"jy-l%SSKJr SSKrSSKrSSKJr SSKJrJ r SSK J r SSK J r Jr SSKJr SSKJrJr SS KJrJr SS KJr S S KJrJr SS KJrJrJrJ r J!r! SSK$r$\\-\-\ -\!-r%S\&S'Sr'Sr("SS\\%5r)\"SS9"SS\55r*g!\"ar#\""S5\#eSr#C#ff=f)) annotationsN) dataclass) TypeAliasoverload) ModelProfile)AsyncHTTPClientcreate_async_httpx2_client) merge_profile)AnthropicModelProfileanthropic_model_profile)Providermissing_api_key_error)split_bedrock_model_id) JsonSchemaJsonSchemaTransformer)AsyncAnthropicAsyncAnthropicBedrockAsyncAnthropicBedrockMantleAsyncAnthropicFoundryAsyncAnthropicVertexuPlease install the `anthropic` package to use the Anthropic provider, you can use the `anthropic` optional group — `pip install "pydantic-ai-slim[anthropic]"`rAsyncAnthropicClient)zclaude-fable-5zclaude-mythos-5zclaude-opus-4-8z claude-opus-5c\rSrSrSr\SSj5r\SSj5r\SSj5r\ SSj5r \ SS.SS jj5r \ SSSS .SS jj5r SSSSS .SS jjr SSjr Srg)AnthropicProviderLzProvider for Anthropic API.cg)N anthropicselfs \/home/mande/repo/quber/.venv/lib/python3.13/site-packages/pydantic_ai/providers/anthropic.pynameAnthropicProvider.nameOsc@[URR5$N)str_clientbase_urlrs r!r)AnthropicProvider.base_urlSs4<<(())r$cUR$r&)r(rs r!clientAnthropicProvider.clientWs ||r$c [U5upUS:XaUn[U5n[[[S9U[UR [ 5S9UR [5(a [SS95$[55$)Nr)json_schema_transformer)supports_inline_system_prompts by_reference)tool_addition_mode)rr r r AnthropicJsonSchemaTransformer startswith$_INLINE_SYSTEM_PROMPT_MODEL_PREFIXES'_TOOL_AVAILABILITY_DELTA_MODEL_PREFIXES) model_namebedrock_providerbase_model_nameprofiles r! model_profileAnthropicProvider.model_profile[s-C:,N) { *(J)*5 !:X Y  "/9/D/DEi/j $$%LMM "^ D  '(  r$N)anthropic_clientcgr&r)r r=s r!__init__AnthropicProvider.__init__wsY\r$api_keyr) http_clientcgr&r)r rBr)rCs r!r?r@zsr$)rBr)r=rCcUbUbS5eUbS5eX0lgU=(d [R"S5nU(d [S5eUb[ XUS9Ulg[ 5nX@l[ Ul[ XUS9Ulg)aCreate a new Anthropic provider. Args: api_key: The API key to use for authentication, if not provided, the `ANTHROPIC_API_KEY` environment variable will be used if available. base_url: The base URL to use for the Anthropic API. anthropic_client: An existing Anthropic client to use. Accepts [`AsyncAnthropic`](https://github.com/anthropics/anthropic-sdk-python), [`AsyncAnthropicBedrock`](https://platform.claude.com/docs/en/build-with-claude/claude-on-amazon-bedrock-legacy), [`AsyncAnthropicBedrockMantle`](https://platform.claude.com/docs/en/build-with-claude/claude-in-amazon-bedrock), [`AsyncAnthropicFoundry`](https://platform.claude.com/docs/en/build-with-claude/claude-in-microsoft-foundry), or [`AsyncAnthropicVertex`](https://docs.anthropic.com/en/api/claude-on-vertex-ai). If provided, the `api_key` and `http_client` arguments will be ignored. http_client: An existing `httpx2.AsyncClient` to use for making HTTP requests. Nz8Cannot provide both `anthropic_client` and `http_client`z4Cannot provide both `anthropic_client` and `api_key`ANTHROPIC_API_KEYzSet the `ANTHROPIC_API_KEY` environment variable or pass it via `AnthropicProvider(api_key=...)