Adds `litellm --setup` — a Claude Code-style TUI onboarding wizard that
guides users through provider selection, API key entry, and proxy config
generation, then optionally starts the proxy immediately.
- litellm/setup_wizard.py: wizard with ASCII art, numbered provider menu
(OpenAI, Anthropic, Azure, Gemini, Bedrock, Ollama), API key prompts,
port/master-key config, and litellm_config.yaml generation
- litellm/proxy/proxy_cli.py: adds --setup flag that invokes the wizard
- scripts/install.sh: curl-installable script (detect OS/Python, pip
install litellm[proxy], launch wizard)
Usage:
curl -fsSL https://raw.githubusercontent.com/BerriAI/litellm/main/scripts/install.sh | sh
litellm --setup
* fix: Register DynamoAI guardrail initializer and enum entry
Fix the "Unsupported guardrail: dynamoai" error by:
1. Adding DYNAMOAI to SupportedGuardrailIntegrations enum
2. Implementing initialize_guardrail() and registries in dynamoai/__init__.py
The DynamoAI guardrail was added in PR #15920 but never properly registered
in the initialization system. The __init__.py was missing the
guardrail_initializer_registry and guardrail_class_registry dictionaries
that the dynamic discovery mechanism looks for at module load time.
Fixes#22773
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
* Update litellm/proxy/guardrails/guardrail_hooks/dynamoai/__init__.py
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* Update litellm/proxy/guardrails/guardrail_hooks/dynamoai/__init__.py
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
* test: Add tests for DynamoAI guardrail registration
Verifies enum entry, initializer registry, class registry,
instance creation, and global registry discovery.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Haiku 4.5 <noreply@anthropic.com>
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Without this field on the model, GET /get/ui_settings omits the setting
from the response and field_schema, preventing the UI from reading it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add disable_custom_api_keys UI setting that prevents users from specifying
custom key values during key generation and regeneration. When enabled, all
keys must be auto-generated, eliminating the risk of key hash collisions
in multi-tenant environments.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When updating or regenerating a key without changing its key_alias, the
existing alias was being re-validated against current format rules. This
caused keys with legacy aliases (created before stricter validation) to
become uneditable. Now validation only runs when the alias actually changes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move the non-admin team validation into the existing get_team_object call
site to avoid an extra DB round-trip. The existing call already fetches
the team for limits checking — we now add the LIT-1884 guard there when
team_obj is None for non-admin callers.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Internal users could exploit key/generate and key/update to create unbound
keys (no user_id, no budget) or attach keys to non-existent teams. This
adds validation for non-admin callers: auto-assign user_id on generate,
reject invalid team_ids, and prevent removing user_id on update.
Closes LIT-1884
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(test): add missing mocks for test_streamable_http_mcp_handler_mock
The test was missing mocks for extract_mcp_auth_context and set_auth_context,
causing the handler to fail silently in the except block instead of reaching
session_manager.handle_request. This mirrors the fix already applied to the
sibling test_sse_mcp_handler_mock.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ci): route OpenAI models through chat completions in pass-through tests
The test_anthropic_messages_openai_model_streaming_cost_injection test fails
because the OpenAI Responses API returns 400 for requests routed through the
Anthropic Messages endpoint. Setting LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES=true
routes OpenAI models through the stable chat completions path instead.
Cost injection still works since it happens at the proxy level.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(ci): fix assemblyai custom auth and router wildcard test flakiness
1. custom_auth_basic.py: Add user_role='proxy_admin' so the custom auth
user can access management endpoints like /key/generate. The test
test_assemblyai_transcribe_with_non_admin_key was hidden behind an
earlier -x failure and was never reached before.
2. test_router_utils.py: Add flaky(retries=3) and increase sleep from 1s
to 2s for test_router_get_model_group_usage_wildcard_routes. The async
callback needs time to write usage to cache, and 1s is insufficient on
slower CI hardware.
