{"version":3,"file":"adapter.cjs","names":["#baseline"],"sources":["../../../../src/batteries/llm/ollama/adapter.ts"],"sourcesContent":["/**\n * Cross-environment executor adapter for the native Ollama `/api/chat` endpoint.\n *\n * @module @nhtio/adk/batteries/llm/ollama/adapter\n *\n * @remarks\n * Native Ollama LLM adapter targeting `/api/chat` (NOT the OpenAI-compat `/v1` layer — the\n * `openai_chat_completions` battery already covers `/v1`). Works against both LOCAL Ollama\n * (`http://localhost:11434`, no auth) and CLOUD Ollama (`https://ollama.com`, `Authorization:\n * Bearer `); the only difference is `baseURL` + the auth header. Native is HTTP-only — a\n * Unix-socket deployment is reached via a custom `fetch` or an external bridge, not an adapter\n * option.\n *\n * Structurally a sibling of the OpenAI Chat Completions adapter, with the native-wire divergences:\n *\n * - Request body: generation params are NESTED under `options`; `think` / `format` / `keep_alive`\n * are top-level native controls; ADK control fields are stripped before sending.\n * - Streaming: NDJSON (newline-delimited JSON objects), terminated in-band by `done: true` — there\n * is no SSE `data:` framing and no `[DONE]` sentinel. Whole `tool_calls` arrive per chunk (no\n * delta accumulation).\n * - Reasoning: the single native `message.thinking` field (no multi-field precedence dance).\n * - Tool calls: `arguments` is already a JSON OBJECT (no `JSON.parse`); native calls carry no `id`,\n * so the adapter synthesizes one (uuidv6) for correlation / checksum / spool keying. Tool-result\n * history messages use `tool_name` (the originating tool), not `tool_call_id`.\n * - Generation stats: the terminal `done: true` object's token counts + nanosecond durations +\n * `done_reason` are surfaced via `helpers.reportGenerationStats`.\n */\n\nimport { DateTime } from 'luxon'\nimport { sha256 } from 'js-sha256'\nimport { v6 as uuidv6 } from 'uuid'\nimport { validateOptions } from './validation'\nimport { isError, isInstanceOf, isObject } from '@nhtio/adk/guards'\nimport { resolveToolCallParser } from '../chat_common/tool_parsers'\nimport { canonicalStringify } from '../../../lib/utils/canonical_json'\nimport { InMemorySpoolStore } from '@nhtio/adk/batteries/storage/in_memory'\nimport { looksLikeSpooledArtifact, normalizeToolName } from '../chat_common/helpers'\nimport {\n computeBackoff,\n sleepWithJitter,\n parseRetryAfter,\n linkAbortSignals,\n} from '../../../lib/utils/retry'\nimport {\n Tokenizable,\n ToolCall,\n Message,\n Thought,\n SpooledArtifact,\n Media,\n ArtifactTool,\n} from '@nhtio/adk/common'\nimport {\n E_INVALID_OLLAMA_OPTIONS,\n E_OLLAMA_CONTEXT_OVERFLOW,\n E_OLLAMA_HTTP_ERROR,\n E_OLLAMA_STREAM_ERROR,\n E_OLLAMA_STREAM_STALLED,\n E_OLLAMA_REQUEST_TIMEOUT,\n E_OLLAMA_INVALID_TOOL_CALL_ARGS,\n} from './exceptions'\nimport {\n defaultDescriptionToChatCompletionsJsonSchema,\n defaultRenderUntrustedContent,\n defaultRenderTrustedContent,\n defaultRenderStandingInstructions,\n defaultRenderMemories,\n defaultRenderRetrievables,\n defaultRenderRetrievableHandleBody,\n defaultRenderRetrievableSafetyDirective,\n defaultRenderFirstPartyRetrievables,\n defaultRenderThirdPartyPublicRetrievables,\n defaultRenderThirdPartyPrivateRetrievables,\n defaultRenderThought,\n defaultFilterThoughts,\n defaultToolsToChatCompletionsTools,\n defaultRenderChatCompletionsSystemPrompt,\n defaultRenderOllamaTimelineMessage,\n defaultRenderOllamaToolCallResult,\n defaultBuildOllamaHistory,\n ollamaToolsFromTools,\n} from './helpers'\nimport type { Tool, Memory } from '@nhtio/adk/common'\nimport type { DispatchContext } from '@nhtio/adk/types'\nimport type { TokenEncoding, TokenEncodingId } from '@nhtio/adk/types'\nimport type {\n