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333 lines
8.9 KiB
Markdown
333 lines
8.9 KiB
Markdown
# OpenAI-Compatible Provider Routing
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CCS can route Claude Code traffic through a local Anthropic-compatible proxy when
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your API profile points at an OpenAI-compatible chat completions endpoint.
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This is useful for providers such as:
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- Hugging Face Inference Providers
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- OpenRouter
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- Ollama
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- llama.cpp servers
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- OpenAI-compatible self-hosted gateways
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## Related Project: claude-code-router
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[claude-code-router](https://github.com/musistudio/claude-code-router) is the
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main external reference that informed this CCS work. Their Anthropic/OpenAI
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transformer design helped shape the routing approach here.
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When to use CCR:
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- you want a standalone router without CCS profile integration
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- you do not need CCS account/runtime management around the request flow
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When to use CCS:
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- you already use CCS API profiles or runtime bridges
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- you want the proxy flow available through `ccs <profile>` and `ccs proxy ...`
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- you want the routing behavior documented and tested inside the CCS workflow
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## What CCS Does
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When you launch a compatible settings profile with the Claude target, CCS now:
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1. Starts a local proxy on `127.0.0.1`
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2. Accepts Anthropic `/v1/messages` traffic from Claude Code
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3. Translates requests into OpenAI chat-completions format
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4. Forwards them to your configured upstream provider
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5. Translates streaming responses back into Anthropic SSE
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You do not need to rewrite your profile by hand each time.
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## Quick Start
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Create or reuse an API profile that points at an OpenAI-compatible endpoint:
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```bash
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ccs api create --preset hf
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```
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Then you can use the profile directly:
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```bash
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ccs hf
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```
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CCS detects that the profile is OpenAI-compatible and auto-routes Claude Code
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through the local proxy.
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## Manual Proxy Lifecycle
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If you want to manage the proxy explicitly:
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```bash
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ccs proxy start hf
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eval "$(ccs proxy activate)"
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ccs proxy status
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ccs proxy stop
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```
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Useful variants:
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```bash
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ccs proxy start hf --host 127.0.0.1
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ccs proxy activate --fish
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```
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`ccs proxy activate` now prints the full local runtime contract:
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- `ANTHROPIC_BASE_URL`
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- `ANTHROPIC_AUTH_TOKEN`
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- `ANTHROPIC_MODEL` plus tier defaults when present
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- `DISABLE_TELEMETRY`
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- `DISABLE_COST_WARNINGS`
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- `API_TIMEOUT_MS`
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- `NO_PROXY`
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## One Active Proxy Profile
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The current runtime is a single local proxy daemon.
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- Reusing the same OpenAI-compatible profile is supported
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- Starting a different OpenAI-compatible profile while one proxy is already
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running is rejected instead of silently replacing the active upstream
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This is intentional to avoid breaking an in-flight Claude session by swapping
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its upstream provider out from under it.
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## Request-Time Routing
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The proxy is no longer limited to the startup profile's default model.
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Supported request-time selectors:
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- `profile:model`
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Example: `deepseek:deepseek-reasoner`
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- `profile`
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Example: `openrouter`
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- plain model ids
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Example: `deepseek-chat`
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Plain model ids use exact string equality against the configured profile model
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slots (`model`, `opusModel`, `sonnetModel`, `haikuModel`). CCS does not apply
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fuzzy matching or prefix matching here. If no exact match is found, the request
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stays on the active profile with the requested model id unchanged.
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Routing behavior:
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1. `profile:model` wins immediately.
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2. Scenario routing may override the active profile when configured.
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3. Plain model ids are matched against the configured OpenAI-compatible
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profiles before falling back to the active profile.
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This means a Claude session launched through one compatible profile can still
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request another compatible profile/model when the proxy can resolve it safely.
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## Scenario Routing
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Scenario routing is now supported through `proxy.routing` in your CCS config.
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Example `~/.ccs/config.yaml`:
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```yaml
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proxy:
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routing:
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default: "deepseek:deepseek-chat"
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background: "ollama:qwen2.5-coder:0.5b"
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think: "deepseek:deepseek-reasoner"
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longContext: "openrouter:google/gemini-2.5-pro"
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longContextThreshold: 60000
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webSearch: "openrouter:perplexity/sonar-pro"
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```
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Current scenario detection:
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- `background`: requested model contains `haiku`
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- `think`: Anthropic `thinking` is enabled
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- `longContext`: estimated request tokens exceed `longContextThreshold`
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- `webSearch`: tool list includes `web_search`
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- `default`: fallback selector when the above do not apply
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Routing decisions are logged through CCS structured logs.
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`longContextThreshold` uses an intentionally approximate token estimate based on
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message characters, tool payload size, and a `chars / 4` heuristic. Tune the
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threshold conservatively if your routing decision needs a sharper cutoff near
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the boundary.
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## How Profile Detection Works
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CCS keeps these profiles in the normal API/settings-profile flow.
