diff --git a/.circleci/config.yml b/.circleci/config.yml index 5e77729df29..4615a6a5a7e 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -430,7 +430,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv \ - --cov=./litellm \ + --cov=./litellm --cov=./enterprise/litellm_enterprise \ --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=20 \ @@ -504,7 +504,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv \ - --cov=./litellm \ + --cov=./litellm --cov=./enterprise/litellm_enterprise \ --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=20 \ @@ -631,7 +631,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -v -x \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 2" @@ -651,126 +651,6 @@ jobs: - auth_ui_unit_tests_coverage.xml - auth_ui_unit_tests_coverage - proxy_behavior_tests: - docker: - - *python312_image - - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 - environment: - POSTGRES_USER: postgres - POSTGRES_PASSWORD: postgres - POSTGRES_DB: litellm_test - working_directory: ~/project - environment: - DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" - steps: - - checkout - - skip_if_unrelated_changes - - setup_google_dns - - install_uv - - install_rust - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" - - run: - name: Seed DB schema via prisma db push - command: | - uv run --no-sync prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss - - run: - name: Generate Prisma Client - command: uv run --no-sync python -m prisma generate - - run: - name: Run proxy management behavior tests - command: | - mkdir -p test-results - uv run --no-sync python -m pytest tests/proxy_behavior \ - -v --junitxml=test-results/junit.xml --durations=10 - no_output_timeout: 15m - - store_test_results: - path: test-results - - proxy_security_tests: - docker: - - *python312_image - - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 - environment: - POSTGRES_USER: postgres - POSTGRES_PASSWORD: postgres - POSTGRES_DB: litellm_test - working_directory: ~/project - environment: - DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" - steps: - - checkout - - skip_if_unrelated_changes - - setup_google_dns - - install_uv - - install_rust - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" - - run: - name: Seed DB schema via prisma db push - command: | - uv run --no-sync prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss - - run: - name: Generate Prisma Client - command: uv run --no-sync python -m prisma generate - - run: - name: Run proxy security tests - command: | - mkdir -p test-results - uv run --no-sync python -m pytest tests/proxy_security_tests \ - -v --junitxml=test-results/junit.xml --durations=10 - no_output_timeout: 15m - - store_test_results: - path: test-results - - schema_migration_check: - docker: - - *python312_image - - image: cimg/postgres:16.0@sha256:b125148bc76e8e8eee5eb3ad6020a3a14110a14e8192f1c645128afebe2e2f84 - environment: - POSTGRES_USER: postgres - POSTGRES_PASSWORD: postgres - POSTGRES_DB: litellm_test - working_directory: ~/project - environment: - # An empty database; the test applies every committed migration itself. - DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" - steps: - - checkout - - skip_if_unrelated_changes - - setup_google_dns - - install_uv - - install_rust - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - - wait_for_service: - url: tcp://localhost:5432 - timeout: "60" - - run: - name: Generate Prisma Client - command: uv run --no-sync python -m prisma generate - - run: - name: Check schema.prisma is in sync with committed migrations - command: | - mkdir -p test-results - uv run --no-sync python -m pytest tests/proxy_migration_tests \ - -v --junitxml=test-results/junit.xml --durations=10 - no_output_timeout: 15m - - store_test_results: - path: test-results - litellm_router_testing: # Runs all tests with the "router" keyword docker: - *python312_image @@ -858,7 +738,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -v -x \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 4" @@ -985,7 +865,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=20 \ -n 4 \ @@ -1030,7 +910,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5" no_output_timeout: 15m @@ -1074,7 +954,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 2 \ @@ -1120,7 +1000,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ --retries 3 --retry-delay 5" @@ -1211,7 +1091,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 4" @@ -1255,7 +1135,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 4" @@ -1274,40 +1154,6 @@ jobs: paths: - search_coverage.xml - search_coverage - litellm_mapped_enterprise_tests: - docker: - - *python312_image - working_directory: ~/project - resource_class: large - - steps: - - checkout - - skip_if_unrelated_changes - - setup_google_dns - - install_uv - - install_rust - - run: - name: Install Dependencies - command: | - uv sync --frozen --all-groups --all-extras --python 3.12 - - setup_litellm_enterprise_pip - - run: - name: Run enterprise tests - command: | - uv run --no-sync python -m prisma generate - mkdir -p test-results - TEST_FILES=$(circleci tests glob "tests/enterprise/**/test_*.py") - echo "$TEST_FILES" | circleci tests run \ - --verbose \ - --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ - -v -x \ - --junitxml=test-results/junit-enterprise.xml \ - --durations=10 \ - -n 4" - no_output_timeout: 15m - # Store test results - - store_test_results: - path: test-results batches_testing: docker: - *python312_image @@ -1333,7 +1179,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 2" @@ -1377,7 +1223,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 2" @@ -1422,7 +1268,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 \ -n 4" @@ -1501,7 +1347,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ -n 4 \ --junitxml=test-results/junit.xml \ --durations=5 \ @@ -1546,7 +1392,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5" no_output_timeout: 15m @@ -1599,7 +1445,7 @@ jobs: --verbose \ --command="tr ' ' '\\n' | awk '/\\.py/ {print; next} {sub(/\\.[A-Z][^.]*$/, \"\"); gsub(/\\./, \"/\"); print \$0 \".py\"}' | xargs uv run --no-sync python -m pytest \ -vv -x -s \ - --cov=./litellm --cov-report=xml \ + --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml \ --junitxml=test-results/junit.xml \ --durations=5 -n 2 \ --reruns 2 --reruns-delay 1" @@ -3105,12 +2951,6 @@ workflows: filters: *main_branches - auth_ui_unit_tests: filters: *main_branches - - proxy_behavior_tests: - filters: *main_branches - - proxy_security_tests: - filters: *main_branches - - schema_migration_check: - filters: *main_branches - build_docker_database_image: filters: *main_branches - e2e_ui_testing: @@ -3167,8 +3007,6 @@ workflows: filters: *main_branches - search_testing: filters: *main_branches - - litellm_mapped_enterprise_tests: - filters: *main_branches - batches_testing: filters: *main_branches - litellm_utils_testing: @@ -3191,7 +3029,6 @@ workflows: - guardrails_testing - ocr_testing - search_testing - - litellm_mapped_enterprise_tests - batches_testing - litellm_utils_testing - pass_through_unit_testing diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 118e5491939..7ae79aa666f 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -1,5 +1,7 @@ -/ui/ @yuneng-jiang @ryan-crabbe-berri -/litellm/proxy/_experimental/out/ @yuneng-jiang @ryan-crabbe-berri +/ui/ @yuneng-berri @ryan-crabbe-berri +/litellm/proxy/_experimental/out/ @yuneng-berri @ryan-crabbe-berri /ui/litellm-dashboard/src/lib/http/schema.d.ts /model_prices_and_context_window.json @mateo-berri /litellm/model_prices_and_context_window_backup.json @mateo-berri +/litellm-proxy-extras/litellm_proxy_extras/migrations/ @yuneng-berri @ryan-crabbe-berri +/.github/CODEOWNERS @yuneng-berri diff --git a/.github/actions/cache-cargo-build/action.yml b/.github/actions/cache-cargo-build/action.yml new file mode 100644 index 00000000000..36c6c790b84 --- /dev/null +++ b/.github/actions/cache-cargo-build/action.yml @@ -0,0 +1,31 @@ +name: "Cache the Rust build" +description: >- + Cache the Cargo registry and target directory the root package's build needs, + so only the first job on a given Cargo.lock compiles the bridge from scratch. + + litellm builds through maturin, which compiles litellm-rust/crates/python-bridge + in release mode before it can produce a wheel. `uv sync` therefore pays a full + build in every job that installs the workspace: measured at 2m40s per unit shard + on 2026-08-21, more than the whole unit tier spends running tests. Nothing caught + it, because the uv cache holds wheels uv downloads rather than wheels it builds, + and a path dependency whose source moves every commit could never hit that cache + anyway. Cargo rebuilds only what changed when its target directory survives, so a + warm job pays for the bridge crate alone. + + The key namespace is separate from test-rust.yml's. Both cache the same directory, + but that workflow fills it with debug and clippy artifacts, which a release build + cannot reuse, and a shared key would let whichever ran first deny the other a save. + +runs: + using: composite + steps: + - name: Restore the Cargo registry and target directory + uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0 + with: + path: | + ~/.cargo/registry + ~/.cargo/git + litellm-rust/target + key: ${{ runner.os }}-cargo-release-${{ hashFiles('litellm-rust/Cargo.lock') }} + restore-keys: | + ${{ runner.os }}-cargo-release- diff --git a/.github/ci-coverage-allowlist.yml b/.github/ci-coverage-allowlist.yml index ff8fa864d4a..f7a785b3b80 100644 --- a/.github/ci-coverage-allowlist.yml +++ b/.github/ci-coverage-allowlist.yml @@ -5,24 +5,21 @@ description: >- test_paths: - reason: >- - The caching suite in tests/local_testing, which runs nowhere. Every job that globs that - directory either deselects it (local_testing_part1 and part2 carry `-k "... and not caching - and not cache"`) or keeps only another keyword (langfuse, router, assistants), and no job - names these files the way redis_caching_unit_tests names test_dual_cache.py. Measured - 2026-08-20 by collecting the directory under each job's own selector: 118 tests across - these eight files are selected by none of them. Listed so the gap is a decision rather - than an accident, and so the --slices guard has a baseline to ratchet down from. Revisit - when tests/local_testing is ported off CircleCI, where the keyless part of this suite - belongs in a real job + What is left of the caching suite in tests/local_testing that runs nowhere. Every job that + globs that directory either deselects it (local_testing_part1 and part2 carry `-k "... and + not caching and not cache"`) or keeps only another keyword (langfuse, router, assistants), + and no job names these files the way redis_caching_unit_tests names test_dual_cache.py. + The gap was eight files and 118 tests when measured 2026-08-20; the five keyless ones now + run in the caching-local shard, leaving these three. Measured 2026-08-21 with no provider + credentials and no Redis: test_caching.py needs both (37 of 65 fail without them), + test_disk_cache_unit_tests.py needs OPENAI_API_KEY for 2 of its 4, and + test_gcs_cache_unit_tests.py needs GCS credentials for all 4. They want the keyless/live + split that porting tests/local_testing off CircleCI will force, not a job that is red by + construction paths: - - tests/local_testing/test_cache_preset_key.py - tests/local_testing/test_caching.py - - tests/local_testing/test_caching_handler.py - tests/local_testing/test_disk_cache_unit_tests.py - tests/local_testing/test_gcs_cache_unit_tests.py - - tests/local_testing/test_prompt_caching.py - - tests/local_testing/test_responses_stream_cache_keys.py - - tests/local_testing/test_unit_test_caching.py - reason: >- The end-to-end suite runs against a deployed proxy from its own in-cluster rig rather than from a pull request; it needs a live gateway and provider credentials no PR job holds @@ -48,16 +45,6 @@ test_paths: choice it informed is settled paths: - tests/code_coverage_tests/test_aio_http_image_conversion.py - - reason: >- - The last file of a second mirror that sat beside tests/test_litellm and ran nowhere. Its - other 33 files landed in the real mirror during August 2026, 30 as moves and 3 by merging - their bodies into the live file of the same name. This one cannot follow either route yet: - its live twin was rewritten from 1268 lines to 9434, and of the 19 tests here 5 have no - counterpart while 25 assertions fail against today's code, so what survives that rewrite - is a judgement about the endpoints, not a merge. Revisit by deciding which of the five - behaviours still hold - paths: - - tests/litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py - reason: >- No job invokes this suite and its files mix pure transformation tests with ones driving live vendor vector stores, so assigning them needs a per-file decision @@ -102,17 +89,6 @@ test_paths: - tests/integration/sandbox/test_e2b_sandbox.py - tests/integration/test_oci_integration.py - tests/integration/test_oci_proxy_integration.py - - reason: >- - A unit test for the proxy-extras package that no job invokes, while the package's other - tests live under tests/proxy_migration_tests. Measured 2026-08-20: 24 of its 28 tests pass - and the 4 in TestMigrationSQLIdempotency fail, because 13 migrations from 2026-03 onward use - bare CREATE TABLE, ADD COLUMN, CREATE INDEX and ADD CONSTRAINT rather than the guarded forms - this file requires. It also matches those keywords inside SQL comments, so two further - migrations are reported that are in fact fine. Wiring it up means deciding what to do about - the 13 first, and they cannot simply be edited: Prisma checksums an applied migration, so a - changed one breaks migrate deploy for existing installs - paths: - - tests/litellm-proxy-extras/test_litellm_proxy_extras_utils.py dockerfiles: - reason: >- diff --git a/.github/scripts/assert_ci_coverage.py b/.github/scripts/assert_ci_coverage.py index c8572d9f6ef..411852acb98 100644 --- a/.github/scripts/assert_ci_coverage.py +++ b/.github/scripts/assert_ci_coverage.py @@ -312,8 +312,23 @@ def _matchable_names(relative_path: str) -> frozenset[str]: ) +def _workflow_named_tokens() -> frozenset[str]: + """Test tokens a GitHub Actions job names directly. + + A CircleCI `-k` that deselects a file no longer means the file runs nowhere once a + workflow names it, so the slice check has to credit those the same way the census does. + """ + return _invoked_test_tokens( + scalar + for path in _config_files() + if path != CIRCLECI_CONFIG + for scalar in _scalars(yaml.safe_load(path.read_text(encoding="utf-8")), path.name) + ) + + def _deselected_everywhere(allowlist: Allowlist) -> tuple[Finding, ...]: slices: Final = _slices() + named_by_workflow: Final = _workflow_named_tokens() globbed: Final = tuple( path for path in _test_files() @@ -326,6 +341,7 @@ def _deselected_everywhere(allowlist: Allowlist) -> tuple[Finding, ...]: ) for path in globbed if not allowlist.covers_test(path) + and not any(_token_covers(token, path) for token in named_by_workflow) and not any(slice_.claims(path, _matchable_names(path)) for slice_ in slices) ) diff --git a/.github/workflows/_test-unit-base.yml b/.github/workflows/_test-unit-base.yml index 54f50524a39..c4045a08ffb 100644 --- a/.github/workflows/_test-unit-base.yml +++ b/.github/workflows/_test-unit-base.yml @@ -27,7 +27,7 @@ on: default: 20 job-timeout-minutes: description: >- - Backstop for the whole job. Keep it >= `timeout-minutes` plus 35: 30 for + Backstop for the whole job. Keep it >= `timeout-minutes` plus 40: 35 for the per-step ceilings on the setup steps below, and 5 for the runner overhead the job clock charges but no step owns (job init, step transitions, post-job cleanup). That headroom is what makes the test @@ -36,7 +36,7 @@ on: arithmetic, so the sum is passed in rather than computed. required: false type: number - default: 55 + default: 60 max-failures: description: "Stop after this many failures" required: false @@ -103,6 +103,11 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 5 + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies if: steps.changes.outputs.decision != 'skip' timeout-minutes: 8 @@ -144,7 +149,7 @@ jobs: --reruns "${RERUNS}" \ --reruns-delay 1 \ --durations=20 \ - --cov=./litellm \ + --cov=./litellm --cov=./enterprise/litellm_enterprise \ --cov-report=xml:coverage.xml \ --cov-config=pyproject.toml else @@ -156,7 +161,7 @@ jobs: --reruns-delay 1 \ --dist="${DIST}" \ --durations=20 \ - --cov=./litellm \ + --cov=./litellm --cov=./enterprise/litellm_enterprise \ --cov-report=xml:coverage.xml \ --cov-config=pyproject.toml fi diff --git a/.github/workflows/check-ui-api-types.yml b/.github/workflows/check-ui-api-types.yml index dbd663a2efa..285676a0ddd 100644 --- a/.github/workflows/check-ui-api-types.yml +++ b/.github/workflows/check-ui-api-types.yml @@ -67,6 +67,10 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + if: steps.changes.outputs.relevant == 'true' + uses: ./.github/actions/cache-cargo-build + - name: Install backend dependencies if: steps.changes.outputs.relevant == 'true' run: .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router diff --git a/.github/workflows/image-scan.yml b/.github/workflows/image-scan.yml index 8faf3ef6229..d798df4c3a4 100644 --- a/.github/workflows/image-scan.yml +++ b/.github/workflows/image-scan.yml @@ -17,6 +17,8 @@ on: - backend/Dockerfile - backend/main.py - docker/component_entrypoint.sh + - docker/entrypoint.sh + - litellm/proxy/prisma_migration.py - litellm-proxy-extras/** - tests/proxy_migration_tests/** - uv.lock diff --git a/.github/workflows/mutation-test.yml b/.github/workflows/mutation-test.yml index 68317d5dd12..602c26a3e98 100644 --- a/.github/workflows/mutation-test.yml +++ b/.github/workflows/mutation-test.yml @@ -53,6 +53,9 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies run: | .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml diff --git a/.github/workflows/publish-basedpyright-base-counts.yml b/.github/workflows/publish-basedpyright-base-counts.yml index 71e196d8361..cd443a8e9db 100644 --- a/.github/workflows/publish-basedpyright-base-counts.yml +++ b/.github/workflows/publish-basedpyright-base-counts.yml @@ -43,6 +43,9 @@ jobs: with: version: "0.10.9" + - name: Cache the Rust build + uses: ./.github/actions/cache-cargo-build + - name: Cache Prisma binaries uses: ./.github/actions/cache-prisma-binaries diff --git a/.github/workflows/test-code-quality.yml b/.github/workflows/test-code-quality.yml index 8f62837d29a..2a832d1956e 100644 --- a/.github/workflows/test-code-quality.yml +++ b/.github/workflows/test-code-quality.yml @@ -56,6 +56,9 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies run: uv sync --frozen --all-groups --all-extras diff --git a/.github/workflows/test-linting.yml b/.github/workflows/test-linting.yml index e031ba46773..9f1283da19e 100644 --- a/.github/workflows/test-linting.yml +++ b/.github/workflows/test-linting.yml @@ -67,6 +67,17 @@ jobs: with: version: "0.10.9" + - name: Cache uv dependencies + if: steps.changes.outputs.decision != 'skip' + uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0 + with: + path: | + ~/.cache/uv + .venv + key: ${{ runner.os }}-uv-lint-${{ hashFiles('uv.lock') }} + restore-keys: | + ${{ runner.os }}-uv-lint- + - name: Clean Python cache if: steps.changes.outputs.decision != 'skip' run: | @@ -78,6 +89,10 @@ jobs: run: | uv lock --check || (echo "❌ uv.lock is out of sync with pyproject.toml. Run 'uv lock' locally and commit the result." && exit 1) + - name: Cache the Rust build + if: steps.changes.outputs.decision != 'skip' + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies if: steps.changes.outputs.decision != 'skip' run: | diff --git a/.github/workflows/test-mcp.yml b/.github/workflows/test-mcp.yml index 95187ef2835..93ffcbe0586 100644 --- a/.github/workflows/test-mcp.yml +++ b/.github/workflows/test-mcp.yml @@ -47,6 +47,10 @@ jobs: with: version: "0.10.9" + - name: Cache the Rust build + if: steps.changes.outputs.decision != 'skip' + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies if: steps.changes.outputs.decision != 'skip' run: | @@ -56,4 +60,4 @@ jobs: - name: Run MCP tests if: steps.changes.outputs.decision != 'skip' run: | - uv run --no-sync pytest tests/mcp_tests -x -vv -n 4 --cov=./litellm --cov-report=xml --durations=5 + uv run --no-sync pytest tests/mcp_tests -x -vv -n 4 --cov=./litellm --cov=./enterprise/litellm_enterprise --cov-report=xml --durations=5 diff --git a/.github/workflows/test-postgres.yml b/.github/workflows/test-postgres.yml new file mode 100644 index 00000000000..96c514dff7c --- /dev/null +++ b/.github/workflows/test-postgres.yml @@ -0,0 +1,145 @@ +name: "Postgres Tests" + +on: + pull_request: + branches: + - main + - litellm_internal_staging + - litellm_oss_staging + - "litellm_**" + push: + branches: + - main + - litellm_internal_staging + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }} + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + +jobs: + postgres: + name: ${{ matrix.shard }} + runs-on: ubuntu-latest + timeout-minutes: ${{ matrix.job-timeout-minutes }} + permissions: + contents: read + + services: + postgres: + image: postgres:16@sha256:e17e86066e5ef83e0952a9347f5c792b7ece00972e2aa787a6986f471b3dd3d5 + env: + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + POSTGRES_DB: litellm_test + ports: + - 5432:5432 + options: >- + --health-cmd pg_isready + --health-interval 10s + --health-timeout 5s + --health-retries 10 + + strategy: + fail-fast: false + matrix: + include: + - shard: proxy-behavior + test-path: "tests/proxy_behavior" + seed: db-push + workers: 0 + timeout-minutes: 25 + job-timeout-minutes: 50 + + - shard: proxy-security + test-path: "tests/proxy_security_tests" + seed: db-push + workers: 0 + timeout-minutes: 15 + job-timeout-minutes: 40 + + - shard: schema-migration + test-path: "tests/proxy_migration_tests" + seed: none + workers: 0 + timeout-minutes: 20 + job-timeout-minutes: 45 + + env: + DATABASE_URL: "postgresql://postgres:postgres@localhost:5432/litellm_test" + + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + timeout-minutes: 3 + with: + persist-credentials: false + + - name: Detect relevant changes + id: changes + timeout-minutes: 2 + uses: ./.github/actions/detect-changes + + - name: Set up Python + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 3 + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.12" + + - name: Set up uv + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 3 + uses: ./.github/actions/setup-uv-with-retries + with: + version: "0.10.9" + + - name: Cache uv dependencies + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 5 + uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0 + with: + path: | + ~/.cache/uv + .venv + key: ${{ runner.os }}-uv-postgres-${{ hashFiles('uv.lock') }} + restore-keys: | + ${{ runner.os }}-uv-postgres- + + - name: Install dependencies + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 12 + run: | + .github/scripts/uv_sync_with_retries.sh --frozen --all-groups --all-extras + + - name: Cache Prisma binaries + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 3 + uses: ./.github/actions/cache-prisma-binaries + + - name: Generate Prisma client + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: 5 + run: | + uv run --no-sync prisma generate --schema litellm/proxy/schema.prisma + + - name: Seed database schema + if: steps.changes.outputs.decision != 'skip' && matrix.seed != 'none' + timeout-minutes: 10 + run: | + uv run --no-sync prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss + + - name: Run tests + if: steps.changes.outputs.decision != 'skip' + timeout-minutes: ${{ matrix.timeout-minutes }} + env: + TEST_PATH: ${{ matrix.test-path }} + WORKERS: ${{ matrix.workers }} + run: | + if [ "${WORKERS}" = "0" ]; then + uv run --no-sync pytest ${TEST_PATH:?} -vv --tb=short --durations=10 + else + uv run --no-sync pytest ${TEST_PATH:?} -vv --tb=short --durations=10 -n "${WORKERS}" + fi diff --git a/.github/workflows/test-terraform-provider.yml b/.github/workflows/test-terraform-provider.yml index 7ea22825f4f..e46432e0e31 100644 --- a/.github/workflows/test-terraform-provider.yml +++ b/.github/workflows/test-terraform-provider.yml @@ -88,6 +88,9 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies run: | .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router diff --git a/.github/workflows/test-unit-documentation.yml b/.github/workflows/test-unit-documentation.yml index cb8035aafa1..90b6b28374e 100644 --- a/.github/workflows/test-unit-documentation.yml +++ b/.github/workflows/test-unit-documentation.yml @@ -67,6 +67,10 @@ jobs: restore-keys: | ${{ runner.os }}-uv- + - name: Cache the Rust build + if: steps.changes.outputs.decision != 'skip' + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies if: steps.changes.outputs.decision != 'skip' run: | diff --git a/.github/workflows/test-unit.yml b/.github/workflows/test-unit.yml index 3d6fffe7304..a7c67f2b35d 100644 --- a/.github/workflows/test-unit.yml +++ b/.github/workflows/test-unit.yml @@ -55,7 +55,7 @@ jobs: workers: 2 reruns: 1 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: enterprise-routing artifact-name: enterprise-routing @@ -67,7 +67,7 @@ jobs: workers: 2 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: integrations artifact-name: integrations @@ -75,7 +75,7 @@ jobs: workers: 2 reruns: 3 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: Vertex AI artifact-name: llm-vertex-ai @@ -83,7 +83,7 @@ jobs: workers: 1 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: All Other Providers artifact-name: llm-other-providers @@ -91,7 +91,7 @@ jobs: workers: 2 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: misc artifact-name: misc @@ -122,7 +122,7 @@ jobs: workers: 2 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: proxy-auth artifact-name: proxy-auth @@ -134,7 +134,7 @@ jobs: workers: 2 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: proxy-endpoints artifact-name: proxy-endpoints @@ -168,10 +168,10 @@ jobs: tests/test_litellm/proxy/ui_crud_endpoints tests/test_litellm/proxy/config_resolvers tests/test_litellm/proxy/utils - workers: 2 + workers: 4 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 - shard: proxy-server artifact-name: proxy-server @@ -179,7 +179,7 @@ jobs: workers: 4 reruns: 2 timeout-minutes: 60 - job-timeout-minutes: 95 + job-timeout-minutes: 100 - shard: proxy-infra artifact-name: proxy-infra @@ -195,11 +195,40 @@ jobs: tests/test_litellm/proxy/types_utils tests/test_litellm/proxy/logging_endpoints tests/test_litellm/proxy/test_*.py + workers: 4 + reruns: 2 + timeout-minutes: 20 + job-timeout-minutes: 60 + + - shard: caching-local + artifact-name: caching-local + test-path: >- + tests/local_testing/test_cache_preset_key.py + tests/local_testing/test_caching_handler.py + tests/local_testing/test_prompt_caching.py + tests/local_testing/test_responses_stream_cache_keys.py + tests/local_testing/test_unit_test_caching.py workers: 2 reruns: 2 timeout-minutes: 20 job-timeout-minutes: 55 + - shard: proxy-extras + artifact-name: proxy-extras + test-path: "tests/litellm-proxy-extras" + workers: 2 + reruns: 2 + timeout-minutes: 20 + job-timeout-minutes: 55 + + - shard: enterprise-package + artifact-name: enterprise-package + test-path: "tests/enterprise" + workers: 4 + reruns: 2 + timeout-minutes: 20 + job-timeout-minutes: 55 + - shard: responses-caching-types artifact-name: responses-caching-types test-path: >- @@ -209,7 +238,7 @@ jobs: workers: 2 reruns: 2 timeout-minutes: 20 - job-timeout-minutes: 55 + job-timeout-minutes: 60 uses: ./.github/workflows/_test-unit-base.yml with: test-path: ${{ matrix.test-path }} diff --git a/.github/workflows/weekly_load_anomaly.yml b/.github/workflows/weekly_load_anomaly.yml index 2dffc889d0e..3e1fca89645 100644 --- a/.github/workflows/weekly_load_anomaly.yml +++ b/.github/workflows/weekly_load_anomaly.yml @@ -47,6 +47,9 @@ jobs: with: version: "0.10.9" + - name: Cache the Rust build + uses: ./.github/actions/cache-cargo-build + - name: Install dependencies run: | .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra proxy diff --git a/Dockerfile b/Dockerfile index 66ce3af4a65..700b0d6525e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,10 +1,10 @@ # syntax=docker/dockerfile:1.7 # Base image for building -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 # Runtime image -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a # Pinned by digest like the other base images; bump explicitly on Node upgrades. ARG UI_BUILD_IMAGE=node:24.19-alpine3.24@sha256:d32cdf619f63fe0471182d08996dd516c6275bb5fd31ae06e55a570bd9e1ad43 diff --git a/backend/Dockerfile b/backend/Dockerfile index 853c74b05ca..4ca40944606 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -1,5 +1,5 @@ -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/basedpyright-code-budget.json b/basedpyright-code-budget.json index 776aecbd883..664e1669834 100644 --- a/basedpyright-code-budget.json +++ b/basedpyright-code-budget.json @@ -84,7 +84,7 @@ "limit": 56 }, "reportPrivateUsage": { - "limit": 1823 + "limit": 1822 }, "reportRedeclaration": { "limit": 8 diff --git a/ci_cd/generate_model_prices_schema.py b/ci_cd/generate_model_prices_schema.py index 252e3675329..b2bc3ebadb4 100644 --- a/ci_cd/generate_model_prices_schema.py +++ b/ci_cd/generate_model_prices_schema.py @@ -27,6 +27,7 @@ EXTRA_BOOLEAN_KEYS = frozenset( "uses_embed_content", "use_openai_responses_path", "bedrock_converse_supports_strict_tools", + "thinking_always_on", } ) diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database index 4bf3ae2b417..f0d6d02fccf 100644 --- a/docker/Dockerfile.database +++ b/docker/Dockerfile.database @@ -1,10 +1,10 @@ # syntax=docker/dockerfile:1.7 # Base image for building -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 # Runtime image -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a # Pinned by digest like the other base images; bump explicitly on Node upgrades. ARG UI_BUILD_IMAGE=node:24.19-alpine3.24@sha256:d32cdf619f63fe0471182d08996dd516c6275bb5fd31ae06e55a570bd9e1ad43 diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 7392cc09a0d..4a5df6ecd69 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -1,8 +1,8 @@ # syntax=docker/dockerfile:1.7 # Base images -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 ARG PROXY_EXTRAS_SOURCE=published ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a # Pinned by digest like the other base images; bump explicitly on Node upgrades. diff --git a/enterprise/enterprise_hooks/banned_keywords.py b/enterprise/enterprise_hooks/banned_keywords.py index 47421c96051..6f6a37b6c55 100644 --- a/enterprise/enterprise_hooks/banned_keywords.py +++ b/enterprise/enterprise_hooks/banned_keywords.py @@ -21,6 +21,7 @@ from fastapi import HTTPException class _ENTERPRISE_BannedKeywords(CustomLogger): + enforces_request_content: bool = True # Class variables or attributes def __init__(self): banned_keywords_list = litellm.banned_keywords_list diff --git a/enterprise/enterprise_hooks/blocked_user_list.py b/enterprise/enterprise_hooks/blocked_user_list.py index d34605b30ac..a032ea7662d 100644 --- a/enterprise/enterprise_hooks/blocked_user_list.py +++ b/enterprise/enterprise_hooks/blocked_user_list.py @@ -18,6 +18,7 @@ from fastapi import HTTPException class _ENTERPRISE_BlockedUserList(CustomLogger): + enforces_request_content: bool = True # Class variables or attributes def __init__(self, prisma_client: Optional[PrismaClient]): self.prisma_client = prisma_client diff --git a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py index 4bb00408fc3..76e92538aaa 100644 --- a/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py +++ b/enterprise/litellm_enterprise/proxy/common_utils/check_batch_cost.py @@ -966,6 +966,16 @@ class CheckBatchCost: ) elif response.status in PROVIDER_TERMINAL_BATCH_STATUSES: + from litellm.proxy.openai_files_endpoints.common_utils import ( + _completed_batch_safe_to_retire, + ) + + if response.status in ("completed", "complete") and not _completed_batch_safe_to_retire(response): + verbose_proxy_logger.info( + f"CheckBatchCost: batch {batch_id} is completed but its output file id " + f"has not appeared yet; leaving job {job.id} for the next poll cycle" + ) + continue await self._finalize_unbilled_terminal_job(job, response) # Record polling run metrics (always, even if nothing was processed) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index c986e835e4f..39f8de0b0cc 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -45,6 +45,8 @@ from litellm.proxy._types import ( UserAPIKeyAuth, ) from litellm.proxy.openai_files_endpoints.common_utils import ( + FILE_LIST_CONTINUATION_CHUNK_SIZE, + MAX_FILE_LIST_LIMIT, _is_base64_encoded_unified_file_id, apply_unified_file_ids, ensure_batch_response_managed_file_ids, @@ -54,6 +56,8 @@ from litellm.proxy.openai_files_endpoints.common_utils import ( map_raw_file_ids_to_unified, normalize_mime_type_for_provider, resolve_managed_output_file_model_name, + validate_file_list_limit, + validate_file_list_purpose, ) from litellm.proxy.pass_through_endpoints.llm_provider_handlers.batch_attribution import ( request_tags_from_metadata, @@ -63,9 +67,9 @@ from litellm.types.llms.openai import ( # pyright: ignore[reportAttributeAccess AsyncCursorPage, ChatCompletionFileObject, CreateFileRequest, + FileListPage, FileObject, OpenAIFileObject, - OpenAIFilesPurpose, ResponsesAPIResponse, ) from litellm.types.utils import ( @@ -144,7 +148,14 @@ class _ManagedFileRow(Protocol): class _ManagedFileTableActions(Protocol): async def find_first(self, where: Mapping[str, object]) -> Optional[_ManagedFileRow]: ... - async def find_many(self, where: Mapping[str, object]) -> Sequence[_ManagedFileRow]: ... + async def find_many( + self, + where: Mapping[str, object], + take: int = ..., + order: Union[Mapping[str, str], Sequence[Mapping[str, str]]] = ..., + cursor: Mapping[str, str] = ..., + skip: int = ..., + ) -> Sequence[_ManagedFileRow]: ... async def upsert(self, where: Mapping[str, str], data: Mapping[str, Mapping[str, object]]) -> _ManagedFileRow: ... @@ -1365,12 +1376,76 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): async def afile_list( self, - purpose: Optional[OpenAIFilesPurpose], + purpose: Optional[str], litellm_parent_otel_span: Optional[Span], + user_api_key_dict: UserAPIKeyAuth, + limit: Optional[int] = None, + after: Optional[str] = None, **data: Dict, - ) -> List[OpenAIFileObject]: - """Handled in files_endpoints.py""" - return [] + ) -> FileListPage: + """List the managed files the caller owns, newest first. + + Pagination is keyset based on ``unified_file_id`` so a key that owns + every file on the proxy still reads one bounded page at a time. + ``purpose`` is applied after parsing, because the managed file table + keeps it inside the ``file_object`` blob instead of a column, and rows + whose blob will not parse drop out there too, so a chunk of rows can + yield fewer matches than the page holds. Successive chunks are read + until the page is full or the caller's rows run out, which keeps + ``data`` non-empty while matches remain and its last id usable as the + next cursor. A first chunk that fills the page costs one query; once a + scan has to continue past it, the chunk widens to + ``FILE_LIST_CONTINUATION_CHUNK_SIZE``, so the walk costs one query per + that many rows instead of one per page. That bound is per query, not + per request: the work is still linear in the rows the caller owns, and + a filter matching nothing reads every one of them, with no index + covering either the owner filter or the sort. + """ + validate_file_list_limit(limit) + validate_file_list_purpose(purpose) + + owner_filter: Final = build_owner_filter(user_api_key_dict) + if owner_filter is None: + return FileListPage(**build_list_page([])) + + if after: + cursor_row = await _managed_file_table(self.prisma_client).find_first( + where={**owner_filter, "unified_file_id": after} + ) + if cursor_row is None: + raise ProxyException( + message=f"Invalid 'after' cursor: no file found with id '{after}'.", + type="invalid_request_error", + param="after", + code=400, + openai_code="invalid_value", + ) + + page_size: Final = min(limit or MAX_FILE_LIST_LIMIT, MAX_FILE_LIST_LIMIT) + matches: Final[List[OpenAIFileObject]] = [] + cursor_id = after + chunk_size = page_size + 1 + + while len(matches) <= page_size: + cursor_args: _CursorPageArgs = {"cursor": {"unified_file_id": cursor_id}, "skip": 1} if cursor_id else {} + chunk = await _managed_file_table(self.prisma_client).find_many( + where=owner_filter, + take=chunk_size, + order=[{"created_at": "desc"}, {"unified_file_id": "desc"}], + **cursor_args, + ) + matches.extend( + parsed_file_object.model_copy(update={"id": row.unified_file_id}) + for row in chunk + if (parsed_file_object := _parse_managed_file_object(row.file_object, row.unified_file_id)) is not None + and (purpose is None or parsed_file_object.purpose == purpose) + ) + if len(chunk) < chunk_size: + break + cursor_id = chunk[-1].unified_file_id + chunk_size = max(chunk_size, FILE_LIST_CONTINUATION_CHUNK_SIZE) + + return FileListPage(**build_list_page(matches[:page_size], has_more=len(matches) > page_size)) def _is_batch_polling_enabled(self) -> bool: """ diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml index 8bbde7f3764..ccfe7eda5e2 100644 --- a/enterprise/pyproject.toml +++ b/enterprise/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm-enterprise" -version = "0.1.58" +version = "0.1.59" description = "Package for LiteLLM Enterprise features" readme = "README.md" requires-python = ">=3.9" @@ -26,7 +26,7 @@ required-version = ">=0.10.9" module-root = "" [tool.commitizen] -version = "0.1.58" +version = "0.1.59" version_files = [ "pyproject.toml:^version", "../pyproject.toml:litellm-enterprise==", diff --git a/gateway/Dockerfile b/gateway/Dockerfile index 223df524d7c..4a2e32e186e 100644 --- a/gateway/Dockerfile +++ b/gateway/Dockerfile @@ -1,5 +1,5 @@ -ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f -ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:42df77a9974d6ec8b17a5ee8bc23b532600a44d705acef2409e0933c1251b45f +ARG LITELLM_BUILD_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 +ARG LITELLM_RUNTIME_IMAGE=cgr.dev/chainguard/wolfi-base@sha256:a31344ab2cb8618db84f535eec56f76f6178b142cb92cb2e48676cc2dcebea72 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.11.7@sha256:240fb85ab0f263ef12f492d8476aa3a2e4e1e333f7d67fbdd923d00a506a516a FROM $UV_IMAGE AS uvbin diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260819000000_backfill_spend_log_timestamps/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20260819000000_backfill_spend_log_timestamps/migration.sql deleted file mode 100644 index 10003afa9db..00000000000 --- a/litellm-proxy-extras/litellm_proxy_extras/migrations/20260819000000_backfill_spend_log_timestamps/migration.sql +++ /dev/null @@ -1,4 +0,0 @@ -UPDATE "LiteLLM_SpendLogs" -SET "created_at" = "endTime", - "updated_at" = "endTime" -WHERE "created_at" > "endTime" + interval '1 hour'; diff --git a/litellm-proxy-extras/pyproject.toml b/litellm-proxy-extras/pyproject.toml index 26d42a33b29..98a3d8d535e 100644 --- a/litellm-proxy-extras/pyproject.toml +++ b/litellm-proxy-extras/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm-proxy-extras" -version = "0.4.88" +version = "0.4.89" description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package." readme = "README.md" requires-python = ">=3.9" @@ -26,7 +26,7 @@ required-version = ">=0.10.9" module-root = "" [tool.commitizen] -version = "0.4.88" +version = "0.4.89" version_files = [ "pyproject.toml:^version", "../pyproject.toml:litellm-proxy-extras==", diff --git a/litellm/_logging.py b/litellm/_logging.py index e55c6bc40a8..36fd51206c2 100644 --- a/litellm/_logging.py +++ b/litellm/_logging.py @@ -88,6 +88,24 @@ def redact_secrets(value: str) -> str: return _redact_string(value) +def _substituted_color_message(record: logging.LogRecord) -> str | None: + """Render a record's ``color_message`` against its args, or None if absent. + + uvicorn's colorized formatter re-renders `color_message` against + record.args at emit time (see uvicorn.logging.ColourizedFormatter) instead + of using the already-formatted record.msg, so it has to be substituted + before args are cleared or it is later formatted with no args and prints + the raw "%s://%s:%d" placeholders instead of the URL. + """ + color_message: Final = record.