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...

9 Commits

Author SHA1 Message Date
Aiden Cline 84dd56ed34 fix(core): bound outbound image history (#39929) 2026-07-31 13:57:04 -05:00
opencode-agent[bot] f92e490bb6 fix(tui): preserve diff hunk boundaries (#39693)
Co-authored-by: James Long <17031+jlongster@users.noreply.github.com>
2026-07-31 14:47:36 -04:00
Kit Langton 0481dba88e fix(tui): improve narrow layouts (#39918) 2026-07-31 14:44:13 -04:00
Kit Langton dd0e41c633 fix(tui): render plugin slots and routes with component semantics (#39917) 2026-07-31 14:30:57 -04:00
opencode-agent[bot] b69e51d835 refactor(ai): simplify provider options (#39924)
Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com>
2026-07-31 13:27:32 -05:00
opencode-agent[bot] e60e8d9387 refactor(core): rename attachments config to media (#39927)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-07-31 13:26:53 -05:00
Kit Langton 3bfce3fd2d feat(tui): expand pasted text (#39920) 2026-07-31 18:17:35 +00:00
Aiden Cline b498a5c6c4 feat(ai): expand OpenRouter native support (#39907) 2026-07-31 12:57:18 -05:00
Kit Langton db9e942398 fix(core): resize large image attachments (#39919) 2026-07-31 13:24:05 -04:00
38 changed files with 1040 additions and 201 deletions
+2 -1
View File
@@ -38,7 +38,7 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
// Protocols whose wire format ignores inline cache markers (OpenAI's implicit
// prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
// whole policy pass for these — emitting hints would be harmless but pointless.
const RESPECTS_INLINE_HINTS = new Set(["anthropic-messages", "bedrock-converse"])
const RESPECTS_INLINE_HINTS = new Set(["anthropic-messages", "bedrock-converse", "openrouter"])
const makeHint = (ttlSeconds: number | undefined): CacheHint =>
ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
@@ -133,6 +133,7 @@ const countHints = (request: LLMRequest) =>
export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
if (request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto")) return request
const policy = resolve(request.cache)
if (!policy.tools && !policy.system && !policy.messages) return request
+120 -25
View File
@@ -11,6 +11,7 @@ import {
Usage,
type FinishReason,
type FinishReasonDetails,
type CacheHint,
type JsonSchema,
type LLMRequest,
type MediaPart,
@@ -38,6 +39,11 @@ export const PATH = "/chat/completions"
// The body schema is the provider-native JSON body. `fromRequest` below builds
// this shape from the common `LLMRequest`, then `Route.make` validates and
// JSON-encodes it before transport.
const OpenAIChatCacheControl = Schema.Struct({
type: Schema.Literal("ephemeral"),
ttl: Schema.optional(Schema.String),
})
const OpenAIChatFunction = Schema.Struct({
name: Schema.String,
description: Schema.String,
@@ -47,6 +53,7 @@ const OpenAIChatFunction = Schema.Struct({
const OpenAIChatTool = Schema.Struct({
type: Schema.tag("function"),
function: OpenAIChatFunction,
cache_control: Schema.optional(OpenAIChatCacheControl),
})
type OpenAIChatTool = Schema.Schema.Type<typeof OpenAIChatTool>
@@ -61,7 +68,11 @@ const OpenAIChatAssistantToolCall = Schema.Struct({
type OpenAIChatAssistantToolCall = Schema.Schema.Type<typeof OpenAIChatAssistantToolCall>
const OpenAIChatUserContent = Schema.Union([
Schema.Struct({ type: Schema.Literal("text"), text: Schema.String }),
Schema.Struct({
type: Schema.Literal("text"),
text: Schema.String,
cache_control: Schema.optional(OpenAIChatCacheControl),
}),
Schema.Struct({
type: Schema.Literal("image_url"),
image_url: Schema.Struct({ url: Schema.String }),
@@ -69,7 +80,10 @@ const OpenAIChatUserContent = Schema.Union([
])
const OpenAIChatMessage = Schema.Union([
Schema.Struct({ role: Schema.Literal("system"), content: Schema.String }),
Schema.Struct({
role: Schema.Literal("system"),
content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),
}),
Schema.Struct({
role: Schema.Literal("user"),
content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),
@@ -83,10 +97,16 @@ const OpenAIChatMessage = Schema.Union([
reasoning: Schema.optional(Schema.String),
reasoning_text: Schema.optional(Schema.String),
reasoning_details: Schema.optional(Schema.Unknown),
cache_control: Schema.optional(OpenAIChatCacheControl),
}),
[Schema.Record(Schema.String, Schema.Unknown)],
),
Schema.Struct({ role: Schema.Literal("tool"), tool_call_id: Schema.String, content: Schema.String }),
Schema.Struct({
role: Schema.Literal("tool"),
tool_call_id: Schema.String,
content: Schema.String,
cache_control: Schema.optional(OpenAIChatCacheControl),
}),
]).pipe(Schema.toTaggedUnion("role"))
type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -210,13 +230,20 @@ export interface ParserState {
// Lowering is the only place that knows how common LLM messages map onto the
// OpenAI Chat wire format. Keep provider quirks here instead of leaking native
// fields into `LLMRequest`.
const lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema): OpenAIChatTool => ({
interface LoweringOptions {
readonly cacheControl?: (
cache: CacheHint | undefined,
) => Schema.Schema.Type<typeof OpenAIChatCacheControl> | undefined
}
const lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema, options: LoweringOptions): OpenAIChatTool => ({
type: "function",
function: {
name: tool.name,
description: tool.description,
parameters: ToolSchemaProjection.openAI(inputSchema),
},
cache_control: options.cacheControl?.(tool.cache),
})
const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
@@ -258,11 +285,14 @@ const reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown)
if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details
}
const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (message: OpenAIChatRequestMessage) {
const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (
message: OpenAIChatRequestMessage,
options: LoweringOptions,
) {
const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
for (const part of message.content) {
if (part.type === "text") {
content.push({ type: "text", text: part.text })
content.push({ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) })
continue
}
if (part.type === "media") {
@@ -271,14 +301,18 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (mes
}
return yield* ProviderShared.unsupportedContent("OpenAI Chat", "user", ["text", "media"])
}
if (content.every((part) => part.type === "text"))
return { role: "user" as const, content: content.map((part) => part.text).join("") }
if (content.every((part) => part.type === "text" && part.cache_control === undefined))
return {
role: "user" as const,
content: content.map((part) => (part.type === "text" ? part.text : "")).join(""),
}
return { role: "user" as const, content }
})
const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
message: OpenAIChatRequestMessage,
configuredField?: string,
options: LoweringOptions = {},
) {
const content: TextPart[] = []
const reasoning: ReasoningPart[] = []
@@ -316,29 +350,44 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
if (reasoning.length === 0) return nativeReasoning
return text
})()
const cached = message.content.findLast((part) => "cache" in part && part.cache !== undefined)
const result = {
role: "assistant" as const,
content: content.length === 0 ? null : ProviderShared.joinText(content),
tool_calls: toolCalls.length === 0 ? undefined : toolCalls,
reasoning_details: details,
cache_control: options.cacheControl?.(cached && "cache" in cached ? cached.cache : undefined),
}
if (field === undefined || reasoningText === undefined) return result
return { ...result, [field]: reasoningText }
})
const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (message: OpenAIChatRequestMessage) {
const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (
message: OpenAIChatRequestMessage,
options: LoweringOptions,
) {
const messages: OpenAIChatMessage[] = []
const images: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
for (const part of message.content) {
if (!ProviderShared.supportsContent(part, ["tool-result"]))
return yield* ProviderShared.unsupportedContent("OpenAI Chat", "tool", ["tool-result"])
if (part.result.type !== "content") {
messages.push({ role: "tool", tool_call_id: part.id, content: ProviderShared.toolResultText(part) })
messages.push({
role: "tool",
tool_call_id: part.id,
content: ProviderShared.toolResultText(part),
cache_control: options.cacheControl?.(part.cache),
})
continue
}
const content: ReadonlyArray<Tool.Content> = part.result.value
const text = content.filter((item) => item.type === "text").map((item) => item.text)
messages.push({ role: "tool", tool_call_id: part.id, content: text.join("\n") })
messages.push({
role: "tool",
tool_call_id: part.id,
content: text.join("\n"),
cache_control: options.cacheControl?.(part.cache),
})
const files = content.filter((item) => item.type === "file")
images.push(
...(yield* Effect.forEach(files, (item) =>
@@ -352,15 +401,29 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (m
const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
message: OpenAIChatRequestMessage,
reasoningField?: string,
options: LoweringOptions = {},
) {
if (message.role === "user") return [yield* lowerUserMessage(message)]
if (message.role === "assistant") return [yield* lowerAssistantMessage(message, reasoningField)]
return (yield* lowerToolMessages(message)).messages
if (message.role === "user") return [yield* lowerUserMessage(message, options)]
if (message.role === "assistant") return [yield* lowerAssistantMessage(message, reasoningField, options)]
return (yield* lowerToolMessages(message, options)).messages
})
const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest) {
const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request: LLMRequest, options: LoweringOptions) {
const system: OpenAIChatMessage[] =
request.system.length === 0 ? [] : [{ role: "system", content: ProviderShared.joinText(request.system) }]
request.system.length === 0
? []
: request.system.some((part) => part.cache !== undefined) && options.cacheControl !== undefined
? [
{
role: "system",
content: request.system.map((part) => ({
type: "text",
text: part.text,
cache_control: options.cacheControl?.(part.cache),
})),
},
]
: [{ role: "system", content: ProviderShared.joinText(request.system) }]
const messages = [...system]
const pendingImages: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
const flushImages = () => {
@@ -371,28 +434,53 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
if (message.role === "system") {
const part = yield* ProviderShared.wrappedSystemUpdate("OpenAI Chat", message)
if (pendingImages.length > 0) {
messages.push({ role: "user", content: [...pendingImages.splice(0), { type: "text", text: part.text }] })
messages.push({
role: "user",
content: [
...pendingImages.splice(0),
{ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
],
})
continue
}
const previous = messages.at(-1)
if (previous?.role === "user" && typeof previous.content === "string")
messages[messages.length - 1] = { role: "user", content: `${previous.content}\n${part.text}` }
messages[messages.length - 1] = options.cacheControl?.(part.cache)
? {
role: "user",
content: [
{ type: "text", text: previous.content },
{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) },
],
}
: { role: "user", content: `${previous.content}\n${part.text}` }
else if (previous?.role === "user" && Array.isArray(previous.content))
messages[messages.length - 1] = {
role: "user",
content: [...previous.content, { type: "text", text: part.text }],
content: [
...previous.content,
{ type: "text", text: part.text, cache_control: options.cacheControl?.(part.cache) },
],
}
else messages.push({ role: "user", content: part.text })
else
messages.push(
options.cacheControl?.(part.cache)
? {
role: "user",
content: [{ type: "text", text: part.text, cache_control: options.cacheControl(part.cache) }],
}
: { role: "user", content: part.text },
)
continue
}
if (message.role === "tool") {
const lowered = yield* lowerToolMessages(message)
const lowered = yield* lowerToolMessages(message, options)
messages.push(...lowered.messages)
pendingImages.push(...lowered.images)
continue
}
flushImages()
messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField)))
messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField, options)))
}
flushImages()
return messages
@@ -406,7 +494,10 @@ const lowerOptions = (request: LLMRequest) => {
}
}
const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (request: LLMRequest) {
export const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (
request: LLMRequest,
options: LoweringOptions = {},
) {
// `fromRequest` returns the provider body only. Endpoint, auth, framing,
// validation, and HTTP execution are composed by `Route.make`.
