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aec055a1d1ffb03d8d7bbb779527711c34b829da
13 Commits
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aec055a1d1 |
fix(proxy): drop empty pages from Read tool input (#2472)
* fix(proxy): drop empty pages from Read tool input * fix(proxy): preserve Read args across duplicate tool starts |
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35bce24633 |
fix(proxy): strip leading billing header from system content (#2350)
Claude Code injects a dynamic `x-anthropic-billing-header` line at the start of `system` content. Its rotating `cch=` token was forwarded into OpenAI Responses `instructions` and Chat system messages, which broke upstream prefix prompt cache reuse — a stable ~95k-token prefix was getting re-charged on every request. Strip only the leading occurrence in both anthropic_to_openai and anthropic_to_responses; later occurrences are preserved so user-authored prompt text containing the same string is not lost. |
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693c36a12a |
fix(dashscope): enhance usage parsing robustness to prevent VSCode cr… (#2425)
* fix(dashscope): enhance usage parsing robustness to prevent VSCode crashes Enhanced build_anthropic_usage_from_responses() to handle null, missing, empty, and partial usage fields gracefully. This prevents VSCode Extension crashes with "Cannot read properties of null (reading 'output_tokens')" when connecting to DashScope (Alibaba Cloud Bailian) models. Changes: - Added defensive null checks and empty object detection - Implemented OpenAI field name fallbacks (prompt_tokens/completion_tokens) - Added comprehensive logging for malformed usage scenarios - Fixed streaming SSE event handlers with null-safe usage access - Preserved cache token fields even when input/output tokens are missing This ensures the proxy never crashes on malformed Responses API usage objects, returning valid Anthropic-compatible usage structures (input_tokens/output_tokens) in all cases. * fix(proxy): tighten Responses API usage fix per review - Drop redundant fallback in streaming.rs Chat Completions path; the existing if-let-Some guard already prevents usage:null, so the extra layer was dead code and caused a fmt-breaking indentation issue. - Demote partial-usage warn to debug. Streaming chunks legitimately arrive with partial token counts and the warn-level log was noisy. - Rewrite CHANGELOG entry: reference #2422, broaden scope from DashScope-only to all api_format=openai_responses users (Codex OAuth is the strongest signal; DashScope compatible-mode/v1/responses is the original report). - cargo fmt to clear 12 formatting differences vs main. --------- Co-authored-by: Jason <farion1231@gmail.com> |
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dc04165f18 |
feat(tray): show cached provider usage in the system tray menu (#2184)
* feat: add Rust-side write-through usage cache Introduce an in-memory UsageCache on AppState that the existing usage query commands populate on success. The cache is read-only to the rest of the app today; the next commit consumes it from the tray menu. - New services::usage_cache module with split maps: subscription keyed by AppType, script keyed by (AppType, provider_id). - AppType gains Eq + Hash so it can be used as a HashMap key. - commands::subscription::get_subscription_quota now takes State<AppState> and writes through on success (signature change is invisible to the frontend — Tauri injects State automatically). - commands::provider::queryProviderUsage body extracted into an inner async fn; the public command wraps it with write-through, covering Copilot, coding-plan, balance, and generic script paths uniformly. Cache is in-memory only; auto-query interval and the upcoming tray refresh action rebuild it after restarts. * feat(tray): surface cached usage in the system tray menu Read UsageCache populated by the previous commit and render it in three places, scoped to whatever TRAY_SECTIONS covers (Claude/Codex/Gemini): 1. Inline suffix on each provider submenu item "AnyProvider · 🟢 5h 18% / 7d 23%" 2. Disabled summary row per visible app under "Show Main" "Claude · Anthropic Official · 🟢 5h 18% / 7d 23%" 3. "Refresh all usage" menu item that triggers get_subscription_quota + queryProviderUsage for every applicable provider, then rebuilds the tray menu via the existing refresh_tray_menu path. Color encoding uses emoji (🟢 <70% / 🟠 70-89% / 🔴 ≥90%) since Tauri 2 tray labels are plain text. Missing cache entry leaves the label unchanged — tray never issues network requests when opened. Three new i18n-ready strings live in TrayTexts (en/zh/ja), following the existing pattern for tray