Use the models where you already code

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Claude CodeCodex CLI

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$env:ANTHROPIC_BASE_URL = "https://ghostcli.dev"
$env:ANTHROPIC_API_KEY  = "gcli_SUA_CHAVE"
claude

Two video walkthroughs, from nothing to a first reply. The CLI one covers install, PATH and environment variables; the app one covers developer mode and the gateway form.

Authenticate with Authorization: Bearer gcli_… or x-api-key: gcli_… — the server accepts both, because each SDK sends a different one. The key is shown only once, in the dashboard, and your IP has to be allowed there.

The Gemini format also accepts x-goog-api-key and the ?key= query parameter, matching Google SDK conventions.

Claude Code

$env:ANTHROPIC_BASE_URL = "https://ghostcli.dev"
$env:ANTHROPIC_API_KEY  = "gcli_..."
claude --model claude-fable-5.1

With the variables in your environment, every claude command talks to GhostCLI — no extra flag and no config file.

Codex CLI

Codex ignores OPENAI_BASE_URL for the default provider: it needs its own provider in config.toml (~/.codex/config.toml, or %USERPROFILE%\.codex\config.toml on Windows).

model = "claude-sonnet-5"
model_provider = "ghostcli"

[model_providers.ghostcli]
name = "GhostCLI"
base_url = "https://ghostcli.dev/v1"
env_key = "GHOSTCLI_API_KEY"
wire_api = "responses"

$env:GHOSTCLI_API_KEY = "gcli_..."
codex

The variable name is whatever you set in env_key. To switch models, change model at the top of the file.

from openai import OpenAI

client = OpenAI(base_url="https://ghostcli.dev/v1", api_key="gcli_...")

r = client.chat.completions.create(
    model="claude-fable-5.1",
    messages=[{"role": "user", "content": "Explique RAG"}],
)
print(r.choices[0].message.content)

In PowerShell, curl is an alias for Invoke-WebRequest and does not accept this syntax — use curl.exe, which ships with Windows 10 and 11.

The id goes in the model field of requests and in the --model flag of the CLIs.

Works in all four formats — tool_use/tool_result on Anthropic, tool_calls on Chat Completions, function_call/function_call_output on the Responses API, functionCall/functionResponse on Gemini — with streaming: plain text arrives token by token and only the span of a call is held back until it closes.

Verified end to end with both real CLIs in a full cycle: run a failing test, read the file, fix it, run again and confirm it passes.