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14 commits
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6a0d03914c
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test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
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680bcfd8aa
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test(lint): ban blind pytest.raises(Exception) with ruff B017 (#37731)
* test(lint): ban blind pytest.raises(Exception) with ruff B017 A bare pytest.raises(Exception) accepts whatever the body throws. The TypeError a refactor introduces satisfies it exactly as well as the rejection the test was written for, so the crash reads as a pass and the test never goes red. All 111 existing sites are narrowed here. A runtime probe recorded the concrete exception each one actually catches, and each site now names that type. Where the code under test genuinely raises a bare Exception, the site pins a stable slice of the message with match= instead. Two sites tell on themselves. The shared responses-API cancel test raises "custom_llm_provider is required but passed as None" rather than talking to a provider at all, because cancel_responses takes a provider, not a model. And test_bedrock_guardrails_with_streaming was the only test in its file still passing without AWS credentials, because the NoCredentialsError boto3 raised long before the guardrail ran satisfied the blind raises. * fix(test): widen the openai batch-dispatch assertion to OpenAIError The narrowed NotFoundError only holds where OPENAI_API_KEY is set. Without one the SDK raises OpenAIError while building the client, long before any 404, so CI went red. OpenAIError covers both and still rejects a TypeError from a refactor. |
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9ec900f964
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fix(redis): stop an unreachable Redis from blocking every request (#35273)
Two defects combined to make a Redis outage take the proxy down rather than degrade it. First, connection kwargs were dropped whenever Redis was configured by url. _get_redis_url_kwargs built its allowlist from inspect.getfullargspec(redis.Redis.from_url); from_url is declared (cls, url, **kwargs), so the argspec carried no connection kwargs and the function returned ['cls', 'url', 'url']. socket_timeout went with the rest, and socket_connect_timeout falls back to it, so both ended up None and a Redis host that drops packets rather than refusing them blocked callers indefinitely. get_redis_connection_pool's url branch lost the same kwargs by a different route, rebuilding its pool kwargs from scratch. The allowlist now comes from the connection class redis-py actually forwards those kwargs to, walking the MRO because redis-py splits them between AbstractConnection and its subclasses. Deriving it from the client instead would admit client-only settings such as single_connection_client and the SSLConnection-only ssl_* family, which reach AbstractConnection and raise TypeError on first connect. Second, the circuit breaker could not trip even once calls failed fast. _redis_circuit_breaker_guard inferred success from the method returning, but async_get_cache, async_batch_get_cache, async_set_cache, async_set_cache_pipeline, async_set_cache_sadd and async_get_ttl catch their own connection errors and return a default so callers degrade. Each failed call therefore reset the failure streak and the breaker never opened, so an unreachable Redis stayed in the pool and every request kept paying a full socket timeout on it. Those methods now mark the failure and the guard records success only when nothing failed while the method ran. Lua script execution went through none of this, which mattered most because the rate limiter issues all of its Redis traffic that way, so the guard is now a small helper shared by both. The per-call marker is a ContextVar rather than a counter on the breaker. Breakers are shared by every concurrent caller, so a shared counter cannot tell "my call failed" from "some other in-flight call failed", and a success overlapping someone else's failure would be discarded until a Redis that was still answering got evicted from the pool anyway. Only connectivity failures feed the breaker. Command and data errors say nothing about whether Redis is reachable, and counting them would let a caller provoke evictions on demand (an INCR against a non-numeric value, say), dropping rate limiting to per-process counters that spreading traffic across replicas can outrun. |
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58e87985e5
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test: remove tests that mutation analysis proved assert nothing
25 test functions across three files pass unchanged when every function they execute is mutated; the owning file killed zero of their scored mutants. Four zero-kill tests tied to the fix in #31288 are kept for rewrite instead of removal. |
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88c7755283
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fix(redis): loop-scope async Lua script registration (#31501)
