mirror of
https://github.com/Alishahryar1/free-claude-code.git
synced 2026-06-01 22:09:04 +02:00
Reorder providers in README and other places
This commit is contained in:
+1
-1
@@ -64,7 +64,7 @@ OLLAMA_BASE_URL="http://localhost:11434"
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# All Claude model requests are mapped to these models, plain model is fallback
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# Format: provider_type/model/name
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# Valid providers: "nvidia_nim" | "open_router" | "mistral" | "mistral_codestral" | "deepseek" | "kimi" | "wafer" | "lmstudio" | "llamacpp" | "ollama" | "opencode" | "opencode_go" | "zai" | "fireworks" | "gemini" | "groq" | "cerebras"
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# Valid providers: "nvidia_nim" | "open_router" | "gemini" | "deepseek" | "mistral" | "mistral_codestral" | "opencode" | "opencode_go" | "wafer" | "kimi" | "cerebras" | "groq" | "fireworks" | "zai" | "lmstudio" | "llamacpp" | "ollama"
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MODEL_OPUS=
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MODEL_SONNET=
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MODEL_HAIKU=
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@@ -37,7 +37,7 @@ Free Claude Code routes Anthropic Messages API traffic from Claude Code to any p
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## What You Get
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- Drop-in proxy for Claude Code's Anthropic API calls.
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- Seventeen provider backends: NVIDIA NIM, OpenRouter, Mistral La Plateforme, Mistral Codestral, DeepSeek, Kimi, Wafer, LM Studio, llama.cpp, Ollama, OpenCode Zen, OpenCode Go, Z.ai, Fireworks AI, Google AI Studio (Gemini), Groq, and Cerebras Inference.
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- Seventeen provider backends: NVIDIA NIM, OpenRouter, Google AI Studio (Gemini), DeepSeek, Mistral La Plateforme, Mistral Codestral, OpenCode Zen, OpenCode Go, Wafer, Kimi, Cerebras Inference, Groq, Fireworks AI, Z.ai, LM Studio, llama.cpp, and Ollama.
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- Per-model routing: send Opus, Sonnet, Haiku, and fallback traffic to different providers.
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- Native Claude Code `/model` picker support through the proxy's `/v1/models` endpoint (Claude Code must opt in to Gateway model discovery; see [Model Picker](#model-picker)).
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- Streaming, tool use, reasoning/thinking block handling, and local request optimizations.
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@@ -183,34 +183,7 @@ Popular examples:
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This provider uses Wafer's Anthropic-compatible endpoint at `https://pass.wafer.ai/v1/messages`.
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### 8. [LM Studio](https://lmstudio.ai/)
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Start LM Studio's local server and load a model. In the Admin UI, keep or update `LM_STUDIO_BASE_URL`, then set `MODEL` to the model identifier shown by LM Studio, prefixed with `lmstudio/`.
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Prefer models with tool-use support for Claude Code workflows.
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### 9. [llama.cpp](https://github.com/ggml-org/llama.cpp)
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Start `llama-server` with an Anthropic-compatible `/v1/messages` endpoint and enough context for Claude Code requests.
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In the Admin UI, keep or update `LLAMACPP_BASE_URL`, then set `MODEL` to the local model slug, prefixed with `llamacpp/`.
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For local coding models, context size matters. If llama.cpp returns HTTP 400 for normal Claude Code requests, increase `--ctx-size` and verify the model/server build supports the requested features.
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### 10. [Ollama](https://ollama.com/)
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Run Ollama and pull a model:
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```bash
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ollama pull llama3.1
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ollama serve
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```
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In the Admin UI, keep or update `OLLAMA_BASE_URL`, then set `MODEL` to the same tag shown by `ollama list`, prefixed with `ollama/`.
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`OLLAMA_BASE_URL` is the Ollama server root; do not append `/v1`. Example model slugs include `ollama/llama3.1` and `ollama/llama3.1:8b`.
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### 11. [OpenCode Zen](https://opencode.ai/)
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### 8. [OpenCode Zen](https://opencode.ai/)
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Get an API key at [opencode.ai/auth](https://opencode.ai/auth).
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@@ -229,7 +202,7 @@ Popular examples:
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Browse available models at [opencode.ai](https://opencode.ai).
