From 58f20856fd9564a2864fce3dd0bca4759fc9f070 Mon Sep 17 00:00:00 2001 From: Jake Pullen Date: Thu, 5 Mar 2026 20:07:35 +0000 Subject: [PATCH] 1.0 Release --- LICENSE | 621 +++++++++++++++ README.md | 73 +- ROADMAP.md | 19 + TODO | 23 - src/config.yaml => config.yaml | 6 +- justfile | 8 - load_ingestion_llms.sh | 6 +- pyproject.toml | 4 +- src/config_loader.py | 2 +- src/embedding.py | 5 +- src/experts/ingestion_agent.py | 8 +- src/experts/retrieval_agent.py | 30 +- src/retrieve.py | 13 +- test_no_think.py | 25 - uv.lock | 1367 ++++++++++++-------------------- 15 files changed, 1208 insertions(+), 1002 deletions(-) create mode 100644 LICENSE create mode 100644 ROADMAP.md delete mode 100644 TODO rename src/config.yaml => config.yaml (85%) delete mode 100644 justfile delete mode 100644 test_no_think.py diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..810fce6 --- /dev/null +++ b/LICENSE @@ -0,0 +1,621 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Limitation of Liability. + + IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS +THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY +GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE +USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF +DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD +PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), +EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF +SUCH DAMAGES. + + 17. Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS diff --git a/README.md b/README.md index 586956e..13f64b8 100644 --- a/README.md +++ b/README.md @@ -1,17 +1,12 @@ -This `README.md` is designed to reflect the sophisticated local RAG pipeline you've built, highlighting the multi-threaded enrichment and the DSPy-powered "Smart Retrieval" system. - ---- - -# πŸ‰ DnD Campaign Oracle: Local RAG Assistant +# πŸ‰ Dungeon Masters Vault: Local RAG Assistant An advanced Retrieval-Augmented Generation (RAG) system designed for Dungeon Masters. This tool ingests markdown-based campaign notes, enriches them with AI-generated metadata, and provides an interactive terminal interface to query your world’s lore using **DSPy** and **Local LLMs**. ## βš”οΈ Key Features -* **Parallel Enrichment:** Utilizes a `ThreadPoolExecutor` to process multiple document chunks simultaneously across local LLM slots for high-speed ingestion. -* **Structured Metadata:** Uses **DSPy TypedPredictors** and **Pydantic** to force LLMs to output valid JSON synopses, tags, and entity lists. +* **Parallel Enrichment:** Utilizes a configurable multithreading to process multiple document chunks simultaneously across local LLM slots for high-speed ingestion. * **Deep Context Retrieval:** Unlike standard RAG, this system retrieves relevant chunks and then "peeks" at the full source file to provide the LLM with broader narrative context. -* **Local-First:** Designed to run entirely on your hardware using **LM Studio** and **FAISS**, keeping your campaign secrets private. +* **Local-First:** Designed to run entirely on your hardware using **LM Studio**, keeping your campaign secrets private. --- @@ -20,13 +15,11 @@ An advanced Retrieval-Augmented Generation (RAG) system designed for Dungeon Mas 1. **Ingestion:** Scans `DATA_DIR` for `.md` files. 2. **Chunking:** Splits documents into 800-character segments with overlap. 3. **Enrichment:** A DSPy `IngestionAgent` analyzes each chunk to extract: -* **Synopsis:** A one-sentence summary. -* **Tags:** Plot points, item names, or themes. -* **Entities:** Specific NPCs, Locations, or Factions. - - -4. **Vector Store:** Chunks and metadata are embedded using `text-embedding-qwen3` and stored in a local **FAISS** index. -5. **Interactive RAG:** A terminal loop that uses **Chain of Thought (CoT)** reasoning to answer queries based on retrieved context. + * **Synopsis:** A one-sentence summary. + * **Tags:** Plot points, item names, or themes. + * **Entities:** Specific NPCs, Locations, or Factions. +4. **Vector Store:** Chunks and metadata are embedded using `text-embedding-qwen3` and stored in a local **Turso** database. +5. **Interactive RAG:** A terminal loop that uses **ReAct (Reasoning and Acting)** to answer queries based on retrieved context. --- @@ -34,18 +27,15 @@ An advanced Retrieval-Augmented Generation (RAG) system designed for Dungeon Mas ### Prerequisites -* **Python 