Add Anthropic prompt cache controls - #5
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Co-authored-by: Medulla <medulla@tinyhumans.ai>
Co-authored-by: Medulla <medulla@tinyhumans.ai>
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📝 WalkthroughWalkthroughThis change adds an Anthropic Messages API provider to TinyInference. It supports environment-based configuration, prompt-prefix caching, authenticated requests, response parsing, cache usage mapping, and default module compilation. ChangesAnthropic provider
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟠 High · up to This change adds Anthropic prompt caching, but the current implementation can expose API keys in debug output, make default requests fail because it uses a model retired on June 15, 2026, and prevent caching for user-only prompts. These concrete security, availability, and correctness issues should be fixed before merging. Sequence Diagram(s)sequenceDiagram
participant ChatModel
participant AnthropicModel
participant AnthropicMessagesAPI
ChatModel->>AnthropicModel: invoke ModelRequest
AnthropicModel->>AnthropicMessagesAPI: POST /messages with request body and headers
AnthropicMessagesAPI-->>AnthropicModel: JSON response or error
AnthropicModel-->>ChatModel: ModelResponse or Error::Model
Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 2📝 Generate docstrings 💡
🛠️ Fix failing CI checks 💡
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Requesting changes: 2 lane(s) blocking, worst finding is high.
Fix or reply to the findings below and push. The next review clears this automatically once they are gone — you should not need to dismiss anything by hand.
$0.0062 · 72,104 in / 1,403 out · 0 cached (0%) · openrouter/openai/text-embedding-3-small, deepseek/deepseek-v4-flash · 360 embedded
critique: $0.0024 · 28,060 in / 591 out · 0 cached (0%) · deepseek/deepseek-v4-flash
security: $0.0021 · 24,382 in / 500 out · 0 cached (0%) · deepseek/deepseek-v4-flash
tests: $0.0012 · 13,815 in / 94 out · 0 cached (0%) · deepseek/deepseek-v4-flash
description: $0.0005 · 5,847 in / 218 out · 0 cached (0%) · deepseek/deepseek-v4-flash
How this change flows0 changed behaviours across 14 relationships. 6 surrounding behaviours are shown (60 graph nodes walked). 35 further behaviours left out to keep the diagram readable. flowchart LR
n0["new"]:::impacted
n1["request_body"]:::impacted
n2["request_body_forwards_generation_controls"]:::impacted
n3["...fix_becomes_an_anthropic_cache_breakpoint"]:::impacted
n4["...prefix_becomes_a_content_block_breakpoint"]:::impacted
n5["parse_response"]:::impacted
n1 -->|calls| n0
n2 -->|calls| n0
n2 -->|tests| n0
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n2 -->|tests| n1
n3 -->|calls| n0
n3 -->|tests| n0
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n3 -->|tests| n1
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n4 -->|tests| n0
n4 -->|calls| n1
n4 -->|tests| n1
n5 -->|calls| n0
classDef changed fill:#0d4429,stroke:#238636,color:#e6edf3
classDef impacted fill:#161b22,stroke:#6e7681,color:#c9d1d9
classDef flagged fill:#5a1e02,stroke:#d93f0b,color:#ffffff
classDef blocking fill:#67060c,stroke:#f85149,color:#ffffff
Green: changed behaviour. Grey: surrounding behaviour. Arrows name the call, use, implementation, or test relationship. Orange: has findings. Red: has a finding that blocks the merge. |
Co-authored-by: Medulla <medulla@tinyhumans.ai>
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The previously-blocking findings are resolved. Clearing the changes request.
$0.0040 · 48,052 in / 484 out · 0 cached (0%) · openrouter/openai/text-embedding-3-small, deepseek/deepseek-v4-flash · 375 embedded
critique: $0.0011 · 13,742 in / 94 out · 0 cached (0%) · deepseek/deepseek-v4-flash
security: $0.0012 · 13,721 in / 121 out · 0 cached (0%) · deepseek/deepseek-v4-flash
tests: $0.0012 · 14,187 in / 147 out · 0 cached (0%) · deepseek/deepseek-v4-flash
description: $0.0005 · 6,402 in / 122 out · 0 cached (0%) · deepseek/deepseek-v4-flash
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Actionable comments posted: 3
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Inline comments:
In `@crates/tinyinference/src/providers/anthropic.rs`:
- Line 21: Replace the derived Debug implementation for the affected Anthropic
provider type with a manual implementation that redacts the api_key field as
"[REDACTED]" while preserving debug output for the remaining fields.
- Line 17: Update the DEFAULT_MODEL constant used by AnthropicModel::new() and
from_env() to a currently supported Anthropic model, such as claude-sonnet-4-6,
while preserving explicit model overrides.
