'll ensure the steps cover all bases without overlap - from sourcing the key number to delivering the formatted names.
+</think>
+'''
+1. <Question> : What are the last names of the pitchers with jersey numbers immediately preceding and following Taishō Tamai's number as of July 2023? </Question>
+2. <Known facts> :
+- Target player: Taishō Tamai
+- Reference time: July 2023
+- Output format: Last names only, Roman characters, listed as ""Pitcher Before, Pitcher After""
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve Taishō Tamai's official jersey number from a reliable source (e.g., NPB official site, team roster) valid for July 2023.
+- Obtain the complete list of pitchers and their jersey numbers for the relevant team(s) from a reliable source (e.g., NPB official site, team roster) valid for July 2023.
+- Identify the pitcher(s) with the jersey number one lower than Tamai's number from the retrieved list.
+- Identify the pitcher(s) with the jersey number one higher than Tamai's number from the retrieved list.
+- Extract the last names (in Roman characters) of the identified preceding and following pitchers.
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MTk=,"{'user_msg': 'The attached Excel file contains the sales of menu items for a local fast-food chain. What were the total sales that the chain made from food (not including drinks)? Express your answer in USD with two decimal places.', 'additional_file': '<Document(id_=a1d7341f-730f-4c4c-b1a1-d4f17cabbae1)>', 'additional_file_path': 'C:\\Users\\wanty\\PycharmProjects\\Agent_Course_Final_Assignment\\src\\gaia_solving_agent\\static\\files\\7bd855d8-463d-4ed5-93ca-5fe35145f733.xlsx'}","<think>
+We are given a user query about an Excel file containing sales data for a fast-food chain.
+ The goal is to find the total sales from food (excluding drinks) in USD with two decimal places.
+
+ Step 1: Formulate the simplest direct question.
+   The core question is: ""What were the total sales from food (excluding drinks) in USD?""
+
+ Step 2: Extract known facts from the user query.
+   - The data is in an attached Excel file.
+   - The sales data is for menu items of a local fast-food chain.
+   - We need to exclude drinks.
+   - The total should be expressed in USD with two decimal places.
+
+ Step 3: Break down into sub-tasks.
+   Since the data is in an Excel file, we must analyze it. We need to:
+   a. Identify the structure of the Excel file (what columns are present?).
+   b. Determine which column indicates the type of item (food or drink) and which column has the sales amount.
+   c. Filter the rows to include only food items (excluding drinks).
+   d. Sum the sales amounts for the food items.
+   e. Format the total to two decimal places and in USD.
+
+ However, note the format required for sub-tasks in the output:
+   - The first sub-task must mention the attached file and what to find in it.
+   - Subsequent sub-tasks should be independent and in chronological order.
+
+ We can structure the sub-tasks as:
+
+  1. Analyze the attached Excel file to determine the columns present, especially looking for:
+        - A column that categorizes items as food or drink (or similar).
+        - A column that contains the sales amount (likely in USD).
+
+  2. If the file does not have an explicit category for food/drink, we might need to infer from item names or types. But the user query says ""menu items"", so we assume there is a way to distinguish.
+
+  3. Filter the data to include only rows that are food items (not drinks).
+
+  4. Sum the sales amounts for the filtered rows.
+
+  5. Format the total to two decimal places.
+
+ But note the output format requires:
+
+   - The first sub-task must start with: ""There is an additional .xlsx file to analyse. You must analyse it to find out ...""
+
+   We can write:
+
+      - There is an additional .xlsx file to analyse. You must analyse it to find out the structure of the data, specifically the columns that indicate the item type (food or drink) and the sales amount.
+
+   Then:
+
+      - Identify which rows correspond to food items (excluding drinks) based on the item type column.
+
+      - Extract the sales amounts for the food items.
+
+      - Sum the sales amounts to get the total food sales.
+
+      - Format the total as a number with two decimal places and note that it is in USD.