text. Closes #2178. * feat(usage): bridge tray UsageCache writes to frontend React Query Why: tray hover triggers backend-only refresh that wrote to UsageCache but never notified the frontend, leaving main UI stale while tray showed fresh numbers. Emit a payload-carrying event after each cache write so React Query can setQueryData directly, keeping both views in sync without duplicate fetches. * fix(tray): skip hidden apps on hover refresh and drop stale disabled-script cache Address P2 findings from automated review on #2184: 1. refresh_all_usage_in_tray now filters TRAY_SECTIONS by settings.visible_apps before scheduling subscription/script queries, matching create_tray_menu and preventing wasted external API calls (and rate-limit/auth-error log noise) for apps the user has hidden. 2. format_usage_suffix only trusts the script cache when provider.meta.usage_script is still enabled; when a script is disabled/removed the cached suffix is now invalidated so the tray label no longer shows stale data indefinitely. * refactor: consolidate codex provider helpers and fix test semantics - Add Provider::is_codex_oauth() and Provider::codex_fast_mode_enabled() to eliminate duplicated meta extraction in claude.rs and stream_check.rs - Fix non-codex-oauth tests to pass codex_fast_mode=false (was true, harmless but semantically misleading) - Remove redundant is_dir() guard after resolve_skill_source_dir already guarantees the returned path is a directory * style: apply cargo fmt * fix(tray): reflect failed refreshes in cache and support Gemini flash-lite Follow-up to the tray usage-display feature addressing review feedback: - Write snapshots for both Ok(success:false) and Err paths in queryProviderUsage / get_subscription_quota so stale success data no longer persists across failed refreshes; the original Err is still returned to the frontend onError handler. - Include gemini_flash_lite tier in the tray summary with label "l". Matches the frontend SubscriptionQuotaFooter and keeps the worst emoji correct when lite is the highest utilization. - Add TIER_GEMINI_PRO / _FLASH / _FLASH_LITE constants in services/subscription.rs and reuse them in classify_gemini_model and sort_order. - Extract Provider::has_usage_script_enabled() to remove the duplicated meta.usage_script chain at two call sites. - Use db.get_provider_by_id in refresh_all_usage_in_tray instead of materialising the full provider map, and parallelise subscription and script futures via futures::future::join. - Narrow refresh_all_usage_in_tray to each section's effective current provider (script if enabled, else subscription when the provider is official). Hover refreshes now issue at most TRAY_SECTIONS.len() outbound requests. - Add 10 unit tests in tray::tests covering Claude/Codex h/w dispatch, Gemini p/f/l dispatch (including lite-only and lite-worst cases), and success/failure guards. --------- Co-authored-by: Jason <farion1231@gmail.com> |
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10e0772d8c |
feat: Add Codex OAuth FAST mode toggle (#2210)
* Add Codex OAuth FAST mode toggle * fix(codex-oauth): default FAST mode to off to avoid surprise quota burn service_tier="priority" consumes ChatGPT subscription quota at a higher rate. Users must now opt in explicitly rather than inherit FAST mode silently when this feature ships. --------- Co-authored-by: Jason <farion1231@gmail.com> |
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d03e6f9951 |
chore(lint): pin Rust toolchain to 1.95 and adopt clippy 1.95 suggestions
- Add rust-toolchain.toml to align local and CI Rust versions, eliminating clippy roulette caused by `dtolnay/rust-toolchain@stable` drift. - Fix 9 clippy 1.95 findings introduced by Hermes Phase 4-8 modules: * 4x unnecessary_sort_by -> sort_by_key (with Reverse for desc) * 3x collapsible_match -> match guards * 1x while_let_loop -> while let * 1x useless_conversion -> drop redundant .into_iter() |
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03a0f9661b |
feat(proxy): Gemini Native API proxy integration (#1918)
* refactor(proxy): extract take_sse_block helper with CRLF delimiter support
Replace inline `buffer.find("\n\n")` SSE splitting logic across streaming,
streaming_responses, response_handler, and response_processor with a shared
`take_sse_block` function that handles both `\n\n` and `\r\n\r\n` delimiters.
* feat(proxy): add Gemini Native URL builder and full-URL resolver
Introduce gemini_url module that normalizes legacy Gemini/OpenAI-compatible
base URLs into canonical models/*:generateContent endpoints. Supports both
structured Gemini URLs (auto-normalized) and opaque relay URLs (pass-through
with query params only).