const reasoningField = request.model.compatibility?.reasoningField
@@ -419,12 +510,16 @@ const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (request: LLMR
const maxTokensField = request.model.compatibility?.maxTokensField ?? "max_tokens"
return {
model: request.model.id,
messages: yield* lowerMessages(request),
messages: yield* lowerMessages(request, options),
tools:
request.tools.length === 0
? undefined
: request.tools.map((tool) =>
lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),
lowerTool(
tool,
ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility),
options,
),
),
tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,
stream: true as const,
+84 -10
View File
@@ -4,21 +4,72 @@ import { Endpoint } from "../route/endpoint"
import { Framing } from "../route/framing"
import { Protocol } from "../route/protocol"
import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
import { ProviderID, type CacheHint, type ModelID, type ProviderOptions } from "../schema"
import type { ProviderPackage } from "../provider-package"
import * as OpenAICompatibleProfiles from "./openai-compatible-profile"
import * as OpenAIChat from "../protocols/openai-chat"
import { newBreakpoints, ttlBucket } from "../protocols/utils/cache"
import { isRecord } from "../protocols/shared"
export const profile = OpenAICompatibleProfiles.profiles.openrouter
export const id = ProviderID.make(profile.provider)
const ADAPTER = "openrouter"
type OpenRouterString<Known extends string> = Known | (string & {})
export interface OpenRouterProviderRouting {
readonly [key: string]: unknown
readonly order?: ReadonlyArray<string>
readonly allow_fallbacks?: boolean
readonly require_parameters?: boolean
readonly data_collection?: OpenRouterString<"allow" | "deny">
readonly only?: ReadonlyArray<string>
readonly ignore?: ReadonlyArray<string>
readonly quantizations?: ReadonlyArray<string>
readonly sort?: OpenRouterString<"price" | "throughput" | "latency">
readonly max_price?: Readonly<{
prompt?: number | string
completion?: number | string
image?: number | string
audio?: number | string
request?: number | string
}>
readonly zdr?: boolean
}
export type OpenRouterPlugin =
| Readonly<{
id: "web"
max_results?: number
search_prompt?: string
engine?: OpenRouterString<"native" | "exa">
}>
| Readonly<{ id: "file-parser"; max_files?: number; pdf?: { engine?: string } }>
| Readonly<{ id: "moderation" }>
| Readonly<{ id: "response-healing" }>
| Readonly<{ id: "auto-router"; allowed_models?: ReadonlyArray<string> }>
| Readonly<{ id: string & {}; [key: string]: unknown }>
export interface OpenRouterOptions {
readonly [key: string]: unknown
readonly usage?: boolean | Record<string, unknown>
readonly reasoning?: Record<string, unknown>
readonly debug?: Readonly<{ echo_upstream_body?: boolean }>
readonly models?: ReadonlyArray<string>
readonly plugins?: ReadonlyArray<OpenRouterPlugin>
readonly promptCacheKey?: string
readonly provider?: OpenRouterProviderRouting
readonly reasoning?: Readonly<{
enabled?: boolean
exclude?: boolean
effort?: OpenRouterString<"none" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max">
max_tokens?: number
}>
readonly usage?: boolean | Readonly<{ include: boolean }>
readonly user?: string
readonly web_search_options?: Readonly<{
max_results?: number
search_prompt?: string
engine?: OpenRouterString<"native" | "exa">
}>
}
export type OpenRouterProviderOptionsInput = ProviderOptions & {
@@ -47,7 +98,7 @@ export const protocol = Protocol.make({
body: {
schema: OpenRouterBody,
from: (request) =>
OpenAIChat.protocol.body.from(request).pipe(
OpenAIChat.fromRequest(request, { cacheControl: cacheControl() }).pipe(
Effect.map((body) => {
const sourceAssistants = request.messages.filter((message) => message.role === "assistant")
let assistantIndex = 0
@@ -78,16 +129,39 @@ export const protocol = Protocol.make({
stream: OpenAIChat.protocol.stream,
})
const cacheControl = () => {
const breakpoints = newBreakpoints(4)
return (cache: CacheHint | undefined) => {
if (cache === undefined || breakpoints.remaining === 0) return undefined
breakpoints.remaining -= 1
return {
type: "ephemeral" as const,
...(ttlBucket(cache.ttlSeconds) === "1h" ? { ttl: "1h" } : {}),
}
}
}
const bodyOptions = (input: unknown) => {
const openrouter = isRecord(input) ? input : {}
const { usage, models, provider, plugins, web_search_options, debug, user, reasoning, promptCacheKey, ...options } =
openrouter
return {
...(openrouter.usage === true
...options,
...(usage === undefined || usage === true
? { usage: { include: true } }
: isRecord(openrouter.usage)
? { usage: openrouter.usage }
: {}),
...(isRecord(openrouter.reasoning) ? { reasoning: openrouter.reasoning } : {}),
...(typeof openrouter.promptCacheKey === "string" ? { prompt_cache_key: openrouter.promptCacheKey } : {}),
: usage === false
? { usage: { include: false } }
: isRecord(usage)
? { usage }
: {}),
...(Array.isArray(models) ? { models } : {}),
...(isRecord(provider) ? { provider } : {}),
...(Array.isArray(plugins) ? { plugins } : {}),
...(isRecord(web_search_options) ? { web_search_options } : {}),
...(isRecord(debug) ? { debug } : {}),
...(typeof user === "string" ? { user } : {}),
...(isRecord(reasoning) ? { reasoning } : {}),
...(typeof promptCacheKey === "string" ? { prompt_cache_key: promptCacheKey } : {}),
}
}
+2
View File
@@ -124,6 +124,7 @@ export const ToolCallPart = Object.assign(
name: Schema.String,
input: Schema.Unknown,
providerExecuted: Schema.optional(Schema.Boolean),
cache: Schema.optional(CacheHint),
metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
providerMetadata: Schema.optional(ProviderMetadata),
}).annotate({ identifier: "LLM.Content.ToolCall" }),
@@ -168,6 +169,7 @@ export const ReasoningPart = Schema.Struct({
type: Schema.Literal("reasoning"),
text: Schema.String,
encrypted: Schema.optional(Schema.String),
cache: Schema.optional(CacheHint),
metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
providerMetadata: Schema.optional(ProviderMetadata),
}).annotate({ identifier: "LLM.Content.Reasoning" })
@@ -5,6 +5,28 @@ const model = OpenRouter.provider.model("anthropic/claude-sonnet-4.5")
LLM.request({ model, prompt: "Hello", providerOptions: { openrouter: { usage: true } } })
LLM.request({
model,
prompt: "Hello",
providerOptions: {
openrouter: {
models: ["google/gemini-3.1-pro"],
provider: {
order: ["anthropic"],
require_parameters: true,
data_collection: "future-policy",
sort: "future-sort",
max_price: { prompt: "0.50" },
},
reasoning: { effort: "future-effort", exclude: false },
plugins: [{ id: "future-plugin", enabled: true }],
web_search_options: { engine: "future-engine" },
debug: { echo_upstream_body: true },
user: "user_123",
},
},
})
LLM.request({
model,
prompt: "Hello",
+177 -1
View File
@@ -1,6 +1,6 @@
import { describe, expect } from "bun:test"
import { Effect } from "effect"
import { LLM, Message } from "../../src"
import { CacheHint, LLM, Message } from "../../src"
import { LLMClient } from "../../src/route"
import { compileRequest } from "../../src/route/client"
import * as OpenRouter from "../../src/providers/openrouter"
@@ -27,10 +27,131 @@ describe("OpenRouter", () => {
model: "openai/gpt-4o-mini",
messages: [{ role: "user", content: "Say hello." }],
stream: true,
usage: { include: true },
})
}),
)
it.effect("lowers the native cache policy to OpenRouter cache controls", () =>
Effect.gen(function* () {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
system: [
{ type: "text", text: "Base agent", cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }) },
{ type: "text", text: "Project instructions" },
],
tools: [{ name: "lookup", description: "Lookup", inputSchema: { type: "object", properties: {} } }],
prompt: "Hello",
cache: { tools: true, system: true, messages: { tail: 1 } },
}),
)
expect(prepared.body).toMatchObject({
tools: [{ cache_control: { type: "ephemeral" } }],
messages: [
{
role: "system",
content: [
{ text: "Base agent", cache_control: { type: "ephemeral", ttl: "1h" } },
{ text: "Project instructions", cache_control: { type: "ephemeral" } },
],
},
{
role: "user",
content: [{ text: "Hello", cache_control: { type: "ephemeral" } }],
},
],
})
}),
)
it.effect("lowers manual assistant and tool-result cache hints", () =>
Effect.gen(function* () {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
messages: [
Message.user("Call the tool"),
Message.assistant([
{ type: "text", text: "Calling", cache: new CacheHint({ type: "ephemeral" }) },
{ type: "tool-call", id: "call_1", name: "lookup", input: {} },
]),
Message.tool({
id: "call_1",
name: "lookup",
result: "Done",
cache: new CacheHint({ type: "ephemeral", ttlSeconds: 3_600 }),
}),
],
}),
)
expect(prepared.body.messages).toMatchObject([
{ role: "user", content: "Call the tool" },
{ role: "assistant", content: "Calling", cache_control: { type: "ephemeral" } },
{ role: "tool", content: '"Done"', cache_control: { type: "ephemeral", ttl: "1h" } },
