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fix: implement OpenAI-compatible generation for 5 AI stubs (#450) #467

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fix: implement OpenAI-compatible generation for 5 AI stubs (#450) #467

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40 changes: 37 additions & 3 deletions packages/ai/cohere/src/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,51 @@ interface Config {
baseUrl?: string;
}

const DEFAULT_BASE = 'https://api.cohere.ai';
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@greptile-apps greptile-apps Bot May 29, 2026

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P1 Wrong base URL path for Cohere's OpenAI-compatible endpoint

Cohere's OpenAI-compatible chat completions endpoint is at https://api.cohere.ai/compatibility/v1/chat/completions, not https://api.cohere.ai/v1/chat/completions. The current DEFAULT_BASE will produce requests to the wrong path, which will fail at runtime. The official Cohere compatibility docs confirm this path.


export default defineAi<Config>({
id: 'ai-cohere',
label: 'Cohere',
defaultModel: 'command-r-plus',
models: ['command-r-plus'],

async generate(ctx, prompt, _opts, _config) {
async generate(ctx, prompt, opts, config) {
const apiKey = ctx.secret('COHERE_API_KEY');
if (!apiKey) throw new Error('COHERE_API_KEY not in vault — run `sh1pt promote ai setup`');
ctx.log(`[stub] ai-cohere · ${prompt.length} chars in — integration pending`);
return { text: '[stub — ai-cohere integration not yet implemented]', model: 'command-r-plus' };
const model = opts.model ?? 'command-r-plus';
ctx.log(`cohere · model=${model} · ${prompt.length} chars in`);
if (ctx.dryRun) return { text: '[dry-run]', model };

const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: 'system', content: opts.system });
messages.push({ role: 'user', content: prompt });

const res = await fetch(`${config.baseUrl ?? DEFAULT_BASE}/v1/chat/completions`, {
method: 'POST',
headers: {
authorization: `Bearer ${apiKey}`,
'content-type': 'application/json',
},
body: JSON.stringify({
model,
messages,
...(opts.maxTokens !== undefined ? { max_tokens: opts.maxTokens } : {}),
...(opts.temperature !== undefined ? { temperature: opts.temperature } : {}),
...opts.extra,
}),
});
if (!res.ok) throw new Error(`Cohere ${res.status}: ${(await res.text()).slice(0, 200)}`);
const data = (await res.json()) as {
choices: Array<{ message?: { content?: string } }>;
model: string;
usage?: { prompt_tokens?: number; completion_tokens?: number };
};
return {
text: data.choices[0]?.message?.content ?? '',
model: data.model,
inputTokens: data.usage?.prompt_tokens,
outputTokens: data.usage?.completion_tokens,
};
},

setup: tokenSetup<Config>({
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40 changes: 37 additions & 3 deletions packages/ai/kimi/src/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,51 @@ interface Config {
baseUrl?: string;
}

const DEFAULT_BASE = 'https://api.moonshot.cn';

export default defineAi<Config>({
id: 'ai-kimi',
label: 'Kimi (Moonshot)',
defaultModel: 'kimi-k2-0905-preview',
models: ['kimi-k2-0905-preview'],

async generate(ctx, prompt, _opts, _config) {
async generate(ctx, prompt, opts, config) {
const apiKey = ctx.secret('MOONSHOT_API_KEY');
if (!apiKey) throw new Error('MOONSHOT_API_KEY not in vault — run `sh1pt promote ai setup`');
ctx.log(`[stub] ai-kimi · ${prompt.length} chars in — integration pending`);
return { text: '[stub — ai-kimi integration not yet implemented]', model: 'kimi-k2-0905-preview' };
const model = opts.model ?? 'kimi-k2-0905-preview';
ctx.log(`kimi · model=${model} · ${prompt.length} chars in`);
if (ctx.dryRun) return { text: '[dry-run]', model };

const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: 'system', content: opts.system });
messages.push({ role: 'user', content: prompt });

