* fix(runtime): update model pricing table to current rates
Align pricing_for_model with the published Anthropic pricing table:
- default_sonnet_tier was $15/$75 (the old Opus rate); it is now the
Sonnet 4.x rate of $3/$15, which is what the `sonnet` alias resolves to.
- Add Sonnet 5 / 5.5, Haiku 5.5, Haiku 3.5, and Fable / Mythos rates.
- Opus 4.5+ is $5/$25 and Opus 5.5 is $4/$20; Opus 4/4.1 keep the $15/$75
tier they are still billed at on Bedrock and Google Cloud.
Versions are parsed from the model id so dated, provider-prefixed, and
Vertex-style ids resolve to the right tier. Haiku 5.5's >100K-token tier
is not modeled because usage is aggregated across requests.
* fix(runtime): add DeepSeek API pricing
DeepSeek models fell back to default_sonnet_tier ($3/$15 per MTok),
overestimating V4 Flash by about 10x on input and 12x on output.
Price the ids served by the DeepSeek API at peak rates: deepseek-v4-pro
at $1.32/$3.96, and deepseek-flash, deepseek-v4-flash and the retired
deepseek-chat / deepseek-reasoner aliases at $0.30/$1.20. Off-peak usage
is billed at half. Other DeepSeek models on third-party hosts keep the
default because their prices vary by host.
- Update client_integration.rs user-agent assertion to expect version 0.1.5
- Fix output_format_contract.rs /sandbox status expectation from 'warn' to 'ok'
`ApiError` is the `Err` half of nearly every `Result` in the api crate, and
its `Api` variant carried ~139 bytes inline (8 fields, four of them
`Option<String>`). That tripped clippy::result_large_err on 35 signatures
and, with -D warnings, made the whole crate unbuildable under the repo's
own documented verification command.
Move the payload into `ApiErrorDetails` behind a `Box`:
- `ApiError::Api(Box<ApiErrorDetails>)`, with `ApiError::api(..)` to
construct and `api_details()` to borrow
- `ApiErrorDetails` re-exported from the crate root
- adding a field here can no longer re-inflate every signature
This also simplifies `enrich_bearer_auth_error`, which previously
destructured and rebuilt all eight fields at five separate return points
just to append a hint; it now mutates the boxed payload in place.
Also clears the remaining pre-existing lints that blocked -D warnings:
unused test bindings, a redundant `use serde_json`, and an explicit
`.into_iter()` in claw-rag-service.
Verified: cargo test --workspace passes, 0 failures.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Q9McEEH32ZtyM62GSXVSyJ
(cherry picked from commit e9210bd75eb76e5d88b2ae797f537102bcabd41d)
Keep the mock HTTP/SSE/proxy coverage deterministic under strict linting while preserving provider request behavior.\n\nConstraint: Task 4 scope is limited to OpenAI-compatible HTTP/SSE/proxy coverage and provider compatibility surfaces.\nRejected: Environment-variable proxy testing | It races with parallel integration tests and can route unrelated localhost mocks through a single proxy fixture.\nConfidence: high\nScope-risk: narrow\nDirective: Prefer explicit injected reqwest clients for proxy integration tests instead of mutating process proxy environment.\nTested: cargo fmt --check; cargo check -p api; cargo test -p api --test openai_compat_integration -- --nocapture; cargo test -p api\nNot-tested: cargo clippy --no-deps -p api --all-targets -- -D warnings fails on pre-existing anthropic.rs/providers/mod.rs lints outside task scope.\n\nCo-authored-by: OmX <omx@local>
Five interrelated fixes from parallel Hephaestus sessions:
1. fix(repl): display assistant text after spinner (#2981, #2982, #2937)
- Added final_assistant_text() call after run_turn spinner completes
- REPL now shows response text like run_prompt_json does
2. fix(compact): handle Thinking content blocks (#2985)
- Added ContentBlock::Thinking variant throughout compact summarizer
- Prevents panic when /compact encounters thinking blocks
3. fix(prompt): provider-aware model identity (#2822)
- New ModelFamilyIdentity enum (Claude vs Generic)
- Non-Anthropic models no longer say 'I am Claude'
- model_family_identity_for() detects provider and sets identity
4. fix(openai): preserve DeepSeek reasoning_content (#2821)
- Stream parser now captures reasoning_content from OpenAI-compat
- Emits ThinkingDelta/SignatureDelta events for reasoning models
- Thinking blocks included in conversation history for re-send
5. feat(runtime): Thinking block support across codebase
- AssistantEvent::Thinking variant in conversation.rs
- ContentBlock::Thinking in session serialization
- Thinking-aware compact summarization
- Tests for thinking block ordering and content
Closes#2981, #2982, #2937, #2985, #2822, #2821
Two live users in #claw-code on 2026-04-08 hit adjacent auth confusion:
varleg set OPENAI_API_KEY for OpenRouter but prefix routing didn't
activate without openai/ model prefix, and stanley078852 put sk-ant-*
in ANTHROPIC_AUTH_TOKEN (Bearer path) instead of ANTHROPIC_API_KEY
(x-api-key path) and got 401 Invalid bearer token.
Changes:
1. ApiError::MissingCredentials gained optional hint field (error.rs)
2. anthropic_missing_credentials_hint() sniffs OPENAI/XAI/DASHSCOPE
env vars and suggests prefix routing when present (providers/mod.rs)
3. All 4 Anthropic auth paths wire the hint helper (anthropic.rs)
4. 401 + sk-ant-* in bearer token detected and hint appended
5. 'Which env var goes where' section added to USAGE.md
Tests: unit tests for all three improvements (no HTTP calls needed).