])
}),
)
it.effect("caps manual cache controls at four breakpoints", () =>
Effect.gen(function* () {
const cache = new CacheHint({ type: "ephemeral" })
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
system: [1, 2, 3, 4, 5].map((index) => ({ type: "text" as const, text: `System ${index}`, cache })),
prompt: "Hello",
}),
)
const system = prepared.body.messages[0]
expect(system?.role).toBe("system")
expect(
system && Array.isArray(system.content)
? system.content.filter((part) => "cache_control" in part && part.cache_control !== undefined)
: [],
).toHaveLength(4)
}),
)
it.effect("preserves cache policy hints on reasoning-only assistant messages", () =>
Effect.gen(function* () {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: { messages: "latest-assistant" },
messages: [Message.user("Think"), Message.assistant([{ type: "reasoning", text: "Reasoning" }])],
}),
)
expect(prepared.body.messages).toMatchObject([
{ role: "user", content: "Think" },
{ role: "assistant", cache_control: { type: "ephemeral" } },
])
}),
)
it.effect("allows usage accounting to be disabled explicitly", () =>
Effect.gen(function* () {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({
apiKey: "test-key",
providerOptions: { openrouter: { usage: false } },
}).model("openai/gpt-4o-mini"),
cache: "none",
prompt: "Hello",
}),
)
expect(prepared.body.usage).toEqual({ include: false })
}),
)
it.effect("applies OpenRouter payload options from the model helper", () =>
Effect.gen(function* () {
const prepared = yield* compileRequest(
@@ -42,6 +163,13 @@ describe("OpenRouter", () => {
usage: true,
reasoning: { effort: "high" },
promptCacheKey: "session_123",
models: ["anthropic/claude-sonnet-4.6", "google/gemini-3.1-pro"],
provider: { order: ["anthropic", "google"], require_parameters: true },
plugins: [{ id: "response-healing" }],
web_search_options: { engine: "native", max_results: 3 },
debug: { echo_upstream_body: true },
user: "user_123",
future_option: { enabled: true },
},
},
}).model("anthropic/claude-3.7-sonnet:thinking"),
@@ -53,10 +181,54 @@ describe("OpenRouter", () => {
usage: { include: true },
reasoning: { effort: "high" },
prompt_cache_key: "session_123",
models: ["anthropic/claude-sonnet-4.6", "google/gemini-3.1-pro"],
provider: { order: ["anthropic", "google"], require_parameters: true },
plugins: [{ id: "response-healing" }],
web_search_options: { engine: "native", max_results: 3 },
debug: { echo_upstream_body: true },
user: "user_123",
future_option: { enabled: true },
})
}),
)
it.effect("filters invalid known OpenRouter options while preserving extensions", () =>
Effect.gen(function* () {
const invalid: Record<string, unknown> = {
usage: "yes",
models: "anthropic/claude-sonnet-4.6",
provider: [],
plugins: {},
web_search_options: [],
debug: [],
user: 123,
reasoning: [],
promptCacheKey: 123,
future_option: { enabled: true },
}
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({
apiKey: "test-key",
providerOptions: { openrouter: invalid },
}).model("openai/gpt-4o-mini"),
prompt: "Hello",
}),
)
expect(prepared.body).toMatchObject({ future_option: { enabled: true } })
expect(prepared.body).not.toHaveProperty("usage")
expect(prepared.body).not.toHaveProperty("models")
expect(prepared.body).not.toHaveProperty("provider")
expect(prepared.body).not.toHaveProperty("plugins")
expect(prepared.body).not.toHaveProperty("web_search_options")
expect(prepared.body).not.toHaveProperty("debug")
expect(prepared.body).not.toHaveProperty("user")
expect(prepared.body).not.toHaveProperty("reasoning")
expect(prepared.body).not.toHaveProperty("prompt_cache_key")
}),
)
it.effect("preserves the upstream provider finish reason", () =>
Effect.gen(function* () {
const model = OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6")
@@ -104,6 +276,7 @@ describe("OpenRouter", () => {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
messages: [
Message.assistant([
{
@@ -137,6 +310,7 @@ describe("OpenRouter", () => {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
messages: [
Message.assistant({
type: "reasoning",
@@ -162,6 +336,7 @@ describe("OpenRouter", () => {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
messages: [
Message.assistant({
type: "reasoning",
@@ -183,6 +358,7 @@ describe("OpenRouter", () => {
const prepared = yield* compileRequest(
LLM.request({
model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
cache: "none",
messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
}),
)
+59 -18
View File
@@ -1,10 +1,13 @@
export * as AISDKNative from "./aisdk-native"
import { isRecord } from "@opencode-ai/ai/utils/record"
import { Provider } from "./provider"
export interface Mapping {
readonly package: string
readonly settings: Readonly<Record<string, unknown>>
readonly headers?: Readonly<Record<string, string>>
readonly body?: Readonly<Record<string, unknown>>
}
export function map(packageName: string | undefined, settings: Readonly<Record<string, unknown>>): Mapping | undefined {
@@ -20,14 +23,7 @@ export function map(packageName: string | undefined, settings: Readonly<Record<s
},
}
case "@openrouter/ai-sdk-provider":
return {
package: "@opencode-ai/ai/providers/openrouter",
settings: {
...baseSettings,
...mapAPIKey(settings),
...mapProviderOptions("openrouter", settings),
},
}
return mapOpenRouter(settings, baseSettings)
case "@ai-sdk/xai":
return {
package: "@opencode-ai/ai/providers/xai",
@@ -69,6 +65,61 @@ function mapGoogleOptions(settings: Readonly<Record<string, unknown>>) {
return { providerOptions: { gemini: options } }
}
function mapOpenRouter(
settings: Readonly<Record<string, unknown>>,
baseSettings: Readonly<Record<string, unknown>>,
): Mapping {
const headers =
Provider.mergeHeaders(
{
...(typeof settings.appName === "string" ? { "X-OpenRouter-Title": settings.appName } : {}),
...(typeof settings.appUrl === "string" ? { "HTTP-Referer": settings.appUrl } : {}),
...(isStringRecord(settings.api_keys) && Object.keys(settings.api_keys).length > 0
? { "X-Provider-API-Keys": JSON.stringify(settings.api_keys) }
: {}),
},
isStringRecord(settings.headers) ? settings.headers : undefined,
) ?? {}
return {
package: "@opencode-ai/ai/providers/openrouter",
settings: {
...baseSettings,
...mapAPIKey(settings),
...mapOpenRouterOptions(settings),
},
...(Object.keys(headers).length > 0 ? { headers } : {}),
...(isRecord(settings.extraBody) ? { body: settings.extraBody } : {}),
}
}
function mapOpenRouterOptions(settings: Readonly<Record<string, unknown>>) {
const options = Object.fromEntries(
Object.entries(settings).filter(
([key]) =>
![
"apiKey",
"api_keys",
"appName",
"appUrl",
"authToken",
"baseURL",
"chunkTimeout",
"compatibility",
"extraBody",
"fetch",
"headers",
"timeout",
].includes(key),
),
)
if (Object.keys(options).length === 0) return {}
return { providerOptions: { openrouter: options } }
}
function isStringRecord(value: unknown): value is Readonly<Record<string, string>> {
return isRecord(value) && Object.values(value).every((item) => typeof item === "string")
}
function mapXAIOptions(settings: Readonly<Record<string, unknown>>) {
const options = {
...(typeof settings.reasoningEffort === "string" ? { reasoningEffort: settings.reasoningEffort } : {}),
@@ -78,13 +129,3 @@ function mapXAIOptions(settings: Readonly<Record<string, unknown>>) {
if (Object.keys(options).length === 0) return {}
return { providerOptions: { xai: options } }
}
function mapProviderOptions(namespace: string, settings: Readonly<Record<string, unknown>>) {
const values = Object.fromEntries(
Object.entries(settings).filter(
([key]) => !["apiKey", "authToken", "baseURL", "chunkTimeout", "fetch", "timeout"].includes(key),
),
)
if (Object.keys(values).length === 0) return {}
return { providerOptions: { [namespace]: values } }
}
+3 -3
View File
@@ -16,7 +16,7 @@ import { Global } from "@opencode-ai/util/global"
import { Location } from "./location"
import { AbsolutePath } from "./schema"
import { ConfigAgent } from "./config/agent"
import { ConfigAttachments } from "./config/attachments"
import { ConfigMedia } from "./config/media"
import { ConfigCompaction } from "./config/compaction"
import { ConfigCommand } from "./config/command"
import { ConfigExperimental } from "./config/experimental"
@@ -85,8 +85,8 @@ export class Info extends Schema.Class<Info>("Config.Info")({
lsp: ConfigLSP.Info.pipe(Schema.optional).annotate({
description: "Enable built-in language servers or configure server overrides",
}),
attachments: ConfigAttachments.Info.pipe(Schema.optional).annotate({
description: "Attachment processing configuration",
media: ConfigMedia.Info.pipe(Schema.optional).annotate({
description: "Media processing configuration",
}),
tool_output: ConfigToolOutput.Info.pipe(Schema.optional).annotate({
description: "Tool output truncation thresholds",
@@ -1,15 +1,15 @@
export * as ConfigAttachments from "./attachments"
export * as ConfigMedia from "./media"
