Add conversation memory #9
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zaldivards
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Jun 29, 2023
* Add `memory` module * Add custom prompt templates * Update dependencies * Update `Redis` chat memory Now it is a `ConversationBufferWindowMemory` with k messages of 5 * Add `CONTEXTQA_PROMPT` This prompt is based on `langchain.chains.conversational_retrieval.prompts.CONDENSE_QUESTION_PROMPT`. However, I added an extra description and examples * Update `LLMContextManager` Now the main chain is `ConversationalRetrievalChain`. Additionally, it was added chat memory and custom prompt * Add redis in docker compose files * Rename `CONTEXTQA_PROMPT` to `CONTEXTQA_RETRIEVAL_PROMPT` * Update `memory` module Now `Redis` and `RedisSummaryMemory` expect a session identifier. This was added to keep isolated chat histories between coversations with and without context * Add memory to conversations with no context * Remove unused modules * Update llm query endpoints Now they are accessed through POST requests * Add openapi descriptions * Fix typo * Update readme closes #9 * Update menubar labels * Update readme * Update `ChatBox` header * Update readme
zaldivards
added a commit
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Jun 29, 2023
* Social media and pydantic parser (#1) * Update `get_people_information` function Now it handles "LinkedIn" and "Twitter" * Add `get_user_tweets` function It gets the tweets for the username found by the agent * Add the `main` function * Add dependencies * Add `summary_parser` * Update agent's prompt templates * Add the `summary_parser` parser to return a pydantic model * Update the `main` function to print the final result * Add docker-related files * Add main bash script * Add readme * Update main bash script Added the `--build` flag to the `dockerized` command * Custom context and api (#2) * Add `query_document` function * Update dependencies * Update project structure * Update dependencies * Add the `services` package * Add `LLMQueryRequestBody` model * Add fastapi api * Fix bug in `simple_scan` The splitter expected a Sequence of Documents instead of a raw string * Add endpoints' response models * Update the main bash script Updated the entrypoint command to execute `uvicorn` * Update readme * App settings (#3) * Add `AppSettings` class * Remove unused module * Add `AppSettings` usage * Document query (#4) * Add `document_scan` function This function will pass the best context in the given document to the LLM * Update api Added `query_document` endpoint and an independent router for the context-based endpoints * Update dependencies * Update import order to avoid circular dependencies * Add `check-envs` command * Fix bugs * Update `LLMQueryDocumentRequestBody` model Replaced similarity_processor type, from Literal to Enum * Fix bug in `query_document` endpoint Each property needed to be a `Form` type to work properly * PDF query support (#5) * Add `VectorStoreParams` class * Update `_VECTORSTORE` map Added `VectorStoreParams` objects as values * Fix bug * Add `pdf_scan` function * Add `RetrievalQA` usage * Update dependencies * Fix bugs Update file creation to "b" mode * Add `query_pdf` endpoint * Update docstrings * Update dependencies * Update `pdf_scan` function Added pinecone initialization * Local persistance (#6) * Update pydantic models * Add `context` module * Add `set_context` endpoint * Update dependencies * Add `LLMContextManager` class * Add `context_router` router Added the `query` endpoint * Fix bugs * Fix bugs There was an error because the LOCAL_STORE_HOME was not being created * Contextqa client (#7) * Add base gui structure * Add `primevue` dependencies * Add custom components Added Chat and ChatCard components * Add proxy * Add `ContextManager` view This view will set the context for a conversation session * Add `MessageAdder` component It handles the user questions and emits the corresponding events so parent components can continue with the flow * Update the `Chat` view Now the messages are rendered dynamically * Update dependencies Added vue-router * Add vue-router usage * Update `ChatCard` component Added datetime * Update `ContextManager` Added `remove` callback to the `FileUpload` component * Update `ContextManager` Added InputNumber fields * Add `client` module and toast service * Update client and server urls * Update `ContextManager` Added toast messages and the context request * Add vuex dependency * Add state management * Add `askLLM` function This is the main function to query the llm * Update `Chat` component Added support to query the llm server * Update vuex store * Update and add utilities to properly render the progress bar * Add global font style * Fix bug in state the `lastMessageText` state was being rendered for all the component instances. * Update main input text * Add autoscrolling and custom styles * Fix bug in state the identifier status changed just by selecting the file to