* feat(proxy): add Gemini Native schema, shadow store, transform, and streaming
- gemini_schema: Gemini generateContent request/response type definitions
- gemini_shadow: session-scoped shadow store for thinking signature and
tool-call state replay across streaming chunks
- transform_gemini: bidirectional Anthropic Messages ↔ Gemini Native
request/response conversion with thinking block and tool-use support
- streaming_gemini: Gemini SSE → Anthropic SSE streaming adapter with
incremental thinking/text/tool_use delta emission
* feat(proxy): wire Gemini Native format into proxy core and Claude adapter
Integrate gemini_native api_format throughout the proxy pipeline:
- ClaudeAdapter: detect Gemini provider type, Google/GoogleOAuth auth
strategies, and suppress Anthropic-specific headers for Gemini targets
- Forwarder: Gemini URL resolution, shadow store threading, endpoint
rewriting to models/*:generateContent with stream/non-stream variants
- Handlers: route Gemini streaming through streaming_gemini adapter and
non-streaming through transform_gemini converter
- Server/State: add GeminiShadowStore to shared ProxyState
- StreamCheck: support gemini_native health check with proper auth headers
* feat(ui): add Gemini Native provider preset and api format option
- Add gemini_native to ClaudeApiFormat type and ProviderMeta.apiFormat
- Add "Gemini Native" provider preset with default Google AI endpoints
- Show Gemini-specific endpoint hints and full-URL mode guidance
- Add gemini_native option to API format selector in ClaudeFormFields
- Add i18n strings for zh/en/ja
* feat(proxy): add Gemini Native tool argument rectification
* feat(proxy): update Gemini streaming and transformation logic
* fix(proxy): align shadow turns to tail on client history truncation
* fix: revert unrelated cache_key change in claude proxy transform
Restore .unwrap_or(&provider.id) fallback for cache_key to match main
branch behavior. Only gemini_native related changes should be in this branch.
* Prevent Gemini review regressions in streaming and tool rectification
PR #1918 review feedback exposed two correctness issues in the Gemini Native adapter path. Gemini SSE buffering was still using lossy UTF-8 decoding, which could corrupt split multibyte payloads and drop streamed output. Tool arg rectification also removed top-level parameters eagerly, which broke tools that legitimately define a parameters field.
This change moves Gemini SSE buffering onto the existing append_utf8_safe path and makes parameters flattening conditional on the schema actually expecting nested extraction. The old Skill rectification path stays intact, and new regression tests cover both the preserved parameters case and UTF-8-split JSON payloads.
Constraint: Existing PR #1918 review feedback must be fixed without staging unrelated local docs and artifact files
Rejected: Keep String::from_utf8_lossy in Gemini SSE buffering | corrupts split multibyte payloads and can drop JSON chunks
Rejected: Always preserve the parameters wrapper | regresses the existing nested-parameters rectification path for Skill-style tools
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Keep Gemini SSE buffering on the UTF-8-safe accumulator path and only unwrap parameters when the target schema does not declare it as a legitimate field
Tested: cargo fmt --manifest-path src-tauri/Cargo.toml --all; cargo test --manifest-path src-tauri/Cargo.toml preserves_utf8_boundaries_when_json_payload_spans_chunks; cargo test --manifest-path src-tauri/Cargo.toml gemini_to_anthropic_rectifies_tool_args_from_schema_hints; cargo test --manifest-path src-tauri/Cargo.toml rectifies_streamed_skill_args_from_nested_parameters; cargo test --manifest-path src-tauri/Cargo.toml gemini_to_anthropic_preserves_legitimate_parameters_arg
Not-tested: Full src-tauri test suite; live end-to-end Gemini relay traffic against upstream services
* Keep Gemini tool replay stable across Claude request boundaries
Claude Code follow-up requests were still falling back to locally reconstructed functionCall parts, which dropped Gemini thought signatures and triggered INVALID_ARGUMENT errors from the official Gemini API. The replay path needed to survive real Claude request boundaries, not just idealized in-process test flows.
This change makes Claude requests reuse X-Claude-Code-Session-Id as the shadow session key, records streamed Gemini tool turns before tool_use events are fully drained, and matches assistant tool_use turns to shadow state by tool_use id and normalized tool name before positional fallback. Together these fixes keep thoughtSignature-bearing Gemini tool calls available for the next request in the loop.
Constraint: Claude Code sends a stable X-Claude-Code-Session-Id header while metadata.session_id may be absent on follow-up requests
Rejected: Rely on metadata-only Claude session extraction | generated fresh session ids and broke cross-request shadow replay
Rejected: Record Gemini shadow only after streaming completes | loses the race when the client sends the next request immediately after tool_use
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Preserve Gemini shadow continuity across requests by keying Claude sessions from the header first and persisting tool-call shadow before yielding tool_use events downstream
Tested: cargo fmt --manifest-path src-tauri/Cargo.toml --all; cargo test --manifest-path src-tauri/Cargo.toml test_extract_session_from_claude_header; cargo test --manifest-path src-tauri/Cargo.toml test_extract_session_from_claude_header_precedes_metadata; cargo test --manifest-path src-tauri/Cargo.toml stores_tool_shadow_before_tool_use_events_are_fully_drained; cargo test --manifest-path src-tauri/Cargo.toml shadow_replay_matches_tool_use_turn_by_id_when_position_drifts; cargo test --manifest-path src-tauri/Cargo.toml shadow_replay_aligns_to_latest_turns_after_client_truncation
Not-tested: Full src-tauri test suite without test filters; live end-to-end Gemini relay after this exact commit hash
* style: apply cargo fmt to pass Backend Checks CI
Wrap prompt_cache_key chained call across lines per rustfmt default
formatting. Pure formatting change, no behavior difference.
