mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-13 23:11:40 +00:00
9f45b538d8
* Add Claude Fable 5 across Anthropic, Bedrock, Vertex AI, and Azure AI
Adds cost map entries for claude-fable-5 ($10/$50 per MTok, 1M context,
128K output, adaptive thinking only) on the Anthropic API, Bedrock
converse (base, global, and us/eu geo inference profiles at the 10%
regional premium), Vertex AI, and Azure AI (Microsoft Foundry, which
serves Fable 5 with the full 1M context window unlike Opus 4.8).
Registers anthropic.claude-fable-5 in BEDROCK_CONVERSE_MODELS, lists the
model in the setup wizard, and extends the reasoning effort e2e grid.
The Bedrock, Vertex, and Azure grid cells carry fail_reason markers
until the CI accounts are provisioned: Bedrock needs the provider data
sharing opt-in Fable 5 requires, and the Foundry resource needs a
claude-fable-5 deployment.
The first-party entry carries provider_specific_entry {us: 1.1} for the
inference_geo premium and deliberately no fast multiplier since Fable 5
has no fast mode.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Drop removed sampling params for Claude 4.7+ when drop_params is set
Fable 5, Opus 4.7, and Opus 4.8 removed sampling params: the API rejects
top_p, top_k, and any temperature other than 1 with a 400. LiteLLM was
forwarding them even with drop_params enabled because the Anthropic and
Bedrock converse transformations passed temperature/top_p through
unconditionally.
Mirror the GPT-5/o-series handling: temperature=1 still passes through,
other values and any top_p are dropped when drop_params is set, and
without drop_params a clean client-side UnsupportedParamsError tells the
caller how to opt in, instead of surfacing the raw provider error.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Drive sampling param gating from the cost map and cover top_k
Greptile review follow-ups on the sampling param fix: the restriction for
Fable 5 / Opus 4.7 / 4.8 is now declared as supports_sampling_params: false
on every affected cost map entry (perplexity excluded; that route is
OpenAI-compatible and maps sampling params upstream) and read back through
a tri-state map lookup, keeping the name check only as a fallback for
provider-routed ids whose hosted map entries predate the flag, the same
layering supports_adaptive_thinking uses. top_k bypasses map_openai_params
as a provider-specific kwarg, so it is gated at the shared
AnthropicConfig.transform_request boundary (direct, Bedrock invoke, Vertex,
Azure) and in the Bedrock converse _handle_top_k_value path, with
drop_params threaded through the converse transform helpers.
Also updates the reasoning effort grid cell count assertion for the four
Fable 5 rows added on this branch (29 x 11 cells).
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* Declare supports_sampling_params in the cost map schema
The model map validation schema uses additionalProperties: false, so the
new flag must be declared for the 28 entries that carry it; this was the
one failing job (misc / Run tests) on the previous commit.
https://claude.ai/code/session_01MZarYYT3aS7DxaNjoax6Gm
* fix(bedrock): gate top_k=0 on converse to match Anthropic boundary
Truthiness check let top_k=0 silently disappear on models that removed
sampling params, while AnthropicConfig.transform_request treats 0 as
present and raises UnsupportedParamsError (or drops when drop_params is
set). Switch to 'is not None' so converse, direct Anthropic, invoke,
Vertex, and Azure all behave the same for top_k=0.
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
|
||
|---|---|---|
| .. | ||
| amazon_nova/chat | ||
| anthropic | ||
| azure | ||
| azure_ai | ||
| base_llm | ||
| baseten/chat | ||
| bedrock | ||
| bedrock_mantle | ||
| black_forest_labs | ||
| bytez/chat | ||
| chat | ||
| chatgpt | ||
| cloudflare | ||
| cohere | ||
| cometapi/chat | ||
| compactifai | ||
| crusoe | ||
| custom_httpx | ||
| dashscope | ||
| databricks | ||
| datarobot | ||
| deepgram | ||
| deepinfra | ||
| docker_model_runner | ||
| elevenlabs | ||
| featherless_ai/chat | ||
| fireworks_ai | ||
| gemini | ||
| github_copilot | ||
| heroku | ||
| hosted_vllm | ||
| huggingface | ||
| jina_ai/embedding | ||
| lemonade | ||
| litellm_proxy | ||
| llamafile/chat | ||
| lm_studio | ||
| manus | ||
| meta_llama | ||
| minimax | ||
| mistral | ||
| moonshot | ||
| nebius | ||
| novita/chat | ||
| nscale/chat | ||
| nvidia_riva | ||
| oci | ||
| ocr | ||
| ollama | ||
| openai | ||
| openai_like | ||
| openrouter | ||
| ovhcloud | ||
| perplexity | ||
| pg_vector/vector_stores | ||
| publicai | ||
| ragflow/chat | ||
| recraft | ||
| runwayml | ||
| s3_vectors | ||
| sagemaker | ||
| sambanova | ||
| sap | ||
| scaleway | ||
| snowflake | ||
| stability | ||
| vercel_ai_gateway | ||
| vertex_ai | ||
| volcengine | ||
| voyage/rerank | ||
| wandb | ||
| watsonx | ||
| xai | ||
| zai | ||
| test_cache_control_and_reasoning.py | ||
| test_file_search_responses.py | ||
| test_lifecycle_fix.py | ||
| test_oom_fixes.py | ||
| test_polling_url_origin_match.py | ||
| test_predibase_transformation.py | ||