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Custom Models

Add custom providers and models (Ollama, vLLM, LM Studio, proxies) via ~/.gsd/agent/models.json.

For local models (Ollama, LM Studio, vLLM), only id is required per model:

{
"providers": {
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "openai-completions",
"apiKey": "ollama",
"models": [
{ "id": "llama3.1:8b" },
{ "id": "qwen2.5-coder:7b" }
]
}
}
}

The apiKey is required but Ollama ignores it, so any value works.

Some OpenAI-compatible servers do not understand the developer role used for reasoning-capable models. For those providers, set compat.supportsDeveloperRole to false so GSD sends the system prompt as a system message instead. If the server also does not support reasoning_effort, set compat.supportsReasoningEffort to false too.

You can set compat at the provider level to apply to all models, or at the model level to override a specific model. This commonly applies to Ollama, vLLM, SGLang, and similar OpenAI-compatible servers.

{
"providers": {
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "openai-completions",
"apiKey": "ollama",
"compat": {
"supportsDeveloperRole": false,
"supportsReasoningEffort": false
},
"models": [
{
"id": "gpt-oss:20b",
"reasoning": true
}
]
}
}
}

Override defaults when you need specific values:

{
"providers": {
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "openai-completions",
"apiKey": "ollama",
"models": [
{
"id": "llama3.1:8b",
"name": "Llama 3.1 8B (Local)",
"reasoning": false,
"input": ["text"],
"contextWindow": 128000,
"maxTokens": 32000,
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
}
]
}
}
}

The file reloads each time you open /model. Edit during session; no restart needed.

APIDescription
openai-completionsOpenAI Chat Completions (most compatible)
openai-responsesOpenAI Responses API
anthropic-messagesAnthropic Messages API
google-generative-aiGoogle Generative AI

Set api at provider level (default for all models) or model level (override per model).

FieldDescription
baseUrlAPI endpoint URL
apiAPI type (see above)
apiKeyAPI key (see value resolution below)
headersCustom headers (see value resolution below)
authHeaderSet true to add Authorization: Bearer <apiKey> automatically
modelsArray of model configurations
modelOverridesPer-model overrides for built-in models on this provider

The apiKey and headers fields support three formats:

  • Shell command: "!command" executes and uses stdout
    "apiKey": "!security find-generic-password -ws 'anthropic'"
    "apiKey": "!op read 'op://vault/item/credential'"
  • Environment variable: Uses the value of the named variable
    "apiKey": "MY_API_KEY"
  • Literal value: Used directly
    "apiKey": "sk-..."

Shell commands (!command) are restricted to a set of known credential tools. Only commands starting with one of these are allowed to execute:

pass, op, aws, gcloud, vault, security, gpg, bw, gopass, lpass

Commands not on this list are blocked and the value resolves to undefined. A warning is written to stderr.

Shell operators (;, |, &, `, $, >, <) are also blocked in command arguments to prevent injection.

Customizing the allowlist:

If you use a credential tool not on the default list, override it in global settings (~/.gsd/agent/settings.json):

{
"allowedCommandPrefixes": ["pass", "op", "sops", "doppler", "mycli"]
}

This replaces the default list entirely — include any defaults you still want.

Alternatively, set the GSD_ALLOWED_COMMAND_PREFIXES environment variable (comma-separated). The env var takes precedence over settings.json:

Terminal window
export GSD_ALLOWED_COMMAND_PREFIXES="pass,op,sops,doppler"

Note: This setting is global-only. Project-level settings.json (<project>/.gsd/settings.json) cannot override the command allowlist — this prevents a cloned repo from escalating command execution privileges.

{
"providers": {
"custom-proxy": {
"baseUrl": "https://proxy.example.com/v1",
"apiKey": "MY_API_KEY",
"api": "anthropic-messages",
"headers": {
"x-portkey-api-key": "PORTKEY_API_KEY",
"x-secret": "!op read 'op://vault/item/secret'"
},
"models": [...]
}
}
}
FieldRequiredDefaultDescription
idYesModel identifier (passed to the API)
nameNoidHuman-readable model label. Used for matching (--model patterns) and shown in model details/status text.
apiNoprovider’s apiOverride provider’s API for this model
reasoningNofalseSupports extended thinking
inputNo["text"]Input types: ["text"] or ["text", "image"]
contextWindowNo128000Context window size in tokens
maxTokensNo16384Maximum output tokens
costNoall zeros{"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0} (per million tokens)
compatNoprovider compatOpenAI compatibility overrides. Merged with provider-level compat when both are set.