+
+ However, note the requirement: ""Each sub-task should be independent of the others, not overlapping."" and in chronological order.
+
+ Let's break it down:
+
+   Sub-task 1: Analyze the Excel file to understand its structure (columns). Specifically, we need to know:
+        - Which column indicates the category (food/drink) of the menu item?
+        - Which column contains the sales amount (and in what currency? The user says express in USD, so we assume the sales are in USD).
+
+   Sub-task 2: If the category column exists, use it to filter out drinks. If not, we might need to look for an alternative (like item names). But the user query does not specify, so we assume the data has a way to distinguish. We'll note that if the category column is missing, we may need to infer from another column (like item name or type). However, the task is to break down, so we can have:
+
+        - Filter the data to include only food items by using the category column (or if not available, by using a column that contains the item type or name and applying a rule to exclude drinks).
+
+   But note: the problem says ""food (not including drinks)"", so we must have a way to separate.
+
+   Since the output format requires the first sub-task to be about the file analysis, we can do:
+
+      Sub-tasks:
+
+        - There is an additional .xlsx file to analyse. You must analyse it to find out the column names and data types, especially looking for a column that distinguishes food from drinks and a column that contains the sales amount in USD.
+
+        - Then, we can have: ""Process the Excel data to filter out all rows that are not food items (i.e., exclude drinks).""
+
+        - Then: ""Sum the sales amounts from the filtered rows (food items) to get the total sales for food.""
+
+        - Then: ""Format the total to two decimal places and express in USD.""
+
+ However, note that the first sub-task is about analysis of the file structure, and the next ones are processing steps.
+
+ But the instructions say: ""Starting with external information retrieval, then analyzing it and finally extracting relevant information from it.""
+
+ In this case, the external information is the Excel file. We retrieve it (we assume we have it) and then analyze its structure.
+
+ Then we move to processing.
+
+ Let's write:
+
+   <Sub-tasks> :
+   - There is an additional .xlsx file to analyse. You must analyse it to find out the column names and data types, specifically identifying which column indicates the item category (food/drink) and which column contains the sales amount in USD.
+   - Using the identified category column, filter the data to include only rows where the item is categorized as food (excluding drinks). If there is no explicit category column, then use the item name or type column to exclude items that are drinks (this might require a list of drink items or keywords).
+   - Sum the sales amounts from the filtered food items to get the total food sales.
+   - Format the total to two decimal places and present it in USD.
+
+ However, note the requirement: ""Each sub-task should be independent of the others, not overlapping."" 
+
+ The second sub-task might be dependent on the first? But we are breaking down steps. We can assume that the first step provides the necessary information for the second.
+
+ But the instructions say: ""Each sub-task should be independent"" meaning they should not overlap in scope and should be separable.
+
+ We can try to make them independent by having:
+
+   Step 1: Analyze the file to get the structure (columns). This step does not do any filtering or summing.
+
+   Step 2: Filter the data (using the structure known from step 1) to get only food items.
+
+   Step 3: Sum the sales of the filtered data.
+
+   Step 4: Format the sum.
+
+ They are in chronological order and each does a separate part.
+
+ However, step 2 and 3 require the data from the file, but that's the starting point.
+
+ Considering the format, we write:
+
+   <Sub-tasks> :
+   - There is an additional .xlsx file to analyse. You must analyse it to find out the column names and data types, specifically identifying which column indicates the item category (food/drink) and which column contains the sales amount in USD.
+   - Filter the data from the Excel file to include only rows that are food items (not drinks) based on the category column or, if necessary, by examining the item name/type for keywords indicating drinks and excluding them.
+   - Calculate the total sales by summing the sales amount column for the filtered food items.
+   - Format the total as a number with two decimal places and note the currency as USD.
+
+ But note: the first sub-task must start exactly with ""There is an additional .xlsx file to analyse. You must analyse it to find out ...""
+
+ We have done that.
+
+ Now, let's write the full response in the required format.