import { Schema } from "effect"
import { PositiveInt } from "../schema"
export class Image extends Schema.Class<Image>("Config.Attachments.Image")({
export class Image extends Schema.Class<Image>("Config.Media.Image")({
auto_resize: Schema.Boolean.pipe(Schema.optional),
max_width: PositiveInt.pipe(Schema.optional),
max_height: PositiveInt.pipe(Schema.optional),
max_base64_bytes: PositiveInt.pipe(Schema.optional),
}) {}
export class Info extends Schema.Class<Info>("Config.Attachments")({
export class Info extends Schema.Class<Info>("Config.Media")({
image: Image.pipe(Schema.optional),
}) {}
+1 -1
View File
@@ -61,7 +61,7 @@ const layer = Layer.effect(
const image = Object.assign(
{},
...(yield* config.entries()).flatMap((entry) =>
entry.type === "document" && entry.info.attachments?.image ? [entry.info.attachments.image] : [],
entry.type === "document" && entry.info.media?.image ? [entry.info.media.image] : [],
),
)
const normalize = yield* loadAdapter
+4 -9
View File
@@ -96,9 +96,7 @@ const providerHeaders = (model: Info) => {
return Provider.mergeHeaders(generated.size === 0 ? undefined : Object.fromEntries(generated), model.headers)
}
const providerOptions = (
model: Info,
): { readonly [key: string]: { readonly [key: string]: unknown } } | undefined => {
const providerOptions = (model: Info): { readonly [key: string]: { readonly [key: string]: unknown } } | undefined => {
if (!Provider.isAISDK(model.package) || model.settings === undefined) return undefined
const { apiKey: _, baseURL: _baseURL, ...settings } = model.settings
if (Object.keys(settings).length === 0) return undefined
@@ -202,8 +200,8 @@ export const fromCatalogModel = (
const settings = {
...(credential ? withoutNativeAuthSettings(mapped) : mapped),
...nativeCredentialSettings(specifier, credential),
headers: resolved.headers,
body: resolved.body,
headers: Provider.mergeHeaders(mapping?.headers, resolved.headers),
body: Provider.mergeOverlay(mapping?.body, resolved.body),
limits: { context: resolved.limit.context, input: resolved.limit.input, output: resolved.limit.output },
}
return yield* Effect.try({
@@ -266,10 +264,7 @@ export const layer = Layer.effect(
const integrations = yield* Integration.Service
const npm = yield* Npm.Service
const aisdk = yield* AISDK.Service
const load = Effect.fn("ModelResolver.resolveModel")(function* (
selected: Info,
variant?: VariantID,
) {
const load = Effect.fn("ModelResolver.resolveModel")(function* (selected: Info, variant?: VariantID) {
const provider = yield* catalog.provider.get(selected.providerID)
const connection = yield* integrations.connection.active(
provider?.integrationID ?? Integration.ID.make(selected.providerID),
+3 -3
View File
@@ -938,7 +938,7 @@ const materializeAttachment = Effect.fn("Session.materializeAttachment")(functio
: resolved.bytes
const normalized = yield* normalizeImageAttachment(
input,
Base64.make(Buffer.from(content).toString("base64")),
Buffer.from(content).toString("base64"),
mime,
image,
)
@@ -954,11 +954,11 @@ const materializeAttachment = Effect.fn("Session.materializeAttachment")(functio
const normalizeImageAttachment = Effect.fn("Session.normalizeImageAttachment")(function* (
input: PromptInput.FileAttachment,
data: Base64,
data: string,
mime: string,
image: Effect.Effect<Image.Interface>,
) {
if (!mime.startsWith("image/")) return { data, mime }
if (!mime.startsWith("image/")) return { data: Base64.make(data), mime }
const service = yield* image
const label = input.name ?? (input.uri.startsWith("data:") ? "inline attachment" : input.uri)
const content = { uri: label, content: data, encoding: "base64" as const, mime }
+1 -1
View File
@@ -71,7 +71,7 @@ export const layer = Layer.effect(
LLM.request({
model: model.model,
http: { headers: SessionModelHeaders.make(selection.session, app) },
providerOptions: { openai: { promptCacheKey } },
providerOptions: { [providerMetadataKey]: { promptCacheKey } },
system: contextEvent.system,
messages: contextEvent.messages,
tools: hookedTools,
+57 -2
View File
@@ -19,6 +19,11 @@ import { MAX_STEPS_PROMPT } from "./runner/max-steps"
import PROMPT_DEFAULT from "./runner/prompt/base.txt"
import { toLLMMessages } from "./runner/to-llm-message"
const IMAGE_BYTES_TRIGGER = 25 * 1024 * 1024 // 25 MiB
const IMAGE_BYTES_TARGET = 15 * 1024 * 1024 // 15 MiB
const IMAGE_REMOVED =
"[This image was removed to reduce the request size and is no longer visible. Do not make claims about its contents from memory. If needed, retrieve it again with an available tool or ask the user to attach it again.]"
/** Failures a prepared execution can surface: infrastructure errors plus user declines resurfaced from the defect tunnel. */
export type ExecuteError = Tool.Error | Permission.DeclinedError | QuestionTool.CancelledError
@@ -94,6 +99,56 @@ export const unsupportedParts = (messages: LLMRequest["messages"], capabilities:
}),
)
export const boundImages = (messages: LLMRequest["messages"]) => {
const isImage = (mime: string) => mime.toLowerCase().startsWith("image/")
const size = (data: string | Uint8Array) =>
typeof data === "string" ? Buffer.byteLength(data) : Math.ceil(data.byteLength / 3) * 4
const imageBytes = messages.reduce(
(total, message) =>
total +
message.content.reduce((sum, part) => {
if (part.type === "media" && isImage(part.mediaType)) return sum + size(part.data)
if (part.type !== "tool-result" || part.result.type !== "content") return sum
return (
sum +
part.result.value.reduce(
(bytes: number, item: Content) =>
bytes + (item.type === "file" && isImage(item.mime) ? Buffer.byteLength(item.uri) : 0),
0,
)
)
}, 0),
0,
)
if (imageBytes <= IMAGE_BYTES_TRIGGER) return messages
let removed = 0
return messages.map((message) =>
Message.make({
...message,
content: message.content.map((part) => {
if (part.type === "media" && isImage(part.mediaType) && imageBytes - removed > IMAGE_BYTES_TARGET) {
removed += size(part.data)
return Message.text(IMAGE_REMOVED)
}
if (part.type !== "tool-result" || part.result.type !== "content") return part
return {
...part,
result: {
...part.result,
value: part.result.value.map((item: Content) => {
if (item.type !== "file" || !isImage(item.mime) || imageBytes - removed <= IMAGE_BYTES_TARGET)
return item
removed += Buffer.byteLength(item.uri)
return { type: "text" as const, text: IMAGE_REMOVED }
}),
},
}
}),
}),
)
}
/**
* Builds an outbound model request and captures the tool-call capability that
* must remain paired with it. It does not execute the request or mutate
@@ -158,9 +213,9 @@ export const layer = Layer.effect(
http: {
headers: SessionModelHeaders.make(session, app),
},
providerOptions: { openai: { promptCacheKey } },
providerOptions: { [providerMetadataKey]: { promptCacheKey } },
system: contextEvent.system,
messages: unsupportedParts(contextEvent.messages, resolved.capabilities),
messages: boundImages(unsupportedParts(contextEvent.messages, resolved.capabilities)),
tools: hookedTools,
toolChoice: stepLimitReached ? "none" : undefined,
})
+1 -1
View File
@@ -63,7 +63,7 @@ export function migrate(info: typeof ConfigV1.Info.Type) {
watcher: info.watcher,
formatter: info.formatter,
lsp: info.lsp,
attachments: info.attachment,
media: info.attachment,
tool_output: info.tool_output,
mcp: mcp(info),
compaction: info.compaction && {
+36
View File
@@ -2,6 +2,42 @@ import { describe, expect, test } from "bun:test"
import { AISDKNative } from "@opencode-ai/core/aisdk-native"
describe("AISDKNative", () => {
test("maps OpenRouter settings to native destinations", () => {
expect(
AISDKNative.map("@openrouter/ai-sdk-provider", {
appName: "OpenCode",
appUrl: "https://opencode.ai",
headers: { "x-openrouter-title": "Configured", "x-provider-api-keys": "Configured BYOK" },
api_keys: { anthropic: "provider-key" },
extraBody: { transforms: ["middle-out"] },
models: ["anthropic/claude-sonnet-4.6"],
provider: { only: ["anthropic"], require_parameters: true },
reasoning: { effort: "high" },
promptCacheKey: "session_123",
future_option: { enabled: true },
}),
).toEqual({
package: "@opencode-ai/ai/providers/openrouter",
settings: {
providerOptions: {
openrouter: {
models: ["anthropic/claude-sonnet-4.6"],
provider: { only: ["anthropic"], require_parameters: true },
reasoning: { effort: "high" },
promptCacheKey: "session_123",
future_option: { enabled: true },
},
},
},
headers: {
"x-openrouter-title": "Configured",
"HTTP-Referer": "https://opencode.ai",
"x-provider-api-keys": "Configured BYOK",
},
body: { transforms: ["middle-out"] },
})
})
test("maps every Google thinking setting", () => {
expect(
AISDKNative.map("@ai-sdk/google", {
+3 -3
View File
@@ -803,7 +803,7 @@ describe("Config", () => {
custom: { command: ["custom-fmt", "$FILE"], extensions: [".foo"] },
},
lsp: { typescript: { disabled: true }, custom: { command: ["custom-lsp"], extensions: [".foo"] } },
attachments: {
media: {
image: { auto_resize: false, max_width: 1200, max_height: 900, max_base64_bytes: 1048576 },
