From 83027b3a0fda87fa7c78736bad3179445bdaf064 Mon Sep 17 00:00:00 2001 From: veguAI <152010387+vegu-ai-tools@users.noreply.github.com> Date: Sat, 20 Apr 2024 01:01:06 +0300 Subject: [PATCH] 0.23.0 (#91) * dockerfiles and docker-compose * containerization fixes * docker instructions * readme * readme * dont mount src by default, readme * hf template determine fixes * auto determine prompt template * script to start talemate listening only to 127.0.0.1 * prompt tweaks * auto narrate round every 3 rounds * tweaks * Add return to startscreen button * Only show return to start screen button if scene is active * improvements to character creation * dedicated property for scene title separate fromn the save directory name * filter out negations into negative keywords * increase auto narrate delay * add character portrait keyword * summarization should ignore most recent message, as it is often regenerated. * cohere client * specify python3 * improve viable runpod text gen detection * fix formatting in template preview * cohere command-r plus template that i am not sure if correct or not * mistral client set to decensor * fix issue with parsing json responses * command-r prompts updated * use official mistralai python client * send max_tokens * new input autocomplete functionality * prompt tweeaks * llama 3 templates * add <|eot_id|> to stopping strings * prompt tweak * tooltip * llama-3 identifier * command-r and command-r plus prompt identifiers * text-gen-webui client tweaks to make llama3 eos tokens work correctly * better llama-3 detection * better llama-3 finalizing of parameters * streamline client prompt finalizers reduce YY model smoothing factor from 0.3 to 0.1 for text-generation-webui client * relock * linting * set 0.23.0 * add new gpt-4 models * set 0.23.0 * add note about conecting to text-gen-webui from docker * fix openai image generation no longer working * default to concept_art --- Dockerfile.backend | 25 + Dockerfile.frontend | 17 + README.md | 20 +- docker-compose.yml | 27 + install.sh | 2 +- poetry.lock | 1734 +++++++++-------- pyproject.toml | 6 +- scenes/simulation-suite/game.py | 63 +- scenes/simulation-suite/simulation-suite.json | 1 + src/talemate/__init__.py | 2 +- src/talemate/agents/base.py | 4 +- src/talemate/agents/conversation.py | 27 +- src/talemate/agents/creator/assistant.py | 50 +- src/talemate/agents/creator/character.py | 10 +- src/talemate/agents/creator/scenario.py | 9 +- src/talemate/agents/director.py | 30 +- src/talemate/agents/narrator.py | 1 + src/talemate/agents/summarize.py | 4 +- src/talemate/agents/visual/__init__.py | 14 +- src/talemate/agents/visual/openai_image.py | 10 + src/talemate/agents/visual/style.py | 8 + src/talemate/agents/world_state.py | 1 + src/talemate/client/__init__.py | 7 +- src/talemate/client/base.py | 46 +- src/talemate/client/cohere.py | 225 +++ src/talemate/client/lmstudio.py | 1 + src/talemate/client/mistral.py | 47 +- src/talemate/client/model_prompts.py | 91 +- src/talemate/client/openai.py | 6 +- src/talemate/client/openai_compat.py | 5 +- src/talemate/client/runpod.py | 4 +- src/talemate/client/textgenwebui.py | 47 +- src/talemate/commands/__init__.py | 1 + src/talemate/commands/cmd_autocomplete.py | 26 + src/talemate/config.py | 12 +- src/talemate/emit/signals.py | 3 + src/talemate/game/engine.py | 111 +- src/talemate/game/scope.py | 199 +- src/talemate/game/state.py | 4 +- src/talemate/load.py | 7 +- src/talemate/prompts/base.py | 24 +- .../creator/autocomplete-dialogue.jinja2 | 25 + ...ine-character-dialogue-instructions.jinja2 | 1 + .../extract-character-sheet.jinja2 | 4 +- src/talemate/scene_message.py | 43 +- src/talemate/server/websocket_server.py | 10 +- src/talemate/tale_mate.py | 26 +- src/talemate/util/__init__.py | 16 +- start-local.bat | 2 + talemate_frontend/package-lock.json | 4 +- talemate_frontend/package.json | 2 +- .../src/components/AppConfig.vue | 18 + .../src/components/ClientModal.vue | 13 +- .../src/components/SceneMessages.vue | 12 +- .../src/components/SceneTools.vue | 14 + .../src/components/TalemateApp.vue | 49 +- templates/llm-prompt/std/CommandR.jinja2 | 2 + templates/llm-prompt/std/CommandRPlus.jinja2 | 1 + templates/llm-prompt/std/Llama3.jinja2 | 7 + templates/llm-prompt/talemate/Llama-3.jinja2 | 7 + .../talemate/c4ai-command-r-plus.jinja2 | 1 + .../llm-prompt/talemate/c4ai-command.jinja2 | 2 + 62 files changed, 2105 insertions(+), 1085 deletions(-) create mode 100644 Dockerfile.backend create mode 100644 Dockerfile.frontend create mode 100644 docker-compose.yml create mode 100644 src/talemate/client/cohere.py create mode 100644 src/talemate/commands/cmd_autocomplete.py create mode 100644 src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2 create mode 100644 start-local.bat create mode 100644 templates/llm-prompt/std/CommandR.jinja2 create mode 100644 templates/llm-prompt/std/CommandRPlus.jinja2 create mode 100644 templates/llm-prompt/std/Llama3.jinja2 create mode 100644 templates/llm-prompt/talemate/Llama-3.jinja2 create mode 100644 templates/llm-prompt/talemate/c4ai-command-r-plus.jinja2 create mode 100644 templates/llm-prompt/talemate/c4ai-command.jinja2 diff --git a/Dockerfile.backend b/Dockerfile.backend new file mode 100644 index 00000000..836d6068 --- /dev/null +++ b/Dockerfile.backend @@ -0,0 +1,25 @@ +# Use an official Python runtime as a parent image +FROM python:3.11-slim + +# Set the working directory in the container +WORKDIR /app + +# Copy the current directory contents into the container at /app +COPY ./src /app/src + +# Copy poetry files +COPY pyproject.toml /app/ +# If there's a poetry lock file, include the following line +COPY poetry.lock /app/ + +# Install poetry +RUN pip install poetry + +# Install dependencies +RUN poetry install --no-dev + +# Make port 5050 available to the world outside this container +EXPOSE 5050 + +# Run backend server +CMD ["poetry", "run", "python", "src/talemate/server/run.py", "runserver", "--host", "0.0.0.0", "--port", "5050"] \ No newline at end of file diff --git a/Dockerfile.frontend b/Dockerfile.frontend new file mode 100644 index 00000000..8d7952fc --- /dev/null +++ b/Dockerfile.frontend @@ -0,0 +1,17 @@ +# Use an official node runtime as a parent image +FROM node:20 + +# Set the working directory in the container +WORKDIR /app + +# Copy the frontend directory contents into the container at /app +COPY ./talemate_frontend /app + +# Install any needed packages specified in package.json +RUN npm install + +# Make port 8080 available to the world outside this container +EXPOSE 8080 + +# Run frontend server +CMD ["npm", "run", "serve"] \ No newline at end of file diff --git a/README.md b/README.md index 997e2cc4..f87de25b 100644 --- a/README.md +++ b/README.md @@ -43,6 +43,7 @@ Please read the documents in the `docs` folder for more advanced configuration a - [Installation](#installation) - [Windows](#windows) - [Linux](#linux) + - [Docker](#docker) - [Connecting to an LLM](#connecting-to-an-llm) - [OpenAI / mistral.ai / Anthropic](#openai--mistralai--anthropic) - [Text-generation-webui / LMStudio](#text-generation-webui--lmstudio) @@ -81,12 +82,29 @@ There is also a [troubleshooting guide](docs/troubleshoot.md) that might help. `nodejs v19 or v20` :warning: `v21` not supported yet. -1. `git clone git@github.com:vegu-ai/talemate` +1. `git clone https://github.com/vegu-ai/talemate.git` 1. `cd talemate` 1. `source install.sh` 1. Start the backend: `python src/talemate/server/run.py runserver --host 0.0.0.0 --port 5050`. 1. Open a new terminal, navigate to the `talemate_frontend` directory, and start the frontend server by running `npm run serve`. +### Docker + +1. `git clone https://github.com/vegu-ai/talemate.git` +1. `cd talemate` +1. `docker-compose up` +1. Navigate your browser to http://localhost:8080 + +:warning: When connecting local APIs running on the hostmachine (e.g. text-generation-webui), you need to use `host.docker.internal` as the hostname. + +#### To shut down the Docker container + +Just closing the terminal window will not stop the Docker container. You need to run `docker-compose down` to stop the container. + +#### How to install Docker + +1. Download and install Docker Desktop from the [official Docker website](https://www.docker.com/products/docker-desktop). + # Connecting to an LLM On the right hand side click the "Add Client" button. If there is no button, you may need to toggle the client options by clicking this button: diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 00000000..00a99f88 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,27 @@ +version: '3.8' + +services: + talemate-backend: + build: + context: . + dockerfile: Dockerfile.backend + ports: + - "5050:5050" + volumes: + # can uncomment for dev purposes + #- ./src/talemate:/app/src/talemate + - ./config.yaml:/app/config.yaml + - ./scenes:/app/scenes + - ./templates:/app/templates + - ./chroma:/app/chroma + environment: + - PYTHONUNBUFFERED=1 + + talemate-frontend: + build: + context: . + dockerfile: Dockerfile.frontend + ports: + - "8080:8080" + volumes: + - ./talemate_frontend:/app diff --git a/install.sh b/install.sh index 5b8e4938..6b1418d9 100644 --- a/install.sh +++ b/install.sh @@ -1,7 +1,7 @@ #!/bin/bash # create a virtual environment -python -m venv talemate_env +python3 -m venv talemate_env # activate the virtual environment source talemate_env/bin/activate diff --git a/poetry.lock b/poetry.lock index 12f77c83..6edce97e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "aiodns" -version = "3.1.1" +version = "3.2.0" description = "Simple DNS resolver for asyncio" optional = false python-versions = "*" files = [ - {file = "aiodns-3.1.1-py3-none-any.whl", hash = "sha256:a387b63da4ced6aad35b1dda2d09620ad608a1c7c0fb71efa07ebb4cd511928d"}, - {file = "aiodns-3.1.1.tar.gz", hash = "sha256:1073eac48185f7a4150cad7f96a5192d6911f12b4fb894de80a088508c9b3a99"}, + {file = "aiodns-3.2.0-py3-none-any.whl", hash = "sha256:e443c0c27b07da3174a109fd9e736d69058d808f144d3c9d56dbd1776964c5f5"}, + {file = "aiodns-3.2.0.tar.gz", hash = "sha256:62869b23409349c21b072883ec8998316b234c9a9e36675756e8e317e8768f72"}, ] [package.dependencies] @@ -154,13 +154,13 @@ files = [ [[package]] name = "anthropic" -version = "0.21.3" +version = "0.25.6" description = "The official Python library for the 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"0.36.3" +version = "0.37.2" description = "The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"}, - {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"}, + {file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"}, + {file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"}, ] [package.dependencies] @@ -4406,13 +4573,13 @@ tqdm = ">4.64" [[package]] name = "transformers" -version = "4.39.2" +version = "4.39.