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Commit f2a9f00f authored by Kaifmohd's avatar Kaifmohd
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LLM-ASYST

parents
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local_gemma</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-ChatAIChoice-2" data-look="classic" transform="translate(375.4375, 245)"><rect class="basic label-container" style="" x="-115.1171875" y="-39" width="230.234375" height="78"/><g class="label" style="" transform="translate(-85.1171875, -24)"><rect/><foreignObject width="170.234375" height="48"><div xmlns="http://www.w3.org/1999/xhtml" style="display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;"><span class="nodeLabel"><p>Academic Cloud Chat AI<br />llm_profile chat_ai</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-OpenAICustom-3" data-look="classic" transform="translate(375.4375, 373)"><rect class="basic label-container" style="" x="-125.625" y="-39" width="251.25" height="78"/><g class="label" style="" transform="translate(-95.625, -24)"><rect/><foreignObject width="191.25" height="48"><div xmlns="http://www.w3.org/1999/xhtml" style="display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;"><span class="nodeLabel"><p>Use my OpenAI key<br />llm_profile openai_custom</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-BackendProfile-4" data-look="classic" transform="translate(670.046875, 245)"><rect class="basic label-container" style="" x="-118.984375" y="-39" width="237.96875" height="78"/><g class="label" style="" transform="translate(-88.984375, -24)"><rect/><foreignObject width="177.96875" height="48"><div xmlns="http://www.w3.org/1999/xhtml" style="display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;"><span class="nodeLabel"><p>Backend profile mapping<br />services/llm/profiles.py</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-OpenAICompat-5" data-look="classic" transform="translate(969.03125, 245)"><rect 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CUDA Docker<br />local-llm service</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-HostOverride-7" data-look="classic" transform="translate(1279.03125, 175)"><rect class="basic label-container" style="" x="-102.3359375" y="-39" width="204.671875" height="78"/><g class="label" style="" transform="translate(-72.3359375, -24)"><rect/><foreignObject width="144.671875" height="48"><div xmlns="http://www.w3.org/1999/xhtml" style="display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;"><span class="nodeLabel"><p>Host LLM override<br />host.docker.internal</p></span></div></foreignObject></g></g><g class="node default" id="my-svg-flowchart-GWDG-8" data-look="classic" transform="translate(1279.03125, 315)"><rect class="basic label-container" style="" x="-130" y="-51" width="260" height="102"/><g class="label" style="" transform="translate(-100, -36)"><rect/><foreignObject width="200" height="72"><div 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\ No newline at end of file
docker-compose.cuda.yml 0 → 100644
View file @ f2a9f00f
services:
local-llm:
image: ${LLAMA_CPP_CUDA_IMAGE:-ghcr.io/ggml-org/llama.cpp:server-cuda}
gpus:
- driver: nvidia
count: all
capabilities:
- gpu
environment:
NVIDIA_VISIBLE_DEVICES: all
NVIDIA_DRIVER_CAPABILITIES: compute,utility
command:
- -m
- /models/gemma-4-E4B-it-Q4_K_M.gguf
- --host
- 0.0.0.0
- --port
- "8080"
- -c
- "4096"
- -np
- "1"
- -ngl
- "99"
docker-compose.host-llm.yml 0 → 100644
View file @ f2a9f00f
services:
backend:
environment:
LLM_BASE_URL: ${HOST_LLM_BASE_URL:-http://host.docker.internal:8080/v1}
LOCAL_LLM_BASE_URL: ${HOST_LLM_BASE_URL:-http://host.docker.internal:8080/v1}
LOCAL_LLM_MODEL: ${HOST_LLM_MODEL:-gemma-4-E4B-it-Q4_K_M.gguf}
LLM_MODEL: ${HOST_LLM_MODEL:-gemma-4-E4B-it-Q4_K_M.gguf}
local-llm:
image: busybox:1.36
command:
- sh
- -c
- while true; do sleep 3600; done
ports: []
volumes: []
docker-compose.yml 0 → 100644
View file @ f2a9f00f
services:
backend:
build:
context: ./asyst-backend
ports:
- "8000:8000"
environment:
CORS_ORIGINS: http://localhost:5173,http://127.0.0.1:5173
DATABASE_URL: sqlite:////data/asyst.db
UPLOAD_DIR: /data/uploads
LLM_PROVIDER: openai_compatible
LLM_BASE_URL: http://local-llm:8080/v1
LLM_MODEL: gemma-4-E4B-it-GGUF
LLM_PROMPT_STRATEGY: p1_reference_zero_shot
LLM_MAX_TOKENS: "1024"
LLM_TEMPERATURE: "0"
LLM_TIMEOUT_SECONDS: "180"
LLM_RETRY_MAX_ATTEMPTS: "60"
LLM_RETRY_INITIAL_SECONDS: "5"
LLM_RETRY_MAX_SECONDS: "5"
LLM_REQUESTS_PER_MINUTE: "10"
LLM_API_KEY: local-not-required
LOCAL_LLM_BASE_URL: http://local-llm:8080/v1
LOCAL_LLM_MODEL: gemma-4-E4B-it-GGUF
LOCAL_LLM_API_KEY: local-not-required
CHAT_AI_BASE_URL: https://chat-ai.academiccloud.de/v1
CHAT_AI_MODEL: gemma-4-31b-it
CHAT_AI_API_KEY: ${CHAT_AI_API_KEY:-}
volumes:
- asyst-backend-data:/data
depends_on:
- local-llm
frontend:
build:
context: ./asyst-ui
ports:
- "5173:5173"
environment:
VITE_API_BASE_URL: http://localhost:8000
depends_on:
- backend
local-llm:
image: ghcr.io/ggml-org/llama.cpp:server
ports:
- "8080:8080"
volumes:
- ${LOCAL_LLM_MODEL_DIR:-./models}:/models:ro
command:
- -m
- /models/gemma-4-E4B-it-Q4_K_M.gguf
- --host
- 0.0.0.0
- --port
- "8080"
- -c
- "4096"
- -np
- "1"
- -ngl
- "0"
volumes:
asyst-backend-data:
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