},
tool_output: { max_lines: 1000, max_bytes: 32768 },
@@ -890,7 +890,7 @@ describe("Config", () => {
typescript: { disabled: true },
custom: { command: ["custom-lsp"], extensions: [".foo"] },
})
expect(documents[0]?.info.attachments).toEqual({
expect(documents[0]?.info.media).toEqual({
image: { auto_resize: false, max_width: 1200, max_height: 900, max_base64_bytes: 1048576 },
})
expect(documents[0]?.info.tool_output).toEqual({ max_lines: 1000, max_bytes: 32768 })
@@ -1097,7 +1097,7 @@ describe("Config", () => {
expect(documents[0]?.info.references).toEqual({
docs: { path: "../docs", description: "Use for product documentation", hidden: true },
})
expect(documents[0]?.info.attachments).toEqual({ image: { auto_resize: false, max_width: 1200 } })
expect(documents[0]?.info.media).toEqual({ image: { auto_resize: false, max_width: 1200 } })
expect(documents[0]?.info.providers?.custom).toMatchObject({
settings: { apiKey: "secret" },
models: {
+32
View File
@@ -1,5 +1,6 @@
import { describe, expect } from "bun:test"
import { LLM, Model } from "@opencode-ai/ai"
import { OpenAIChat } from "@opencode-ai/ai/protocols"
import { compileRequest } from "@opencode-ai/ai/route/client"
import { Effect } from "effect"
import { Headers } from "effect/unstable/http"
@@ -546,6 +547,37 @@ describe("ModelResolver", () => {
}),
)
it.effect("merges mapped OpenRouter headers and body with catalog overlays", () =>
ModelResolver.fromCatalogModel(
model(Provider.aisdk("@openrouter/ai-sdk-provider"), {
settings: {
appName: "OpenCode",
appUrl: "https://opencode.ai",
extraBody: { transforms: ["middle-out"], provider: { sort: "price" } },
},
headers: { "X-OpenRouter-Title": "Custom" },
body: { provider: { only: ["anthropic"] } },
}),
undefined,
{
loadPackage: () =>
Effect.succeed({
model: (modelID, settings) => {
expect(settings.headers).toEqual({
"HTTP-Referer": "https://opencode.ai",
"X-OpenRouter-Title": "Custom",
})
expect(settings.body).toEqual({
transforms: ["middle-out"],
provider: { sort: "price", only: ["anthropic"] },
})
return Model.make({ id: modelID, provider: "openrouter", route: OpenAIChat.route })
},
}),
},
),
)
it.effect("loads supported AISDK catalog packages as native routes", () =>
Effect.gen(function* () {
const google = yield* ModelResolver.fromCatalogModel(
@@ -1,6 +1,6 @@
import { describe, expect, test } from "bun:test"
import { Message, ToolResultPart } from "@opencode-ai/ai"
import { unsupportedParts } from "@opencode-ai/core/session/model-request"
import { boundImages, unsupportedParts } from "@opencode-ai/core/session/model-request"
const capabilities = (input: string[]) => ({ tools: true, input, output: ["text"] })
@@ -62,3 +62,51 @@ describe("SessionModelRequest.unsupportedParts", () => {
expect(unsupportedParts([message], capabilities(["text", "image"]))[0]?.content).toEqual(message.content)
})
})
describe("SessionModelRequest.boundImages", () => {
test("preserves images below the trigger", () => {
const messages = [Message.user({ type: "media", mediaType: "image/png", data: "aGVsbG8=" })]
expect(boundImages(messages)).toBe(messages)
})
test("replaces oldest images until the retained payload reaches the target", () => {
const image = "a".repeat(9 * 1024 * 1024)
const messages = [
Message.user({ type: "media", mediaType: "image/png", data: image, filename: "first.png" }),
Message.user({ type: "media", mediaType: "image/png", data: image, filename: "second.png" }),
Message.user({ type: "media", mediaType: "image/png", data: image, filename: "third.png" }),
]
const result = boundImages(messages)
expect(result[0]?.content[0]).toMatchObject({ type: "text" })
expect(result[1]?.content[0]).toMatchObject({ type: "text" })
expect(result[2]?.content[0]).toMatchObject({ type: "media", filename: "third.png" })
})
test("replaces images nested in tool results", () => {
const image = "a".repeat(13 * 1024 * 1024)
const result = boundImages([
Message.tool(
ToolResultPart.make({
id: "call_1",
name: "read",
result: {
type: "content",
value: [
{ type: "file", uri: `data:image/png;base64,${image}`, mime: "image/png", name: "first.png" },
{ type: "file", uri: `data:image/png;base64,${image}`, mime: "image/png", name: "second.png" },
],
},
}),
),
])
expect(result[0]?.content[0]).toMatchObject({
type: "tool-result",
result: {
type: "content",
value: [{ type: "text" }, { type: "file", name: "second.png" }],
},
})
})
})
+34 -2
View File
@@ -26,8 +26,8 @@ import { SessionPendingTable, SessionMessageTable, SessionTable } from "@opencod
import { SessionStore } from "@opencode-ai/core/session/store"
import { LocationServiceMap } from "@opencode-ai/core/location-service-map"
import type { LocationServices } from "@opencode-ai/core/location-services"
import { Image } from "@opencode-ai/core/image"
import { testEffect } from "./lib/effect"
import { imagePassthrough } from "./lib/image"
const executionCalls: Session.ID[] = []
const interruptCalls: Session.ID[] = []
@@ -58,7 +58,10 @@ const locations = Layer.effect(
() =>
// Attachment admission only needs the location-scoped Image service.
// oxlint-disable-next-line typescript-eslint/no-unsafe-type-assertion
imagePassthrough as unknown as Layer.Layer<LocationServices>,
Layer.mock(Image.Service, {
normalize: (_resource, content) =>
Effect.succeed(content.content.length > 5 * 1024 * 1024 ? { ...content, content: "AA==" } : content),
}) as unknown as Layer.Layer<LocationServices>,
),
)
const it = testEffect(
@@ -386,6 +389,35 @@ describe("Session.prompt", () => {
}),
)
it.effect("normalizes large image content before validating persisted Base64", () =>
Effect.gen(function* () {
yield* setup
const session = yield* Session.Service
const pixel = Buffer.from(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=",
"base64",
)
const bytes = Buffer.concat([pixel, Buffer.alloc(4_323_030 - pixel.length)])
const data = bytes.toString("base64")
expect(data).toHaveLength(5_764_040)
const message = yield* session.prompt({
sessionID,
text: "Inspect this image",
files: [{ uri: `data:image/png;base64,${data}` }],
resume: false,
})
expect(message.data.files).toEqual([
{
data: "AA==",
mime: "image/png",
source: { type: "inline" },
},
])
}),
)
it.effect("sniffs data URL content instead of trusting its declared MIME", () =>
Effect.gen(function* () {
yield* setup
+6 -6
View File
@@ -2,7 +2,7 @@ import { beforeEach, describe, expect } from "bun:test"
import path from "path"
import { Effect, Exit, Layer, PlatformError, Stream } from "effect"
import { Config } from "@opencode-ai/core/config"
import { ConfigAttachments } from "@opencode-ai/core/config/attachments"
import { ConfigMedia } from "@opencode-ai/core/config/media"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
import { LayerNode } from "@opencode-ai/util/effect/layer-node"
import { FileSystem } from "@opencode-ai/core/filesystem"
@@ -432,8 +432,8 @@ describe("ReadTool", () => {
new Config.Document({
type: "document",
info: new Config.Info({
attachments: new ConfigAttachments.Info({
image: new ConfigAttachments.Image({ auto_resize: false, max_width: 4 }),
media: new ConfigMedia.Info({
image: new ConfigMedia.Image({ auto_resize: false, max_width: 4 }),
}),
}),
}),
@@ -475,7 +475,7 @@ describe("ReadTool", () => {
new Config.Document({
type: "document",
info: new Config.Info({
attachments: new ConfigAttachments.Info({ image: new ConfigAttachments.Image({ max_width: 4 }) }),
media: new ConfigMedia.Info({ image: new ConfigMedia.Image({ max_width: 4 }) }),
}),
}),
])
@@ -514,8 +514,8 @@ describe("ReadTool", () => {
new Config.Document({
type: "document",
info: new Config.Info({
attachments: new ConfigAttachments.Info({
image: new ConfigAttachments.Image({ max_base64_bytes: 1 }),
media: new ConfigMedia.Info({
image: new ConfigMedia.Image({ max_base64_bytes: 1 }),
}),
}),
}),
+26 -9
View File
@@ -1,11 +1,13 @@
import { RGBA, TextAttributes } from "@opentui/core"
import { For, type JSX } from "solid-js"
import { useTerminalDimensions } from "@opentui/solid"
import { useTheme } from "../context/theme"
import { tint } from "../theme/color"
import { logo } from "../logo"
import { go, logo } from "../logo"
export function Logo() {
const theme = useTheme()
const dimensions = useTerminalDimensions()
const renderLine = (line: string, fg: RGBA, bold: boolean): JSX.Element[] => {
const shadow = tint(theme.background.default, fg, 0.25)
@@ -49,14 +51,29 @@ export function Logo() {
return (
<box>
<For each={logo.left}>
{(line, index) => (
<box flexDirection="row" gap={1}>
<box flexDirection="row">{renderLine(line, theme.text.subdued, false)}</box>
<box flexDirection="row">{renderLine(logo.right[index()], theme.text.default, true)}</box>
</box>
)}
</For>
{dimensions().height < 12 ? null : dimensions().width < 22 ? (
<For each={go.right.slice(1)}>
{(line) => <box flexDirection="row">{renderLine(line, theme.text.default, true)}</box>}
</For>