Some checks are pending
GitHub Actions Security Analysis / zizmor (push) Waiting to run
* fix(redis): loop-scope async Lua script registration async_register_script registered the Lua script eagerly and returned a callable bound to the Redis client of the event loop running at registration time. The v3 parallel request limiter registers its three scripts once in __init__ at proxy startup and stores them, so a request or logging callback on another loop awaited a script bound to the startup loop and hit "got Future attached to a different loop". The limiter then fell back to a pipeline that reset the window TTL every increment, so counters never expired and an 80M TPM model rate-limited around 40M. Defer registration to call time and cache the per-loop executor in in_memory_llm_clients_cache (which already keys on the running loop), so each loop runs the script against its own client. Covers all five consumers of the primitive. Resolves LIT-3298 * fix(redis): await evalsha on the cluster Lua script path The cluster branch returned the evalsha coroutine without awaiting it, so callers received a coroutine instead of the script result. Await it, which also addresses the cluster path called out in review. |
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7eacdd5258
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chore: litellm oss staging 250626 (#31305)
* fix(anthropic): support Bearer auth for custom api_base endpoints (Fixes #30926) * style: format common_utils.py with black * fix(anthropic): extract api_base from litellm_params in batches/files validate_environment * fix(anthropic): scope Bearer key check to custom api_base endpoints * fix(streaming): reset Anthropic message_start cursor (output_tokens=1) when no message_delta arrives The Anthropic streaming protocol emits `message_start.usage.output_tokens=1` as a placeholder cursor; the real cumulative output count only arrives in the final `message_delta` event. When a stream is cancelled before `message_delta` lands (common for thinking models on long-tail prompts), ChunkProcessor._calculate_usage_per_chunk's last-wins accumulator left completion_tokens stuck at 1. Because 1 is truthy, the `completion_tokens or token_counter(text=...)` fallback in calculate_usage() never fired, and requests were billed for 1 output token even when several thousand tokens of text had actually streamed. Fix: track whether any chunk's completion_tokens exceeded 1 (saw_non_cursor_completion). If the only update we saw was the cursor, reset completion_tokens to 0 so the text-based fallback estimates from the real completion content. Legitimate 1-token completions (model returns "Yes." etc.) are unaffected in practice — token_counter on a 1-token completion_output also yields ~1, so billing stays approximately correct. Tests: - TestAnthropicCursorBug (6 cases) — pins the post-fix behavior - TestNonAnthropicStreamingIntact (2 cases) — guards against regression on providers without the cursor pattern All 8 new tests pass; 9 existing streaming_chunk_builder_utils tests still pass. * fix(streaming): scope cursor reset to anthropic provider + recognize message_delta arrival Addresses both Greptile P2 threads on PR #30420: CLASS A — Anthropic-specific heuristic was applied globally ============================================================ The `completion_tokens == 1 and not saw_non_cursor_completion` reset lived in provider-neutral `streaming_chunk_builder_utils.py`. Any non-Anthropic provider that legitimately reports completion_tokens=1 in a single usage chunk (perfectly normal for short OpenAI / Bedrock / Vertex single-token replies with stream_options.include_usage=true) would have its value silently rewritten to 0 and re-billed via token_counter — producing a different number than what the provider actually charged. Fix: gate the reset on `custom_llm_provider == "anthropic"`, resolved from the first chunk's `_hidden_params` (the same field set by streaming_handler.py:722 on the live path). Unknown / missing provider is treated as non-Anthropic and skips the reset, so newer providers and custom plugins are also safe by default. CLASS B — `saw_non_cursor_completion` missed legitimate single-token replies ============================================================ Previous condition was `usage_chunk_dict["completion_tokens"] > 1`, which never fires for an Anthropic stream where the model legitimately emits exactly one output token (e.g., "Yes."). Anthropic still sends message_start (output_tokens=1, the cursor) AND message_delta (output_tokens=1, the real value) — same value, but two distinct usage events. The old check couldn't tell that apart from a cancelled stream where only message_start landed. Fix: track `completion_usage_updates` and flip `saw_non_cursor_completion` when EITHER (1) the value exceeds 1 (definitely not a placeholder), OR (2) we've seen >=2 completion-bearing usage events (positive evidence that message_delta arrived). Cancelled cursor-only streams still have exactly one event and still hit the reset; cache chunks with completion_tokens=0 don't