__dict__.get("color_message") + if not isinstance(color_message, str) or not record.args: + return None + try: + return color_message % record.args + except TypeError: + return color_message + + class SecretRedactionFilter(logging.Filter): """Scrubs known secret/credential patterns from log records.""" @@ -97,6 +115,12 @@ class SecretRedactionFilter(logging.Filter): if not _ENABLE_SECRET_REDACTION: return True + # Runs before args are cleared, and before the extra-field loop below + # that redacts the substituted result. + substituted_color_message: Final = _substituted_color_message(record) + if substituted_color_message is not None: + record.color_message = substituted_color_message # rebind-ok: a Filter scrubs records in place + try: record.msg = _redact_string(record.getMessage()) record.args = None diff --git a/litellm/_redis.py b/litellm/_redis.py index f3f3c4424de..58f37cf569d 100644 --- a/litellm/_redis.py +++ b/litellm/_redis.py @@ -665,8 +665,16 @@ def get_redis_async_client( cluster_kwargs.setdefault("health_check_interval", REDIS_CLUSTER_HEALTH_CHECK_INTERVAL) cluster_kwargs.setdefault("socket_keepalive", True) + # A single node's client-side timeout must reset only that node's connections, + # not tear down the whole cluster client for every concurrent caller. + from litellm.caching.redis_cluster_node_isolation import ( + get_litellm_async_redis_cluster_class, + ) + + async_redis_cluster_class: Final = get_litellm_async_redis_cluster_class() + # Create async RedisCluster with IAM token as password if available - cluster_client: Final = async_redis.RedisCluster( + cluster_client: Final = async_redis_cluster_class( startup_nodes=new_startup_nodes, **cluster_kwargs, ) diff --git a/litellm/batches/batch_utils.py b/litellm/batches/batch_utils.py index 0cf22d82ca6..6eb13d2cba7 100644 --- a/litellm/batches/batch_utils.py +++ b/litellm/batches/batch_utils.py @@ -296,6 +296,32 @@ def calculate_vertex_ai_batch_cost_and_usage( ) +def _provider_output_file_id(output_file_id: str) -> str: + """ + Resolve the file id the provider actually knows: unified ids yield their embedded + llm_output_file_id, model-encoded ids decode to the raw provider id, raw ids pass through. + """ + from litellm.proxy.openai_files_endpoints.common_utils import ( + _is_base64_encoded_unified_file_id, + get_original_file_id, + ) + + unified_file_id: Final = _is_base64_encoded_unified_file_id(output_file_id) + if not unified_file_id: + return get_original_file_id(output_file_id) + try: + extracted: Final = unified_file_id.split("llm_output_file_id,")[1].split(";")[0] + except (IndexError, AttributeError) as e: + verbose_logger.error( + "Failed to extract LLM output file ID from unified file ID: %s, error: %s", + output_file_id, + e, + ) + return output_file_id + verbose_logger.debug("Extracted LLM output file ID from unified file ID: %s", extracted) + return extracted + + async def _fetch_batch_output_file_content( batch: Batch, custom_llm_provider: Literal["openai", "azure", "vertex_ai", "hosted_vllm", "anthropic"] = "openai", @@ -311,23 +337,11 @@ async def _fetch_batch_output_file_content( Required for Azure and other providers that need authentication """ from litellm.files.main import afile_content - from litellm.proxy.openai_files_endpoints.common_utils import ( - _is_base64_encoded_unified_file_id, - ) if batch.output_file_id is None: raise ValueError("Output file id is None cannot retrieve file content") - file_id = batch.output_file_id - is_base64_unified_file_id: Final = _is_base64_encoded_unified_file_id(file_id) - if is_base64_unified_file_id: - try: - file_id = is_base64_unified_file_id.split("llm_output_file_id,")[1].split(";")[0] - verbose_logger.debug("Extracted LLM output file ID from unified file ID: %s", file_id) - except (IndexError, AttributeError) as e: - verbose_logger.error( - "Failed to extract LLM output file ID from unified file ID: %s, error: %s", batch.output_file_id, e - ) + file_id: Final = _provider_output_file_id(batch.output_file_id) # Build kwargs for afile_content with credentials from litellm_params file_content_kwargs: Final = { diff --git a/litellm/caching/redis_cluster_node_isolation.py b/litellm/caching/redis_cluster_node_isolation.py new file mode 100644 index 00000000000..8b0c120e80c --- /dev/null +++ b/litellm/caching/redis_cluster_node_isolation.py @@ -0,0 +1,173 @@ +"""Bounds the blast radius of a single node's transient connection error on the async +Redis Cluster client. + +redis-py's ``RedisCluster._execute_command`` responds to a ``ConnectionError`` or +``TimeoutError`` on ANY one node by tearing down every node's connections and flipping +the client into "needs reinitialization", which forces every other concurrent caller +sharing this client through one reinit lock until the whole cluster topology is +re-walked. Under real proxy load, a client-side socket timeout on a single node is a +routine event (the event loop was too busy to read the response before ``socket_timeout`` +elapsed) and does not mean the cluster's topology moved, so treating it as a full-cluster +event turns one slow node into a proxy-wide latency spike while Redis itself stays +healthy -- confirmed live: pausing one of three local cluster nodes made every concurrent +command against the other two, untouched nodes stall for the full pause duration too. + +``get_litellm_async_redis_cluster_class`` returns a ``RedisCluster`` subclass that resets +only the node that actually failed (mirroring what a plain, non-cluster Redis client +already does when one of its pooled connections errors), leaving every other node's +connections untouched. Every other branch (MOVED, ASK, CLUSTERDOWN, slot-not-covered, +retry-exhaustion) is unchanged from upstream, since those already carry real evidence the +topology changed. +""" + +import asyncio +from typing import TYPE_CHECKING, Final, Protocol + +from litellm._logging import verbose_logger + +if TYPE_CHECKING: + from redis.asyncio.cluster import RedisCluster as _AsyncRedisClusterType + + +class _ClusterNodeAttrs(Protocol): + """The subset of ``redis.asyncio.cluster.ClusterNode`` this override reads. redis-py + ships no resolvable stub for these members under the repo's current types-redis pin, + so a plain attribute access resolves every downstream use to ``Unknown`` under strict + mode; typing ``target_node`` as this Protocol at the one boundary keeps the override's + own logic fully typed without a banned ``typing.cast``.""" + + async def execute_command( + self, + *args: object, + **kwargs: object, # kwargs-ok: mirrors redis-py's own ClusterNode.execute_command signature, a raw command dispatch with no fixed keyword contract + ) -> object: ... + async def disconnect(self) -> None: ... + + +class _NodesManagerAttrs(Protocol): + _moved_exception: object + + def get_node_from_slot( + self, slot: int, read_from_replicas: bool, load_balancing_strategy: object + ) -> _ClusterNodeAttrs: ... + + +class _ClusterAttrs(Protocol): + RedisClusterRequestTTL: int + reinitialize_counter: int + reinitialize_steps: int + read_from_replicas: bool + load_balancing_strategy: object + nodes_manager: _NodesManagerAttrs + + def get_node(self, node_name: str) -> _ClusterNodeAttrs: ... + async def _determine_slot(self, *args: object) -> int: ... + async def aclose(self) -> None: ... + + +#: redis-py versions this override's copied ``_execute_command`` body has been verified +#: against. A version outside this set may have changed the method's structure in a way +#: this override can't see (Python won't error -- it'll just run our now-stale copy), so +#: construction logs a loud warning rather than silently trusting an unverified copy. +_VERIFIED_REDIS_VERSIONS: Final = frozenset({"5.3.1"}) + + +def get_litellm_async_redis_cluster_class() -> type["_AsyncRedisClusterType"]: + """Builds the ``RedisCluster`` subclass with the per-node isolation fix. + + Imported lazily because this module is reachable from a base ``import litellm`` while + redis is not a base dependency. Cheap to call repeatedly: the underlying redis + submodules are cached in ``sys.modules`` after the first import. + """ + import redis + from redis.asyncio.cluster import ( + RedisCluster as _BaseAsyncRedisCluster, # pyright: ignore[reportUnknownVariableType] # redis-py ships no resolvable stub for this class under the repo's current (stale) types-redis pin + ) + from redis.cluster import get_node_name + from redis.commands import READ_COMMANDS + from redis.exceptions import ( + AskError, + BusyLoadingError, + ClusterDownError, + ClusterError, + MaxConnectionsError, + MovedError, + SlotNotCoveredError, + TryAgainError, + ) + from redis.exceptions import ConnectionError as _RedisConnectionError + from redis.exceptions import TimeoutError as _RedisTimeoutError + + if redis.__version__ not in _VERIFIED_REDIS_VERSIONS: + verbose_logger.warning( + "redis-py %s is not in the set this cluster-teardown-storm fix was verified " + "against (%s). The per-node-isolation override may not match the installed library's " + "real _execute_command behavior.", + redis.__version__, + sorted(_VERIFIED_REDIS_VERSIONS), + ) + + class LiteLLMAsyncRedisCluster( + _BaseAsyncRedisCluster # pyright: ignore[reportUntypedBaseClass] # same stale-stub gap as the import above; the base class itself is unresolvable, not this subclass's own code + ): + async def _execute_command( + self, + target_node: _ClusterNodeAttrs, + *args: object, + **kwargs: object, # kwargs-ok: overrides redis-py's own **kwargs signature; the keyword contract is defined by the Redis command being dispatched, not by this method + ) -> object: + cluster: _ClusterAttrs = self + node = target_node + + asking = moved = False + redirect_addr: str | None = None + ttl = cluster.RedisClusterRequestTTL + + while ttl > 0: + ttl -= 1 + try: + if asking: + assert redirect_addr is not None + node = cluster.get_node(node_name=redirect_addr) + await node.execute_command("ASKING") + asking = False + elif moved: + slot = await cluster._determine_slot(*args) # pyright: ignore[reportPrivateUsage] # mirrors upstream's own un-overridden branch, which makes this identical private call from the same subclass + node = cluster.nodes_manager.get_node_from_slot( + slot, + cluster.read_from_replicas and args[0] in READ_COMMANDS, + (cluster.load_balancing_strategy if args[0] in READ_COMMANDS else None), + ) + moved = False + + return await node.execute_command(*args, **kwargs) + except (BusyLoadingError, MaxConnectionsError): + raise + except (_RedisConnectionError, _RedisTimeoutError): + # Reset only the node that actually failed instead of the upstream + # default (`await self.aclose()`, a full-cluster teardown that forces + # every other concurrent caller through the shared reinit lock). + await node.disconnect() + raise + except (ClusterDownError, SlotNotCoveredError): + await cluster.aclose() + await asyncio.sleep(0.25) + raise + except MovedError as e: + cluster.reinitialize_counter += 1 + if cluster.reinitialize_steps and cluster.reinitialize_counter % cluster.reinitialize_steps == 0: + await cluster.aclose() + cluster.reinitialize_counter = 0 + else: + cluster.nodes_manager._moved_exception = e # pyright: ignore[reportPrivateUsage] # mirrors upstream's own un-overridden branch; redis-py exposes no public setter for this + moved = True + except AskError as e: + redirect_addr = get_node_name(host=e.host, port=e.port) + asking = True + except TryAgainError: + if ttl < cluster.RedisClusterRequestTTL / 2: + await asyncio.sleep(0.05) + + raise ClusterError("TTL exhausted.") + + return LiteLLMAsyncRedisCluster diff --git a/litellm/constants.py b/litellm/constants.py index ec632435e45..aaaddd063e7 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -783,6 +783,7 @@ openai_compatible_endpoints: Final[list] = [ "https://pinstripes.io/v1", "https://api.meta.ai/v1", "https://api.cognition.ai/v1", + "https://api.scx.ai/v1", ] @@ -851,6 +852,7 @@ openai_compatible_providers: Final[list] = [ "darkbloom", "meta", # Meta Model API (Muse Spark) - JSON-configured provider "cognition", + "scx-ai", ] openai_text_completion_compatible_providers: Final[list] = [ # providers that support `/v1/completions` "together_ai", @@ -1354,6 +1356,8 @@ X_LITELLM_DISABLE_CALLBACKS: Final = "x-litellm-disable-callbacks" LITELLM_METADATA_FIELD: Final = "litellm_metadata" OLD_LITELLM_METADATA_FIELD: Final = "metadata" RETURN_RAW_MODEL_NAME_METADATA_KEY: Final = "_complexity_router_return_raw_model_name" +AUTO_ROUTED_REQUEST_METADATA_KEY: Final = "_auto_routed_request" +ROUTER_MODEL_NAME_RESPONSE_FIELD: Final = "router_model_name" SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY: Final = "_session_deployment_affinity_ttl" CONSUMED_REQUEST_TAGS_METADATA_KEY: Final = "_consumed_request_tags" INTERNAL_CALL_ORIGIN_METADATA_KEY: Final = "internal_call_origin" @@ -1534,9 +1538,12 @@ TOOL_SPEND_TOP_TOOLS: Final = 100 SPEND_LOG_PARTITION_INTERVAL: Final = os.getenv("SPEND_LOG_PARTITION_INTERVAL", "day") SPEND_LOG_PARTITION_PRECREATE_AHEAD: Final = int(os.getenv("SPEND_LOG_PARTITION_PRECREATE_AHEAD", 7)) SPEND_LOG_WRITE_BATCH_MAX_BYTES: Final = max(1, int(os.getenv("SPEND_LOG_WRITE_BATCH_MAX_BYTES", 2_000_000))) +SPEND_LOG_WRITE_BATCH_MAX_ROWS: Final = max(1, int(os.getenv("SPEND_LOG_WRITE_BATCH_MAX_ROWS", "100"))) SPEND_LOG_QUEUE_SIZE_THRESHOLD: Final = int(os.getenv("SPEND_LOG_QUEUE_SIZE_THRESHOLD", 100)) SPEND_LOG_QUEUE_MAX_BYTES: Final = max(1, int(os.getenv("SPEND_LOG_QUEUE_MAX_BYTES", "64000000"))) SPEND_LOG_QUEUE_POLL_INTERVAL: Final = float(os.getenv("SPEND_LOG_QUEUE_POLL_INTERVAL", 2.0)) +RESPONSES_SESSION_LOOKUP_MAX_ATTEMPTS: Final = max(1, int(os.getenv("RESPONSES_SESSION_LOOKUP_MAX_ATTEMPTS", "3"))) +RESPONSES_SESSION_LOOKUP_RETRY_INTERVAL: Final = float(os.getenv("RESPONSES_SESSION_LOOKUP_RETRY_INTERVAL", "0.2")) SPEND_COUNTER_RESEED_LOCKS_MAX_SIZE: Final = int(os.getenv("SPEND_COUNTER_RESEED_LOCKS_MAX_SIZE", 10000)) DEFAULT_CRON_JOB_LOCK_TTL_SECONDS: Final = int(os.getenv("DEFAULT_CRON_JOB_LOCK_TTL_SECONDS", 60)) # 1 minute PROXY_BUDGET_RESCHEDULER_MIN_TIME: Final = int(os.getenv("PROXY_BUDGET_RESCHEDULER_MIN_TIME", 597)) diff --git a/litellm/integrations/callback_configs.json b/litellm/integrations/callback_configs.json index 590c848767a..6d2bcea8bae 100644 --- a/litellm/integrations/callback_configs.json +++ b/litellm/integrations/callback_configs.json @@ -294,12 +294,18 @@ "id": "newrelic", "displayName": "New Relic", "logo": "newrelic.png", - "supports_key_team_logging": false, + "supports_key_team_logging": true, "dynamic_params": { - "NEW_RELIC_AI_MONITORING_RECORD_CONTENT_ENABLED": { + "newrelic_api_key": { + "type": "password", + "ui_name": "New Relic Ingest License Key", + "description": "Per-team ingest (license) key. Team traces export to this key's New Relic account over OTLP.", + "required": false + }, + "newrelic_region": { "type": "text", - "ui_name": "Record AI Content (default: true)", - "description": "Whether to record AI message content. Set to false to disable.", + "ui_name": "New Relic Region (us or eu)", + "description": "Data center region for this team's account. Defaults to us.", "required": false } }, diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py index a0c78674ac8..195eb85c07d 100644 --- a/litellm/integrations/custom_logger.py +++ b/litellm/integrations/custom_logger.py @@ -60,6 +60,25 @@ _BASE64_INLINE_PATTERN: Final = re.compile( class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callback#callback-class # Class variables or attributes + + enforces_request_content: bool = False + """ + Whether this hook's ``async_pre_call_hook`` judges the request payload itself. + + False for the accounting hooks, which count a request rather than read it: rate limits, + parallel slots, budgets, cache lookups. Those must run once per request and never once per + record of a batch upload, which would charge a caller once for every line of their file. + + Set it to True on a hook that inspects or rejects content, so that scanning a payload which + is not itself a request, such as one record of a batch input file, still reaches it. A + ``CustomGuardrail`` does not need it; guardrails are dispatched by their own branch. + + Judging content is necessary but not sufficient. A hook that also rewrites the payload for + routing, as the managed-files and managed-vector-store hooks do, stays False: a per-record + rewrite would read as a redaction and ship embedded in the record. Only the leaf class is + consulted, so a subclass that does not override ``async_pre_call_hook`` inherits nothing. + """ + def __init__( self, turn_off_message_logging: bool = False, diff --git a/litellm/integrations/otel/__init__.py b/litellm/integrations/otel/__init__.py index 9c1205bb277..d7627d4d63d 100644 --- a/litellm/integrations/otel/__init__.py +++ b/litellm/integrations/otel/__init__.py @@ -49,6 +49,7 @@ from litellm.integrations.otel.model.semconv import ( Error, GenAI, GenAIOperation, + GenAIOutputType, GenAIProvider, JsonRpc, LiteLLM, @@ -60,6 +61,7 @@ from litellm.integrations.otel.model.semconv import ( RpcSystem, Server, resolve_operation, + resolve_output_type, resolve_provider, ) from litellm.integrations.otel.model.spans import ( @@ -84,6 +86,7 @@ __all__ = [ "Error", "GenAI", "GenAIOperation", + "GenAIOutputType", "GenAIProvider", "GuardrailSpanData", "JsonRpc", @@ -116,6 +119,7 @@ __all__ = [ "is_otel_v2_enabled", "promoted_baggage", "resolve_operation", + "resolve_output_type", "resolve_provider", "span_role_for_service", "validate_registry", diff --git a/litellm/integrations/otel/emitter.py b/litellm/integrations/otel/emitter.py index 0850d867c7b..244e58eddf3 100644 --- a/litellm/integrations/otel/emitter.py +++ b/litellm/integrations/otel/emitter.py @@ -156,6 +156,12 @@ class SpanEmitter: links=list(links) if links else None, ) + def mark_emitted(self, dedup_key: str | None, role: SpanRole) -> None: + """Register a span emitted outside :meth:`emit` (the boundary-opened + LLM-call span closed via :meth:`finish_span`) so a later :meth:`emit` + for the same ``(dedup_key, role)`` deduplicates against it.""" + self._seen(dedup_key, role) + def _seen(self, dedup_key: str | None, role: SpanRole) -> bool: """Return True once a ``(dedup_key, role)`` pair has been emitted. diff --git a/litellm/integrations/otel/logger.py b/litellm/integrations/otel/logger.py index 53b9829023c..4359b222d06 100644 --- a/litellm/integrations/otel/logger.py +++ b/litellm/integrations/otel/logger.py @@ -484,10 +484,15 @@ class OpenTelemetryV2(CustomLogger): # ``pop`` is the dedup: this method runs from both the success and failure # paths, and whichever fires first removes the carrier and closes the span. carrier: Final = self._open_llm_calls.pop(call_id, None) if call_id else None - if carrier is None: + # A missing carrier does not always mean nothing happened: a team/key-scoped + # logger is a success/failure callback only, so ``pre_call`` never reaches it + # and no carrier exists. The payload plus the request-level provider-handoff + # stamp (``upstream_started``) is the affirmative signal of a real call; a + # gate rejection carries ``is_no_upstream_call`` and gets no span. + if carrier is None and (call.is_no_upstream_call or not call.upstream_started or call.payload is None): return None try: - return self._finish_carrier(carrier, call, end_time) + return self._finish_carrier(carrier, call, start_time, end_time) finally: # After the span has ended, so a release-triggered provider shutdown # force-flushes it out rather than racing its enqueue. @@ -497,8 +502,11 @@ class OpenTelemetryV2(CustomLogger): """Remember an in-flight LLM call, evicting the oldest if over budget. A call that opens but never closes (a stream that only fires stream - events) would linger otherwise; the evicted span is simply dropped - (never exported). + events) would linger otherwise. Eviction only drops the boundary carrier, + not the call: if that call later closes as a real completed call, it still + emits through the deferred branch in ``_close_llm_call`` (the same path a + team/key-scoped logger uses, since it never opens a carrier), deduplicated + by call id. Only a call that is evicted and never closes goes unexported. """ self._open_llm_calls[call_id] = carrier if len(self._open_llm_calls) > _OPEN_CALLS_MAX: @@ -512,15 +520,20 @@ class OpenTelemetryV2(CustomLogger): def _finish_carrier( self, - carrier: _LLMCallSpan, + carrier: "_LLMCallSpan | None", call: LLMCallEvent, + start_time: datetime | float | None, end_time: datetime | float | None, ) -> Span | None: payload: Final = call.payload + call_id: Final = call.call_id if payload is None: - if carrier.span is not None: + if carrier is not None and carrier.span is not None: # Opened at the boundary but the payload never materialized — end - # it (named provisionally) so it isn't leaked as an open span. + # it (named provisionally) so it isn't leaked as an open span, and + # register the dedup marker so a later payload-carrying close for + # the same call id cannot re-emit through the deferred branch. + self._emitter.mark_emitted(call_id, SpanRole.LLM_CALL) carrier.span.end(end_time=to_ns(end_time)) return None data: Final = LLMCallSpanData.from_standard_logging_payload( @@ -529,10 +542,13 @@ class OpenTelemetryV2(CustomLogger): time_to_first_chunk_seconds=call.time_to_first_chunk_seconds, ) end_time_ns: Final = to_ns(end_time) - if carrier.span is not None: + if carrier is not None and carrier.span is not None: # Born at the boundary: stamp attributes from the typed payload, set # status, and end it. Its parent (the server span) was captured at - # creation from real ambient context. + # creation from real ambient context. Register the dedup marker so a + # second close for the same call id (success then failure on one + # logging object) cannot re-emit through the deferred branch. + self._emitter.mark_emitted(call_id, SpanRole.LLM_CALL) self._emitter.finish_span(SpanRole.LLM_CALL, carrier.span, data, end_time_ns=end_time_ns) return carrier.span # Deferred: ``pre_call`` saw no recordable parent, so create the span now. @@ -549,7 +565,7 @@ class OpenTelemetryV2(CustomLogger): SpanRole.LLM_CALL, data, parent_context=(set_span_in_context(INVALID_SPAN, parent_ctx) if route.detached else parent_ctx), - start_time_ns=carrier.start_time_ns, + start_time_ns=(carrier.start_time_ns if carrier is not None else to_ns(start_time)), end_time_ns=end_time_ns, tracer=route.tracer, links=_request_trace_links(parent_ctx) if route.detached else None, diff --git a/litellm/integrations/otel/mappers/genai.py b/litellm/integrations/otel/mappers/genai.py index 79487e69ac4..5e3401cd62c 100644 --- a/litellm/integrations/otel/mappers/genai.py +++ b/litellm/integrations/otel/mappers/genai.py @@ -42,6 +42,7 @@ class GenAIMapper: _LLM_CALL_ATTRS: dict[str, Callable[[LLMCallSpanData], AttrValue | None]] = { GenAI.OPERATION_NAME: lambda d: d.operation.value, GenAI.PROVIDER_NAME: lambda d: d.provider or None, + GenAI.OUTPUT_TYPE: lambda d: d.output_type.value if d.output_type else None, GenAI.REQUEST_MODEL: lambda d: d.request_model or None, GenAI.REQUEST_TEMPERATURE: lambda d: d.request_params.temperature, GenAI.REQUEST_TOP_P: lambda d: d.request_params.top_p, @@ -65,6 +66,7 @@ class GenAIMapper: Server.ADDRESS: lambda d: d.server.address if d.server else None, Server.PORT: lambda d: d.server.port if d.server else None, LiteLLM.CALL_ID: lambda d: d.identity.call_id or None, + LiteLLM.CALL_TYPE: lambda d: d.call_type, # The provider/underlying model is only known once routing has picked a # deployment, so it can't ride identity Baggage (seeded at auth, before # routing) onto the boundary-born LLM span — stamp it directly here. diff --git a/litellm/integrations/otel/model/config.py b/litellm/integrations/otel/model/config.py index 53178b48991..9e3064c2bff 100644 --- a/litellm/integrations/otel/model/config.py +++ b/litellm/integrations/otel/model/config.py @@ -39,6 +39,7 @@ class ExporterOwner(str, Enum): WEAVE_OTEL = "weave_otel" LEVO = "levo" AGENTOPS = "agentops" + NEWRELIC = "newrelic" class _OTelV2Flag(BaseSettings): @@ -97,6 +98,15 @@ class ExporterSpec(BaseModel): "auto (Simple for console/in_memory, Batch otherwise)." ), ) + requires_headers: bool = Field( + default=False, + description=( + "Skip this exporter when no headers are resolved. For destinations " + "that reject unauthenticated exports (e.g. New Relic), a spec kept " + "only as the per-request credential-stamping target would otherwise " + "export keyless traffic and produce a 4xx for every span batch." + ), + ) class OpenTelemetryV2Config(BaseSettings): diff --git a/litellm/integrations/otel/model/metadata.py b/litellm/integrations/otel/model/metadata.py index de6366e7dbd..062b2ca20b4 100644 --- a/litellm/integrations/otel/model/metadata.py +++ b/litellm/integrations/otel/model/metadata.py @@ -203,6 +203,11 @@ class LLMCallEvent: # True for synthetic proxy-gate logs (auth / rate-limit rejections): they fire # the ``pre_call`` hook but never made an upstream call, so they get no span. is_no_upstream_call: bool + # True once the request handed off to a provider (``pre_call`` stamped + # ``api_call_start_time``). The affirmative signal that an LLM call was + # actually attempted — router pre-call rejections, SDK failures before the + # provider handoff, and standalone guardrail runs all lack it. + upstream_started: bool # A best-effort ``"{operation} {model}"`` name known at ``pre_call`` time. The # span is renamed from the typed payload at close (``finish_span``); this only # needs to be reasonable for a span that never gets closed (a leak). @@ -221,6 +226,7 @@ class LLMCallEvent: dynamic_params=kwargs.get("standard_callback_dynamic_params"), auth_metadata=auth_metadata(payload, kwargs), is_no_upstream_call=bool(kwargs.get(LITELLM_LOGGING_NO_UPSTREAM_LLM_CALL)), + upstream_started=kwargs.get("api_call_start_time") is not None, provisional_span_name=f"{operation.value} {model}".strip(), time_to_first_chunk_seconds=time_to_first_chunk_seconds(kwargs), ) diff --git a/litellm/integrations/otel/model/payloads.py b/litellm/integrations/otel/model/payloads.py index aba9cc80240..4e4ed4b7513 100644 --- a/litellm/integrations/otel/model/payloads.py +++ b/litellm/integrations/otel/model/payloads.py @@ -15,8 +15,10 @@ from litellm.integrations.otel.model.metadata import ( ) from litellm.integrations.otel.model.semconv import ( GenAIOperation, + GenAIOutputType, MCPMethod, resolve_operation, + resolve_output_type, resolve_provider, ) from litellm.integrations.otel.model.utils import ( @@ -310,6 +312,11 @@ class LLMCallSpanData: choices_out: tuple[Mapping[str, object], ...] = () system_fingerprint: str | None = None time_to_first_chunk_seconds: float | None = None + # The requested output modality, set only on the routes that pin one (image + # generation, speech, transcription, OCR), and the litellm route itself, which + # keeps routes the convention folds into one operation distinguishable. + output_type: GenAIOutputType | None = None + call_type: str | None = None @classmethod def from_standard_logging_payload( @@ -334,8 +341,9 @@ class LLMCallSpanData: # otherwise the content-bearing mappers receive empty sequences and emit # no prompt/response text. finish_reasons: Final = _finish_reasons(choices_out) + call_type: Final = as_str(payload.get("call_type")) return cls( - operation=resolve_operation(as_str(payload.get("call_type"))), + operation=resolve_operation(call_type), provider=resolve_provider(as_str(payload.get("custom_llm_provider"))), request_model=context.request_model, response_model=context.response_model, @@ -358,6 +366,8 @@ class LLMCallSpanData: choices_out=choices_out if capture_content else (), system_fingerprint=as_str(response.get("system_fingerprint")), time_to_first_chunk_seconds=time_to_first_chunk_seconds, + output_type=resolve_output_type(call_type), + call_type=call_type or None, ) diff --git a/litellm/integrations/otel/model/semconv.py b/litellm/integrations/otel/model/semconv.py index ada2822ba66..1647e0a5bd1 100644 --- a/litellm/integrations/otel/model/semconv.py +++ b/litellm/integrations/otel/model/semconv.py @@ -3,7 +3,9 @@ Keys follow the OpenTelemetry GenAI semantic conventions (experimental). Anythin without a semconv equivalent lives under the ``litellm.*`` vendor namespace. """ +from collections.abc import Mapping from enum import Enum +from types import MappingProxyType from typing import Final from litellm._logging import verbose_logger @@ -30,6 +32,21 @@ class GenAIOperation(str, Enum): EXECUTE_TOOL = "execute_tool" # MCP tool-call spans LITELLM_VECTOR_STORE_MANAGEMENT = "litellm.vector_store_management" LITELLM_VECTOR_STORE_FILE_MANAGEMENT = "litellm.vector_store_file_management" + LITELLM_MODERATION = "litellm.moderation" + + +class GenAIOutputType(str, Enum): + """Values for ``gen_ai.output.type``, the modality the client asked for. + + It is what separates the inference routes that share ``generate_content``: + image generation requests ``image``, speech requests ``speech``, and + transcription and OCR both request ``text``. + """ + + TEXT = "text" + JSON = "json" + IMAGE = "image" + SPEECH = "speech" class GenAIProvider(str, Enum): @@ -258,6 +275,11 @@ class LiteLLM: """Vendor-extension keys (no semconv equivalent). Always ``litellm.