* fix(proxy/gemini): synthesize unique ids for no-id tool calls + enforce object params schema
P1 — Parallel tool calls without Gemini-assigned ids no longer collapse.
Gemini 2.x native parallel `functionCall` entries may omit the `id` field.
The previous `merge_tool_call_snapshots` fell back to matching by `name`,
which silently merged two parallel calls to the same function into one
entry — dropping the first call's args. The non-streaming path and shadow
store further bottlenecked on empty-string ids: multiple `tool_use` blocks
shared the same id, and `tool_name_by_id.get("")` could only return one
mapping, causing later `tool_result` round-trips to fail with
`Unable to resolve Gemini functionResponse.name` or bind to the wrong tool.
Fix: introduce `synthesize_tool_call_id()` producing `gemini_synth_<uuid>`.
Both streaming and non-streaming response paths now guarantee every
Anthropic-visible tool_use carries a unique id. `merge_tool_call_snapshots`
matches by id first, falling back to the `parts` array position (for the
cumulative-streaming case) while preserving the synthesized id across
chunks. `convert_message_content_to_parts` detects the synthetic prefix
and strips the id from outbound `functionCall`/`functionResponse` so the
internal identifier never leaks upstream. `shadow_parts` performs the
same strip when replaying a recorded assistant turn.
P2 — Vertex AI rejects empty `parameters` schemas. When an Anthropic tool
arrives with missing or empty `input_schema`, the proxy used to emit
`"parameters": {}` (no `type`), which fails Vertex AI validation with
`functionDeclaration parameters schema should be of type OBJECT`.
Contrary to the automated-review suggestion, the fix is not to omit
`parameters` (that too is rejected) but to normalize to the canonical
empty-object form `{type: "object", properties: {}}`.
Refs: google-gemini/generative-ai-python#423, BerriAI/litellm#5055.
Fix: new `ensure_object_schema` helper in `gemini_schema` promotes
missing `type` to `"object"` and adds empty `properties` when absent,
while leaving atomic (non-object) schemas untouched.
Tests: seven new regressions covering parallel no-id calls, cumulative
chunk id reuse, synthetic-id round-trip both directions, shadow replay
id stripping, and the three Vertex-AI schema shapes.
The two existing wrapper functions (`gemini_to_anthropic` and
`gemini_to_anthropic_with_shadow`) gain `#[allow(dead_code)]` to clear
a pre-existing clippy -D warnings failure — they are part of the public
transform API surface and intentionally kept for future callers.
Addresses Codex review P1/P2 on #1918.
* fix(proxy/gemini): narrow URL normalization + guard empty OAuth access_token
P2a — Preserve opaque relay URLs that contain `/v1/models/` prefixes.
`should_normalize_gemini_full_url` previously flagged any full URL whose
path merely contained `/v1beta/models/` or `/v1/models/` as a structured
Gemini endpoint, forcing rewrite to `.../v1beta/models/{model}:method`.
This silently dropped legitimate relay route segments (e.g.
`https://relay.example/v1/models/invoke` → `.../v1beta/models/...:generateContent`,
losing `/invoke`) and sent traffic to the wrong upstream path.
Replace the bare `contains(...)` checks with
`matches_structured_gemini_models_path`, which requires the
`/models/` segment to be followed by a canonical Gemini method call
(`*:generateContent` or `*:streamGenerateContent`). The
`matches_bare_gemini_models_path` helper is generalized (and renamed) to
handle both `/v1beta/models/` and `/v1/models/` alongside the original
bare `/models/` shape.
P2b — Reject empty Gemini OAuth access_tokens before they reach the
bearer header.
`GeminiAdapter::parse_oauth_credentials` accepts refresh-token-only JSON
(and surfaces `{"access_token": "", ...}` for expired credentials) with
`access_token` defaulting to `""`. The Claude adapter's GeminiCli branch
then called `AuthInfo::with_access_token(key, creds.access_token)`
unconditionally, so the bearer-header builder at
`AuthStrategy::GoogleOAuth` resolved to `Authorization: Bearer ` — a
deterministic 401 from upstream.