DispatchExecutorFn,\n DispatchExecutorHelpers,\n GenerationStats,\n} from '@nhtio/adk/dispatch_runner'\nimport type {\n OllamaAdapterOptions,\n OllamaHelpers,\n OllamaChatRequestBody,\n OllamaChatStreamChunk,\n OllamaChatResponse,\n OllamaToolCall,\n OllamaRuntimeOptions,\n} from './types'\n\n// ─── An assembled native tool call (id synthesized; args already an object) ───\n// NOTE: unlike the OpenAI adapter, the request body is assembled EXPLICITLY (model / messages /\n// stream / think / format / keep_alive / options / tools) rather than by spreading non-control\n// keys, because native generation params live nested under `options`, not at the top level. So\n// there is no ADK_CONTROL_KEYS strip-set here.\n\ninterface AssembledOllamaToolCall {\n id: string\n name: string\n args: Record\n}\n\n// ─── Option merging ───────────────────────────────────────────────────────────\n\nconst mergeRecord = >(\n layers: ReadonlyArray\n): T | undefined => {\n let merged: T | undefined\n for (const layer of layers) {\n if (!layer) continue\n merged = { ...(merged ?? ({} as T)), ...layer }\n }\n return merged\n}\n\nconst mergeOptions = (\n baseline: OllamaAdapterOptions,\n exec: Partial | undefined,\n stash: Partial | undefined\n): Partial => {\n const layers = [baseline as Partial, exec ?? {}, stash ?? {}]\n const out: Record = {}\n for (const layer of layers) {\n for (const [k, v] of Object.entries(layer)) {\n if (v === undefined) continue\n if (k === 'headers' || k === 'helpers' || k === 'retry' || k === 'options') continue\n out[k] = v\n }\n }\n const headers = mergeRecord(layers.map((l) => l.headers as Record | undefined))\n if (headers !== undefined) out.headers = headers\n const helpers = mergeRecord(layers.map((l) => l.helpers as Record | undefined))\n if (helpers !== undefined) out.helpers = helpers\n const retry = mergeRecord(layers.map((l) => l.retry as Record | undefined))\n if (retry !== undefined) out.retry = retry\n // Nested runtime `options` merge key-by-key, like headers — a stash override that sets one\n // sampling param should not clear the others set in the constructor.\n const runtime = mergeRecord(layers.map((l) => l.options as Record | undefined))\n if (runtime !== undefined) out.options = runtime\n return out as Partial\n}\n\n// ─── Helper resolution ────────────────────────────────────────────────────────\n\nconst resolveHelpers = (overrides: Partial | undefined): OllamaHelpers => {\n const src = overrides ?? {}\n return {\n descriptionToChatCompletionsJsonSchema:\n src.descriptionToChatCompletionsJsonSchema ?? defaultDescriptionToChatCompletionsJsonSchema,\n renderUntrustedContent: src.renderUntrustedContent ?? defaultRenderUntrustedContent,\n renderTrustedContent: src.renderTrustedContent ?? defaultRenderTrustedContent,\n renderStandingInstructions: src.renderStandingInstructions ?? defaultRenderStandingInstructions,\n renderMemories: src.renderMemories ?? defaultRenderMemories,\n renderRetrievables: src.renderRetrievables ?? defaultRenderRetrievables,\n renderRetrievableHandleBody:\n src.renderRetrievableHandleBody ?? defaultRenderRetrievableHandleBody,\n renderRetrievableSafetyDirective:\n src.renderRetrievableSafetyDirective ?? defaultRenderRetrievableSafetyDirective,\n renderFirstPartyRetrievables:\n src.renderFirstPartyRetrievables ?? defaultRenderFirstPartyRetrievables,\n renderThirdPartyPublicRetrievables:\n src.renderThirdPartyPublicRetrievables ?? defaultRenderThirdPartyPublicRetrievables,\n renderThirdPartyPrivateRetrievables:\n src.renderThirdPartyPrivateRetrievables ?? defaultRenderThirdPartyPrivateRetrievables,\n renderThought: src.renderThought ?? defaultRenderThought,\n filterThoughts: src.filterThoughts ?? defaultFilterThoughts,\n toolsToChatCompletionsTools:\n