*``.""" CALL_ID: Final = "litellm.call_id" + # The litellm route that produced the call. Needed because the convention maps + # several routes onto one operation: transcription and OCR are both + # ``generate_content`` with a ``text`` output type, so this is the only thing + # that tells them apart. + CALL_TYPE: Final = "litellm.call_type" COST_PREFIX: Final = "litellm.cost." METADATA_PREFIX: Final = "litellm.metadata." TEAM_ID: Final = "litellm.team.id" @@ -352,6 +374,16 @@ _OPERATION_BY_CALL_TYPE: Final[dict[str, GenAIOperation]] = { "aembedding": GenAIOperation.EMBEDDINGS, "responses": GenAIOperation.CHAT, "aresponses": GenAIOperation.CHAT, + "image_generation": GenAIOperation.GENERATE_CONTENT, + "aimage_generation": GenAIOperation.GENERATE_CONTENT, + "moderation": GenAIOperation.LITELLM_MODERATION, + "amoderation": GenAIOperation.LITELLM_MODERATION, + "ocr": GenAIOperation.GENERATE_CONTENT, + "aocr": GenAIOperation.GENERATE_CONTENT, + "speech": GenAIOperation.GENERATE_CONTENT, + "aspeech": GenAIOperation.GENERATE_CONTENT, + "transcription": GenAIOperation.GENERATE_CONTENT, + "atranscription": GenAIOperation.GENERATE_CONTENT, "call_mcp_tool": GenAIOperation.EXECUTE_TOOL, "vector_store_search": GenAIOperation.RETRIEVAL, "avector_store_search": GenAIOperation.RETRIEVAL, @@ -385,6 +417,23 @@ _OPERATION_BY_CALL_TYPE: Final[dict[str, GenAIOperation]] = { } +# litellm ``call_type`` -> ``gen_ai.output.type``. Only the call types whose route +# fixes the requested modality are listed; the attribute is conditionally required +# on a request that asks for an output format, so anything else is left unstamped. +_OUTPUT_TYPE_BY_CALL_TYPE: Final[Mapping[str, GenAIOutputType]] = MappingProxyType( + { + "image_generation": GenAIOutputType.IMAGE, + "aimage_generation": GenAIOutputType.IMAGE, + "speech": GenAIOutputType.SPEECH, + "aspeech": GenAIOutputType.SPEECH, + "transcription": GenAIOutputType.TEXT, + "atranscription": GenAIOutputType.TEXT, + "ocr": GenAIOutputType.TEXT, + "aocr": GenAIOutputType.TEXT, + } +) + + def resolve_provider(custom_llm_provider: str | None) -> str: """Map a litellm provider string to a ``gen_ai.provider.name`` value. @@ -416,3 +465,11 @@ def resolve_operation(call_type: str | None) -> GenAIOperation: GenAIOperation.CHAT.value, ) return GenAIOperation.CHAT + + +def resolve_output_type(call_type: str | None) -> GenAIOutputType | None: + """Map a litellm ``call_type`` to a ``gen_ai.output.type`` value, or ``None`` + for a route that doesn't pin the output modality.""" + if not call_type: + return None + return _OUTPUT_TYPE_BY_CALL_TYPE.get(call_type.lower()) diff --git a/litellm/integrations/otel/plumbing/providers.py b/litellm/integrations/otel/plumbing/providers.py index 80a8d01c061..81b00f788ee 100644 --- a/litellm/integrations/otel/plumbing/providers.py +++ b/litellm/integrations/otel/plumbing/providers.py @@ -436,6 +436,8 @@ def build_tracer_provider( # ``config._normalize`` guarantees at least one spec (it folds the top-level # ``exporter``/``endpoint``/``headers`` fields in when ``exporters`` is empty). for spec in config.exporters: + if spec.requires_headers and not spec.headers: + continue exp = _exporter_from_spec(spec) provider.add_span_processor( _processor_for( diff --git a/litellm/integrations/otel/plumbing/routing.py b/litellm/integrations/otel/plumbing/routing.py index f231df9e914..6a04dbb9bc8 100644 --- a/litellm/integrations/otel/plumbing/routing.py +++ b/litellm/integrations/otel/plumbing/routing.py @@ -28,6 +28,7 @@ from litellm.integrations.otel.plumbing.providers import ( get_tracer, ) from litellm.integrations.otel.presets import ( + dynamic_otlp_endpoint, dynamic_otlp_headers, project_routing_headers, ) @@ -129,7 +130,9 @@ class TenantTracerCache: # thread-pool workers concurrently with the event loop, so cache # updates, span counts, and retirement must be atomic. self._lock: Final = threading.Lock() - self._providers: OrderedDict[tuple[_HeaderItems, _HeaderItems], TracerProvider] = OrderedDict() + self._providers: OrderedDict[tuple[_HeaderItems, _HeaderItems, str | None], TracerProvider] = ( + OrderedDict() # mutable-ok: bounded LRU; eviction needs in-place ordered mutation + ) self._open_span_counts: dict[TracerProvider, int] = {} # mutable-ok: live refcount state # Oldest-first so an overflow of draining providers sheds the stalest. self._retired: OrderedDict[TracerProvider, None] = OrderedDict() # mutable-ok: draining evicted providers @@ -182,12 +185,16 @@ class TenantTracerCache: project_headers: Final = self._project_headers(auth_metadata) if not credential_headers and not project_headers: return TenantRoute(tracer=default, detached=False) + # A fixed per-integration region endpoint (New Relic us/eu), never a + # caller-supplied host; ``None`` keeps the preset's own endpoint. + endpoint: Final = dynamic_otlp_endpoint(self._callback_name, dynamic_params) cache_key: Final = ( tuple(sorted(credential_headers.items())), tuple(sorted(project_headers.items())), + endpoint, ) with self._lock: - provider: Final = self._cached_provider_locked(cache_key, credential_headers, project_headers) + provider: Final = self._cached_provider_locked(cache_key, credential_headers, project_headers, endpoint) self._open_span_counts[provider] = self._open_span_counts.get(provider, 0) + 1 evicted: Final = self._evicted_on_overflow_locked() if evicted is not None: @@ -200,15 +207,16 @@ class TenantTracerCache: def _cached_provider_locked( self, - cache_key: tuple[_HeaderItems, _HeaderItems], + cache_key: tuple[_HeaderItems, _HeaderItems, str | None], credential_headers: Mapping[str, str], project_headers: Mapping[str, str], + endpoint: str | None, ) -> TracerProvider: cached: Final = self._providers.get(cache_key) if cached is not None: self._providers.move_to_end(cache_key) return cached - built: Final = build_tracer_provider(self._routed_config(credential_headers, project_headers)) + built: Final = build_tracer_provider(self._routed_config(credential_headers, project_headers, endpoint)) self._providers[cache_key] = built return built @@ -257,6 +265,7 @@ class TenantTracerCache: self, credential_headers: Mapping[str, str], project_headers: Mapping[str, str], + endpoint: str | None = None, ) -> OpenTelemetryV2Config: """Clone the config, rewriting headers on the callback's own exporter. @@ -272,7 +281,8 @@ class TenantTracerCache: ``Authorization``), which must survive routing to a project. """ exporters: Final = [ - self._routed_exporter(spec, credential_headers, project_headers) for spec in self._config.exporters + self._routed_exporter(spec, credential_headers, project_headers, endpoint) + for spec in self._config.exporters ] return self._config.model_copy(update={"exporters": exporters}) @@ -281,6 +291,7 @@ class TenantTracerCache: spec: ExporterSpec, credential_headers: Mapping[str, str], project_headers: Mapping[str, str], + endpoint: str | None = None, ) -> ExporterSpec: kind: Final = spec.kind.lower() if spec.owner != self._callback_name or kind in _NON_OTLP_KINDS: @@ -291,4 +302,10 @@ class TenantTracerCache: if project_headers and kind not in _GRPC_KINDS else base ) - return spec if routed == spec.headers else spec.model_copy(update={"headers": routed}) + update: Final = { # mutable-ok: model_copy(update=...) requires a plain dict + field: value + for field, value in (("headers", routed), ("endpoint", endpoint)) + if (field == "headers" and routed != spec.headers) + or (field == "endpoint" and endpoint is not None and endpoint != spec.endpoint) + } + return spec if not update else spec.model_copy(update=update) diff --git a/litellm/integrations/otel/presets/__init__.py b/litellm/integrations/otel/presets/__init__.py index 35b0584c697..a0cd5b3fd98 100644 --- a/litellm/integrations/otel/presets/__init__.py +++ b/litellm/integrations/otel/presets/__init__.py @@ -21,6 +21,11 @@ from litellm.integrations.otel.presets.langfuse import ( ) from litellm.integrations.otel.presets.langtrace import langtrace_preset from litellm.integrations.otel.presets.levo import levo_preset +from litellm.integrations.otel.presets.newrelic import ( + newrelic_dynamic_endpoint, + newrelic_dynamic_headers, + newrelic_preset, +) from litellm.integrations.otel.presets.phoenix import ( phoenix_preset, phoenix_project_headers, @@ -30,25 +35,45 @@ from litellm.types.utils import StandardCallbackDynamicParams #: Callback name → preset. The ``Preset`` annotation makes mypy verify every #: registered value matches the preset interface. -PRESET_BY_CALLBACK: Final[dict[str, Preset]] = { - "agentops": agentops_preset, - "arize": arize_preset, - "arize_phoenix": phoenix_preset, - "langfuse_otel": langfuse_preset, - "langtrace": langtrace_preset, - "levo": levo_preset, - "weave_otel": weave_preset, -} +PRESET_BY_CALLBACK: Final[Mapping[str, Preset]] = MappingProxyType( + { + "agentops": agentops_preset, + "arize": arize_preset, + "arize_phoenix": phoenix_preset, + "langfuse_otel": langfuse_preset, + "langtrace": langtrace_preset, + "levo": levo_preset, + "newrelic": newrelic_preset, + "weave_otel": weave_preset, + } +) #: Callback name → per-request OTLP header builder (team/key multi-tenant #: routing). Only integrations that support dynamic credentials appear here — #: Arize-Phoenix/Langtrace/Levo/AgentOps don't, so they use the logger's #: default tracer. -DYNAMIC_HEADERS_BY_CALLBACK: Final[dict[str, Callable[[StandardCallbackDynamicParams], dict[str, str]]]] = { - "arize": arize_dynamic_headers, - "langfuse_otel": langfuse_dynamic_headers, - "weave_otel": weave_dynamic_headers, -} +DYNAMIC_HEADERS_BY_CALLBACK: Final[Mapping[str, Callable[[StandardCallbackDynamicParams], dict[str, str]]]] = ( + MappingProxyType( + { + "arize": arize_dynamic_headers, + "langfuse_otel": langfuse_dynamic_headers, + "newrelic": newrelic_dynamic_headers, + "weave_otel": weave_dynamic_headers, + } + ) +) + +#: Callback name → per-request OTLP endpoint resolver. Only integrations whose +#: destination host varies per tenant (from a fixed region table, never a +#: caller-supplied URL) appear here; for everyone else the preset's endpoint is +#: authoritative. +DYNAMIC_ENDPOINT_BY_CALLBACK: Final[Mapping[str, Callable[[StandardCallbackDynamicParams], str | None]]] = ( + MappingProxyType( + { + "newrelic": newrelic_dynamic_endpoint, + } + ) +) #: Callback name → per-request *routing* header builder, sourced from the key/team @@ -98,17 +123,34 @@ def project_routing_headers( return builder(auth_metadata) +def dynamic_otlp_endpoint( + callback_name: str | None, + dynamic_params: StandardCallbackDynamicParams | None, +) -> str | None: + """Per-request OTLP endpoint for ``callback_name``, or ``None`` if N/A. + + ``None`` means "keep the preset's own endpoint". + """ + resolver: Final = DYNAMIC_ENDPOINT_BY_CALLBACK.get(callback_name or "") + if resolver is None or not dynamic_params: + return None + return resolver(dynamic_params) + + __all__ = [ + "DYNAMIC_ENDPOINT_BY_CALLBACK", "DYNAMIC_HEADERS_BY_CALLBACK", "PRESET_BY_CALLBACK", "PROJECT_HEADERS_BY_CALLBACK", "Preset", "agentops_preset", "arize_preset", + "dynamic_otlp_endpoint", "dynamic_otlp_headers", "langfuse_preset", "langtrace_preset", "levo_preset", + "newrelic_preset", "phoenix_preset", "project_routing_headers", "weave_preset", diff --git a/litellm/integrations/otel/presets/newrelic.py b/litellm/integrations/otel/presets/newrelic.py new file mode 100644 index 00000000000..4660a707355 --- /dev/null +++ b/litellm/integrations/otel/presets/newrelic.py @@ -0,0 +1,104 @@ +"""New Relic preset — OTLP/HTTP exporter to New Relic + GenAI vocabulary.""" + +from collections.abc import Mapping +from types import MappingProxyType +from typing import Final + +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + +from litellm._logging import verbose_logger +from litellm.integrations.otel.model.config import ( + ExporterOwner, + ExporterSpec, + OpenTelemetryV2Config, +) +from litellm.integrations.otel.presets.utils import ensure_mappers +from litellm.types.utils import StandardCallbackDynamicParams + +#: Region -> OTLP base endpoint. A fixed table by design: team config picks a +#: region enum rather than a free-form endpoint, so callback vars can never +#: redirect telemetry to an arbitrary host. +NEWRELIC_OTLP_ENDPOINT_BY_REGION: Final[Mapping[str, str]] = MappingProxyType( + { + "us": "https://otlp.nr-data.net", + "eu": "https://otlp.eu01.nr-data.net", + } +) + +_DEFAULT_REGION: Final = "us" + + +class _NewRelicSettings(BaseSettings): + model_config = SettingsConfigDict(case_sensitive=False, extra="ignore") + + # The same env vars the agent-based integration documents; the key is the + # operator-level fallback for traffic without team credentials, the region + # picks that fallback's data center, and the record-content flag keeps its + # documented meaning when the OTel path replaces the agent. + license_key: str | None = Field(default=None, validation_alias="NEW_RELIC_LICENSE_KEY") + region: str | None = Field(default=None, validation_alias="NEW_RELIC_REGION") + record_content: bool | None = Field(default=None, validation_alias="NEW_RELIC_AI_MONITORING_RECORD_CONTENT_ENABLED") + + +def newrelic_preset( + *, + config_overrides: OpenTelemetryV2Config | None = None, +) -> OpenTelemetryV2Config: + settings: Final = _NewRelicSettings() + base: Final = config_overrides or OpenTelemetryV2Config() + endpoint: Final = NEWRELIC_OTLP_ENDPOINT_BY_REGION.get( + (settings.region or _DEFAULT_REGION).lower(), NEWRELIC_OTLP_ENDPOINT_BY_REGION[_DEFAULT_REGION] + ) + return base.model_copy( + update={ + "exporters": [ + *base.exporters, + ExporterSpec( + kind="otlp_http", + endpoint=endpoint, + headers=(f"api-key={settings.license_key}" if settings.license_key else None), + owner=ExporterOwner.NEWRELIC, + requires_headers=True, + ), + ], + # New Relic ingests the OTLP GenAI semantic conventions natively. + "mapper_names": ensure_mappers(base.mapper_names, "genai"), + **( + {"capture_message_content": ("span_only" if settings.record_content else "no_content")} + if settings.record_content is not None + else {} + ), + } + ) + + +def newrelic_dynamic_headers(params: StandardCallbackDynamicParams) -> dict[str, str]: + """Per-request New Relic OTLP headers from team/key dynamic params.""" + api_key: Final = params.get("newrelic_api_key") + return {header: value for header, value in (("api-key", api_key),) if value} + + +def newrelic_dynamic_endpoint(params: StandardCallbackDynamicParams) -> str: + """Per-request OTLP endpoint for the team's ``newrelic_region``. + + Always the team's own region endpoint, defaulting to US when the team left + the region unset. It never falls through to the preset's endpoint, which + follows the operator's ``NEW_RELIC_REGION`` env; a team that saved only its + ingest key must not inherit the operator's region and have its US-account + spans rejected by an EU-configured default (or vice versa). An unknown + region likewise resolves to the documented US default rather than a guess. + """ + region: Final = params.get("newrelic_region") + default_endpoint: Final = NEWRELIC_OTLP_ENDPOINT_BY_REGION[_DEFAULT_REGION] + if not region: + return default_endpoint + endpoint: Final = NEWRELIC_OTLP_ENDPOINT_BY_REGION.get(region.lower()) + if endpoint is None: + verbose_logger.warning( + "New Relic: unknown newrelic_region %r; supported regions: %s. Using the default (US) endpoint.", + region, + ", ".join(sorted(NEWRELIC_OTLP_ENDPOINT_BY_REGION)), + ) + return default_endpoint + return endpoint diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index 76066f4a305..f9195db1d67 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -215,7 +215,9 @@ class PrometheusLogger(CustomLogger): # request latency metrics self.litellm_request_total_latency_metric = self._histogram_factory( "litellm_request_total_latency_metric", - "Total latency (seconds) for a request to LiteLLM", + "End-to-end latency (seconds) for a request to LiteLLM Proxy Server, from the moment " + "the request reached the proxy through the end of processing -- includes " + "authentication, pre-call hooks, the LLM API call, and post-call processing", labelnames=self.get_labels_for_metric("litellm_request_total_latency_metric"), buckets=self.latency_buckets, ) @@ -458,7 +460,8 @@ class PrometheusLogger(CustomLogger): # Request queue time metric self.litellm_request_queue_time_metric = self._histogram_factory( "litellm_request_queue_time_seconds", - "Time spent in request queue before processing starts (seconds)", + "Time (seconds) from request arrival at the proxy to the start of pre-call " + "processing -- includes authentication and any ASGI-level queueing", labelnames=self.get_labels_for_metric("litellm_request_queue_time_seconds"), buckets=self.latency_buckets, ) @@ -2078,27 +2081,37 @@ class PrometheusLogger(CustomLogger): _labels, ) - # total request latency + # request queue time (time from arrival to processing start) -- read first so + # it can be folded into the total-latency metric below. start_time/end_time + # only span from after auth completes, so without this the "total" latency + # metric silently excludes auth and pre-call hook time. + _litellm_params: Final = kwargs.get("litellm_params", {}) or {} + queue_time_seconds: Final = (_litellm_params.get("metadata") or {}).get("queue_time_seconds") + + # total request latency: true end-to-end, from request arrival (queue_time_seconds, + # when available) through the end of processing. total_time_seconds: Final = self._safe_duration_seconds( start_time=start_time, end_time=end_time, ) if total_time_seconds is not None: + _observed_total_time_seconds: Final = ( + total_time_seconds + queue_time_seconds + if queue_time_seconds is not None and queue_time_seconds >= 0 + else total_time_seconds + ) _labels = prometheus_label_factory( supported_enum_labels=self.get_labels_for_metric(metric_name="litellm_request_total_latency_metric"), enum_values=enum_values, label_context=label_context, ) - self.litellm_request_total_latency_metric.labels(**_labels).observe(total_time_seconds) + self.litellm_request_total_latency_metric.labels(**_labels).observe(_observed_total_time_seconds) self._track_end_user_metric_series( self.litellm_request_total_latency_metric, "litellm_request_total_latency_metric", _labels, ) - # request queue time (time from arrival to processing start) - _litellm_params: Final = kwargs.get("litellm_params", {}) or {} - queue_time_seconds: Final = (_litellm_params.get("metadata") or {}).get("queue_time_seconds") if queue_time_seconds is not None and queue_time_seconds >= 0: _labels = prometheus_label_factory( supported_enum_labels=self.get_labels_for_metric(metric_name="litellm_request_queue_time_seconds"), diff --git a/litellm/integrations/websearch_interception/ARCHITECTURE.md b/litellm/integrations/websearch_interception/ARCHITECTURE.md index ce7f01c5a2a..4ea7a7ae527 100644 --- a/litellm/integrations/websearch_interception/ARCHITECTURE.md +++ b/litellm/integrations/websearch_interception/ARCHITECTURE.md @@ -207,6 +207,59 @@ response = await litellm.messages.acreate( --- +## Loop Ceiling + +One intercepted request can chain several follow-up model calls, since the model often searches again after +reading the first set of results. `max_agentic_loops` caps how many of those follow-ups run, and it defaults +to 3. LiteLLM also breaks the loop early when the model asks for the exact same tool call twice in a row. + +Set the ceiling on the feature, which the interceptor applies to `/v1/messages` requests: + +```yaml +litellm_settings: + websearch_interception_params: + enabled_providers: ["bedrock"] + max_agentic_loops: 5 +``` + +Or per deployment, which wins over the feature-level setting: + +```yaml +model_list: + - model_name: claude-sonnet-4-5 + litellm_params: + model: bedrock/us.anthropic.claude-sonnet-4-5-20250929-v1:0 + max_agentic_loops: 5 +``` + +Clients cannot set it. `max_agentic_loops` is on the proxy's untrusted-field list, so a request body that +carries it is ignored and one request can never drive an unbounded number of upstream model calls. + +Both places are validated at config load, and a value that is not an integer of at least 1 stops the proxy +from starting rather than surfacing later. The per-deployment one is checked while the model list is read, +not on `LiteLLM_Params`, because the proxy builds its router with `ignore_invalid_deployments=True` and a +validator down there would drop the deployment silently instead of refusing to start. + +When the ceiling is reached on a non-streaming `/v1/messages` request, the turn ends there and the client gets +the last response back with the internal `litellm_web_search` tool call removed and `stop_reason: end_turn`. +The client never declared that tool, so leaving the block in would hand it a tool call it has no way to answer. +The answer can be less complete than it would have been with more loops, which is the tradeoff the ceiling +buys. Where the refused call was the only block left, the turn comes back with no text in it at all. + +Non-streaming is not a limitation on the client here, because a client that asked for a stream gets the same +treatment. Interception converts an intercepted `stream=True` request to non-streaming before the loop runs and +rebuilds the SSE stream from the finalized turn afterwards, so the ceiling is always reached on a response the +client has not seen yet. `AgenticStreamingIterator` is the one caller that reaches the loop with its events +already on the wire, and it keeps raising, because a finalized turn would arrive there as a second message +rather than as a replacement. + +Two other surfaces do not get that treatment yet. `/v1/responses` returns its own shape that the finalizer does +not rewrite, so it still hands back the internal call. And `/v1/chat/completions` runs its own copy of these +rails in `litellm_core_utils/chat_completion_agentic_loop.py`, which still raises rather than ending the turn. +Both are tracked separately + +--- + ## Streaming Support WebSearch interception works transparently with both streaming and non-streaming requests. diff --git a/litellm/integrations/websearch_interception/handler.py b/litellm/integrations/websearch_interception/handler.py index e59ef0449d0..13a16947fb4 100644 --- a/litellm/integrations/websearch_interception/handler.py +++ b/litellm/integrations/websearch_interception/handler.py @@ -31,6 +31,9 @@ from litellm.integrations.websearch_interception.tools import ( from litellm.integrations.websearch_interception.transformation import ( WebSearchTransformation, ) +from litellm.litellm_core_utils.agentic_loop_settings import ( + validated_max_agentic_loops, +) from litellm.llms.base_llm.search.transformation import SearchResponse from litellm.types.integrations.custom_logger import ( CHAT_COMPLETION_AGENTIC_SURFACE, @@ -122,6 +125,7 @@ class WebSearchInterceptionLogger(CustomLogger): self, enabled_providers: list[LlmProviders | str] | None = None, search_tool_name: str | None = None, + max_agentic_loops: int | None = None, ): """ Args: @@ -131,6 +135,9 @@ class WebSearchInterceptionLogger(CustomLogger): Default: None (all providers enabled) search_tool_name: Name of search tool configured in router's search_tools. If None, will attempt to use first available search tool. + max_agentic_loops: How many follow-up model calls one intercepted request + may chain before the loop is refused and the turn ends. + If None, LiteLLM's default of 3 applies. """ super().__init__() # Convert enum values to strings for comparison @@ -139,8 +146,16 @@ class WebSearchInterceptionLogger(CustomLogger): else: self.enabled_providers = [p.value if isinstance(p, LlmProviders) else p for p in enabled_providers] self.search_tool_name = search_tool_name + self.max_agentic_loops = self._validated_max_agentic_loops(max_agentic_loops) self._request_has_websearch = False # Track if current request has web search + @staticmethod + def _validated_max_agentic_loops(max_agentic_loops: object) -> int | None: + """ + Reject loop ceilings the agentic loop cannot honor, at config load time. + """ + return validated_max_agentic_loops(max_agentic_loops, field="websearch_interception_params.max_agentic_loops") + async def try_short_circuit_search( self, model: str, @@ -398,6 +413,7 @@ class WebSearchInterceptionLogger(CustomLogger): websearch_interception_params: enabled_providers: ["bedrock"] search_tool_name: "my-perplexity-search" + max_agentic_loops: 5 Usage: config = litellm_settings.get("websearch_interception_params", {}) @@ -406,6 +422,7 @@ class WebSearchInterceptionLogger(CustomLogger): # Extract parameters from config enabled_providers_str: Final = config.get("enabled_providers", None) search_tool_name: Final = config.get("search_tool_name", None) + max_agentic_loops: Final = config.get("max_agentic_loops", None) # Convert string provider names to LlmProviders enum values enabled_providers: list[LlmProviders | str] | None = None @@ -423,6 +440,7 @@ class WebSearchInterceptionLogger(CustomLogger): return cls( enabled_providers=enabled_providers, search_tool_name=search_tool_name, + max_agentic_loops=max_agentic_loops, ) @staticmethod @@ -493,6 +511,10 @@ class WebSearchInterceptionLogger(CustomLogger): verbose_logger.debug("WebSearchInterception: Pre-request hook triggered for provider=%s", custom_llm_provider) + deployment_max_agentic_loops: Final = kwargs.get("max_agentic_loops") + if self.max_agentic_loops is not None and deployment_max_agentic_loops is None: + kwargs["max_agentic_loops"] = self.max_agentic_loops # rebind-ok: this hook returns the kwargs it edits + # If the client sent an Anthropic-native web_search_* tool, mark the # request so the agentic loop emits native web_search_tool_result # blocks in the final response (for citations panels, etc.). The flag diff --git a/litellm/litellm_core_utils/agentic_loop_settings.py b/litellm/litellm_core_utils/agentic_loop_settings.py new file mode 100644 index 00000000000..3dd8d437aef --- /dev/null +++ b/litellm/litellm_core_utils/agentic_loop_settings.py @@ -0,0 +1,59 @@ +""" +Shared validation for the agentic loop ceiling. + +``max_agentic_loops`` can be set in two places, and the two disagreed about +what a bad value means. The feature-level +``litellm_settings.websearch_interception_params.max_agentic_loops`` was +checked at config load, while a per-deployment +``model_list[].litellm_params.max_agentic_loops`` was passed straight through +to ``int(... or 3)``. That let a per-deployment ``0`` read as the default 3, +turning the tightest ceiling into the loosest one, and let a per-deployment +``"three"`` boot the proxy and then fail every request to that model. + +Both settings now go through :func:`validated_max_agentic_loops`, which names +the field it rejected so the error says which line of the config to fix. + +Anything that spells a whole number is still accepted, because the old +``int(... or 3)`` accepted those and a ceiling is routinely parameterized as +``max_agentic_loops: os.environ/MAX_AGENTIC_LOOPS``, which resolves to a +string. Rejecting ``"5"`` would stop such a proxy from booting on upgrade. +""" + +from typing import Final + +DEFAULT_MAX_AGENTIC_LOOPS: Final = 3 + + +def _as_whole_number(value: object) -> int | None: + """ + Return ``value`` as an int when it spells a whole number, else ``None``. + + ``bool`` is excluded explicitly because it is an ``int`` subclass, so + ``max_agentic_loops: true`` would otherwise be read as a ceiling of 1. + """ + if isinstance(value, bool): + return None + if isinstance(value, int): + return value + if isinstance(value, float): + return int(value) if value.is_integer() else None + if isinstance(value, str): + try: + return int(value.strip()) + except ValueError: + return None + return None + + +def validated_max_agentic_loops(max_agentic_loops: object, field: str) -> int | None: + """ + Return ``max_agentic_loops`` as an int, or raise naming ``field``. + """ + if max_agentic_loops is None: + return None + ceiling: Final = _as_whole_number(max_agentic_loops) + if ceiling is None: + raise TypeError(f"{field} must be an integer, got {max_agentic_loops!r}") + if ceiling < 1: + raise ValueError(f"{field} must be at least 1, got {ceiling}") + return ceiling diff --git a/litellm/litellm_core_utils/chat_completion_agentic_loop.py b/litellm/litellm_core_utils/chat_completion_agentic_loop.py index b91c1785a54..07bed1f88ad 100644 --- a/litellm/litellm_core_utils/chat_completion_agentic_loop.py +++ b/litellm/litellm_core_utils/chat_completion_agentic_loop.py @@ -5,6 +5,10 @@ from typing import Final, cast from litellm._logging import verbose_logger from litellm.integrations.custom_logger import CustomLogger +from litellm.litellm_core_utils.agentic_loop_settings import ( + DEFAULT_MAX_AGENTIC_LOOPS, + validated_max_agentic_loops, +) from litellm.types.integrations.custom_logger import ( CHAT_COMPLETION_AGENTIC_SURFACE, NON_CODE_INTERPRETER_INTERCEPTION_INTERNAL_PREFIXES, @@ -52,7 +56,10 @@ def _coerce_int(value: object, default: int) -> int: def _agentic_loop_settings(kwargs: dict[str, object]) -> tuple[int, int, list[str]]: depth: Final = _coerce_int(kwargs.get("_agentic_loop_depth"), 0) - max_loops: Final = max(_coerce_int(kwargs.get("max_agentic_loops"), 3), 1) + configured: Final = validated_max_agentic_loops( + kwargs.get("max_agentic_loops"), field="litellm_params.max_agentic_loops" + ) + max_loops: Final = DEFAULT_MAX_AGENTIC_LOOPS if configured is None else configured raw_fingerprints: Final = kwargs.get("_agentic_loop_fingerprints") fingerprints: Final = [str(fp) for fp in raw_fingerprints] if isinstance(raw_fingerprints, list) else [] return depth, max_loops, fingerprints diff --git a/litellm/litellm_core_utils/exception_mapping_utils.py b/litellm/litellm_core_utils/exception_mapping_utils.py index d23466938f2..4a25eb218c0 100644 --- a/litellm/litellm_core_utils/exception_mapping_utils.py +++ b/litellm/litellm_core_utils/exception_mapping_utils.py @@ -811,6 +811,24 @@ def _map_openai_like_exception( ) +_BEDROCK_MANTLE_CONTEXT_WINDOW_PATTERN: Final = re.compile(r"prompt tokens \((\d+)\) exceed model maximum \((\d+)\)") + + +def _get_bedrock_mantle_context_window_message(error_str: str) -> str | None: + """ + Mantle reports context overflow as a structured validation error rather than + the plain-text patterns Bedrock itself uses, so it needs its own detection and a + message clients recognize as context overflow (litellm/litellm#36546). + """ + if "invalid_request_error" not in error_str and "validation_error" not in error_str: + return None + match = _BEDROCK_MANTLE_CONTEXT_WINDOW_PATTERN.search(error_str) + if match is None: + return None + prompt_tokens, max_tokens = match.groups() + return f"prompt is too long: {prompt_tokens} tokens > {max_tokens} maximum" + + def _map_bedrock_exception( *, model: str, @@ -821,6 +839,14 @@ def _map_bedrock_exception( exception_provider: str, extra_information: str, ) -> None: + if custom_llm_provider == "bedrock_mantle": + mantle_context_window_message = _get_bedrock_mantle_context_window_message(error_str) + if mantle_context_window_message is not None: + raise ContextWindowExceededError( + message=mantle_context_window_message, + model=model, + llm_provider=custom_llm_provider, + ) if ( "too many tokens" in error_str or "expected maxLength:" in error_str @@ -2315,7 +2341,7 @@ def exception_type( exception_provider=exception_provider, extra_information=extra_information, ) - elif custom_llm_provider == "bedrock": + elif custom_llm_provider in ("bedrock", "bedrock_mantle"): _map_bedrock_exception( model=model, original_exception=mappable_exception, diff --git a/litellm/litellm_core_utils/get_provider_specific_headers.py b/litellm/litellm_core_utils/get_provider_specific_headers.py index ab07a6af1b3..2618aee9afa 100644 --- a/litellm/litellm_core_utils/get_provider_specific_headers.py +++ b/litellm/litellm_core_utils/get_provider_specific_headers.py @@ -1,3 +1,4 @@ +from collections.abc import Sequence from typing import Final from litellm.types.utils import ProviderSpecificHeader @@ -6,13 +7,17 @@ from litellm.types.utils import ProviderSpecificHeader class ProviderSpecificHeaderUtils: @staticmethod def get_provider_specific_headers( - provider_specific_header: ProviderSpecificHeader | None, + provider_specific_header: ProviderSpecificHeader | Sequence[ProviderSpecificHeader] | None, custom_llm_provider: str | None, ) -> dict: """ Get the provider specific headers for the given custom llm provider. - Supports comma-separated provider lists for headers that work across multiple providers. + Accepts either a single ProviderSpecificHeader or a sequence of them. Each entry + carries its own comma-separated provider list, so headers that are safe for several + providers and headers that are safe for exactly one can travel on the same request + without sharing a scope. Entries whose provider list does not contain + `custom_llm_provider` contribute nothing. Returns: Dict: The provider specific headers for the given custom llm provider @@ -20,10 +25,15 @@ class ProviderSpecificHeaderUtils: if provider_specific_header is None or custom_llm_provider is None: return {} - stored_providers: Final = provider_specific_header.get("custom_llm_provider", "") - provider_list: Final = [p.strip() for p in stored_providers.split(",")] + scoped_headers: Final = ( + (provider_specific_header,) if isinstance(provider_specific_header, dict) else provider_specific_header + ) - if custom_llm_provider in provider_list: - return provider_specific_header.get("extra_headers", {}) + matched_headers: Final = {} + for scoped_header in scoped_headers: + stored_providers = scoped_header.get("custom_llm_provider", "") + provider_list = [p.strip() for p in stored_providers.split(",")] + if custom_llm_provider in provider_list: + matched_headers.update(scoped_header.get("extra_headers", {})) - return {} + return matched_headers diff --git a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py index 284989ab20f..3b42ca4eaaf 100644 --- a/litellm/litellm_core_utils/initialize_dynamic_callback_params.py +++ b/litellm/litellm_core_utils/initialize_dynamic_callback_params.py @@ -46,7 +46,7 @@ def validate_no_callback_env_reference(param: str, value: object, *, source: str # Hardcoded list of supported callback params to avoid runtime inspection issues with TypedDict -_supported_callback_params: Final = [ +_supported_callback_params: Final[tuple[str, ...]] = ( "langfuse_public_key", "langfuse_secret", "langfuse_secret_key", @@ -72,8 +72,10 @@ _supported_callback_params: Final = [ "dd_site", "dd_agent_host", "dd_agent_port", + "newrelic_api_key", + "newrelic_region", "turn_off_message_logging", -] +) _request_blocked_callback_params: Final = frozenset( { @@ -83,6 +85,20 @@ _request_blocked_callback_params: Final = frozenset( "dd_site", "dd_agent_host", "dd_agent_port", + "newrelic_api_key", + "newrelic_region", + } +) + +# Request-blocked params that must still reach ``standard_callback_dynamic_params`` +# when the proxy itself stamped them from admin-configured team/key callback +# settings (the trusted-vars channel). The OTel per-tenant tracer routing reads +# ``standard_callback_dynamic_params``, so without this overlay a blocked param +# could never drive routing at all. +_trusted_overlay_callback_params: Final = frozenset( + { + "newrelic_api_key", + "newrelic_region", } ) @@ -121,7 +137,9 @@ def initialize_standard_callback_dynamic_params( if param in kwargs: _param_value = kwargs.get(param) validate_no_callback_env_reference(param, _param_value, source="request body") - standard_callback_dynamic_params[param] = _param_value + standard_callback_dynamic_params[param] = ( # pyright: ignore[reportGeneralTypeIssues] # several supported params predate their StandardCallbackDynamicParams fields + _param_value + ) for slot_label, metadata in iter_client_callback_metadata_dicts(kwargs): for param in _supported_callback_params: @@ -130,6 +148,12 @@ def initialize_standard_callback_dynamic_params( if param not in standard_callback_dynamic_params and param in metadata: _param_value = metadata.get(param) validate_no_callback_env_reference(param, _param_value, source=slot_label) - standard_callback_dynamic_params[param] = _param_value + standard_callback_dynamic_params[param] = ( # pyright: ignore[reportGeneralTypeIssues] # several supported params predate their StandardCallbackDynamicParams fields + _param_value + ) + + for param, trusted_value in get_trusted_callback_params(kwargs): + if param in _trusted_overlay_callback_params: + standard_callback_dynamic_params[param] = trusted_value return standard_callback_dynamic_params diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index 9b7707eabe1..3ad4c187b6d 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -4503,6 +4503,9 @@ def _init_custom_logger_compatible_class( _in_memory_loggers.append(gitlab_logger) return gitlab_logger elif logging_integration == "newrelic": + _v2 = _maybe_construct_otel_v2("newrelic", _in_memory_loggers) + if _v2 is not None: + return _v2 for callback in _in_memory_loggers: if isinstance(callback, NewRelicLogger): return callback @@ -4789,7 +4792,11 @@ def get_custom_logger_compatible_class( if isinstance(callback, SMTPEmailLogger): return callback elif logging_integration == "newrelic": + from litellm.integrations.otel.logger import OpenTelemetryV2 + for callback in _in_memory_loggers: + if isinstance(callback, OpenTelemetryV2) and callback.callback_name == "newrelic": + return callback if isinstance(callback, NewRelicLogger): return callback return None @@ -5615,6 +5622,37 @@ def _extract_response_obj_and_hidden_params( return response_obj, hidden_params +def _autorouter_savings_for_payload( + request_metadata: Mapping[str, object], + model: str | None, + custom_llm_provider: str | None, + model_id: str | None, + usage_object: Mapping[str, object] | None, + cost_breakdown: Mapping[str, object] | None, +) -> float | None: + """The auto-router savings figure for the payload, or ``None`` when there is none. + + Lazy proxy import: the savings module lives with the spend trackers that own the + math, and SDK-only installs have no proxy package to import. + """ + try: + from litellm.proxy.spend_tracking.savings import autorouter_savings_for_logging_payload + except Exception: # noqa: BLE001 # SDK-only install: no savings driver to run + return None + try: + return autorouter_savings_for_logging_payload( + request_metadata=request_metadata, + model=model, + custom_llm_provider=custom_llm_provider, + model_id=model_id, + usage_object=usage_object, + cost_breakdown=cost_breakdown, + ) + except Exception as e: # noqa: BLE001 # a savings figure must never fail request logging + verbose_logger.debug("autorouter savings skipped on logging payload: %s", e) + return None + + def get_standard_logging_object_payload( kwargs: dict | None, init_response_obj: Any | BaseModel | dict, @@ -5772,6 +5810,16 @@ def get_standard_logging_object_payload( ): model_name = response_model_name + request_cost_breakdown: Final = cost_breakdown_with_guardrail(logging_obj.cost_breakdown, guardrail_cost) + autorouter_savings: Final = _autorouter_savings_for_payload( + request_metadata=metadata, + model=model_name, + custom_llm_provider=custom_llm_provider, + model_id=_model_id, + usage_object=usage_dict, + cost_breakdown=request_cost_breakdown, + ) + payload: Final[StandardLoggingPayload] = StandardLoggingPayload( id=str(id), litellm_call_id=kwargs.get("litellm_call_id") or litellm_params.get("litellm_call_id"), @@ -5802,7 +5850,8 @@ def get_standard_logging_object_payload( metadata=clean_metadata, cache_key=clean_hidden_params["cache_key"], response_cost=response_cost, - cost_breakdown=cost_breakdown_with_guardrail(logging_obj.cost_breakdown, guardrail_cost), + cost_breakdown=request_cost_breakdown, + autorouter_savings=autorouter_savings, total_tokens=usage_dict.get("total_tokens", 0), prompt_tokens=usage_dict.get("prompt_tokens", 0), completion_tokens=usage_dict.get("completion_tokens", 0), @@ -5998,6 +6047,7 @@ def create_dummy_standard_logging_payload() -> StandardLoggingPayload: call_type="completion", stream=False, response_cost=response_cost, + autorouter_savings=None, response_cost_failure_debug_info=None, status="success", total_tokens=int(DEFAULT_MOCK_RESPONSE_PROMPT_TOKEN_COUNT + DEFAULT_MOCK_RESPONSE_COMPLETION_TOKEN_COUNT), diff --git a/litellm/litellm_core_utils/logging_utils.py b/litellm/litellm_core_utils/logging_utils.py index a17415f3ab8..91c8ba36b26 100644 --- a/litellm/litellm_core_utils/logging_utils.py +++ b/litellm/litellm_core_utils/logging_utils.py @@ -3,6 +3,7 @@ import functools import inspect import re import time +from collections.abc import Mapping from datetime import datetime from typing import TYPE_CHECKING, Any, Final @@ -268,6 +269,16 @@ def _set_duration_in_model_call_details( verbose_logger.warning("Error setting `llm_api_duration_ms`: %s", e) +def speech_request_body(model: str, voice: str, optional_params: Mapping[str, object]) -> Mapping[str, object]: + """Speech request body for telemetry, without the caller headers the provider SDKs + take as request kwargs rather than body fields.""" + return { # mutable-ok: loggers isinstance-check the request body as a dict + "model": model, + "voice": voice, + **{key: value for key, value in optional_params.items() if key != "extra_headers"}, + } + + def track_llm_api_timing(): """ Decorator to track LLM API call timing for both sync and async functions. diff --git a/litellm/litellm_core_utils/ptu_pricing.py b/litellm/litellm_core_utils/ptu_pricing.py index 6923e6beb96..021210d9175 100644 --- a/litellm/litellm_core_utils/ptu_pricing.py +++ b/litellm/litellm_core_utils/ptu_pricing.py @@ -8,7 +8,7 @@ router prices at zero serves its traffic for free. from collections.abc import Mapping from dataclasses import dataclass -from datetime import datetime, timezone +from datetime import date, datetime, time, timezone from types import MappingProxyType from typing import Final @@ -68,9 +68,17 @@ def _to_utc(parsed: datetime) -> datetime: def _as_utc(value: object) -> datetime | None: - """A model_info datetime as UTC, parsing an ISO string, else None.""" + """A model_info datetime as UTC, parsing an ISO string, else None. + + An unquoted ``2027-01-01`` in config.yaml is loaded as a ``date``, not a string, and a + reservation bound that fails to parse takes the whole deployment out of PTU handling, + so the day is read as its opening midnight rather than discarded. ``datetime`` derives + from ``date``, so it has to be matched first. + """ if isinstance(value, datetime): return _to_utc(value) + if isinstance(value, date): + return datetime.combine(value, time.min, tzinfo=timezone.utc) if not isinstance(value, str): return None try: @@ -84,6 +92,46 @@ def _named(reason: str, model_name: str | None) -> str: return reason if model_name is None else f"PTU configuration on model '{model_name}' is invalid: {reason}" +def ptu_identity_error( + *, declared_id: str | None, taken: bool, current_id: str | None = None, model_name: str | None = None +) -> str | None: + """Why this config-declared reservation cannot be identified, else None. + + A deployment declared in config.yaml is otherwise keyed by a hash of its resolved + ``litellm_params``, so rotating a credential or editing an endpoint mints a second + identity and the reservation is charged again under it. The flat cost is keyed by that + id, and a charge already written is never retracted, so the duplicate is permanent. + + ``current_id`` is what the deployment is keyed by today. Naming it is the difference + between an operator carrying their history forward and an operator inventing a fresh + id, which starts a second identity beside the charges already written. + """ + if not declared_id: + return _named( + "model_info.id is required when PTU fields are set. Without one the deployment is " + "identified by a hash of its litellm_params, so rotating a credential bills the " + "reservation a second time under the new identity. Set it to the id this deployment " + f"already uses, {current_id or 'shown by GET /model/info'}, so the flat cost already " + "written stays under one identity; any other value starts a second one", + model_name, + ) + if taken: + return _named( + f"model_info.id '{declared_id}' is declared on more than one deployment. Each would key " + "the same flat-cost row, so one reservation would go unbilled", + model_name, + ) + return None + + +PTU_MODEL_INFO_FIELDS: Final = ("ptu_count", "cost_per_ptu_per_hour", "ptu_effective_from", "ptu_effective_to") + + +def declares_ptu(model_info: Mapping[str, object]) -> bool: + """Whether any PTU field is set here, including one too malformed to charge.""" + return any(model_info.get(field) is not None for field in PTU_MODEL_INFO_FIELDS) + + def ptu_config_error(model_info: Mapping[str, object], *, model_name: str | None = None) -> str | None: """Why this PTU configuration cannot be honoured, else None. diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index bca9b6bbec4..ef278c8f723 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1827,6 +1827,12 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): custom_llm_provider=self.custom_llm_provider, ) + AnthropicModelInfo.maybe_drop_disabled_thinking( + model=model, + optional_params=optional_params, + custom_llm_provider=self._resolved_provider, + ) + headers = self.update_headers_with_optional_anthropic_beta(headers=headers, optional_params=optional_params) # === Tool-name sanitization (single chokepoint) === diff --git a/litellm/llms/anthropic/common_utils.py b/litellm/llms/anthropic/common_utils.py index 1cdbd60f943..3297aa95715 100644 --- a/litellm/llms/anthropic/common_utils.py +++ b/litellm/llms/anthropic/common_utils.py @@ -32,6 +32,12 @@ from litellm.types.llms.anthropic import ( from litellm.types.llms.openai import AllMessageValues from litellm.types.proxy.model_listing import ModelInfoResponse +DROP_DISABLED_THINKING_WARNING: Final = ( + "Dropping `thinking={'type': 'disabled'}` for model=%s: thinking is always on for this model and cannot be " + "disabled (the alternative is a provider 400). The model will still think adaptively, its response can contain " + "thinking blocks, and those thinking tokens are billed as output tokens." +) + _BEDROCK_VERSION_SUFFIX_RE: Final = re.compile(r"-v\d+(?::\d+)?$") _INFERENCE_PROFILE_MINOR_RE: Final = re.compile(r":\d+$") _DATED_RELEASE_SUFFIX_RE: Final = re.compile(r"-\d{8}$") @@ -425,6 +431,35 @@ class AnthropicModelInfo(BaseLLMModelInfo): """ return AnthropicModelInfo._supports_model_capability(model, "supports_adaptive_thinking", custom_llm_provider) + @staticmethod + def _is_always_on_thinking_model(model: str, custom_llm_provider: str) -> bool: + """Whether ``model`` always thinks and rejects ``thinking.type=disabled`` + (Fable 5 / Mythos 5 generation). The model cost map is authoritative: an + explicit ``thinking_always_on`` entry resolved under ``custom_llm_provider``, + or a ``fallback_generalizations`` rule for unmapped ids of those families. + """ + return AnthropicModelInfo._supports_model_capability(model, "thinking_always_on", custom_llm_provider) + + @staticmethod + def maybe_drop_disabled_thinking( + model: str, + optional_params: dict, # mutable-ok: in-place out-param, same contract as AnthropicConfig._maybe_drop_speed_param + custom_llm_provider: str, + ) -> None: + """Omit ``thinking={'type': 'disabled'}`` for always-on-thinking models + (Fable 5 / Mythos 5), which 400 on it; omission is the API-documented + remedy and yields the model's default adaptive thinking.""" + thinking: Final = optional_params.get("thinking") + if not isinstance(thinking, dict) or thinking.get("type") != "disabled": + return + if not AnthropicModelInfo._is_always_on_thinking_model(model, custom_llm_provider): + return + litellm.verbose_logger.warning( + DROP_DISABLED_THINKING_WARNING, + model, + ) + optional_params.pop("thinking", None) + def is_effort_used( self, optional_params: dict | None, diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py index 89066e33cbc..9d61701d26d 100644 --- a/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/adapters/handler.py @@ -21,6 +21,7 @@ from litellm.llms.anthropic.experimental_pass_through.context_management import ) from litellm.llms.anthropic.experimental_pass_through.utils import ( is_reasoning_auto_summary_enabled, + local_model_name, ) from litellm.types.llms.anthropic_messages.anthropic_response import ( AnthropicMessagesResponse, @@ -358,9 +359,9 @@ class LiteLLMMessagesToCompletionTransformationHandler: except Exception: pass - if isinstance(model, str) and model and not model.startswith("responses/"): - # Prefix model with "responses/" to route to OpenAI Responses API - completion_kwargs["model"] = f"responses/{model}" + if isinstance(model, str) and model and "responses/" not in model: + local_model: Final = model.removeprefix(f"{custom_llm_provider}/") + completion_kwargs["model"] = f"{custom_llm_provider}/responses/{local_model}" auto_summary: Final = is_reasoning_auto_summary_enabled() @@ -616,7 +617,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: if stream: transformed_stream: Final = ANTHROPIC_ADAPTER.translate_completion_output_params_streaming( completion_response, - model=model, + model=local_model_name(model, kwargs.get("custom_llm_provider")), tool_name_mapping=tool_name_mapping, polyfill_result=polyfill_result, is_async=True, @@ -750,7 +751,7 @@ class LiteLLMMessagesToCompletionTransformationHandler: if stream: transformed_stream: Final = ANTHROPIC_ADAPTER.translate_completion_output_params_streaming( completion_response, - model=model, + model=local_model_name(model, kwargs.get("custom_llm_provider")), tool_name_mapping=tool_name_mapping, polyfill_result=polyfill_result, is_async=False, diff --git a/litellm/llms/anthropic/experimental_pass_through/context_management/editors/compact.py b/litellm/llms/anthropic/experimental_pass_through/context_management/editors/compact.py index a7c462a8fb0..2a87afb5990 100644 --- a/litellm/llms/anthropic/experimental_pass_through/context_management/editors/compact.py +++ b/litellm/llms/anthropic/experimental_pass_through/context_management/editors/compact.py @@ -56,7 +56,7 @@ from ..result import PolyfillResult # so the summary's spend is attributed to the same scopes. The list mirrors the # fields populated by # ``LiteLLMProxyRequestSetup.add_user_api_key_auth_to_request_metadata``. -# ``user_api_key_model_max_budget`` / ``user_api_key_end_user_model_max_budget`` +# The three ``*_model_max_budget`` fields # are what ``_PROXY_VirtualKeyModelMaxBudgetLimiter`` reads post-call to update # the per-model spend caches, so without them the summary spend would never # count against the caller's model budget. ``user_api_key_end_user_id`` / @@ -76,6 +76,7 @@ _PROPAGATED_METADATA_KEYS: Final = ( "user_api_key_end_user_id", "user_api_end_user_max_budget", "user_api_key_model_max_budget", + "user_api_key_user_model_max_budget", "user_api_key_end_user_model_max_budget", "litellm_call_id", "litellm_parent_otel_span", @@ -317,10 +318,14 @@ async def _check_summary_model_budget( The summary subrequest never passes back through ``user_api_key_auth``, so without this gate a caller whose ``model_max_budget`` for ``context_management_summary_model`` is exhausted could keep consuming that - model via compaction. Mirrors the ``model_max_budget`` / - ``end_user_model_max_budget`` enforcement that ``user_api_key_auth`` runs for - the client-requested model. Returns True outside the proxy or when no + model via compaction. Mirrors the per-model budget enforcement that + ``user_api_key_auth`` runs for the client-requested model. Returns True outside the proxy or when no per-model budget is configured. + + All three scopes are checked because the summary's spend is charged to all + three: this file propagates the key, user and end-user budgets into the + subrequest's metadata, so enforcing only two of them would let compaction + increment a counter it can never be refused by. """ if user_api_key_auth is None: return True @@ -347,6 +352,25 @@ async def _check_summary_model_budget( ) return False + user_model_max_budget: Final = getattr(user_api_key_auth, "user_model_max_budget", None) + user_id: Final = getattr(user_api_key_auth, "user_id", None) + if isinstance(user_model_max_budget, dict) and user_model_max_budget and user_id is not None: + try: + await model_max_budget_limiter.is_user_within_model_budget( + user_id=user_id, + user_model_max_budget=user_model_max_budget, + model=summary_model, + ) + except litellm.BudgetExceededError: + return False + except Exception as e: # noqa: BLE001 # a budget gate denies on any failure, as the key and end-user scopes do + verbose_logger.warning( + "compact_20260112: unexpected error during user model-budget check for summary_model=%s; denying: %s", + summary_model, + e, + ) + return False + end_user_model_max_budget: Final = getattr(user_api_key_auth, "end_user_model_max_budget", None) end_user_id: Final = getattr(user_api_key_auth, "end_user_id", None) if isinstance(end_user_model_max_budget, dict) and end_user_model_max_budget and end_user_id is not None: diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/fake_stream_iterator.py b/litellm/llms/anthropic/experimental_pass_through/messages/fake_stream_iterator.py index 215d4a5b42b..14f1b7697cf 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/fake_stream_iterator.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/fake_stream_iterator.py @@ -113,6 +113,14 @@ class FakeAnthropicMessagesStreamIterator: } chunks.append(f"event: content_block_delta\ndata: {json.dumps(content_block_delta)}\n\n".encode()) + else: + passthrough_start: Final = { + "type": "content_block_start", + "index": index, + "content_block": block_dict, + } + chunks.append(f"event: content_block_start\ndata: {json.dumps(passthrough_start)}\n\n".encode()) + content_block_stop: Final = {"type": "content_block_stop", "index": index} chunks.append(f"event: content_block_stop\ndata: {json.dumps(content_block_stop)}\n\n".encode()) return chunks diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py index 26aef666172..f4d24bb933c 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/handler.py @@ -42,15 +42,46 @@ from .utils import AnthropicMessagesRequestUtils, mock_response _RESPONSES_API_PROVIDERS: Final = frozenset({"openai"}) -def _should_route_to_responses_api(custom_llm_provider: str | None) -> bool: - """Return True when the provider should use the Responses API path. +def _bridges_to_responses_api(model: str, custom_llm_provider: str) -> bool: + from litellm.main import responses_api_bridge_check + + model_info, _ = responses_api_bridge_check(model=model, custom_llm_provider=custom_llm_provider) + return model_info.get("mode") == "responses" + + +def _responses_mode_is_lost_by_prefix_strip( + requested_model: str, resolved_model: str, custom_llm_provider: str +) -> bool: + """Whether a Responses-only deployment stops looking like one once its provider prefix is stripped. + + ``litellm.completion`` re-derives the Responses bridge from the stripped id alone, so a + deployment id such as ``perplexity/perplexity/sonar`` (mode ``responses``) is shadowed by the + chat entry ``perplexity/sonar`` and would otherwise be sent to chat/completions. + """ + if requested_model == resolved_model: + return False + return _bridges_to_responses_api(requested_model, custom_llm_provider) and not _bridges_to_responses_api( + resolved_model, custom_llm_provider + ) + + +def _should_route_to_responses_api( + custom_llm_provider: str | None, + requested_model: str | None = None, + resolved_model: str | None = None, +) -> bool: + """Return True when the request should use the Responses API path. Set ``litellm.use_chat_completions_url_for_anthropic_messages = True`` to opt out and route OpenAI/Azure requests through chat/completions instead. """ if litellm.use_chat_completions_url_for_anthropic_messages: return False - return custom_llm_provider in _RESPONSES_API_PROVIDERS + if custom_llm_provider in _RESPONSES_API_PROVIDERS: + return True + if custom_llm_provider is None or requested_model is None or resolved_model is None: + return False + return _responses_mode_is_lost_by_prefix_strip(requested_model, resolved_model, custom_llm_provider) def _deployment_passes_through_anthropic_messages(model_info: object) -> bool: @@ -533,7 +564,7 @@ def anthropic_messages_handler( _shared_kwargs: Final = dict( max_tokens=max_tokens, messages=messages, - model=model, + model=original_model, metadata=metadata, stop_sequences=stop_sequences, stream=stream, @@ -551,7 +582,7 @@ def anthropic_messages_handler( custom_llm_provider=custom_llm_provider, **kwargs, ) - if _should_route_to_responses_api(custom_llm_provider): + if _should_route_to_responses_api(custom_llm_provider, original_model, model): return LiteLLMMessagesToResponsesAPIHandler.anthropic_messages_handler(**_shared_kwargs) # The in-gateway context_management polyfill runs inside diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py index 7c4986ca3fe..adabfa2d62d 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/transformation.py @@ -568,6 +568,12 @@ class AnthropicMessagesConfig(BaseAnthropicMessagesConfig): custom_llm_provider=self._resolved_provider, ) + AnthropicModelInfo.maybe_drop_disabled_thinking( + model=model, + optional_params=anthropic_messages_optional_request_params, + custom_llm_provider=self._resolved_provider, + ) + self._translate_legacy_thinking_for_adaptive_model( model=model, optional_params=anthropic_messages_optional_request_params, diff --git a/litellm/llms/anthropic/experimental_pass_through/messages/utils.py b/litellm/llms/anthropic/experimental_pass_through/messages/utils.py index d0dc5d527fe..02d82887dde 100644 --- a/litellm/llms/anthropic/experimental_pass_through/messages/utils.py +++ b/litellm/llms/anthropic/experimental_pass_through/messages/utils.py @@ -44,6 +44,7 @@ class AnthropicMessagesRequestUtils: filtered_params: Final = {k: v for k, v in params.items() if k in valid_keys and v is not None} if model is not None: from litellm.llms.anthropic.chat.transformation import AnthropicConfig + from litellm.llms.anthropic.common_utils import AnthropicModelInfo AnthropicConfig._maybe_drop_speed_param( model=model, @@ -51,6 +52,16 @@ class AnthropicMessagesRequestUtils: drop_params=drop_params, custom_llm_provider=custom_llm_provider, ) + for param in ("temperature", "top_p", "top_k"): + if param in filtered_params: + AnthropicModelInfo._apply_sampling_param( # pyright: ignore[reportPrivateUsage] # same gating the /chat/completions path applies; forking it would drift + optional_params=filtered_params, + model=model, + param=param, + value=filtered_params.pop(param), + drop_params=drop_params, + output_key=param, + ) return cast(AnthropicMessagesRequestOptionalParams, filtered_params) diff --git a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py index 843cda249c5..c1ea39fd72c 100644 --- a/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py +++ b/litellm/llms/anthropic/experimental_pass_through/responses_adapters/handler.py @@ -19,6 +19,7 @@ from litellm.types.llms.anthropic_messages.anthropic_response import ( ) from litellm.types.llms.openai import ResponsesAPIResponse +from ..utils import local_model_name from .streaming_iterator import AnthropicResponsesStreamWrapper from .transformation import LiteLLMAnthropicToResponsesAPIAdapter @@ -179,7 +180,9 @@ class LiteLLMMessagesToResponsesAPIHandler: result: Final = await litellm.aresponses(**responses_kwargs) if stream: - wrapper: Final = AnthropicResponsesStreamWrapper(responses_stream=result, model=model) + wrapper: Final = AnthropicResponsesStreamWrapper( + responses_stream=result, model=local_model_name(model, kwargs.get("custom_llm_provider")) + ) return wrapper.async_anthropic_sse_wrapper() if not isinstance(result, ResponsesAPIResponse): @@ -257,7 +260,9 @@ class LiteLLMMessagesToResponsesAPIHandler: result: Final = litellm.responses(**responses_kwargs) if stream: - wrapper: Final = AnthropicResponsesStreamWrapper(responses_stream=result, model=model) + wrapper: Final = AnthropicResponsesStreamWrapper( + responses_stream=result, model=local_model_name(model, kwargs.get("custom_llm_provider")) + ) return wrapper.async_anthropic_sse_wrapper() if not isinstance(result, ResponsesAPIResponse): diff --git a/litellm/llms/anthropic/experimental_pass_through/utils.py b/litellm/llms/anthropic/experimental_pass_through/utils.py index c5abcf8c04c..29661572b73 100644 --- a/litellm/llms/anthropic/experimental_pass_through/utils.py +++ b/litellm/llms/anthropic/experimental_pass_through/utils.py @@ -13,6 +13,11 @@ def prompt_cache_key_from_user_id(user_id: object) -> str | None: return str(user_id)[:OPENAI_MAX_PROMPT_CACHE_KEY_LENGTH] or None +def local_model_name(model: str, custom_llm_provider: object) -> str: + """The id the provider itself knows, for reporting back to the caller in ``message_start``.""" + return model.removeprefix(f"{custom_llm_provider}/") if isinstance(custom_llm_provider, str) else model + + def is_reasoning_auto_summary_enabled() -> bool: """Check whether the default 'summary: detailed' injection is enabled (opt-in).""" return litellm.reasoning_auto_summary or os.getenv("LITELLM_REASONING_AUTO_SUMMARY", "false").lower() == "true" diff --git a/litellm/llms/azure/azure.py b/litellm/llms/azure/azure.py index c8f94b575ad..980b27cda55 100644 --- a/litellm/llms/azure/azure.py +++ b/litellm/llms/azure/azure.py @@ -17,7 +17,7 @@ from openai import ( import litellm from litellm.constants import AZURE_OPERATION_POLLING_TIMEOUT, DEFAULT_MAX_RETRIES from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj -from litellm.litellm_core_utils.logging_utils import track_llm_api_timing +from litellm.litellm_core_utils.logging_utils import speech_request_body, track_llm_api_timing from litellm.litellm_core_utils.url_utils import SSRFError, assert_same_origin from litellm.llms.custom_httpx.http_handler import ( AsyncHTTPHandler, @@ -1352,6 +1352,7 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM): organization: str | None, max_retries: int, timeout: float | httpx.Timeout, + logging_obj: LiteLLMLoggingObj, azure_ad_token: str | None = None, azure_ad_token_provider: Callable | None = None, aspeech: bool | None = None, @@ -1373,6 +1374,7 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM): azure_ad_token_provider=azure_ad_token_provider, max_retries=max_retries, timeout=timeout, + logging_obj=logging_obj, client=client, litellm_params=litellm_params, ) @@ -1387,6 +1389,15 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM): litellm_params=litellm_params, ) + logging_obj.pre_call( + input=input, + api_key=api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "complete_input_dict": speech_request_body(model, voice, optional_params), + "api_base": str(azure_client.base_url), + }, + ) + response: Final = azure_client.audio.speech.create( model=model, voice=voice, @@ -1408,6 +1419,7 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM): azure_ad_token_provider: Callable | None, max_retries: int, timeout: float | httpx.Timeout, + logging_obj: LiteLLMLoggingObj, client=None, litellm_params: dict | None = None, ) -> HttpxBinaryResponseContent: @@ -1421,6 +1433,15 @@ class AzureChatCompletion(BaseAzureLLM, BaseLLM): litellm_params=litellm_params, ) + logging_obj.pre_call( + input=input, + api_key=api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "complete_input_dict": speech_request_body(model, voice, optional_params), + "api_base": str(azure_client.base_url), + }, + ) + azure_response: Final = await azure_client.audio.speech.create( model=model, voice=voice, diff --git a/litellm/llms/base_llm/files/transformation.py b/litellm/llms/base_llm/files/transformation.py index 174be93448b..b20fe0f1560 100644 --- a/litellm/llms/base_llm/files/transformation.py +++ b/litellm/llms/base_llm/files/transformation.py @@ -11,9 +11,9 @@ from litellm.types.llms.openai import ( AllMessageValues, CreateFileRequest, FileContentRequest, + FileListPage, OpenAICreateFileRequestOptionalParams, OpenAIFileObject, - OpenAIFilesPurpose, ) from litellm.types.utils import LlmProviders, ModelResponse @@ -240,10 +240,13 @@ class BaseFileEndpoints(ABC): @abstractmethod async def afile_list( self, - purpose: OpenAIFilesPurpose | None, + purpose: str | None, litellm_parent_otel_span: Span | None, + user_api_key_dict: UserAPIKeyAuth, + limit: int | None = None, + after: str | None = None, **data: dict, - ) -> list[OpenAIFileObject]: + ) -> FileListPage: pass @abstractmethod diff --git a/litellm/llms/bedrock/chat/converse_transformation.py b/litellm/llms/bedrock/chat/converse_transformation.py index 4dd3f802638..b437e25d24b 100644 --- a/litellm/llms/bedrock/chat/converse_transformation.py +++ b/litellm/llms/bedrock/chat/converse_transformation.py @@ -39,6 +39,7 @@ from litellm.llms.anthropic.chat.transformation import ( REASONING_EFFORT_TO_OUTPUT_CONFIG_EFFORT, AnthropicConfig, ) +from litellm.llms.anthropic.common_utils import AnthropicModelInfo from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException from litellm.llms.bedrock.request_metadata import ( bedrock_request_metadata_headers, @@ -1571,6 +1572,12 @@ class AmazonConverseConfig(BaseConfig): "has no thinking_blocks. The model won't use extended thinking for this turn." ) + AnthropicModelInfo.maybe_drop_disabled_thinking( + model=model, + optional_params=optional_params, + custom_llm_provider="bedrock", + ) + # Prepare and separate parameters ( inference_params, diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index 8c98c526da1..ed079197513 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -19,6 +19,10 @@ import litellm.types.utils from litellm._logging import _redact_string, verbose_logger from litellm.anthropic_beta_headers_manager import update_headers_with_filtered_beta from litellm.constants import REALTIME_WEBSOCKET_MAX_MESSAGE_SIZE_BYTES +from litellm.litellm_core_utils.agentic_loop_settings import ( + DEFAULT_MAX_AGENTIC_LOOPS, + validated_max_agentic_loops, +) from litellm.litellm_core_utils.asyncify import run_async_function from litellm.litellm_core_utils.realtime_errors import realtime_error_event, websocket_close_reason from litellm.litellm_core_utils.realtime_streaming import RealTimeStreaming @@ -89,6 +93,7 @@ from litellm.types.files import StreamingMediaUploadConfig, TwoStepFileUploadCon from litellm.types.integrations.custom_logger import ( AgenticLoopPlan, AgenticLoopRequestPatch, + AgenticLoopSafetyError, ) from litellm.types.llms.anthropic_messages.anthropic_response import ( AnthropicMessagesResponse, @@ -2056,7 +2061,7 @@ class BaseLLMHTTPHandler: # Prepare headers kwargs = kwargs or {} provider_specific_header: Final = cast( - litellm.types.utils.ProviderSpecificHeader | None, + litellm.types.utils.ProviderSpecificHeader | Sequence[litellm.types.utils.ProviderSpecificHeader] | None, kwargs.get("provider_specific_header", None), ) provider_specific_headers: Final = ProviderSpecificHeaderUtils.get_provider_specific_headers( @@ -5077,9 +5082,12 @@ class BaseLLMHTTPHandler: @staticmethod def _get_agentic_loop_settings(kwargs: dict) -> tuple[int, int, list[str]]: depth: Final = int(kwargs.get("_agentic_loop_depth", 0) or 0) - max_loops: Final = int(kwargs.get("max_agentic_loops", 3) or 3) + configured: Final = validated_max_agentic_loops( + kwargs.get("max_agentic_loops"), field="litellm_params.max_agentic_loops" + ) + max_loops: Final = DEFAULT_MAX_AGENTIC_LOOPS if configured is None else configured fingerprints: Final = list(kwargs.get("_agentic_loop_fingerprints", []) or []) - return depth, max(max_loops, 1), fingerprints + return depth, max_loops, fingerprints @staticmethod def _has_agentic_completion_hook(logging_obj: LiteLLMLoggingObj) -> bool: @@ -5122,7 +5130,8 @@ class BaseLLMHTTPHandler: """ Evaluate agentic-loop safety guards (fingerprint cycle / max depth). - Raises ValueError on abort. Returns the current fingerprint on success. + Raises AgenticLoopSafetyError on abort. Returns the current fingerprint + on success. These checks must not be swallowed by the per-callback ``except Exception`` block that wraps callback dispatch — they are bounded-loop / cycle-break @@ -5130,9 +5139,9 @@ class BaseLLMHTTPHandler: """ fingerprint: Final = BaseLLMHTTPHandler._fingerprint_agentic_tools(tool_calls) if fingerprint in fingerprints: - raise ValueError("Agentic loop detected repeated tool-call fingerprint; aborting rerun") + raise AgenticLoopSafetyError("Agentic loop detected repeated tool-call fingerprint; aborting rerun") if depth >= max_loops: - raise ValueError(f"Exceeded max_agentic_loops={max_loops} for model={model}") + raise AgenticLoopSafetyError(f"Exceeded max_agentic_loops={max_loops} for model={model}") return fingerprint @staticmethod @@ -5142,6 +5151,97 @@ class BaseLLMHTTPHandler: except Exception: return str(tools) + @staticmethod + def _refused_agentic_tool_identifiers(tool_calls: object) -> tuple[frozenset[str], frozenset[str]]: + """ + Collect the ids and names of the tool calls a safety rail just refused. + + Callbacks hand back either a bare list of tool calls or a dict wrapping + that list under ``tool_calls``, and both the anthropic and responses + shapes carry an ``id`` (or ``call_id``) plus a ``name``. + """ + calls: Final = tool_calls.get("tool_calls") if isinstance(tool_calls, dict) else tool_calls + if not isinstance(calls, list): + return frozenset(), frozenset() + dict_calls: Final = (call for call in calls if isinstance(call, dict)) + fields: Final = tuple((call.get("id"), call.get("call_id"), call.get("name")) for call in dict_calls) + ids: Final = frozenset( + value for call_id, caller_id, _ in fields for value in (call_id, caller_id) if isinstance(value, str) + ) + names: Final = frozenset(name for _, _, name in fields if isinstance(name, str)) + return ids, names + + @staticmethod + def _is_refused_tool_use_block(block: object, refused_ids: frozenset[str], refused_names: frozenset[str]) -> bool: + """ + Whether this response block belongs to a tool call the rail refused. + + An id settles it on its own, so a block carrying one is matched on the id + alone and a client's own tool call survives even where it happens to + share a name with a refused one. The name is only consulted for tool call + shapes that arrive without an id. + """ + if not isinstance(block, dict) or block.get("type") != "tool_use": + return False + block_id: Final = block.get("id") + if isinstance(block_id, str) and refused_ids: + return block_id in refused_ids + return block.get("name") in refused_names + + @staticmethod + def _can_replace_turn_with_terminal_response(stream: bool, api_surface: str) -> bool: + """ + Whether a refused rerun can still be answered with a finalized turn. + + Only the anthropic messages surface can. The responses surface carries a + pydantic model the finalizer does not rewrite, so it keeps raising, which + is what every surface did before this path learned to end the turn. + + The messages and responses call sites pass ``stream=False``, because + interception converts an intercepted stream to non-streaming before the + loop runs and rebuilds the SSE stream from the finalized turn + afterwards. ``AgenticStreamingIterator`` passes ``stream=True``, and + that path keeps raising: its events are already on the wire, so a + finalized turn would reach the client as a second message rather than + as a replacement. + """ + return not stream and api_surface == "anthropic_messages" + + @staticmethod + def _finalize_refused_agentic_response(response: object, tool_calls: object) -> object: + """ + Turn the response into a terminal turn after a safety rail refused the rerun. + + The refused tool calls target tools LiteLLM injected on the client's + behalf, so a client that never declared them cannot send back a matching + ``tool_result``. Their blocks are dropped and a ``tool_use`` stop reason + is closed out as ``end_turn``, which is what a provider-native web search + turn returns once it stops calling tools. + + A ``tool_use`` block the client itself declared is left alone, and while + one is still in the response the stop reason stays ``tool_use`` so the + client knows to answer it. + """ + if not isinstance(response, dict): + return response + + refused_ids, refused_names = BaseLLMHTTPHandler._refused_agentic_tool_identifiers(tool_calls) + finalized: Final = dict(response) + content: Final = finalized.get("content") + if isinstance(content, list): + kept_blocks: Final = [ + block + for block in content + if not BaseLLMHTTPHandler._is_refused_tool_use_block(block, refused_ids, refused_names) + ] + finalized["content"] = kept_blocks + client_tool_use_remains: Final = any( + isinstance(block, dict) and block.get("type") == "tool_use" for block in kept_blocks + ) + if not client_tool_use_remains and finalized.get("stop_reason") == "tool_use": + finalized["stop_reason"] = "end_turn" + return finalized + async def _execute_anthropic_agentic_plan( self, plan: AgenticLoopPlan, @@ -5507,14 +5607,30 @@ class BaseLLMHTTPHandler: continue # Safety guards must run OUTSIDE the callback try/except — they are - # bounded-loop / cycle-break rails that must propagate to the caller. - fingerprint = self._check_agentic_loop_safety( - tool_calls=tool_calls, - fingerprints=fingerprints, - depth=depth, - max_loops=max_loops, - model=model, - ) + # bounded-loop / cycle-break rails, not callback bugs. + try: + fingerprint = self._check_agentic_loop_safety( + tool_calls=tool_calls, + fingerprints=fingerprints, + depth=depth, + max_loops=max_loops, + model=model, + ) + except AgenticLoopSafetyError as e: + if not self._can_replace_turn_with_terminal_response(stream, api_surface): + raise + _call_id = getattr(logging_obj, "litellm_call_id", "unknown") + verbose_logger.warning( + "LiteLLM.AgenticLoopRefused: ending turn [call_id=%s model=%s]: %s", + _call_id, + model, + str(e), + ) + return self._maybe_wrap_in_fake_stream( + self._finalize_refused_agentic_response(response=response, tool_calls=tool_calls), + logging_obj, + api_surface, + ) try: kwargs_with_provider = hook_kwargs.copy() diff --git a/litellm/llms/openai/openai.py b/litellm/llms/openai/openai.py index 4fc6655ca54..ee0efb88a38 100644 --- a/litellm/llms/openai/openai.py +++ b/litellm/llms/openai/openai.py @@ -22,7 +22,7 @@ from litellm._logging import verbose_logger from litellm.constants import DEFAULT_MAX_RETRIES from litellm.files.types import FileContentStreamingResult from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj -from litellm.litellm_core_utils.logging_utils import track_llm_api_timing +from litellm.litellm_core_utils.logging_utils import speech_request_body, track_llm_api_timing from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException from litellm.llms.bedrock.chat.invoke_handler import MockResponseIterator @@ -1365,9 +1365,21 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): client=client, ) - if headers: - data["extra_headers"] = headers - response = await openai_aclient.images.generate(**data, timeout=timeout) + logging_obj.pre_call( + input=prompt, + api_key=openai_aclient.api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "headers": {"Authorization": f"Bearer {openai_aclient.api_key}"}, # mutable-ok: logged header map + "api_base": str(openai_aclient.base_url), + "acompletion": True, + "complete_input_dict": data, + }, + ) + + request_data: Final = ( # mutable-ok: the OpenAI SDK takes the request body as a dict + {**data, "extra_headers": headers} if headers else data + ) + response = await openai_aclient.images.generate(**request_data, timeout=timeout) stringified_response: Final = response.model_dump() ## LOGGING logging_obj.post_call( @@ -1450,9 +1462,10 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): ) ## COMPLETION CALL - if headers: - data["extra_headers"] = headers - _response: Final = openai_client.images.generate(**data, timeout=timeout) + request_data: Final = ( # mutable-ok: the OpenAI SDK takes the request body as a dict + {**data, "extra_headers": headers} if headers else data + ) + _response: Final = openai_client.images.generate(**request_data, timeout=timeout) response: Final = _response.model_dump() ## LOGGING @@ -1501,6 +1514,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): project: str | None, max_retries: int, timeout: float | httpx.Timeout, + logging_obj: LiteLLMLoggingObj, aspeech: bool | None = None, client=None, shared_session: Optional["ClientSession"] = None, @@ -1517,6 +1531,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): project=project, max_retries=max_retries, timeout=timeout, + logging_obj=logging_obj, client=client, shared_session=shared_session, ) @@ -1531,7 +1546,17 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): shared_session=shared_session, ) - response: Final = cast(OpenAI, openai_client).audio.speech.create( + sync_client: Final = cast(OpenAI, openai_client) + logging_obj.pre_call( + input=input, + api_key=api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "complete_input_dict": speech_request_body(model, voice, optional_params), + "api_base": str(sync_client.base_url), + }, + ) + + response: Final = sync_client.audio.speech.create( model=model, voice=voice, input=input, @@ -1551,6 +1576,7 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): project: str | None, max_retries: int, timeout: float | httpx.Timeout, + logging_obj: LiteLLMLoggingObj, client=None, shared_session: Optional["ClientSession"] = None, ) -> HttpxBinaryResponseContent: @@ -1567,6 +1593,15 @@ class OpenAIChatCompletion(BaseLLM, BaseOpenAILLM): ), ) + logging_obj.pre_call( + input=input, + api_key=api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "complete_input_dict": speech_request_body(model, voice, optional_params), + "api_base": str(openai_client.base_url), + }, + ) + response: Final = await openai_client.audio.speech.create( model=model, voice=voice, diff --git a/litellm/llms/openai_like/providers.json b/litellm/llms/openai_like/providers.json index 5f57aaa78d8..a458a209ea9 100644 --- a/litellm/llms/openai_like/providers.json +++ b/litellm/llms/openai_like/providers.json @@ -188,5 +188,17 @@ "max_completion_tokens": "max_tokens" }, "supported_endpoints": ["/v1/chat/completions", "/v1/responses", "/v1/embeddings"] + }, + "scx-ai": { + "base_url": "https://api.scx.ai/v1", + "api_key_env": "SCX_API_KEY", + "api_base_env": "SCX_API_BASE", + "param_mappings": { + "max_completion_tokens": "max_tokens" + }, + "constraints": { + "temperature_max": 1.99 + }, + "supported_endpoints": ["/v1/chat/completions"] } } diff --git a/litellm/llms/vertex_ai/common_utils.py b/litellm/llms/vertex_ai/common_utils.py index 26f797cf5b2..1de2337d8eb 100644 --- a/litellm/llms/vertex_ai/common_utils.py +++ b/litellm/llms/vertex_ai/common_utils.py @@ -1164,21 +1164,31 @@ class VertexAITokenCounter(BaseTokenCounter): original_response=result, ) else: - # Use standard Vertex AI (Gemini) token counter from litellm.llms.vertex_ai.count_tokens.handler import VertexAITokenCounter + from litellm.llms.vertex_ai.gemini.transformation import ( + _gemini_convert_messages_with_history, # pyright: ignore[reportPrivateUsage] # shared helper already used by gemini/chat, context_caching, and vertex_and_google_ai_studio_gemini + ) + + resolved_contents: Final = ( + contents + if contents is not None + else _gemini_convert_messages_with_history( + messages=messages or [] # mutable-ok: fallback for None messages; helper signature requires list + ) + ) count_tokens_params: Final = { "model": model_to_use, - "contents": contents, + "contents": resolved_contents, } count_tokens_params_request.update(count_tokens_params) result = await VertexAITokenCounter().acount_tokens( **count_tokens_params_request, ) - if result is not None: + if result is not None and "totalTokens" in result: return TokenCountResponse( - total_tokens=result.get("totalTokens", 0), + total_tokens=result["totalTokens"], request_model=request_model, model_used=model_to_use, tokenizer_type=result.get("tokenizer_used", ""), diff --git a/litellm/main.py b/litellm/main.py index 7cfd322f3d0..2cf53833c5a 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -5091,14 +5091,16 @@ def completion( model_info: Final = kwargs.get("model_info", None) proxy_server_request: Final = kwargs.get("proxy_server_request", None) fallbacks = kwargs.get("fallbacks", None) - provider_specific_header: Final = cast(ProviderSpecificHeader | None, kwargs.get("provider_specific_header", None)) + provider_specific_header: Final = cast( + ProviderSpecificHeader | Sequence[ProviderSpecificHeader] | None, + kwargs.get("provider_specific_header", None), + ) headers = kwargs.get("headers", None) or extra_headers ensure_alternating_roles: Final[bool | None] = kwargs.get("ensure_alternating_roles", None) user_continue_message: Final[ChatCompletionUserMessage | None] = kwargs.get("user_continue_message", None) assistant_continue_message: ChatCompletionAssistantMessage | None = kwargs.get("assistant_continue_message", None) - if headers is None: - headers = {} + headers = {} if headers is None else dict(headers) if extra_headers is not None: headers.update(extra_headers) # Inject proxy auth headers if configured @@ -7535,6 +7537,15 @@ async def amoderation( }, custom_llm_provider=custom_llm_provider, ) + moderation_request: Final = {"input": input, "model": model} # mutable-ok: logged as the raw request body + litellm_logging_obj.pre_call( + input=input, + api_key=api_key, + additional_args={ # mutable-ok: loggers isinstance-check this payload as a dict + "complete_input_dict": moderation_request, + "api_base": str(_openai_client.base_url), + }, + ) if model is not None: response = await _openai_client.moderations.create(input=input, model=model) @@ -8040,6 +8051,7 @@ def speech( project=project, max_retries=max_retries, timeout=timeout, + logging_obj=logging_obj, client=client, # pass AsyncOpenAI, OpenAI client aspeech=aspeech, shared_session=shared_session, @@ -8118,6 +8130,7 @@ def speech( organization=organization, max_retries=max_retries, timeout=timeout, + logging_obj=logging_obj, client=client, # pass AsyncOpenAI, OpenAI client aspeech=aspeech, litellm_params=litellm_params_dict, diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 91c10d13e8e..3af7d9e5019 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -1232,6 +1232,7 @@ "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", + "thinking_always_on": true, "supports_function_calling": true, "supports_vision": true, "supports_prompt_caching": false, @@ -1404,6 +1405,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1440,6 +1442,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1476,6 +1479,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -1512,6 +1516,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -3021,6 +3026,7 @@ "cache_creation_input_token_cost_above_1hr": 2e-05, "cache_read_input_token_cost": 1e-06, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -4875,6 +4881,38 @@ "supports_tool_choice": true, "supports_vision": false }, + "azure/gpt-audio-mini": { + "deprecation_date": "2027-04-06", + "input_cost_per_audio_token": 1e-05, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 128000, + "max_output_tokens": 16384, + "max_tokens": 16384, + "mode": "chat", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/chat/completions" + ], + "supported_modalities": [ + "text", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": false + }, "azure/gpt-audio-mini-2025-10-06": { "deprecation_date": "2027-04-06", "input_cost_per_audio_token": 1e-05, @@ -5088,6 +5126,38 @@ "supports_system_messages": true, "supports_tool_choice": true }, + "azure/gpt-realtime-mini": { + "cache_creation_input_audio_token_cost": 3e-07, + "cache_read_input_token_cost": 6e-08, + "input_cost_per_audio_token": 1e-05, + "input_cost_per_image": 8e-07, + "input_cost_per_token": 6e-07, + "litellm_provider": "azure", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "realtime", + "output_cost_per_audio_token": 2e-05, + "output_cost_per_token": 2.4e-06, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, "azure/gpt-realtime-mini-2025-10-06": { "cache_creation_input_audio_token_cost": 3e-07, "cache_read_input_token_cost": 6e-08, @@ -12780,6 +12850,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -19491,106 +19562,6 @@ }, "web_search_billing_unit": "per_query" }, - "gemini-3.1-flash-lite-image": { - "input_cost_per_image": 0.00028, - "input_cost_per_token": 2.5e-07, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 65536, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "image_generation", - "output_cost_per_image": 0.0336, - "output_cost_per_image_token": 3e-05, - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text", - "image" - ], - "supports_function_calling": false, - "supports_prompt_caching": true, - "supports_response_schema": false, - "supports_reasoning": true, - "supports_system_messages": true, - "supports_vision": true - }, - "gemini/gemini-3.1-flash-lite-image": { - "rpm": 1000, - "tpm": 4000000, - "input_cost_per_image": 0.00028, - "input_cost_per_token": 2.5e-07, - "input_cost_per_token_batches": 1.25e-07, - "litellm_provider": "gemini", - "max_input_tokens": 65536, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "image_generation", - "output_cost_per_image": 0.0336, - "output_cost_per_image_token": 3e-05, - "output_cost_per_token": 1.5e-06, - "output_cost_per_token_batches": 7.5e-07, - "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-lite-image", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text", - "image" - ], - "supports_function_calling": true, - "supports_prompt_caching": false, - "supports_response_schema": false, - "supports_reasoning": true, - "supports_system_messages": true, - "supports_vision": true - }, - "vertex_ai/gemini-3.1-flash-lite-image": { - "input_cost_per_image": 0.00028, - "input_cost_per_token": 2.5e-07, - "litellm_provider": "vertex_ai-language-models", - "max_input_tokens": 65536, - "max_output_tokens": 4096, - "max_tokens": 4096, - "mode": "image_generation", - "output_cost_per_image": 0.0336, - "output_cost_per_image_token": 3e-05, - "output_cost_per_token": 1.5e-06, - "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", - "supported_endpoints": [ - "/v1/chat/completions", - "/v1/completions", - "/v1/batch" - ], - "supported_modalities": [ - "text", - "image" - ], - "supported_output_modalities": [ - "text", - "image" - ], - "supports_function_calling": false, - "supports_prompt_caching": true, - "supports_response_schema": false, - "supports_reasoning": true, - "supports_system_messages": true, - "supports_vision": true - }, "gemini-3.1-flash-image": { "deprecation_date": "2027-05-28", "input_cost_per_image": 0.00056, @@ -19668,6 +19639,44 @@ }, "web_search_billing_unit": "per_query" }, + "gemini-3.1-flash-lite-image": { + "cache_read_input_token_cost": 2.5e-08, + "input_cost_per_image": 0.00028, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_batches": 1.25e-07, + "litellm_provider": "vertex_ai-language-models", + 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"web_search_billing_unit": "per_query" }, + "gemini/gemini-3.1-flash-lite-image": { + "input_cost_per_image": 0.00028, + "input_cost_per_token": 2.5e-07, + "input_cost_per_token_batches": 1.25e-07, + "litellm_provider": "gemini", + "max_input_tokens": 65536, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "image_generation", + "output_cost_per_image": 0.0336, + "output_cost_per_image_token": 3e-05, + "output_cost_per_token": 1.5e-06, + "output_cost_per_token_batches": 7.5e-07, + "rpm": 1000, + "source": "https://ai.google.dev/gemini-api/docs/pricing#gemini-3.1-flash-lite-image", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text", + "image" + ], + "supports_function_calling": true, + "supports_prompt_caching": false, + "supports_reasoning": false, + "supports_response_schema": false, + "supports_system_messages": true, + "supports_vision": true, + "tpm": 4000000 + }, "gemini/deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, @@ -26034,33 +26079,33 @@ "supports_minimal_reasoning_effort": true }, "gpt-5.6": { - "cache_creation_input_token_cost": 6.25e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05, - "cache_creation_input_token_cost_above_272k_tokens_flex": 6.25e-06, - "cache_creation_input_token_cost_flex": 3.125e-06, - "cache_creation_input_token_cost_priority": 1.25e-05, - "cache_read_input_token_cost": 5e-07, - "cache_read_input_token_cost_above_272k_tokens": 1e-06, - "cache_read_input_token_cost_above_272k_tokens_flex": 5e-07, - "cache_read_input_token_cost_flex": 2.5e-07, - "cache_read_input_token_cost_priority": 1e-06, - "input_cost_per_token": 5e-06, - "input_cost_per_token_above_272k_tokens": 1e-05, - "input_cost_per_token_above_272k_tokens_flex": 5e-06, - "input_cost_per_token_batches": 2.5e-06, - 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1e-05, + "output_cost_per_token_flex": 1e-05, + "output_cost_per_token_priority": 4e-05, "regional_processing_uplift_multiplier_eu": 1.1, "regional_processing_uplift_multiplier_us": 1.1, "search_context_cost_per_query": { @@ -26365,19 +26410,19 @@ "supports_parallel_function_calling": true }, "daybreak-blue-latest": { - "cache_creation_input_token_cost": 6.25e-06, - "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05, - "cache_read_input_token_cost": 5e-07, - "cache_read_input_token_cost_above_272k_tokens": 1e-06, - "input_cost_per_token": 5e-06, - "input_cost_per_token_above_272k_tokens": 1e-05, + "cache_creation_input_token_cost": 5e-06, + "cache_creation_input_token_cost_above_272k_tokens": 1e-05, + "cache_read_input_token_cost": 4e-07, + "cache_read_input_token_cost_above_272k_tokens": 8e-07, + "input_cost_per_token": 4e-06, + "input_cost_per_token_above_272k_tokens": 8e-06, "litellm_provider": "openai", "max_input_tokens": 1050000, "max_output_tokens": 128000, "max_tokens": 128000, "mode": "chat", - "output_cost_per_token": 3e-05, - "output_cost_per_token_above_272k_tokens": 4.5e-05, + "output_cost_per_token": 2e-05, + "output_cost_per_token_above_272k_tokens": 3e-05, "supported_endpoints": [ "/v1/chat/completions", "/v1/responses" @@ -31140,6 +31185,23 @@ "supports_video_input": true, "supports_vision": true }, + "moonshot/kimi-k3": { + "cache_read_input_token_cost": 3e-07, + "input_cost_per_token": 3e-06, + "litellm_provider": "moonshot", + "max_input_tokens": 1048576, + "max_output_tokens": 1048576, + "max_tokens": 1048576, + "mode": "chat", + "output_cost_per_token": 1.5e-05, + "source": "https://platform.kimi.ai/docs/pricing/chat-k3", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_video_input": true, + "supports_vision": true + }, "moonshot/kimi-latest": { "cache_read_input_token_cost": 1.5e-07, "deprecation_date": "2026-01-28", @@ -36724,6 +36786,40 @@ "supports_vision": true, "source": "https://cloud.sambanova.ai/plans/pricing" }, + "scx-ai/GLM-5.2": { + "cache_read_input_token_cost": 2.2e-07, + "input_cost_per_token": 6.1e-07, + "litellm_provider": "scx-ai", + "max_input_tokens": 1048576, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 1.98e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": false + }, + "scx-ai/Qwen3.8-Max": { + "cache_read_input_token_cost": 2.1e-07, + "input_cost_per_token": 1.65e-06, + "litellm_provider": "scx-ai", + "max_input_tokens": 1000000, + "max_output_tokens": 131072, + "max_tokens": 131072, + "mode": "chat", + "output_cost_per_token": 4.99e-06, + "source": "https://scx.ai/pricing", + "supports_function_calling": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, "snowflake/claude-3-5-sonnet": { "litellm_provider": "snowflake", "max_input_tokens": 200000, @@ -40365,6 +40461,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -40398,6 +40495,7 @@ "search_context_size_medium": 0.01 }, "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -41006,6 +41104,44 @@ "supports_reasoning": false, "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models" }, + "vertex_ai/gemini-3.1-flash-lite-image": { + "cache_read_input_token_cost": 2.5e-08, + "input_cost_per_image": 0.00028, + "input_cost_per_token": 2.5e-07, + 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"cache_read_input_token_cost": 2.5e-08, "input_cost_per_audio_token": 5e-07, @@ -48545,6 +48681,156 @@ "supports_tool_choice": true, "supports_vision": true }, + "us.openai.gpt-5.6-sol": { + "input_cost_per_token": 5.5e-06, + "input_cost_per_token_above_272k_tokens": 1.1e-05, + "cache_creation_input_token_cost": 6.875e-06, + "cache_creation_input_token_cost_above_272k_tokens": 1.375e-05, + "cache_read_input_token_cost": 5.5e-07, + "cache_read_input_token_cost_above_272k_tokens": 1.1e-06, + "output_cost_per_token": 3.3e-05, + "output_cost_per_token_above_272k_tokens": 4.95e-05, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "global.openai.gpt-5.6-sol": { + "input_cost_per_token": 5e-06, + 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"max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "us.openai.gpt-5.6-luna": { + "input_cost_per_token": 2.2e-07, + "input_cost_per_token_above_272k_tokens": 4.4e-07, + "cache_creation_input_token_cost": 2.75e-07, + "cache_creation_input_token_cost_above_272k_tokens": 5.5e-07, + "cache_read_input_token_cost": 2.2e-08, + "cache_read_input_token_cost_above_272k_tokens": 4.4e-08, + "output_cost_per_token": 1.32e-06, + "output_cost_per_token_above_272k_tokens": 1.98e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "global.openai.gpt-5.6-luna": { + "input_cost_per_token": 2e-07, + "input_cost_per_token_above_272k_tokens": 4e-07, + "cache_creation_input_token_cost": 2.5e-07, + "cache_creation_input_token_cost_above_272k_tokens": 5e-07, + "cache_read_input_token_cost": 2e-08, + "cache_read_input_token_cost_above_272k_tokens": 4e-08, + "output_cost_per_token": 1.2e-06, + "output_cost_per_token_above_272k_tokens": 1.8e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 1000000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_tool_choice": true, + "supports_vision": true + }, "bedrock_mantle/openai.gpt-5.5": { "input_cost_per_token": 5.5e-06, "cache_read_input_token_cost": 5.5e-07, @@ -49754,6 +50040,7 @@ }, "source": "https://docs.claude.com/en/docs/about-claude/models/overview", "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_mid_conversation_system": true, "supports_assistant_prefill": false, "supports_computer_use": true, @@ -49789,6 +50076,7 @@ }, "source": "https://docs.claude.com/en/docs/about-claude/models/overview", "supports_adaptive_thinking": true, + "thinking_always_on": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -49967,6 +50255,14 @@ "supports_adaptive_thinking": true } }, + { + "name": "claude-always-on-thinking", + "pattern": "claude-(?:fable|mythos)-", + "description": "Any Claude Fable or Mythos id, under any provider namespace and any version. These families always think and reject thinking.type=disabled with a 400; the Anthropic transformations omit the param instead, so the model falls back to its default adaptive thinking.", + "model_info": { + "thinking_always_on": true + } + }, { "name": "claude-mid-conversation-system", "pattern": "claude-[a-z]+-(?:4[-._](?:[89]|[1-9]\\d)(?!\\d)|(?:[5-9]|[1-9]\\d)(?!\\d)(?:[-._]\\d{1,2}(?!\\d))?)", diff --git a/litellm/provider_endpoints_support_backup.json b/litellm/provider_endpoints_support_backup.json index b4d635c0fba..86c14fb4cd8 100644 --- a/litellm/provider_endpoints_support_backup.json +++ b/litellm/provider_endpoints_support_backup.json @@ -2027,6 +2027,23 @@ "interactions": true } }, + "scx-ai": { + "display_name": "SCX.ai (`scx-ai`)", + "url": "https://docs.litellm.ai/docs/providers/scx_ai", + "endpoints": { + "chat_completions": true, + "messages": false, + "responses": false, + "embeddings": false, + "image_generations": false, + "audio_transcriptions": false, + "audio_speech": false, + "moderations": false, + "batches": false, + "rerank": false, + "a2a": false + } + }, "snowflake": { "display_name": "Snowflake (`snowflake`)", "url": "https://docs.litellm.ai/docs/providers/snowflake", diff --git a/litellm/proxy/_experimental/mcp_server/auth/user_api_key_auth_mcp.py b/litellm/proxy/_experimental/mcp_server/auth/user_api_key_auth_mcp.py index d13b39661ad..7d85f3c4908 100644 --- a/litellm/proxy/_experimental/mcp_server/auth/user_api_key_auth_mcp.py +++ b/litellm/proxy/_experimental/mcp_server/auth/user_api_key_auth_mcp.py @@ -39,6 +39,7 @@ from litellm.proxy._types import ( SpecialMCPServerName, SpecialMCPServerNames, UserAPIKeyAuth, + user_api_key_has_admin_view, ) from litellm.proxy.auth.ip_address_utils import IPAddressUtils from litellm.proxy.auth.user_api_key_auth import ( @@ -160,7 +161,7 @@ def _is_mcp_admitted_user_subject(user_api_key_auth: UserAPIKeyAuth | None) -> b """True when this auth is a keyless subject admitted by the gateway session / bridge user path, as opposed to a JWT or other keyless auth that merely lacks a ``team_id``. - Reads the server-only ``mcp_admitted_user_subject`` field, set only by ``_reload_admitted_user``. It + Reads the server-only ``mcp_admitted_user_subject`` field, set only by ``reload_admitted_user``. It is deliberately NOT a ``metadata`` key, which is caller-controlled at key creation and so forgeable on a personal key to gain the team grant union or dodge the egress scrub; this field cannot be.""" return user_api_key_auth is not None and user_api_key_auth.mcp_admitted_user_subject is True @@ -812,7 +813,7 @@ class MCPRequestHandler: Identity-only sibling of :meth:`_admit_dcr_bridge_delegate`: the session token seals no upstream credential (those are vaulted per user, resolved at egress), so authorization is - resolved fresh via :meth:`_reload_admitted_user` + the centralized policy gate rather than a + resolved fresh via :meth:`reload_admitted_user` + the centralized policy gate rather than a mint-time snapshot. Pre-DB gates (size, IP, route allowlist) run first, mirroring the standard pipeline. Fails closed with the requested scope's ``invalid_token`` challenge on an expired, tampered, foreign, or refresh token, or a missing/deactivated/policy-rejected user.""" @@ -835,7 +836,7 @@ class MCPRequestHandler: match result: case SessionBearerAdmitted(): try: - admitted: Final = await MCPRequestHandler._reload_admitted_user(result.principal.user_id) + admitted: Final = await MCPRequestHandler.reload_admitted_user(result.principal.user_id) admitted.mcp_session_resource_server_id = result.principal.resource_server_id await MCPRequestHandler._enforce_admitted_live_policy( admitted=admitted, request=request, route=route @@ -893,12 +894,12 @@ class MCPRequestHandler: case "key_hash": return await MCPRequestHandler._reload_admitted_key(identity.subject) case "user_id": - return await MCPRequestHandler._reload_admitted_user(identity.subject) + return await MCPRequestHandler.reload_admitted_user(identity.subject) case _: assert_never(identity.subject_type) @staticmethod - async def _reload_admitted_user(user_id: str) -> UserAPIKeyAuth: + async def reload_admitted_user(user_id: str) -> UserAPIKeyAuth: """Reload the live user an interactively-minted envelope references and admit them as themselves. The user's own object permission and ``org_id`` ride on the returned ``UserAPIKeyAuth``, and the @@ -1785,11 +1786,14 @@ class MCPRequestHandler: global_mcp_server_manager, ) - # An OPEN channel (allow_all_keys, the user's own BYOM) makes the server REACHABLE through the - # user, though no grant source names it — without this the union returns [], listable but - # uninvokable. Reachability is ALL it confers, NOT a ceiling waiver: the user's own - # mcp_tool_permissions and org tool ceiling still bind, exactly as a key's do on an allow_all server. - reachable_via_open_channel: Final = server_id in await global_mcp_server_manager.operator_open_server_ids(auth) + # An OPEN channel (allow_all_keys, the user's own BYOM, an unscoped admin-view role) makes the + # server REACHABLE through the user, though no grant source names it — without this the union + # returns [], listable but uninvokable. Reachability is ALL it confers, NOT a ceiling waiver: + # the user's own mcp_tool_permissions and org tool ceiling still bind, exactly as a key's do + # on an allow_all server or an admin key's do on any server. + reachable_via_open_channel: Final = server_id in await global_mcp_server_manager.operator_open_server_ids( + auth + ) or await MCPRequestHandler.admin_view_unscoped(auth) allowed: Final[set[str]] = set() for source, granted in await MCPRequestHandler.admitted_source_grants(auth): @@ -2723,6 +2727,32 @@ class MCPRequestHandler: entitled_servers: Final = await MCPRequestHandler._get_allowed_mcp_servers_for_user(user_api_key_auth) return entitled_servers is None or len(entitled_servers) > 0 + @staticmethod + async def admin_view_unscoped(user_api_key_auth: UserAPIKeyAuth | None = None) -> bool: + """Whether this principal's admin-view role grants the unscoped MCP resolution, whatever + credential carries it (admin key, dashboard session, or OAuth-admitted session subject). + + Two bounds disqualify, one per ownership of the row. A CREDENTIAL's explicit + ``object_permission.mcp_servers`` scope wins even for admins, including the empty list. An + admitted subject's object_permission is the user's own row, whose ``mcp_servers`` column is + [] by DB default, so for that shape the row binds through the entitlement ceiling instead + (any non-empty entitlement, or an unresolved one, disqualifies), exactly as + ``operator_open_server_ids`` reads the same row. The one owner of this predicate: the + server-axis registry resolution in ``get_allowed_mcp_servers`` and the tools-axis open + channel in ``_resolve_admitted_subject_tools`` both consult it, so the two axes cannot + disagree.""" + if user_api_key_auth is None or not user_api_key_has_admin_view(user_api_key_auth): + return False + object_permission: Final = user_api_key_auth.object_permission + credential_scoped: Final = ( + not _is_mcp_admitted_user_subject(user_api_key_auth) + and object_permission is not None + and object_permission.mcp_servers is not None + ) + if credential_scoped: + return False + return not await MCPRequestHandler._user_places_mcp_ceiling(user_api_key_auth) + @staticmethod async def _apply_user_tool_ceiling( allowed_tools: Sequence[str] | None, diff --git a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py index 2994f98f309..aef4f5dc721 100644 --- a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py @@ -750,6 +750,55 @@ def _redirect_to_upstream_authorize( return RedirectResponse(urlunparse(parsed_auth_url._replace(query=urlencode(merged_params)))) +def _bridge_access_denied_redirect(redirect_uri: str, state: str, mcp_server: MCPServer) -> RedirectResponse: + """RFC 6749 section 4.1.2.1 denial for the interactive bridge authorize, delivered to the + already-validated client redirect_uri so a DCR client surfaces the failure at connect time.""" + server_label: Final = mcp_server.alias or mcp_server.server_name or mcp_server.server_id + params: Final = { + "error": "access_denied", + "error_description": ( + f"the signed-in user has no access to MCP server '{server_label}' on this gateway; " + "grant it through a team or user object permission, or mark the server allow_all_keys" + ), + **({"state": state} if state else {}), + } + return RedirectResponse(_append_query_params(redirect_uri, params), status_code=302) + + +async def _bridge_authorize_access_denial( + litellm_user_id: str, + mcp_server: MCPServer, + redirect_uri: str, + state: str, +) -> RedirectResponse | None: + """The denial redirect for a signed-in user who cannot reach the target server, or None to proceed. + + Admits the user exactly as MCP egress will (the same ``reload_admitted_user`` constructor and the + same ``get_allowed_mcp_servers`` resolver), so an envelope is minted only when the resulting + session can actually list and call the server's tools. Without this gate the flow completes, the + client shows connected, and every tool request fail-closes to an empty list with nothing telling + the operator why. An availability fault (5xx, e.g. a DB outage's 503) propagates; an unknown or + deactivated user denies like a missing grant, fail closed. + """ + from litellm.proxy._experimental.mcp_server.auth.user_api_key_auth_mcp import ( + MCPRequestHandler, + ) + from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( + global_mcp_server_manager, + ) + + try: + admitted: Final = await MCPRequestHandler.reload_admitted_user(litellm_user_id) + except HTTPException as exc: + if exc.status_code >= 500: + raise + return _bridge_access_denied_redirect(redirect_uri, state, mcp_server) + allowed_server_ids: Final = await global_mcp_server_manager.get_allowed_mcp_servers(admitted) + if mcp_server.server_id in allowed_server_ids: + return None + return _bridge_access_denied_redirect(redirect_uri, state, mcp_server) + + async def authorize_with_server( request: Request, mcp_server: MCPServer, @@ -819,6 +868,14 @@ async def authorize_with_server( litellm_user_id = _user_id_from_session_cookie(request) if litellm_user_id is None: return _redirect_to_litellm_login(request) + denial: Final = await _bridge_authorize_access_denial( + litellm_user_id=litellm_user_id, + mcp_server=mcp_server, + redirect_uri=redirect_uri, + state=state, + ) + if denial is not None: + return denial encoded_state: Final = encode_state_with_base_url( base_url=base_url, diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py index dbe97dd5bce..7ab26db0f3e 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py @@ -2943,17 +2943,14 @@ class MCPServerManager: 2. If admin and no object_permission, return all servers 3. Otherwise, use standard permission checks """ - from litellm.proxy.management_endpoints.common_utils import _user_has_admin_view - allow_all_server_ids: Final = self.get_allow_all_keys_server_ids() # A keyless admitted subject is resolved per grant source, and channel decisions that are # absolute for a scoped KEY credential are not absolute for it: its own opt-out silences its - # own source (handled per source in the resolver), never its teams' grants, and its admin - # role does not swallow the grant model — a session bearer is a third-party client - # credential, not the dashboard, so an admin signing in through the connect flow gets their - # grants like anyone else rather than handing the client the full registry ahead of every - # per-team org ceiling. + # own source (handled per source in the resolver), never its teams' grants. Its admin role + # rides the HUMAN, not the credential: an admin's session resolves the same registry their + # dashboard shows (connect-page parity), bounded like an admin key by explicit + # object_permission scope, the entitlement ceiling, and the session resource scope below. is_admitted_subject: Final = _is_mcp_admitted_user_subject(user_api_key_auth) # The key explicitly opted out of every MCP server. Return zero before @@ -2982,26 +2979,16 @@ class MCPServerManager: ) try: - # If admin but NO explicit object permission, get all servers (never for an admitted - # subject — see is_admitted_subject above) - if ( - user_api_key_auth - and not is_admitted_subject - and _user_has_admin_view(user_api_key_auth) - and not has_explicit_object_permission - # An entitlement attached to the HUMAN binds them whatever their role: it is the - # person's scope, not the credential's, so an admin role is not a waiver of it. An - # UNRESOLVED entitlement also skips the shortcut, so the resolver denies rather than - # handing over the whole registry on a transient fault. - and not await MCPRequestHandler._user_places_mcp_ceiling(user_api_key_auth) - ): - verbose_logger.debug("Admin user without explicit object_permission - returning all servers") - return list(self.get_registry().keys()) - - # Get allowed servers from object permissions (respects object_permission even for admins) - allowed_mcp_servers: Final = await MCPRequestHandler.get_allowed_mcp_servers(user_api_key_auth) - verbose_logger.debug("Allowed MCP Servers for user api key auth: %s", allowed_mcp_servers) - combined_servers: Final = set(allowed_mcp_servers) + # Admin view with no explicit object permission and no entitlement ceiling resolves the + # whole registry, for keys AND admitted session subjects alike (one predicate owns the + # question). Seeded into the union rather than returned early so the session resource + # scope below still bounds a per-server envelope held by an admin. + combined_servers: Final = ( + set(self.get_registry().keys()) + if await MCPRequestHandler.admin_view_unscoped(user_api_key_auth) + else set(await MCPRequestHandler.get_allowed_mcp_servers(user_api_key_auth)) + ) + verbose_logger.debug("Allowed MCP Servers for user api key auth: %s", combined_servers) combined_servers.update( await self.operator_open_server_ids( user_api_key_auth, diff --git a/litellm/proxy/_experimental/mcp_server/oauth_utils.py b/litellm/proxy/_experimental/mcp_server/oauth_utils.py index a30b5ee9e49..1ca2ffc703d 100644 --- a/litellm/proxy/_experimental/mcp_server/oauth_utils.py +++ b/litellm/proxy/_experimental/mcp_server/oauth_utils.py @@ -180,6 +180,22 @@ def well_known_root_suffix() -> str: return "" if root == "/" else root +def get_route_relative_request_path(scope: Scope) -> str: + """The request path the MCP route shapes are written against: the raw ASGI path with the + deployment's ``root_path`` removed. + + ``scope["path"]`` and ``_original_path`` are both raw request-line paths, so on a sub-path + deployment they still carry the ``SERVER_ROOT_PATH`` prefix (``/litellm/{server}/mcp``) while + every route shape compared against them is root-relative. Mirrors the segment-boundary strip in + :func:`litellm.proxy.auth.auth_utils.get_request_route`, which the rest of the MCP auth path + already routes through, so ``/litellmfoo`` is not truncated under ``root_path=/litellm``.""" + raw_path = str(scope.get("_original_path") or scope.get("path", "") or "") + root_path = str(scope.get("app_root_path") or scope.get("root_path") or "").rstrip("/") + if root_path and (raw_path == root_path or raw_path.startswith(f"{root_path}/")): + return raw_path[len(root_path) :] + return raw_path + + def get_passthrough_resource_metadata_url(scope: Scope, server_name: str) -> str: """The per-server protected-resource metadata URL matching the spelling the request arrived on, so a strict RFC 9728 client resolves the same route the proxy registered. @@ -188,7 +204,7 @@ def get_passthrough_resource_metadata_url(scope: Scope, server_name: str) -> str the route decorators insert it (see :func:`well_known_root_suffix`).""" request: Final = Request(scope) base_url: Final = get_request_base_url(request) - _path: Final = scope.get("_original_path") or scope.get("path", "") or "" + _path: Final = get_route_relative_request_path(scope) if _path.startswith(f"/{server_name}/mcp"): return f"{base_url}/.well-known/oauth-protected-resource{well_known_root_suffix()}/{server_name}/mcp" diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py index 0dc85c0318c..3c6eb06bc71 100644 --- a/litellm/proxy/_experimental/mcp_server/server.py +++ b/litellm/proxy/_experimental/mcp_server/server.py @@ -51,6 +51,8 @@ from litellm.proxy._experimental.mcp_server.mcp_debug import MCPDebug from litellm.proxy._experimental.mcp_server.oauth_utils import ( _redact_mcp_resource_url, get_passthrough_www_authenticate, + get_route_relative_request_path, + well_known_root_suffix, ) from litellm.proxy._experimental.mcp_server.utils import ( LITELLM_MCP_SERVER_DESCRIPTION, @@ -3782,14 +3784,15 @@ if MCP_AVAILABLE: request = StarletteRequest(scope) base_url = get_request_base_url(request) - _path = scope.get("_original_path") or scope.get("path", "") or "" + _path = get_route_relative_request_path(scope) # Pick the well-known AS-metadata form that matches the inbound route # so strict RFC 9728 §3.2 clients can resolve it correctly. + as_metadata_root = f"{base_url}/.well-known/oauth-authorization-server{well_known_root_suffix()}" if _path.startswith(f"/mcp/{server_name}"): - _as_url = f"{base_url}/.well-known/oauth-authorization-server/mcp/{server_name}" + _as_url = f"{as_metadata_root}/mcp/{server_name}" else: - _as_url = f"{base_url}/.well-known/oauth-authorization-server/{server_name}" + _as_url = f"{as_metadata_root}/{server_name}" authorization_uri = f'Bearer authorization_uri="{_as_url}"' raise HTTPException( diff --git a/litellm/proxy/_experimental/mcp_server/ui_session_utils.py b/litellm/proxy/_experimental/mcp_server/ui_session_utils.py index 5ee118fb693..188bfce1484 100644 --- a/litellm/proxy/_experimental/mcp_server/ui_session_utils.py +++ b/litellm/proxy/_experimental/mcp_server/ui_session_utils.py @@ -91,7 +91,7 @@ async def admitted_user_context(user_api_key_auth: UserAPIKeyAuth) -> UserAPIKey ) try: - admitted: Final = await MCPRequestHandler._reload_admitted_user(user_id) + admitted: Final = await MCPRequestHandler.reload_admitted_user(user_id) except HTTPException as e: verbose_logger.warning("MCP dashboard session: admitted-subject reload failed for %s: %s", user_id, e.detail) return None diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404.html index a7d19a9e907..52c40147a20 100644 --- a/litellm/proxy/_experimental/out/404.html +++ b/litellm/proxy/_experimental/out/404.html @@ -1 +1 @@ -404: This page could not be found.LiteLLM Dashboard

404

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\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