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### 12. [OpenCode Go](https://opencode.ai/)
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### 9. [OpenCode Go](https://opencode.ai/)
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Get an API key at [opencode.ai/auth](https://opencode.ai/auth) (same as OpenCode Zen).
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@@ -243,7 +216,7 @@ Popular examples:
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Browse available models at [opencode.ai](https://opencode.ai).
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### 13. [Z.ai](https://z.ai/)
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### 10. [Z.ai](https://z.ai/)
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Get an API key at [Z.ai/manage-apikey/apikey-list](https://z.ai/manage-apikey/apikey-list).
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@@ -258,7 +231,7 @@ Popular examples:
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Browse models at [Z.ai](https://z.ai).
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### 14. [Fireworks AI](https://fireworks.ai/)
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### 11. [Fireworks AI](https://fireworks.ai/)
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Get an API key at [fireworks.ai/account/api-keys](https://fireworks.ai/account/api-keys).
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@@ -268,7 +241,7 @@ Fireworks exposes an **Anthropic-compatible** Messages API at `https://api.firew
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Browse models at [fireworks.ai/models](https://fireworks.ai/models).
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### 15. [Google AI Studio (Gemini)](https://aistudio.google.com/)
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### 12. [Google AI Studio (Gemini)](https://aistudio.google.com/)
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Get a Gemini API key at [Google AI Studio](https://aistudio.google.com/apikey) (see Google's [Gemini OpenAI compatibility](https://ai.google.dev/gemini-api/docs/openai) docs).
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@@ -281,7 +254,7 @@ Popular examples:
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- `gemini/gemini-2.5-flash`
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- `gemini/gemini-3.1-flash-lite`
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### 16. [Groq](https://console.groq.com/)
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### 13. [Groq](https://console.groq.com/)
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Get an API key at [console.groq.com/keys](https://console.groq.com/keys).
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@@ -293,7 +266,7 @@ Reasoning-heavy models expose extra knobs documented under [Groq reasoning](http
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Browse models at [console.groq.com/docs/models](https://console.groq.com/docs/models).
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### 17. [Cerebras Inference](https://inference-docs.cerebras.ai/quickstart)
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### 14. [Cerebras Inference](https://inference-docs.cerebras.ai/quickstart)
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Sign up and create an API key in the [Cerebras Cloud Console](https://cloud.cerebras.ai) (see [Quickstart](https://inference-docs.cerebras.ai/quickstart)).
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@@ -301,6 +274,33 @@ In the Admin UI, set `CEREBRAS_API_KEY`, then route with `MODEL` such as `cerebr
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Cerebras exposes an OpenAI-compatible API at `https://api.cerebras.ai/v1` ([OpenAI compatibility](https://inference-docs.cerebras.ai/resources/openai)). Non-standard request fields should go in `extra_body` when using the OpenAI client; see the same page. For reasoning models and parameters, see [Reasoning](https://inference-docs.cerebras.ai/capabilities/reasoning). This proxy follows other OpenAI-compat adapters for thinking via `reasoning_content` when Claude-style thinking is enabled.
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### 15. [LM Studio](https://lmstudio.ai/)
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Start LM Studio's local server and load a model. In the Admin UI, keep or update `LM_STUDIO_BASE_URL`, then set `MODEL` to the model identifier shown by LM Studio, prefixed with `lmstudio/`.
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Prefer models with tool-use support for Claude Code workflows.
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### 16. [llama.cpp](https://github.com/ggml-org/llama.cpp)
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Start `llama-server` with an Anthropic-compatible `/v1/messages` endpoint and enough context for Claude Code requests.
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In the Admin UI, keep or update `LLAMACPP_BASE_URL`, then set `MODEL` to the local model slug, prefixed with `llamacpp/`.
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For local coding models, context size matters. If llama.cpp returns HTTP 400 for normal Claude Code requests, increase `--ctx-size` and verify the model/server build supports the requested features.
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### 17. [Ollama](https://ollama.com/)
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Run Ollama and pull a model:
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```bash
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ollama pull llama3.1
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ollama serve
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```
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In the Admin UI, keep or update `OLLAMA_BASE_URL`, then set `MODEL` to the same tag shown by `ollama list`, prefixed with `ollama/`.
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`OLLAMA_BASE_URL` is the Ollama server root; do not append `/v1`. Example model slugs include `ollama/llama3.1` and `ollama/llama3.1:8b`.
