Różne notatki. Prace w trakcie.
aiohappyeyeballs==2.7.1 aiohttp==3.14.3 aiosignal==1.4.0 annotated-doc==0.0.5 annotated-types==0.8.0 anyio==4.15.1 APScheduler==3.11.3 attrs==26.1.0 azure-core==1.41.0 azure-identity==1.25.3 azure-storage-blob==12.30.1 backoff==2.2.1 boto3==1.43.89 botocore==1.43.89 certifi==2026.7.22 cffi==2.1.1 charset-normalizer==3.5.1 click==8.5.0 croniter==6.2.4 cryptography==50.0.1 distro==1.9.0 dnspython==2.8.0 email-validator==2.3.0 Expression==5.7.0 fastapi==0.141.1 fastapi-sso==0.22.0 fastuuid==0.14.0 filelock==3.32.5 frozenlist==1.8.0 fsspec==2026.7.0 granian==2.8.2 gunicorn==23.0.0 h11==0.16.0 hf-xet==1.6.0 hiredis==3.4.1 httpcore==1.0.9 httpx==0.28.1 httpx-sse==0.4.3 huggingface_hub==1.30.0 idna==3.19 importlib_metadata==8.9.0 inquirerpy==0.3.4 isodate==0.7.2 Jinja2==3.1.6 jiter==0.16.0 jmespath==1.1.0 jsonschema==4.26.0 jsonschema-specifications==2025.9.1 litellm==1.99.0 litellm-enterprise==0.1.59 litellm-proxy-extras==0.4.89 markdown-it-py==4.2.0 MarkupSafe==3.0.3 mcp==1.29.1 mdurl==0.1.2 msal==1.38.0 msal-extensions==1.3.1 multidict==6.7.1 nodeenv==1.10.0 numpy==2.5.2 oauthlib==3.3.1 openai==2.54.0 orjson==3.12.0 packaging==26.3 pfzy==0.3.4 polars==1.44.1 polars-runtime-32==1.44.1 prisma==0.13.0 prompt_toolkit==3.0.53 propcache==0.5.2 pycparser==3.0 pydantic==2.13.5 pydantic-settings==2.15.0 pydantic_core==2.46.5 Pygments==2.21.0 PyJWT==2.13.0 PyNaCl==1.6.2 pyroscope-io==0.8.16 python-dateutil==2.9.0.post0 python-dotenv==1.2.3 python-multipart==0.0.32 PyYAML==6.0.3 redis==8.1.0 referencing==0.37.0 regex==2026.9.3 requests==2.34.2 RestrictedPython==8.5 rich==13.9.4 rpds-py==2026.6.3 rq==2.12.0 s3transfer==0.19.2 six==1.17.0 sniffio==1.3.1 soundfile==0.14.0 sse-starlette==3.4.11 starlette==1.6.0 tiktoken==0.14.0 tokenizers==0.23.2 tomlkit==0.15.1 tqdm==4.70.0 typing-inspection==0.4.4 typing_extensions==4.16.0 tzlocal==5.4.4 urllib3==2.7.0 uvicorn==0.52.4 uvloop==0.22.1 wcwidth==0.8.3 websockets==15.0.1 yarl==1.24.5 zipp==4.1.0
model_list:
- model_name: granite
litellm_params:
model: ollama/granite4.2:8b
api_base: http://si.local:11434
allow_client_keepalive_override: true
temperature: 0.6
- model_name: gemma
litellm_params:
model: ollama/gemma4:12b
api_base: http://si.local:11434
allow_client_keepalive_override: true
temperature: 0.8
- model_name: qwen
litellm_params:
model: ollama/qwen3.5:9b
api_base: http://si.local:11434
allow_client_keepalive_override: true
temperature: 0.8
- model_name: bielik
litellm_params:
model: ollama/bielik-11b:Q5_K_M
api_base: http://si.local:11434
allow_client_keepalive_override: true
temperature: 0.8
router_settings:
routing_strategy: latency-based-routing
num_retries: 2
timeout: 601
fallbacks:
- granite: ["qwen"]
- bielik: ["gemma"]
general_settings:
master_key: admin
###disable_env_credential_login: true
###store_model_in_db: true
store_prompts_in_spend_logs: true
database_url: "postgresql://rola:haslo@host:5432/bazadanych"
# \c litellm You are now connected to database "litellm" as user "postgres". # grant all ON database litellm to litellm; # grant CONNECT on database litellm to litellm; # GRANT ALL PRIVILEGES ON SCHEMA public TO litellm; # ALTER ROLE "litellm" WITH LOGIN;
Będąc w katalogu z venv.
prisma generate --schema lib/python3.12/site-packages/litellm/proxy/schema.prisma
litellm --config litellm_config.yaml --port 4040
Można się zalogować jako użytkownik admin z hasłem admin na stronie http://127.0.0.1:4040/ui/login/ . Potem na stronie http://127.0.0.1:4040/ui/api-keys/ można wyklikać klucz API, powiązać go z modelami, grupami i użytkownikami.
Uruchomienie AiderAI bez połączenia z Ollama, ale z połączeniem do LiteLLM.
AIDER_ANALYTICS_DISABLE=true AIDER_CHECK_UPDATE=false AIDER_YES_ALWAYS=true AIDER_DARK_MODE=true AIDER_SHOW_MODEL_WARNINGS=false AIDER_MAP_TOKENS=1024 LITELLM_PROXY_API_BASE=http://127.0.0.1:4040 LITELLM_PROXY_API_KEY=sk-[token_w_litellm] aider --model=litellm_proxy/granite
Plik konfiguracyjny ~/.config/shell_gpt/.sgptrc komunikujący klienta z LiteLLM.
CHAT_CACHE_PATH=/tmp/chat_cache CACHE_PATH=/tmp/cache CHAT_CACHE_LENGTH=100 CACHE_LENGTH=100 REQUEST_TIMEOUT=60 DEFAULT_MODEL=gemma DEFAULT_COLOR=magenta ROLE_STORAGE_PATH=/home/[uzytkownik]/.config/shell_gpt/roles DEFAULT_EXECUTE_SHELL_CMD=false DISABLE_STREAMING=false CODE_THEME=dracula OPENAI_FUNCTIONS_PATH=/home/[uzytkownik]/.config/shell_gpt/functions OPENAI_USE_FUNCTIONS=false SHOW_FUNCTIONS_OUTPUT=false API_BASE_URL=http://127.0.0.1:4040 PRETTIFY_MARKDOWN=true USE_LITELLM=false SHELL_INTERACTION=true OS_NAME=auto SHELL_NAME=auto OPENAI_API_KEY=sk-[klucz w LiteLLM]
Działa to tak:
((sgpt) ) [[uzytkownk]@[host] sgpt]$ sgpt 'Which user am I?'
To determine which user you are currently logged in as on your CentOS Stream 10 system, you can use the following command in your bash shell:
whoami
Alternatively, you can check the USER environment variable:
echo $USER
These commands will return the username of the current session. If you are running with elevated privileges (e.g., via sudo), whoami will show the effective user identity.