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95015de733
* feat: support goal mode for claude on bedrock
* fix failing lint test
* addressing greptile comments
* fixing failed test
* address greptile: copy output_config and warn on dropped converse format
* fix(bedrock): skip redundant output_config normalization on Converse reasoning_effort path
When reasoning_effort is mapped via _handle_reasoning_effort_parameter, the
resulting output_config is already normalized via
normalize_bedrock_opus_output_config_effort. Mark it as normalized so
_prepare_request_params can skip the redundant call (and the associated
get_model_info lookup) on every request.
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* test(reasoning-effort-grid): reflect Bedrock opus-4-6 xhigh→max clamping
* fix(bedrock): stop leaking output_config marker and message-content mutation
* fix(bedrock): guard effort key access in normalize_bedrock_opus_output_config_effort
Defensively check that 'effort' is a valid key in _BEDROCK_OUTPUT_CONFIG_EFFORT_ORDER
before indexing, to prevent a KeyError if the hardcoded guard tuple ever drifts from
the order dict's keys.
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* fix(bedrock): drop dead second clause in effort normalization guard
The 'effort not in _BEDROCK_OUTPUT_CONFIG_EFFORT_ORDER' check is
unreachable once 'effort not in ("xhigh", "max")' has been ruled out,
since both literals are present in the order dict. Keep the literal
membership check and let the dict lookups below speak for themselves.
* fix(bedrock): clamp output_config.effort against ceiling for any known value
The early return when effort was not 'xhigh'/'max' meant a ceiling of
'low' or 'medium' would silently forward an out-of-range value. Gate on
the known effort ordering instead so the ceiling comparison runs for
every recognized effort.
* test(grid_spec): use _CAPS_OPUS_4_7 for non-Bedrock opus-4-6 entries
claude-opus-4-6 now declares supports_xhigh_reasoning_effort in the model
map, so production accepts xhigh on Azure AI and Vertex AI routes. Update
those grid_spec entries to match production capabilities so expected()
predicts 200 for xhigh instead of 400.
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* test(grid_spec): revert xhigh caps for non-Bedrock opus-4-6
azure_ai/claude-opus-4-6 and vertex_ai/claude-opus-4-6 do not declare
supports_xhigh_reasoning_effort in model_prices_and_context_window.json.
Azure AI upstream rejects xhigh with HTTP 400 ("Supported levels: high,
low, max, medium"). Restore _CAPS_4_6 so the grid predicts 400 for
xhigh, matching production capabilities.
* fix: stop advertising xhigh effort on Opus 4.5/4.6
Only Opus 4.7 supports the xhigh reasoning effort level. Remove the
supports_xhigh_reasoning_effort flag from every Opus 4.5 and Opus 4.6
entry (direct Anthropic, Bedrock, and regional variants) in both model
catalog files.
On the direct Anthropic path there is no effort clamp, so flagging 4.5/4.6
as xhigh-capable caused litellm to forward xhigh to a model that rejects it
(and made get_model_info misreport the capability). xhigh now correctly
degrades to high / raises on those models.
Bedrock graceful degradation for Claude Code goal mode is unaffected: it
relies solely on the bedrock_output_config_effort_ceiling clamp (4.5->high,
4.6->max, 4.7->xhigh), which runs before validation, so xhigh requests to
older Bedrock Opus models are still silently lowered rather than rejected.
Update effort-gating tests to reflect that 4.5/4.6 no longer accept xhigh.
* fix: clamp xhigh effort on Bedrock Invoke /v1/messages instead of rejecting
Claude Code "goal mode" sends output_config.effort=xhigh over the Anthropic
/v1/messages API, which routes Bedrock models through
AmazonAnthropicClaudeMessagesConfig. That path validated effort against the
model's native capability and raised 400 for xhigh on Opus 4.6, while the
chat-completions paths (Converse + Invoke) already clamp xhigh to the model's
bedrock_output_config_effort_ceiling. That asymmetry broke goal mode on the
exact API surface Claude Code uses.
Apply the same ceiling clamp on the messages path before the shared effort
gate runs, so xhigh degrades to max on Opus 4.6 (and stays xhigh on 4.7).