src.toolsToChatCompletionsTools ?? defaultToolsToChatCompletionsTools,\n renderChatCompletionsSystemPrompt:\n src.renderChatCompletionsSystemPrompt ?? defaultRenderChatCompletionsSystemPrompt,\n renderOllamaTimelineMessage:\n src.renderOllamaTimelineMessage ?? defaultRenderOllamaTimelineMessage,\n renderOllamaToolCallResult: src.renderOllamaToolCallResult ?? defaultRenderOllamaToolCallResult,\n buildOllamaHistory: src.buildOllamaHistory ?? defaultBuildOllamaHistory,\n }\n}\n\n// ─── ID / checksum / time helpers ─────────────────────────────────────────────\n\nconst computeChecksum = (tool: string, args: unknown): string =>\n sha256(canonicalStringify({ tool, args }))\n\nconst nowIso = (): string => DateTime.now().toISO() ?? new Date().toISOString()\n\nconst estimateTokensOf = async (\n value: { estimateTokens: (encoding: TokenEncoding) => number | Promise },\n encoding: TokenEncodingId\n): Promise => Promise.resolve(value.estimateTokens(encoding as TokenEncoding))\n\n// ─── Generation-stats extraction ──────────────────────────────────────────────\n\nconst extractGenerationStats = (\n src: OllamaChatStreamChunk | OllamaChatResponse,\n model: string\n): GenerationStats => {\n const stats: GenerationStats = { provider: 'ollama', model: src.model ?? model, raw: { ...src } }\n if (typeof src.prompt_eval_count === 'number') stats.promptTokens = src.prompt_eval_count\n if (typeof src.eval_count === 'number') stats.completionTokens = src.eval_count\n if (typeof src.prompt_eval_count === 'number' && typeof src.eval_count === 'number') {\n stats.totalTokens = src.prompt_eval_count + src.eval_count\n }\n if (typeof src.total_duration === 'number') stats.totalDurationNs = src.total_duration\n if (typeof src.load_duration === 'number') stats.loadDurationNs = src.load_duration\n if (typeof src.prompt_eval_duration === 'number') {\n stats.promptEvalDurationNs = src.prompt_eval_duration\n }\n if (typeof src.eval_duration === 'number') stats.evalDurationNs = src.eval_duration\n if (typeof src.done_reason === 'string') stats.finishReason = src.done_reason\n return stats\n}\n\n// ─── Adapter class ────────────────────────────────────────────────────────────\n\n/**\n * Opinionated cross-environment LLM adapter for the native Ollama `/api/chat` wire shape.\n *\n * @remarks\n * Construction validates options eagerly via {@link validateOptions} and throws\n * {@link @nhtio/adk/batteries/llm/ollama!E_INVALID_OLLAMA_OPTIONS} on failure. The returned instance is reusable: call\n * {@link OllamaAdapter.executor} once per `DispatchRunner` configuration to obtain a\n * {@link @nhtio/adk!DispatchExecutorFn} bound to the baseline plus optional executor-scope\n * overrides. Per-iteration overrides live on `ctx.stash.ollama` and take highest precedence;\n * `headers`, `helpers`, `retry`, and the nested runtime `options` merge key-by-key across all three\n * layers, every other field is replaced wholesale at the highest layer that sets it.\n */\nexport class OllamaAdapter {\n /** Customary key for per-iteration overrides on `ctx.stash`. */\n public static readonly STASH_KEY = 'ollama' as const\n\n readonly #baseline: OllamaAdapterOptions\n\n /**\n * @param options - Constructor-baseline options. Re-validated on every iteration after\n * per-dispatch and per-iteration overrides are layered in.\n * @throws {@link @nhtio/adk/batteries/llm/ollama!E_INVALID_OLLAMA_OPTIONS} when `options` does not satisfy `ollamaOptionsSchema`.\n */\n constructor(options: unknown) {\n this.#baseline = validateOptions(options)\n }\n\n /**\n * Returns a {@link @nhtio/adk!DispatchExecutorFn} bound to this adapter's baseline plus optional\n * executor-scope overrides.\n *\n * @param overrides - Optional executor-scope overrides. Higher precedence than the baseline,\n * lower precedence than `ctx.stash[STASH_KEY]`.