- Line 113: Update the no-system-message caching path in the request-body
construction to serialize the user message content as a content block and attach
cache_control to that block, rather than to the message envelope. Add a
regression test covering caching for a user-only request and verify the
generated Anthropic payload places the breakpoint on the content block.
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crates/tinyinference/src/providers/anthropic.rscrates/tinyinference/src/providers/mod.rs
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Co-authored-by: Medulla <medulla@tinyhumans.ai>
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Requesting changes: 1 lane(s) blocking, worst finding is critical.
Fix or reply to the findings below and push. The next review clears this automatically once they are gone — you should not need to dismiss anything by hand.
$0.0047 · 54,107 in / 1,649 out · 0 cached (0%) · openrouter/openai/text-embedding-3-small, deepseek/deepseek-v4-flash · 396 embedded
critique: $0.0018 · 18,887 in / 1,369 out · 0 cached (0%) · deepseek/deepseek-v4-flash
security: $0.0012 · 14,011 in / 72 out · 0 cached (0%) · deepseek/deepseek-v4-flash
tests: $0.0012 · 14,477 in / 96 out · 0 cached (0%) · deepseek/deepseek-v4-flash
description: $0.0006 · 6,732 in / 112 out · 0 cached (0%) · deepseek/deepseek-v4-flash
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Co-authored-by: Medulla <medulla@tinyhumans.ai>
Co-authored-by: Medulla <medulla@tinyhumans.ai>
Co-authored-by: Medulla <medulla@tinyhumans.ai>
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| return Err(Error::Model(format!( | ||
| "anthropic returned HTTP {status}: {}", | ||
| body["error"]["message"].as_str().unwrap_or("unknown error") | ||
| ))); |
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When Anthropic returns a routine 429 or transient 5xx response, this collapses the failure into Error::Model, discarding the status, provider error type, retryability, and Retry-After metadata that consuming runtimes use for retry decisions; the preceding unconditional JSON decode also loses the HTTP status entirely for non-JSON error bodies. Decode non-success responses into ProviderError and return Error::Provider, as the existing normalized failure contract requires.
AGENTS.md reference: AGENTS.md:L38-L40
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The previously-blocking findings are resolved. Clearing the changes request.
$0.0370 · 53,467 in / 23,717 out · 18,191 cached (34%) · openrouter/openai/text-embedding-3-small, deepseek/deepseek-v4-flash, z-ai/glm-5.2 · 484 embedded
critique: $0.0013 · 15,108 in / 194 out · 0 cached (0%) · deepseek/deepseek-v4-flash
security: $0.0013 · 15,087 in / 81 out · 0 cached (0%) · deepseek/deepseek-v4-flash
tests: $0.0216 · 15,230 in / 14,494 out · 11,360 cached (75%) · z-ai/glm-5.2
description: $0.0129 · 8,042 in / 8,948 out · 6,831 cached (85%) · z-ai/glm-5.2
| ..Usage::default() | ||
| } | ||
| }); | ||
| Ok(ModelResponse { |
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Parse tool_use blocks from Anthropic responses
parse_response only collects type: "text" blocks from the response content array and hardcodes tool_calls: Vec::new(). When the model returns a tool_use block, it is silently dropped — the caller receives an empty tool-call list and only the text content, so tool-calling loops cannot function with this provider. The OpenAI adapter fully parses tool calls from responses; this adapter should parse tool_use blocks (mapping id, name, and input) into ToolCalls and include them in the response. A test exercising a response containing a tool_use block should verify the calls are preserved.
[RULE] dropped-tool-calls ·
| "type": "tool_use", | ||
| "id": call.id, | ||
| "name": call.name, | ||
| "input": call.arguments, |
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Serialize tool-call arguments as a JSON object for Anthropic
Anthropic's Messages API expects input to be a JSON object, but json!({ "input": call.arguments }) serializes whatever type ToolCall::arguments is. The OpenAI wire format stores arguments as a JSON-encoded string, and tool_call_from_wire in the OpenAI adapter takes &str, which strongly suggests ToolCall::arguments is a String. If so, this line sends "input": "{\"key\": \"val\"}" — a JSON string where Anthropic expects "input": {"key": "val"} — causing a 400 error on any multi-turn conversation that includes assistant tool calls. If arguments is already a serde_json::Value, this is fine; if it is a String, it must be parsed before serialization.
[RULE] wrong-argument-type-for-wire ·
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Summary
cache_controlbreakpoints from cacheable prompt segmentsValidation
cargo fmt --all -- --checkcargo clippy -p tinyinference --all-targets --all-features -- -D warningscargo test -p tinyinference --all-featuresDependent TinyAgents PR adds the live DeepSeek V4 Flash cache-hit check.
Summary by CodeRabbit