CC Switch does not currently exchange the refresh_token for a fresh
access_token (`OAuthCredentials::needs_refresh` / `can_refresh` are
annotated `#[allow(dead_code)]`). Until that exists, only attach
`access_token` when it is non-empty; fall back to plain GoogleOAuth
strategy with the raw key and log a warn pointing users at
`~/.gemini/oauth_creds.json` so the failure mode is observable.
Tests:
- gemini_url.rs: three new regressions — opaque `/v1/models/invoke`,
opaque `/v1beta/models/route`, and the positive counter-case where a
structured `/v1/models/...:generateContent` path still normalizes.
- claude.rs: three new `test_extract_auth_gemini_cli_*` tests covering
refresh-only JSON, empty-string access_token JSON, and the valid-JSON
pass-through.
All 839 lib tests pass; cargo fmt + clippy -D warnings clean.
Addresses Codex review P2 findings on #1918.
* fix(proxy/gemini): treat empty-string functionCall id as missing in streaming path
Follow-up to the earlier P1 fix: some Gemini relays serialize an absent
functionCall id as `"id": ""` instead of omitting the field. The
non-streaming `extract_tool_call_meta` already filters these via
`.filter(|s| !s.is_empty())`, but the streaming counterpart
`extract_tool_calls` passed the empty string straight through
`function_call.get("id").and_then(|v| v.as_str())` into
`GeminiToolCallMeta::new`, producing a `Some("")` id.
Downstream, `merge_tool_call_snapshots` would then match two parallel
no-id calls against each other on their shared empty-string id,
collapsing them into a single snapshot (silent data loss for the first
call) and emitting an Anthropic `tool_use.id: ""` that breaks tool_result
correlation on the Claude Code client.
Fix:
- `extract_tool_calls`: apply the same `filter(|s| !s.is_empty())` guard
used in the non-streaming path so empty strings become `None` before
reaching the shadow meta.
- `merge_tool_call_snapshots`: defensively collapse any incoming
`Some("")` to `None` up front — keeps the "missing vs present" invariant
local to the merge step for future callers that might build
`GeminiToolCallMeta` by hand.
Tests (2 new, both in streaming_gemini):
- `parallel_empty_string_id_calls_are_treated_as_missing_and_preserved`
covers two parallel calls with explicit `"id": ""` — asserts both
surface, no empty tool_use id leaks, and each gets a unique
`gemini_synth_` id.
- `single_empty_string_id_tool_call_gets_synthesized_id` covers the
non-parallel degraded-relay case.
All 841 lib tests pass; cargo fmt + clippy -D warnings clean.
Addresses Codex follow-up P1 on #1918.
* fix(proxy/gemini): gate generic REST path suffixes behind Google host whitelist
`should_normalize_gemini_full_url` previously treated any full URL whose
path ends with `/v1`, `/v1/models`, `/models`, `/v1/openai`, or `/openai`
as a structured Gemini endpoint and rewrote it to
`/v1beta/models/{model}:generateContent`. These are ubiquitous REST
conventions — opaque relays such as `https://relay.example/custom/v1`
legitimately use them for fixed endpoints — so the rewrite silently
routed traffic to the wrong upstream path.
Split the predicate into two layers:
- **Unconditional**: `matches_structured_gemini_models_path` (i.e. a
`/models/...:generateContent` method call anywhere in the path), the
Google-specific `/v1beta*` family, and the deep OpenAI-compat paths
(`/v1beta/openai/chat/completions`, `/openai/chat/completions`, and
their `responses` siblings). These remain host-agnostic because the
path grammar itself is Gemini-specific.
- **Google-host gated**: `/v1`, `/v1/models`, `/models`, `/v1/openai`,
`/openai`. Only normalized when the host is one of
`generativelanguage.googleapis.com`, `aiplatform.googleapis.com`, or a
real `*-aiplatform.googleapis.com` Vertex regional endpoint. The match
is exact/suffix (not `contains`), so lookalike hosts like
`aiplatform.example.com` are correctly treated as opaque relays.
Tests (8 new in `gemini_url::tests`):
- Four opaque-relay cases: `/custom/v1`, `/custom/models`,
`/custom/v1/models`, `/custom/openai` — all preserved as-is.
- Three Google-host counter-cases: `/v1`, `/models`, and
`us-central1-aiplatform.googleapis.com/v1` still normalize.