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### 18. Mix Providers By Model Tier
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Each model tier can use a different provider by setting `MODEL_OPUS`, `MODEL_SONNET`, and `MODEL_HAIKU` in the Admin UI. Leave a tier blank to inherit `MODEL`.
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+102
-98
@@ -75,6 +75,25 @@ PROVIDER_CATALOG: dict[str, ProviderDescriptor] = {
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proxy_attr="open_router_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "native_anthropic"),
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),
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"gemini": ProviderDescriptor(
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provider_id="gemini",
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transport_type="openai_chat",
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credential_env="GEMINI_API_KEY",
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credential_url="https://aistudio.google.com/apikey",
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credential_attr="gemini_api_key",
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default_base_url=GEMINI_DEFAULT_BASE,
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proxy_attr="gemini_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"deepseek": ProviderDescriptor(
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provider_id="deepseek",
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transport_type="anthropic_messages",
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credential_env="DEEPSEEK_API_KEY",
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credential_url="https://platform.deepseek.com/api_keys",
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credential_attr="deepseek_api_key",
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default_base_url=DEEPSEEK_ANTHROPIC_DEFAULT_BASE,
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capabilities=("chat", "streaming", "tools", "thinking", "native_anthropic"),
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),
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"mistral": ProviderDescriptor(
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provider_id="mistral",
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transport_type="openai_chat",
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@@ -95,13 +114,34 @@ PROVIDER_CATALOG: dict[str, ProviderDescriptor] = {
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proxy_attr="codestral_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"deepseek": ProviderDescriptor(
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provider_id="deepseek",
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"opencode": ProviderDescriptor(
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provider_id="opencode",
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transport_type="openai_chat",
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credential_env="OPENCODE_API_KEY",
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credential_url="https://opencode.ai/auth",
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credential_attr="opencode_api_key",
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default_base_url=OPENCODE_DEFAULT_BASE,
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proxy_attr="opencode_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"opencode_go": ProviderDescriptor(
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provider_id="opencode_go",
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transport_type="openai_chat",
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credential_env="OPENCODE_API_KEY",
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credential_url="https://opencode.ai/auth",
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credential_attr="opencode_api_key",
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default_base_url=OPENCODE_GO_DEFAULT_BASE,
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proxy_attr="opencode_go_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"wafer": ProviderDescriptor(
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provider_id="wafer",
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transport_type="anthropic_messages",
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credential_env="DEEPSEEK_API_KEY",
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credential_url="https://platform.deepseek.com/api_keys",
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credential_attr="deepseek_api_key",
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default_base_url=DEEPSEEK_ANTHROPIC_DEFAULT_BASE,
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credential_env="WAFER_API_KEY",
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credential_url="https://www.wafer.ai/pass",
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credential_attr="wafer_api_key",
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default_base_url=WAFER_DEFAULT_BASE,
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proxy_attr="wafer_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "native_anthropic"),
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),
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"kimi": ProviderDescriptor(
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@@ -120,15 +160,58 @@ PROVIDER_CATALOG: dict[str, ProviderDescriptor] = {
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"native_anthropic",
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),
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),
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"wafer": ProviderDescriptor(
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provider_id="wafer",
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"cerebras": ProviderDescriptor(
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provider_id="cerebras",
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transport_type="openai_chat",
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credential_env="CEREBRAS_API_KEY",
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credential_url="https://cloud.cerebras.ai",
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credential_attr="cerebras_api_key",
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default_base_url=CEREBRAS_DEFAULT_BASE,
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proxy_attr="cerebras_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"groq": ProviderDescriptor(
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provider_id="groq",
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transport_type="openai_chat",
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credential_env="GROQ_API_KEY",
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credential_url="https://console.groq.com/keys",
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credential_attr="groq_api_key",
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default_base_url=GROQ_DEFAULT_BASE,
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proxy_attr="groq_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"fireworks": ProviderDescriptor(
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provider_id="fireworks",
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transport_type="anthropic_messages",
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credential_env="WAFER_API_KEY",
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credential_url="https://www.wafer.ai/pass",
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credential_attr="wafer_api_key",
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default_base_url=WAFER_DEFAULT_BASE,
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proxy_attr="wafer_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "native_anthropic"),
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credential_env="FIREWORKS_API_KEY",
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credential_url="https://fireworks.ai/account/api-keys",
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credential_attr="fireworks_api_key",
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default_base_url=FIREWORKS_DEFAULT_BASE,
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proxy_attr="fireworks_proxy",
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capabilities=(
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"chat",
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"streaming",
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"tools",
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"thinking",
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"native_anthropic",
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"rate_limit",
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),
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),
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"zai": ProviderDescriptor(
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provider_id="zai",
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transport_type="anthropic_messages",
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credential_env="ZAI_API_KEY",
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credential_attr="zai_api_key",
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default_base_url=ZAI_DEFAULT_BASE,
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proxy_attr="zai_proxy",
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capabilities=(
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"chat",
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"streaming",
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"tools",
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"thinking",
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"native_anthropic",
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"rate_limit",
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),
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),
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"lmstudio": ProviderDescriptor(
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provider_id="lmstudio",
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@@ -163,92 +246,13 @@ PROVIDER_CATALOG: dict[str, ProviderDescriptor] = {
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"local",
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),
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),
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"opencode": ProviderDescriptor(
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provider_id="opencode",
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transport_type="openai_chat",
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credential_env="OPENCODE_API_KEY",
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credential_url="https://opencode.ai/auth",
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credential_attr="opencode_api_key",
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default_base_url=OPENCODE_DEFAULT_BASE,
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proxy_attr="opencode_proxy",
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
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),
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"opencode_go": ProviderDescriptor(
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provider_id="opencode_go",
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transport_type="openai_chat",
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credential_env="OPENCODE_API_KEY",
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credential_url="https://opencode.ai/auth",
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credential_attr="opencode_api_key",
|
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default_base_url=OPENCODE_GO_DEFAULT_BASE,
|
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proxy_attr="opencode_go_proxy",
|
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capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
|
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),
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"zai": ProviderDescriptor(
|
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provider_id="zai",
|
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transport_type="anthropic_messages",