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Anthropic-compatible endpoints such as:
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- `https://api.anthropic.com`
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- `https://api.z.ai/api/anthropic`
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- `https://api.deepseek.com/anthropic`
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continue to launch directly.
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OpenAI-compatible endpoints such as:
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- `https://router.huggingface.co/v1`
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- `https://api.openai.com/v1`
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- `http://localhost:11434`
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are routed through the local proxy for Claude-target launches.
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## Provider Setup
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### DeepSeek
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Use a settings profile whose env looks like:
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```json
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{
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"env": {
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"ANTHROPIC_BASE_URL": "https://api.deepseek.com/v1",
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"ANTHROPIC_AUTH_TOKEN": "sk-...",
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"ANTHROPIC_MODEL": "deepseek-chat",
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"CCS_DROID_PROVIDER": "generic-chat-completion-api"
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}
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}
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```
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Typical override target:
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- `deepseek:deepseek-reasoner`
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### OpenRouter
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```json
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{
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"env": {
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"ANTHROPIC_BASE_URL": "https://openrouter.ai/api/v1",
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"ANTHROPIC_AUTH_TOKEN": "sk-or-...",
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"ANTHROPIC_MODEL": "openai/gpt-4.1-mini",
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"CCS_DROID_PROVIDER": "generic-chat-completion-api"
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}
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}
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```
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Useful when you want:
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- model fan-out behind one provider profile
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- long-context or web-search scenario targets
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### Ollama / Local Gateways
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```json
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{
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"env": {
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"ANTHROPIC_BASE_URL": "http://127.0.0.1:11434",
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"ANTHROPIC_AUTH_TOKEN": "ollama",
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"ANTHROPIC_MODEL": "qwen3-coder",
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"CCS_DROID_PROVIDER": "generic-chat-completion-api"
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}
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}
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```
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For self-signed HTTPS gateways, add `CCS_OPENAI_PROXY_INSECURE=1`.
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### DashScope / Qwen Compatible Mode
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DashScope's compatible endpoint works even when older settings files still
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carry a stale Anthropic-style provider hint:
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```json
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{
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"env": {
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"ANTHROPIC_BASE_URL": "https://dashscope-us.aliyuncs.com/compatible-mode/v1",
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"ANTHROPIC_AUTH_TOKEN": "sk-...",
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"ANTHROPIC_MODEL": "qwen3.6-plus",
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"CCS_DROID_PROVIDER": "anthropic"
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}
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}
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```
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CCS now infers the OpenAI-compatible route from the base URL and does not let
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that stale provider hint block proxy routing.
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## Self-Signed TLS
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If your upstream gateway uses a self-signed or privately issued certificate,
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set this in the profile settings JSON:
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```json
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{
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"env": {
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"CCS_OPENAI_PROXY_INSECURE": "1"
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}
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}
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```
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That flag is respected by both:
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- `ccs <profile>` auto-routing
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- `ccs proxy start <profile>`
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## Supported Runtime Paths
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- `ccs <profile>` with Claude target: auto-starts the local proxy when needed
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- `ccs proxy start <profile>`: starts the proxy explicitly
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- `GET /`: proxy info and bound profile details
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- `GET /health`: proxy liveness check
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- `GET /v1/models`: local view of the configured model mapping
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- `POST /v1/messages`: Anthropic-compatible request entrypoint
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## Troubleshooting
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### Missing or invalid local proxy token
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- Re-run `eval "$(ccs proxy activate)"`
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- Check `ccs proxy status` and confirm the expected profile is running
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### Self-signed or private CA upstream
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- Add `CCS_OPENAI_PROXY_INSECURE=1` to the profile settings
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- Restart the proxy after changing the setting
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### Port conflict on `3456`
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- Start with a fixed port: `ccs proxy start hf --port 3457`
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- Re-run `ccs proxy activate` after changing the port
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### Provider returns `429` or empty upstream output
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- CCS now preserves upstream rate-limit errors and retry headers
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- Empty or malformed provider JSON is returned as Anthropic-style `api_error`
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### Requests route to the wrong model/profile
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- Use an explicit selector such as `profile:model`
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- Review `proxy.routing` if scenario routing is enabled
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- Check CCS structured logs in `~/.ccs/logs/current.jsonl` for routing decisions
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## Validation
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The shipped coverage includes:
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- unit tests for OpenAI-compatible profile detection
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- unit tests for Anthropic -> OpenAI request translation
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- unit tests for request-time profile/model routing and scenario routing
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- unit tests for multi-line SSE parsing
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- integration tests for `/v1/messages` request/response translation
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- integration tests for rate limits, empty upstream responses, timeout handling,
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thinking/tool-call chunk streaming, and request-time routing
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- integration tests for daemon lifecycle and `/health` / `/v1/models`
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- e2e tests for `ccs proxy` lifecycle
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- e2e tests for `ccs <profile>` auto-routing through a mock upstream
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Focused verification command:
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```bash
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bun test tests/e2e/proxy-command.e2e.test.ts tests/integration/proxy/request-routing.test.ts --coverage
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```
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Pre-merge gate:
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```bash
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bun run validate
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```
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