- One lookalike safety case: `aiplatform.example.com/v1` is NOT
treated as Google.
All 849 lib tests pass; cargo fmt + clippy -D warnings clean.
Addresses Codex review P2 on #1918.
* fix(proxy/gemini): align shadow id with client-visible id in non-streaming path
When Gemini returns a `functionCall` without an id (common in 2.x
parallel calls), `gemini_to_anthropic_with_shadow_and_hints` previously
generated TWO independent synthesized UUIDs:
1. Line 186-197 — synthesized id `A` used for the Anthropic-visible
`content[tool_use].id` returned to the client.
2. Line 850-881 — `extract_tool_call_meta` independently synthesized
id `B ≠ A`, which populated `shadow_turn.tool_calls[i].id`.
`shadow_content` (line 225-228, cloned from `rectified_parts`) retained
the original missing/empty id. Result: the client sees id `A`, the
shadow store holds id `B`.
On the next turn, `convert_messages_to_contents` builds
`tool_name_by_id` from `build_tool_name_map_from_shadow_turns`, which
uses `tool_calls[i].id` — so the map contains `B → name` but not
`A → name`. When the client sends back `tool_result(tool_use_id=A)`,
resolution fails with:
Unable to resolve Gemini functionResponse.name for tool_use_id `A`
This affects both truncated histories (client sends only the
tool_result) and full histories (shadow-replay branch at line 342-354
skips `convert_message_content_to_parts`, so the assistant tool_use
block never registers id `A` itself).
Fix: make `rectified_parts` the single source of truth. After
`rectify_tool_call_parts`, run a pre-pass that writes
`synthesize_tool_call_id()` back into any `functionCall` that lacks a
non-empty id. All three readers — the content builder (186-197), the
shadow_content clone (225-228), and `extract_tool_call_meta` — then
observe the same id. `shadow_parts()` already strips synthesized ids on
replay (line 616-628), so the internal identifier never leaks to
Gemini upstream.
This mirrors the streaming path, which already has single-source-of-
truth semantics via `tool_call_snapshots` in `streaming_gemini.rs` —
no change needed there.
Tests (5 new in `transform_gemini::tests`):
- `non_stream_shadow_id_matches_client_visible_id`: asserts
`response.content[0].id == shadow.tool_calls[0].id ==
shadow.assistant_content.parts[0].functionCall.id`.
- `non_stream_missing_id_scenario_a_truncated_history_resolves`: turn 2
sends only `[tool_result(id=A)]`; resolution must succeed.
- `non_stream_missing_id_scenario_b_full_history_replay_resolves`: turn 2
sends `[assistant(tool_use=A), tool_result(A)]`; shadow-replay branch
strips the synth id from outgoing `functionCall` while still
resolving the subsequent `tool_result`.
- `non_stream_preserves_original_gemini_id_when_present`: regression —
genuine Gemini ids flow through unchanged.
- `non_stream_synthesized_id_not_leaked_to_gemini_via_shadow_replay`:
defensive — shadow-replay path must strip synth ids from both
`functionCall.id` and `functionResponse.id`.
All 854 lib tests pass; cargo fmt + clippy -D warnings clean.
Addresses Codex follow-up P1 on #1918.
* refactor(proxy/gemini): share build_anthropic_usage between stream and non-stream paths
`streaming_gemini::anthropic_usage_from_gemini` and
`transform_gemini::build_anthropic_usage` were byte-for-byte identical
(32 lines each) — both converting Gemini `usageMetadata` into the
Anthropic `usage` shape including `cache_read_input_tokens` mapping.
Promote the non-streaming version to `pub(crate)` and reuse it from the
streaming SSE converter. Removes ~30 lines of duplication and guarantees
the two paths cannot drift apart.
No behavioral change; all 854 lib tests pass; cargo fmt + clippy -D
warnings clean.
* fix(proxy/gemini): gate /v1beta behind Google host + normalize models/ model id prefix
Two related P2 corrections to the Gemini Native URL surface, both
folding into the existing Google-host-whitelist architecture.
## P2a — `/v1beta` suffix should not unconditionally trigger rewrite
`should_normalize_gemini_full_url` placed `/v1beta` and `/v1beta/models`
in the unconditional layer on the reasoning that `/v1beta` is
Google-specific. In practice an opaque relay fronting a non-Gemini
service at `https://relay.example/custom/v1beta` would still be
silently rewritten to `/v1beta/models/{model}:generateContent`,
breaking the deployment.