count toward the threshold. Tests ============================================================ - _make_chunk now sets `_hidden_params["custom_llm_provider"]` (default "anthropic") so the gate is exercised by every existing test — none of them needed assertion changes besides the legitimate-single- token case, which now expects exactly 1 (was a fuzzy 0..3 range). - New: test_anthropic_cache_only_chunks_after_message_start_still_resets - New: test_non_anthropic_provider_completion_tokens_one_not_reset - New: test_unknown_provider_completion_tokens_one_not_reset 11/11 tests pass. * chore: add Co-authored-by trailer for attribution Co-authored-by: songkuan-zheng <songkuan-zheng@users.noreply.github.com> * fix(anthropic): preserve messages cache usage * style(anthropic): format messages cache usage helper * fix(anthropic): accept integral float cache token counts Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * fix(anthropic): accept integral float cache token counts * test(anthropic): cover cache usage edge cases * fix(gemini): preserve thoughtSignature for server-side tool responses When Gemini API returns toolCall and toolResponse parts, they might have different thoughtSignatures. Previously, LiteLLM merged them into a single dict, overwriting the response's thoughtSignature with the call's. This fix extracts them separately and re-injects them correctly. TAG=agy CONV=755b21d0-3200-40bc-bd1a-bb58a378a9a6 * fix(gemini): address PR comments on thoughtSignature handling - Fix orphan-response thoughtSignature regression by copying thought_signature to response_thought_signature - Add missing assertions in existing tests - Add new unit tests for orphan-response signature handling TAG=agy CONV=755b21d0-3200-40bc-bd1a-bb58a378a9a6 * feat(mcp): include server alias and server_id in mcp_info response - Add alias and server_id fields to mcp_info object in /mcp-rest/tools/list endpoint - Update rest_endpoints.py to surface alias from server config - Add test coverage in test_mcp_server.py and test_rest_endpoints.py Fixes #31015 * fix(proxy): reject non-finite spend via validate_finite_spend A NaN/-inf spend would bypass spend >= max_budget enforcement. Add a shared finite-value guard, defined above the litellm.proxy.* imports to avoid the module-level cyclic-import warning. * fix(proxy): require admin for any /key/update spend, reject non-finite Gate the admin check on the presence of `spend` (not a value diff): the DB spend lags the live cross-pod counter, so an "unchanged" spend on the non-admin path let a key owner / team member overwrite the live counter below real usage. Also reject NaN/+-inf spend before the DB write. * fix(proxy): invalidate spend counter on /user/update spend change A direct spend change on /user/update wrote the DB row but left the warm cross-pod counter at the stale value, so enforcement kept reading the old spend. Invalidate spend:user:{user_id} after the write (reseed-from-DB), and reject non-finite spend before the write. * fix(cache): route Bedrock semantic-cache sync embedding through the Router (#28244) The semantic cache's embedding model is a proxy Router alias whose AWS credentials (aws_role_name, aws_session_name) live only in the Router deployment's litellm_params. The sync embedding paths called litellm.embedding() directly, bypassing the Router, so they could neither resolve the alias nor assume the configured role; cross-account Bedrock semantic caching failed with "bedrock:InvokeModel is not authorized". On Redis this surfaced at proxy startup because redisvl's CustomTextVectorizer eagerly fires a dimension-probe embedding during cache construction, while llm_router is still None. Fix A: make the sync paths mirror the already-correct async paths. A shared, dependency-injected helper (litellm/caching/_embedding_router.py) decides whether to route through llm_router.embedding(...) when the model is a Router deployment, else fall back to direct litellm.embedding(...). Redis and qdrant sync set_cache/get_cache now precompute the embedding and pass vector= to the backend, exactly as the async astore/acheck already do. Both async _get_async_embedding methods are unified onto the same helper and now forward the caller's full metadata instead of a hand-picked subset. Fix B (Redis only): defer redisvl index construction from __init__ into a lazy, memoized llmcache property, so the dimension-probe embedding fires on first cache use, after llm_router is wired. A failed build is not memoized, so a transient outage recovers on the next request. Known limitation: resolve_embedding_router gates on an exact model-name match (same as the shipped async path); wildcard/alias/team-public routes still fall back to direct embedding. Tracked as a follow-up. * fix(cache): harden embedding-router and shrink Any surface (review) Address review feedback on the semantic-cache aws-role fix (#28244): - resolve_embedding_router now skips deployment entries missing model_name instead of raising KeyError on a malformed model_list (Greptile P2); add a regression test that fails on the old direct-key access. - Replace the `**kwargs: Any` passthrough on the four cache _get_embedding / _get_async_embedding helpers with an explicit, typed `metadata: Optional[Dict[str, Any]] = None` parameter. The helpers only ever consumed kwargs["metadata"], so this is behavior-preserving, makes the forwarded field obvious at the call site, and removes three bare-Any annotations (keeps the strict-rule ANN401 budget within ceiling). - Note in _build_llmcache that redisvl's dimension-probe embedding adds one extra billable embedding on the first cache request (Greptile P2). * fix(bedrock_mantle): correct responses routing for openai.gpt-5.x models Dashboard Test Connection for bedrock_mantle/openai.gpt-5.4 and openai.gpt-5.5 was failing with maximum recursion depth errors and "model does not exist" Route detection in the bedrock provider matched route tokens by plain substring, so the bedrock_mantle/ prefix was mistaken for the mantle/ invoke route and the body model was rewritten to bedrock_openai.gpt-5.5; route tokens now only match at a path-segment boundary so the bare model name is preserved A responses-mode model whose provider has no responses config bounced forever between the responses API and chat completions; the responses to completion fallback now tags its call so completion() does not bridge back, breaking the loop The Test Connection endpoint hardcoded the test mode to chat, which disabled mode auto-detection for responses-only models; the default is now None so the mode is detected from model capabilities acompletion() now drops a duplicate acompletion kwarg before building the partial and treats model_info=None as an empty dict to avoid a NoneType crash * test(bedrock_mantle): cover route guard and bridge flag; fix reportArgumentType regression Adds the regression coverage codecov flagged on the two responses to completion bridge guard lines and the bedrock route-prefix helper. The handler tests drive both the sync and async fallback paths with litellm.completion and litellm.acompletion mocked, and assert the forwarded kwargs carry _skip_responses_api_bridge=True, so dropping either flag line fails the suite. The common_utils tests assert that bedrock_mantle/openai.gpt-5.x no longer resolves to the mantle route while the genuine mantle/ and bedrock/mantle/ ids still do, exercising both branches of _model_has_route_prefix. Also aligns update_messages_with_model_file_ids model_id to Optional[str], matching its Responses API sibling, so the defensive model_info fallback no longer introduces a new reportArgumentType in completion(); the file-id lookup narrows model_id before the dict get * chore(ui): sync generated OpenAPI types for optional test_connection mode The test_model_connection mode body param default changed from chat to None so the mode is auto-detected from model capabilities, which makes the field optional in the proxy OpenAPI spec. Regenerate the committed schema so the dashboard types match: mode becomes optional and the description and default JSDoc follow the spec, keeping the Check UI API Types Sync gate green * refactor(bedrock): match all explicit route prefixes at path-segment boundary Migrates the remaining substring route checks to the existing _model_has_route_prefix helper so every explicit route token matches only as a leading path segment, consistent with get_bedrock_route and the mantle route. Covers _explicit_converse_route, _explicit_claude_platform_route, _explicit_invoke_route, _explicit_agent_route, _explicit_agentcore_route, _explicit_converse_like_route, _explicit_async_invoke_route and _explicit_openai_route. This also stops invoke/ from substring-matching async_invoke/. Route precedence and order are unchanged, and a note on the segment invariant is added to the helper docstring * test(bedrock): cover explicit route prefix segment matching Exercises all eight migrated _explicit_*_route helpers (converse, converse_like, invoke, async_invoke, agent, agentcore, claude_platform, openai) directly: each matches its token as a leading path segment and rejects the token glued to a preceding segment, so reverting any method to the old substring check fails the suite. Also asserts invoke/ no longer matches async_invoke/ models, the concrete improvement of the segment-boundary migration * test(proxy): assert negative spend is allowed (one-time grant use-case) Negative spend is intentionally permitted so admins can grant extra allowance for the current budget period only, without raising the recurring budget ceiling. Cover it explicitly in validate_finite_spend and via the /user/update invalidation test. * fix(google_genai): forward native generateContent top-level fields Google's native generateContent REST body carries safetySettings, toolConfig, cachedContent and labels at the top level as siblings of generationConfig. The proxy's :generateContent endpoint spread them into agenerate_content as loose kwargs and then dropped them, so callers had to wrap them in extra_body for them to take effect; safetySettings, for instance, was silently ignored The provider config now exposes the native top-level field names and setup_generate_content_call collects