upload. Now it is only updated if the post request is made and succeeds * Update `MessageAdder` The keys shift+enter do not trigger the onEnter event * Fix bug related to the cards sizes * Update `ContextManager` Now if the document has not been set as the context the chat cannot be used * Remove unused code * Fix bug when the `Chat` component is re-created * Remove the textarea outline when it's disabled * Update `ChatCard` Now it scans the LLM response to properly format code blocks * Fix z-index bug * Update the `client` module Added validations to handle non-successful server responses * Fix z-index bug * Add logo and title * Add `Home` view * Update readme * Update some strings * Update `ContextManager` Added dropdown to choose the vector store. Additionally, a new state was added as the chosen vector store needs to be available in the `Chat` component * Add the `ConfirmationService` to use dialogs * Add `ConfirmDialog` usage For this to work, a setup script block is needed. * Update the menubar Added a custom "end" template to show the current context set * Fix bugs - `handleResponse` had not been awaited - invalid payload for the `lastMessageText` state * Update project name * Add a tooltip to the logo * Add docker-related files for the client * Update project structure * Update query request Now the processor is added from the state store * Add API_BASE_URL for dev and prod * Update api - The source documents found are now logged when the DEBUG flag is true - Added cors middleware * Update Dockerfiles * Add docker compose files for dev and prod * Update main script - Removed previous commands - Added new commands: `start` and `restart` * Update api Added `debug` setting * Add commands starting messages * Update readme Added usage examples * Update MenuBar chat options * Add `chat` model Added new endpoint to ask anything to the llm without setting any document as context * Add `Chat` and `DocumentQA` views * Update `ChatBox` Added `promise` method to request the corresponding endpoint based on the context requirement * Fix bugs related to messages state * Update home message * Update readme * Update readme * Update `Home` Added contextqa title image * Add `contextqa.env` * Update contextqa image * Update api Renamed the `retriever` package to `contextqa` * Update api settings Added default values for optional settings * Update chat cards Now avatars have images instead of icons * Fix bug * Add focus to the textarea after a response * Update menubar Now the contextqa title is shown in the bar * Update `ChatCard` sent date * Update menubar * Update readme * Fix bug in the messages sent date When the ChatBox was re-created, each message card displayed the same sent date. This issue was resolved by changing the sent date from being a computed property to a prop * Renamed contextqa client root directory to **client** * Add header in the `settings` section * Fix `FileUpload` layout * Update menubar Now the set vector store is also shown * Add docker restart strategy * Update main script Added `shutdown` command * Update readme * Add gitattributes * Update gitattributes * Fix typo * Pinecone support (#10) * Update dev api entrypoint * Add "health" endpoint * Add `PineconeManager` * Add exception handling when using a non-local vector store * Fix bug The `similarity_processor` parameter was being sent a hardcoded value * Fix bug in the exception handling when a request is not successful * Update `context/set` endpoint Added an alternative response when a connection with an external vector store is not successful * Update common response message when a request do not succeed in the server * Fix bug Removed the double await call on the response * Fix bug in the formatting of code blocks * Update `Pinecone` manager Added index namespace based on the filename * Redis chat history (#11) * Add `memory` module * Add custom prompt templates * Update dependencies * Update `Redis` chat memory Now it is a `ConversationBufferWindowMemory` with k messages of 5 * Add `CONTEXTQA_PROMPT` This prompt is based on `langchain.chains.conversational_retrieval.prompts.CONDENSE_QUESTION_PROMPT`. However, I added an extra description and examples * Update `LLMContextManager` Now the main chain is `ConversationalRetrievalChain`. Additionally, it was added chat memory and custom prompt * Add redis in docker compose files * Rename `CONTEXTQA_PROMPT` to `CONTEXTQA_RETRIEVAL_PROMPT` * Update `memory` module Now `Redis` and `RedisSummaryMemory` expect a session identifier. This was added to keep isolated chat histories between coversations with and without context * Add memory to conversations with no context * Remove unused modules * Update llm query endpoints Now they are accessed through POST requests * Add openapi descriptions * Fix typo * Update readme closes #9 * Update menubar labels * Update readme * Update `ChatBox` header * Update readme * Update github url * Fix bugs in the regex for code blocks
zaldivards
added a commit