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.8.0" files = [ - {file = "transformers-4.39.2-py3-none-any.whl", hash = "sha256:8388a4ae1d91ade935f5c5b36dc47aa1a352b092c30595e3337b49a5f7e71b4e"}, - {file = "transformers-4.39.2.tar.gz", hash = "sha256:be0c7392cb92ab48efab2656f1cfd1cbda33b2b8a2917a18bd1196707dbebe14"}, + {file = "transformers-4.39.3-py3-none-any.whl", hash = "sha256:7838034a12cca3168247f9d2d1dba6724c9de3ae0f73a108258c6b8fc5912601"}, + {file = "transformers-4.39.3.tar.gz", hash = "sha256:2586e5ff4150f122716fc40f5530e92871befc051848fbe82600969c535b762d"}, ] [package.dependencies] @@ -4497,31 +4664,44 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"] [[package]] name = "typer" -version = "0.11.1" +version = "0.12.3" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.7" files = [ - {file = "typer-0.11.1-py3-none-any.whl", hash = "sha256:4ce7b2a60b8543816ca97d5ec016026cbe95d1a7a931083b988c1d3682548fe7"}, - {file = "typer-0.11.1.tar.gz", hash = "sha256:f5ae987b97ebbbd59182f8e84407bbc925bc636867fa007bce87a7a71ac81d5c"}, + {file = "typer-0.12.3-py3-none-any.whl", hash = "sha256:070d7ca53f785acbccba8e7d28b08dcd88f79f1fbda035ade0aecec71ca5c914"}, + {file = "typer-0.12.3.tar.gz", hash = "sha256:49e73131481d804288ef62598d97a1ceef3058905aa536a1134f90891ba35482"}, ] [package.dependencies] click = ">=8.0.0" +rich = ">=10.11.0" +shellingham = ">=1.3.0" typing-extensions = ">=3.7.4.3" -[package.extras] -all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"] +[[package]] +name = "types-requests" +version = "2.31.0.20240406" +description = "Typing stubs for requests" +optional = false +python-versions = ">=3.8" +files = [ + {file = "types-requests-2.31.0.20240406.tar.gz", hash = "sha256:4428df33c5503945c74b3f42e82b181e86ec7b724620419a2966e2de604ce1a1"}, + {file = "types_requests-2.31.0.20240406-py3-none-any.whl", hash = "sha256:6216cdac377c6b9a040ac1c0404f7284bd13199c0e1bb235f4324627e8898cf5"}, +] + +[package.dependencies] +urllib3 = ">=2" [[package]] name = "typing-extensions" -version = "4.10.0" +version = "4.11.0" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"}, - {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"}, + {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"}, + {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, ] [[package]] @@ -5134,4 +5314,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "ddbb63ae26dfdf1d232b899e508e2009011b9fc2bf19b5221191eb3041ab7755" +content-hash = "c0634fa87038854faefbab86984d137f6dc6548a3f6e0ba5e81317691bcc7432" diff --git a/pyproject.toml b/pyproject.toml index 928af0bf..69d7b378 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.masonry.api" [tool.poetry] name = "talemate" -version = "0.22.0" +version = "0.23.0" description = "AI-backed roleplay and narrative tools" authors = ["FinalWombat"] license = "GNU Affero General Public License v3.0" @@ -18,6 +18,9 @@ rope = "^0.22" isort = "^5.10" jinja2 = "^3.0" openai = ">=1" +mistralai = ">=0.1.8" +cohere = ">=5.2.2" +anthropic = ">=0.19.1" requests = "^2.26" colorama = ">=0.4.6" Pillow = ">=9.5" @@ -39,7 +42,6 @@ thefuzz = ">=0.20.0" tiktoken = ">=0.5.1" nltk = ">=3.8.1" huggingface-hub = ">=0.20.2" -anthropic = ">=0.19.1" RestrictedPython = ">7.1" # ChromaDB diff --git a/scenes/simulation-suite/game.py b/scenes/simulation-suite/game.py index d8d7f2f5..18c79a38 100644 --- a/scenes/simulation-suite/game.py +++ b/scenes/simulation-suite/game.py @@ -3,14 +3,16 @@ def game(TM): MSG_PROCESSED_INSTRUCTIONS = "Simulation suite processed instructions" - MSG_HELP = "Instructions to the simulation computer are only process if the computer is addressed at the beginning of the instruction. Please state your commands by addressing the computer by stating \"Computer,\" followed by an instruction. For example ... \"Computer, i want to experience being on a derelict spaceship.\"" + MSG_HELP = "Instructions to the simulation computer are only processed if the computer is directly addressed at the beginning of the instruction. Please state your commands by addressing the computer by stating \"Computer,\" followed by an instruction. For example ... \"Computer, i want to experience being on a derelict spaceship.\"" PROMPT_NARRATE_ROUND = "Narrate the simulation and reveal some new details to the player in one paragraph. YOU MUST NOT ADDRESS THE COMPUTER OR THE SIMULATION." - PROMPT_STARTUP = "Narrate the computer asking the user to state the nature of their desired simulation." + PROMPT_STARTUP = "Narrate the computer asking the user to state the nature of their desired simulation in a synthetic and soft sounding voice." CTX_PIN_UNAWARE = "Characters in the simulation ARE NOT AWARE OF THE COMPUTER." + AUTO_NARRATE_INTERVAL = 10 + def parse_sim_call_arguments(call:str) -> str: """ Returns the value between the parentheses of a simulation call @@ -117,7 +119,7 @@ def game(TM): scene=TM.scene, ) - calls = calls.split("\n") + self.calls = calls = calls.split("\n") calls = self.prepare_calls(calls) @@ -152,6 +154,33 @@ def game(TM): self.update_world_state = True + self.set_simulation_title(compiled) + + def set_simulation_title(self, compiled_calls): + + """ + Generates a fitting title for the simulation based on the user's instructions + """ + + TM.log.debug("SIMULATION SUITE: set simulation title", name=TM.scene.title, compiled_calls=compiled_calls) + + if not compiled_calls: + return + + if TM.scene.title != "Simulation Suite": + # name already changed, no need to do it again + return + + title = TM.agents.creator.contextual_generate_from_args( + "scene:simulation title", + "Create a fitting title for the simulated scenario that the user has requested. You response MUST be a short but exciting, descriptive title.", + length=75 + ) + + title = title.strip('"').strip() + + TM.scene.set_title(title) + def prepare_calls(self, calls): """ Loops through calls and if a `set_player_name` call and a `set_player_persona` call are both @@ -320,6 +349,20 @@ def game(TM): else: character_name = TM.agents.creator.determine_character_name(character_name=f"{inject} - what is the name of the group of characters to be added to the scene? If no name can extracted from the text, extract a short descriptive name instead. Respond only with the name.", group=True) + # sometimes add_ai_character and change_ai_character are called in the same instruction targeting + # the same character, if this happens we need to combine into a single add_ai_character call + + has_change_ai_character_call = TM.client.query_text_eval(f"Are there any calls to `change_ai_character` in the instruction for {character_name}?", "\n".join(self.calls)) + + if has_change_ai_character_call: + combined_arg = TM.agents.world_state.analyze_and_follow_instruction( + "\n".join(self.calls), + f"Combine the arguments of the function calls `add_ai_character` and `change_ai_character` for {character_name} into a single text string. Respond with the new argument." + ) + call = f"add_ai_character({combined_arg})" + inject = f"The computer executes the function `{call}`" + + TM.emit_status("busy", f"Simulation suite adding character: {character_name}", as_scene_message=True) TM.log.debug("SIMULATION SUITE: add npc", name=character_name) @@ -429,6 +472,14 @@ def game(TM): def finalize_round(self): + # track rounds + rounds = TM.game_state.get_var("instr.rounds", 0) + + # increase rounds + TM.game_state.set_var("instr.rounds", rounds + 1, commit=False) + + has_issued_instructions = TM.game_state.has_var("instr.has_issued_instructions") + if self.update_world_state: self.run_update_world_state() @@ -437,7 +488,7 @@ def game(TM): TM.game_state.set_var("instr.lastprocessed_call", self.player_message.id, commit=False) TM.emit_status("success", MSG_PROCESSED_INSTRUCTIONS, as_scene_message=True) - elif self.player_message and not TM.game_state.has_var("instr.has_issued_instructions"): + elif self.player_message and not has_issued_instructions: # simulation started, player message is NOT an instruction, and player has not given # any instructions self.guide_player() @@ -445,6 +496,10 @@ def game(TM): elif self.player_message and not TM.scene.npc_character_names(): # simulation started, player message is NOT an instruction, but there are no npcs to interact with self.narrate_round() + + elif rounds % AUTO_NARRATE_INTERVAL == 0 and rounds and TM.scene.npc_character_names() and has_issued_instructions: + # every 3 rounds, narrate the round + self.narrate_round() def guide_player(self): TM.agents.narrator.action_to_narration( diff --git a/scenes/simulation-suite/simulation-suite.json b/scenes/simulation-suite/simulation-suite.json index 7fe717d7..8a7e77d6 100644 --- a/scenes/simulation-suite/simulation-suite.json +++ b/scenes/simulation-suite/simulation-suite.json @@ -1,5 +1,6 @@ { "name": "Simulation Suite", + "title": "Simulation Suite", "environment": "scene", "immutable_save": true, "restore_from": "simulation-suite.json", diff --git a/src/talemate/__init__.py b/src/talemate/__init__.py index ac5f8bc7..d0d6e5e8 100644 --- a/src/talemate/__init__.py +++ b/src/talemate/__init__.py @@ -2,4 +2,4 @@ from .agents import Agent from .client import TextGeneratorWebuiClient from .tale_mate import * -VERSION = "0.22.0" +VERSION = "0.23.0" diff --git a/src/talemate/agents/base.py b/src/talemate/agents/base.py index d349e9bd..ca148f9c 100644 --- a/src/talemate/agents/base.py +++ b/src/talemate/agents/base.py @@ -194,12 +194,12 @@ class Agent(ABC): return { "essential": self.essential, } - + @property def sanitized_action_config(self): if not getattr(self, "actions", None): return {} - + return {k: v.model_dump() for k, v in self.actions.items()} async def _handle_ready_check(self, fut: asyncio.Future): diff --git a/src/talemate/agents/conversation.py b/src/talemate/agents/conversation.py index c7856bc9..95251a77 100644 --- a/src/talemate/agents/conversation.py +++ b/src/talemate/agents/conversation.py @@ -22,7 +22,14 @@ from talemate.events import GameLoopEvent from talemate.prompts import Prompt from talemate.scene_message import CharacterMessage, DirectorMessage -from .base import Agent, AgentAction, AgentActionConfig, AgentDetail, AgentEmission, set_processing +from .base import ( + Agent, + AgentAction, + AgentActionConfig, + AgentDetail, + AgentEmission, + set_processing, +) from .registry import register if TYPE_CHECKING: @@ -180,22 +187,22 @@ class ConversationAgent(Agent): if self.actions["generation_override"].enabled: return self.actions["generation_override"].config["format"].value return "movie_script" - + @property def conversation_format_label(self): value = self.conversation_format - + choices = self.actions["generation_override"].config["format"].choices - + for choice in choices: if choice["value"] == value: return choice["label"] - + return value - + @property def agent_details(self) -> dict: - + details = { "client": AgentDetail( icon="mdi-network-outline", @@ -208,9 +215,9 @@ class ConversationAgent(Agent): description="Generation format of the scene context, as seen by the AI", ).model_dump(), } - + return details - + def connect(self, scene): super().connect(scene) talemate.emit.async_signals.get("game_loop").connect(self.on_game_loop) @@ -567,7 +574,7 @@ class ConversationAgent(Agent): def clean_result(self, result, character): if "#" in result: result = result.split("#")[0] - + if "(Internal" in result: result = result.split("(Internal")[0] diff --git a/src/talemate/agents/creator/assistant.py b/src/talemate/agents/creator/assistant.py index 0ece7004..b9565ac0 100644 --- a/src/talemate/agents/creator/assistant.py +++ b/src/talemate/agents/creator/assistant.py @@ -1,9 +1,11 @@ -from typing import TYPE_CHECKING, Union +import asyncio +from typing import TYPE_CHECKING, Tuple, Union import pydantic import talemate.util as util from talemate.agents.base import set_processing +from talemate.emit import emit from talemate.prompts import Prompt if TYPE_CHECKING: @@ -22,7 +24,7 @@ class ContentGenerationContext(pydantic.BaseModel): original: Union[str, None] = None @property - def computed_context(self) -> (str, str): + def computed_context(self) -> Tuple[str, str]: typ, context = self.context.split(":", 1) return typ, context @@ -54,6 +56,8 @@ class AssistantMixin: return await self.contextual_generate(generation_context) + contextual_generate_from_args.exposed = True + @set_processing async def contextual_generate( self, @@ -93,3 +97,45 @@ class AssistantMixin: content = util.strip_partial_sentences(content) return content.strip() + + @set_processing + async def autocomplete_dialogue( + self, + input: str, + character: "Character", + emit_signal: bool = True, + ) -> str: + """ + Autocomplete dialogue. + """ + + response = await