Scoped to adaptive-thinking models and to models that declare a ceiling, so
Sonnet 4.6 (no ceiling) and Opus 4.5 (budget mode) are unaffected and still
reject xhigh.
* fix(bedrock): preserve user output_config when applying reasoning_effort
- Converse path: merge mapped effort into existing output_config via
setdefault instead of overwriting it, matching the Anthropic Messages
path. Prevents user-supplied output_config.format from being silently
dropped when reasoning_effort is also provided.
- tests: clear _get_local_model_cost_map lru_cache in the autouse
fixture alongside get_bedrock_response_stream_shape to avoid stale
cache leakage between tests.
Co-authored-by: Yassin Kortam <yassin@berri.ai>
* fix(bedrock): pre-clamp reasoning_effort for chat invoke; correct test caps
- Add _clamp_adaptive_reasoning_effort_for_bedrock to AmazonAnthropicClaudeConfig
so raw reasoning_effort=xhigh degrades to the model's bedrock effort ceiling
before AnthropicConfig.map_openai_params converts it to output_config.
Mirrors converse path (_handle_reasoning_effort_parameter) and messages path
(_clamp_adaptive_reasoning_effort_for_bedrock) so the three Bedrock paths
are consistent.
- grid_spec: restore caps=_CAPS_4_6 for Bedrock converse/invoke Opus 4.6 entries
so the test reflects the model's actual JSON capabilities. Teach expected()
to bypass the xhigh/max cap check when bedrock_effort_ceiling will clamp
the wire effort, so the test still passes for Bedrock's graceful degradation
contract without lying about native model caps.
Co-authored-by: Yassin Kortam <yassin@berri.ai>
---------
Co-authored-by: Dennis Henry <dennis.henry@okta.com>
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Yassin Kortam <yassin@berri.ai>
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|---|---|---|
| .. | ||
| agent_tests | ||
| audio_tests | ||
| basic_proxy_startup_tests | ||
| batches_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| enterprise | ||
| guardrails_tests | ||
| image_gen_tests | ||
| integration | ||
| litellm | ||
| litellm-proxy-extras | ||
| litellm_core_utils | ||
| litellm_utils_tests | ||
| llm_responses_api_testing | ||
| llm_translation | ||
| load_tests | ||
| local_testing | ||
| logging_callback_tests | ||
| mcp_tests | ||
| multi_instance_e2e_tests | ||
| ocr_tests | ||
| old_proxy_tests/tests | ||
| openai_endpoints_tests | ||
| otel_tests | ||
| pass_through_tests | ||
| pass_through_unit_tests | ||
| proxy_admin_ui_tests | ||
| proxy_behavior | ||
| proxy_e2e_anthropic_messages_tests | ||
| proxy_security_tests | ||
| proxy_unit_tests | ||
| router_unit_tests | ||
| scim_tests | ||
| search_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_litellm | ||
| unified_google_tests | ||
| vector_store_tests | ||
| windows_tests | ||
| __init__.py | ||
| _flush_vcr_cache.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| eval_swe_bench.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| README.MD | ||
| test_budget_management.py | ||
| test_callbacks_on_proxy.py | ||
| test_config.py | ||
| test_debug_warning.py | ||
| test_default_encoding_non_root.py | ||
| test_end_users.py | ||
| test_entrypoint.py | ||
| test_fallbacks.py | ||
| test_gpt5_azure_temperature_support.py | ||
| test_health.py | ||
| test_keys.py | ||
| test_litellm_proxy_responses_config.py | ||
| test_logging.conf | ||
| test_models.py | ||
| test_new_vector_store_endpoints.py | ||
| test_openai_endpoints.py | ||
| test_organizations.py | ||
| test_otel_thread_leak.py | ||
| test_passthrough_endpoints.py | ||
| test_presidio_latency.py | ||
| test_proxy_server_non_root.py | ||
| test_ratelimit.py | ||
| test_resource_cleanup.py | ||
| test_service_logger_otel.py | ||
| test_spend_logs.py | ||
| test_team.py | ||
| test_team_logging.py | ||
| test_team_members.py | ||
| test_users.py | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/test_litellm
This folder can only run mock tests.