|
||||
credential_env="ZAI_API_KEY",
|
||||
credential_attr="zai_api_key",
|
||||
default_base_url=ZAI_DEFAULT_BASE,
|
||||
proxy_attr="zai_proxy",
|
||||
capabilities=(
|
||||
"chat",
|
||||
"streaming",
|
||||
"tools",
|
||||
"thinking",
|
||||
"native_anthropic",
|
||||
"rate_limit",
|
||||
),
|
||||
),
|
||||
"fireworks": ProviderDescriptor(
|
||||
provider_id="fireworks",
|
||||
transport_type="anthropic_messages",
|
||||
credential_env="FIREWORKS_API_KEY",
|
||||
credential_url="https://fireworks.ai/account/api-keys",
|
||||
credential_attr="fireworks_api_key",
|
||||
default_base_url=FIREWORKS_DEFAULT_BASE,
|
||||
proxy_attr="fireworks_proxy",
|
||||
capabilities=(
|
||||
"chat",
|
||||
"streaming",
|
||||
"tools",
|
||||
"thinking",
|
||||
"native_anthropic",
|
||||
"rate_limit",
|
||||
),
|
||||
),
|
||||
"gemini": ProviderDescriptor(
|
||||
provider_id="gemini",
|
||||
transport_type="openai_chat",
|
||||
credential_env="GEMINI_API_KEY",
|
||||
credential_url="https://aistudio.google.com/apikey",
|
||||
credential_attr="gemini_api_key",
|
||||
default_base_url=GEMINI_DEFAULT_BASE,
|
||||
proxy_attr="gemini_proxy",
|
||||
capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
|
||||
),
|
||||
"groq": ProviderDescriptor(
|
||||
provider_id="groq",
|
||||
transport_type="openai_chat",
|
||||
credential_env="GROQ_API_KEY",
|
||||
credential_url="https://console.groq.com/keys",
|
||||
credential_attr="groq_api_key",
|
||||
default_base_url=GROQ_DEFAULT_BASE,
|
||||
proxy_attr="groq_proxy",
|
||||
capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
|
||||
),
|
||||
"cerebras": ProviderDescriptor(
|
||||
provider_id="cerebras",
|
||||
transport_type="openai_chat",
|
||||
credential_env="CEREBRAS_API_KEY",
|
||||
credential_url="https://cloud.cerebras.ai",
|
||||
credential_attr="cerebras_api_key",
|
||||
default_base_url=CEREBRAS_DEFAULT_BASE,
|
||||
proxy_attr="cerebras_proxy",
|
||||
capabilities=("chat", "streaming", "tools", "thinking", "rate_limit"),
|
||||
),
|
||||
}
|
||||
|
||||
# Order matches docs / historical error text; must match PROVIDER_CATALOG keys.
|
||||
# Key order:
|
||||
# NVIDIA NIM first (README default), DeepSeek fourth, Wafer ninth / Kimi tenth; then cerebras /
|
||||
# groq / fireworks overlap; remainder and locals last per project plan (
|
||||
# github.com/cheahjs/free-llm-api-resources Free Providers TOC as rough guide beyond fixed slots).
|
||||