that referenced
this issue
Jul 11, 2023
* Social media and pydantic parser (#1) * Update `get_people_information` function Now it handles "LinkedIn" and "Twitter" * Add `get_user_tweets` function It gets the tweets for the username found by the agent * Add the `main` function * Add dependencies * Add `summary_parser` * Update agent's prompt templates * Add the `summary_parser` parser to return a pydantic model * Update the `main` function to print the final result * Add docker-related files * Add main bash script * Add readme * Update main bash script Added the `--build` flag to the `dockerized` command * Custom context and api (#2) * Add `query_document` function * Update dependencies * Update project structure * Update dependencies * Add the `services` package * Add `LLMQueryRequestBody` model * Add fastapi api * Fix bug in `simple_scan` The splitter expected a Sequence of Documents instead of a raw string * Add endpoints' response models * Update the main bash script Updated the entrypoint command to execute `uvicorn` * Update readme * App settings (#3) * Add `AppSettings` class * Remove unused module * Add `AppSettings` usage * Document query (#4) * Add `document_scan` function This function will pass the best context in the given document to the LLM * Update api Added `query_document` endpoint and an independent router for the context-based endpoints * Update dependencies * Update import order to avoid circular dependencies * Add `check-envs` command * Fix bugs * Update `LLMQueryDocumentRequestBody` model Replaced similarity_processor type, from Literal to Enum * Fix bug in `query_document` endpoint Each property needed to be a `Form` type to work properly * PDF query support (#5) * Add `VectorStoreParams` class * Update `_VECTORSTORE` map Added `VectorStoreParams` objects as values * Fix bug * Add `pdf_scan` function * Add `RetrievalQA` usage * Update dependencies * Fix bugs Update file creation to "b" mode * Add `query_pdf` endpoint * Update docstrings * Update dependencies * Update `pdf_scan` function Added pinecone initialization * Local persistance (#6) * Update pydantic models * Add `context` module * Add `set_context` endpoint * Update dependencies * Add `LLMContextManager` class * Add `context_router` router Added the `query` endpoint * Fix bugs * Fix bugs There was an error because the LOCAL_STORE_HOME was not being created * Contextqa client (#7) * Add base gui structure * Add `primevue` dependencies * Add custom components Added Chat and ChatCard components * Add proxy * Add `ContextManager` view This view will set the context for a conversation session * Add `MessageAdder` component It handles the user questions and emits the corresponding events so parent components can continue with the flow * Update the `Chat` view Now the messages are rendered dynamically * Update dependencies Added vue-router * Add vue-router usage * Update `ChatCard` component Added datetime * Update `ContextManager` Added `remove` callback to the `FileUpload` component * Update `ContextManager` Added InputNumber fields * Add `client` module and toast service * Update client and server urls * Update `ContextManager` Added toast messages and the context request * Add vuex dependency * Add state management * Add `askLLM` function This is the main function to query the llm * Update `Chat` component Added support to query the llm server * Update vuex store * Update and add utilities to properly render the progress bar * Add global font style * Fix bug in state the `lastMessageText` state was being rendered for all the component instances. * Update main input text * Add autoscrolling and custom styles * Fix bug in state the identifier status changed just by selecting the file to upload. Now it is only updated if the post request is made and succeeds * Update `MessageAdder` The keys shift+enter do not trigger the onEnter event * Fix bug related to the cards sizes * Update `ContextManager` Now if the document has not been set as the context the chat cannot be used * Remove unused code * Fix bug when the `Chat` component is re-created * Remove the textarea outline when it's disabled * Update `ChatCard` Now it scans the LLM response to properly format code blocks * Fix z-index bug * Update the `client` module Added validations to handle non-successful server responses * Fix z-index bug * Add logo and title * Add `Home` view * Update readme * Update some strings * Update `ContextManager` Added dropdown to choose the vector store. Additionally, a new state was added as the chosen vector store needs to be available in the `Chat` component * Add the `ConfirmationService` to use dialogs * Add `ConfirmDialog` usage For this to work, a setup script block is needed. * Update the menubar Added a custom "end" template to show the current context set * Fix bugs - `handleResponse` had not been awaited - invalid payload for the `lastMessageText` state * Update project name * Add a tooltip to the logo * Add docker-related files for the client * Update project structure * Update query request Now the processor is added from the state store * Add API_BASE_URL for dev and prod * Update api - The source documents found are now logged when the DEBUG flag is true - Added cors middleware * Update Dockerfiles * Add docker compose files for dev and prod * Update main script - Removed previous commands - Added new commands: `start` and `restart` * Update api Added `debug` setting * Add commands starting messages * Update readme Added usage examples * Update MenuBar chat options * Add `chat` model Added new endpoint to ask anything to the llm without setting any document as context * Add `Chat` and `DocumentQA` views * Update `ChatBox` Added `promise` method to request the corresponding endpoint based on the context requirement * Fix bugs related to messages state * Update home message * Update readme * Update readme * Update `Home` Added contextqa title image * Add `contextqa.env` * Update contextqa image * Update api Renamed the `retriever` package to `contextqa` * Update api settings Added default values for optional settings * Update chat cards Now avatars have images instead of icons * Fix bug * Add focus to the textarea after a response * Update menubar Now the contextqa title is shown in the bar * Update `ChatCard` sent date * Update menubar * Update readme * Fix bug in the messages sent date When the ChatBox was re-created, each message card displayed the same sent date. This issue was resolved by changing the sent date from being a computed property to a prop * Renamed contextqa client root directory to **client** * Add header in the `settings` section * Fix `FileUpload` layout * Update menubar Now the set vector store is also shown * Add docker restart strategy * Update main script Added `shutdown` command * Update readme * Add gitattributes * Update gitattributes * Fix typo * Pinecone support (#10) * Update dev api entrypoint * Add "health" endpoint * Add `PineconeManager` * Add exception handling when using a non-local vector store * Fix bug The `similarity_processor` parameter was being sent a hardcoded value * Fix bug in the exception handling when a request is not successful * Update `context/set` endpoint Added an alternative response when a connection with an external vector store is not successful * Update common response message when a request do not succeed in the server * Fix bug Removed the double await call on the response * Fix bug in the formatting of code blocks * Update `Pinecone` manager Added index namespace based on the filename * Redis chat history (#11) * Add `memory` module * Add custom prompt templates * Update dependencies * Update `Redis` chat memory Now it is a `ConversationBufferWindowMemory` with k messages of 5 * Add `CONTEXTQA_PROMPT` This prompt is based on `langchain.chains.conversational_retrieval.prompts.CONDENSE_QUESTION_PROMPT`. However, I added an extra description and examples * Update `LLMContextManager` Now the main chain is `ConversationalRetrievalChain`. Additionally, it was added chat memory and custom prompt * Add redis in docker compose files * Rename `CONTEXTQA_PROMPT` to `CONTEXTQA_RETRIEVAL_PROMPT` * Update `memory` module Now `Redis` and `RedisSummaryMemory` expect a session identifier. This was added to keep isolated chat histories between coversations with and without context * Add memory to conversations with no context * Remove unused modules * Update llm query endpoints Now they are accessed through POST requests * Add openapi descriptions * Fix typo * Update readme closes #9 * Update menubar labels * Update readme * Update `ChatBox` header * Update readme * Update github url * Fix bugs in the regex for code blocks * Add assistant with internet access (#13) * Update dependencies * Add the `tools` module * Add `CONTEXTQA_AGENT_TEMPLATE` * Add extra setting no enable internet access for the assistant * Update `searcher` tool * Added exception handling * It searches 5 different sites sequentially and chooses the one that meets the criteria of containing more than 100 words * Added logger * Update memory configuration based on the `enable_internet_access` flag * Add `CONTEXTQA_AGENT_TEMPLATE` and a custom prefix for the agent * Add `get_llm_assistant` function This function returns an assistant with or without internet access * Update `ChatCard` Now urls in markdown format are rendered properly * Add switch to enable internet access * Update memory chat Now some of the "generated" parameters depend on the `internet_access` flag * Update `qa_service` function * The `qa` endpoint now expects the optional `internet_access` flag * Added chat memory usage depending on that flag * Add `internetEnabled` state * Update Dialog messages * Fix bug Added `v-if` usage so the internet switch is only available in conversations with no context * Update home's welcome text * Update Dialog position * Add extra exception handler in the `search` tool * Fix typo
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