\n */\n executor(overrides?: Partial): DispatchExecutorFn {\n const baseline = this.#baseline\n const adapterClass = OllamaAdapter\n return async (ctx: DispatchContext, helpers: DispatchExecutorHelpers): Promise => {\n const localWarn = (msg: string): void => {\n helpers.log.warn({ kind: 'helper-warning', message: msg })\n }\n\n // ── Step 1: merge & validate ──────────────────────────────────────────\n const stashRaw = ctx.stash.get(adapterClass.STASH_KEY, {}) as unknown\n const stashOverrides =\n stashRaw && typeof stashRaw === 'object' ? (stashRaw as Partial) : {}\n const merged = validateOptions(mergeOptions(baseline, overrides, stashOverrides))\n\n // Cross-field invariant: tokenEncoding non-null requires contextWindow.\n if (merged.tokenEncoding !== null && merged.contextWindow === undefined) {\n throw new E_INVALID_OLLAMA_OPTIONS([\n 'tokenEncoding is non-null but contextWindow is undefined',\n ])\n }\n\n // ── Step 2: resolve helpers ───────────────────────────────────────────\n const resolvedHelpers = resolveHelpers(merged.helpers)\n\n // ── Step 3: artifact-reader tools ─────────────────────────────────────\n // Forged by the DispatchRunner CORE into `ctx.tools` before the input pipeline runs (generation is a\n // generic core concern; this battery owns only representation). Read the pre-forged `ctx.tools`\n // directly — no local merge, no bindContext here.\n\n // ── Step 4: pre-render tool-call results ──────────────────────────────\n // Key by primitive identity: duplicate ids must not cross-wire pre-rendered results.\n const renderedToolCallResults = new Map()\n for (const tc of ctx.turnToolCalls) {\n const rendered = await resolvedHelpers.renderOllamaToolCallResult({\n toolCall: tc,\n results: tc.results as\n | Tokenizable\n | SpooledArtifact\n | SpooledArtifact[]\n | Media\n | Media[],\n tool: ctx.tools.get(tc.tool) as Tool | ArtifactTool | undefined,\n renderUntrustedContent: resolvedHelpers.renderUntrustedContent,\n renderTrustedContent: resolvedHelpers.renderTrustedContent,\n unsupportedMediaPolicy: merged.unsupportedMediaPolicy ?? 'throw',\n warn: localWarn,\n })\n renderedToolCallResults.set(tc, rendered)\n }\n\n // ── Step 5: context window enforcement ────────────────────────────────\n if (merged.tokenEncoding !== null && merged.contextWindow !== undefined) {\n const encoding = merged.tokenEncoding as TokenEncodingId\n let spTokens = await estimateTokensOf(ctx.systemPrompt, encoding)\n let siTokens = 0\n for (const si of ctx.standingInstructions) {\n siTokens += await estimateTokensOf(si, encoding)\n }\n let memTokens = 0\n for (const mem of ctx.turnMemories as Set) {\n memTokens += await estimateTokensOf(mem.content, encoding)\n }\n let retTokens = 0\n for (const r of ctx.turnRetrievables) {\n retTokens +=\n !r.inline && SpooledArtifact.isSpooledArtifact(r.content) && r.content.hasSizeHints()\n ? r.content.estimateHandleTokens(\n r.id,\n encoding as TokenEncoding,\n resolvedHelpers.renderRetrievableHandleBody\n )\n : await estimateTokensOf(r.content, encoding)\n }\n let tlTokens = 0\n for (const msg of ctx.turnMessages) {\n if (msg.content !== undefined) {\n tlTokens += await estimateTokensOf(msg.content, encoding)\n }\n }\n for (const th of ctx.turnThoughts) {\n tlTokens += await estimateTokensOf(th.content, encoding)\n }\n for (const rendered of renderedToolCallResults.values()) {\n tlTokens += await estimateTokensOf(new Tokenizable(rendered), encoding)\n }\n // Tool DECLARATIONS: Ollama renders the `tools` array through the MODEL'S OWN Go chat template\n // (the `.Tools` template variable), which is per-model and lives SERVER-side — there is no single\n // fixed conversion to reproduce client-side (seeing the exact string needs `ollama show` / debug\n // logs; evaluating the model's Go template via /api/show is deliberately out of scope for a guard\n // backstop). Tally the serialized wire `tools` JSON as an honest FLOOR. Without this the guard\n // undercounts a tool-heavy prompt by the entire declaration block.