const res = await fetch(`${config.baseUrl ?? DEFAULT_BASE}/v1/chat/completions`, {
method: 'POST',
headers: {
authorization: `Bearer ${apiKey}`,
'content-type': 'application/json',
},
body: JSON.stringify({
model,
messages,
...(opts.maxTokens !== undefined ? { max_tokens: opts.maxTokens } : {}),
...(opts.temperature !== undefined ? { temperature: opts.temperature } : {}),
...opts.extra,
}),
});
if (!res.ok) throw new Error(`Moonshot ${res.status}: ${(await res.text()).slice(0, 200)}`);
const data = (await res.json()) as {
choices: Array<{ message?: { content?: string } }>;
model: string;
usage?: { prompt_tokens?: number; completion_tokens?: number };
};
return {
text: data.choices[0]?.message?.content ?? '',
model: data.model,
inputTokens: data.usage?.prompt_tokens,
outputTokens: data.usage?.completion_tokens,
};
},

setup: tokenSetup<Config>({
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40 changes: 37 additions & 3 deletions packages/ai/novita/src/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,51 @@ interface Config {
baseUrl?: string;
}

const DEFAULT_BASE = 'https://api.novita.ai';

export default defineAi<Config>({
id: 'ai-novita',
label: 'NovitaAI',
defaultModel: 'meta-llama/llama-3.3-70b-instruct',
models: ['meta-llama/llama-3.3-70b-instruct'],

async generate(ctx, prompt, _opts, _config) {
async generate(ctx, prompt, opts, config) {
const apiKey = ctx.secret('NOVITA_API_KEY');
if (!apiKey) throw new Error('NOVITA_API_KEY not in vault — run `sh1pt promote ai setup`');
ctx.log(`[stub] ai-novita · ${prompt.length} chars in — integration pending`);
return { text: '[stub — ai-novita integration not yet implemented]', model: 'meta-llama/llama-3.3-70b-instruct' };
const model = opts.model ?? 'meta-llama/llama-3.3-70b-instruct';
ctx.log(`novita · model=${model} · ${prompt.length} chars in`);
if (ctx.dryRun) return { text: '[dry-run]', model };

const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: 'system', content: opts.system });
messages.push({ role: 'user', content: prompt });

const res = await fetch(`${config.baseUrl ?? DEFAULT_BASE}/v1/chat/completions`, {
method: 'POST',
headers: {
authorization: `Bearer ${apiKey}`,
'content-type': 'application/json',
},
body: JSON.stringify({
model,
messages,
...(opts.maxTokens !== undefined ? { max_tokens: opts.maxTokens } : {}),
...(opts.temperature !== undefined ? { temperature: opts.temperature } : {}),
...opts.extra,
}),
});
if (!res.ok) throw new Error(`NovitaAI ${res.status}: ${(await res.text()).slice(0, 200)}`);
const data = (await res.json()) as {
choices: Array<{ message?: { content?: string } }>;
model: string;
usage?: { prompt_tokens?: number; completion_tokens?: number };
};
return {
text: data.choices[0]?.message?.content ?? '',
model: data.model,
inputTokens: data.usage?.prompt_tokens,
outputTokens: data.usage?.completion_tokens,
};
},

setup: tokenSetup<Config>({
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54 changes: 44 additions & 10 deletions packages/ai/parasail/src/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,25 +4,59 @@ interface Config {
baseUrl?: string;
}

const DEFAULT_BASE = 'https://api.parasail.io';

export default defineAi<Config>({
id: 'ai-parasail',
label: 'Parasail',
defaultModel: 'PARASAIL_API_KEY',
models: ['PARASAIL_API_KEY'],
defaultModel: 'gpt-4o',
models: ['gpt-4o', 'gpt-4o-mini'],

async generate(ctx, prompt, opts, config) {
const apiKey = ctx.secret('PARASAIL_API_KEY');
if (!apiKey) throw new Error('PARASAIL_API_KEY not in vault — run `sh1pt promote ai setup`');
const model = opts.model ?? 'gpt-4o';
ctx.log(`parasail · model=${model} · ${prompt.length} chars in`);
if (ctx.dryRun) return { text: '[dry-run]', model };

const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: 'system', content: opts.system });
messages.push({ role: 'user', content: prompt });