) : dimensions().width < 44 ? (
<>
<For each={logo.left.slice(1)}>
{(line) => <box flexDirection="row">{renderLine(line, theme.text.subdued, false)}</box>}
</For>
<For each={logo.right}>
{(line) => <box flexDirection="row">{renderLine(line, theme.text.default, true)}</box>}
</For>
</>
) : (
<For each={logo.left}>
{(line, index) => (
<box flexDirection="row" gap={1}>
<box flexDirection="row">{renderLine(line, theme.text.subdued, false)}</box>
<box flexDirection="row">{renderLine(logo.right[index()], theme.text.default, true)}</box>
</box>
)}
</For>
)}
</box>
)
}
+83
View File
@@ -0,0 +1,83 @@
/** @jsxImportSource @opentui/solid */
import { DiffRenderable, LineNumberRenderable, type ColorInput } from "@opentui/core"
import type { JSX } from "@opentui/solid"
import { createMemo, For, Show, splitProps } from "solid-js"
import { splitPatchHunks } from "../util/diff"
import { stringWidth } from "../util/string-width"
export interface PatchDiffRef {
readonly hunks: () => readonly DiffRenderable[]
}
type Props = Omit<JSX.IntrinsicElements["diff"], "diff" | "lineNumberBg" | "ref"> & {
diff: string
hunkFg: ColorInput
lineNumberBg: ColorInput
ref?: (value: PatchDiffRef) => void
}
export function PatchDiff(props: Props) {
const [local, diffProps] = splitProps(props, ["diff", "hunkFg", "lineNumberBg", "ref"])
const hunks = createMemo(() => splitPatchHunks(local.diff))
const nodes = new Map<number, DiffRenderable>()
local.ref?.({
hunks: () =>
[...nodes.entries()]
.sort(([left], [right]) => left - right)
.map(([, node]) => node)
.filter((node) => !node.isDestroyed),
})
const syncGutters = (attempt = 0) => {
requestAnimationFrame(() => {
const sides = [...nodes.values()]
.filter((item) => !item.isDestroyed)
.flatMap((item) => item.getChildren().filter((side) => side instanceof LineNumberRenderable))
const lineNumbers = sides.map((side) => new Map([...side.getLineNumbers()].filter(([line]) => line >= 0)))
const digits = lineNumbers.map((numbers) => Math.max(0, ...numbers.values()).toString().length)
const after = sides.map((side) =>
Math.max(
0,
...[...side.getLineSigns()].filter(([line]) => line >= 0).map(([, sign]) => stringWidth(sign.after ?? "")),
),
)
const maxDigits = Math.max(...digits)
const maxAfter = Math.max(...after)
if (!maxDigits && attempt < 2) return syncGutters(attempt + 1)
if (!maxDigits) return
sides.forEach((side) => {
const index = sides.indexOf(side)
const signs = new Map([...side.getLineSigns()].filter(([line]) => line >= 0))
signs.set(-1, { after: " ".repeat(maxAfter + maxDigits - digits[index]) })
side.setLineNumbers(lineNumbers[index])
side.setLineSigns(signs)
})
})
}
const register = (index: number, node: DiffRenderable) => {
nodes.set(index, node)
syncGutters()
}
return (
<For each={hunks()}>
{(hunk, index) => (
<>
<Show when={index() > 0}>
<box width="100%" height={1} backgroundColor={local.lineNumberBg}>
<text fg={local.hunkFg} bg={local.lineNumberBg}>
{` ${hunk.header ?? ""}`}
</text>
</box>
</Show>
<diff
{...diffProps}
ref={(node: DiffRenderable) => register(index(), node)}
diff={hunk.patch}
minHeight={hunk.rows}
lineNumberBg={local.lineNumberBg}
/>
</>
)}
</For>
)
}
+61 -17
View File
@@ -1168,6 +1168,19 @@ export function Prompt(props: PromptProps) {
)
}
function expandPastedText(extmarkId: number) {
const extmark = input.extmarks.get(extmarkId)
const ref = store.extmarkToPart.get(extmarkId)
if (!extmark || ref?.type !== "pasted") return false
const part = store.prompt.pasted[ref.index]
if (!part) return false
input.extmarks.delete(extmarkId)
input.setSelection(extmark.start, extmark.end)
input.insertText(part.text)
return true
}
async function pasteInputText(text: string) {
const normalizedText = text.replace(/\r\n/g, "\n").replace(/\r/g, "\n")
const pastedContent = normalizedText.trim()
@@ -1191,6 +1204,15 @@ export function Prompt(props: PromptProps) {
const lineCount = (pastedContent.match(/\n/g)?.length ?? 0) + 1
if ((lineCount >= 3 || pastedContent.length > 150) && config.prompt?.paste !== "full") {
const extmark = input.extmarks.getAllForTypeId(promptPartTypeId).find((extmark) => {
const ref = store.extmarkToPart.get(extmark.id)
return (
(extmark.end === input.cursorOffset || extmark.end + 1 === input.cursorOffset) &&
ref?.type === "pasted" &&
store.prompt.pasted[ref.index]?.text === pastedContent
)
})
if (extmark && expandPastedText(extmark.id)) return
pasteText(pastedContent, `[Pasted ~${lineCount} lines]`)
return
}
@@ -1292,13 +1314,20 @@ export function Prompt(props: PromptProps) {
const placeholderText = createMemo(() => {
if (props.showPlaceholder === false) return undefined
if (store.mode === "shell") {
if (!shell().length) return undefined
const example = shell()[store.placeholder % shell().length]
return `Run a command... "${example}"`
}
if (!list().length) return undefined
return `Ask anything... "${list()[store.placeholder % list().length]}"`
const value = (() => {
if (store.mode === "shell") {
if (!shell().length) return undefined
return `Run a command... "${shell()[store.placeholder % shell().length]}"`
}
if (!list().length) return undefined
return `Ask anything... "${list()[store.placeholder % list().length]}"`
})()
if (!value) return undefined
const width =
dimensions().width < 44
? dimensions().width - 5
: Math.min(75, dimensions().width - 4) - 5
return Locale.takeWidth(value, Math.max(1, width)).trimEnd()
})
const locationLabel = createMemo(() => {
if (!props.sessionID) {
@@ -1348,8 +1377,8 @@ export function Prompt(props: PromptProps) {
}}
>
<box
paddingLeft={2}
paddingRight={2}
paddingLeft={dimensions().width < 44 ? 1 : 2}
paddingRight={dimensions().width < 44 ? 1 : 2}
paddingTop={1}
flexShrink={0}
backgroundColor={promptBg()}
@@ -1425,33 +1454,48 @@ export function Prompt(props: PromptProps) {
}, 0)
}}
onMouseDown={(r: MouseEvent) => {
if (props.disabled) return
if (props.disabled || r.button !== 0) return
r.target?.focus()
const extmark = input.extmarks
.getAtOffset(input.cursorOffset)
.find((item) => store.extmarkToPart.get(item.id)?.type === "pasted")
if (!extmark || !expandPastedText(extmark.id)) return
r.preventDefault()
r.stopPropagation()
}}
focusedBackgroundColor="transparent"
cursorColor={props.disabled ? theme.background.surface.offset : theme.text.default}
syntaxStyle={syntax()}
/>
<box flexDirection="row" flexShrink={0} paddingTop={1} gap={1} justifyContent="space-between">
<box flexDirection="row" gap={1}>
<box flexDirection="row" gap={1} flexGrow={1} flexShrink={1} minWidth={0}>
<Show when={agentLabel()} fallback={<box height={1} />}>
{(label) => (
<>
<text fg={fadeColor(highlight(), agentMetaAlpha())}>{label()}</text>
<Show when={store.mode === "normal" && local.permission.mode === "auto"}>
<Show
when={store.mode === "normal" && local.permission.mode === "auto" && dimensions().width >= 44}
>
<text fg={fadeColor(theme.text.subdued, agentMetaAlpha())}>auto</text>
</Show>
<Show when={store.mode === "normal"}>
<box flexDirection="row" gap={1}>
<Show when={store.mode === "normal" && dimensions().width >= 28}>
<box flexDirection="row" gap={1} flexGrow={1} flexShrink={1} minWidth={0}>
<text fg={fadeColor(theme.text.subdued, modelMetaAlpha())}>·</text>
<text
flexShrink={0}
flexShrink={1}
minWidth={0}
wrapMode="none"
truncate
fg={fadeColor(leader() ? theme.text.subdued : theme.text.default, modelMetaAlpha())}
>
{local.model.parsed().model}
</text>
<text fg={fadeColor(theme.text.subdued, modelMetaAlpha())}>{currentProviderLabel()}</text>
<Show when={showVariant()}>
<Show when={dimensions().width >= 50}>
<text flexShrink={0} fg={fadeColor(theme.text.subdued, modelMetaAlpha())}>
{currentProviderLabel()}
</text>
</Show>
<Show when={showVariant() && dimensions().width >= 70}>
<text fg={fadeColor(theme.text.subdued, variantMetaAlpha())}>·</text>
<text>
<span
@@ -1,23 +1,6 @@
import { Plugin } from "@opencode-ai/plugin/tui"
import { createMemo, Match, Show, Switch } from "solid-js"
import { useTerminalDimensions } from "@opentui/solid"
import { stringWidth } from "../../util/string-width"
import { FadeFilePath } from "../../ui/fade-file-path"
function Directory(props: { context: Plugin.Context; maxWidth: number }) {
const directory = createMemo(() =>
props.context.location ? props.context.ui.format.path(props.context.location.directory) : undefined,
)
return (
<FadeFilePath
value={directory()}
maxWidth={props.maxWidth}
fg={props.context.theme.text.subdued}
bg={props.context.theme.background.default}
/>
)
}
function Mcp(props: { context: Plugin.Context }) {
const list = createMemo(() => props.context.data.location.mcp.server.list(props.context.location) ?? [])
@@ -53,34 +36,26 @@ function Mcp(props: { context: Plugin.Context }) {
function View(props: { context: Plugin.Context }) {
const dimensions = useTerminalDimensions()
const mcpWidth = createMemo(() => {
const list = props.context.data.location.mcp.server.list(props.context.location) ?? []
if (list.length === 0) return 0