Move `/v1beta`, `/v1beta/models`, and `/v1beta/openai` into the
Google-host gated layer alongside `/v1`, `/models`, and friends. The
unconditional layer now only accepts paths whose grammar is
intrinsically Gemini — `/models/...:generateContent` method calls and
the deep OpenAI-compat endpoints like `/openai/chat/completions` and
`/openai/responses`. Pasted AI-Studio URLs such as
`https://generativelanguage.googleapis.com/v1beta` still normalize
because the host matches the whitelist.
## P2b — `model: "models/gemini-2.5-pro"` produced doubled path prefix
Gemini SDKs (and the official `list_models` response) commonly surface
model ids in resource-name form `models/gemini-2.5-pro`. Raw
interpolation into `format!("/v1beta/models/{model}:...")` produced
`/v1beta/models/models/gemini-2.5-pro:streamGenerateContent` which
upstream rejects — yielding false-negative health checks for otherwise
valid provider configs.
Introduce `normalize_gemini_model_id(&str) -> &str` in `gemini_url`
as the single source of truth: strips an optional leading `/` then an
optional `models/` prefix, leaving bare ids untouched. Apply in the
three call sites that build a Gemini method URL:
- `services/stream_check.rs::resolve_claude_stream_url` (unified path)
- `services/stream_check.rs::check_gemini_stream` (Gemini-only path)
- `proxy/forwarder.rs::rewrite_claude_transform_endpoint` (production)
Tests (9 new):
- `gemini_url`: 3 regressions for opaque vs Google-host `/v1beta*`
handling + 5 unit tests pinning `normalize_gemini_model_id` behavior
(strip prefix, leave bare id, preserve nested slashes past the one
stripped prefix, tolerate leading slash, pass through empty input).
- `stream_check`: one end-to-end regression confirming
`models/gemini-2.5-pro` collapses to the expected single-prefix URL.
- `forwarder`: one end-to-end regression on the production rewrite
path.
All 864 lib tests pass; cargo fmt + clippy -D warnings clean.
Addresses Codex P2 feedback on #1918.
* fix(proxy/gemini): trim API key before provider-type detection and OAuth parsing
Leading whitespace on a copied oauth_creds.json (e.g. trailing newline
when the user copies the file content as-is) would slip past the
`starts_with("ya29.") || starts_with('{')` prefix check in
`ClaudeAdapter::provider_type`, causing the provider to be misclassified
as raw-API-key Gemini and fall back to `x-goog-api-key` with the raw
JSON as the key — which upstream rejects with 401.
The frontend's `handleApiKeyChange` already trims on keystrokes but
deep-link imports, the JSON editor, and live-config backfill all bypass
that path. Trim at every backend extraction point so the coverage is
uniform:
- `ClaudeAdapter::extract_key` (5 env / fallback branches) gets
`.map(str::trim)` before `.filter(|s| !s.is_empty())` so that
whitespace-only values are also treated as missing.
- `GeminiAdapter::extract_key_raw` gets the same chain (including
the `.filter` it was missing before).
- `GeminiAdapter::parse_oauth_credentials` gets a defensive
`let key = key.trim();` at the entry as a belt-and-suspenders guard.
Adds two regression tests covering JSON and bare `ya29.` keys with
leading newline/space.
* fix(proxy/gemini): gate generic REST suffix stripping behind Google host in non-full-URL mode
`build_gemini_native_url` unconditionally stripped `/v1`, `/v1beta`,
`/models`, and `/openai` suffixes from the base path regardless of
host. This worked for Google's own endpoints but silently rewrote
third-party relay URLs like `https://relay.example/custom/v1` to
`.../custom/v1beta/models/...`, breaking any relay that mounts its
Gemini-compatible namespace under a versioned prefix.
The result was also asymmetric with the previously-fixed full-URL
branch: toggling the "full URL" switch changed the outbound URL for
the same base_url, which is exactly the kind of invisible behavior
that makes debugging proxy deployments painful.
Align `normalize_gemini_base_path` with
`should_normalize_gemini_full_url`'s layered model:
- Unconditional: `/models/...:method` structured paths and deep
OpenAI-compat endpoints (`/openai/chat/completions`,
`/openai/responses` and their versioned variants) — these are
unambiguous Gemini-specific grammar on any host.
- Google-host gated: generic `/v1`, `/v1beta`, `/models`, `/openai`
suffixes only get stripped on `generativelanguage.googleapis.com`,
`aiplatform.googleapis.com`, or `*-aiplatform.googleapis.com`.
Other hosts preserve the prefix verbatim so relays keep their
intended routing.