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404

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\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

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Total Per Request
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-result = client.images.generate( - model="${j}", - prompt="${n}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${v}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${j}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - 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Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`;break;case r.IMAGE_EDITS:t="azure"===g?` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# The prompt entered by the user -prompt = "${v}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${j}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`:` -import base64 -import os -import time - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${v}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${j}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. 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var(--color-teal-300) 40%, transparent)}}.bg-cyan-500.bg-opacity-10{background-color:#00b7d71a}@supports (color:color-mix(in lab, red, red)){.bg-cyan-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-cyan-500) 10%, transparent)}}.bg-cyan-500.bg-opacity-20{background-color:#00b7d733}@supports (color:color-mix(in lab, red, red)){.bg-cyan-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-cyan-500) 20%, transparent)}}.bg-cyan-500.bg-opacity-40{background-color:#00b7d766}@supports (color:color-mix(in lab, red, red)){.bg-cyan-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-cyan-500) 40%, transparent)}}.hover\:bg-cyan-500.hover\:bg-opacity-20:hover{background-color:#00b7d733}@supports (color:color-mix(in lab, red, red)){.hover\:bg-cyan-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-cyan-500) 20%, transparent)}}.group:hover .bg-cyan-500.group-hover\:bg-opacity-30{background-color:#00b7d74d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-cyan-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-cyan-500) 30%, transparent)}}.ring-cyan-500.ring-opacity-20{--tw-ring-color:#00b7d733}@supports (color:color-mix(in lab, red, red)){.ring-cyan-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-cyan-500) 20%, transparent)}}.ring-cyan-300.ring-opacity-40{--tw-ring-color:#53eafd66}@supports (color:color-mix(in lab, red, red)){.ring-cyan-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-cyan-300) 40%, transparent)}}.bg-sky-500.bg-opacity-10{background-color:#00a5ef1a}@supports (color:color-mix(in lab, red, red)){.bg-sky-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-sky-500) 10%, transparent)}}.bg-sky-500.bg-opacity-20{background-color:#00a5ef33}@supports (color:color-mix(in lab, red, red)){.bg-sky-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-sky-500) 20%, transparent)}}.bg-sky-500.bg-opacity-40{background-color:#00a5ef66}@supports (color:color-mix(in lab, red, red)){.bg-sky-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-sky-500) 40%, transparent)}}.hover\:bg-sky-500.hover\:bg-opacity-20:hover{background-color:#00a5ef33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-sky-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-sky-500) 20%, transparent)}}.group:hover .bg-sky-500.group-hover\:bg-opacity-30{background-color:#00a5ef4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-sky-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-sky-500) 30%, transparent)}}.ring-sky-500.ring-opacity-20{--tw-ring-color:#00a5ef33}@supports (color:color-mix(in lab, red, red)){.ring-sky-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-sky-500) 20%, transparent)}}.ring-sky-300.ring-opacity-40{--tw-ring-color:#77d4ff66}@supports (color:color-mix(in lab, red, red)){.ring-sky-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-sky-300) 40%, transparent)}}.bg-blue-500.bg-opacity-10{background-color:#3080ff1a}@supports (color:color-mix(in lab, red, red)){.bg-blue-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-blue-500) 10%, transparent)}}.bg-blue-500.bg-opacity-20{background-color:#3080ff33}@supports (color:color-mix(in lab, red, red)){.bg-blue-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-blue-500) 20%, transparent)}}.bg-blue-500.bg-opacity-40{background-color:#3080ff66}@supports (color:color-mix(in lab, red, red)){.bg-blue-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-blue-500) 40%, transparent)}}.hover\:bg-blue-500.hover\:bg-opacity-20:hover{background-color:#3080ff33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-blue-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-blue-500) 20%, transparent)}}.group:hover .bg-blue-500.group-hover\:bg-opacity-30{background-color:#3080ff4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-blue-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-blue-500) 30%, transparent)}}.ring-blue-500.ring-opacity-20{--tw-ring-color:#3080ff33}@supports (color:color-mix(in lab, red, red)){.ring-blue-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-blue-500) 20%, transparent)}}.ring-blue-300.ring-opacity-40{--tw-ring-color:#90c5ff66}@supports (color:color-mix(in lab, red, red)){.ring-blue-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-blue-300) 40%, transparent)}}.bg-indigo-500.bg-opacity-10{background-color:#625fff1a}@supports (color:color-mix(in lab, red, red)){.bg-indigo-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-indigo-500) 10%, transparent)}}.bg-indigo-500.bg-opacity-20{background-color:#625fff33}@supports (color:color-mix(in lab, red, red)){.bg-indigo-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-indigo-500) 20%, transparent)}}.bg-indigo-500.bg-opacity-40{background-color:#625fff66}@supports (color:color-mix(in lab, red, red)){.bg-indigo-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-indigo-500) 40%, transparent)}}.hover\:bg-indigo-500.hover\:bg-opacity-20:hover{background-color:#625fff33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-indigo-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-indigo-500) 20%, transparent)}}.group:hover .bg-indigo-500.group-hover\:bg-opacity-30{background-color:#625fff4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-indigo-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-indigo-500) 30%, transparent)}}.ring-indigo-500.ring-opacity-20{--tw-ring-color:#625fff33}@supports (color:color-mix(in lab, red, red)){.ring-indigo-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-indigo-500) 20%, transparent)}}.ring-indigo-300.ring-opacity-40{--tw-ring-color:#a4b3ff66}@supports (color:color-mix(in lab, red, red)){.ring-indigo-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-indigo-300) 40%, transparent)}}.bg-violet-500.bg-opacity-10{background-color:#8d54ff1a}@supports (color:color-mix(in lab, red, red)){.bg-violet-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-violet-500) 10%, transparent)}}.bg-violet-500.bg-opacity-20{background-color:#8d54ff33}@supports (color:color-mix(in lab, red, red)){.bg-violet-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-violet-500) 20%, transparent)}}.bg-violet-500.bg-opacity-40{background-color:#8d54ff66}@supports (color:color-mix(in lab, red, red)){.bg-violet-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-violet-500) 40%, transparent)}}.hover\:bg-violet-500.hover\:bg-opacity-20:hover{background-color:#8d54ff33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-violet-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-violet-500) 20%, transparent)}}.group:hover .bg-violet-500.group-hover\:bg-opacity-30{background-color:#8d54ff4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-violet-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-violet-500) 30%, transparent)}}.ring-violet-500.ring-opacity-20{--tw-ring-color:#8d54ff33}@supports (color:color-mix(in lab, red, red)){.ring-violet-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-violet-500) 20%, transparent)}}.ring-violet-300.ring-opacity-40{--tw-ring-color:#c4b4ff66}@supports (color:color-mix(in lab, red, red)){.ring-violet-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-violet-300) 40%, transparent)}}.bg-purple-500.bg-opacity-10{background-color:#ac4bff1a}@supports (color:color-mix(in lab, red, red)){.bg-purple-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-purple-500) 10%, transparent)}}.bg-purple-500.bg-opacity-20{background-color:#ac4bff33}@supports (color:color-mix(in lab, red, red)){.bg-purple-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-purple-500) 20%, transparent)}}.bg-purple-500.bg-opacity-40{background-color:#ac4bff66}@supports (color:color-mix(in lab, red, red)){.bg-purple-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-purple-500) 40%, transparent)}}.hover\:bg-purple-500.hover\:bg-opacity-20:hover{background-color:#ac4bff33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-purple-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-purple-500) 20%, transparent)}}.group:hover .bg-purple-500.group-hover\:bg-opacity-30{background-color:#ac4bff4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-purple-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-purple-500) 30%, transparent)}}.ring-purple-500.ring-opacity-20{--tw-ring-color:#ac4bff33}@supports (color:color-mix(in lab, red, red)){.ring-purple-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-purple-500) 20%, transparent)}}.ring-purple-300.ring-opacity-40{--tw-ring-color:#d9b3ff66}@supports (color:color-mix(in lab, red, red)){.ring-purple-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-purple-300) 40%, transparent)}}.bg-fuchsia-500.bg-opacity-10{background-color:#e12afb1a}@supports (color:color-mix(in lab, red, red)){.bg-fuchsia-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-fuchsia-500) 10%, transparent)}}.bg-fuchsia-500.bg-opacity-20{background-color:#e12afb33}@supports (color:color-mix(in lab, red, red)){.bg-fuchsia-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-fuchsia-500) 20%, transparent)}}.bg-fuchsia-500.bg-opacity-40{background-color:#e12afb66}@supports (color:color-mix(in lab, red, red)){.bg-fuchsia-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-fuchsia-500) 40%, transparent)}}.hover\:bg-fuchsia-500.hover\:bg-opacity-20:hover{background-color:#e12afb33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-fuchsia-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-fuchsia-500) 20%, transparent)}}.group:hover .bg-fuchsia-500.group-hover\:bg-opacity-30{background-color:#e12afb4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-fuchsia-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-fuchsia-500) 30%, transparent)}}.ring-fuchsia-500.ring-opacity-20{--tw-ring-color:#e12afb33}@supports (color:color-mix(in lab, red, red)){.ring-fuchsia-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-fuchsia-500) 20%, transparent)}}.ring-fuchsia-300.ring-opacity-40{--tw-ring-color:#f2a9ff66}@supports (color:color-mix(in lab, red, red)){.ring-fuchsia-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-fuchsia-300) 40%, transparent)}}.bg-pink-500.bg-opacity-10{background-color:#f6339a1a}@supports (color:color-mix(in lab, red, red)){.bg-pink-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-pink-500) 10%, transparent)}}.bg-pink-500.bg-opacity-20{background-color:#f6339a33}@supports (color:color-mix(in lab, red, red)){.bg-pink-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-pink-500) 20%, transparent)}}.bg-pink-500.bg-opacity-40{background-color:#f6339a66}@supports (color:color-mix(in lab, red, red)){.bg-pink-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-pink-500) 40%, transparent)}}.hover\:bg-pink-500.hover\:bg-opacity-20:hover{background-color:#f6339a33}@supports (color:color-mix(in lab, red, red)){.hover\:bg-pink-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-pink-500) 20%, transparent)}}.group:hover .bg-pink-500.group-hover\:bg-opacity-30{background-color:#f6339a4d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-pink-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-pink-500) 30%, transparent)}}.ring-pink-500.ring-opacity-20{--tw-ring-color:#f6339a33}@supports (color:color-mix(in lab, red, red)){.ring-pink-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-pink-500) 20%, transparent)}}.ring-pink-300.ring-opacity-40{--tw-ring-color:#fda5d566}@supports (color:color-mix(in lab, red, red)){.ring-pink-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-pink-300) 40%, transparent)}}.bg-rose-500.bg-opacity-10{background-color:#ff23571a}@supports (color:color-mix(in lab, red, red)){.bg-rose-500.bg-opacity-10{background-color:color-mix(in oklab, var(--color-rose-500) 10%, transparent)}}.bg-rose-500.bg-opacity-20{background-color:#ff235733}@supports (color:color-mix(in lab, red, red)){.bg-rose-500.bg-opacity-20{background-color:color-mix(in oklab, var(--color-rose-500) 20%, transparent)}}.bg-rose-500.bg-opacity-40{background-color:#ff235766}@supports (color:color-mix(in lab, red, red)){.bg-rose-500.bg-opacity-40{background-color:color-mix(in oklab, var(--color-rose-500) 40%, transparent)}}.hover\:bg-rose-500.hover\:bg-opacity-20:hover{background-color:#ff235733}@supports (color:color-mix(in lab, red, red)){.hover\:bg-rose-500.hover\:bg-opacity-20:hover{background-color:color-mix(in oklab, var(--color-rose-500) 20%, transparent)}}.group:hover .bg-rose-500.group-hover\:bg-opacity-30{background-color:#ff23574d}@supports (color:color-mix(in lab, red, red)){.group:hover .bg-rose-500.group-hover\:bg-opacity-30{background-color:color-mix(in oklab, var(--color-rose-500) 30%, transparent)}}.ring-rose-500.ring-opacity-20{--tw-ring-color:#ff235733}@supports (color:color-mix(in lab, red, red)){.ring-rose-500.ring-opacity-20{--tw-ring-color:color-mix(in oklab, var(--color-rose-500) 20%, transparent)}}.ring-rose-300.ring-opacity-40{--tw-ring-color:#ffa2ae66}@supports (color:color-mix(in lab, red, red)){.ring-rose-300.ring-opacity-40{--tw-ring-color:color-mix(in oklab, var(--color-rose-300) 40%, transparent)}}}@property --tw-animation-delay{syntax:"*";inherits:false;initial-value:0s}@property --tw-animation-direction{syntax:"*";inherits:false;initial-value:normal}@property --tw-animation-duration{syntax:"*";inherits:false}@property --tw-animation-fill-mode{syntax:"*";inherits:false;initial-value:none}@property --tw-animation-iteration-count{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-blur{syntax:"*";inherits:false;initial-value:0}@property --tw-enter-opacity{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-rotate{syntax:"*";inherits:false;initial-value:0}@property --tw-enter-scale{syntax:"*";inherits:false;initial-value:1}@property --tw-enter-translate-x{syntax:"*";inherits:false;initial-value:0}@property --tw-enter-translate-y{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-blur{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-opacity{syntax:"*";inherits:false;initial-value:1}@property --tw-exit-rotate{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-scale{syntax:"*";inherits:false;initial-value:1}@property --tw-exit-translate-x{syntax:"*";inherits:false;initial-value:0}@property --tw-exit-translate-y{syntax:"*";inherits:false;initial-value:0}@property --scroll-fade-e{syntax:"";inherits:false;initial-value:0}@property 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Context to Preserve -User preferences or style requirements -Domain-specific details that aren't obvious -Any promises made to the user -Be concise but complete—err on the side of including information that would prevent duplicate work or repeated mistakes. Write in a way that enables immediate resumption of the task. -Wrap your summary in tags.`;function rb(){let e,t;return{promise:new Promise((s,r)=>{e=s,t=r}),resolve:e,reject:t}}class rv{constructor(e,t,s){M.add(this),this.client=e,$.set(this,!1),O.set(this,!1),L.set(this,void 0),U.set(this,void 0),D.set(this,void 0),B.set(this,void 0),z.set(this,void 0),q.set(this,0),tK(this,L,{params:{...t,messages:structuredClone(t.messages)}},"f");const r=["BetaToolRunner",...s3(t.tools,t.messages)].join(", ");tK(this,U,{...s,headers:sQ([{"x-stainless-helper":r},s?.headers])},"f"),tK(this,z,rb(),"f"),t.compactionControl?.enabled&&console.warn('Anthropic: The `compactionControl` parameter is deprecated and will be removed in a future version. 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this._client.getAPIList("/v1/sessions?beta=true",sU,{query:r,...t,headers:sQ([{"anthropic-beta":[...s??[],"managed-agents-2026-04-01"].toString()},t?.headers])})}delete(e,t={},s){let{betas:r}=t??{};return this._client.delete(s1`/v1/sessions/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}archive(e,t={},s){let{betas:r}=t??{};return this._client.post(s1`/v1/sessions/${e}/archive?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}}rT.Events=rk,rT.Resources=rC;class rE extends sX{create(e,t={},s){let{betas:r,...a}=t??{};return this._client.post(s1`/v1/skills/${e}/versions?beta=true`,sF({body:a,...s,headers:sQ([{"anthropic-beta":[...r??[],"skills-2025-10-02"].toString()},s?.headers])},this._client))}retrieve(e,t,s){let{skill_id:r,betas:a}=t;return this._client.get(s1`/v1/skills/${r}/versions/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...a??[],"skills-2025-10-02"].toString()},s?.headers])})}list(e,t={},s){let{betas:r,...a}=t??{};return this._client.getAPIList(s1`/v1/skills/${e}/versions?beta=true`,sU,{query:a,...s,headers:sQ([{"anthropic-beta":[...r??[],"skills-2025-10-02"].toString()},s?.headers])})}delete(e,t,s){let{skill_id:r,betas:a}=t;return this._client.delete(s1`/v1/skills/${r}/versions/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...a??[],"skills-2025-10-02"].toString()},s?.headers])})}}class rA extends sX{constructor(){super(...arguments),this.versions=new rE(this._client)}create(e={},t){let{betas:s,...r}=e??{};return this._client.post("/v1/skills?beta=true",sF({body:r,...t,headers:sQ([{"anthropic-beta":[...s??[],"skills-2025-10-02"].toString()},t?.headers])},this._client,!1))}retrieve(e,t={},s){let{betas:r}=t??{};return this._client.get(s1`/v1/skills/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...r??[],"skills-2025-10-02"].toString()},s?.headers])})}list(e={},t){let{betas:s,...r}=e??{};return this._client.getAPIList("/v1/skills?beta=true",sU,{query:r,...t,headers:sQ([{"anthropic-beta":[...s??[],"skills-2025-10-02"].toString()},t?.headers])})}delete(e,t={},s){let{betas:r}=t??{};return this._client.delete(s1`/v1/skills/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...r??[],"skills-2025-10-02"].toString()},s?.headers])})}}rA.Versions=rE;class rP extends sX{create(e,t,s){let{betas:r,...a}=t;return this._client.post(s1`/v1/vaults/${e}/credentials?beta=true`,{body:a,...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}retrieve(e,t,s){let{vault_id:r,betas:a}=t;return this._client.get(s1`/v1/vaults/${r}/credentials/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...a??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}update(e,t,s){let{vault_id:r,betas:a,...n}=t;return this._client.post(s1`/v1/vaults/${r}/credentials/${e}?beta=true`,{body:n,...s,headers:sQ([{"anthropic-beta":[...a??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}list(e,t={},s){let{betas:r,...a}=t??{};return this._client.getAPIList(s1`/v1/vaults/${e}/credentials?beta=true`,sU,{query:a,...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}delete(e,t,s){let{vault_id:r,betas:a}=t;return this._client.delete(s1`/v1/vaults/${r}/credentials/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...a??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}archive(e,t,s){let{vault_id:r,betas:a}=t;return this._client.post(s1`/v1/vaults/${r}/credentials/${e}/archive?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...a??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}}class rI extends sX{constructor(){super(...arguments),this.credentials=new rP(this._client)}create(e,t){let{betas:s,...r}=e;return this._client.post("/v1/vaults?beta=true",{body:r,...t,headers:sQ([{"anthropic-beta":[...s??[],"managed-agents-2026-04-01"].toString()},t?.headers])})}retrieve(e,t={},s){let{betas:r}=t??{};return this._client.get(s1`/v1/vaults/${e}?beta=true`,{...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}update(e,t,s){let{betas:r,...a}=t;return this._client.post(s1`/v1/vaults/${e}?beta=true`,{body:a,...s,headers:sQ([{"anthropic-beta":[...r??[],"managed-agents-2026-04-01"].toString()},s?.headers])})}list(e={},t){let{betas:s,...r}=e??{};return 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t0("stream ended without producing a Message with role=assistant");return this.receivedMessages.at(-1)},ec=function(){if(0===this.receivedMessages.length)throw new t0("stream ended without producing a Message with role=assistant");let e=this.receivedMessages.at(-1).content.filter(e=>"text"===e.type).map(e=>e.text);if(0===e.length)throw new t0("stream ended without producing a content block with type=text");return e.join(" ")},eu=function(){this.ended||tK(this,H,void 0,"f")},em=function(e){if(this.ended)return;let t=tX(this,V,"m",ep).call(this,e);switch(this._emit("streamEvent",e,t),e.type){case"content_block_delta":{let 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0,"f"),r$(e,tX(this,G,"f"),{logger:tX(this,el,"f")})},ep=function(e){let t=tX(this,H,"f");if("message_start"===e.type){if(t)throw new t0(`Unexpected event order, got ${e.type} before receiving "message_stop"`);return e.message}if(!t)throw new t0(`Unexpected event order, got ${e.type} before "message_start"`);switch(e.type){case"message_stop":case"content_block_stop":return t;case"message_delta":return t.stop_reason=e.delta.stop_reason,t.stop_sequence=e.delta.stop_sequence,t.usage.output_tokens=e.usage.output_tokens,null!=e.usage.input_tokens&&(t.usage.input_tokens=e.usage.input_tokens),null!=e.usage.cache_creation_input_tokens&&(t.usage.cache_creation_input_tokens=e.usage.cache_creation_input_tokens),null!=e.usage.cache_read_input_tokens&&(t.usage.cache_read_input_tokens=e.usage.cache_read_input_tokens),null!=e.usage.server_tool_use&&(t.usage.server_tool_use=e.usage.server_tool_use),t;case"content_block_start":return t.content.push({...e.content_block}),t;case"content_block_delta":{let s=t.content.at(e.index);switch(e.delta.type){case"text_delta":s?.type==="text"&&(t.content[e.index]={...s,text:(s.text||"")+e.delta.text});break;case"citations_delta":s?.type==="text"&&(t.content[e.index]={...s,citations:[...s.citations??[],e.delta.citation]});break;case"input_json_delta":if(s&&rU(s)){let r=s[rL]||"";r+=e.delta.partial_json;let a={...s};Object.defineProperty(a,rL,{value:r,enumerable:!1,writable:!0}),r&&(a.input=rm(r)),t.content[e.index]=a}break;case"thinking_delta":s?.type==="thinking"&&(t.content[e.index]={...s,thinking:s.thinking+e.delta.thinking});break;case"signature_delta":s?.type==="thinking"&&(t.content[e.index]={...s,signature:e.delta.signature});break;default:rB(e.delta)}return t}}},Symbol.asyncIterator)](){let e=[],t=[],s=!1;return this.on("streamEvent",s=>{let r=t.shift();r?r.resolve(s):e.push(s)}),this.on("end",()=>{for(let e of(s=!0,t))e.resolve(void 0);t.length=0}),this.on("abort",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),this.on("error",e=>{for(let r of(s=!0,t))r.reject(e);t.length=0}),{next:async()=>e.length?{value:e.shift(),done:!1}:s?{value:void 0,done:!0}:new Promise((e,s)=>t.push({resolve:e,reject:s})).then(e=>e?{value:e,done:!1}:{value:void 0,done:!0}),return:async()=>(this.abort(),{value:void 0,done:!0})}}toReadableStream(){return new sT(this[Symbol.asyncIterator].bind(this),this.controller).toReadableStream()}}function rB(e){}class rz extends sX{create(e,t){return this._client.post("/v1/messages/batches",{body:e,...t})}retrieve(e,t){return this._client.get(s1`/v1/messages/batches/${e}`,t)}list(e={},t){return this._client.getAPIList("/v1/messages/batches",sL,{query:e,...t})}delete(e,t){return this._client.delete(s1`/v1/messages/batches/${e}`,t)}cancel(e,t){return this._client.post(s1`/v1/messages/batches/${e}/cancel`,t)}async results(e,t){let s=await this.retrieve(e);if(!s.results_url)throw new t0(`No batch \`results_url\`; Has it finished processing? 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Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information.`),rW.includes(e.model)&&e.thinking&&"enabled"===e.thinking.type&&console.warn(`Using Claude with ${e.model} and 'thinking.type=enabled' is deprecated. Use 'thinking.type=adaptive' instead which results in better model performance in our testing: https://platform.claude.com/docs/en/build-with-claude/adaptive-thinking`);let s=this._client._options.timeout;if(!e.stream&&null==s){let t=rl[e.model]??void 0;s=this._client.calculateNonstreamingTimeout(e.max_tokens,t)}let r=s6(e.tools,e.messages);return this._client.post("/v1/messages",{body:e,timeout:s??6e5,...t,headers:sQ([r,t?.headers]),stream:e.stream??!1})}parse(e,t){return this.create(e,t).then(t=>rO(t,e,{logger:this._client.logger??console}))}stream(e,t){return rD.createMessage(this,e,t,{logger:this._client.logger??console})}countTokens(e,t){return this._client.post("/v1/messages/count_tokens",{body:e,...t})}}let rF={"claude-1.3":"November 6th, 2024","claude-1.3-100k":"November 6th, 2024","claude-instant-1.1":"November 6th, 2024","claude-instant-1.1-100k":"November 6th, 2024","claude-instant-1.2":"November 6th, 2024","claude-3-sonnet-20240229":"July 21st, 2025","claude-3-opus-20240229":"January 5th, 2026","claude-2.1":"July 21st, 2025","claude-2.0":"July 21st, 2025","claude-3-7-sonnet-latest":"February 19th, 2026","claude-3-7-sonnet-20250219":"February 19th, 2026","claude-3-5-haiku-latest":"February 19th, 2026","claude-3-5-haiku-20241022":"February 19th, 2026","claude-opus-4-0":"June 15th, 2026","claude-opus-4-20250514":"June 15th, 2026","claude-sonnet-4-0":"June 15th, 2026","claude-sonnet-4-20250514":"June 15th, 2026"},rW=["claude-mythos-preview","claude-opus-4-6"];rq.Batches=rz;class rV extends sX{retrieve(e,t={},s){let{betas:r}=t??{};return this._client.get(s1`/v1/models/${e}`,{...s,headers:sQ([{...r?.toString()!=null?{"anthropic-beta":r?.toString()}:void 0},s?.headers])})}list(e={},t){let{betas:s,...r}=e??{};return this._client.getAPIList("/v1/models",sL,{query:r,...t,headers:sQ([{...s?.toString()!=null?{"anthropic-beta":s?.toString()}:void 0},t?.headers])})}}class rH extends sX{create(e,t){let{betas:s,...r}=e;return this._client.post("/v1/complete",{body:r,timeout:this._client._options.timeout??6e5,...t,headers:sQ([{...s?.toString()!=null?{"anthropic-beta":s?.toString()}:void 0},t?.headers]),stream:e.stream??!1})}}let rG=e=>void 0!==globalThis.process?globalThis.process.env?.[e]?.trim()||void 0:void 0!==globalThis.Deno&&globalThis.Deno.env?.get?.(e)?.trim()||void 0;class rJ{constructor({baseURL:e=rG("ANTHROPIC_BASE_URL"),apiKey:t=rG("ANTHROPIC_API_KEY")??null,authToken:s=rG("ANTHROPIC_AUTH_TOKEN")??null,...r}={}){eg.add(this),ex.set(this,void 0);const a={apiKey:t,authToken:s,...r,baseURL:e||"https://api.anthropic.com"};if(!a.dangerouslyAllowBrowser&&"u">typeof window&&void 0!==window.document&&"u">typeof navigator)throw new t0("It looks like you're running in a browser-like environment.\n\nThis is disabled by default, as it risks exposing your secret API credentials to attackers.\nIf you understand the risks and have appropriate mitigations in place,\nyou can set the `dangerouslyAllowBrowser` option to `true`, e.g.,\n\nnew Anthropic({ apiKey, dangerouslyAllowBrowser: true });\n");this.baseURL=a.baseURL,this.timeout=a.timeout??ef.DEFAULT_TIMEOUT,this.logger=a.logger??console;const n="warn";this.logLevel=n,this.logLevel=sj(a.logLevel,"ClientOptions.logLevel",this)??sj(rG("ANTHROPIC_LOG"),"process.env['ANTHROPIC_LOG']",this)??n,this.fetchOptions=a.fetchOptions,this.maxRetries=a.maxRetries??2,this.fetch=a.fetch??function(){if("u">typeof fetch)return fetch;throw Error("`fetch` is not defined as a global; Either pass `fetch` to the client, `new Anthropic({ fetch })` or polyfill the global, `globalThis.fetch = fetch`")}(),tK(this,ex,sf,"f");const i=rG("ANTHROPIC_CUSTOM_HEADERS");if(i){const e={};for(const t of i.split("\n")){const s=t.indexOf(":");s>=0&&(e[t.substring(0,s).trim()]=t.substring(s+1).trim())}a.defaultHeaders={...e,...a.defaultHeaders}}this._options=a,this.apiKey="string"==typeof t?t:null,this.authToken=s}withOptions(e){return new this.constructor({...this._options,baseURL:this.baseURL,maxRetries:this.maxRetries,timeout:this.timeout,logger:this.logger,logLevel:this.logLevel,fetch:this.fetch,fetchOptions:this.fetchOptions,apiKey:this.apiKey,authToken:this.authToken,...e})}defaultQuery(){return this._options.defaultQuery}validateHeaders({values:e,nulls:t}){if(!(e.get("x-api-key")||e.get("authorization")||this.apiKey&&e.get("x-api-key")||t.has("x-api-key")||this.authToken&&e.get("authorization"))&&!t.has("authorization"))throw Error('Could not resolve authentication method. 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See https://github.com/anthropics/anthropic-sdk-typescript#streaming-responses for more details");return 6e5}async prepareOptions(e){}async prepareRequest(e,{url:t,options:s}){}get(e,t){return this.methodRequest("get",e,t)}post(e,t){return this.methodRequest("post",e,t)}patch(e,t){return this.methodRequest("patch",e,t)}put(e,t){return this.methodRequest("put",e,t)}delete(e,t){return this.methodRequest("delete",e,t)}methodRequest(e,t,s){return this.request(Promise.resolve(s).then(s=>({method:e,path:t,...s})))}request(e,t=null){return new sM(this,this.makeRequest(e,t,void 0))}async makeRequest(e,t,s){let r=await e,a=r.maxRetries??this.maxRetries;null==t&&(t=a),await this.prepareOptions(r);let{req:n,url:i,timeout:l}=await this.buildRequest(r,{retryCount:a-t});await this.prepareRequest(n,{url:i,options:r});let o="log_"+(0x1000000*Math.random()|0).toString(16).padStart(6,"0"),c=void 0===s?"":`, retryOf: ${s}`,d=Date.now();if(sk(this).debug(`[${o}] sending request`,sC({retryOfRequestLogID:s,method:r.method,url:i,options:r,headers:n.headers})),r.signal?.aborted)throw new t2;let u=new AbortController,m=await this.fetchWithTimeout(i,n,l,u).catch(tZ),h=Date.now();if(m instanceof globalThis.Error){let e=`retrying, ${t} attempts remaining`;if(r.signal?.aborted)throw new t2;let a=tQ(m)||/timed? ?out/i.test(String(m)+("cause"in m?String(m.cause):""));if(t)return sk(this).info(`[${o}] connection ${a?"timed out":"failed"} - ${e}`),sk(this).debug(`[${o}] connection ${a?"timed out":"failed"} (${e})`,sC({retryOfRequestLogID:s,url:i,durationMs:h-d,message:m.message})),this.retryRequest(r,t,s??o);if(sk(this).info(`[${o}] connection ${a?"timed out":"failed"} - error; no more retries left`),sk(this).debug(`[${o}] connection ${a?"timed out":"failed"} (error; no more retries left)`,sC({retryOfRequestLogID:s,url:i,durationMs:h-d,message:m.message})),a)throw new t4;throw new t5({cause:m})}let p=[...m.headers.entries()].filter(([e])=>"request-id"===e).map(([e,t])=>", "+e+": "+JSON.stringify(t)).join(""),g=`[${o}${c}${p}] ${n.method} ${i} ${m.ok?"succeeded":"failed"} with status ${m.status} in ${h-d}ms`;if(!m.ok){let e=await this.shouldRetry(m);if(t&&e){let e=`retrying, ${t} attempts remaining`;return await sg(m.body),sk(this).info(`${g} - ${e}`),sk(this).debug(`[${o}] response error (${e})`,sC({retryOfRequestLogID:s,url:m.url,status:m.status,headers:m.headers,durationMs:h-d})),this.retryRequest(r,t,s??o,m.headers)}let a=e?"error; no more retries left":"error; not retryable";sk(this).info(`${g} - ${a}`);let n=await m.text().catch(e=>tZ(e).message),i=so(n),l=i?void 0:n;throw sk(this).debug(`[${o}] response error (${a})`,sC({retryOfRequestLogID:s,url:m.url,status:m.status,headers:m.headers,message:l,durationMs:Date.now()-d})),this.makeStatusError(m.status,i,l,m.headers)}return sk(this).info(g),sk(this).debug(`[${o}] response start`,sC({retryOfRequestLogID:s,url:m.url,status:m.status,headers:m.headers,durationMs:h-d})),{response:m,options:r,controller:u,requestLogID:o,retryOfRequestLogID:s,startTime:d}}getAPIList(e,t,s){return this.requestAPIList(t,s&&"then"in s?s.then(t=>({method:"get",path:e,...t})):{method:"get",path:e,...s})}requestAPIList(e,t){return new sO(this,this.makeRequest(t,null,void 0),e)}async fetchWithTimeout(e,t,s,r){let{signal:a,method:n,...i}=t||{},l=this._makeAbort(r);a&&a.addEventListener("abort",l,{once:!0});let o=setTimeout(l,s),c=globalThis.ReadableStream&&i.body instanceof globalThis.ReadableStream||"object"==typeof i.body&&null!==i.body&&Symbol.asyncIterator in i.body,d={signal:r.signal,...c?{duplex:"half"}:{},method:"GET",...i};n&&(d.method=n.toUpperCase());try{return await this.fetch.call(void 0,e,d)}finally{clearTimeout(o)}}async shouldRetry(e){let t=e.headers.get("x-should-retry");return"true"===t||"false"!==t&&(408===e.status||409===e.status||429===e.status||!!(e.status>=500))}async retryRequest(e,t,s,r){let a,n,i=r?.get("retry-after-ms");if(i){let e=parseFloat(i);Number.isNaN(e)||(a=e)}let l=r?.get("retry-after");if(l&&!a){let e=parseFloat(l);a=Number.isNaN(e)?Date.parse(l)-Date.now():1e3*e}if(void 0===a){let s=e.maxRetries??this.maxRetries;a=this.calculateDefaultRetryTimeoutMillis(t,s)}return await (n=a,new Promise(e=>setTimeout(e,n))),this.makeRequest(e,t-1,s)}calculateDefaultRetryTimeoutMillis(e,t){return Math.min(.5*Math.pow(2,t-e),8)*(1-.25*Math.random())*1e3}calculateNonstreamingTimeout(e,t){if(36e5*e/128e3>6e5||null!=t&&e>t)throw new t0("Streaming is required for operations that may take longer than 10 minutes. 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n={};this.idempotencyHeader&&"get"!==s&&(e.idempotencyKey||(e.idempotencyKey=this.defaultIdempotencyKey()),n[this.idempotencyHeader]=e.idempotencyKey);let i=sQ([n,{Accept:"application/json","User-Agent":this.getUserAgent(),"X-Stainless-Retry-Count":String(a),...e.timeout?{"X-Stainless-Timeout":String(Math.trunc(e.timeout/1e3))}:{},...t??(t=(()=>{let e="u">typeof Deno&&null!=Deno.build?"deno":"u">typeof EdgeRuntime?"edge":"[object process]"===Object.prototype.toString.call(void 0!==globalThis.process?globalThis.process:0)?"node":"unknown";if("deno"===e)return{"X-Stainless-Lang":"js","X-Stainless-Package-Version":sc,"X-Stainless-OS":su(Deno.build.os),"X-Stainless-Arch":sd(Deno.build.arch),"X-Stainless-Runtime":"deno","X-Stainless-Runtime-Version":"string"==typeof Deno.version?Deno.version:Deno.version?.deno??"unknown"};if("u">typeof EdgeRuntime)return{"X-Stainless-Lang":"js","X-Stainless-Package-Version":sc,"X-Stainless-OS":"Unknown","X-Stainless-Arch":`other:${EdgeRuntime}`,"X-Stainless-Runtime":"edge","X-Stainless-Runtime-Version":globalThis.process.version};if("node"===e)return{"X-Stainless-Lang":"js","X-Stainless-Package-Version":sc,"X-Stainless-OS":su(globalThis.process.platform??"unknown"),"X-Stainless-Arch":sd(globalThis.process.arch??"unknown"),"X-Stainless-Runtime":"node","X-Stainless-Runtime-Version":globalThis.process.version??"unknown"};let t=function(){if("u"e.abort()}buildBody({options:{body:e,headers:t}}){if(!e)return{bodyHeaders:void 0,body:void 0};let s=sQ([t]);return ArrayBuffer.isView(e)||e instanceof ArrayBuffer||e instanceof DataView||"string"==typeof e&&s.values.has("content-type")||globalThis.Blob&&e instanceof globalThis.Blob||e instanceof FormData||e instanceof URLSearchParams||globalThis.ReadableStream&&e instanceof globalThis.ReadableStream?{bodyHeaders:void 0,body:e}:"object"==typeof e&&(Symbol.asyncIterator in e||Symbol.iterator in e&&"next"in e&&"function"==typeof e.next)?{bodyHeaders:void 0,body:sh(e)}:"object"==typeof e&&"application/x-www-form-urlencoded"===s.values.get("content-type")?{bodyHeaders:{"content-type":"application/x-www-form-urlencoded"},body:this.stringifyQuery(e)}:tX(this,ex,"f").call(this,{body:e,headers:s})}}ef=rJ,ex=new WeakMap,eg=new WeakSet,ey=function(){return"https://api.anthropic.com"!==this.baseURL},rJ.Anthropic=ef,rJ.HUMAN_PROMPT="\\n\\nHuman:",rJ.AI_PROMPT="\\n\\nAssistant:",rJ.DEFAULT_TIMEOUT=6e5,rJ.AnthropicError=t0,rJ.APIError=t1,rJ.APIConnectionError=t5,rJ.APIConnectionTimeoutError=t4,rJ.APIUserAbortError=t2,rJ.NotFoundError=t7,rJ.ConflictError=t9,rJ.RateLimitError=st,rJ.BadRequestError=t3,rJ.AuthenticationError=t6,rJ.InternalServerError=ss,rJ.PermissionDeniedError=t8,rJ.UnprocessableEntityError=se,rJ.toFile=sJ;class rK extends rJ{constructor(){super(...arguments),this.completions=new rH(this),this.messages=new rq(this),this.models=new rV(this),this.beta=new rR(this)}}rK.Completions=rH,rK.Messages=rq,rK.Models=rV,rK.Beta=rR;let rX="toolset:";async function rY(e,t,s,r,a=[],n,i,l,o,c,d,u,m,h,p,g,f,x){if(!r)throw Error("Virtual Key is required");console.log=function(){};let y=p||(0,eD.getProxyBaseUrl)(),b={};a&&a.length>0&&(b["x-litellm-tags"]=a.join(","));let v=new rK({apiKey:r,baseURL:y,dangerouslyAllowBrowser:!0,defaultHeaders:b});try{let r=Date.now(),a=!1,p={model:s,messages:e.map(e=>({role:e.role,content:e.content})),stream:!0,max_tokens:1024,litellm_trace_id:c},y=function({selectedMCPServers:e,mcpServers:t,mcpToolsets:s,mcpServerToolRestrictions:r}){return e&&0!