whichever are present, merging them into the outgoing request body through the existing extra_body merge so they reach Google verbatim. An explicit extra_body still wins on conflict. The sync generate_content_stream path now also forwards systemInstruction, matching the other three entry points Fixes #12671 Claude-Session: https://claude.ai/code/session_016MFtMXokCjT8u6mvyASudK * fix(proxy): resolve env refs for DB-stored models * fix(proxy): restrict DB env ref resolution * fix(proxy): block team DB env ref resolution * fix(lint): resolve ANN401/UP045/C901 strict-gate violations - Replace Optional[X] with X | None (UP045) in 8 files - Replace Any return/param types with concrete types or object (ANN401) - Extract _make_api_key_auth_header helper to reduce get_anthropic_headers complexity below C901 threshold (17 → 14) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(anthropic): preserve x-api-key for custom endpoints; opt-in Bearer via prefix Users who pass a key already prefixed with "Bearer " get Authorization: Bearer. All other keys continue to use x-api-key, preserving backward compatibility with custom api_base endpoints that expect x-api-key rather than Authorization. Also consolidates get_auth_header to reuse _make_api_key_auth_header helper, eliminating the duplicated custom-endpoint routing logic. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * revert(anthropic): restore Bearer routing for non-sk-ant- keys on custom api_base The backwards-compat change broke existing tests that verify the intentional Bearer-for-custom-base behavior (Fixes #30926). Restore original logic while keeping the _make_api_key_auth_header helper for code deduplication. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(anthropic): gate Bearer-for-custom-base behind use_bearer_for_custom_base flag Previously the auth-header switch from x-api-key to Authorization: Bearer applied unconditionally for non-sk-ant- keys on a custom api_base, silently breaking existing deployments that proxied to gateways expecting x-api-key. Introduce use_bearer_for_custom_base: bool = False on _make_api_key_auth_header, get_anthropic_headers, and get_auth_header. validate_environment reads it from litellm_params so callers can opt in per-model without any API surface change. Tests updated to pass use_bearer_for_custom_base=True where Bearer behavior is asserted. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(redis): apply namespace prefix in delete_cache and async_delete_cache (#29981) DEL was the only Redis cache operation that skipped check_and_fix_namespace, so it targeted the raw SHA256 hash (e.g. 3997c4...) rather than the namespaced key (litellm:3997c4...). This caused two problems: a Redis NOPERM error on deployments with an ACL restricting DEL to the litellm:* pattern, and a silent no-op on all other deployments since the un-prefixed key was never stored. * style(anthropic): reformat common_utils.py with Black (--target-version py312) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: preserve cache metadata and spend counters * style: apply ruff format to streaming_iterator.py * refactor: reduce complexity of usage/spend helpers to satisfy strict ruff gate Extract Anthropic message_start cursor reset into _reset_anthropic_cursor_completion_tokens and the cross-pod spend-counter invalidation into _invalidate_user_spend_counter_if_changed, keeping both _calculate_usage_per_chunk and _update_single_user_helper under the max-complexity ceiling. Use builtin generics in the new signatures so no new UP006 violations are introduced. Behavior unchanged. --------- Co-authored-by: rupak-eng <rupakji99@gmail.com> Co-authored-by: songkuan-zheng <252822057+songkuan-zheng@users.noreply.github.com> Co-authored-by: songkuan-zheng <songkuan-zheng@users.noreply.github.com> Co-authored-by: Kannan Priyadharshan <kpd2204@gmail.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: Marco Georgaklis <mgeorgaklis@google.com> Co-authored-by: Anjaiah Methuku <anjaiahspr@gmail.com> Co-authored-by: Andrii Butko <booandrew23@gmail.com> Co-authored-by: Kent <kingdooo@gmail.com> Co-authored-by: kunal2002 <k.nayyar2002@gmail.com> Co-authored-by: Ali Khan <alirazakhan.offi@gmail.com> Co-authored-by: jesco-absolut <team@srswti.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Matt Hill <mhill@dataminr.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com> |
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01035499da
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fix(cache): apply Redis namespace to all key operations (#31288)
The namespace configured under cache_params was only applied to get/set/
increment paths. Operations that take keys through other code paths (the Lua
scripts registered via async_register_script, delete, scan_iter, rpush, lpop,
get_ttl, and the sync increment_cache) hit raw keys. With a namespace set, the
rate limiter ({key}:tokens/requests/window), pod-lock release, and budget
limiters wrote keys outside the configured prefix, breaking multi-tenant key
isolation and leaving those operations reading keys the namespaced writes never
created.