3.10+** -* **LM Studio:** Running a local server at `http://192.168.0.49:1234` (or your specific IP). -* **Models:** * Inference: `qwen3-8b` (or similar). -* Embedding: `text-embedding-qwen3-embedding-8b`. - +* **UV [Link to install here](https://docs.astral.sh/uv/)** +* **LM Studio:** Running a local server at `localhost:1234` (or your specific IP). +* **Models:** * Inference & Embedding: Configurable for your preference. grab your model in LMStudio and update the conifg ### Installation ```bash uv sync - ``` --- @@ -58,40 +48,57 @@ Run the ingestion script to process your markdown files and build the vector dat ```bash uv run src/ingest.py - ``` -### 2. Query the Oracle +### 2. Query the LLM Launch the interactive session to ask questions about your campaign. ```bash uv run src/retrieve.py - ``` **Example Query:** -> `πŸ“ Query: Why did the party get free bread at the Golden Grain Inn?` +> `πŸ“ Query: Why did the party get free bread at the Golden Grain Inn?` > `πŸ“œ AI RESPONSE: Based on the session notes from 'Session_12.md', the party received free bread because the Rogue successfully intimidated the baker's assistant, and the Cleric later performed a minor miracle (Thaumaturgy) that impressed the owner.` --- ## πŸ“‚ File Structure -* `ingest.py`: Handles file loading, multi-threaded enrichment, and FAISS storage. -* `retrieve.py`: The interactive terminal-based retrieval loop. -* `experts/ingestion_agent.py`: Contains the `IngestionAgent` and Pydantic schemas. -* `embedding.py`: Custom wrapper for `LocalLMEmbeddings` with batch processing support. -* `local_faiss_db/`: Directory where the vector index and metadata are persisted. +``` +. +β”œβ”€β”€ config.yaml # Configuration for the app +β”œβ”€β”€ load_ingestion_llms.sh # script to load multiple LLMs (Run before ingest) +β”œβ”€β”€ README.md +β”œβ”€β”€ ROADMAP.md +β”œβ”€β”€ src +β”‚Β Β  β”œβ”€β”€ config_loader.py # Loads the config yaml file +β”‚Β Β  β”œβ”€β”€ embedding.py # Class to talk to LMStudio Embedding Model Server +β”‚Β Β  β”œβ”€β”€ experts +β”‚Β Β  β”‚Β Β  β”œβ”€β”€ ingestion_agent.py # Agent Class for ingestion enrichment +β”‚Β Β  β”‚Β Β  └── retrieval_agent.py # Agent Class for retrieval, with tools and database calls +β”‚Β Β  β”œβ”€β”€ ingest.py # Ingestion script to load your DnD Campaign Notes +β”‚Β Β  └── retrieve.py # main Q&A for your notes +β”œβ”€β”€ data # GitIgnored Folder for Notes Database +β”‚Β Β  β”œβ”€β”€ dmv.db +β”‚Β Β  β”œβ”€β”€ dmv.db-wal +β”‚Β Β  β”œβ”€β”€ dmv.log +β”‚Β Β  └── time_file.txt +β”œβ”€β”€ pyproject.toml +β”œβ”€β”€ LICENSE +└── uv.lock +``` --- ## βš™οΈ Configuration -In `ingest_notes.py`, you can tune the processing speed: +In `config.yaml`, you can adjust multiple things: -* `max_workers=8`: Adjust based on your GPU/CPU capability to handle concurrent LLM requests. -* `chunk_size=800`: Increase for more context per chunk, decrease for more granular searching. +* Enrichment / embedding & Retrieval Mdels +* DnD Notes Location (data_dir) +* System Prompts for Ingestion & Retrieval Agents --- diff --git a/ROADMAP.md b/ROADMAP.md new file mode 100644 index 0000000..d0ce349 --- /dev/null +++ b/ROADMAP.md @@ -0,0 +1,19 @@ +# ROADMAP + +## Investigation & Exploration + +* QA specific embedding models? +* instruction tuned embeddings? +* bredth vs depth = separate workflows +* common model attributes - temp & top-k +* Evaluation metrics, how good is it doing? + rate my response!? + +## Planned Next + +* AI in the middle - make the llm generate multiple queries for a wider search + +## Planned Later + +* entity chunking & re-ranking +* Logging in Ingestion \ No newline at end of file diff --git a/TODO b/TODO deleted file mode 100644 index 099d2c1..0000000 --- a/TODO +++ /dev/null @@ -1,23 +0,0 @@ ----Read File Tool for Retrieve Agent--- - ----Easy Config of system prompts--- - examples into prompts & better prompts - ----LMS CLI script to load multiple models and to make each model accept multiple inferences--- - ----context engineering, - only include vector hits that are x distance? --- top 5 is good enough - -AI in the middle - make the ai generate the string for vector search - -instruction tuned embeddings? - -entity chunking & re-ranking - -bredth vs depth = separate workflows - -common model attributes - temp & top-k - -QA specific embedding models? - -Evaluation metrics, how good is it