Prompt.request( + f"creator.autocomplete-dialogue", + self.client, + "create_short", + vars={ + "scene": self.scene, + "max_tokens": self.client.max_token_length, + "input": input.strip(), + "character": character, + "can_coerce": self.client.Meta().requires_prompt_template, + }, + pad_prepended_response=False, + dedupe_enabled=False, + ) + + response = util.clean_dialogue(response, character.name)[ + len(character.name + ":") : + ].strip() + + if response.startswith(input): + response = response[len(input) :] + + self.scene.log.debug( + "autocomplete_suggestion", suggestion=response, input=input + ) + + if emit_signal: + emit("autocomplete_suggestion", response) + + return response diff --git a/src/talemate/agents/creator/character.py b/src/talemate/agents/creator/character.py index 491c781d..5437fdc5 100644 --- a/src/talemate/agents/creator/character.py +++ b/src/talemate/agents/creator/character.py @@ -192,7 +192,7 @@ class CharacterCreatorMixin: }, ) return content_context.strip() - + @set_processing async def determine_character_dialogue_instructions( self, @@ -201,13 +201,13 @@ class CharacterCreatorMixin: instructions = await Prompt.request( f"creator.determine-character-dialogue-instructions", self.client, - "create", + "create_concise", vars={ "character": character, }, ) - - r = instructions.strip().strip('"').strip() + + r = instructions.strip().split("\n")[0].strip('"').strip() return r @set_processing @@ -230,7 +230,7 @@ class CharacterCreatorMixin: self, character_name: str, allowed_names: list[str] = None, - group:bool = False, + group: bool = False, ) -> str: name = await Prompt.request( f"creator.determine-character-name", diff --git a/src/talemate/agents/creator/scenario.py b/src/talemate/agents/creator/scenario.py index 54055e2c..9bbfbe79 100644 --- a/src/talemate/agents/creator/scenario.py +++ b/src/talemate/agents/creator/scenario.py @@ -128,20 +128,19 @@ class ScenarioCreatorMixin: "text": text, }, ) - return description - + return description.strip() @set_processing async def determine_content_context_for_description( self, - description:str, + description: str, ): content_context = await Prompt.request( f"creator.determine-content-context", self.client, - "create", + "create_short", vars={ "description": description, }, ) - return content_context.strip() \ No newline at end of file + return content_context.lstrip().split("\n")[0].strip('"').strip() diff --git a/src/talemate/agents/director.py b/src/talemate/agents/director.py index 9f0c7ee6..aaaf23ce 100644 --- a/src/talemate/agents/director.py +++ b/src/talemate/agents/director.py @@ -15,9 +15,9 @@ from talemate.agents.conversation import ConversationAgentEmission from talemate.automated_action import AutomatedAction from talemate.emit import emit, wait_for_input from talemate.events import GameLoopActorIterEvent, GameLoopStartEvent, SceneStateEvent +from talemate.game.engine import GameInstructionsMixin from talemate.prompts import Prompt from talemate.scene_message import DirectorMessage, NarratorMessage -from talemate.game.engine import GameInstructionsMixin from .base import Agent, AgentAction, AgentActionConfig, set_processing from .registry import register @@ -78,9 +78,9 @@ class DirectorAgent(GameInstructionsMixin, Agent): { "label": "Inner Monologue", "value": "internal_monologue", - } - ] - ) + }, + ], + ), }, ), } @@ -100,11 +100,11 @@ class DirectorAgent(GameInstructionsMixin, Agent): @property def direct_enabled(self): return self.actions["direct"].enabled - + @property def direct_actors_enabled(self): return self.actions["direct"].config["direct_actors"].value - + @property def direct_scene_enabled(self): return self.actions["direct"].config["direct_scene"].value @@ -287,7 +287,6 @@ class DirectorAgent(GameInstructionsMixin, Agent): self.scene.push_history(message) else: await self.run_scene_instructions(self.scene) - @set_processing async def persist_characters_from_worldstate( @@ -329,7 +328,7 @@ class DirectorAgent(GameInstructionsMixin, Agent): creator = instance.get_agent("creator") self.scene.log.debug("persist_character", name=name) - + if determine_name: name = await creator.determine_character_name(name) self.scene.log.debug("persist_character", adjusted_name=name) @@ -367,11 +366,15 @@ class DirectorAgent(GameInstructionsMixin, Agent): self.scene.log.debug("persist_character", description=description) - dialogue_instructions = await creator.determine_character_dialogue_instructions(character) - + dialogue_instructions = await creator.determine_character_dialogue_instructions( + character + ) + character.dialogue_instructions = dialogue_instructions - - self.scene.log.debug("persist_character", dialogue_instructions=dialogue_instructions) + + self.scene.log.debug( + "persist_character", dialogue_instructions=dialogue_instructions + ) actor = self.scene.Actor( character=character, agent=instance.get_agent("conversation") @@ -404,10 +407,11 @@ class DirectorAgent(GameInstructionsMixin, Agent): self.scene.context = response.strip() self.scene.emit_status() - async def log_action(self, action:str, action_description:str): + async def log_action(self, action: str, action_description: str): message = DirectorMessage(message=action_description, action=action) self.scene.push_history(message) emit("director", message) + log_action.exposed = True def inject_prompt_paramters( diff --git a/src/talemate/agents/narrator.py b/src/talemate/agents/narrator.py index 32b6df45..1b799206 100644 --- a/src/talemate/agents/narrator.py +++ b/src/talemate/agents/narrator.py @@ -617,6 +617,7 @@ class NarratorAgent(Agent): emit("narrator", narrator_message) return narrator_message + action_to_narration.exposed = True # LLM client related methods. These are called during or after the client diff --git a/src/talemate/agents/summarize.py b/src/talemate/agents/summarize.py index 24b15650..3afcc945 100644 --- a/src/talemate/agents/summarize.py +++ b/src/talemate/agents/summarize.py @@ -140,7 +140,9 @@ class SummarizeAgent(Agent): if recent_entry: ts = recent_entry.get("ts", ts) - for i in range(start, len(scene.history)): + # we ignore the most recent entry, as the user may still chose to + # regenerate it + for i in range(start, max(start, len(scene.history) - 1)): dialogue = scene.history[i] # log.debug("build_archive", idx=i, content=str(dialogue)[:64]+"...") diff --git a/src/talemate/agents/visual/__init__.py b/src/talemate/agents/visual/__init__.py index ce959fe3..ee6f56a8 100644 --- a/src/talemate/agents/visual/__init__.py +++ b/src/talemate/agents/visual/__init__.py @@ -73,7 +73,7 @@ class VisualBase(Agent): ), "default_style": AgentActionConfig( type="text", - value="ink_illustration", + value="concept_art", choices=MAJOR_STYLES, label="Default Style", description="The default style to use for visual processing", @@ -219,15 +219,15 @@ class VisualBase(Agent): ) await super().apply_config(*args, **kwargs) - + backend_fn = getattr(self, f"{self.backend.lower()}_apply_config", None) if backend_fn: - + if not backend_changed and was_disabled and self.enabled: # If the backend has not changed, but the agent was previously disabled # and is now enabled, we need to trigger the backend apply_config function backend_changed = True - + task = asyncio.create_task( backend_fn(backend_changed=backend_changed, *args, **kwargs) ) @@ -351,6 +351,9 @@ class VisualBase(Agent): vis_type_styles = self.vis_type_styles(context.vis_type) prompt = self.prepare_prompt(prompt, [vis_type_styles, thematic_style]) + if context.vis_type == VIS_TYPES.CHARACTER: + prompt.keywords.append("character portrait") + if not prompt: log.error( "generate", error="No prompt provided and no context to generate from" @@ -429,6 +432,7 @@ class VisualBase(Agent): async def generate_environment_background(self, instructions: str = None): with VisualContext(vis_type=VIS_TYPES.ENVIRONMENT, instructions=instructions): await self.generate(format="landscape") + generate_environment_background.exposed = True async def generate_character_portrait( @@ -442,8 +446,10 @@ class VisualBase(Agent): instructions=instructions, ): await self.generate(format="portrait") + generate_character_portrait.exposed = True + # apply mixins to the agent (from HANDLERS dict[str, cls]) for mixin_backend, mixin in HANDLERS.items(): diff --git a/src/talemate/agents/visual/openai_image.py b/src/talemate/agents/visual/openai_image.py index 1d09c4c8..85f145d2 100644 --- a/src/talemate/agents/visual/openai_image.py +++ b/src/talemate/agents/visual/openai_image.py @@ -1,5 +1,6 @@ import base64 import io +from urllib.parse import unquote import httpx import structlog @@ -100,6 +101,8 @@ class OpenAIImageMixin: else: resolution = Resolution(width=1024, height=1024) + log.debug("openai_image_generate", resolution=resolution) + response = await client.images.generate( model=self.openai_model_type, prompt=prompt.positive_prompt, @@ -110,8 +113,15 @@ class OpenAIImageMixin: download_url = response.data[0].url + # decode url because httpx will encode it again + download_url = unquote(download_url) + log.debug("openai_image_generate", download_url=download_url) + async with httpx.AsyncClient() as client: response = await client.get(download_url, timeout=90) + log.debug("openai_image_generate", status_code=response.status_code) + if response.status_code >= 400: + raise ValueError(f"Error downloading image: {response.content}") # bytes to base64encoded image = base64.b64encode(response.content).decode("utf-8") await self.emit_image(image) diff --git a/src/talemate/agents/visual/style.py b/src/talemate/agents/visual/style.py index cf37ff9e..9d72c2f8 100644 --- a/src/talemate/agents/visual/style.py +++ b/src/talemate/agents/visual/style.py @@ -31,6 +31,14 @@ class Style(pydantic.BaseModel): def load(self, prompt: str, negative_prompt: str = ""): self.keywords = prompt.split(", ") self.negative_keywords = negative_prompt.split(", ") + + # loop through keywords and drop any starting with "no " and add to negative_keywords + # with "no " removed + for kw in self.keywords: + if kw.startswith("no "): + self.keywords.remove(kw) + self.negative_keywords.append(kw[3:]) + return self def prepend(self, *styles): diff --git a/src/talemate/agents/world_state.py b/src/talemate/agents/world_state.py index 5e3eddf8..4b1cfed9 100644 --- a/src/talemate/agents/world_state.py +++ b/src/talemate/agents/world_state.py @@ -212,6 +212,7 @@ class WorldStateAgent(Agent): self.next_update = 0 await scene.world_state.request_update() + update_world_state.exposed = True @set_processing diff --git a/src/talemate/client/__init__.py b/src/talemate/client/__init__.py index e48aaaa8..9cf60d11 100644 --- a/src/talemate/client/__init__.py +++ b/src/talemate/client/__init__.py @@ -1,10 +1,11 @@ import os import talemate.client.runpod -from talemate.client.lmstudio import LMStudioClient -from talemate.client.openai import OpenAIClient -from talemate.client.mistral import MistralAIClient from talemate.client.anthropic import AnthropicClient +from talemate.client.cohere import CohereClient +from talemate.client.lmstudio import LMStudioClient +from talemate.client.mistral import MistralAIClient +from talemate.client.openai import OpenAIClient from talemate.client.openai_compat import OpenAICompatibleClient from talemate.client.registry import CLIENT_CLASSES, get_client_class, register from talemate.client.textgenwebui import TextGeneratorWebuiClient diff --git a/src/talemate/client/base.py b/src/talemate/client/base.py index 7d8aee25..9dd4f331 100644 --- a/src/talemate/client/base.py +++ b/src/talemate/client/base.py @@ -79,6 +79,8 @@ class ClientBase: conversation_retries: int = 2 auto_break_repetition_enabled: bool = True decensor_enabled: bool = True + auto_determine_prompt_template: bool = False + finalizers: list[str] = [] client_type = "base" class Meta(pydantic.BaseModel): @@ -97,6 +99,7 @@ class ClientBase: ): self.api_url = api_url self.name = name or self.client_type + self.auto_determine_prompt_template_attempt = None self.log = structlog.get_logger(f"client.