keel-llm-adapter-anthropic
A reference
keel-llm-protocoladapter for Anthropic's Messages API (Claude).
This package is the divergent-provider grounding for the protocol standard. Where keel-llm-adapter-openai proves the standard against the OpenAI-compatible family, this proves it against an API that diverges on purpose — and the protocol absorbs every difference in the adapter, without changing the standard. That is the standard generalizing.
Is this for you?
Adopt when — you're consuming via keel-llm-protocol / keel-llm-reliability and want Claude calls mapped to the typed taxonomy (with Anthropic's divergences absorbed at the adapter layer).
Skip when — you're calling Anthropic directly in a simple app — the official anthropic SDK has a wider surface (batches, files, prompt caching…); this adapter covers chat / streaming / tools.
Install
pip install keel-llm-adapter-anthropic # pulls in keel-llm-protocol + httpx
Use
from keel_llm_adapter_anthropic import AnthropicAdapter
from keel_llm_protocol import system, user
adapter = AnthropicAdapter(model="claude-sonnet-4-5", api_key="...", provider="anthropic")
resp = await adapter.generate([system("Be terse."), user("What is a circuit breaker?")])
print(resp.text, resp.usage.total_tokens, resp.finish_reason)
Same keel-llm-protocol types as every other adapter — swap AnthropicAdapter for OpenAIAdapter and your code is unchanged. It implements ModelAdapter, StreamingModelAdapter, and ToolCallingModelAdapter.
How Anthropic diverges — and where it's handled
Every divergence below is absorbed inside the adapter; the protocol's types are untouched:
| Anthropic divergence | Protocol stays the same because… |
|---|---|
System prompt is a top-level system field, not a message |
the adapter lifts Message(role="system") into the system param |
Only user / assistant roles exist |
tool messages → tool_result content blocks; assistant tool_calls → tool_use blocks |
Tool input arrives as a parsed dict |
the adapter json.dumps it into ToolCall.arguments (a JSON string) |
Tools use input_schema + tool_choice: {type: auto|any|tool} |
the adapter maps ToolSpec / tool_choice accordingly |
max_tokens is required |
the adapter supplies default_max_tokens (4096) when unset |
Distinct SSE events (message_start / content_block_delta / message_delta) |
the adapter maps them onto StreamChunk |
529 overloaded status |
mapped to retryable TransientError |
{"type":"error","error":{...}} envelope + stop_reason values |
mapped to the standard error taxonomy + FinishReason |
Known limitation
Anthropic has no native response_format parameter — structured output is done via tools or prompt instructions. This adapter therefore treats ResponseFormat as a best-effort hint and does not enforce it. (A finding worth keeping: in the standard, response_format is a request, not a guarantee — provider support varies.)
Status
0.1.2 — 0.x while the API stabilizes through year one (breaking changes possible at minor bumps, documented in the CHANGELOG; pin exact versions).
The Keel toolkit
Composable, vendor-neutral LLM reliability libraries on PyPI:
keel-llm-reliability · keel-llm-protocol · keel-llm-adapter-openai · keel-llm-adapter-anthropic · keel-llm-adapter-google · keel-circuit-breaker
MIT licensed.
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