==e.length?e.includes("__all__")?[{type:"mcp",server_label:"litellm",server_url:"litellm_proxy/mcp",require_approval:"never"}]:e.map(e=>{if(e.startsWith(rX)){let t=e.slice(rX.length),r=s?.find(e=>e.toolset_id===t),a=r?.toolset_name||t;return{type:"mcp",server_label:a,server_url:`litellm_proxy/mcp/${a}`,require_approval:"never"}}let a=t?.find(t=>t.server_id===e),n=a?.server_name||e,i=r?.[e]||[];return{type:"mcp",server_label:n,server_url:`litellm_proxy/mcp/${n}`,require_approval:"never",...i.length>0?{allowed_tools:i}:{}}}):[]}({selectedMCPServers:h,mcpServers:g,mcpToolsets:x,mcpServerToolRestrictions:f});for await(let e of(y.length>0&&(p.tools=y),d&&(p.vector_store_ids=d),u&&(p.guardrails=u),m&&(p.policies=m),v.messages.stream(p,{signal:n}))){if("content_block_delta"===e.type){let n=e.delta;if(!a){a=!0;let e=Date.now()-r;l&&l(e)}"text_delta"===n.type?t("assistant",n.text,s):"reasoning_delta"===n.type&&i&&i(n.text)}if("message_delta"===e.type&&e.usage&&o){let t=e.usage,s={completionTokens:t.output_tokens,promptTokens:t.input_tokens,totalTokens:t.input_tokens+t.output_tokens,...(0,eG.extractPromptCacheTokens)(t)};o(s)}}}catch(e){throw n?.aborted||eU.default.fromBackend(`Error occurred while generating model response. 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Please try again. Error: ${e}`),e}}async function r1(e,t,s,r,a,n,i,l){console.log=function(){};let o=l||(0,eD.getProxyBaseUrl)(),c=new eH.default.OpenAI({apiKey:a,baseURL:o,dangerouslyAllowBrowser:!0,defaultHeaders:n&&n.length>0?{"x-litellm-tags":n.join(",")}:void 0});try{let a=Array.isArray(e)?e:[e],n=[];for(let e=0;e1&&eU.default.success(`Successfully processed ${n.length} images`)}catch(e){if(console.error("Error making image edit request:",e),i?.aborted);else{let t="Failed to edit image(s)";e?.error?.message?t=e.error.message:e?.message&&(t=e.message),eU.default.fromBackend(`Image edit failed: ${t}`)}throw e}}async function r2(e,t,s,r,a,n,i){console.log=function(){};let l=i||(0,eD.getProxyBaseUrl)(),o=new eH.default.OpenAI({apiKey:r,baseURL:l,dangerouslyAllowBrowser:!0,defaultHeaders:a&&a.length>0?{"x-litellm-tags":a.join(",")}:void 0});try{let r=await o.images.generate({model:s,prompt:e},{signal:n});if(r.data&&r.data[0])if(r.data[0].url)t(r.data[0].url,s);else if(r.data[0].b64_json){let e=r.data[0].b64_json;t(`data:image/png;base64,${e}`,s)}else throw Error("No image data found in response");else throw Error("Invalid response format")}catch(e){throw n?.aborted||eU.default.fromBackend(`Error occurred while generating image. 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E.164",jwt:"JWT",template_literal:"مدخل"},i=>{switch(i.code){case"invalid_type":return`مدخلات غير مقبولة: يفترض إدخال ${i.expected}، ولكن تم إدخال ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`مدخلات غير مقبولة: يفترض إدخال ${V.stringifyPrimitive(i.values[0])}`;return`اختيار غير مقبول: يتوقع انتقاء أحد هذه الخيارات: ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return` أكبر من اللازم: يفترض أن تكون ${i.origin??"القيمة"} ${t} ${i.maximum.toString()} ${r.unit??"عنصر"}`;return`أكبر من اللازم: يفترض أن تكون ${i.origin??"القيمة"} ${t} ${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`أصغر من اللازم: يفترض لـ ${i.origin} أن 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e,t;return{localeError:(e={string:{unit:"simvol",verb:"olmalıdır"},file:{unit:"bayt",verb:"olmalıdır"},array:{unit:"element",verb:"olmalıdır"},set:{unit:"element",verb:"olmalıdır"}},t={regex:"input",email:"email address",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO datetime",date:"ISO date",time:"ISO time",duration:"ISO duration",ipv4:"IPv4 address",ipv6:"IPv6 address",cidrv4:"IPv4 range",cidrv6:"IPv6 range",base64:"base64-encoded string",base64url:"base64url-encoded string",json_string:"JSON string",e164:"E.164 number",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`Yanlış dəyər: g\xf6zlənilən ${i.expected}, daxil olan ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Yanlış dəyər: g\xf6zlənilən ${V.stringifyPrimitive(i.values[0])}`;return`Yanlış se\xe7im: aşağıdakılardan biri olmalıdır: ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`\xc7ox b\xf6y\xfck: g\xf6zlənilən ${i.origin??"dəyər"} ${t}${i.maximum.toString()} ${r.unit??"element"}`;return`\xc7ox b\xf6y\xfck: g\xf6zlənilən ${i.origin??"dəyər"} ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`\xc7ox ki\xe7ik: g\xf6zlənilən ${i.origin} ${t}${i.minimum.toString()} ${r.unit}`;return`\xc7ox ki\xe7ik: g\xf6zlənilən ${i.origin} ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Yanlış mətn: "${i.prefix}" ilə başlamalıdır`;if("ends_with"===i.format)return`Yanlış mətn: "${i.suffix}" ilə bitməlidir`;if("includes"===i.format)return`Yanlış mətn: "${i.includes}" daxil olmalıdır`;if("regex"===i.format)return`Yanlış mətn: ${i.pattern} şablonuna uyğun olmalıdır`;return`Yanlış ${t[i.format]??i.format}`;case"not_multiple_of":return`Yanlış ədəd: ${i.divisor} ilə b\xf6l\xfcnə bilən olmalıdır`;case"unrecognized_keys":return`Tanınmayan a\xe7ar${i.keys.length>1?"lar":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`${i.origin} daxilində yanlış a\xe7ar`;case"invalid_union":default:return"Yanlış dəyər";case"invalid_element":return`${i.origin} daxilində yanlış dəyər`}})}},"be",0,function(){let e,t;return{localeError:(e={string:{unit:{one:"сімвал",few:"сімвалы",many:"сімвалаў"},verb:"мець"},array:{unit:{one:"элемент",few:"элементы",many:"элементаў"},verb:"мець"},set:{unit:{one:"элемент",few:"элементы",many:"элементаў"},verb:"мець"},file:{unit:{one:"байт",few:"байты",many:"байтаў"},verb:"мець"}},t={regex:"увод",email:"email адрас",url:"URL",emoji:"эмодзі",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO дата і час",date:"ISO дата",time:"ISO час",duration:"ISO працягласць",ipv4:"IPv4 адрас",ipv6:"IPv6 адрас",cidrv4:"IPv4 дыяпазон",cidrv6:"IPv6 дыяпазон",base64:"радок у фармаце base64",base64url:"радок у фармаце base64url",json_string:"JSON радок",e164:"нумар E.164",jwt:"JWT",template_literal:"увод"},i=>{switch(i.code){case"invalid_type":return`Няправільны ўвод: чакаўся ${i.expected}, атрымана ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"лік";case"object":if(Array.isArray(e))return"масіў";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Няправільны ўвод: чакалася ${V.stringifyPrimitive(i.values[0])}`;return`Няправільны варыянт: чакаўся адзін з ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r){let e=tE(Number(i.maximum),r.unit.one,r.unit.few,r.unit.many);return`Занадта вялікі: чакалася, што ${i.origin??"значэнне"} павінна ${r.verb} ${t}${i.maximum.toString()} ${e}`}return`Занадта вялікі: чакалася, што ${i.origin??"значэнне"} павінна быць ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r){let e=tE(Number(i.minimum),r.unit.one,r.unit.few,r.unit.many);return`Занадта малы: чакалася, што ${i.origin} павінна ${r.verb} ${t}${i.minimum.toString()} ${e}`}return`Занадта малы: чакалася, што ${i.origin} павінна быць ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Няправільны радок: павінен пачынацца з "${i.prefix}"`;if("ends_with"===i.format)return`Няправільны радок: павінен заканчвацца на "${i.suffix}"`;if("includes"===i.format)return`Няправільны радок: павінен змяшчаць "${i.includes}"`;if("regex"===i.format)return`Няправільны радок: павінен адпавядаць шаблону ${i.pattern}`;return`Няправільны ${t[i.format]??i.format}`;case"not_multiple_of":return`Няправільны лік: павінен быць кратным ${i.divisor}`;case"unrecognized_keys":return`Нераспазнаны ${i.keys.length>1?"ключы":"ключ"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Няправільны ключ у ${i.origin}`;case"invalid_union":default:return"Няправільны ўвод";case"invalid_element":return`Няправільнае значэнне ў ${i.origin}`}})}},"ca",0,function(){let e,t;return{localeError:(e={string:{unit:"caràcters",verb:"contenir"},file:{unit:"bytes",verb:"contenir"},array:{unit:"elements",verb:"contenir"},set:{unit:"elements",verb:"contenir"}},t={regex:"entrada",email:"adreça electrònica",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"data i hora ISO",date:"data ISO",time:"hora ISO",duration:"durada ISO",ipv4:"adreça IPv4",ipv6:"adreça IPv6",cidrv4:"rang IPv4",cidrv6:"rang IPv6",base64:"cadena codificada en base64",base64url:"cadena codificada en base64url",json_string:"cadena JSON",e164:"número E.164",jwt:"JWT",template_literal:"entrada"},i=>{switch(i.code){case"invalid_type":return`Tipus inv\xe0lid: s'esperava ${i.expected}, s'ha rebut ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Valor inv\xe0lid: s'esperava ${V.stringifyPrimitive(i.values[0])}`;return`Opci\xf3 inv\xe0lida: s'esperava una de ${V.joinValues(i.values," o ")}`;case"too_big":{let t=i.inclusive?"com a màxim":"menys de",r=e[i.origin]??null;if(r)return`Massa gran: s'esperava que ${i.origin??"el valor"} contingu\xe9s ${t} ${i.maximum.toString()} ${r.unit??"elements"}`;return`Massa gran: s'esperava que ${i.origin??"el valor"} fos ${t} ${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?"com a mínim":"més de",r=e[i.origin]??null;if(r)return`Massa petit: s'esperava que ${i.origin} contingu\xe9s ${t} ${i.minimum.toString()} ${r.unit}`;return`Massa petit: s'esperava que ${i.origin} fos ${t} ${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Format inv\xe0lid: ha de comen\xe7ar amb "${i.prefix}"`;if("ends_with"===i.format)return`Format inv\xe0lid: ha d'acabar amb "${i.suffix}"`;if("includes"===i.format)return`Format inv\xe0lid: ha d'incloure "${i.includes}"`;if("regex"===i.format)return`Format inv\xe0lid: ha de coincidir amb el patr\xf3 ${i.pattern}`;return`Format inv\xe0lid per a ${t[i.format]??i.format}`;case"not_multiple_of":return`N\xfamero inv\xe0lid: ha de ser m\xfaltiple de ${i.divisor}`;case"unrecognized_keys":return`Clau${i.keys.length>1?"s":""} no reconeguda${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Clau inv\xe0lida a ${i.origin}`;case"invalid_union":default:return"Entrada invàlida";case"invalid_element":return`Element inv\xe0lid a ${i.origin}`}})}},"cs",0,function(){let e,t;return{localeError:(e={string:{unit:"znaků",verb:"mít"},file:{unit:"bajtů",verb:"mít"},array:{unit:"prvků",verb:"mít"},set:{unit:"prvků",verb:"mít"}},t={regex:"regulární výraz",email:"e-mailová adresa",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"datum a čas ve formátu ISO",date:"datum ve formátu ISO",time:"čas ve formátu ISO",duration:"doba trvání ISO",ipv4:"IPv4 adresa",ipv6:"IPv6 adresa",cidrv4:"rozsah IPv4",cidrv6:"rozsah IPv6",base64:"řetězec zakódovaný ve formátu base64",base64url:"řetězec zakódovaný ve formátu base64url",json_string:"řetězec ve formátu JSON",e164:"číslo E.164",jwt:"JWT",template_literal:"vstup"},i=>{switch(i.code){case"invalid_type":return`Neplatn\xfd vstup: oček\xe1v\xe1no ${i.expected}, obdrženo ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"číslo";case"string":return"řetězec";case"boolean":return"boolean";case"bigint":return"bigint";case"function":return"funkce";case"symbol":return"symbol";case"undefined":return"undefined";case"object":if(Array.isArray(e))return"pole";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Neplatn\xfd vstup: oček\xe1v\xe1no ${V.stringifyPrimitive(i.values[0])}`;return`Neplatn\xe1 možnost: oček\xe1v\xe1na jedna z hodnot ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Hodnota je př\xedliš velk\xe1: ${i.origin??"hodnota"} mus\xed m\xedt ${t}${i.maximum.toString()} ${r.unit??"prvků"}`;return`Hodnota je př\xedliš velk\xe1: ${i.origin??"hodnota"} mus\xed b\xfdt ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Hodnota je př\xedliš mal\xe1: ${i.origin??"hodnota"} mus\xed m\xedt ${t}${i.minimum.toString()} ${r.unit??"prvků"}`;return`Hodnota je př\xedliš mal\xe1: ${i.origin??"hodnota"} mus\xed b\xfdt ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Neplatn\xfd řetězec: mus\xed zač\xednat na "${i.prefix}"`;if("ends_with"===i.format)return`Neplatn\xfd řetězec: mus\xed končit na "${i.suffix}"`;if("includes"===i.format)return`Neplatn\xfd řetězec: mus\xed obsahovat "${i.includes}"`;if("regex"===i.format)return`Neplatn\xfd řetězec: mus\xed odpov\xeddat vzoru ${i.pattern}`;return`Neplatn\xfd form\xe1t ${t[i.format]??i.format}`;case"not_multiple_of":return`Neplatn\xe9 č\xedslo: mus\xed b\xfdt n\xe1sobkem ${i.divisor}`;case"unrecognized_keys":return`Nezn\xe1m\xe9 kl\xedče: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Neplatn\xfd kl\xedč v ${i.origin}`;case"invalid_union":default:return"Neplatný vstup";case"invalid_element":return`Neplatn\xe1 hodnota v ${i.origin}`}})}},"de",0,function(){let e,t;return{localeError:(e={string:{unit:"Zeichen",verb:"zu haben"},file:{unit:"Bytes",verb:"zu haben"},array:{unit:"Elemente",verb:"zu haben"},set:{unit:"Elemente",verb:"zu haben"}},t={regex:"Eingabe",email:"E-Mail-Adresse",url:"URL",emoji:"Emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO-Datum und -Uhrzeit",date:"ISO-Datum",time:"ISO-Uhrzeit",duration:"ISO-Dauer",ipv4:"IPv4-Adresse",ipv6:"IPv6-Adresse",cidrv4:"IPv4-Bereich",cidrv6:"IPv6-Bereich",base64:"Base64-codierter String",base64url:"Base64-URL-codierter String",json_string:"JSON-String",e164:"E.164-Nummer",jwt:"JWT",template_literal:"Eingabe"},i=>{switch(i.code){case"invalid_type":return`Ung\xfcltige Eingabe: erwartet ${i.expected}, erhalten ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"Zahl";case"object":if(Array.isArray(e))return"Array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Ung\xfcltige Eingabe: erwartet ${V.stringifyPrimitive(i.values[0])}`;return`Ung\xfcltige Option: erwartet eine von ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Zu gro\xdf: erwartet, dass ${i.origin??"Wert"} ${t}${i.maximum.toString()} ${r.unit??"Elemente"} hat`;return`Zu gro\xdf: erwartet, dass ${i.origin??"Wert"} ${t}${i.maximum.toString()} ist`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Zu klein: erwartet, dass ${i.origin} ${t}${i.minimum.toString()} ${r.unit} hat`;return`Zu klein: erwartet, dass ${i.origin} ${t}${i.minimum.toString()} ist`}case"invalid_format":if("starts_with"===i.format)return`Ung\xfcltiger String: muss mit "${i.prefix}" beginnen`;if("ends_with"===i.format)return`Ung\xfcltiger String: muss mit "${i.suffix}" enden`;if("includes"===i.format)return`Ung\xfcltiger String: muss "${i.includes}" enthalten`;if("regex"===i.format)return`Ung\xfcltiger String: muss dem Muster ${i.pattern} entsprechen`;return`Ung\xfcltig: ${t[i.format]??i.format}`;case"not_multiple_of":return`Ung\xfcltige Zahl: muss ein Vielfaches von ${i.divisor} sein`;case"unrecognized_keys":return`${i.keys.length>1?"Unbekannte Schlüssel":"Unbekannter Schlüssel"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Ung\xfcltiger Schl\xfcssel in ${i.origin}`;case"invalid_union":default:return"Ungültige Eingabe";case"invalid_element":return`Ung\xfcltiger Wert in ${i.origin}`}})}},"en",()=>tT.default,"eo",0,function(){let e,t;return{localeError:(e={string:{unit:"karaktrojn",verb:"havi"},file:{unit:"bajtojn",verb:"havi"},array:{unit:"elementojn",verb:"havi"},set:{unit:"elementojn",verb:"havi"}},t={regex:"enigo",email:"retadreso",url:"URL",emoji:"emoĝio",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO-datotempo",date:"ISO-dato",time:"ISO-tempo",duration:"ISO-daŭro",ipv4:"IPv4-adreso",ipv6:"IPv6-adreso",cidrv4:"IPv4-rango",cidrv6:"IPv6-rango",base64:"64-ume kodita karaktraro",base64url:"URL-64-ume kodita karaktraro",json_string:"JSON-karaktraro",e164:"E.164-nombro",jwt:"JWT",template_literal:"enigo"},i=>{switch(i.code){case"invalid_type":return`Nevalida enigo: atendiĝis ${i.expected}, riceviĝis ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"nombro";case"object":if(Array.isArray(e))return"tabelo";if(null===e)return"senvalora";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Nevalida enigo: atendiĝis ${V.stringifyPrimitive(i.values[0])}`;return`Nevalida opcio: atendiĝis unu el ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Tro granda: atendiĝis ke ${i.origin??"valoro"} havu ${t}${i.maximum.toString()} ${r.unit??"elementojn"}`;return`Tro granda: atendiĝis ke ${i.origin??"valoro"} havu ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Tro malgranda: atendiĝis ke ${i.origin} havu ${t}${i.minimum.toString()} ${r.unit}`;return`Tro malgranda: atendiĝis ke ${i.origin} estu ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Nevalida karaktraro: devas komenciĝi per "${i.prefix}"`;if("ends_with"===i.format)return`Nevalida karaktraro: devas finiĝi per "${i.suffix}"`;if("includes"===i.format)return`Nevalida karaktraro: devas inkluzivi "${i.includes}"`;if("regex"===i.format)return`Nevalida karaktraro: devas kongrui kun la modelo ${i.pattern}`;return`Nevalida ${t[i.format]??i.format}`;case"not_multiple_of":return`Nevalida nombro: devas esti oblo de ${i.divisor}`;case"unrecognized_keys":return`Nekonata${i.keys.length>1?"j":""} ŝlosilo${i.keys.length>1?"j":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Nevalida ŝlosilo en ${i.origin}`;case"invalid_union":default:return"Nevalida enigo";case"invalid_element":return`Nevalida valoro en ${i.origin}`}})}},"es",0,function(){let e,t;return{localeError:(e={string:{unit:"caracteres",verb:"tener"},file:{unit:"bytes",verb:"tener"},array:{unit:"elementos",verb:"tener"},set:{unit:"elementos",verb:"tener"}},t={regex:"entrada",email:"dirección de correo electrónico",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"fecha y hora ISO",date:"fecha ISO",time:"hora ISO",duration:"duración ISO",ipv4:"dirección IPv4",ipv6:"dirección IPv6",cidrv4:"rango IPv4",cidrv6:"rango IPv6",base64:"cadena codificada en base64",base64url:"URL codificada en base64",json_string:"cadena JSON",e164:"número E.164",jwt:"JWT",template_literal:"entrada"},i=>{switch(i.code){case"invalid_type":return`Entrada inv\xe1lida: se esperaba ${i.expected}, recibido ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"número";case"object":if(Array.isArray(e))return"arreglo";if(null===e)return"nulo";if(Object.getPrototypeOf(e)!==Object.prototype)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Entrada inv\xe1lida: se esperaba ${V.stringifyPrimitive(i.values[0])}`;return`Opci\xf3n 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${i.pattern}`;return`Inv\xe1lido ${t[i.format]??i.format}`;case"not_multiple_of":return`N\xfamero inv\xe1lido: debe ser m\xfaltiplo de ${i.divisor}`;case"unrecognized_keys":return`Llave${i.keys.length>1?"s":""} desconocida${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Llave inv\xe1lida en ${i.origin}`;case"invalid_union":default:return"Entrada inválida";case"invalid_element":return`Valor inv\xe1lido en ${i.origin}`}})}},"fa",0,function(){let e,t;return{localeError:(e={string:{unit:"کاراکتر",verb:"داشته باشد"},file:{unit:"بایت",verb:"داشته باشد"},array:{unit:"آیتم",verb:"داشته باشد"},set:{unit:"آیتم",verb:"داشته باشد"}},t={regex:"ورودی",email:"آدرس ایمیل",url:"URL",emoji:"ایموجی",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"تاریخ و زمان ایزو",date:"تاریخ ایزو",time:"زمان ایزو",duration:"مدت زمان ایزو",ipv4:"IPv4 آدرس",ipv6:"IPv6 آدرس",cidrv4:"IPv4 دامنه",cidrv6:"IPv6 دامنه",base64:"base64-encoded رشته",base64url:"base64url-encoded رشته",json_string:"JSON رشته",e164:"E.164 عدد",jwt:"JWT",template_literal:"ورودی"},i=>{switch(i.code){case"invalid_type":return`ورودی نامعتبر: می‌بایست ${i.expected} می‌بود، ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"عدد";case"object":if(Array.isArray(e))return"آرایه";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)} دریافت شد`;case"invalid_value":if(1===i.values.length)return`ورودی نامعتبر: می‌بایست ${V.stringifyPrimitive(i.values[0])} می‌بود`;return`گزینه نامعتبر: می‌بایست یکی از ${V.joinValues(i.values,"|")} می‌بود`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`خیلی بزرگ: ${i.origin??"مقدار"} باید ${t}${i.maximum.toString()} ${r.unit??"عنصر"} باشد`;return`خیلی بزرگ: ${i.origin??"مقدار"} باید ${t}${i.maximum.toString()} باشد`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`خیلی کوچک: ${i.origin} باید ${t}${i.minimum.toString()} ${r.unit} باشد`;return`خیلی کوچک: ${i.origin} باید ${t}${i.minimum.toString()} باشد`}case"invalid_format":if("starts_with"===i.format)return`رشته نامعتبر: باید با "${i.prefix}" شروع شود`;if("ends_with"===i.format)return`رشته نامعتبر: باید با "${i.suffix}" تمام شود`;if("includes"===i.format)return`رشته نامعتبر: باید شامل "${i.includes}" باشد`;if("regex"===i.format)return`رشته نامعتبر: باید با الگوی ${i.pattern} مطابقت داشته باشد`;return`${t[i.format]??i.format} نامعتبر`;case"not_multiple_of":return`عدد نامعتبر: باید مضرب ${i.divisor} باشد`;case"unrecognized_keys":return`کلید${i.keys.length>1?"های":""} ناشناس: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`کلید ناشناس در ${i.origin}`;case"invalid_union":default:return"ورودی نامعتبر";case"invalid_element":return`مقدار نامعتبر در ${i.origin}`}})}},"fi",0,function(){let e,t;return{localeError:(e={string:{unit:"merkkiä",subject:"merkkijonon"},file:{unit:"tavua",subject:"tiedoston"},array:{unit:"alkiota",subject:"listan"},set:{unit:"alkiota",subject:"joukon"},number:{unit:"",subject:"luvun"},bigint:{unit:"",subject:"suuren kokonaisluvun"},int:{unit:"",subject:"kokonaisluvun"},date:{unit:"",subject:"päivämäärän"}},t={regex:"säännöllinen lauseke",email:"sähköpostiosoite",url:"URL-osoite",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO-aikaleima",date:"ISO-päivämäärä",time:"ISO-aika",duration:"ISO-kesto",ipv4:"IPv4-osoite",ipv6:"IPv6-osoite",cidrv4:"IPv4-alue",cidrv6:"IPv6-alue",base64:"base64-koodattu merkkijono",base64url:"base64url-koodattu merkkijono",json_string:"JSON-merkkijono",e164:"E.164-luku",jwt:"JWT",template_literal:"templaattimerkkijono"},i=>{switch(i.code){case"invalid_type":return`Virheellinen tyyppi: odotettiin ${i.expected}, oli ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Virheellinen sy\xf6te: t\xe4ytyy olla ${V.stringifyPrimitive(i.values[0])}`;return`Virheellinen valinta: t\xe4ytyy olla yksi seuraavista: ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Liian suuri: ${r.subject} t\xe4ytyy olla ${t}${i.maximum.toString()} ${r.unit}`.trim();return`Liian suuri: arvon t\xe4ytyy olla ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Liian pieni: ${r.subject} t\xe4ytyy olla ${t}${i.minimum.toString()} ${r.unit}`.trim();return`Liian pieni: arvon t\xe4ytyy olla ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Virheellinen sy\xf6te: t\xe4ytyy alkaa "${i.prefix}"`;if("ends_with"===i.format)return`Virheellinen sy\xf6te: t\xe4ytyy loppua "${i.suffix}"`;if("includes"===i.format)return`Virheellinen sy\xf6te: t\xe4ytyy sis\xe4lt\xe4\xe4 "${i.includes}"`;if("regex"===i.format)return`Virheellinen sy\xf6te: t\xe4ytyy vastata s\xe4\xe4nn\xf6llist\xe4 lauseketta ${i.pattern}`;return`Virheellinen ${t[i.format]??i.format}`;case"not_multiple_of":return`Virheellinen luku: t\xe4ytyy olla luvun ${i.divisor} monikerta`;case"unrecognized_keys":return`${i.keys.length>1?"Tuntemattomat avaimet":"Tuntematon avain"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return"Virheellinen avain tietueessa";case"invalid_union":return"Virheellinen unioni";case"invalid_element":return"Virheellinen arvo joukossa";default:return"Virheellinen syöte"}})}},"fr",0,function(){let e,t;return{localeError:(e={string:{unit:"caractères",verb:"avoir"},file:{unit:"octets",verb:"avoir"},array:{unit:"éléments",verb:"avoir"},set:{unit:"éléments",verb:"avoir"}},t={regex:"entrée",email:"adresse e-mail",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"date et heure ISO",date:"date ISO",time:"heure ISO",duration:"durée ISO",ipv4:"adresse IPv4",ipv6:"adresse IPv6",cidrv4:"plage IPv4",cidrv6:"plage IPv6",base64:"chaîne encodée en base64",base64url:"chaîne encodée en base64url",json_string:"chaîne JSON",e164:"numéro E.164",jwt:"JWT",template_literal:"entrée"},i=>{switch(i.code){case"invalid_type":return`Entr\xe9e invalide : ${i.expected} attendu, ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"nombre";case"object":if(Array.isArray(e))return"tableau";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)} re\xe7u`;case"invalid_value":if(1===i.values.length)return`Entr\xe9e invalide : ${V.stringifyPrimitive(i.values[0])} attendu`;return`Option invalide : une valeur parmi ${V.joinValues(i.values,"|")} attendue`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Trop grand : ${i.origin??"valeur"} doit ${r.verb} ${t}${i.maximum.toString()} ${r.unit??"élément(s)"}`;return`Trop grand : ${i.origin??"valeur"} doit \xeatre ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Trop petit : ${i.origin} doit ${r.verb} ${t}${i.minimum.toString()} ${r.unit}`;return`Trop petit : ${i.origin} doit \xeatre ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Cha\xeene invalide : doit commencer par "${i.prefix}"`;if("ends_with"===i.format)return`Cha\xeene invalide : doit se terminer par "${i.suffix}"`;if("includes"===i.format)return`Cha\xeene invalide : doit inclure "${i.includes}"`;if("regex"===i.format)return`Cha\xeene invalide : doit correspondre au mod\xe8le ${i.pattern}`;return`${t[i.format]??i.format} invalide`;case"not_multiple_of":return`Nombre invalide : doit \xeatre un multiple de ${i.divisor}`;case"unrecognized_keys":return`Cl\xe9${i.keys.length>1?"s":""} non reconnue${i.keys.length>1?"s":""} : ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Cl\xe9 invalide dans ${i.origin}`;case"invalid_union":default:return"Entrée invalide";case"invalid_element":return`Valeur invalide dans ${i.origin}`}})}},"frCA",0,function(){let e,t;return{localeError:(e={string:{unit:"caractères",verb:"avoir"},file:{unit:"octets",verb:"avoir"},array:{unit:"éléments",verb:"avoir"},set:{unit:"éléments",verb:"avoir"}},t={regex:"entrée",email:"adresse 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${t}${i.minimum.toString()} ${r.unit}`;return`קטן מדי: ${i.origin} צריך להיות ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`מחרוזת לא תקינה: חייבת להתחיל ב"${i.prefix}"`;if("ends_with"===i.format)return`מחרוזת לא תקינה: חייבת להסתיים ב "${i.suffix}"`;if("includes"===i.format)return`מחרוזת לא תקינה: חייבת לכלול "${i.includes}"`;if("regex"===i.format)return`מחרוזת לא תקינה: חייבת להתאים לתבנית ${i.pattern}`;return`${t[i.format]??i.format} לא תקין`;case"not_multiple_of":return`מספר לא תקין: חייב להיות מכפלה של ${i.divisor}`;case"unrecognized_keys":return`מפתח${i.keys.length>1?"ות":""} לא מזוה${i.keys.length>1?"ים":"ה"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`מפתח לא תקין ב${i.origin}`;case"invalid_union":default:return"קלט לא תקין";case"invalid_element":return`ערך לא תקין ב${i.origin}`}})}},"hu",0,function(){let e,t;return{localeError:(e={string:{unit:"karakter",verb:"legyen"},file:{unit:"byte",verb:"legyen"},array:{unit:"elem",verb:"legyen"},set:{unit:"elem",verb:"legyen"}},t={regex:"bemenet",email:"email cím",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO időbélyeg",date:"ISO dátum",time:"ISO idő",duration:"ISO időintervallum",ipv4:"IPv4 cím",ipv6:"IPv6 cím",cidrv4:"IPv4 tartomány",cidrv6:"IPv6 tartomány",base64:"base64-kódolt string",base64url:"base64url-kódolt string",json_string:"JSON string",e164:"E.164 szám",jwt:"JWT",template_literal:"bemenet"},i=>{switch(i.code){case"invalid_type":return`\xc9rv\xe9nytelen bemenet: a v\xe1rt \xe9rt\xe9k ${i.expected}, a kapott \xe9rt\xe9k ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"szám";case"object":if(Array.isArray(e))return"tömb";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`\xc9rv\xe9nytelen bemenet: a v\xe1rt \xe9rt\xe9k ${V.stringifyPrimitive(i.values[0])}`;return`\xc9rv\xe9nytelen opci\xf3: valamelyik \xe9rt\xe9k v\xe1rt ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`T\xfal nagy: ${i.origin??"érték"} m\xe9rete t\xfal nagy ${t}${i.maximum.toString()} ${r.unit??"elem"}`;return`T\xfal nagy: a bemeneti \xe9rt\xe9k ${i.origin??"érték"} t\xfal nagy: ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`T\xfal kicsi: a bemeneti \xe9rt\xe9k ${i.origin} m\xe9rete t\xfal kicsi ${t}${i.minimum.toString()} ${r.unit}`;return`T\xfal kicsi: a bemeneti \xe9rt\xe9k ${i.origin} t\xfal kicsi ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`\xc9rv\xe9nytelen string: "${i.prefix}" \xe9rt\xe9kkel kell kezdődnie`;if("ends_with"===i.format)return`\xc9rv\xe9nytelen string: "${i.suffix}" \xe9rt\xe9kkel kell v\xe9gződnie`;if("includes"===i.format)return`\xc9rv\xe9nytelen string: "${i.includes}" \xe9rt\xe9ket kell tartalmaznia`;if("regex"===i.format)return`\xc9rv\xe9nytelen string: ${i.pattern} mint\xe1nak kell megfelelnie`;return`\xc9rv\xe9nytelen ${t[i.format]??i.format}`;case"not_multiple_of":return`\xc9rv\xe9nytelen sz\xe1m: ${i.divisor} t\xf6bbsz\xf6r\xf6s\xe9nek kell lennie`;case"unrecognized_keys":return`Ismeretlen kulcs${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`\xc9rv\xe9nytelen kulcs ${i.origin}`;case"invalid_union":default:return"Érvénytelen bemenet";case"invalid_element":return`\xc9rv\xe9nytelen \xe9rt\xe9k: ${i.origin}`}})}},"id",0,function(){let e,t;return{localeError:(e={string:{unit:"karakter",verb:"memiliki"},file:{unit:"byte",verb:"memiliki"},array:{unit:"item",verb:"memiliki"},set:{unit:"item",verb:"memiliki"}},t={regex:"input",email:"alamat email",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"tanggal dan waktu format ISO",date:"tanggal format ISO",time:"jam format ISO",duration:"durasi format ISO",ipv4:"alamat IPv4",ipv6:"alamat IPv6",cidrv4:"rentang alamat IPv4",cidrv6:"rentang alamat IPv6",base64:"string dengan enkode base64",base64url:"string dengan enkode base64url",json_string:"string JSON",e164:"angka E.164",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`Input tidak valid: diharapkan ${i.expected}, diterima ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Input tidak valid: diharapkan ${V.stringifyPrimitive(i.values[0])}`;return`Pilihan tidak valid: diharapkan salah satu dari ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Terlalu besar: diharapkan ${i.origin??"value"} memiliki ${t}${i.maximum.toString()} ${r.unit??"elemen"}`;return`Terlalu besar: diharapkan ${i.origin??"value"} menjadi ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Terlalu kecil: diharapkan ${i.origin} memiliki ${t}${i.minimum.toString()} ${r.unit}`;return`Terlalu kecil: diharapkan ${i.origin} menjadi ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`String tidak valid: harus dimulai dengan "${i.prefix}"`;if("ends_with"===i.format)return`String tidak valid: harus berakhir dengan "${i.suffix}"`;if("includes"===i.format)return`String tidak valid: harus menyertakan "${i.includes}"`;if("regex"===i.format)return`String tidak valid: harus sesuai pola ${i.pattern}`;return`${t[i.format]??i.format} tidak valid`;case"not_multiple_of":return`Angka tidak valid: harus kelipatan dari ${i.divisor}`;case"unrecognized_keys":return`Kunci tidak dikenali ${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Kunci tidak valid di ${i.origin}`;case"invalid_union":default:return"Input tidak valid";case"invalid_element":return`Nilai tidak valid di ${i.origin}`}})}},"it",0,function(){let e,t;return{localeError:(e={string:{unit:"caratteri",verb:"avere"},file:{unit:"byte",verb:"avere"},array:{unit:"elementi",verb:"avere"},set:{unit:"elementi",verb:"avere"}},t={regex:"input",email:"indirizzo email",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"data e ora ISO",date:"data ISO",time:"ora ISO",duration:"durata ISO",ipv4:"indirizzo IPv4",ipv6:"indirizzo IPv6",cidrv4:"intervallo IPv4",cidrv6:"intervallo IPv6",base64:"stringa codificata in base64",base64url:"URL codificata in base64",json_string:"stringa JSON",e164:"numero E.164",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`Input non valido: atteso ${i.expected}, ricevuto ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"numero";case"object":if(Array.isArray(e))return"vettore";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Input non valido: atteso ${V.stringifyPrimitive(i.values[0])}`;return`Opzione non valida: atteso uno tra ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Troppo grande: ${i.origin??"valore"} deve avere ${t}${i.maximum.toString()} ${r.unit??"elementi"}`;return`Troppo grande: ${i.origin??"valore"} deve essere ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Troppo piccolo: ${i.origin} deve avere ${t}${i.minimum.toString()} ${r.unit}`;return`Troppo piccolo: ${i.origin} deve essere ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Stringa non valida: deve iniziare con "${i.prefix}"`;if("ends_with"===i.format)return`Stringa non valida: deve terminare con "${i.suffix}"`;if("includes"===i.format)return`Stringa non valida: deve includere "${i.includes}"`;if("regex"===i.format)return`Stringa non valida: deve corrispondere al pattern ${i.pattern}`;return`Invalid ${t[i.format]??i.format}`;case"not_multiple_of":return`Numero non valido: deve essere un multiplo di ${i.divisor}`;case"unrecognized_keys":return`Chiav${i.keys.length>1?"i":"e"} non riconosciut${i.keys.length>1?"e":"a"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Chiave non valida in ${i.origin}`;case"invalid_union":default:return"Input non valido";case"invalid_element":return`Valore non valido in ${i.origin}`}})}},"ja",0,function(){let e,t;return{localeError:(e={string:{unit:"文字",verb:"である"},file:{unit:"バイト",verb:"である"},array:{unit:"要素",verb:"である"},set:{unit:"要素",verb:"である"}},t={regex:"入力値",email:"メールアドレス",url:"URL",emoji:"絵文字",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO日時",date:"ISO日付",time:"ISO時刻",duration:"ISO期間",ipv4:"IPv4アドレス",ipv6:"IPv6アドレス",cidrv4:"IPv4範囲",cidrv6:"IPv6範囲",base64:"base64エンコード文字列",base64url:"base64urlエンコード文字列",json_string:"JSON文字列",e164:"E.164番号",jwt:"JWT",template_literal:"入力値"},i=>{switch(i.code){case"invalid_type":return`無効な入力: ${i.expected}が期待されましたが、${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"数値";case"object":if(Array.isArray(e))return"配列";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}が入力されました`;case"invalid_value":if(1===i.values.length)return`無効な入力: ${V.stringifyPrimitive(i.values[0])}が期待されました`;return`無効な選択: ${V.joinValues(i.values,"、")}のいずれかである必要があります`;case"too_big":{let t=i.inclusive?"以下である":"より小さい",r=e[i.origin]??null;if(r)return`大きすぎる値: ${i.origin??"値"}は${i.maximum.toString()}${r.unit??"要素"}${t}必要があります`;return`大きすぎる値: ${i.origin??"値"}は${i.maximum.toString()}${t}必要があります`}case"too_small":{let t=i.inclusive?"以上である":"より大きい",r=e[i.origin]??null;if(r)return`小さすぎる値: ${i.origin}は${i.minimum.toString()}${r.unit}${t}必要があります`;return`小さすぎる値: ${i.origin}は${i.minimum.toString()}${t}必要があります`}case"invalid_format":if("starts_with"===i.format)return`無効な文字列: "${i.prefix}"で始まる必要があります`;if("ends_with"===i.format)return`無効な文字列: "${i.suffix}"で終わる必要があります`;if("includes"===i.format)return`無効な文字列: "${i.includes}"を含む必要があります`;if("regex"===i.format)return`無効な文字列: パターン${i.pattern}に一致する必要があります`;return`無効な${t[i.format]??i.format}`;case"not_multiple_of":return`無効な数値: ${i.divisor}の倍数である必要があります`;case"unrecognized_keys":return`認識されていないキー${i.keys.length>1?"群":""}: ${V.joinValues(i.keys,"、")}`;case"invalid_key":return`${i.origin}内の無効なキー`;case"invalid_union":default:return"無効な入力";case"invalid_element":return`${i.origin}内の無効な値`}})}},"kh",0,function(){let e,t;return{localeError:(e={string:{unit:"តួអក្សរ",verb:"គួរមាន"},file:{unit:"បៃ",verb:"គួរមាន"},array:{unit:"ធាតុ",verb:"គួរមាន"},set:{unit:"ធាតុ",verb:"គួរមាន"}},t={regex:"ទិន្នន័យបញ្ចូល",email:"អាសយដ្ឋានអ៊ីមែល",url:"URL",emoji:"សញ្ញាអារម្មណ៍",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"កាលបរិច្ឆេទ និងម៉ោង ISO",date:"កាលបរិច្ឆេទ ISO",time:"ម៉ោង ISO",duration:"រយៈពេល ISO",ipv4:"អាសយដ្ឋាន IPv4",ipv6:"អាសយដ្ឋាន IPv6",cidrv4:"ដែនអាសយដ្ឋាន IPv4",cidrv6:"ដែនអាសយដ្ឋាន IPv6",base64:"ខ្សែអក្សរអ៊ិកូដ base64",base64url:"ខ្សែអក្សរអ៊ិកូដ base64url",json_string:"ខ្សែអក្សរ JSON",e164:"លេខ E.164",jwt:"JWT",template_literal:"ទិន្នន័យបញ្ចូល"},i=>{switch(i.code){case"invalid_type":return`ទិន្នន័យបញ្ចូលមិនត្រឹមត្រូវ៖ ត្រូវការ ${i.expected} ប៉ុន្តែទទួលបាន ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"មិនមែនជាលេខ (NaN)":"លេខ";case"object":if(Array.isArray(e))return"អារេ (Array)";if(null===e)return"គ្មានតម្លៃ (null)";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`ទិន្នន័យបញ្ចូលមិនត្រឹមត្រូវ៖ ត្រូវការ ${V.stringifyPrimitive(i.values[0])}`;return`ជម្រើសមិនត្រឹមត្រូវ៖ ត្រូវជាមួយក្នុងចំណោម ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`ធំពេក៖ ត្រូវការ ${i.origin??"តម្លៃ"} ${t} ${i.maximum.toString()} ${r.unit??"ធាតុ"}`;return`ធំពេក៖ ត្រូវការ ${i.origin??"