# ``SUPPORTED_PROVIDER_IDS`` inherits this insertion order for UI and error-message listing.
|
||||
SUPPORTED_PROVIDER_IDS: tuple[str, ...] = tuple(PROVIDER_CATALOG.keys())
|
||||
|
||||
if len(set(SUPPORTED_PROVIDER_IDS)) != len(SUPPORTED_PROVIDER_IDS):
|
||||
|
||||
+10
-10
@@ -139,21 +139,21 @@ def _create_cerebras(config: ProviderConfig, _settings: Settings) -> BaseProvide
|
||||
PROVIDER_FACTORIES: dict[str, ProviderFactory] = {
|
||||
"nvidia_nim": _create_nvidia_nim,
|
||||
"open_router": _create_open_router,
|
||||
"gemini": _create_gemini,
|
||||
"deepseek": _create_deepseek,
|
||||
"mistral": _create_mistral,
|
||||
"mistral_codestral": _create_mistral_codestral,
|
||||
"deepseek": _create_deepseek,
|
||||
"opencode": _create_opencode,
|
||||
"opencode_go": _create_opencode_go,
|
||||
"wafer": _create_wafer,
|
||||
"kimi": _create_kimi,
|
||||
"cerebras": _create_cerebras,
|
||||
"groq": _create_groq,
|
||||
"fireworks": _create_fireworks,
|
||||
"zai": _create_zai,
|
||||
"lmstudio": _create_lmstudio,
|
||||
"llamacpp": _create_llamacpp,
|
||||
"ollama": _create_ollama,
|
||||
"kimi": _create_kimi,
|
||||
"wafer": _create_wafer,
|
||||
"opencode": _create_opencode,
|
||||
"opencode_go": _create_opencode_go,
|
||||
"zai": _create_zai,
|
||||
"fireworks": _create_fireworks,
|
||||
"gemini": _create_gemini,
|
||||
"groq": _create_groq,
|
||||
"cerebras": _create_cerebras,
|
||||
}
|
||||
|
||||
if set(PROVIDER_DESCRIPTORS) != set(SUPPORTED_PROVIDER_IDS) or set(
|
||||
|
||||
@@ -0,0 +1,32 @@
|
||||
"""Freeze ``PROVIDER_CATALOG`` insertion order used as canonical provider ranking."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from config.provider_catalog import PROVIDER_CATALOG, SUPPORTED_PROVIDER_IDS
|
||||
|
||||
_EXPECTED_PROVIDER_ORDER: tuple[str, ...] = (
|
||||
"nvidia_nim",
|
||||
"open_router",
|
||||
"gemini",
|
||||
"deepseek",
|
||||
"mistral",
|
||||
"mistral_codestral",
|
||||
"opencode",
|
||||
"opencode_go",
|
||||
"wafer",
|
||||
"kimi",
|
||||
"cerebras",
|
||||
"groq",
|
||||
"fireworks",
|
||||
"zai",
|
||||
"lmstudio",
|
||||
"llamacpp",
|
||||
"ollama",
|
||||
)
|
||||
|
||||
|
||||
def test_provider_catalog_key_order_matches_canonical_plan() -> None:
|
||||
"""NIM first; DeepSeek fourth; Wafer ninth / Kimi tenth (see contributor plan)."""
|
||||
|
||||
assert tuple(PROVIDER_CATALOG.keys()) == _EXPECTED_PROVIDER_ORDER
|
||||
assert SUPPORTED_PROVIDER_IDS == _EXPECTED_PROVIDER_ORDER
|
||||
Reference in New Issue
Block a user