const count = list.filter((item) => item.status.status === "connected").length
return stringWidth(`${count} MCP /status`) + 2
})
return (
<box
width="100%"
paddingTop={1}
paddingBottom={1}
paddingLeft={2}
paddingRight={2}
flexDirection="row"
flexShrink={0}
gap={2}
>
<Directory
context={props.context}
maxWidth={Math.max(2, dimensions().width - 8 - stringWidth(props.context.app.version) - mcpWidth())}
/>
<Mcp context={props.context} />
<box flexGrow={1} />
<box flexShrink={0}>
<text fg={props.context.theme.text.subdued}>{props.context.app.version}</text>
<Show when={dimensions().height >= 12 && dimensions().width >= 44}>
<box
width="100%"
paddingTop={dimensions().height < 16 ? 0 : 1}
paddingBottom={dimensions().height < 16 ? 0 : 1}
paddingLeft={2}
paddingRight={2}
flexDirection="row"
flexShrink={0}
gap={2}
>
<Mcp context={props.context} />
<box flexGrow={1} />
<box flexShrink={0}>
<text fg={props.context.theme.text.subdued}>{props.context.app.version}</text>
</box>
</box>
</box>
</Show>
)
}
@@ -1,6 +1,7 @@
import { Plugin } from "@opencode-ai/plugin/tui"
import { createMemo, Match, Show, Switch } from "solid-js"
import { contextUsage, formatContextUsage } from "../../util/session"
import { useTerminalDimensions } from "@opentui/solid"
const money = new Intl.NumberFormat("en-US", {
style: "currency",
@@ -8,6 +9,7 @@ const money = new Intl.NumberFormat("en-US", {
})
export function PromptFooter(props: { context: Plugin.Context; sessionID?: string; mode: "normal" | "shell" }) {
const dimensions = useTerminalDimensions()
const activeSubagents = createMemo(() => {
if (!props.sessionID) return 0
return props.context.data.session
@@ -60,19 +62,24 @@ export function PromptFooter(props: { context: Plugin.Context; sessionID?: strin
<Show when={status().length > 0}>{status().join(" · ")}</Show>
</text>
</Match>
<Match when={true}>
<Match when={dimensions().width >= 44}>
<text fg={props.context.theme.text.default} flexShrink={0}>
{shortcut("agent.cycle")} <span style={{ fg: props.context.theme.text.subdued }}>agents</span>
</text>
</Match>
</Switch>
<text fg={props.context.theme.text.default} flexShrink={0}>
{shortcut("command.palette.show")} <span style={{ fg: props.context.theme.text.subdued }}>commands</span>
</text>
<Show when={dimensions().width >= 44}>
<text fg={props.context.theme.text.default} flexShrink={0}>
{shortcut("command.palette.show")} <span style={{ fg: props.context.theme.text.subdued }}>commands</span>
</text>
</Show>
</Match>
<Match when={props.mode === "shell"}>
<text fg={props.context.theme.text.default} flexShrink={0}>
esc <span style={{ fg: props.context.theme.text.subdued }}>exit shell mode</span>
esc{" "}
<span style={{ fg: props.context.theme.text.subdued }}>
{dimensions().width < 44 ? "shell" : "exit shell mode"}
</span>
</text>
</Match>
</Switch>
@@ -2,13 +2,7 @@
import type { FileDiffInfo } from "@opencode-ai/client"
import { Plugin } from "@opencode-ai/plugin/tui"
import type { KeymapCommand, Route } from "@opencode-ai/plugin/tui/context"
import {
TextAttributes,
type BorderSides,
type BoxRenderable,
type DiffRenderable,
type ScrollBoxRenderable,
} from "@opentui/core"
import { TextAttributes, type BorderSides, type BoxRenderable, type ScrollBoxRenderable } from "@opentui/core"
import { LANGUAGE_EXTENSIONS } from "../../util/filetype"
import { useTerminalDimensions } from "@opentui/solid"
import path from "path"
@@ -19,6 +13,7 @@ import { DialogSelect } from "../../ui/dialog-select"
import { getScrollAcceleration } from "../../util/scroll"
import { useConfig } from "../../config"
import { useThemes } from "../../context/theme"
import { PatchDiff, type PatchDiffRef } from "../../component/patch-diff"
import {
allExpandedFileTreeDirectories,
buildFileTree,
@@ -154,7 +149,7 @@ function DiffViewer(props: { context: Plugin.Context }) {
const helpShortcut = shortcut("diff.help")
let scroll: ScrollBoxRenderable | undefined
const patchNodeByFileIndex = new Map<number, BoxRenderable>()
const diffNodeByFileIndex = new Map<number, DiffRenderable>()
const patchDiffByFileIndex = new Map<number, PatchDiffRef>()
const [selectedHunk, setSelectedHunk] = createSignal<SelectedHunk | undefined>()
const [pendingPatchScrollFileIndex, setPendingPatchScrollFileIndex] = createSignal<number | undefined>()
const [patchFillerHeight, setPatchFillerHeight] = createSignal(0)
@@ -270,17 +265,16 @@ function DiffViewer(props: { context: Plugin.Context }) {
if (!patchScroll) return
const hunks = visiblePatchFiles()
.flatMap((entry) => {
const node = diffNodeByFileIndex.get(entry.fileIndex)
if (!node || node.isDestroyed) return []
const contentY = patchScroll.scrollTop + node.y - patchScroll.viewport.y
return node.diff
.split("\n")
.flatMap((line, row) => (line.startsWith("@@") ? [row] : []))
.map((row, hunkIndex) => ({
fileIndex: entry.fileIndex,
hunkIndex,
contentY: contentY + row,
}))
return (
patchDiffByFileIndex
.get(entry.fileIndex)
?.hunks()
.map((node, hunkIndex) => ({
fileIndex: entry.fileIndex,
hunkIndex,
contentY: patchScroll.scrollTop + node.y - patchScroll.viewport.y - (hunkIndex > 0 ? 1 : 0),
})) ?? []
)
})
.sort((left, right) => left.contentY - right.contentY)
const selected = selectedHunk()
@@ -831,9 +825,10 @@ function DiffViewer(props: { context: Plugin.Context }) {
>
{(patch) => (
<box border={patchLeftBorder()} borderColor={theme.border.default}>
<diff
ref={(element: DiffRenderable) => diffNodeByFileIndex.set(entry.fileIndex, element)}
<PatchDiff
ref={(component) => patchDiffByFileIndex.set(entry.fileIndex, component)}
diff={patch()}
hunkFg={reviewed() ? theme.text.subdued : theme.diff.text.hunkHeader}
view={view()}
filetype={reviewed() ? PLAIN_TEXT_FILETYPE : filetype(entry.file.file)}
syntaxStyle={currentSyntax()}
@@ -847,9 +842,15 @@ function DiffViewer(props: { context: Plugin.Context }) {
removedBg={
reviewed() ? theme.background.surface.overlay : theme.diff.background.removed
}
contextBg={
reviewed() ? theme.background.surface.overlay : theme.diff.background.context
}
addedSignColor={reviewed() ? theme.text.subdued : theme.diff.highlight.added}
removedSignColor={reviewed() ? theme.text.subdued : theme.diff.highlight.removed}
lineNumberFg={theme.diff.lineNumber.text}
lineNumberBg={
reviewed() ? theme.background.surface.overlay : theme.diff.background.context
}
addedLineNumberBg={
reviewed()
? theme.background.surface.overlay
+3 -1
View File
@@ -32,6 +32,7 @@ import { footerWidthPolicy } from "./footer.width"
import { toolFiletype } from "./tool"
import { transparent, type RunBlockTheme, type RunFooterTheme } from "./theme"
import type { MiniPermissionRequest, PermissionReply } from "./types"
import { PatchDiff } from "../component/patch-diff"
function buttons(
list: PermissionOption[],
@@ -405,8 +406,9 @@ export function RunPermissionBody(props: {
</Show>
}
>
<diff
<PatchDiff
diff={info().diff!}
hunkFg={props.block.diffLineNumber}
view="unified"
filetype={ft()}
syntaxStyle={props.block.syntax}
+3 -1
View File
@@ -13,6 +13,7 @@ import { entryColor, entryLook, entrySyntax } from "./scrollback.shared"
import { toolFiletype, toolStructuredFinal } from "./tool"
import { RUN_THEME_FALLBACK, transparent, type RunTheme } from "./theme"
import type { EntryLayout, RunEntryBody, ScrollbackOptions, StreamCommit, TurnSummary } from "./types"
import { PatchDiff } from "../component/patch-diff"
export function entryGroupKey(commit: StreamCommit): string | undefined {
if (!commit.partID) {
@@ -178,8 +179,9 @@ export function RunEntryContent(props: {
</text>
{item.diff.trim() ? (
<box width="100%" paddingLeft={1}>
<diff
<PatchDiff
diff={item.diff}
hunkFg={theme().block.diffLineNumber}
view="unified"
filetype={toolFiletype(item.file)}
syntaxStyle={syntax()}
+15 -2
View File
@@ -1,10 +1,12 @@
import { PluginContextProvider, type Plugin } from "@opencode-ai/plugin/tui"
import {
batch,
createComponent,
createContext,
createEffect,
createMemo,
For,
mergeProps,
on,
onCleanup,
onMount,
@@ -584,7 +586,7 @@ export function PluginRoute(props: { readonly fallback: (id: string, name: strin
if (route.data.type !== "plugin") return
const render = plugins.route(route.data.id, route.data.name)
if (!render) return props.fallback(route.data.id, route.data.name)
return render({ data: route.data.data })
return createComponent(render, { data: route.data.data })
})
return <>{content()}</>
}
@@ -600,5 +602,16 @@ export function PluginSlot<Name extends SlotName>(props: {
if (props.mode === "replace") return items.slice(-1)
return items
})
return <For each={renderers()}>{(render) => render(props.input)}</For>
return (
<For each={renderers()}>
{(render) =>
// Component semantics: the render body runs once and untracked, so
// signals and intervals created inside are stable, while props stay
// reactive through the merged getter. A bare render(props.input) call
// would run inside the host's tracked scope and re-execute the whole
// body (resetting plugin state) on every tracked read.