តម្លៃ"} ${t} ${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`តូចពេក៖ ត្រូវការ ${i.origin} ${t} ${i.minimum.toString()} ${r.unit}`;return`តូចពេក៖ ត្រូវការ ${i.origin} ${t} ${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`ខ្សែអក្សរមិនត្រឹមត្រូវ៖ ត្រូវចាប់ផ្តើមដោយ "${i.prefix}"`;if("ends_with"===i.format)return`ខ្សែអក្សរមិនត្រឹមត្រូវ៖ ត្រូវបញ្ចប់ដោយ "${i.suffix}"`;if("includes"===i.format)return`ខ្សែអក្សរមិនត្រឹមត្រូវ៖ ត្រូវមាន "${i.includes}"`;if("regex"===i.format)return`ខ្សែអក្សរមិនត្រឹមត្រូវ៖ ត្រូវតែផ្គូផ្គងនឹងទម្រង់ដែលបានកំណត់ ${i.pattern}`;return`មិនត្រឹមត្រូវ៖ ${t[i.format]??i.format}`;case"not_multiple_of":return`លេខមិនត្រឹមត្រូវ៖ ត្រូវតែជាពហុគុណនៃ ${i.divisor}`;case"unrecognized_keys":return`រកឃើញសោមិនស្គាល់៖ ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`សោមិនត្រឹមត្រូវនៅក្នុង ${i.origin}`;case"invalid_union":default:return"ទិន្នន័យមិនត្រឹមត្រូវ";case"invalid_element":return`ទិន្នន័យមិនត្រឹមត្រូវនៅក្នុង ${i.origin}`}})}},"ko",0,function(){let e,t;return{localeError:(e={string:{unit:"문자",verb:"to have"},file:{unit:"바이트",verb:"to have"},array:{unit:"개",verb:"to have"},set:{unit:"개",verb:"to have"}},t={regex:"입력",email:"이메일 주소",url:"URL",emoji:"이모지",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO 날짜시간",date:"ISO 날짜",time:"ISO 시간",duration:"ISO 기간",ipv4:"IPv4 주소",ipv6:"IPv6 주소",cidrv4:"IPv4 범위",cidrv6:"IPv6 범위",base64:"base64 인코딩 문자열",base64url:"base64url 인코딩 문자열",json_string:"JSON 문자열",e164:"E.164 번호",jwt:"JWT",template_literal:"입력"},i=>{switch(i.code){case"invalid_type":return`잘못된 입력: 예상 타입은 ${i.expected}, 받은 타입은 ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}입니다`;case"invalid_value":if(1===i.values.length)return`잘못된 입력: 값은 ${V.stringifyPrimitive(i.values[0])} 이어야 합니다`;return`잘못된 옵션: ${V.joinValues(i.values,"또는 ")} 중 하나여야 합니다`;case"too_big":{let t=i.inclusive?"이하":"미만",r="미만"===t?"이어야 합니다":"여야 합니다",n=e[i.origin]??null,a=n?.unit??"요소";if(n)return`${i.origin??"값"}이 너무 큽니다: ${i.maximum.toString()}${a} ${t}${r}`;return`${i.origin??"값"}이 너무 큽니다: ${i.maximum.toString()} ${t}${r}`}case"too_small":{let t=i.inclusive?"이상":"초과",r="이상"===t?"이어야 합니다":"여야 합니다",n=e[i.origin]??null,a=n?.unit??"요소";if(n)return`${i.origin??"값"}이 너무 작습니다: ${i.minimum.toString()}${a} ${t}${r}`;return`${i.origin??"값"}이 너무 작습니다: ${i.minimum.toString()} ${t}${r}`}case"invalid_format":if("starts_with"===i.format)return`잘못된 문자열: "${i.prefix}"(으)로 시작해야 합니다`;if("ends_with"===i.format)return`잘못된 문자열: "${i.suffix}"(으)로 끝나야 합니다`;if("includes"===i.format)return`잘못된 문자열: "${i.includes}"을(를) 포함해야 합니다`;if("regex"===i.format)return`잘못된 문자열: 정규식 ${i.pattern} 패턴과 일치해야 합니다`;return`잘못된 ${t[i.format]??i.format}`;case"not_multiple_of":return`잘못된 숫자: ${i.divisor}의 배수여야 합니다`;case"unrecognized_keys":return`인식할 수 없는 키: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`잘못된 키: ${i.origin}`;case"invalid_union":default:return"잘못된 입력";case"invalid_element":return`잘못된 값: ${i.origin}`}})}},"mk",0,function(){let e,t;return{localeError:(e={string:{unit:"знаци",verb:"да имаат"},file:{unit:"бајти",verb:"да имаат"},array:{unit:"ставки",verb:"да имаат"},set:{unit:"ставки",verb:"да имаат"}},t={regex:"внес",email:"адреса на е-пошта",url:"URL",emoji:"емоџи",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO датум и време",date:"ISO датум",time:"ISO време",duration:"ISO времетраење",ipv4:"IPv4 адреса",ipv6:"IPv6 адреса",cidrv4:"IPv4 опсег",cidrv6:"IPv6 опсег",base64:"base64-енкодирана низа",base64url:"base64url-енкодирана низа",json_string:"JSON низа",e164:"E.164 број",jwt:"JWT",template_literal:"внес"},i=>{switch(i.code){case"invalid_type":return`Грешен внес: се очекува ${i.expected}, примено ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"број";case"object":if(Array.isArray(e))return"низа";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Invalid input: expected ${V.stringifyPrimitive(i.values[0])}`;return`Грешана опција: се очекува една ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Премногу голем: се очекува ${i.origin??"вредноста"} да има ${t}${i.maximum.toString()} ${r.unit??"елементи"}`;return`Премногу голем: се очекува ${i.origin??"вредноста"} да биде ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Премногу мал: се очекува ${i.origin} да има ${t}${i.minimum.toString()} ${r.unit}`;return`Премногу мал: се очекува ${i.origin} да биде ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Неважечка низа: мора да започнува со "${i.prefix}"`;if("ends_with"===i.format)return`Неважечка низа: мора да завршува со "${i.suffix}"`;if("includes"===i.format)return`Неважечка низа: мора да вклучува "${i.includes}"`;if("regex"===i.format)return`Неважечка низа: мора да одгоара на патернот ${i.pattern}`;return`Invalid ${t[i.format]??i.format}`;case"not_multiple_of":return`Грешен број: мора да биде делив со ${i.divisor}`;case"unrecognized_keys":return`${i.keys.length>1?"Непрепознаени клучеви":"Непрепознаен клуч"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Грешен клуч во ${i.origin}`;case"invalid_union":default:return"Грешен внес";case"invalid_element":return`Грешна вредност во ${i.origin}`}})}},"ms",0,function(){let e,t;return{localeError:(e={string:{unit:"aksara",verb:"mempunyai"},file:{unit:"bait",verb:"mempunyai"},array:{unit:"elemen",verb:"mempunyai"},set:{unit:"elemen",verb:"mempunyai"}},t={regex:"input",email:"alamat e-mel",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"tarikh masa ISO",date:"tarikh ISO",time:"masa ISO",duration:"tempoh ISO",ipv4:"alamat IPv4",ipv6:"alamat IPv6",cidrv4:"julat IPv4",cidrv6:"julat IPv6",base64:"string dikodkan base64",base64url:"string dikodkan base64url",json_string:"string JSON",e164:"nombor E.164",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`Input tidak sah: dijangka ${i.expected}, diterima ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"nombor";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Input tidak sah: dijangka ${V.stringifyPrimitive(i.values[0])}`;return`Pilihan tidak sah: dijangka salah satu daripada ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Terlalu besar: dijangka ${i.origin??"nilai"} ${r.verb} ${t}${i.maximum.toString()} ${r.unit??"elemen"}`;return`Terlalu besar: dijangka ${i.origin??"nilai"} adalah ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Terlalu kecil: dijangka ${i.origin} ${r.verb} ${t}${i.minimum.toString()} ${r.unit}`;return`Terlalu kecil: dijangka ${i.origin} adalah ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`String tidak sah: mesti bermula dengan "${i.prefix}"`;if("ends_with"===i.format)return`String tidak sah: mesti berakhir dengan "${i.suffix}"`;if("includes"===i.format)return`String tidak sah: mesti mengandungi "${i.includes}"`;if("regex"===i.format)return`String tidak sah: mesti sepadan dengan corak ${i.pattern}`;return`${t[i.format]??i.format} tidak sah`;case"not_multiple_of":return`Nombor tidak sah: perlu gandaan ${i.divisor}`;case"unrecognized_keys":return`Kunci tidak dikenali: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Kunci tidak sah dalam ${i.origin}`;case"invalid_union":default:return"Input tidak sah";case"invalid_element":return`Nilai tidak sah dalam ${i.origin}`}})}},"nl",0,function(){let e,t;return{localeError:(e={string:{unit:"tekens"},file:{unit:"bytes"},array:{unit:"elementen"},set:{unit:"elementen"}},t={regex:"invoer",email:"emailadres",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO datum en tijd",date:"ISO datum",time:"ISO tijd",duration:"ISO duur",ipv4:"IPv4-adres",ipv6:"IPv6-adres",cidrv4:"IPv4-bereik",cidrv6:"IPv6-bereik",base64:"base64-gecodeerde tekst",base64url:"base64 URL-gecodeerde tekst",json_string:"JSON string",e164:"E.164-nummer",jwt:"JWT",template_literal:"invoer"},i=>{switch(i.code){case"invalid_type":return`Ongeldige invoer: verwacht ${i.expected}, ontving ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"getal";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Ongeldige invoer: verwacht ${V.stringifyPrimitive(i.values[0])}`;return`Ongeldige optie: verwacht \xe9\xe9n van ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Te lang: verwacht dat ${i.origin??"waarde"} ${t}${i.maximum.toString()} ${r.unit??"elementen"} bevat`;return`Te lang: verwacht dat ${i.origin??"waarde"} ${t}${i.maximum.toString()} is`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Te kort: verwacht dat ${i.origin} ${t}${i.minimum.toString()} ${r.unit} bevat`;return`Te kort: verwacht dat ${i.origin} ${t}${i.minimum.toString()} is`}case"invalid_format":if("starts_with"===i.format)return`Ongeldige tekst: moet met "${i.prefix}" beginnen`;if("ends_with"===i.format)return`Ongeldige tekst: moet op "${i.suffix}" eindigen`;if("includes"===i.format)return`Ongeldige tekst: moet "${i.includes}" bevatten`;if("regex"===i.format)return`Ongeldige tekst: moet overeenkomen met patroon ${i.pattern}`;return`Ongeldig: ${t[i.format]??i.format}`;case"not_multiple_of":return`Ongeldig getal: moet een veelvoud van ${i.divisor} zijn`;case"unrecognized_keys":return`Onbekende key${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Ongeldige key in ${i.origin}`;case"invalid_union":default:return"Ongeldige invoer";case"invalid_element":return`Ongeldige waarde in ${i.origin}`}})}},"no",0,function(){let e,t;return{localeError:(e={string:{unit:"tegn",verb:"å ha"},file:{unit:"bytes",verb:"å ha"},array:{unit:"elementer",verb:"å inneholde"},set:{unit:"elementer",verb:"å inneholde"}},t={regex:"input",email:"e-postadresse",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO dato- og klokkeslett",date:"ISO-dato",time:"ISO-klokkeslett",duration:"ISO-varighet",ipv4:"IPv4-område",ipv6:"IPv6-område",cidrv4:"IPv4-spekter",cidrv6:"IPv6-spekter",base64:"base64-enkodet streng",base64url:"base64url-enkodet streng",json_string:"JSON-streng",e164:"E.164-nummer",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`Ugyldig input: forventet ${i.expected}, fikk ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"tall";case"object":if(Array.isArray(e))return"liste";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Ugyldig verdi: forventet ${V.stringifyPrimitive(i.values[0])}`;return`Ugyldig valg: forventet en av ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`For stor(t): forventet ${i.origin??"value"} til \xe5 ha ${t}${i.maximum.toString()} ${r.unit??"elementer"}`;return`For stor(t): forventet ${i.origin??"value"} til \xe5 ha ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`For lite(n): forventet ${i.origin} til \xe5 ha ${t}${i.minimum.toString()} ${r.unit}`;return`For lite(n): forventet ${i.origin} til \xe5 ha ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Ugyldig streng: m\xe5 starte med "${i.prefix}"`;if("ends_with"===i.format)return`Ugyldig streng: m\xe5 ende med "${i.suffix}"`;if("includes"===i.format)return`Ugyldig streng: m\xe5 inneholde "${i.includes}"`;if("regex"===i.format)return`Ugyldig streng: m\xe5 matche m\xf8nsteret ${i.pattern}`;return`Ugyldig ${t[i.format]??i.format}`;case"not_multiple_of":return`Ugyldig tall: m\xe5 v\xe6re et multiplum av ${i.divisor}`;case"unrecognized_keys":return`${i.keys.length>1?"Ukjente nøkler":"Ukjent nøkkel"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Ugyldig n\xf8kkel i ${i.origin}`;case"invalid_union":default:return"Ugyldig input";case"invalid_element":return`Ugyldig verdi i ${i.origin}`}})}},"ota",0,function(){let e,t;return{localeError:(e={string:{unit:"harf",verb:"olmalıdır"},file:{unit:"bayt",verb:"olmalıdır"},array:{unit:"unsur",verb:"olmalıdır"},set:{unit:"unsur",verb:"olmalıdır"}},t={regex:"giren",email:"epostagâh",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO hengâmı",date:"ISO tarihi",time:"ISO zamanı",duration:"ISO müddeti",ipv4:"IPv4 nişânı",ipv6:"IPv6 nişânı",cidrv4:"IPv4 menzili",cidrv6:"IPv6 menzili",base64:"base64-şifreli metin",base64url:"base64url-şifreli metin",json_string:"JSON metin",e164:"E.164 sayısı",jwt:"JWT",template_literal:"giren"},i=>{switch(i.code){case"invalid_type":return`F\xe2sit giren: umulan ${i.expected}, alınan ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"numara";case"object":if(Array.isArray(e))return"saf";if(null===e)return"gayb";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`F\xe2sit giren: umulan ${V.stringifyPrimitive(i.values[0])}`;return`F\xe2sit tercih: m\xfbteberler ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Fazla b\xfcy\xfck: ${i.origin??"value"}, ${t}${i.maximum.toString()} ${r.unit??"elements"} sahip olmalıydı.`;return`Fazla b\xfcy\xfck: ${i.origin??"value"}, ${t}${i.maximum.toString()} olmalıydı.`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Fazla k\xfc\xe7\xfck: ${i.origin}, ${t}${i.minimum.toString()} ${r.unit} sahip olmalıydı.`;return`Fazla k\xfc\xe7\xfck: ${i.origin}, ${t}${i.minimum.toString()} olmalıydı.`}case"invalid_format":if("starts_with"===i.format)return`F\xe2sit metin: "${i.prefix}" ile başlamalı.`;if("ends_with"===i.format)return`F\xe2sit metin: "${i.suffix}" ile bitmeli.`;if("includes"===i.format)return`F\xe2sit metin: "${i.includes}" ihtiv\xe2 etmeli.`;if("regex"===i.format)return`F\xe2sit metin: ${i.pattern} nakşına uymalı.`;return`F\xe2sit ${t[i.format]??i.format}`;case"not_multiple_of":return`F\xe2sit sayı: ${i.divisor} katı olmalıydı.`;case"unrecognized_keys":return`Tanınmayan anahtar ${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`${i.origin} i\xe7in tanınmayan anahtar var.`;case"invalid_union":return"Giren tanınamadı.";case"invalid_element":return`${i.origin} i\xe7in tanınmayan kıymet var.`;default:return"Kıymet tanınamadı."}})}},"pl",0,function(){let e,t;return{localeError:(e={string:{unit:"znaków",verb:"mieć"},file:{unit:"bajtów",verb:"mieć"},array:{unit:"elementów",verb:"mieć"},set:{unit:"elementów",verb:"mieć"}},t={regex:"wyrażenie",email:"adres email",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"data i godzina w formacie ISO",date:"data w formacie ISO",time:"godzina w formacie ISO",duration:"czas trwania ISO",ipv4:"adres IPv4",ipv6:"adres IPv6",cidrv4:"zakres IPv4",cidrv6:"zakres IPv6",base64:"ciąg znaków zakodowany w formacie base64",base64url:"ciąg znaków zakodowany w formacie base64url",json_string:"ciąg znaków w formacie JSON",e164:"liczba E.164",jwt:"JWT",template_literal:"wejście"},i=>{switch(i.code){case"invalid_type":return`Nieprawidłowe dane wejściowe: oczekiwano ${i.expected}, otrzymano ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"liczba";case"object":if(Array.isArray(e))return"tablica";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Nieprawidłowe dane wejściowe: oczekiwano ${V.stringifyPrimitive(i.values[0])}`;return`Nieprawidłowa opcja: oczekiwano jednej z wartości ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Za duża wartość: oczekiwano, że ${i.origin??"wartość"} będzie mieć ${t}${i.maximum.toString()} ${r.unit??"elementów"}`;return`Zbyt duż(y/a/e): oczekiwano, że ${i.origin??"wartość"} będzie wynosić ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Za mała wartość: oczekiwano, że ${i.origin??"wartość"} będzie mieć ${t}${i.minimum.toString()} ${r.unit??"elementów"}`;return`Zbyt mał(y/a/e): oczekiwano, że ${i.origin??"wartość"} będzie wynosić ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Nieprawidłowy ciąg znak\xf3w: musi zaczynać się od "${i.prefix}"`;if("ends_with"===i.format)return`Nieprawidłowy ciąg znak\xf3w: musi kończyć się na "${i.suffix}"`;if("includes"===i.format)return`Nieprawidłowy ciąg znak\xf3w: musi zawierać "${i.includes}"`;if("regex"===i.format)return`Nieprawidłowy ciąg znak\xf3w: musi odpowiadać wzorcowi ${i.pattern}`;return`Nieprawidłow(y/a/e) ${t[i.format]??i.format}`;case"not_multiple_of":return`Nieprawidłowa liczba: musi być wielokrotnością ${i.divisor}`;case"unrecognized_keys":return`Nierozpoznane klucze${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Nieprawidłowy klucz w ${i.origin}`;case"invalid_union":default:return"Nieprawidłowe dane wejściowe";case"invalid_element":return`Nieprawidłowa wartość w ${i.origin}`}})}},"ps",0,function(){let e,t;return{localeError:(e={string:{unit:"توکي",verb:"ولري"},file:{unit:"بایټس",verb:"ولري"},array:{unit:"توکي",verb:"ولري"},set:{unit:"توکي",verb:"ولري"}},t={regex:"ورودي",email:"بریښنالیک",url:"یو آر ال",emoji:"ایموجي",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"نیټه او وخت",date:"نېټه",time:"وخت",duration:"موده",ipv4:"د IPv4 پته",ipv6:"د IPv6 پته",cidrv4:"د IPv4 ساحه",cidrv6:"د IPv6 ساحه",base64:"base64-encoded متن",base64url:"base64url-encoded متن",json_string:"JSON متن",e164:"د E.164 شمېره",jwt:"JWT",template_literal:"ورودي"},i=>{switch(i.code){case"invalid_type":return`ناسم ورودي: باید ${i.expected} وای, مګر ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"عدد";case"object":if(Array.isArray(e))return"ارې";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)} ترلاسه شو`;case"invalid_value":if(1===i.values.length)return`ناسم ورودي: باید ${V.stringifyPrimitive(i.values[0])} وای`;return`ناسم انتخاب: باید یو له ${V.joinValues(i.values,"|")} څخه وای`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`ډیر لوی: ${i.origin??"ارزښت"} باید ${t}${i.maximum.toString()} ${r.unit??"عنصرونه"} ولري`;return`ډیر لوی: ${i.origin??"ارزښت"} باید ${t}${i.maximum.toString()} وي`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`ډیر کوچنی: ${i.origin} باید ${t}${i.minimum.toString()} ${r.unit} ولري`;return`ډیر کوچنی: ${i.origin} باید ${t}${i.minimum.toString()} وي`}case"invalid_format":if("starts_with"===i.format)return`ناسم متن: باید د "${i.prefix}" سره پیل شي`;if("ends_with"===i.format)return`ناسم متن: باید د "${i.suffix}" سره پای ته ورسيږي`;if("includes"===i.format)return`ناسم متن: باید "${i.includes}" ولري`;if("regex"===i.format)return`ناسم متن: باید د ${i.pattern} سره مطابقت ولري`;return`${t[i.format]??i.format} ناسم دی`;case"not_multiple_of":return`ناسم عدد: باید د ${i.divisor} مضرب وي`;case"unrecognized_keys":return`ناسم ${i.keys.length>1?"کلیډونه":"کلیډ"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`ناسم کلیډ په ${i.origin} کې`;case"invalid_union":default:return"ناسمه ورودي";case"invalid_element":return`ناسم عنصر په ${i.origin} کې`}})}},"pt",0,function(){let e,t;return{localeError:(e={string:{unit:"caracteres",verb:"ter"},file:{unit:"bytes",verb:"ter"},array:{unit:"itens",verb:"ter"},set:{unit:"itens",verb:"ter"}},t={regex:"padrão",email:"endereço de e-mail",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"data e hora ISO",date:"data ISO",time:"hora ISO",duration:"duração ISO",ipv4:"endereço IPv4",ipv6:"endereço IPv6",cidrv4:"faixa de IPv4",cidrv6:"faixa de IPv6",base64:"texto codificado em base64",base64url:"URL codificada em base64",json_string:"texto JSON",e164:"número E.164",jwt:"JWT",template_literal:"entrada"},i=>{switch(i.code){case"invalid_type":return`Tipo inv\xe1lido: esperado ${i.expected}, recebido ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"número";case"object":if(Array.isArray(e))return"array";if(null===e)return"nulo";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Entrada inv\xe1lida: esperado ${V.stringifyPrimitive(i.values[0])}`;return`Op\xe7\xe3o inv\xe1lida: esperada uma das ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Muito grande: esperado que ${i.origin??"valor"} tivesse ${t}${i.maximum.toString()} ${r.unit??"elementos"}`;return`Muito grande: esperado que ${i.origin??"valor"} fosse ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Muito pequeno: esperado que ${i.origin} tivesse ${t}${i.minimum.toString()} ${r.unit}`;return`Muito pequeno: esperado que ${i.origin} fosse ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Texto inv\xe1lido: deve come\xe7ar com "${i.prefix}"`;if("ends_with"===i.format)return`Texto inv\xe1lido: deve terminar com "${i.suffix}"`;if("includes"===i.format)return`Texto inv\xe1lido: deve incluir "${i.includes}"`;if("regex"===i.format)return`Texto inv\xe1lido: deve corresponder ao padr\xe3o ${i.pattern}`;return`${t[i.format]??i.format} inv\xe1lido`;case"not_multiple_of":return`N\xfamero inv\xe1lido: deve ser m\xfaltiplo de ${i.divisor}`;case"unrecognized_keys":return`Chave${i.keys.length>1?"s":""} desconhecida${i.keys.length>1?"s":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Chave inv\xe1lida em ${i.origin}`;case"invalid_union":return"Entrada inválida";case"invalid_element":return`Valor inv\xe1lido em ${i.origin}`;default:return"Campo inválido"}})}},"ru",0,function(){let e,t;return{localeError:(e={string:{unit:{one:"символ",few:"символа",many:"символов"},verb:"иметь"},file:{unit:{one:"байт",few:"байта",many:"байт"},verb:"иметь"},array:{unit:{one:"элемент",few:"элемента",many:"элементов"},verb:"иметь"},set:{unit:{one:"элемент",few:"элемента",many:"элементов"},verb:"иметь"}},t={regex:"ввод",email:"email адрес",url:"URL",emoji:"эмодзи",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO дата и время",date:"ISO дата",time:"ISO время",duration:"ISO длительность",ipv4:"IPv4 адрес",ipv6:"IPv6 адрес",cidrv4:"IPv4 диапазон",cidrv6:"IPv6 диапазон",base64:"строка в формате base64",base64url:"строка в формате base64url",json_string:"JSON строка",e164:"номер E.164",jwt:"JWT",template_literal:"ввод"},i=>{switch(i.code){case"invalid_type":return`Неверный ввод: ожидалось ${i.expected}, получено ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"число";case"object":if(Array.isArray(e))return"массив";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Неверный ввод: ожидалось ${V.stringifyPrimitive(i.values[0])}`;return`Неверный вариант: ожидалось одно из ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r){let e=tA(Number(i.maximum),r.unit.one,r.unit.few,r.unit.many);return`Слишком большое значение: ожидалось, что ${i.origin??"значение"} будет иметь ${t}${i.maximum.toString()} ${e}`}return`Слишком большое значение: ожидалось, что ${i.origin??"значение"} будет ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r){let e=tA(Number(i.minimum),r.unit.one,r.unit.few,r.unit.many);return`Слишком маленькое значение: ожидалось, что ${i.origin} будет иметь ${t}${i.minimum.toString()} ${e}`}return`Слишком маленькое значение: ожидалось, что ${i.origin} будет ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Неверная строка: должна начинаться с "${i.prefix}"`;if("ends_with"===i.format)return`Неверная строка: должна заканчиваться на "${i.suffix}"`;if("includes"===i.format)return`Неверная строка: должна содержать "${i.includes}"`;if("regex"===i.format)return`Неверная строка: должна соответствовать шаблону ${i.pattern}`;return`Неверный ${t[i.format]??i.format}`;case"not_multiple_of":return`Неверное число: должно быть кратным ${i.divisor}`;case"unrecognized_keys":return`Нераспознанн${i.keys.length>1?"ые":"ый"} ключ${i.keys.length>1?"и":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Неверный ключ в ${i.origin}`;case"invalid_union":default:return"Неверные входные данные";case"invalid_element":return`Неверное значение в ${i.origin}`}})}},"sl",0,function(){let e,t;return{localeError:(e={string:{unit:"znakov",verb:"imeti"},file:{unit:"bajtov",verb:"imeti"},array:{unit:"elementov",verb:"imeti"},set:{unit:"elementov",verb:"imeti"}},t={regex:"vnos",email:"e-poštni naslov",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO datum in čas",date:"ISO datum",time:"ISO čas",duration:"ISO trajanje",ipv4:"IPv4 naslov",ipv6:"IPv6 naslov",cidrv4:"obseg IPv4",cidrv6:"obseg IPv6",base64:"base64 kodiran niz",base64url:"base64url kodiran niz",json_string:"JSON niz",e164:"E.164 številka",jwt:"JWT",template_literal:"vnos"},i=>{switch(i.code){case"invalid_type":return`Neveljaven vnos: pričakovano ${i.expected}, prejeto ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"število";case"object":if(Array.isArray(e))return"tabela";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Neveljaven vnos: pričakovano ${V.stringifyPrimitive(i.values[0])}`;return`Neveljavna možnost: pričakovano eno izmed ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Preveliko: pričakovano, da bo ${i.origin??"vrednost"} imelo ${t}${i.maximum.toString()} ${r.unit??"elementov"}`;return`Preveliko: pričakovano, da bo ${i.origin??"vrednost"} ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Premajhno: pričakovano, da bo ${i.origin} imelo ${t}${i.minimum.toString()} ${r.unit}`;return`Premajhno: pričakovano, da bo ${i.origin} ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Neveljaven niz: mora se začeti z "${i.prefix}"`;if("ends_with"===i.format)return`Neveljaven niz: mora se končati z "${i.suffix}"`;if("includes"===i.format)return`Neveljaven niz: mora vsebovati "${i.includes}"`;if("regex"===i.format)return`Neveljaven niz: mora ustrezati vzorcu ${i.pattern}`;return`Neveljaven ${t[i.format]??i.format}`;case"not_multiple_of":return`Neveljavno število: mora biti večkratnik ${i.divisor}`;case"unrecognized_keys":return`Neprepoznan${i.keys.length>1?"i ključi":" ključ"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Neveljaven ključ v ${i.origin}`;case"invalid_union":default:return"Neveljaven vnos";case"invalid_element":return`Neveljavna vrednost v ${i.origin}`}})}},"sv",0,function(){let e,t;return{localeError:(e={string:{unit:"tecken",verb:"att ha"},file:{unit:"bytes",verb:"att ha"},array:{unit:"objekt",verb:"att innehålla"},set:{unit:"objekt",verb:"att innehålla"}},t={regex:"reguljärt uttryck",email:"e-postadress",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO-datum och tid",date:"ISO-datum",time:"ISO-tid",duration:"ISO-varaktighet",ipv4:"IPv4-intervall",ipv6:"IPv6-intervall",cidrv4:"IPv4-spektrum",cidrv6:"IPv6-spektrum",base64:"base64-kodad sträng",base64url:"base64url-kodad sträng",json_string:"JSON-sträng",e164:"E.164-nummer",jwt:"JWT",template_literal:"mall-literal"},i=>{switch(i.code){case"invalid_type":return`Ogiltig inmatning: f\xf6rv\xe4ntat ${i.expected}, fick ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"antal";case"object":if(Array.isArray(e))return"lista";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Ogiltig inmatning: f\xf6rv\xe4ntat ${V.stringifyPrimitive(i.values[0])}`;return`Ogiltigt val: f\xf6rv\xe4ntade en av ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`F\xf6r stor(t): f\xf6rv\xe4ntade ${i.origin??"värdet"} att ha ${t}${i.maximum.toString()} ${r.unit??"element"}`;return`F\xf6r stor(t): f\xf6rv\xe4ntat ${i.origin??"värdet"} att ha ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`F\xf6r lite(t): f\xf6rv\xe4ntade ${i.origin??"värdet"} att ha ${t}${i.minimum.toString()} ${r.unit}`;return`F\xf6r lite(t): f\xf6rv\xe4ntade ${i.origin??"värdet"} att ha ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Ogiltig str\xe4ng: m\xe5ste b\xf6rja med "${i.prefix}"`;if("ends_with"===i.format)return`Ogiltig str\xe4ng: m\xe5ste sluta med "${i.suffix}"`;if("includes"===i.format)return`Ogiltig str\xe4ng: m\xe5ste inneh\xe5lla "${i.includes}"`;if("regex"===i.format)return`Ogiltig str\xe4ng: m\xe5ste matcha m\xf6nstret "${i.pattern}"`;return`Ogiltig(t) ${t[i.format]??i.format}`;case"not_multiple_of":return`Ogiltigt tal: m\xe5ste vara en multipel av ${i.divisor}`;case"unrecognized_keys":return`${i.keys.length>1?"Okända nycklar":"Okänd nyckel"}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Ogiltig nyckel i ${i.origin??"värdet"}`;case"invalid_union":default:return"Ogiltig input";case"invalid_element":return`Ogiltigt v\xe4rde i ${i.origin??"värdet"}`}})}},"ta",0,function(){let e,t;return{localeError:(e={string:{unit:"எழுத்துக்கள்",verb:"கொண்டிருக்க வேண்டும்"},file:{unit:"பைட்டுகள்",verb:"கொண்டிருக்க வேண்டும்"},array:{unit:"உறுப்புகள்",verb:"கொண்டிருக்க வேண்டும்"},set:{unit:"உறுப்புகள்",verb:"கொண்டிருக்க வேண்டும்"}},t={regex:"உள்ளீடு",email:"மின்னஞ்சல் முகவரி",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO தேதி நேரம்",date:"ISO தேதி",time:"ISO நேரம்",duration:"ISO கால அளவு",ipv4:"IPv4 முகவரி",ipv6:"IPv6 முகவரி",cidrv4:"IPv4 வரம்பு",cidrv6:"IPv6 வரம்பு",base64:"base64-encoded சரம்",base64url:"base64url-encoded சரம்",json_string:"JSON சரம்",e164:"E.164 எண்",jwt:"JWT",template_literal:"input"},i=>{switch(i.code){case"invalid_type":return`தவறான உள்ளீடு: எதிர்பார்க்கப்பட்டது ${i.expected}, பெறப்பட்டது ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"எண் அல்லாதது":"எண்";case"object":if(Array.isArray(e))return"அணி";if(null===e)return"வெறுமை";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`தவறான உள்ளீடு: எதிர்பார்க்கப்பட்டது ${V.stringifyPrimitive(i.values[0])}`;return`தவறான விருப்பம்: எதிர்பார்க்கப்பட்டது ${V.joinValues(i.values,"|")} இல் ஒன்று`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`மிக பெரியது: எதிர்பார்க்கப்பட்டது ${i.origin??"மதிப்பு"} ${t}${i.maximum.toString()} ${r.unit??"உறுப்புகள்"} ஆக இருக்க வேண்டும்`;return`மிக பெரியது: எதிர்பார்க்கப்பட்டது ${i.origin??"மதிப்பு"} ${t}${i.maximum.toString()} ஆக இருக்க வேண்டும்`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`மிகச் சிறியது: எதிர்பார்க்கப்பட்டது ${i.origin} ${t}${i.minimum.toString()} ${r.unit} ஆக இருக்க வேண்டும்`;return`மிகச் சிறியது: எதிர்பார்க்கப்பட்டது ${i.origin} ${t}${i.minimum.toString()} ஆக இருக்க வேண்டும்`}case"invalid_format":if("starts_with"===i.format)return`தவறான சரம்: "${i.prefix}" இல் தொடங்க வேண்டும்`;if("ends_with"===i.format)return`தவறான சரம்: "${i.suffix}" இல் முடிவடைய வேண்டும்`;if("includes"===i.format)return`தவறான சரம்: "${i.includes}" ஐ உள்ளடக்க வேண்டும்`;if("regex"===i.format)return`தவறான சரம்: ${i.pattern} முறைபாட்டுடன் பொருந்த வேண்டும்`;return`தவறான ${t[i.format]??i.format}`;case"not_multiple_of":return`தவறான எண்: ${i.divisor} இன் பலமாக இருக்க வேண்டும்`;case"unrecognized_keys":return`அடையாளம் தெரியாத விசை${i.keys.length>1?"கள்":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`${i.origin} இல் தவறான விசை`;case"invalid_union":default:return"தவறான உள்ளீடு";case"invalid_element":return`${i.origin} இல் தவறான மதிப்பு`}})}},"th",0,function(){let e,t;return{localeError:(e={string:{unit:"ตัวอักษร",verb:"ควรมี"},file:{unit:"ไบต์",verb:"ควรมี"},array:{unit:"รายการ",verb:"ควรมี"},set:{unit:"รายการ",verb:"ควรมี"}},t={regex:"ข้อมูลที่ป้อน",email:"ที่อยู่อีเมล",url:"URL",emoji:"อิโมจิ",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"วันที่เวลาแบบ ISO",date:"วันที่แบบ ISO",time:"เวลาแบบ ISO",duration:"ช่วงเวลาแบบ ISO",ipv4:"ที่อยู่ IPv4",ipv6:"ที่อยู่ IPv6",cidrv4:"ช่วง IP แบบ IPv4",cidrv6:"ช่วง IP แบบ IPv6",base64:"ข้อความแบบ Base64",base64url:"ข้อความแบบ Base64 สำหรับ URL",json_string:"ข้อความแบบ JSON",e164:"เบอร์โทรศัพท์ระหว่างประเทศ (E.164)",jwt:"โทเคน JWT",template_literal:"ข้อมูลที่ป้อน"},i=>{switch(i.code){case"invalid_type":return`ประเภทข้อมูลไม่ถูกต้อง: ควรเป็น ${i.expected} แต่ได้รับ ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"ไม่ใช่ตัวเลข (NaN)":"ตัวเลข";case"object":if(Array.isArray(e))return"อาร์เรย์ (Array)";if(null===e)return"ไม่มีค่า (null)";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`ค่าไม่ถูกต้อง: ควรเป็น ${V.stringifyPrimitive(i.values[0])}`;return`ตัวเลือกไม่ถูกต้อง: ควรเป็นหนึ่งใน ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"ไม่เกิน":"น้อยกว่า",r=e[i.origin]??null;if(r)return`เกินกำหนด: ${i.origin??"ค่า"} ควรมี${t} ${i.maximum.toString()} ${r.unit??"รายการ"}`;return`เกินกำหนด: ${i.origin??"ค่า"} ควรมี${t} ${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?"อย่างน้อย":"มากกว่า",r=e[i.origin]??null;if(r)return`น้อยกว่ากำหนด: ${i.origin} ควรมี${t} ${i.minimum.toString()} ${r.unit}`;return`น้อยกว่ากำหนด: ${i.origin} ควรมี${t} ${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`รูปแบบไม่ถูกต้อง: ข้อความต้องขึ้นต้นด้วย "${i.prefix}"`;if("ends_with"===i.format)return`รูปแบบไม่ถูกต้อง: ข้อความต้องลงท้ายด้วย "${i.suffix}"`;if("includes"===i.format)return`รูปแบบไม่ถูกต้อง: ข้อความต้องมี "${i.includes}" อยู่ในข้อความ`;if("regex"===i.format)return`รูปแบบไม่ถูกต้อง: ต้องตรงกับรูปแบบที่กำหนด ${i.pattern}`;return`รูปแบบไม่ถูกต้อง: ${t[i.format]??i.format}`;case"not_multiple_of":return`ตัวเลขไม่ถูกต้อง: ต้องเป็นจำนวนที่หารด้วย ${i.divisor} ได้ลงตัว`;case"unrecognized_keys":return`พบคีย์ที่ไม่รู้จัก: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`คีย์ไม่ถูกต้องใน ${i.origin}`;case"invalid_union":return"ข้อมูลไม่ถูกต้อง: ไม่ตรงกับรูปแบบยูเนียนที่กำหนดไว้";case"invalid_element":return`ข้อมูลไม่ถูกต้องใน ${i.origin}`;default:return"ข้อมูลไม่ถูกต้อง"}})}},"tr",0,function(){let e,t;return{localeError:(e={string:{unit:"karakter",verb:"olmalı"},file:{unit:"bayt",verb:"olmalı"},array:{unit:"öğe",verb:"olmalı"},set:{unit:"öğe",verb:"olmalı"}},t={regex:"girdi",email:"e-posta adresi",url:"URL",emoji:"emoji",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"ISO tarih ve saat",date:"ISO tarih",time:"ISO saat",duration:"ISO süre",ipv4:"IPv4 adresi",ipv6:"IPv6 adresi",cidrv4:"IPv4 aralığı",cidrv6:"IPv6 aralığı",base64:"base64 ile şifrelenmiş metin",base64url:"base64url ile şifrelenmiş metin",json_string:"JSON dizesi",e164:"E.164 sayısı",jwt:"JWT",template_literal:"Şablon dizesi"},i=>{switch(i.code){case"invalid_type":return`Ge\xe7ersiz değer: beklenen ${i.expected}, alınan ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"number";case"object":if(Array.isArray(e))return"array";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Ge\xe7ersiz değer: beklenen ${V.stringifyPrimitive(i.values[0])}`;return`Ge\xe7ersiz se\xe7enek: aşağıdakilerden biri olmalı: ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`\xc7ok b\xfcy\xfck: beklenen ${i.origin??"değer"} ${t}${i.maximum.toString()} ${r.unit??"öğe"}`;return`\xc7ok b\xfcy\xfck: beklenen ${i.origin??"değer"} ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`\xc7ok k\xfc\xe7\xfck: beklenen ${i.origin} ${t}${i.minimum.toString()} ${r.unit}`;return`\xc7ok k\xfc\xe7\xfck: beklenen ${i.origin} ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Ge\xe7ersiz metin: "${i.prefix}" ile başlamalı`;if("ends_with"===i.format)return`Ge\xe7ersiz metin: "${i.suffix}" ile bitmeli`;if("includes"===i.format)return`Ge\xe7ersiz metin: "${i.includes}" i\xe7ermeli`;if("regex"===i.format)return`Ge\xe7ersiz metin: ${i.pattern} desenine uymalı`;return`Ge\xe7ersiz ${t[i.format]??i.format}`;case"not_multiple_of":return`Ge\xe7ersiz sayı: ${i.divisor} ile tam b\xf6l\xfcnebilmeli`;case"unrecognized_keys":return`Tanınmayan anahtar${i.keys.length>1?"lar":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`${i.origin} i\xe7inde ge\xe7ersiz anahtar`;case"invalid_union":default:return"Geçersiz değer";case"invalid_element":return`${i.origin} i\xe7inde ge\xe7ersiz değer`}})}},"ua",0,function(){let e,t;return{localeError:(e={string:{unit:"символів",verb:"матиме"},file:{unit:"байтів",verb:"матиме"},array:{unit:"елементів",verb:"матиме"},set:{unit:"елементів",verb:"матиме"}},t={regex:"вхідні дані",email:"адреса електронної пошти",url:"URL",emoji:"емодзі",uuid:"UUID",uuidv4:"UUIDv4",uuidv6:"UUIDv6",nanoid:"nanoid",guid:"GUID",cuid:"cuid",cuid2:"cuid2",ulid:"ULID",xid:"XID",ksuid:"KSUID",datetime:"дата та час ISO",date:"дата ISO",time:"час ISO",duration:"тривалість ISO",ipv4:"адреса IPv4",ipv6:"адреса IPv6",cidrv4:"діапазон IPv4",cidrv6:"діапазон IPv6",base64:"рядок у кодуванні base64",base64url:"рядок у кодуванні base64url",json_string:"рядок JSON",e164:"номер E.164",jwt:"JWT",template_literal:"вхідні дані"},i=>{switch(i.code){case"invalid_type":return`Неправильні вхідні дані: очікується ${i.expected}, отримано ${(e=>{let t=typeof e;switch(t){case"number":return Number.isNaN(e)?"NaN":"число";case"object":if(Array.isArray(e))return"масив";if(null===e)return"null";if(Object.getPrototypeOf(e)!==Object.prototype&&e.constructor)return e.constructor.name}return t})(i.input)}`;case"invalid_value":if(1===i.values.length)return`Неправильні вхідні дані: очікується ${V.stringifyPrimitive(i.values[0])}`;return`Неправильна опція: очікується одне з ${V.joinValues(i.values,"|")}`;case"too_big":{let t=i.inclusive?"<=":"<",r=e[i.origin]??null;if(r)return`Занадто велике: очікується, що ${i.origin??"значення"} ${r.verb} ${t}${i.maximum.toString()} ${r.unit??"елементів"}`;return`Занадто велике: очікується, що ${i.origin??"значення"} буде ${t}${i.maximum.toString()}`}case"too_small":{let t=i.inclusive?">=":">",r=e[i.origin]??null;if(r)return`Занадто мале: очікується, що ${i.origin} ${r.verb} ${t}${i.minimum.toString()} ${r.unit}`;return`Занадто мале: очікується, що ${i.origin} буде ${t}${i.minimum.toString()}`}case"invalid_format":if("starts_with"===i.format)return`Неправильний рядок: повинен починатися з "${i.prefix}"`;if("ends_with"===i.format)return`Неправильний рядок: повинен закінчуватися на "${i.suffix}"`;if("includes"===i.format)return`Неправильний рядок: повинен містити "${i.includes}"`;if("regex"===i.format)return`Неправильний рядок: повинен відповідати шаблону ${i.pattern}`;return`Неправильний ${t[i.format]??i.format}`;case"not_multiple_of":return`Неправильне число: повинно бути кратним ${i.divisor}`;case"unrecognized_keys":return`Нерозпізнаний ключ${i.keys.length>1?"і":""}: ${V.joinValues(i.keys,", ")}`;case"invalid_key":return`Неправильний ключ у ${i.origin}`;case"invalid_union":default:return"Неправильні вхідні 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