Workspace: all tests green, fmt clean, clippy warnings-only.
Source: live users varleg + stanley078852 in #claw-code 2026-04-08.
Co-authored-by: gaebal-gajae <gaebal-gajae@layofflabs.com>
openai_compat_integration.rs and client_integration.rs had MessageRequest
constructions without the new tuning param fields (temperature, top_p,
frequency_penalty, presence_penalty, stop) added in c667d47.
Added ..Default::default() to all 4 sites. cargo fmt applied.
This was the root cause of CI red on main (E0063 compile error in
integration tests, not caught by --lib tests).
Sterling reported 'json_error: no field input/input_tokens' still firing
despite existing serde(default) in types.rs. Root cause: SSE streaming
path had a separate deserialization site that didn't use the same defaults.
- Add serde(default) to sse.rs UsageEvent deserialization
- Add serde(default) to types.rs Usage struct fields (input_tokens, output_tokens)
- Add regression test with empty-usage JSON response in streaming context
The runtime already tracked rough token estimates for compaction, but provider-bound
requests still relied on naive model output limits and could be sent upstream even
when the selected model could not fit the estimated prompt plus requested output.
This adds a small model token/context registry in the API layer, estimates request
size from the serialized prompt payload, and fails locally with a dedicated
context-window error before Anthropic or xAI calls are made. Focused integration
coverage asserts the preflight fires before any HTTP request leaves the process.
Constraint: Keep the first pass minimal and reusable across both Anthropic and OpenAI-compatible providers
Rejected: Auto-compact-and-retry in the same patch | broader control-flow change than the requested minimal preflight
Confidence: medium
Scope-risk: narrow
Reversibility: clean
Directive: Expand the model registry before enabling preflight for additional providers or aliases
Tested: cargo build -p api -p tools -p rusty-claude-cli; cargo test -p api
Not-tested: End-to-end CLI auto-compaction or retry behavior after a local context_window_blocked failure
OpenAI chat-completions streams can emit a final usage chunk when the\nclient opts in, but the Rust transport was not requesting it. This\nkeeps provider config on the client and adds stream_options.include_usage\nonly for OpenAI streams so normalized message_delta usage reflects the\ntransport without changing xAI request bodies.\n\nConstraint: Keep xAI request bodies unchanged because provider-specific streaming knobs may differ\nRejected: Enable stream_options for every OpenAI-compatible provider | risks sending unsupported params to xAI-style endpoints\nConfidence: high\nScope-risk: narrow\nDirective: Keep provider-specific streaming flags tied to OpenAiCompatConfig instead of inferring provider behavior from URLs\nTested: cargo clippy -p api --tests -- -D warnings\nTested: cargo test -p api openai_streaming_requests -- --nocapture\nTested: cargo test -p api xai_streaming_requests_skip_openai_specific_usage_opt_in -- --nocapture\nTested: cargo test -p api request_translation_uses_openai_compatible_shape -- --nocapture\nTested: cargo test -p api stream_message_normalizes_text_and_multiple_tool_calls -- --exact --nocapture\nNot-tested: Live OpenAI or xAI network calls
Claw already had the core slash-command and git primitives, but the UX
still made users work to discover them, understand current workspace
state, and trust what `/commit` was about to do. This change tightens
that flow in the same places Codex-style CLIs do: command discovery,
live status, typo recovery, and commit preflight/output.
The REPL banner and `/help` now surface a clearer starter path, unknown
slash commands suggest likely matches, `/status` includes actionable git
state, and `/commit` explains what it is staging and committing before
and after the model writes the Lore message. I also cleared the
workspace's existing clippy blockers so the verification lane can stay
fully green.
Constraint: Improve UX inside the existing Rust CLI surfaces without adding new dependencies
Rejected: Add more slash commands first | discoverability and feedback were the bigger friction points
Rejected: Split verification lint fixes into a second commit | user requested one solid commit
Confidence: high
Scope-risk: moderate
Directive: Keep slash discoverability, status reporting, and commit reporting aligned so `/help`, `/status`, and `/commit` tell the same workflow story
Tested: cargo fmt --all; cargo clippy --workspace --all-targets -- -D warnings; cargo test --workspace
Not-tested: Manual interactive REPL session against live Anthropic/xAI endpoints
Extended thinking needed to travel end-to-end through the API,
runtime, and CLI so the client can request a thinking budget,
preserve streamed reasoning blocks, and present them in a
collapsed text-first form. The implementation keeps thinking
strictly opt-in, adds a session-local toggle, and reuses the
existing flag/slash-command/reporting surfaces instead of
introducing a new UI layer.
Constraint: Existing non-thinking text/tool flows had to remain backward compatible by default
Constraint: Terminal UX needed a lightweight collapsed representation rather than an interactive TUI widget
Rejected: Heuristic CLI-only parsing of reasoning text | brittle against structured stream payloads
Rejected: Expanded raw thinking output by default | too noisy for normal assistant responses
Confidence: medium
Scope-risk: moderate
Reversibility: clean
Directive: Keep thinking blocks structurally separate from answer text unless the upstream API contract changes
Tested: cargo fmt --all; cargo clippy --workspace --all-targets -- -D warnings; cargo test -q
Not-tested: Live upstream thinking payloads against the production API contract
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