\n let toolTokens = 0\n const visibleTools = ctx.tools.visible()\n if (visibleTools.length > 0) {\n const toolsJson = JSON.stringify(\n ollamaToolsFromTools(visibleTools, {\n descriptionToChatCompletionsJsonSchema:\n resolvedHelpers.descriptionToChatCompletionsJsonSchema,\n })\n )\n toolTokens = await estimateTokensOf(new Tokenizable(toolsJson), encoding)\n }\n const total = spTokens + siTokens + memTokens + retTokens + tlTokens + toolTokens\n const perBucketObj = {\n systemPrompt: spTokens,\n standingInstructions: siTokens,\n memories: memTokens,\n retrievables: retTokens,\n timeline: tlTokens,\n tools: toolTokens,\n }\n helpers.log.debug({\n kind: 'context-window-usage',\n message: `Context window usage: ${total}/${merged.contextWindow} tokens`,\n payload: { total, limit: merged.contextWindow, encoding, perBucket: perBucketObj },\n })\n if (total > merged.contextWindow) {\n throw new E_OLLAMA_CONTEXT_OVERFLOW([\n total,\n merged.contextWindow,\n encoding,\n JSON.stringify(perBucketObj),\n ])\n }\n }\n\n // ── Step 6: build request body ────────────────────────────────────────\n const { messages: wireMessages, reasoningPayloads } =\n await resolvedHelpers.buildOllamaHistory({\n systemPrompt: ctx.systemPrompt,\n standingInstructions: ctx.standingInstructions,\n memories: ctx.turnMemories,\n retrievables: ctx.turnRetrievables,\n messages: ctx.turnMessages,\n thoughts: ctx.turnThoughts,\n toolCalls: ctx.turnToolCalls,\n tools: ctx.tools,\n renderedToolCallResults,\n bucketOrder: merged.bucketOrder ?? [\n 'standingInstructions',\n 'memories',\n 'retrievables',\n 'timeline',\n ],\n selfIdentity: merged.selfIdentity ?? 'assistant',\n thoughtSurfacing: merged.thoughtSurfacing ?? 'all-self',\n replayCompatibility: merged.replayCompatibility ?? [],\n renderOllamaToolCallResult: resolvedHelpers.renderOllamaToolCallResult,\n renderChatCompletionsSystemPrompt: resolvedHelpers.renderChatCompletionsSystemPrompt,\n renderStandingInstructions: resolvedHelpers.renderStandingInstructions,\n renderMemories: resolvedHelpers.renderMemories,\n renderRetrievables: resolvedHelpers.renderRetrievables,\n renderRetrievableHandleBody: resolvedHelpers.renderRetrievableHandleBody,\n renderRetrievableSafetyDirective: resolvedHelpers.renderRetrievableSafetyDirective,\n renderFirstPartyRetrievables: resolvedHelpers.renderFirstPartyRetrievables,\n renderThirdPartyPublicRetrievables: resolvedHelpers.renderThirdPartyPublicRetrievables,\n renderThirdPartyPrivateRetrievables: resolvedHelpers.renderThirdPartyPrivateRetrievables,\n renderOllamaTimelineMessage: resolvedHelpers.renderOllamaTimelineMessage,\n renderThought: resolvedHelpers.renderThought,\n filterThoughts: resolvedHelpers.filterThoughts,\n renderUntrustedContent: resolvedHelpers.renderUntrustedContent,\n renderTrustedContent: resolvedHelpers.renderTrustedContent,\n unsupportedMediaPolicy: merged.unsupportedMediaPolicy ?? 'throw',\n warn: localWarn,\n })\n\n const stream = merged.stream ?? true\n const body: OllamaChatRequestBody = {\n model: merged.model,\n messages: wireMessages,\n stream,\n }\n // Native top-level controls — included only when defined. `think` is conditional-presence:\n // omitted → absent; `false` → think:false; truthy/effort → verbatim.\n if (merged.think !== undefined) body.think = merged.think\n if (merged.format !== undefined) body.format = merged.format\n if (merged.keep_alive !== undefined) body.keep_alive = merged.keep_alive\n if (merged.options !