` to use the Anthropic provider.rA)r(osgetenvrrr _own_http_client_http_client_factory)r rBr)r=rCs r!r?r@s.  '& b(b b&? Z$Z Z?+L?+>!?G+6&-g^ij 8: (3%,F)-g^ij r$cf[U[R5(deXRlgr&) isinstancehttpx2 AsyncClientr()r rCs r!_set_http_client"AnthropicProvider._set_http_clients%+v'9'9::::* r$)r(rJrI)returnr')rQr)r7r'rQzModelProfile | None)r=AsyncAnthropicClient | NonerQNone)rB str | Noner)rTrChttpx2.AsyncClient | NonerQrS) rBrTr)rTr=rRrCrUrQrS)rCrrQrS)__name__ __module__ __qualname____firstlineno____doc__propertyr"r)r, staticmethodr;rr?rO__static_attributes__rr$r!rrLs% **  6JN\\ ##15   /   ##8<15 (k(k (k 6 (k / (k (kT+r$rF)initcJ^\rSrSrSrSU4SjjrSU4SjjrSSjrSrU=r $) r3aHTransforms schemas to the subset supported by Anthropic structured outputs. Transformation is applied when: - `NativeOutput` is used as the `output_type` of the Agent - `strict=True` is set on the `Tool` The behavior of this transformer differs from the OpenAI one in that it sets `Tool.strict=False` by default when not explicitly set to True. Example: ```python from pydantic_ai import Agent agent = Agent('anthropic:claude-sonnet-4-6') @agent.tool_plain # -> defaults to strict=False def my_tool(x: str) -> dict[str, int]: ... ``` Anthropic's SDK `transform_schema()` automatically: - Adds `additionalProperties: false` to all objects (required by API) - Removes unsupported constraints (minLength, pattern, etc.) - Moves removed constraints to description field - Removes title and $schema fields c>[TU]5nURSLUlURSLaSSKJn U"U5$U$)NTr)transform_schema)superwalkstrictis_strict_compatiblerrb)r schemarb __class__s r!rd#AnthropicJsonSchemaTransformer.walks@%)KK4$7! ;;$  2#F+ +Mr$c>[TU]U5nURSLaFURS5n[ U[ 5(dUSLa[ R"S[5 U$)NTadditionalPropertiesa`dict` fields are not supported by Anthropic in strict mode (including `NativeOutput`, which is automatically selected when thinking is enabled). Anthropic's schema transformation sets `additionalProperties` to `false`, which forces the model to return `{}`. Use a `list` of `tuple[str, str]`, or a `TypedDict` or `dataclass` with explicit `key` and `value` fields, or set `output_type=PromptedOutput(...)`.) rc_handle_objectregetrLdictwarningswarn UserWarning)r rgadditional_propertiesrhs r!rl-AnthropicJsonSchemaTransformer._handle_objectsc'/ ;;$ $*JJ/E$F !/66:OSW:W @   r$cNURSS5 URSS5 U$)Ntitlez$schema)pop)r rgs r! transform(AnthropicJsonSchemaTransformer.transforms# 7D! 9d# r$)rf)rQr)rgrrQr) rVrWrXrYrZrdrlrwr] __classcell__)rhs@r!r3r3s4$"r$r3)+ __future__r _annotationsrGro dataclassesrtypingrr pydantic_airpydantic_ai._httprr pydantic_ai.profilesr pydantic_ai.profiles.anthropicr r pydantic_ai.providersr r*pydantic_ai.providers._bedrock_model_namesr _json_schemarrrrrrrr ImportError _import_errorrMr__annotations__r5r6rr3rr$r!rs2 !&$I.YAM< **-HHK``cwwi($ +' c+!56c+L A%:AAu  e  sBB3% B..B3