createComponent(render, mergeProps(() => props.input) as SlotMap[Name])
}
</For>
)
}
+8 -1
View File
@@ -10,6 +10,7 @@ import { useData } from "../context/data"
import { useLocation } from "../context/location"
import { FormPrompt } from "./session/form"
import { PluginSlot } from "../plugin/context"
import { useTerminalDimensions } from "@opentui/solid"
let once = false
const placeholder = {
@@ -26,6 +27,7 @@ export function Home() {
const editor = useEditorContext()
const data = useData()
const location = useLocation()
const dimensions = useTerminalDimensions()
// Global MCP elicitations can arrive without a session route, so keep them reachable from Home.
const currentLocation = () => route.location ?? data.location.default()
const forms = createMemo(() => data.session.form.list("global", currentLocation()) ?? [])
@@ -71,7 +73,12 @@ export function Home() {
return (
<>
<box flexGrow={1} alignItems="center" paddingLeft={2} paddingRight={2}>
<box
flexGrow={1}
alignItems="center"
paddingLeft={dimensions().width < 44 ? 1 : 2}
paddingRight={dimensions().width < 44 ? 1 : 2}
>
<box flexGrow={1} minHeight={0} />
<box height={4} minHeight={0} flexShrink={1} />
<box flexShrink={0}>
+18 -5
View File
@@ -22,6 +22,7 @@ import { useData } from "../../context/data"
import { SplitBorder } from "../../ui/border"
import { useTuiPaths, useTuiTerminalEnvironment } from "../../context/runtime"
import { Spinner, SPINNER_FRAMES } from "../../component/spinner"
import { PatchDiff } from "../../component/patch-diff"
import { ThemeContextProvider, useTheme, useThemes } from "../../context/theme"
import { BoxRenderable, ScrollBoxRenderable, addDefaultParsers, TextAttributes, RGBA } from "@opentui/core"
import { Prompt, type PromptRef } from "../../component/prompt"
@@ -958,7 +959,14 @@ export function Session() {
}}
>
<box flexDirection="row" flexGrow={1} minHeight={0}>
<box flexGrow={1} minHeight={0} paddingBottom={1} paddingLeft={2} paddingRight={2} gap={1}>
<box
flexGrow={1}
minHeight={0}
paddingBottom={1}
paddingLeft={dimensions().width < 44 ? 1 : 2}
paddingRight={dimensions().width < 44 ? 1 : 2}
gap={1}
>
<Show when={session()}>
<scrollbox
ref={(r) => (scroll = r)}
@@ -1540,6 +1548,7 @@ function SessionGroupView(props: {
function AssistantFooter(props: { message: SessionMessageAssistant }) {
const ctx = use()
const local = useLocal()
const dimensions = useTerminalDimensions()
const theme = useTheme("elevated")
const model = createMemo(
() =>
@@ -1573,8 +1582,10 @@ function AssistantFooter(props: { message: SessionMessageAssistant }) {
<span style={{ fg: props.message.error ? theme.text.subdued : local.agent.color(props.message.agent) }}>
{Locale.titlecase(props.message.agent)}
</span>
<span style={{ fg: theme.text.subdued }}> · {model()}</span>
<Show when={duration()}>
<Show when={dimensions().width >= 28}>
<span style={{ fg: theme.text.subdued }}> · {model()}</span>
</Show>
<Show when={duration() && (dimensions().width < 28 || dimensions().width >= 36)}>
<span style={{ fg: theme.text.subdued }}> · {Locale.duration(duration())}</span>
</Show>
<Show when={interrupted()}>
@@ -3028,8 +3039,9 @@ function Edit(props: ToolProps) {
{(item) => (
<BlockTool path={{ label: "← Edit", value: pathFormatter.format(path()) }} part={props.part}>
<box paddingLeft={1}>
<diff
<PatchDiff
diff={item().patch}
hunkFg={theme.diff.text.hunkHeader}
view={view()}
filetype={filetype(path())}
syntaxStyle={syntax()}
@@ -3117,8 +3129,9 @@ function ApplyPatch(props: ToolProps) {
}
>
<box paddingLeft={1}>
<diff
<PatchDiff
diff={file.patch}
hunkFg={theme.diff.text.hunkHeader}
view={view()}
filetype={filetype(file.relativePath)}
syntaxStyle={syntax()}
@@ -14,6 +14,7 @@ import { useConfig } from "../../config"
import { Keymap } from "../../context/keymap"
import { usePathFormatter } from "../../context/path-format"
import { SimulationSemantics } from "../../simulation/semantics"
import { PatchDiff } from "../../component/patch-diff"
type PermissionStage = "permission" | "always" | "reject"
@@ -50,8 +51,9 @@ function EditBody(props: { file?: string; diff?: string; patch?: string }) {
},
}}
>
<diff
<PatchDiff
diff={diff()}
hunkFg={theme.diff.text.hunkHeader}
view={view()}
filetype={ft()}
syntaxStyle={syntax()}
+56
View File
@@ -0,0 +1,56 @@
export interface PatchHunk {
readonly patch: string
readonly header?: string
readonly rows?: number
}
export function splitPatchHunks(patch: string): PatchHunk[] {
const starts = [
...patch.matchAll(/^@@ -\d+(?:,\d+)? \+\d+(?:,\d+)? @@.*$/gm),
].map((match) => match.index)
if (starts.length <= 1) return [{ patch }]
const prefix = patch.slice(0, starts[0])
return starts.map((start, index) => {
const end = starts[index + 1] ?? patch.length
const lineEnd = patch.indexOf("\n", start)
return {
header: patch.slice(start, lineEnd === -1 ? end : lineEnd),
patch: prefix + patch.slice(start, end),
rows: splitRows(patch.slice(start, end)),
}
})
}
function splitRows(hunk: string) {
const lines = hunk.replace(/\n$/, "").split("\n").slice(1)
let rows = 0
let index = 0
while (index < lines.length) {
const prefix = lines[index][0]
if (prefix === " " || !prefix) {
rows++
index++
continue
}
if (prefix === "\\") {
index++
continue
}
let additions = 0
let deletions = 0
while (
index < lines.length &&
(lines[index][0] === "+" || lines[index][0] === "-")
) {
if (lines[index][0] === "+") additions++
if (lines[index][0] === "-") deletions++
index++
}
rows += Math.max(additions, deletions)
}
return rows
}
@@ -103,6 +103,8 @@ test("brackets navigate diff hunks", async () => {
await viewer.app.waitForFrame((frame) => frame.includes("const first"))
await viewer.app.waitFor(() => Boolean(findScrollBox(viewer.app.renderer.root)))
await viewer.app.flush()
expect(viewer.app.captureCharFrame()).toContain("@@ -20,3 +20,3 @@")
expect(countDiffs(viewer.app.renderer.root)).toBe(3)
const scroll = findScrollBox(viewer.app.renderer.root)!
const initial = scroll.scrollTop
@@ -256,6 +258,12 @@ function containsDiff(root: Renderable): boolean {
return root.getChildren().some(containsDiff)
}
function countDiffs(root: Renderable): number {
return (
(root instanceof DiffRenderable ? 1 : 0) + root.getChildren().reduce((total, child) => total + countDiffs(child), 0)
)
}
const session = {
id: "session-1",
projectID: "project-1",
@@ -111,7 +111,7 @@ Configure image normalization in `opencode.json` or `opencode.jsonc`:
```jsonc title="opencode.jsonc"
{
"$schema": "https://opencode.ai/config.json",
"attachments": {
"media": {
"image": {
"auto_resize": true,
"max_width": 2000,
+2 -2
View File
@@ -267,14 +267,14 @@ this field, but it does not start language servers yet.
See the [LSP guide](/lsp) for accepted fields and current limitations.
### Attachments
### Media
Control how oversized images loaded by the `read` tool are resized or rejected
before they are sent to a model.
```jsonc
{
"attachments": {
"media": {
"image": {
"auto_resize": true,
"max_width": 2000,
+3 -3
View File
@@ -175,16 +175,16 @@ Rename the singular `snapshot` field to `snapshots`. Its boolean value does not
{ "snapshots": false }
```
### Attachments
### Media
Rename the singular `attachment` object to `attachments`. Nested image settings keep the same names:
Rename the singular `attachment` object to `media`. Nested image settings keep the same names:
```jsonc
// V1
{ "attachment": { "image": { "auto_resize": true } } }
// V2
{ "attachments": { "image": { "auto_resize": true } } }
{ "media": { "image": { "auto_resize": true } } }
```
### MCP servers