== undefined) body.options = merged.options as OllamaRuntimeOptions\n const toolsArr = ctx.tools.visible()\n if (toolsArr.length > 0) {\n body.tools = ollamaToolsFromTools(toolsArr, {\n descriptionToChatCompletionsJsonSchema:\n resolvedHelpers.descriptionToChatCompletionsJsonSchema,\n })\n }\n if (reasoningPayloads.length > 0) {\n body._adk_reasoning_payloads = reasoningPayloads\n }\n\n // One id for this whole generation — correlates the TO tap (onPromptAssembled) with the FROM tap\n // (onRawGeneration) below.\n const dispatchStreamId = uuidv6()\n\n // Prompt-assembled observability tap: the EXACT request body going TO Ollama, the instant it is built\n // and BEFORE the POST. Mirror of onRawGeneration. Handed back AS-IS — no redaction — and swallow\n // observer errors so it can never corrupt the generation path.\n if (merged.onPromptAssembled) {\n try {\n merged.onPromptAssembled({\n battery: 'ollama',\n kind: 'request-body',\n messages: body.messages,\n tools: body.tools,\n requestBody: body,\n streamed: stream,\n streamId: dispatchStreamId,\n })\n } catch {\n /* observer errors are non-fatal */\n }\n }\n\n // ── Step 7: POST with retry / timeout loop ────────────────────────────\n const rawBase = merged.baseURL ?? 'http://localhost:11434'\n const baseURL = rawBase.endsWith('/') ? rawBase.slice(0, -1) : rawBase\n const url = `${baseURL}/api/chat`\n\n const headers: Record = { 'Content-Type': 'application/json' }\n if (stream) headers['Accept'] = 'application/x-ndjson'\n if (merged.apiKey) headers['Authorization'] = `Bearer ${merged.apiKey}`\n if (merged.headers) Object.assign(headers, merged.headers)\n\n const retryCfg = {\n maxAttempts: merged.retry?.maxAttempts ?? 1,\n baseDelayMs: merged.retry?.baseDelayMs ?? 500,\n maxDelayMs: merged.retry?.maxDelayMs ?? 30_000,\n retriableStatuses: merged.retry?.retriableStatuses ?? [429, 502, 503, 504],\n honorRetryAfter: merged.retry?.honorRetryAfter ?? true,\n }\n\n const fetchFn = merged.fetch ?? globalThis.fetch\n const maxAttempts = retryCfg.maxAttempts\n\n let response: Response | undefined\n let attempt = 1\n let disposeLink: () => void = () => {}\n while (attempt <= maxAttempts) {\n if (ctx.abortSignal.aborted) return\n\n const internalController = new AbortController()\n let timeoutHandle: ReturnType | undefined\n const requestTimeoutMs = merged.requestTimeoutMs ?? 0\n if (requestTimeoutMs > 0) {\n timeoutHandle = setTimeout(() => internalController.abort(), requestTimeoutMs)\n }\n disposeLink()\n const { signal: linkedSignal, dispose: disposeCurrentLink } = linkAbortSignals([\n ctx.abortSignal,\n internalController.signal,\n ])\n disposeLink = disposeCurrentLink\n\n try {\n response = await fetchFn(url, {\n method: 'POST',\n headers,\n body: JSON.stringify(body),\n signal: linkedSignal,\n })\n } catch (err) {\n if (timeoutHandle !== undefined) clearTimeout(timeoutHandle)\n if (ctx.abortSignal.aborted) return\n if (internalController.signal.aborted) {\n helpers.log.warn({\n kind: 'request-timeout',\n message: `Request timed out after ${requestTimeoutMs}ms on attempt ${attempt}/${maxAttempts}`,\n payload: { requestTimeoutMs, attempt, maxAttempts },\n })\n if (attempt < maxAttempts) {\n const delay = computeBackoff(attempt, retryCfg)\n await sleepWithJitter(delay, ctx.abortSignal)\n attempt += 1\n continue\n }\n ctx.nack(new E_OLLAMA_REQUEST_TIMEOUT([requestTimeoutMs]))\n return\n }\n helpers.log.error({\n kind: 'transport-error',\n message: `Transport failure on attempt ${attempt}/${maxAttempts}: ${isError(err) ? err.message : String(err)}`,\n payload: { attempt, maxAttempts, detail: isError(err) ? err.message : String(err) },\n })\n ctx.nack(new E_OLLAMA_HTTP_ERROR([0, isError(err) ? err.message : String(err)]))\n return\n }\n\n if (timeoutHandle !