{self.client_type}") if "max_token_length" in kwargs: self.max_token_length = ( @@ -262,13 +265,30 @@ class ClientBase: self.current_status = status prompt_template_example, prompt_template_file = self.prompt_template_example() + has_prompt_template = ( + prompt_template_file and prompt_template_file != "default.jinja2" + ) + + if not has_prompt_template and self.auto_determine_prompt_template: + + # only attempt to determine the prompt template once per model and + # only if the model does not already have a prompt template + + if self.auto_determine_prompt_template_attempt != self.model_name: + log.info("auto_determine_prompt_template", model_name=self.model_name) + self.auto_determine_prompt_template_attempt = self.model_name + self.determine_prompt_template() + prompt_template_example, prompt_template_file = ( + self.prompt_template_example() + ) + has_prompt_template = ( + prompt_template_file and prompt_template_file != "default.jinja2" + ) data = { "api_key": self.api_key, "prompt_template_example": prompt_template_example, - "has_prompt_template": ( - prompt_template_file and prompt_template_file != "default.jinja2" - ), + "has_prompt_template": has_prompt_template, "template_file": prompt_template_file, "meta": self.Meta().model_dump(), "error_action": None, @@ -289,6 +309,15 @@ class ClientBase: if status_change: instance.emit_agent_status_by_client(self) + def determine_prompt_template(self): + if not self.model_name: + return + + template = model_prompt.query_hf_for_prompt_template_suggestion(self.model_name) + + if template: + model_prompt.create_user_override(template, self.model_name) + async def get_model_name(self): models = await self.client.models.list() try: @@ -373,6 +402,14 @@ class ClientBase: else: parameters["extra_stopping_strings"] = dialog_stopping_strings + def finalize(self, parameters: dict, prompt: str): + for finalizer in self.finalizers: + fn = getattr(self, finalizer, None) + prompt, applied = fn(parameters, prompt) + if applied: + return prompt + return prompt + async def generate(self, prompt: str, parameters: dict, kind: str): """ Generates text from the given prompt and parameters. @@ -421,6 +458,9 @@ class ClientBase: finalized_prompt = self.prompt_template( self.get_system_message(kind), prompt ).strip(" ") + + finalized_prompt = self.finalize(prompt_param, finalized_prompt) + prompt_param = finalize(prompt_param) token_length = self.count_tokens(finalized_prompt) diff --git a/src/talemate/client/cohere.py b/src/talemate/client/cohere.py new file mode 100644 index 00000000..0fcf7e6d --- /dev/null +++ b/src/talemate/client/cohere.py @@ -0,0 +1,225 @@ +import pydantic +import structlog +from cohere import AsyncClient + +from talemate.client.base import ClientBase, ErrorAction +from talemate.client.registry import register +from talemate.config import load_config +from talemate.emit import emit +from talemate.emit.signals import handlers +from talemate.util import count_tokens + +__all__ = [ + "CohereClient", +] +log = structlog.get_logger("talemate") + +# Edit this to add new models / remove old models +SUPPORTED_MODELS = [ + "command", + "command-r", + "command-r-plus", +] + + +class Defaults(pydantic.BaseModel): + max_token_length: int = 16384 + model: str = "command-r-plus" + + +@register() +class CohereClient(ClientBase): + """ + Cohere client for generating text. + """ + + client_type = "cohere" + conversation_retries = 0 + auto_break_repetition_enabled = False + decensor_enabled = True + + class Meta(ClientBase.Meta): + name_prefix: str = "Cohere" + title: str = "Cohere" + manual_model: bool = True + manual_model_choices: list[str] = SUPPORTED_MODELS + requires_prompt_template: bool = False + defaults: Defaults = Defaults() + + def __init__(self, model="command-r-plus", **kwargs): + self.model_name = model + self.api_key_status = None + self.config = load_config() + super().__init__(**kwargs) + + handlers["config_saved"].connect(self.on_config_saved) + + @property + def cohere_api_key(self): + return self.config.get("cohere", {}).get("api_key") + + def emit_status(self, processing: bool = None): + error_action = None + if processing is not None: + self.processing = processing + + if self.cohere_api_key: + status = "busy" if self.processing else "idle" + model_name = self.model_name + else: + status = "error" + model_name = "No API key set" + error_action = ErrorAction( + title="Set API Key", + action_name="openAppConfig", + icon="mdi-key-variant", + arguments=[ + "application", + "cohere_api", + ], + ) + + if not self.model_name: + status = "error" + model_name = "No model loaded" + + self.current_status = status + + emit( + "client_status", + message=self.client_type, + id=self.name, + details=model_name, + status=status, + data={ + "error_action": error_action.model_dump() if error_action else None, + "meta": self.Meta().model_dump(), + }, + ) + + def set_client(self, max_token_length: int = None): + if not self.cohere_api_key: + self.client = AsyncClient("sk-1111") + log.error("No cohere API key set") + if self.api_key_status: + self.api_key_status = False + emit("request_client_status") + emit("request_agent_status") + return + + if not self.model_name: + self.model_name = "command-r-plus" + + if max_token_length and not isinstance(max_token_length, int): + max_token_length = int(max_token_length) + + model = self.model_name + + self.client = AsyncClient(self.cohere_api_key) + self.max_token_length = max_token_length or 16384 + + if not self.api_key_status: + if self.api_key_status is False: + emit("request_client_status") + emit("request_agent_status") + self.api_key_status = True + + log.info( + "cohere set client", + max_token_length=self.max_token_length, + provided_max_token_length=max_token_length, + model=model, + ) + + def reconfigure(self, **kwargs): + if kwargs.get("model"): + self.model_name = kwargs["model"] + self.set_client(kwargs.get("max_token_length")) + + def on_config_saved(self, event): + config = event.data + self.config = config + self.set_client(max_token_length=self.max_token_length) + + def response_tokens(self, response: str): + return count_tokens(response.text) + + def prompt_tokens(self, prompt: str): + return count_tokens(prompt) + + async def status(self): + self.emit_status() + + def prompt_template(self, system_message: str, prompt: str): + if "<|BOT|>" in prompt: + _, right = prompt.split("<|BOT|>", 1) + if right: + prompt = prompt.replace("<|BOT|>", "\nStart your response with: ") + else: + prompt = prompt.replace("<|BOT|>", "") + + return prompt + + def tune_prompt_parameters(self, parameters: dict, kind: str): + super().tune_prompt_parameters(parameters, kind) + keys = list(parameters.keys()) + valid_keys = ["temperature", "max_tokens"] + for key in keys: + if key not in valid_keys: + del parameters[key] + + async def generate(self, prompt: str, parameters: dict, kind: str): + """ + Generates text from the given prompt and parameters. + """ + + if not self.cohere_api_key: + raise Exception("No cohere API key set") + + right = None + expected_response = None + try: + _, right = prompt.split("\nStart your response with: ") + expected_response = right.strip() + except (IndexError, ValueError): + pass + + human_message = prompt.strip() + system_message = self.get_system_message(kind) + + self.log.debug( + "generate", + prompt=prompt[:128] + " ...", + parameters=parameters, + system_message=system_message, + ) + + try: + response = await self.client.chat( + model=self.model_name, + preamble=system_message, + message=human_message, + **parameters, + ) + + self._returned_prompt_tokens = self.prompt_tokens(prompt) + self._returned_response_tokens = self.response_tokens(response) + + log.debug("generated response", response=response.text) + + response = response.text + + if expected_response and expected_response.startswith("{"): + if response.startswith("```json") and response.endswith("```"): + response = response[7:-3].strip() + + if right and response.startswith(right): + response = response[len(right) :].strip() + + return response + # except PermissionDeniedError as e: + # self.log.error("generate error", e=e) + # emit("status", message="cohere API: Permission Denied", status="error") + # return "" + except Exception as e: + raise diff --git a/src/talemate/client/lmstudio.py b/src/talemate/client/lmstudio.py index 0fa160db..e2e62540 100644 --- a/src/talemate/client/lmstudio.py +++ b/src/talemate/client/lmstudio.py @@ -12,6 +12,7 @@ class Defaults(pydantic.BaseModel): @register() class LMStudioClient(ClientBase): + auto_determine_prompt_template: bool = True client_type = "lmstudio" class Meta(ClientBase.Meta): diff --git a/src/talemate/client/mistral.py b/src/talemate/client/mistral.py index fd85c99e..302051f9 100644 --- a/src/talemate/client/mistral.py +++ b/src/talemate/client/mistral.py @@ -1,9 +1,8 @@ -import json - import pydantic import structlog -import tiktoken -from openai import AsyncOpenAI, PermissionDeniedError +from mistralai.async_client import MistralAsyncClient +from mistralai.exceptions import MistralAPIStatusException +from mistralai.models.chat_completion import ChatMessage from talemate.client.base import ClientBase, ErrorAction from talemate.client.registry import register @@ -25,6 +24,8 @@ SUPPORTED_MODELS = [ "mistral-large-latest", ] +JSON_OBJECT_RESPONSE_MODELS = SUPPORTED_MODELS + class Defaults(pydantic.BaseModel): max_token_length: int = 16384 @@ -41,7 +42,7 @@ class MistralAIClient(ClientBase): conversation_retries = 0 auto_break_repetition_enabled = False # TODO: make this configurable? - decensor_enabled = False + decensor_enabled = True class Meta(ClientBase.Meta): name_prefix: str = "MistralAI" @@ -104,7 +105,7 @@ class MistralAIClient(ClientBase): def set_client(self, max_token_length: int = None): if not self.mistralai_api_key: - self.client = AsyncOpenAI(api_key="sk-1111") + self.client = MistralAsyncClient(api_key="sk-1111") log.error("No mistral.ai API key set") if self.api_key_status: self.api_key_status = False @@ -120,9 +121,7 @@ class MistralAIClient(ClientBase): model = self.model_name - self.client = AsyncOpenAI( - api_key=self.mistralai_api_key, base_url="https://api.mistral.ai/v1/" - ) + self.client = MistralAsyncClient(api_key=self.mistralai_api_key) self.max_token_length = max_token_length or 16384 if not self.api_key_status: @@ -183,16 +182,23 @@ class MistralAIClient(ClientBase): if not self.mistralai_api_key: raise Exception("No mistral.ai API key set") + supports_json_object = self.model_name in JSON_OBJECT_RESPONSE_MODELS right = None expected_response = None try: _, right = prompt.split("\nStart your response with: ") expected_response = right.strip() + if expected_response.startswith("{") and supports_json_object: + parameters["response_format"] = {"type": "json_object"} except (IndexError, ValueError): pass - human_message = {"role": "user", "content": prompt.strip()} - system_message = {"role": "system", "content": self.get_system_message(kind)} + system_message = self.get_system_message(kind) + + messages = [ + ChatMessage(role="system", content=system_message), + ChatMessage(role="user", content=prompt.strip()), + ] self.log.debug( "generate", @@ -202,9 +208,9 @@ class MistralAIClient(ClientBase): ) try: - response = await self.client.chat.completions.create( + response = await self.client.chat( model=self.model_name, - messages=[system_message, human_message], + messages=messages, **parameters, ) @@ -216,7 +222,11 @@ class MistralAIClient(ClientBase): # older