async generate(ctx, prompt, _opts, _config) {
const apiKey = ctx.secret('https://parasail.io');
if (!apiKey) throw new Error('https://parasail.io not in vault — run `sh1pt promote ai setup`');
ctx.log(`[stub] ai-parasail · ${prompt.length} chars in — integration pending`);
return { text: '[stub — ai-parasail integration not yet implemented]', model: 'PARASAIL_API_KEY' };
const res = await fetch(`${config.baseUrl ?? DEFAULT_BASE}/v1/chat/completions`, {
method: 'POST',
headers: {
authorization: `Bearer ${apiKey}`,
'content-type': 'application/json',
},
body: JSON.stringify({
model,
messages,
...(opts.maxTokens !== undefined ? { max_tokens: opts.maxTokens } : {}),
...(opts.temperature !== undefined ? { temperature: opts.temperature } : {}),
...opts.extra,
}),
});
if (!res.ok) throw new Error(`Parasail ${res.status}: ${(await res.text()).slice(0, 200)}`);
const data = (await res.json()) as {
choices: Array<{ message?: { content?: string } }>;
model: string;
usage?: { prompt_tokens?: number; completion_tokens?: number };
};
return {
text: data.choices[0]?.message?.content ?? '',
model: data.model,
inputTokens: data.usage?.prompt_tokens,
outputTokens: data.usage?.completion_tokens,
};
},

setup: tokenSetup<Config>({
secretKey: 'https://parasail.io',
secretKey: 'PARASAIL_API_KEY',
label: 'Parasail',
vendorDocUrl: '',
vendorDocUrl: 'https://parasail.io',
steps: [
'Sign in at and create an API key',
'Sign in at https://parasail.io and create an API key',
'Copy the key — usually shown once',
'Paste below; sh1pt encrypts it in the vault',
],
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40 changes: 37 additions & 3 deletions packages/ai/venice/src/index.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,17 +4,51 @@ interface Config {
baseUrl?: string;
}

const DEFAULT_BASE = 'https://api.venice.ai';
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@greptile-apps greptile-apps Bot May 29, 2026

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P1 Wrong base URL path for Venice API

The Venice API base URL is https://api.venice.ai/api/v1, not https://api.venice.ai/v1. With the current DEFAULT_BASE, every request will be sent to https://api.venice.ai/v1/chat/completions, which does not exist and will return a 404. The official Venice docs confirm the base URL as https://api.venice.ai/api/v1.


export default defineAi<Config>({
id: 'ai-venice',
label: 'Venice AI',
defaultModel: 'llama-3.3-70b',
models: ['llama-3.3-70b'],

async generate(ctx, prompt, _opts, _config) {
async generate(ctx, prompt, opts, config) {
const apiKey = ctx.secret('VENICE_API_KEY');
if (!apiKey) throw new Error('VENICE_API_KEY not in vault — run `sh1pt promote ai setup`');
ctx.log(`[stub] ai-venice · ${prompt.length} chars in — integration pending`);
return { text: '[stub — ai-venice integration not yet implemented]', model: 'llama-3.3-70b' };
const model = opts.model ?? 'llama-3.3-70b';
ctx.log(`venice · model=${model} · ${prompt.length} chars in`);
if (ctx.dryRun) return { text: '[dry-run]', model };

const messages: Array<{ role: string; content: string }> = [];
if (opts.system) messages.push({ role: 'system', content: opts.system });
messages.push({ role: 'user', content: prompt });

const res = await fetch(`${config.baseUrl ?? DEFAULT_BASE}/v1/chat/completions`, {
method: 'POST',
headers: {
authorization: `Bearer ${apiKey}`,
'content-type': 'application/json',
},
body: JSON.stringify({
model,
messages,
...(opts.maxTokens !== undefined ? { max_tokens: opts.maxTokens } : {}),
...(opts.temperature !== undefined ? { temperature: opts.temperature } : {}),
...opts.extra,
}),
});
if (!res.ok) throw new Error(`Venice ${res.status}: ${(await res.text()).slice(0, 200)}`);
const data = (await res.json()) as {
choices: Array<{ message?: { content?: string } }>;
model: string;
usage?: { prompt_tokens?: number; completion_tokens?: number };
};
return {
text: data.choices[0]?.message?.content ?? '',
model: data.model,
inputTokens: data.usage?.prompt_tokens,
outputTokens: data.usage?.completion_tokens,
};
},

setup: tokenSetup<Config>({
Expand Down