uvos/vibe
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

v2.13.0 (#733)

Browse source 
Co-authored-by: Maxime Dolores <maxime.dolores@ext.mistral.ai>
Co-authored-by: Michel Thomazo <51709227+michelTho@users.noreply.github.com>
Co-authored-by: Peter Evers <peter.evers@mistral.ai>
Co-authored-by: Pierre Rossinès <pierre.rossines@mistral.ai>
Co-authored-by: Quentin <quentin.torroba@mistral.ai>
Co-authored-by: Val <102326092+vdeva@users.noreply.github.com>
Co-authored-by: Vincent G <10739306+VinceOPS@users.noreply.github.com>
Co-authored-by: Mistral Vibe <vibe@mistral.ai>
This commit is contained in:
Clément Drouin 2026-05-29 16:17:54 +02:00 • committed by GitHub
parent 198277af3f
commit ad0d5c9520
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
61 changed files with 969 additions and 461 deletions
Download patch file Download diff file Expand all files Collapse all files

65
vibe/core/llm/backend/anthropic.py
View file

@ -324,12 +324,6 @@ class AnthropicAdapter(APIAdapter):
"prompt-caching-2024-07-31,"
"context-1m-2025-08-07"
)
THINKING_BUDGETS: ClassVar[dict[str, int]] = {
"low": 1024,
"medium": 10_000,
"high": 32_000,
"max": 128_000,
}
DEFAULT_ADAPTIVE_MAX_TOKENS: ClassVar[int] = 32_768
DEFAULT_MAX_TOKENS = 8192
@ -375,66 +369,32 @@ class AnthropicAdapter(APIAdapter):
if last_block.get("type") in {"text", "image", "tool_result"}:
last_block["cache_control"] = {"type": "ephemeral"}
# Anthropic models that require the `thinking={"type":"adaptive"}` +
# `output_config.effort` shape and reject the older
# `thinking={"type":"enabled","budget_tokens":...}` shape. Add new
# adaptive-only model families here as Anthropic ships them.
ADAPTIVE_MODEL_TAGS: ClassVar[frozenset[str]] = frozenset({"opus-4-6", "opus-4-7"})
# Anthropic models that have deprecated the `temperature` parameter and
# reject any payload containing it. Add new families here as Anthropic
# ships them.
TEMPERATURE_DEPRECATED_MODEL_TAGS: ClassVar[frozenset[str]] = frozenset({
"opus-4-7"
})
@classmethod
def _is_adaptive_model(cls, model_name: str) -> bool:
return any(tag in model_name for tag in cls.ADAPTIVE_MODEL_TAGS)
@classmethod
def _is_temperature_deprecated_model(cls, model_name: str) -> bool:
return any(tag in model_name for tag in cls.TEMPERATURE_DEPRECATED_MODEL_TAGS)
def _apply_thinking_config(
self,
payload: dict[str, Any],
*,
model_name: str,
messages: list[dict[str, Any]],
temperature: float,
max_tokens: int | None,
thinking: str,
) -> None:
has_thinking = self._has_thinking_content(messages)
thinking_level = thinking
temperature_deprecated = self._is_temperature_deprecated_model(model_name)
if thinking_level == "off" and not has_thinking:
if not temperature_deprecated:
payload["temperature"] = temperature
if max_tokens is not None:
payload["max_tokens"] = max_tokens
else:
payload["max_tokens"] = self.DEFAULT_MAX_TOKENS
payload["max_tokens"] = (
max_tokens if max_tokens is not None else self.DEFAULT_MAX_TOKENS
)
return
# Resolve effective level: use config, or fallback to "medium" when
# forced by thinking content in history
effective_level = thinking_level if thinking_level != "off" else "medium"
if self._is_adaptive_model(model_name):
payload["thinking"] = {"type": "adaptive", "display": "summarized"}
payload["output_config"] = {"effort": effective_level}
default_max = self.DEFAULT_ADAPTIVE_MAX_TOKENS
else:
budget = self.THINKING_BUDGETS[effective_level]
payload["thinking"] = {"type": "enabled", "budget_tokens": budget}
default_max = budget + self.DEFAULT_MAX_TOKENS
if not temperature_deprecated:
payload["temperature"] = 1
payload["max_tokens"] = max_tokens if max_tokens is not None else default_max
payload["thinking"] = {"type": "adaptive", "display": "summarized"}
payload["output_config"] = {"effort": effective_level}
payload["max_tokens"] = (
max_tokens if max_tokens is not None else self.DEFAULT_ADAPTIVE_MAX_TOKENS
)
def _build_payload(
self,
@ -442,7 +402,6 @@ class AnthropicAdapter(APIAdapter):
model_name: str,
system_prompt: str | None,
messages: list[dict[str, Any]],
temperature: float,
tools: list[dict[str, Any]] | None,
max_tokens: int | None,
tool_choice: dict[str, Any] | None,
@ -452,12 +411,7 @@ class AnthropicAdapter(APIAdapter):
payload: dict[str, Any] = {"model": model_name, "messages": messages}
self._apply_thinking_config(
payload,
model_name=model_name,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
thinking=thinking,
payload, messages=messages, max_tokens=max_tokens, thinking=thinking
)
if system_blocks := self._build_system_blocks(system_prompt):
@ -498,7 +452,6 @@ class AnthropicAdapter(APIAdapter):
model_name=model_name,
system_prompt=system_prompt,
messages=converted_messages,
temperature=temperature,
tools=converted_tools,
max_tokens=max_tokens,
tool_choice=converted_tool_choice,