Adds seven regression tests for the non-full-URL flow: opaque relay
preservation (v1 / v1beta / models / openai suffix variants), Google
host normalization (counter-case), and boundary cases (structured
method path and deep OpenAI-compat endpoint stripped regardless of
host).
Test count: 864 -> 873.
* Revert "fix(proxy/gemini): gate generic REST suffix stripping behind Google host in non-full-URL mode"
This reverts commit
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af679cda25 |
fix: map adaptive thinking to xhigh reasoning_effort instead of high
When thinking.type is "adaptive" (Claude's maximum thinking mode) and output_config.effort is absent, resolve_reasoning_effort() incorrectly mapped it to "high" instead of "xhigh" in OpenAI format conversions. |
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6a34253934 |
feat: add Codex OAuth (ChatGPT Plus/Pro) reverse proxy support
Adds a new managed OAuth provider that lets Claude Code route requests through a user's ChatGPT Plus/Pro subscription via the chatgpt.com backend-api/codex endpoint. - CodexOAuthManager: OpenAI Device Code flow with multi-account support, JWT-based account identification, and automatic access_token refresh. - Reuses the generic managed-auth command surface (auth_start_login, auth_poll_for_account, etc.) via provider dispatch in commands/auth.rs. - ClaudeAdapter detects codex_oauth providers, forces the base URL to the ChatGPT backend, pins api_format to openai_responses, and emits Authorization + originator headers; the forwarder injects the dynamic access_token and ChatGPT-Account-Id per request. - transform_responses gains an is_codex_oauth path that aligns the body with OpenAI's codex-rs ResponsesApiRequest contract: sets store:false, appends reasoning.encrypted_content to include, strips max_output_tokens / temperature / top_p, injects default instructions/tools/parallel_tool_calls, and forces stream:true. Covered by 9 new unit tests plus regression guards for the non-Codex path. - Stream check reuses the same transform flag so detection matches the production request shape. - Frontend adds CodexOAuthSection + useCodexOauth hook, integrates it into ClaudeFormFields / ProviderForm / AuthCenterPanel, ships a new "Codex (ChatGPT Plus/Pro)" preset, and adds zh/en/ja i18n strings. |
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fe3f9b60de |
feat(proxy): resolve reasoning_effort from explicit effort with budget fallback
Replace map_thinking_to_reasoning_effort() with resolve_reasoning_effort() that uses a two-tier priority system: 1. Explicit output_config.effort: low/medium/high map 1:1, max → xhigh 2. Fallback: thinking.type + budget_tokens thresholds (<4k → low, 4k-16k → medium, ≥16k → high, adaptive → high) Both Chat Completions and Responses API paths share the same helper, ensuring consistent mapping across all OpenAI-compatible endpoints. |
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f38facd430 |
fix(proxy): use max_completion_tokens for o1/o3 series models (#1451)
* fix(proxy): use max_completion_tokens for o1/o3 series models When converting Anthropic requests to OpenAI format for o1/o3 series models (like o1-mini, o3-mini), use max_completion_tokens instead of max_tokens to avoid unsupported_parameter errors. Fixes #1448 * fix: revert incorrect o-series max_completion_tokens in Responses API path Responses API uses max_output_tokens for all models including o-series. The o-series max_completion_tokens fix should only apply to Chat Completions API. --------- Co-authored-by: Hajen Teowideo <hajen.teowideo@example.com> Co-authored-by: Jason Young <44939412+farion1231@users.noreply.github.com> Co-authored-by: Jason <farion1231@gmail.com> |
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11f70f676e |
refactor: deduplicate and improve OpenAI Responses API conversion
- Extract shared map_responses_stop_reason and build_anthropic_usage_from_responses into transform_responses.rs as pub(crate) - Align cache token extraction priority: OpenAI nested details as fallback, direct Anthropic fields as override - Extract resolve_content_index helper to eliminate 3x copy-paste in streaming_responses.rs - Add streaming reasoning/thinking event handlers (response.reasoning.delta/done) - Add explanatory comment to transform_response heuristic detection - Add openai_responses to api_format doc comment and needs_transform test - Add explicit no-op match arms for lifecycle events - Add promptCacheKey to TS ProviderMeta type - Update toast i18n key to be generic for both OpenAI formats (zh/en/ja) |
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a30e2096bb |
feat: add OpenAI Responses API format conversion (api_format = "openai_responses")
Support Anthropic ↔ OpenAI Responses API format conversion alongside existing Chat Completions conversion. The Responses API uses a flat input/output structure with lifted function_call/function_call_output items and named SSE lifecycle events. |