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* ci: retrigger CI pipeline
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix(mypy): use LitellmUserRoles enum instead of raw string in custom_auth_basic
Fixes mypy error: Argument 'user_role' has incompatible type 'str'; expected 'LitellmUserRoles | None'
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
* fix: don't close HTTP/SDK clients on LLMClientCache eviction (#22926)
* fix: don't close HTTP/SDK clients on LLMClientCache eviction
Removing the _remove_key override that eagerly called aclose()/close()
on evicted clients. Evicted clients may still be held by in-flight
streaming requests; closing them causes:
RuntimeError: Cannot send a request, as the client has been closed.
This is a regression from commit fb72979432. Clients that are no longer
referenced will be garbage-collected naturally. Explicit shutdown cleanup
happens via close_litellm_async_clients().
Fixes production crashes after the 1-hour cache TTL expires.
* test: update LLMClientCache unit tests for no-close-on-eviction behavior
Flip the assertions: evicted clients must NOT be closed. Replace
test_remove_key_closes_async_client → test_remove_key_does_not_close_async_client
and equivalents for sync/eviction paths.
Add test_remove_key_removes_plain_values for non-client cache entries.
Remove test_background_tasks_cleaned_up_after_completion (no more _background_tasks).
Remove test_remove_key_no_event_loop variant that depended on old behavior.
* test: add e2e tests for OpenAI SDK client surviving cache eviction
Add two new e2e tests using real AsyncOpenAI clients:
- test_evicted_openai_sdk_client_stays_usable: verifies size-based eviction
doesn't close the client
- test_ttl_expired_openai_sdk_client_stays_usable: verifies TTL expiry
eviction doesn't close the client
Both tests sleep after eviction so any create_task()-based close would
have time to run, making the regression detectable.
Also expand the module docstring to explain why the sleep is required.
* docs(AGENTS.md): add rule — never close HTTP/SDK clients on cache eviction
* docs(CLAUDE.md): add HTTP client cache safety guideline
* [Fix] Install bsdmainutils for column command in security scans
The security_scans.sh script uses `column` to format vulnerability
output, but the package wasn't installed in the CI environment.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: handle string callback values in prometheus multiproc setup
When callbacks are configured as a plain string (e.g., `callbacks: "my_callback"`)
instead of a list, the proxy crashes on startup with:
TypeError: can only concatenate str (not "list") to str
Normalize each callback setting to a list before concatenating.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* bump: version 1.82.2 → 1.82.3
* fix(test): update test_startup_fails_when_db_setup_fails for opt-in enforcement
The --enforce_prisma_migration_check flag is now required to trigger
sys.exit(1) on DB migration failure, after #23675 flipped the default
behavior to warn-and-continue.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(cost_calculator): use model name for per-request custom pricing when router_model_id has no pricing
When custom pricing is passed as per-request kwargs (input_cost_per_token/output_cost_per_token),
completion() registers pricing under the model name, but _select_model_name_for_cost_calc was
selecting the router deployment hash (which has no pricing data), causing response_cost to be 0.0.
Now checks whether the router_model_id entry actually has pricing before preferring it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Non-admin users (INTERNAL_USER) could call /key/block and /key/unblock on
arbitrary keys, and modify max_budget on their own keys via /key/update.
These endpoints are now restricted to proxy admins, team admins, or org admins.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Convert all 8 new video methods from @abstractmethod to concrete implementations
that raise NotImplementedError. This prevents breaking external third-party
BaseVideoConfig subclasses at import time.
Methods affected:
- transform_video_create_character_request/response
- transform_video_get_character_request/response
- transform_video_edit_request/response
- transform_video_extension_request/response
External integrators can now upgrade without instantiation errors; NotImplementedError
is only raised when operations are actually called on unsupported providers.
This restores backward compatibility with the project's policy.