+</think>
+'''
+1. <Question> : What were the total food sales excluding drinks in USD? </Question>
+2. <Known facts> :
+- Data source is an attached Excel file
+- Sales data covers menu items from a fast-food chain
+- Drinks must be excluded from the total
+- Result requires USD currency formatting
+- Result must show two decimal places
+</Known facts>
+3. <Sub-tasks> :
+- There is an additional .xlsx file to analyse. You must analyse it to find out which columns contain item categories and sales amounts
+- Identify methodology to distinguish food items from drinks using category labels or naming conventions
+- Filter dataset to exclude all drink-related entries based on established criteria
+- Sum all valid sales amounts from filtered food items
+- Format final total as USD with two decimal places
+</Sub-tasks>
+'''",CHAIN,{}
+RGF0YXNldEV4YW1wbGU6MjA=,"{'user_msg': 'What is the first name of the only Malko Competition recipient from the 20th Century (after 1977) whose nationality on record is a country that no longer exists?', 'additional_file': None, 'additional_file_path': None}","<think>
+Hmm, the user wants me to break down a complex query about a Malko Competition recipient into structured steps. The query asks for the first name of a 20th-century winner (post-1977) from a now-defunct country. 
+
+First, I need to identify the core question. The key elements are: Malko Competition, recipient, first name, 20th century after 1977, and nationality in a country that no longer exists. The simplest direct question would focus on the recipient's first name given these specific filters.
+
+For known facts, I'll extract only essential, verifiable details from the query: the competition name, the time frame (post-1977 to 1999), and the nationality requirement. Anything speculative or irrelevant (like why the user is asking) should be excluded.
+
+Now for sub-tasks. I need a logical sequence: start by gathering external data (official winners list), then analyze it for the nationality criterion, and finally extract the first name. The steps must be independent and ordered chronologically: retrieval first (sub-task 1), then filtering based on time and country status (sub-tasks 2-3), and finally name extraction (sub-task 4). 
+
+I should ensure no overlap - for example, verifying country dissolution comes after identifying candidates to avoid redundant checks. The final output must strictly follow the requested format with clear placeholders.
+</think>
+'''
+1. <Question> : What is the first name of the Malko Competition recipient from the 20th Century (after 1977) whose recorded nationality corresponds to a country that no longer exists? </Question>
+2. <Known facts> :
+- The subject is a recipient of the Malko Competition.
+- The recipient was awarded in the 20th Century, specifically after 1977 (i.e., between 1978 and 1999 inclusive).
+- The recipient's recorded nationality is a country that no longer exists.
+- There is only one such recipient meeting these criteria.
+</Known facts>
+3. <Sub-tasks> :
+- Retrieve the official list of all Malko Competition recipients, including their award year and recorded nationality at the time of the award, from a reliable source (e.g., official Malko Competition website, Danish National Symphony Orchestra archives).
+- Filter the list to identify recipients who won between 1978 and 1999 inclusive.
+- For each recipient identified in the filtered list (1978-1999), determine if their recorded nationality at the time of the award corresponds to a country that has since dissolved or ceased to exist (e.g., USSR, Yugoslavia, Czechoslovakia, East Germany).
+- Extract the first name of the single recipient identified whose recorded nationality meets the ""country no longer exists"" criterion.
+</Sub-tasks>
+'''",CHAIN,{}

src/gaia_solving_agent/utils.py

@@ -1,3 +1,4 @@
+import csv
 import re
 
 
@@ -7,4 +8,13 @@ def extract_pattern(pattern: str, text: str) -> str | None:
         extracted = matches[-1]
         return extracted
     else:
-        return None
+        return None
+
+
+def read_csv_to_dicts(file_path) -> list[dict]:
+    with open(file_path, mode='r', newline='', encoding='utf-8') as csvfile:
+        csv_reader = csv.DictReader(csvfile)
+        rows = []
+        for row in csv_reader:
+            rows.append(row)
+    return rows