models don't support json_object response coersion # and often like to return the response wrapped in ```json # so we strip that out if the expected response is a json object - if expected_response and expected_response.startswith("{"): + if ( + not supports_json_object + and expected_response + and expected_response.startswith("{") + ): if response.startswith("```json") and response.endswith("```"): response = response[7:-3].strip() @@ -224,9 +234,14 @@ class MistralAIClient(ClientBase): response = response[len(right) :].strip() return response - except PermissionDeniedError as e: + except MistralAPIStatusException as e: self.log.error("generate error", e=e) - emit("status", message="mistral.ai API: Permission Denied", status="error") + if e.http_status in [403, 401]: + emit( + "status", + message="mistral.ai API: Permission Denied", + status="error", + ) return "" except Exception as e: raise diff --git a/src/talemate/client/model_prompts.py b/src/talemate/client/model_prompts.py index 38b4fbe1..3382f5bc 100644 --- a/src/talemate/client/model_prompts.py +++ b/src/talemate/client/model_prompts.py @@ -1,3 +1,4 @@ +import json import os import shutil import tempfile @@ -155,11 +156,19 @@ class ModelPrompt: except ValueError: return None - models = list( - api.list_models( - filter=huggingface_hub.ModelFilter(model_name=model_name, author=author) - ) - ) + branch_name = "main" + + # special popular cases + + # bartowski + + if author == "bartowski" and "exl2" in model_name: + # split model_name by exl2 and take the first part with "exl2" readded + # the second part is the branch name + model_name, branch_name = model_name.split("exl2_", 1) + model_name = f"{model_name}exl2" + + models = list(api.list_models(model_name=model_name, author=author)) if not models: return None @@ -167,9 +176,14 @@ class ModelPrompt: model = models[0] repo_id = f"{author}/{model_name}" + + # Check README.md with tempfile.TemporaryDirectory() as tmpdir: readme_path = huggingface_hub.hf_hub_download( - repo_id=repo_id, filename="README.md", cache_dir=tmpdir + repo_id=repo_id, + filename="README.md", + cache_dir=tmpdir, + revision=branch_name, ) if not readme_path: return None @@ -180,6 +194,24 @@ class ModelPrompt: if identifier(readme): return f"{identifier.template_str}.jinja2" + # Check tokenizer_config.json + # "chat_template" key + with tempfile.TemporaryDirectory() as tmpdir: + config_path = huggingface_hub.hf_hub_download( + repo_id=repo_id, + filename="tokenizer_config.json", + cache_dir=tmpdir, + revision=branch_name, + ) + if not config_path: + return None + with open(config_path) as f: + config = json.load(f) + for identifer_cls in TEMPLATE_IDENTIFIERS: + identifier = identifer_cls() + if identifier(config.get("chat_template", "")): + return f"{identifier.template_str}.jinja2" + model_prompt = ModelPrompt() @@ -197,6 +229,14 @@ class Llama2Identifier(TemplateIdentifier): return "[INST]" in content and "[/INST]" in content +@register_template_identifier +class Llama3Identifier(TemplateIdentifier): + template_str = "Llama3" + + def __call__(self, content: str): + return "<|start_header_id|>" in content and "<|end_header_id|>" in content + + @register_template_identifier class ChatMLIdentifier(TemplateIdentifier): template_str = "ChatML" @@ -211,11 +251,42 @@ class ChatMLIdentifier(TemplateIdentifier): {{ coercion_message }} """ + return "<|im_start|>" in content and "<|im_end|>" in content + + +@register_template_identifier +class CommandRIdentifier(TemplateIdentifier): + template_str = "CommandR" + + def __call__(self, content: str): + """ + <|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ system_message }} + {{ user_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|> + <|CHATBOT_TOKEN|>{{ coercion_message }} + """ + return ( - "<|im_start|>system" in content - and "<|im_end|>" in content - and "<|im_start|>user" in content - and "<|im_start|>assistant" in content + "<|START_OF_TURN_TOKEN|>" in content + and "<|END_OF_TURN_TOKEN|>" in content + and "<|SYSTEM_TOKEN|>" not in content + ) + + +@register_template_identifier +class CommandRPlusIdentifier(TemplateIdentifier): + template_str = "CommandRPlus" + + def __call__(self, content: str): + """ + <|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ system_message }} + <|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ user_message }} + <|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{ coercion_message }} + """ + + return ( + "<|START_OF_TURN_TOKEN|>" in content + and "<|END_OF_TURN_TOKEN|>" in content + and "<|SYSTEM_TOKEN|>" in content ) diff --git a/src/talemate/client/openai.py b/src/talemate/client/openai.py index 2a8707d3..44ddc70b 100644 --- a/src/talemate/client/openai.py +++ b/src/talemate/client/openai.py @@ -26,6 +26,8 @@ SUPPORTED_MODELS = [ "gpt-4-1106-preview", "gpt-4-0125-preview", "gpt-4-turbo-preview", + "gpt-4-turbo-2024-04-09", + "gpt-4-turbo", ] JSON_OBJECT_RESPONSE_MODELS = [ @@ -90,7 +92,7 @@ def num_tokens_from_messages(messages: list[dict], model: str = "gpt-3.5-turbo-0 class Defaults(pydantic.BaseModel): max_token_length: int = 16384 - model: str = "gpt-4-turbo-preview" + model: str = "gpt-4-turbo" @register() @@ -113,7 +115,7 @@ class OpenAIClient(ClientBase): requires_prompt_template: bool = False defaults: Defaults = Defaults() - def __init__(self, model="gpt-4-turbo-preview", **kwargs): + def __init__(self, model="gpt-4-turbo", **kwargs): self.model_name = model self.api_key_status = None self.config = load_config() diff --git a/src/talemate/client/openai_compat.py b/src/talemate/client/openai_compat.py index 4a15e343..2d84a888 100644 --- a/src/talemate/client/openai_compat.py +++ b/src/talemate/client/openai_compat.py @@ -1,12 +1,13 @@ +import urllib + import pydantic import structlog -import urllib from openai import AsyncOpenAI, NotFoundError, PermissionDeniedError from talemate.client.base import ClientBase, ExtraField from talemate.client.registry import register -from talemate.emit import emit from talemate.config import Client as BaseClientConfig +from talemate.emit import emit log = structlog.get_logger("talemate.client.openai_compat") diff --git a/src/talemate/client/runpod.py b/src/talemate/client/runpod.py index c28d4ab0..9cd64a21 100644 --- a/src/talemate/client/runpod.py +++ b/src/talemate/client/runpod.py @@ -21,11 +21,13 @@ dotenv.load_dotenv() runpod.api_key = load_config().get("runpod", {}).get("api_key", "") +TEXTGEN_IDENTIFIERS = ["textgen", "thebloke llms", "text-generation-webui"] + def is_textgen_pod(pod): name = pod["name"].lower() - if "textgen" in name or "thebloke llms" in name: + if any(identifier in name for identifier in TEXTGEN_IDENTIFIERS): return True return False diff --git a/src/talemate/client/textgenwebui.py b/src/talemate/client/textgenwebui.py index 3c2d817c..e849cebb 100644 --- a/src/talemate/client/textgenwebui.py +++ b/src/talemate/client/textgenwebui.py @@ -13,6 +13,12 @@ log = structlog.get_logger("talemate.client.textgenwebui") @register() class TextGeneratorWebuiClient(ClientBase): + auto_determine_prompt_template: bool = True + finalizers: list[str] = [ + "finalize_llama3", + "finalize_YI", + ] + client_type = "textgenwebui" class Meta(ClientBase.Meta): @@ -28,23 +34,42 @@ class TextGeneratorWebuiClient(ClientBase): parameters["max_new_tokens"] = parameters["max_tokens"] parameters["stop"] = parameters["stopping_strings"] - # Half temperature on -Yi- models - if self.model_name and self.is_yi_model(): - parameters["smoothing_factor"] = 0.3 - # also half the temperature - parameters["temperature"] = max(0.1, parameters["temperature"] / 2) - log.debug( - "applying temperature smoothing for Yi model", - ) - def set_client(self, **kwargs): self.client = AsyncOpenAI(base_url=self.api_url + "/v1", api_key="sk-1111") - def is_yi_model(self): + def finalize_llama3(self, parameters: dict, prompt: str) -> tuple[str, bool]: + + if "<|eot_id|>" not in prompt: + return prompt, False + + # llama3 instruct models need to add "<|eot_id|>", "<|end_of_text|>" to the stopping strings + parameters["stopping_strings"] += ["<|eot_id|>", "<|end_of_text|>"] + + # also needs to add `skip_special_tokens`= False to the parameters + parameters["skip_special_tokens"] = False + log.debug("finalizing llama3 instruct parameters", parameters=parameters) + + if prompt.endswith("<|end_header_id|>"): + # append two linebreaks + prompt += "\n\n" + log.debug("adjusting llama3 instruct prompt: missing linebreaks") + + return prompt, True + + def finalize_YI(self, parameters: dict, prompt: str) -> tuple[str, bool]: model_name = self.model_name.lower() # regex match for yi encased by non-word characters + if not bool(re.search(r"[\-_]yi[\-_]", model_name)): + return prompt, False - return bool(re.search(r"[\-_]yi[\-_]", model_name)) + parameters["smoothing_factor"] = 0.1 + # also half the temperature + parameters["temperature"] = max(0.1, parameters["temperature"] / 2) + log.debug( + "finalizing YI parameters", + parameters=parameters, + ) + return prompt, True async def get_model_name(self): async with httpx.AsyncClient() as client: diff --git a/src/talemate/commands/__init__.py b/src/talemate/commands/__init__.py index 3a7cf9c7..726661e7 100644 --- a/src/talemate/commands/__init__.py +++ b/src/talemate/commands/__init__.py @@ -1,4 +1,5 @@ from .base import TalemateCommand +from .cmd_autocomplete import * from .cmd_characters import * from .cmd_debug_tools import * from .cmd_dialogue import * diff --git a/src/talemate/commands/cmd_autocomplete.py b/src/talemate/commands/cmd_autocomplete.py new file mode 100644 index 00000000..b1fa5937 --- /dev/null +++ b/src/talemate/commands/cmd_autocomplete.py @@ -0,0 +1,26 @@ +from talemate.commands.base import TalemateCommand +from talemate.commands.manager import register +from talemate.emit import emit + +__all__ = [ + "CmdAutocompleteDialogue", +] + + +@register +class CmdAutocompleteDialogue(TalemateCommand): + """ + Command class for the 'autocomplete_dialogue' command + """ + + name = "autocomplete_dialogue" + description = "Generate dialogue for an AI selected actor" + aliases = ["acdlg"] + + async def run(self): + + input = self.args[0] + creator = self.scene.get_helper("creator").agent + character = self.scene.get_player_character() + + await creator.autocomplete_dialogue(input, character, emit_signal=True) diff --git a/src/talemate/config.py b/src/talemate/config.py index da1bbd3b..96517ee9 100644 --- a/src/talemate/config.py +++ b/src/talemate/config.py @@ -1,13 +1,13 @@ +import copy import datetime import os -import copy -from typing import TYPE_CHECKING, ClassVar, Dict, Optional, TypeVar, Union, Any -from typing_extensions import Annotated +from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, TypeVar, Union import pydantic import structlog import yaml from pydantic import BaseModel, Field +from typing_extensions import Annotated from talemate.agents.registry import get_agent_class from talemate.client.registry import get_client_class @@ -140,6 +140,10 @@ class AnthropicConfig(BaseModel): api_key: Union[str, None] = None +class CohereConfig(BaseModel): + api_key: Union[str, None] = None + + class RunPodConfig(BaseModel): api_key: Union[str, None] = None @@ -322,6 +326,8 @@ class Config(BaseModel): anthropic: AnthropicConfig = AnthropicConfig() + cohere: CohereConfig = CohereConfig() + runpod: RunPodConfig = RunPodConfig() chromadb: ChromaDB = ChromaDB() diff --git a/src/talemate/emit/signals.py b/src/talemate/emit/signals.py index 641fda08..e207ae72 100644 --- a/src/talemate/emit/signals.py +++ b/src/talemate/emit/signals.py @@ -36,6 +36,8 @@ ConfigSaved = signal("config_saved") ImageGenerated = signal("image_generated") +AutocompleteSuggestion = signal("autocomplete_suggestion") + handlers = { "system": SystemMessage, "narrator": NarratorMessage, @@ -63,4 +65,5 @@ handlers = { "config_saved": ConfigSaved, "status": StatusMessage, "image_generated": ImageGenerated, + "autocomplete_suggestion": AutocompleteSuggestion, } diff --git a/src/talemate/game/engine.py b/src/talemate/game/engine.py index 67255267..70252885 100644 --- a/src/talemate/game/engine.py +++ b/src/talemate/game/engine.py @@ -1,13 +1,14 @@ -import os -import importlib import asyncio -import nest_asyncio -import structlog -import pydantic +import importlib +import os from typing import TYPE_CHECKING, Coroutine + +import nest_asyncio +import pydantic +import structlog from RestrictedPython import compile_restricted, safe_globals -from RestrictedPython.Eval import default_guarded_getiter,default_guarded_getitem -from RestrictedPython.Guards import guarded_iter_unpack_sequence,safer_getattr +from RestrictedPython.Eval import default_guarded_getitem, default_guarded_getiter +from RestrictedPython.Guards import guarded_iter_unpack_sequence, safer_getattr if TYPE_CHECKING: from talemate.tale_mate import Scene @@ -20,9 +21,12 @@ nest_asyncio.apply() DEV_MODE = True -def compile_scene_module(module_code:str, **kwargs): + +def compile_scene_module(module_code: str, **kwargs): # Compile the module code using RestrictedPython - compiled_code = compile_restricted(module_code, filename='', mode='exec') + compiled_code = compile_restricted( + module_code, filename="", mode="exec" + ) # Create a restricted globals dictionary restricted_globals = safe_globals.copy() @@ -30,62 +34,64 @@ def compile_scene_module(module_code:str, **kwargs): # Add custom variables, functions, or objects to the restricted globals restricted_globals.update(kwargs) - restricted_globals['__name__'] = '__main__' - restricted_globals['__metaclass__'] = type - restricted_globals['_getiter_'] = default_guarded_getiter - restricted_globals['_getitem_'] = default_guarded_getitem - restricted_globals['_iter_unpack_sequence_'] = guarded_iter_unpack_sequence - restricted_globals['getattr'] = safer_getattr + restricted_globals["__name__"] = "__main__" + restricted_globals["__metaclass__"] = type + restricted_globals["_getiter_"] = default_guarded_getiter + restricted_globals["_getitem_"] = default_guarded_getitem + restricted_globals["_iter_unpack_sequence_"] = guarded_iter_unpack_sequence + restricted_globals["getattr"] = safer_getattr restricted_globals["_write_"] = lambda x: x restricted_globals["hasattr"] = hasattr - + # Execute the compiled code with the restricted globals exec(compiled_code, restricted_globals, safe_locals) return safe_locals.get("game") - + class GameInstructionsMixin: - """ Game instructions mixin for director agent. This allows Talemate scenarios to hook into the python api for more sophisticated gameplate mechanics and direct exposure to AI functionality. """ - + @property def scene_module_path(self): return os.path.join(self.scene.save_dir, "game.py") - + async def scene_has_instructions(self, scene: "Scene") -> bool: """Returns True if the scene has instructions.""" - return await self.scene_has_module(scene) or await self.scene_has_template_instructions(scene) - + return await self.scene_has_module( + scene + ) or await self.scene_has_template_instructions(scene) + async def run_scene_instructions(self, scene: "Scene"): """ runs the game/__init__.py of the scene """ - + if await self.scene_has_module(scene): await self.run_scene_module(scene) else: return await self.run_scene_template_instructions(scene) - + # SCENE TEMPLATE INSTRUCTIONS SUPPORT - + async def scene_has_template_instructions(self, scene: "Scene") -> bool: """Returns True if the scene has an instructions template.""" - instructions_template_path = os.path.join(scene.template_dir, "instructions.jinja2") + instructions_template_path = os.path.join( + scene.template_dir, "instructions.jinja2" + ) return os.path.exists(instructions_template_path) - + async def run_scene_template_instructions(self, scene: "Scene"): client = self.client game_state = scene.game_state - - + if not await self.scene_has_template_instructions(self.scene): return - + log.info("Running scene instructions from jinja2 template", scene=scene) with PrependTemplateDirectories([scene.template_dir]): prompt = Prompt.get( @@ -105,60 +111,59 @@ class GameInstructionsMixin: instructions=instructions, ) return instructions - + # SCENE PYTHON INSTRUCTIONS SUPPORT - - async def run_scene_module(self, scene:"Scene"): + + async def run_scene_module(self, scene: "Scene"): """ runs the game/__init__.py of the scene """ - + if not await self.scene_has_module(scene): return - + await self.load_scene_module(scene) - + log.info("Running scene instructions from python module", scene=scene) - + with OpenScopedContext(self.scene, self.client): with PrependTemplateDirectories(self.scene.template_dir): scene._module() - + if DEV_MODE: # delete the module so it can be reloaded # on the next run del scene._module - - async def load_scene_module(self, scene:"Scene"): + + async def load_scene_module(self, scene: "Scene"): """ loads the game.py of the scene """ - + if not await self.scene_has_module(scene): return - + if hasattr(scene, "_module"): log.warning("Scene already has a module loaded") return - + # file path to the game/__init__.py file of the scene module_path = self.scene_module_path - + # read thje file into _module property - + with open(module_path, "r") as f: module_code = f.read() scene._module = GameInstructionScope( - agent=self, + agent=self, log=log, - scene=scene, - module_function=compile_scene_module(module_code) + scene=scene, + module_function=compile_scene_module(module_code), ) - - - async def scene_has_module(self, scene:"Scene"): + + async def scene_has_module(self, scene: "Scene"): """ checks if the scene has a game.py """ - - return os.path.exists(self.scene_module_path) \ No newline at end of file + + return os.path.exists(self.scene_module_path) diff --git a/src/talemate/game/scope.py b/src/talemate/game/scope.py index 928930de..e0328289 100644 --- a/src/talemate/game/scope.py +++ b/src/talemate/game/scope.py @@ -1,17 +1,19 @@ -from typing import TYPE_CHECKING, Coroutine, Callable, Any import asyncio -import nest_asyncio import contextvars +from typing import TYPE_CHECKING, Any, Callable, Coroutine + +import nest_asyncio import structlog -from talemate.emit import emit -from talemate.client.base import ClientBase -from talemate.instance import get_agent, AGENTS + from talemate.agents.base import Agent +from talemate.client.base import ClientBase +from talemate.emit import emit +from talemate.instance import AGENTS, get_agent from talemate.prompts.base import Prompt if TYPE_CHECKING: - from talemate.tale_mate import Scene, Character from talemate.game.state import GameState + from talemate.tale_mate import Character, Scene __all__ = [ "OpenScopedContext", @@ -28,7 +30,8 @@ nest_asyncio.apply() log = structlog.get_logger("talemate.game.scope") -def run_async(coro:Coroutine): + +def run_async(coro: Coroutine): """ runs a coroutine """ @@ -37,155 +40,153 @@ def run_async(coro:Coroutine): class ScopedContext: - def __init__(self, scene:"Scene" = None, client:ClientBase = None): + def __init__(self, scene: "Scene" = None, client: ClientBase = None): self.scene = scene self.client = client - + + scoped_context = contextvars.ContextVar("scoped_context", default=ScopedContext()) class OpenScopedContext: - def __init__(self, scene:"Scene", client:ClientBase): + def __init__(self, scene: "Scene", client: ClientBase): self.scene = scene - self.context = ScopedContext( - scene = scene, - client = client - ) - + self.context = ScopedContext(scene=scene, client=client) + def __enter__(self): - self.token = scoped_context.set( - self.context - ) - + self.token = scoped_context.set(self.context) + def __exit__(self, *args): scoped_context.reset(self.token) - - + + class ObjectScope: - """ Defines a method for getting the scoped object """ - + exposed_properties = [] exposed_methods = [] - - def __init__(self, get_scoped_object:Callable): + + def __init__(self, get_scoped_object: Callable): self.scope_object(get_scoped_object) - - def __getattr__(self, name:str): + + def __getattr__(self, name: str): if name in self.scoped_properties: return self.scoped_properties[name]() - + return super().__getattr__(name) - - def scope_object(self, get_scoped_object:Callable): - + + def scope_object(self, get_scoped_object: Callable): + self.scoped_properties = {} - + for prop in self.exposed_properties: self.scope_property(prop, get_scoped_object) - + for method in self.exposed_methods: self.scope_method(method, get_scoped_object) - def scope_property(self, prop:str, get_scoped_object:Callable): + def scope_property(self, prop: str, get_scoped_object: Callable): self.scoped_properties[prop] = lambda: getattr(get_scoped_object(), prop) - - def scope_method(self, method:str, get_scoped_object:Callable): - + + def scope_method(self, method: str, get_scoped_object: Callable): + def fn(*args, **kwargs): _fn = getattr(get_scoped_object(), method) - + # if coroutine, run it in the event loop if asyncio.iscoroutinefunction(_fn): - rv = run_async( - _fn(*args, **kwargs) - ) + rv = run_async(_fn(*args, **kwargs)) elif callable(_fn): rv = _fn(*args, **kwargs) else: rv = _fn - + return rv - + fn.__name__ = method - #log.debug("Setting", self, method, "to", fn.__name__) + # log.debug("Setting", self, method, "to", fn.__name__) setattr(self, method, fn) class ClientScope(ObjectScope): - """ Wraps the client with certain exposed methods that can be used in game logic implementations through the scene's game.py file. - + Exposed: - + - send_prompt """ - - exposed_properties = [ - "send_prompt" - ] - + + exposed_properties = ["send_prompt"] + def __init__(self): super().__init__(lambda: scoped_context.get().client) - - def render_and_request(self, template_name:str, kind:str="create", dedupe_enabled:bool=True, **kwargs): - - """ + + def render_and_request( + self, + template_name: str, + kind: str = "create", + dedupe_enabled: bool = True, + **kwargs, + ): + """ Renders a prompt and sends it to the client """ prompt = Prompt.get(template_name, kwargs) prompt.client = scoped_context.get().client prompt.dedupe_enabled = dedupe_enabled return run_async(prompt.send(scoped_context.get().client, kind)) - + def query_text_eval(self, query: str, text: str): world_state = get_agent("world_state") query = f"{query} Answer with a yes or no." response = run_async( - world_state.analyze_text_and_answer_question(text=text, query=query, short=True) + world_state.analyze_text_and_answer_question( + text=text, query=query, short=True + ) ) return response.strip().lower().startswith("y") - + + class AgentScope(ObjectScope): - """ Wraps agent calls with certain exposed methods that can be used in game logic implementations - + Exposed: - + - action: calls an agent action - config: returns the agent's configuration """ - - def __init__(self, agent:Agent): - + + def __init__(self, agent: Agent): + self.exposed_properties = [ "sanitized_action_config", ] - + self.exposed_methods = [] - + # loop through all methods on agent and add them to the scope # if the function has `exposed` attribute set to True - + for key in dir(agent): value = getattr(agent, key) if callable(value) and hasattr(value, "exposed") and value.exposed: self.exposed_methods.append(key) - + # log.debug("AgentScope", agent=agent, exposed_properties=self.exposed_properties, exposed_methods=self.exposed_methods) - + super().__init__(lambda: agent) self.config = lambda: agent.sanitized_action_config - + + class GameStateScope(ObjectScope): - + exposed_methods = [ "set_var", "has_var", @@ -193,17 +194,17 @@ class GameStateScope(ObjectScope): "get_or_set_var", "unset_var", ] - + def __init__(self): super().