doing? - rate my response!? diff --git a/src/config.yaml b/config.yaml similarity index 85% rename from src/config.yaml rename to config.yaml index 43b463b..0aa67cc 100644 --- a/src/config.yaml +++ b/config.yaml @@ -5,7 +5,7 @@ api: # --- Model Settings --- models: - enrich: "lm_studio/qwen-" + enrich: "lm_studio/qwen-" # will have an identifier, based on amount of active LLMs see ./load_ingestion_llms.sh embedding: "text-embedding-qwen3-embedding-8b" retrieval: "lm_studio/qwen/qwen3-30b-a3b-2507" @@ -13,7 +13,7 @@ models: ingestion: data_dir: "/home/cosmic/DnD" db_path: "./data/dmv.db" - active_llms: 5 + active_llms: 2 parallel_requests_per_llm: 2 chunk_size: 800 chunk_overlap: 100 @@ -35,4 +35,4 @@ retrieval_agent: You are an expert Dungeon Master's assistant. Given the context and the question, answer the question. Do not make things up, base all of your answers on the context. - Always site your sources + Always site the file location of your source of information. diff --git a/justfile b/justfile deleted file mode 100644 index 4573861..0000000 --- a/justfile +++ /dev/null @@ -1,8 +0,0 @@ -git-sync: - @echo "Doing GIT Dance" - git pull - git add . - git commit -m 'just sync' - git push - -sync-git: git-sync \ No newline at end of file diff --git a/load_ingestion_llms.sh b/load_ingestion_llms.sh index 01040c9..0caadc9 100755 --- a/load_ingestion_llms.sh +++ b/load_ingestion_llms.sh @@ -1,5 +1,5 @@ lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-0" --ttl 1800 lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-1" --ttl 1800 -lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-2" --ttl 1800 -lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-3" --ttl 1800 -lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-4" --ttl 1800 +# lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-2" --ttl 1800 +# lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-3" --ttl 1800 +# lms load qwen-4b-instruct-2507 --parallel 2 --identifier "qwen-4" --ttl 1800 diff --git a/pyproject.toml b/pyproject.toml index 15e0de1..9a3043e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,16 @@ [project] name = "dungeon-masters-vault" -version = "0.1.0" +version = "1.0.0" description = "RAG application to help you with your DnD Notes." readme = "README.md" requires-python = ">=3.13" dependencies = [ "dspy>=3.1.2", - "faiss-cpu>=1.13.2", "langchain>=1.2.7", "langchain-community>=0.4.1", "langchain-text-splitters>=1.1.0", "python-dotenv>=1.2.1", "pyturso>=0.4.3", - "sentence-transformers>=5.2.2", ] [tool.ruff] diff --git a/src/config_loader.py b/src/config_loader.py index 30a8f9a..b4586f9 100644 --- a/src/config_loader.py +++ b/src/config_loader.py @@ -1,7 +1,7 @@ import yaml -def load_config(config_path="src/config.yaml"): +def load_config(config_path="config.yaml"): with open(config_path) as f: return yaml.safe_load(f) diff --git a/src/embedding.py b/src/embedding.py index 6fe4585..f0908a1 100644 --- a/src/embedding.py +++ b/src/embedding.py @@ -6,10 +6,9 @@ CFG = load_config() API_BASE = CFG["api"]["base_url"] API_VERSION = CFG["api"]["api_version"] + class LocalLMEmbeddings(Embeddings): - def __init__( - self, model: str, base_url: str = API_BASE, batch_size: int = 32 - ): + def __init__(self, model: str, base_url: str = API_BASE, batch_size: int = 32): self.url = f"{base_url}/{API_VERSION}embeddings" self.model = model self.batch_size = batch_size diff --git a/src/experts/ingestion_agent.py b/src/experts/ingestion_agent.py index b71b541..7f87e35 100644 --- a/src/experts/ingestion_agent.py +++ b/src/experts/ingestion_agent.py @@ -5,11 +5,15 @@ from config_loader import load_config CFG = load_config() INGESTION_CONFIG = CFG["ingestion_agent"] + class IngestionSignature(dspy.Signature): - f"{INGESTION_CONFIG["ingestion_signature"]}" + f"{INGESTION_CONFIG['ingestion_signature']}" note: str = dspy.InputField(desc="The DM notes or session recap content.") - answer: dict[str,str|List] = dspy.OutputField(desc="the metadata dictionary with the keys; synopsis, tags, entities") + answer: dict[str, str | List] = dspy.OutputField( + desc="the metadata dictionary with the keys; synopsis, tags, entities" + ) + class IngestionAgent(dspy.Module): def __init__(self): diff --git a/src/experts/retrieval_agent.py b/src/experts/retrieval_agent.py index 9ef9d88..f42d111 100644 --- a/src/experts/retrieval_agent.py +++ b/src/experts/retrieval_agent.py @@ -28,13 +28,12 @@ def retrieve_from_turso(embedded_question, k=5): rows = cur.fetchall() return rows + # --- DSPy Signature --- class DnDContextQA(dspy.Signature): - f"{RETRIEVAL_CONFIG["retrieval_signature"]}" + f"{RETRIEVAL_CONFIG['retrieval_signature']}" - context = dspy.InputField( - desc="Relevant chunks and metadata from the campaign notes." - ) + context = dspy.InputField(desc="Relevant chunks and metadata from the campaign notes.") question = dspy.InputField() answer = dspy.OutputField(desc="A detailed answer based on the notes, citing the source file.") @@ -45,16 +44,14 @@ class DnDRAG(dspy.Module): self.embeddings_model = LocalLMEmbeddings( model=EMBEDDING_MODEL, base_url=API_BASE, - batch_size=1, # we only send 1 question at a time. - ) - # Tools exposed to the ReAct loop - self.tools = [ - self.load_file - ] - self.generate_answer = dspy.ReAct(signature=DnDContextQA,tools=self.tools) + batch_size=1, # we only send 1 question at a time. + ) + # Tools exposed to the ReAct loop + self.tools = [self.load_file] + self.generate_answer = dspy.ReAct(signature=DnDContextQA, tools=self.tools) def forward(self, question): - # TODO: Add step here to LLM Expand + # TODO: Add step here to LLM Expand # given the current question, generate 3-5 distinct search queries. # embed all the questions embedded_question = self.embeddings_model._post_request(question) @@ -66,13 +63,12 @@ class DnDRAG(dspy.Module): for i, row in enumerate(results): source = row[0] # file_path synopsis = row[1] # synopsis - tags = row[2] # tags + tags = row[2] # tags entities = row[3] # entities content = row[4] # chunk_data - context_parts.append(f""" ---- Chunk {i+1} from {source} --- +--- Chunk {i + 1} from {source} --- synopsis: {synopsis}, tags: {tags}, entities: {entities} @@ -82,7 +78,7 @@ entities: {entities} # print('Closest embedding hits') # for part in context_parts: # print(part) - + context = "\n\n".join(context_parts) prediction = self.generate_answer(context=context, question=question) @@ -97,4 +93,4 @@ entities: {entities} except Exception: return None else: - return None \ No newline at end of file + return None diff --git a/src/retrieve.py b/src/retrieve.py index 2882a21..77e4743 100644 --- a/src/retrieve.py +++ b/src/retrieve.py @@ -13,6 +13,7 @@ RETRIEVE_MODEL = CFG["models"]["retrieval"] API_BASE = CFG["api"]["base_url"] API_VERSION = CFG["api"]["api_version"] + class CallbackHandler(BaseCallback): """Custom callback class for logging agent interactions.""" @@ -47,6 +48,7 @@ class CallbackHandler(BaseCallback): def _is_reasoning_output(self, outputs): return any(k.startswith("Thought") for k in outputs) + def setup_logging(): """Set up logging configuration for Merlin.""" # Create a custom logger @@ -60,15 +62,11 @@ def setup_logging(): console_handler.setLevel(logging.INFO) # Create a file handler with rotation every 5MB - file_handler = RotatingFileHandler( - "dmv.log", maxBytes=5 * 1024 * 1024, backupCount=3 - ) + file_handler = RotatingFileHandler("data/dmv.log", maxBytes=5 * 1024 * 1024, backupCount=3) file_handler.setLevel(logging.DEBUG) # Create a formatter - formatter = logging.Formatter( - "%(asctime)s - %(name)s - %(levelname)s - %(message)s" - ) + formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s") # Set the formatter for the handler console_handler.setFormatter(formatter) @@ -129,5 +127,6 @@ def main(): except Exception as e: print(f"\n⚠️ An error occurred: {e}") + if __name__ == "__main__": - main() \ No newline at end of file + main() diff --git a/test_no_think.py b/test_no_think.py deleted file mode 100644 index 98f824e..0000000 --- a/test_no_think.py +++ /dev/null @@ -1,25 +0,0 @@ -import dspy - -base_url= "http://framework.tawny-bellatrix.ts.net:1234" -model_name= "lm_studio/qwen-0" - - -lm = dspy.LM( - model=model_name, - api_base=f"{base_url}/v1/" -) -dspy.configure(lm=lm) - - -# question = "How can i use dspy framework to add 'chat_template_kwargs={\"enable_thinking\": False}' to my API call to LM Studio? i know it uses litellm under the hood" -# question = "Hi there, do you have a name? if not i want you to name yourself." -question = "how long would it take light to travel from the sun to the earth? /no_think" - -# Call with request_kwargs to inject the template kwargs 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