== undefined) clearTimeout(timeoutHandle)\n\n if (!response.ok) {\n const status = response.status\n const retriable = retryCfg.retriableStatuses.includes(status)\n if (retriable && attempt < maxAttempts) {\n let delay = computeBackoff(attempt, retryCfg)\n if (retryCfg.honorRetryAfter !== false) {\n const ra = response.headers.get('Retry-After')\n if (ra) {\n const raMs = parseRetryAfter(ra)\n if (raMs > 0) delay = Math.min(Math.max(delay, raMs), retryCfg.maxDelayMs)\n }\n }\n helpers.log.warn({\n kind: 'retry-attempt',\n message: `HTTP ${status} on attempt ${attempt}/${maxAttempts}; retrying in ~${delay}ms`,\n payload: {\n reason: 'http-status',\n status,\n delayMs: delay,\n attempt: attempt + 1,\n maxAttempts,\n },\n })\n await sleepWithJitter(delay, ctx.abortSignal)\n attempt += 1\n continue\n }\n const errBody = await response.text().catch(() => '')\n helpers.log.error({\n kind: 'http-error',\n message: `HTTP ${status} (terminal): ${errBody.slice(0, 256)}`,\n payload: { status, body: errBody, attempt, maxAttempts, retriable },\n })\n ctx.nack(new E_OLLAMA_HTTP_ERROR([status, errBody]))\n return\n }\n\n break\n }\n\n if (!response) return\n\n const spoolStore = merged.spoolStore ?? new InMemorySpoolStore()\n const selfIdentity = merged.selfIdentity ?? 'assistant'\n\n // ── Inner helper: persist + execute one assembled tool call ───────────\n const executeAndPersistToolCall = async (call: AssembledOllamaToolCall): Promise => {\n // Resolve the provider id once at ingress so reporting, persistence, and spooling agree.\n const callId = merged.toolCallIdFilter?.(call.id, ctx) ?? call.id\n const tool = ctx.tools.get(call.name)\n // Native /api/chat delivers `arguments` already parsed as an object. Validate it IS an\n // object (defensive against a non-conformant server/proxy emitting an array/null/primitive)\n // — there is no JSON.parse step. A non-object short-circuits to a persisted error ToolCall.\n let args: Record = {}\n let parseError: InstanceType | undefined\n if (isObject(call.args)) {\n args = call.args\n } else {\n const receivedKind = Array.isArray(call.args)\n ? 'array'\n : call.args === null\n ? 'null'\n : typeof call.args\n parseError = new E_OLLAMA_INVALID_TOOL_CALL_ARGS([\n `must be a JSON object; received ${receivedKind}`,\n JSON.stringify(call.args),\n ])\n }\n const completedAt = nowIso()\n if (parseError !== undefined) {\n const toolName = normalizeToolName(call.name)\n const results = new Tokenizable(parseError.message)\n helpers.reportToolCall(callId, { tool: toolName, args })\n helpers.reportToolCall(callId, { results, isError: true, isComplete: true })\n await ctx.storeToolCall(\n new ToolCall({\n id: callId,\n tool: toolName,\n args,\n checksum: computeChecksum(toolName, args),\n isComplete: true,\n isError: true,\n results,\n createdAt: completedAt,\n updatedAt: completedAt,\n completedAt,\n })\n )\n return\n }\n if (!tool) {\n const toolName = normalizeToolName(call.name)\n const available = ctx.tools\n .all()\n .map((t) => t.name)\n .sort()\n const errText =\n available.length > 0\n ? `Tool not found: ${toolName}. Available tools: ${available.join(', ')}.`\n : `Tool not found: ${toolName}. No tools are available this turn.