Route these providers through POST /messages with vendor headers and bases (including Kimi model list on OpenAI /v1/models). Remove Z.ai from OpenAI-chat server-tool rejection; extend tests and README.
## Summary
Adds support for the **OpenCode Go** subscription gateway at
`opencode.ai/zen/go/v1`, as requested in #504.
OpenCode Go exposes the same OpenAI-compatible Chat Completions API as
OpenCode Zen, so the implementation reuses `OpenCodeProvider` with a
configurable `provider_name` parameter — avoiding code duplication.
### Changes
- **Provider**: `OpenCodeProvider` now accepts `provider_name` (defaults
to `"OPENCODE"` for backward compatibility)
- **Catalog**: New `opencode_go` descriptor with correct base URL,
credential, and capabilities
- **Registry**: `_create_opencode_go` factory that passes
`provider_name="OPENCODE_GO"`
- **Settings**: `opencode_go_api_key` and `opencode_go_proxy` fields
- **Admin UI**: OpenCode Go API key, proxy, and smoke model config
fields
- **API services**: `opencode_go` added to OpenAI Chat Completions
upstream IDs
- **Smoke config**: Default smoke model `opencode_go/gpt-5.3-codex`
- **Tests**: New test for base URL, provider name, and API key; existing
tests updated
## Test plan
- [x] `test_opencode_go_provider_config_uses_correct_base_url_and_name`
— passes
- [x] `test_create_provider_instantiates_each_builtin` — covers
opencode_go
- [x]
`test_provider_and_platform_registries_include_advertised_builtins` —
covers opencode_go
- [x] `uv run ruff format`, `ruff check`, `ty check`, `pytest` — pass
locally on Python 3.14
Closes#504.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
Registers FIREWORKS_API_KEY / FIREWORKS_PROXY in api/admin_config FIELDS so the UI can set credentials and provider status stays accurate.
Adds admin apply test and contract guards linking PROVIDER_CATALOG to FIELD_BY_KEY; updates .env.example.
## Summary
- split the admin UI into Providers, Model Config, and Messaging views
- remove generated env, diagnostics, smoke, managed-label, and fixed
cloud/runtime settings from the visible admin UX
- make Z.ai base URL, Claude workspace, and Claude CLI binary fixed
app-level behavior instead of managed env fields
## Verification
- uv run ruff format
- uv run ruff check
- uv run ty check
- uv run pytest
- Point DeepSeek at api.deepseek.com/anthropic with x-api-key headers
- Native request builder, DeepSeek-specific thinking/block sanitization
- Drop deepseek from OpenAI-chat server-tool preflight; update tests and docs
- Default smoke model deepseek-v4-pro; re-export dump_raw_messages_request
- Add ReasoningReplayMode and top-level reasoning replay in OpenAI conversion
- DeepSeek/NIM request bodies use reasoning_content when thinking is enabled
- NIM retries without reasoning_content on 400 from upstream
- Per-provider smoke models (FCC_SMOKE_MODEL_*) independent of MODEL mapping
- Fix smoke model override parsing for owner/model names with slashes
- Live smoke: reasoning tool continuation uses synthetic thinking+tool history
- Tests and docs updated
Consolidates the incremental refactor work into a single change set: modular web tools (api/web_tools), native Anthropic request building and SSE block policy, OpenAI conversion and error handling, provider transports and rate limiting, messaging handler and tree queue, safe logging, smoke tests, and broad test coverage.
Add proxy support for providers based on
[doc](https://www.python-httpx.org/advanced/proxies/):
- Add per-provider proxy support (HTTP and SOCKS5) for all 4 providers:
nvidia_nim, open_router, lmstudio, llamacpp
- Each provider gets its own env var (NVIDIA_NIM_PROXY,
OPENROUTER_PROXY, LMSTUDIO_PROXY, LLAMACPP_PROXY) for independent proxy
configuration
---------
Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
## Summary
* add native DeepSeek provider support via the shared OpenAI-compatible
provider base
* allow `deepseek/...` model prefixes in config validation
* add `DEEPSEEK_API_KEY` and `DEEPSEEK_BASE_URL` settings
* add DeepSeek entries to `.env.example` and `config/env.example`
* implement `DeepSeekProvider` and register it in provider dependencies
* add a DeepSeek request builder with DeepSeek-specific thinking payload
handling
* preserve Anthropic thinking blocks as `reasoning_content` for
DeepSeek-compatible continuation flows
* update `claude-pick` to discover DeepSeek models from the DeepSeek API
* document DeepSeek usage in `README.md`
* add tests for config validation, provider dependency wiring, request
building, and streaming behavior
## Motivation
DeepSeek exposes an OpenAI-compatible API and can be used directly
without routing through OpenRouter. This lets users spend their existing
DeepSeek balance through the proxy while keeping the same Claude Code
workflow and per-model provider mapping.
## Example
```dotenv
DEEPSEEK_API_KEY="sk-..."
DEEPSEEK_BASE_URL="https://api.deepseek.com"
MODEL_OPUS="deepseek/deepseek-reasoner"
MODEL_SONNET="deepseek/deepseek-chat"
MODEL_HAIKU="deepseek/deepseek-chat"
MODEL="deepseek/deepseek-chat"
---------
Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
Mistral models reject chat_template_kwargs, causing 400 errors. Make
thinking params (chat_template_kwargs, reasoning_budget) opt-in via
NIM_ENABLE_THINKING env var (default false) so only models that need it
(kimi, nemotron) receive them.
- Rewrites LMStudioProvider to inherit from BaseProvider
- Passes requests natively to /v1/messages using httpx instead of AsyncOpenAI
- Auto-translates internal ThinkingConfig to Anthropic schema
- Updates .env.example with model routing instructions
- Adjusts test suite for new native integration
## Summary
Added NVIDIA NIM as a second transcription option ( alongside local
Whisper). This lets you transcribe voice notes using NVIDIA's cloud API
instead of running Whisper locally.
## What changed
- **Transcription**: Now supports the two backends
- Local Whisper: Free, runs on your GPU/CPU (existing)
- NVIDIA NIM: Cloud API via Riva gRPC (new)
- **Supported models**: 8 NVIDIA NIM models added (Parakeet variants for
different languages, Whisper Large V3)
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Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
Alishahryar1