check_and_fix_namespace is now applied uniformly across every key-taking
RedisCache operation. It is a no-op when no namespace is configured, so
deployments without a namespace are unaffected. The prefix is prepended ahead of
any {hash-tag}, so Redis Cluster slotting is preserved.
Resolves LIT-3374
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9f08db91f9 | Refresh Redis TTL on counter writes and skip stale in-memory on Redis miss | ||
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e8461b5b97
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style: run black formatter on files from main merge | ||
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68a30a39e6 |
fix(proxy): add LPOP pipeline error checking and fix org spend ServiceType
- Add per-command error check in _pipeline_lpop_helper to match _pipeline_rpush_helper, preventing silent data loss on WRONGTYPE errors - Fix pre-existing bug: org spend queue metric was using REDIS_DAILY_SPEND_UPDATE_QUEUE instead of REDIS_DAILY_ORG_SPEND_UPDATE_QUEUE - Add test for per-command LPOP pipeline error propagation |
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98b4964330 |
perf(proxy): pipeline Redis RPUSH/LPOP in spend update cycle
Replace 14 sequential Redis round-trips (7 RPUSH + 7 LPOP) per spend update cycle with 2 pipelined calls (1 RPUSH pipeline + 1 LPOP pipeline). This reduces connection pool contention at scale (50+ pods). - Add RedisPipelineRpushOperation and RedisPipelineLpopOperation TypedDicts - Add async_rpush_pipeline() and async_lpop_pipeline() to RedisCache - Refactor store_in_memory_spend_updates_in_redis() to use pipeline - Add get_all_transactions_from_redis_buffer_pipeline() for batched drain - Update _commit_spend_updates_to_db_with_redis() to use pipeline drain - Existing individual methods preserved for backward compatibility |
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727fe504bb
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fix(redis): handle float redis_version from AWS ElastiCache Valkey (#16207)
* fix(redis): handle float redis_version from AWS ElastiCache Valkey
AWS ElastiCache Valkey returns redis_version as a float (7.0) instead
of a string ('7.0.0'), causing AttributeError: 'float' object has no
attribute 'split' in async_lpop when parsing version for LPOP count.
Changes:
- Extract version parsing into _parse_redis_major_version() helper
- Add DEFAULT_REDIS_MAJOR_VERSION constant (replaces magic number)
- Support multiple version formats: string, float, int, malformed
- Add comprehensive test coverage for all version format edge cases
Fixes: 'LiteLLM Redis Cache LPOP: - Got exception from REDIS' error
during db_spend_update_job cronjobs
* refactor: move DEFAULT_REDIS_MAJOR_VERSION to constants.py
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db23016536
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fix(redis_cache.py): support pipeline redis lpop for older redis vers… (#11425)
* fix(redis_cache.py): support pipeline redis lpop for older redis versions Fixes https://github.com/BerriAI/litellm/issues/10379 * test: add mock host |
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ef42461c1e
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Litellm fix GitHub action testing (#11163)
* test: add __init__.py files * refactor: rename test folder to avoid naming conflict * test: update workflows * test: update tests * test: update imports * test: update tests * test: remove unused import * ci(test-litellm.yml): add pytest retry to github workflow * test: fix test |
Renamed from tests/litellm/caching/test_redis_cache.py (Browse further)