Current behavior:

  • /model and --list-models list entries by model id.
  • The configured name is used for model matching and detail/status text.

Route a built-in provider through a proxy without redefining models:

{
"providers": {
"anthropic": {
"baseUrl": "https://my-proxy.example.com/v1"
}
}
}

All built-in Anthropic models remain available. Existing OAuth or API key auth continues to work.

To merge custom models into a built-in provider, include the models array:

{
"providers": {
"anthropic": {
"baseUrl": "https://my-proxy.example.com/v1",
"apiKey": "ANTHROPIC_API_KEY",
"api": "anthropic-messages",
"models": [...]
}
}
}

Merge semantics:

  • Built-in models are kept.
  • Custom models are upserted by id within the provider.
  • If a custom model id matches a built-in model id, the custom model replaces that built-in model.
  • If a custom model id is new, it is added alongside built-in models.

Use modelOverrides to customize specific built-in models without replacing the provider’s full model list.

{
"providers": {
"openrouter": {
"modelOverrides": {
"anthropic/claude-sonnet-4": {
"name": "Claude Sonnet 4 (Bedrock Route)",
"compat": {
"openRouterRouting": {
"only": ["amazon-bedrock"]
}
}
}
}
}
}
}

modelOverrides supports these fields per model: name, reasoning, input, cost (partial), contextWindow, maxTokens, headers, compat.

Behavior notes:

  • modelOverrides are applied to built-in provider models.
  • Unknown model IDs are ignored.
  • You can combine provider-level baseUrl/headers with modelOverrides.
  • If models is also defined for a provider, custom models are merged after built-in overrides. A custom model with the same id replaces the overridden built-in model entry.

For providers with partial OpenAI compatibility, use the compat field.

  • Provider-level compat applies defaults to all models under that provider.
  • Model-level compat overrides provider-level values for that model.
{
"providers": {
"local-llm": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"compat": {
"supportsUsageInStreaming": false,
"maxTokensField": "max_tokens"
},
"models": [...]
}
}
}
FieldDescription
supportsStoreProvider supports store field
supportsDeveloperRoleUse developer vs system role
supportsReasoningEffortSupport for reasoning_effort parameter
reasoningEffortMapMap GSD thinking levels to provider-specific reasoning_effort values
supportsUsageInStreamingSupports stream_options: { include_usage: true } (default: true)
maxTokensFieldUse max_completion_tokens or max_tokens
requiresToolResultNameInclude name on tool result messages
requiresAssistantAfterToolResultInsert an assistant message before a user message after tool results
requiresThinkingAsTextConvert thinking blocks to plain text
thinkingFormatUse reasoning_effort, zai, qwen, or qwen-chat-template thinking parameters
supportsStrictModeInclude the strict field in tool definitions
openRouterRoutingOpenRouter routing config passed to OpenRouter for model/provider selection
vercelGatewayRoutingVercel AI Gateway routing config for provider selection (only, order)

qwen uses top-level enable_thinking. Use qwen-chat-template for local Qwen-compatible servers that require chat_template_kwargs.enable_thinking.

Example:

{
"providers": {
"openrouter": {
"baseUrl": "https://openrouter.ai/api/v1",
"apiKey": "OPENROUTER_API_KEY",
"api": "openai-completions",
"models": [
{
"id": "openrouter/anthropic/claude-3.5-sonnet",
"name": "OpenRouter Claude 3.5 Sonnet",
"compat": {
"openRouterRouting": {
"order": ["anthropic"],
"fallbacks": ["openai"]
}
}
}
]
}
}
}

Vercel AI Gateway example:

{
"providers": {
"vercel-ai-gateway": {
"baseUrl": "https://ai-gateway.vercel.sh/v1",
"apiKey": "AI_GATEWAY_API_KEY",
"api": "openai-completions",
"models": [
{
"id": "moonshotai/kimi-k2.5",
"name": "Kimi K2.5 (Fireworks via Vercel)",
"reasoning": true,
"input": ["text", "image"],
"cost": { "input": 0.6, "output": 3, "cacheRead": 0, "cacheWrite": 0 },
"contextWindow": 262144,
"maxTokens": 262144,
"compat": {
"vercelGatewayRouting": {
"only": ["fireworks", "novita"],
"order": ["fireworks", "novita"]
}
}
}
]
}
}
}