Made-with: Cursor
Add avideo_create_character and avideo_get_character to the list of video endpoints
that use router-first routing when a model is provided (either from decoded IDs or
target_model_names).
Previously only avideo_edit and avideo_extension were in the router-first block.
This ensures both character endpoints benefit from multi-deployment load balancing
and model resolution, making them consistent with the other video operations.
This allows:
- avideo_create_character: Router picks among multiple deployments when target_model_names is set
- avideo_get_character: Router assists with multi-model environments for consistency
Made-with: Cursor
Add response.raise_for_status() before transform_*_response() calls in all eight
video character/edit/extension handler methods (sync and async):
- video_create_character_handler / async_video_create_character_handler
- video_get_character_handler / async_video_get_character_handler
- video_edit_handler / async_video_edit_handler
- video_extension_handler / async_video_extension_handler
Without these checks, httpx does not raise on 4xx/5xx responses, so provider
errors (e.g., 401 Unauthorized) pass directly to Pydantic model constructors,
causing ValidationError instead of meaningful HTTP errors. The raise_for_status()
ensures the exception handler receives proper HTTPStatusError for translation into
actionable messages.
Made-with: Cursor
- Remove duplicate DecodedCharacterId TypedDict from litellm/types/videos/main.py
- Remove dead LITELLM_MANAGED_VIDEO_CHARACTER_COMPLETE_STR constant from litellm/types/utils.py
- Add FastAPI Form validation for name field in video_create_character endpoint
Made-with: Cursor
Use typed character response models and video multipart helpers so /videos/characters forwards uploaded MP4 files with video/* content type.
Made-with: Cursor
Support missing base64 padding in managed character/video IDs so copied encoded IDs still decode to the original upstream character ID.
Made-with: Cursor
* fix: improve db migration failure messaging and fix pyright errors in proxy_cli
- Clarify --skip_db_migration_check messaging so users know how to opt
into warn-and-continue behavior when database setup fails
- Fix pyright reportArgumentType error by casting get_secret result to str
- Fix pyright reportPossiblyUnboundVariable by initializing litellm_settings
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: replace --skip_db_migration_check with --enforce_prisma_migration_check
Flip the default behavior: database migration failures now warn and
continue by default. Only when --enforce_prisma_migration_check (or
ENFORCE_PRISMA_MIGRATION_CHECK=true) is explicitly set will the proxy
exit on migration failure.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix: Fixes https://github.com/BerriAI/litellm/issues/23185
* fix(responses/main.py): ensure litellm metadata custom cost works
* refactor: move all logging updates to a common function, to have just 1 place to update logging kwarg updates
The retrieve_batch endpoint sets batch status to "complete" but never set
batch_processed=True, permanently blocking file deletion. CheckBatchCost
(the safety net) also excluded completed batches from its primary query,
so batch_processed was never set by either path.
Three fixes:
1. update_batch_in_database sets batch_processed=True when status reaches
"complete", with old-schema fallback retry
2. CheckBatchCost primary query no longer excludes complete/completed
(batch_processed=False filter prevents reprocessing)
3. retrieve_batch early-return now includes "complete" (DB-normalized
spelling) to avoid unnecessary provider re-polls
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The previous approach populated _hidden_params to trigger the managed files
hook, but the hook also re-encodes response.id (batch ID), causing double-
encoding when the DB already stores unified IDs. Instead, resolve raw
output_file_id/error_file_id to unified IDs via a direct DB lookup (same
pattern as resolve_input_file_id_to_unified), which avoids the hook entirely.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When a completed batch is served from the DB cache, _hidden_params was empty,
causing the managed files hook to skip output_file_id translation from raw
provider IDs to unified IDs. This fix populates unified_batch_id and model_id
on the early-return path, with a guard against double-encoding when the DB
already stores unified IDs.
Also reduces file deletion retry delay (20s→5s), reruns (5→2), and CI timeout
(30m→15m) to cut worst-case runtime from ~16min to ~4min.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