__init__(lambda: scoped_context.get().scene.game_state) - -class LogScope: + +class LogScope: """ Wrapper for log calls """ - - def __init__(self, log:object): + + def __init__(self, log: object): self.info = log.info self.error = log.error self.debug = log.debug @@ -222,23 +223,28 @@ class CharacterScope(ObjectScope): "details", "is_player", ] - + exposed_methods = [ "update", "set_detail", "set_base_attribute", "rename", ] - + + class SceneScope(ObjectScope): - """ Wraps scene calls with certain exposed methods that can be used in game logic implementations - + """ - + + exposed_properties = [ + "name", + "title", + ] + exposed_methods = [ "context", "context_history", @@ -246,19 +252,20 @@ class SceneScope(ObjectScope): "npc_character_names", "restore", "set_content_context", + "set_title", ] - + def __init__(self): super().__init__(lambda: scoped_context.get().scene) - - def get_character(self, name:str) -> "CharacterScope": + + def get_character(self, name: str) -> "CharacterScope": """ returns a character by name """ character = scoped_context.get().scene.get_character(name) if character: return CharacterScope(lambda: character) - + def get_player_character(self) -> "CharacterScope": """ returns the player character @@ -266,30 +273,32 @@ class SceneScope(ObjectScope): character = scoped_context.get().scene.get_player_character() if character: return CharacterScope(lambda: character) - + def history(self): return [h for h in scoped_context.get().scene.history] + class GameInstructionScope: - - def __init__(self, agent:Agent, log:object, scene:"Scene", module_function:callable): + + def __init__( + self, agent: Agent, log: object, scene: "Scene", module_function: callable + ): self.game_state = GameStateScope() self.client = ClientScope() - self.agents = type('', (), {})() + self.agents = type("", (), {})() self.scene = SceneScope() self.wait = run_async self.log = LogScope(log) self.module_function = module_function - + for key, agent in AGENTS.items(): setattr(self.agents, key, AgentScope(agent)) - - + def __call__(self): self.module_function(self) - + def emit_status(self, status: str, message: str, **kwargs): if kwargs: emit("status", status=status, message=message, data=kwargs) else: - emit("status", status=status, message=message) \ No newline at end of file + emit("status", status=status, message=message) diff --git a/src/talemate/game/state.py b/src/talemate/game/state.py index de3f3478..fcdf4847 100644 --- a/src/talemate/game/state.py +++ b/src/talemate/game/state.py @@ -73,6 +73,6 @@ class GameState(pydantic.BaseModel): if not self.has_var(key): self.set_var(key, value, commit=commit) return self.get_var(key) - + def unset_var(self, key: str): - self.variables.pop(key, None) \ No newline at end of file + self.variables.pop(key, None) diff --git a/src/talemate/load.py b/src/talemate/load.py index 06c060eb..03865494 100644 --- a/src/talemate/load.py +++ b/src/talemate/load.py @@ -125,9 +125,9 @@ async def load_scene_from_character_card(scene, file_path): character.base_attributes = { k.lower(): v for k, v in character.base_attributes.items() } - - character.dialogue_instructions = await creator.determine_character_dialogue_instructions( - character + + character.dialogue_instructions = ( + await creator.determine_character_dialogue_instructions(character) ) # any values that are lists should be converted to strings joined by , @@ -181,6 +181,7 @@ async def load_scene_from_data( scene.experimental = scene_data.get("experimental", False) scene.help = scene_data.get("help", "") scene.restore_from = scene_data.get("restore_from", "") + scene.title = scene_data.get("title", "") # reset = True diff --git a/src/talemate/prompts/base.py b/src/talemate/prompts/base.py index f2be46a0..dd11fcac 100644 --- a/src/talemate/prompts/base.py +++ b/src/talemate/prompts/base.py @@ -14,7 +14,7 @@ import random import re import uuid from contextvars import ContextVar -from typing import Any +from typing import Any, Tuple import jinja2 import nest_asyncio @@ -34,8 +34,6 @@ from talemate.util import ( remove_extra_linebreaks, ) -from typing import Tuple - __all__ = [ "Prompt", "LoopedPrompt", @@ -273,10 +271,17 @@ class Prompt: return prompt @classmethod - async def request(cls, uid: str, client: Any, kind: str, vars: dict = None): + async def request( + cls, uid: str, client: Any, kind: str, vars: dict = None, **kwargs + ): if "decensor" not in vars: vars.update(decensor=client.decensor_enabled) prompt = cls.get(uid, vars) + + # kwargs update prompt class attributes + for key, value in kwargs.items(): + setattr(prompt, key, value) + return await prompt.send(client, kind) @property @@ -822,14 +827,9 @@ class Prompt: response = self.prepared_response.rstrip() + pad + response.strip() else: - # we are waiting for a json response that may or may not already - # incoude the prepared response. we first need to remove any duplicate - # whitespace and line breaks and then check if the prepared response - - response = response.replace("\n", " ") - response = re.sub(r"\s+", " ", response) - - if not response.lower().startswith(self.prepared_response.lower()): + # awaiting json response, if the response does not start with a { + # it means its likely a coerced response and we need to prepend the prepared response + if not response.lower().startswith("{"): pad = " " if self.pad_prepended_response else "" response = self.prepared_response.rstrip() + pad + response.strip() diff --git a/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2 b/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2 new file mode 100644 index 00000000..0505132e --- /dev/null +++ b/src/talemate/prompts/templates/creator/autocomplete-dialogue.jinja2 @@ -0,0 +1,25 @@ +{% block rendered_context -%} +<|SECTION:CONTEXT|> +{%- with memory_query=scene.snapshot() -%} + {% include "extra-context.jinja2" %} +{% endwith %} +<|CLOSE_SECTION|> +{% endblock -%} +<|SECTION:SCENE|> +{% for scene_context in scene.context_history(budget=min(2048, max_tokens-300-count_tokens(self.rendered_context())), min_dialogue=20, sections=False) -%} +{{ scene_context }} +{% endfor %} +<|CLOSE_SECTION|> +<|SECTION:TASK|> +Continue {{ character.name }}'s unfinished line in this screenplay. + +Your response MUST only be the new parts of the dialogue, not the entire line. + +Partial line: {{ character.name }}: {{ input }} +{% if not can_coerce -%} +Continuation: +<|CLOSE_SECTION|> +{%- else -%} +<|CLOSE_SECTION|> +{{ bot_token }}{{ input }} +{%- endif -%} \ No newline at end of file diff --git a/src/talemate/prompts/templates/creator/determine-character-dialogue-instructions.jinja2 b/src/talemate/prompts/templates/creator/determine-character-dialogue-instructions.jinja2 index 68b0e7ad..6b99a2c1 100644 --- a/src/talemate/prompts/templates/creator/determine-character-dialogue-instructions.jinja2 +++ b/src/talemate/prompts/templates/creator/determine-character-dialogue-instructions.jinja2 @@ -10,5 +10,6 @@ By default all actors are given the following instructions for their character(s Dialogue instructions: "Use an informal and colloquial register with a conversational tone. Overall, {{ character.name }}'s dialog is informal, conversational, natural, and spontaneous, with a sense of immediacy." However you can override this default instruction by providing your own instructions below. +Keep the format similar and stick to one paragraph. <|CLOSE_SECTION|> {{ bot_token }}Dialogue instructions: \ No newline at end of file diff --git a/src/talemate/prompts/templates/world_state/extract-character-sheet.jinja2 b/src/talemate/prompts/templates/world_state/extract-character-sheet.jinja2 index d7b9f2e1..9f924853 100644 --- a/src/talemate/prompts/templates/world_state/extract-character-sheet.jinja2 +++ b/src/talemate/prompts/templates/world_state/extract-character-sheet.jinja2 @@ -23,10 +23,10 @@ Treat updates as absolute, the new character sheet will replace the old one. Alteration instructions: {{ alteration_instructions }} {% endif %} -Narration style should be that of a 90s point and click adventure game. You are omniscient and can describe the scene in detail. - Use an informal and colloquial register with a conversational tone. Overall, the narrative is Informal, conversational, natural, and spontaneous, with a sense of immediacy. +You must only generate attributes for {{ name }}. You are omniscient and can describe the character in detail. + Example: Name: diff --git a/src/talemate/scene_message.py b/src/talemate/scene_message.py index 0be9c93c..e31b0d04 100644 --- a/src/talemate/scene_message.py +++ b/src/talemate/scene_message.py @@ -1,5 +1,6 @@ -from dataclasses import dataclass, field import re +from dataclasses import dataclass, field + import isodate _message_id = 0 @@ -32,7 +33,7 @@ class SceneMessage: source: str = "" hidden: bool = False - + typ = "scene" def __str__(self): @@ -138,7 +139,7 @@ class NarratorMessage(SceneMessage): class DirectorMessage(SceneMessage): action: str = "actor_instruction" typ = "director" - + @property def transformed_message(self): return self.message.replace("Director instructs ", "") @@ -148,51 +149,58 @@ class DirectorMessage(SceneMessage): if self.action == "actor_instruction": return self.transformed_message.split(":", 1)[0] return "" - + @property def dialogue(self): if self.action == "actor_instruction": return self.transformed_message.split(":", 1)[1] return self.message - + @property def instructions(self): if self.action == "actor_instruction": - return self.dialogue.replace('"','').replace("To progress the scene, i want you to ", "").strip() + return ( + self.dialogue.replace('"', "") + .replace("To progress the scene, i want you to ", "") + .strip() + ) return self.message @property def as_inner_monologue(self): - + # instructions may be written referencing the character as you, your etc., # so we need to replace those to fit a first person perspective - + # first we lowercase instructions = self.instructions.lower() - + + if not self.character_name: + return instructions + # then we replace yourself with myself using regex, taking care of word boundaries instructions = re.sub(r"\byourself\b", "myself", instructions) - + # then we replace your with my using regex, taking care of word boundaries instructions = re.sub(r"\byour\b", "my", instructions) - + # then we replace you with i using regex, taking care of word boundaries instructions = re.sub(r"\byou\b", "i", instructions) return f"{self.character_name} thinks: I should {instructions}" - + @property def as_story_progression(self): return f"{self.character_name}'s next action: {self.instructions}" def __dict__(self): rv = super().