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118ce3cc91
* feat(proxy): add model leaderboard analytics * feat: add model insights task and range constants * feat: record task type from task tags in model usage rollup * feat: serve 365 days of model insights by UTC date * test: cover task tag resolution in model usage rollup * test: update model insights range limit test to 365 days * chore: regenerate dashboard api types for model insights * feat: add model insights aggregation helpers * test: cover model insights aggregation helpers * feat: redesign model leaderboard with stacked bars, treemap and ranking * test: update model leaderboard view test * feat: mark model leaderboard as beta in sidebar * chore: sync schema.prisma copies from root * fix: only treat task: prefixed tags as model insight tasks * feat: add metric type for model insights ranking * fix: rank model insights by selected metric and scope detail queries to ranked deployments * test: plain tags are not model insight tasks * test: cover metric ranking, deployment scoping and rollup round trip * fix: build model insights weeks and halves from the requested date range * test: cover empty weeks and range-based change comparison * fix: refetch by metric, show load errors and ignore stale responses * test: cover metric refetch and error state * feat: define model insight tasks in a JSON file * feat: return task labels and categories from model insights * feat: load model insight tasks from JSON * refactor: validate rollup task tags against the JSON task list * feat: serve the task list with model insights * refactor: drop hardcoded task list from constants * build: ship model insight tasks JSON in the wheel * test: cover model insight task JSON * refactor: take task labels and categories from the API * test: pass task info to task tile builder * refactor: color treemap by API-provided category * test: include tasks in model leaderboard fixture * fix: make daily model usage migration idempotent * feat: bound the model insights task query size * fix: compute task breakdown independent of the chart metric * test: task breakdown is stable across chart metrics * chore: regenerate lazy openapi snapshot for model insights * chore: regenerate dashboard api types for model insights * fix: keep previous ranking dimmed while a new metric loads * test: cover stale metric state in model leaderboard * refactor: drop task row cap constant * fix: return the full task breakdown instead of a truncated one * test: task query is not truncated * feat: add task summary types for model insights * feat: summarise tasks server-side on a separate model insights endpoint * test: cover the model insights tasks endpoint * chore: regenerate lazy openapi snapshot for model insights tasks * chore: regenerate dashboard api types for model insights tasks * refactor: drop client-side task aggregation * test: remove client-side task aggregation tests * feat: load task breakdown separately from the chart metric * test: task breakdown is not refetched on chart metric change --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> |
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| .. | ||
| _experimental | ||
| a2a | ||
| agent_endpoints | ||
| analytics_endpoints | ||
| anthropic_endpoints | ||
| auth | ||
| batches_endpoints | ||
| client | ||
| common_utils | ||
| config_management_endpoints | ||
| config_resolvers | ||
| container_endpoints | ||
| credential_endpoints | ||
| custom_hooks | ||
| db | ||
| discovery_endpoints | ||
| enterprise_billing | ||
| example_config_yaml | ||
| fine_tuning_endpoints | ||
| google_endpoints | ||
| guardrails | ||
| health_check_utils | ||
| health_endpoints | ||
| hooks | ||
| image_endpoints | ||
| list_api | ||
| logging_endpoints | ||
| management_endpoints | ||
| management_helpers | ||
| memory | ||
| middleware | ||
| ocr_endpoints | ||
| openai_evals_endpoints | ||
| openai_files_endpoints | ||
| pass_through_endpoints | ||
| policy_engine | ||
| prompts | ||
| public_endpoints | ||
| rag_endpoints | ||
| realtime_endpoints | ||
| rerank_endpoints | ||
| response_api_endpoints | ||
| response_polling | ||
| search_endpoints | ||
| shutdown | ||
| spend_tracking | ||
| swagger | ||
| test_prompts | ||
| types_utils | ||
| ui_crud_endpoints | ||
| vector_store_endpoints | ||
| vector_store_files_endpoints | ||
| vertex_ai_endpoints | ||
| video_endpoints | ||
| workflows | ||
| .gitignore | ||
| __init__.py | ||
| _lazy_features.py | ||
| _lazy_openapi_snapshot.json | ||
| _lazy_openapi_snapshot.py | ||
| _new_new_secret_config.yaml | ||
| _new_secret_config.yaml | ||
| _super_secret_config.yaml | ||
| _types.py | ||
| bug_report_config.py | ||
| cached_logo.jpg | ||
| caching_routes.py | ||
| collector.py | ||
| common_request_processing.py | ||
| compliance_checks.py | ||
| custom_auth_auto.py | ||
| custom_prompt_management.py | ||
| custom_sso.py | ||
| custom_validate.py | ||
| dd_span_tagger.py | ||
| dev_config.yaml | ||
| enterprise | ||
| health_check.py | ||
| lambda.py | ||
| litellm_pre_call_utils.py | ||
| llamaguard_prompt.txt | ||
| logo.jpg | ||
| logo_dark.png | ||
| mcp_registry.json | ||
| mcp_tools.py | ||
| model_config.yaml | ||
| model_insights_tasks.json | ||
| native_compaction.py | ||
| openapi.json | ||
| openapi_registry.json | ||
| plugin_routes.py | ||
| post_call_rules.py | ||
| prisma_migration.py | ||
| prometheus_cleanup.py | ||
| prometheus_metrics_server.py | ||
| proxy_cli.py | ||
| proxy_config.yaml | ||
| proxy_server.py | ||
| read_model_list.py | ||
| README.md | ||
| route_llm_request.py | ||
| route_priority.py | ||
| schema.prisma | ||
| start.sh | ||
| utils.py | ||
| wildcard_config.yaml | ||
litellm-proxy
A local, fast, and lightweight OpenAI-compatible server to call 100+ LLM APIs.
usage
$ uv tool install litellm
$ litellm --model ollama/codellama
#INFO: Ollama running on http://0.0.0.0:8000
replace openai base
import openai # openai v1.0.0+
client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:8000") # set proxy to base_url
# request sent to model set on litellm proxy, `litellm --model`
response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
{
"role": "user",
"content": "this is a test request, write a short poem"
}
])
print(response)
See how to call Huggingface,Bedrock,TogetherAI,Anthropic, etc.
Folder Structure
Routes
proxy_server.py- all openai-compatible routes -/v1/chat/completion,/v1/embedding+ model info routes -/v1/models,/v1/model/info,/v1/model_group_inforoutes.health_endpoints/-/health,/health/liveliness,/health/readinessmanagement_endpoints/key_management_endpoints.py- all/key/*routesmanagement_endpoints/team_endpoints.py- all/team/*routesmanagement_endpoints/internal_user_endpoints.py- all/user/*routesmanagement_endpoints/ui_sso.py- all/sso/*routes