__dict__() - + if self.action: rv["action"] = self.action - + return rv - + def __str__(self): """ The director message is a special case and needs to be transformed @@ -212,6 +220,7 @@ class DirectorMessage(SceneMessage): else: return f"# {self.as_story_progression}" + @dataclass class TimePassageMessage(SceneMessage): ts: str = "PT0S" @@ -238,7 +247,9 @@ class ReinforcementMessage(SceneMessage): def __str__(self): question, _ = self.source.split(":", 1) - return f"# Internal notes for {self.character_name} - {question}: {self.message}" + return ( + f"# Internal notes for {self.character_name} - {question}: {self.message}" + ) def as_format(self, format: str, **kwargs) -> str: if format == "movie_script": diff --git a/src/talemate/server/websocket_server.py b/src/talemate/server/websocket_server.py index ba90e7f9..db063a54 100644 --- a/src/talemate/server/websocket_server.py +++ b/src/talemate/server/websocket_server.py @@ -389,7 +389,7 @@ class WebsocketHandler(Receiver): character = emission.message_object.source else: character = "" - + director = instance.get_agent("director") direction_mode = director.actor_direction_mode @@ -541,6 +541,14 @@ class WebsocketHandler(Receiver): } ) + def handle_autocomplete_suggestion(self, emission: Emission): + self.queue_put( + { + "type": "autocomplete_suggestion", + "message": emission.message, + } + ) + def handle_audio_queue(self, emission: Emission): self.queue_put( { diff --git a/src/talemate/tale_mate.py b/src/talemate/tale_mate.py index 4d5cffe1..c3cc5216 100644 --- a/src/talemate/tale_mate.py +++ b/src/talemate/tale_mate.py @@ -265,12 +265,12 @@ class Character: orig_name = self.name self.name = new_name - + if orig_name.lower() == "you": # we dont want to replace "you" in the description # or anywhere else so we can just return here - return - + return + if self.description: self.description = self.description.replace(f"{orig_name}", self.name) for k, v in self.base_attributes.items(): @@ -756,6 +756,7 @@ class Scene(Emitter): self.static_tokens = 0 self.max_tokens = 2048 self.next_actor = None + self.title = "" self.experimental = False self.help = "" @@ -898,7 +899,13 @@ class Scene(Emitter): def set_intro(self, intro: str): self.intro = intro - + + def set_name(self, name: str): + self.name = name + + def set_title(self, title: str): + self.title = title + def set_content_context(self, content_context: str): self.context = content_context @@ -1367,13 +1374,21 @@ class Scene(Emitter): if isinstance(message, DirectorMessage): if not keep_director: continue + + if not message.character_name: + # skip director messages that are not character specific + # TODO: we may want to include these in the future + continue + elif isinstance(keep_director, str) and message.source != keep_director: continue if count_tokens(parts_dialogue) + count_tokens(message) > budget_dialogue: break - parts_dialogue.insert(0, message.as_format(conversation_format, mode=actor_direction_mode)) + parts_dialogue.insert( + 0, message.as_format(conversation_format, mode=actor_direction_mode) + ) # collect context, ignore where end > len(history) - count @@ -1599,6 +1614,7 @@ class Scene(Emitter): self.name, status="started", data={ + "title": self.title or self.name, "environment": self.environment, "scene_config": self.scene_config, "player_character_name": ( diff --git a/src/talemate/util/__init__.py b/src/talemate/util/__init__.py index 823d3b72..3c6b55dd 100644 --- a/src/talemate/util/__init__.py +++ b/src/talemate/util/__init__.py @@ -890,10 +890,10 @@ def ensure_dialog_format(line: str, talking_character: str = None) -> str: line = line[len(talking_character) + 1 :].lstrip() lines = [] - + has_asterisks = "*" in line has_quotes = '"' in line - + default_wrap = None if has_asterisks and not has_quotes: default_wrap = '"' @@ -925,7 +925,7 @@ def ensure_dialog_format(line: str, talking_character: str = None) -> str: return line -def ensure_dialog_line_format(line: str, default_wrap:str=None) -> str: +def ensure_dialog_line_format(line: str, default_wrap: str = None) -> str: """ a Python function that standardizes the formatting of dialogue and action/thought descriptions in text strings. This function is intended for use in a text-based @@ -944,13 +944,13 @@ def ensure_dialog_line_format(line: str, default_wrap:str=None) -> str: line = line.strip() line = line.replace('"*', '"').replace('*"', '"') - + # if the line ends with a whitespace followed by a classifier, strip both from the end # as this indicates the remnants of a partial segment that was removed. - + if line.endswith(" *") or line.endswith(' "'): line = line[:-2] - + if "*" not in line and '"' not in line and default_wrap and line: # if the line is not wrapped in either asterisks or quotes, wrap it in the default # wrap, if specified - when it's specialized it means the line was split and we @@ -997,9 +997,9 @@ def ensure_dialog_line_format(line: str, default_wrap:str=None) -> str: else: if segment_open is None and c and c != " ": if last_classifier == '"': - segment_open = '*' + segment_open = "*" segment = f"{segment_open}{c}" - elif last_classifier == '*': + elif last_classifier == "*": segment_open = '"' segment = f"{segment_open}{c}" else: diff --git a/start-local.bat b/start-local.bat new file mode 100644 index 00000000..d8d0a3bc --- /dev/null +++ b/start-local.bat @@ -0,0 +1,2 @@ +start cmd /k "cd talemate_frontend && npm run serve -- --host 127.0.0.1 --port 8080" +start cmd /k "cd talemate_env\Scripts && activate && cd ../../ && python src\talemate\server\run.py runserver --host 127.0.0.1 --port 5050" \ No newline at end of file diff --git a/talemate_frontend/package-lock.json b/talemate_frontend/package-lock.json index 96da37a3..71a59d3f 100644 --- a/talemate_frontend/package-lock.json +++ b/talemate_frontend/package-lock.json @@ -1,12 +1,12 @@ { "name": "talemate_frontend", - "version": "0.22.0", + "version": "0.23.0", "lockfileVersion": 2, "requires": true, "packages": { "": { "name": "talemate_frontend", - "version": "0.22.0", + "version": "0.23.0", "dependencies": { "@mdi/font": "7.4.47", "core-js": "^3.8.3", diff --git a/talemate_frontend/package.json b/talemate_frontend/package.json index 3e531deb..3a4dcf23 100644 --- a/talemate_frontend/package.json +++ b/talemate_frontend/package.json @@ -1,6 +1,6 @@ { "name": "talemate_frontend", - "version": "0.22.0", + "version": "0.23.0", "private": true, "scripts": { "serve": "vue-cli-service serve", diff --git a/talemate_frontend/src/components/AppConfig.vue b/talemate_frontend/src/components/AppConfig.vue index 2a9823da..bcd5e643 100644 --- a/talemate_frontend/src/components/AppConfig.vue +++ b/talemate_frontend/src/components/AppConfig.vue @@ -157,6 +157,23 @@ + +
+ + Cohere +
+ Configure your Cohere API key here. You can get one from https://dashboard.cohere.com/api-keys +
+ + + + + + + +
+
@@ -279,6 +296,7 @@ export default { {title: 'OpenAI', icon: 'mdi-api', value: 'openai_api'}, {title: 'mistral.ai', icon: 'mdi-api', value: 'mistralai_api'}, {title: 'Anthropic', icon: 'mdi-api', value: 'anthropic_api'}, + {title: 'Cohere', icon: 'mdi-api', value: 'cohere_api'}, {title: 'ElevenLabs', icon: 'mdi-api', value: 'elevenlabs_api'}, {title: 'RunPod', icon: 'mdi-api', value: 'runpod_api'}, ], diff --git a/talemate_frontend/src/components/ClientModal.vue b/talemate_frontend/src/components/ClientModal.vue index 173a4e8d..f9853d79 100644 --- a/talemate_frontend/src/components/ClientModal.vue +++ b/talemate_frontend/src/components/ClientModal.vue @@ -51,7 +51,7 @@
No matching LLM prompt template found. Using default.
- 
{{ client.data.prompt_template_example }}
+
{{ client.data.prompt_template_example }}
 Determine via HuggingFace @@ -250,4 +250,13 @@ export default { this.registerMessageHandler(this.handleMessage); }, } - \ No newline at end of file + + \ No newline at end of file diff --git a/talemate_frontend/src/components/SceneMessages.vue b/talemate_frontend/src/components/SceneMessages.vue index 886d86fe..29be7e62 100644 --- a/talemate_frontend/src/components/SceneMessages.vue +++ b/talemate_frontend/src/components/SceneMessages.vue @@ -140,6 +140,16 @@ export default { this.setWaitingForInput(false); }, + messageTypeIsSceneMessage(type) { + return ![ + 'request_input', + 'client_status', + 'agent_status', + 'status', + 'autocomplete_suggestion' + ].includes(type); + }, + handleMessage(data) { var i; @@ -198,7 +208,7 @@ export default { action: data.action } ); - } else if (data.type != 'request_input' && data.type != 'client_status' && data.type != 'agent_status' && data.type != 'status') { + } else if (this.messageTypeIsSceneMessage(data.type)) { this.messages.push({ id: data.id, type: data.type, text: data.message, color: data.color, character: data.character, status:data.status, ts:data.ts }); // Add color property to the message } else if (data.type === 'status' && data.data && data.data.as_scene_message === true) { diff --git a/talemate_frontend/src/components/SceneTools.vue b/talemate_frontend/src/components/SceneTools.vue index 4e6b4da6..335c0941 100644 --- a/talemate_frontend/src/components/SceneTools.vue +++ b/talemate_frontend/src/components/SceneTools.vue @@ -50,6 +50,15 @@ mdi-keyboard mdi-circle-outline + + + + + @@ -372,6 +381,7 @@ export default { inactiveCharacters: Array, activeCharacters: Array, playerCharacterName: String, + messageInput: String, }, computed: { deactivatableCharacters: function() { @@ -667,6 +677,10 @@ export default { this.sendHotButtonMessage(command) }, + requestAutocompleteSuggestion() { + this.getWebsocket().send(JSON.stringify({ type: 'interact', text: `!acdlg:${this.messageInput}` })); + }, + handleMessage(data) { if (data.type === "command_status") { diff --git a/talemate_frontend/src/components/TalemateApp.vue b/talemate_frontend/src/components/TalemateApp.vue index 187d98cf..5af342b2 100644 --- a/talemate_frontend/src/components/TalemateApp.vue +++ b/talemate_frontend/src/components/TalemateApp.vue @@ -86,9 +86,13 @@ - mdi-script + + mdi-arrow-collapse-left + mdi-arrow-collapse-right + + - {{ scene.name || 'Untitled Scenario' }} + {{ scene.title || 'Untitled Scenario' }} * mdi-palette-outlineCreative Mode @@ -107,6 +111,9 @@ Talemate + + mdi-home + mdi-bug mdi-cog @@ -125,6 +132,7 @@ <|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ system_message }} +{{ user_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{ coercion_message }} \ No newline at end of file diff --git a/templates/llm-prompt/std/CommandRPlus.jinja2 b/templates/llm-prompt/std/CommandRPlus.jinja2 new file mode 100644 index 00000000..23e1683f --- /dev/null +++ b/templates/llm-prompt/std/CommandRPlus.jinja2 @@ -0,0 +1 @@ +<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ system_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ user_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{ coercion_message }} \ No newline at end of file diff --git a/templates/llm-prompt/std/Llama3.jinja2 b/templates/llm-prompt/std/Llama3.jinja2 new file mode 100644 index 00000000..5f0c3387 --- /dev/null +++ b/templates/llm-prompt/std/Llama3.jinja2 @@ -0,0 +1,7 @@ +<|begin_of_text|><|start_header_id|>system<|end_header_id|> + +{{ system_message }}<|eot_id|><|start_header_id|>user<|end_header_id|> + +{{ user_message }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + +{{ coercion_message }} \ No newline at end of file diff --git a/templates/llm-prompt/talemate/Llama-3.jinja2 b/templates/llm-prompt/talemate/Llama-3.jinja2 new file mode 100644 index 00000000..5f0c3387 --- /dev/null +++ b/templates/llm-prompt/talemate/Llama-3.jinja2 @@ -0,0 +1,7 @@ +<|begin_of_text|><|start_header_id|>system<|end_header_id|> + +{{ system_message }}<|eot_id|><|start_header_id|>user<|end_header_id|> + +{{ user_message }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> + +{{ coercion_message }} \ No newline at end of file diff --git a/templates/llm-prompt/talemate/c4ai-command-r-plus.jinja2 b/templates/llm-prompt/talemate/c4ai-command-r-plus.jinja2 new file mode 100644 index 00000000..23e1683f --- /dev/null +++ b/templates/llm-prompt/talemate/c4ai-command-r-plus.jinja2 @@ -0,0 +1 @@ +<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ system_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ user_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{ coercion_message }} \ No newline at end of file diff --git a/templates/llm-prompt/talemate/c4ai-command.jinja2 b/templates/llm-prompt/talemate/c4ai-command.jinja2 new file mode 100644 index 00000000..022bd85b --- /dev/null +++ b/templates/llm-prompt/talemate/c4ai-command.jinja2 @@ -0,0 +1,2 @@ +<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ system_message }} +{{ user_message }}<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{{ coercion_message }} \ No newline at end of file