`\n const results = new Tokenizable(errText)\n helpers.reportToolCall(callId, { tool: toolName, args })\n helpers.reportToolCall(callId, { results, isError: true, isComplete: true })\n await ctx.storeToolCall(\n new ToolCall({\n id: callId,\n tool: toolName,\n args,\n checksum: computeChecksum(toolName, args),\n isComplete: true,\n isError: true,\n results,\n createdAt: completedAt,\n updatedAt: completedAt,\n completedAt,\n })\n )\n return\n }\n helpers.reportToolCall(callId, { tool: tool.name, args })\n const isArtifactTool = ArtifactTool.isArtifactTool(tool)\n let results: Tokenizable | SpooledArtifact | SpooledArtifact[] | Media | Media[] =\n new Tokenizable('')\n let toolHadError = false\n try {\n const raw = await tool.executor(ctx)(args)\n if (isArtifactTool) {\n if (Tokenizable.isTokenizable(raw)) {\n results = raw\n } else if (typeof raw === 'string') {\n results = new Tokenizable(raw)\n } else {\n throw new Error(\n `ArtifactTool \"${tool.name}\" returned a non-string/non-Tokenizable value`\n )\n }\n } else if (Media.isMedia(raw)) {\n results = raw\n } else if (Array.isArray(raw) && raw.length > 0 && raw.every((m) => Media.isMedia(m))) {\n results = raw as Media[]\n } else if (looksLikeSpooledArtifact(raw)) {\n results = raw as SpooledArtifact\n } else if (typeof raw === 'string' || isInstanceOf(raw, 'Uint8Array', Uint8Array)) {\n const reader = await spoolStore.write(callId, raw as string | Uint8Array)\n const ArtifactCtor = (tool as Tool).artifactConstructor?.() ?? SpooledArtifact\n results = new ArtifactCtor(reader)\n } else {\n const reader = await spoolStore.write(callId, String(raw))\n const ArtifactCtor = (tool as Tool).artifactConstructor?.() ?? SpooledArtifact\n results = new ArtifactCtor(reader)\n }\n } catch (err) {\n toolHadError = true\n let detailMsg = isError(err) ? err.message : String(err)\n if (\n isError(err) &&\n isError(err.cause) &&\n err.cause.message &&\n err.cause.message !== err.message\n ) {\n detailMsg = `${detailMsg} ${err.cause.message}`\n }\n results = new Tokenizable(detailMsg)\n }\n helpers.reportToolCall(callId, { results, isError: toolHadError, isComplete: true })\n const completedAt2 = nowIso()\n await ctx.storeToolCall(\n new ToolCall({\n id: callId,\n tool: tool.name,\n args,\n checksum: computeChecksum(tool.name, args),\n isComplete: true,\n isError: toolHadError,\n results,\n fromArtifactTool: isArtifactTool,\n // ArtifactTool results are the documented exception: they inline the slice the model queried\n // from a prior artifact (handing back a handle to a query result would be recursion). Every\n // other result keeps the secure default (inline:false → handle).\n inline: isArtifactTool,\n createdAt: completedAt2,\n updatedAt: completedAt2,\n completedAt: completedAt2,\n })\n )\n }\n\n // FALLBACK tool-call recovery. Native /api/chat tool-calling is authoritative; this is consulted\n // ONLY when the provider returned zero structured calls AND the caller opted in via\n // `localToolCallParser`. Small models routinely emit a call in a surface form the server template\n // misses (` {\n if (merged.localToolCallParser === undefined) return []\n if (typeof content !== 'string' || content.length === 0) return []\n const parser = resolveToolCallParser(merged.localToolCallParser)\n const toolNames = ctx.tools.visible().map((t) => t.name)\n return parser(content, { toolNames }).calls.map((c) => ({\n id: uuidv6(),\n name: c.name,\n args: c.arguments as Record,\n }))\n }\n\n // ── Step 8: streaming path (NDJSON) ───────────────────────────────────\n if (stream) {\n if (!response.body) {\n ctx.nack(new E_OLLAMA_STREAM_ERROR(['response has no body']))\n return\n }\n const reader = response.body.getReader()\n const decoder = new TextDecoder()\n const streamId = dispatchStreamId\n\n let buffer = ''\n let idleTimer: ReturnType | undefined\n let stalled = false\n let partialMessageContent = ''\n let sawMessageDelta = false\n let partialThinking = ''\n let sawThinking = false\n let doneSeen = false\n const collectedToolCalls: AssembledOllamaToolCall[] = []\n const thoughtStreamId = `${streamId}:thought`\n\n const idleMs = merged.streamIdleTimeoutMs ?? 0\n const armIdleTimer = (): void => {\n if (idleMs <= 0) return\n if (idleTimer) clearTimeout(idleTimer)\n idleTimer = setTimeout(() => {\n stalled = true\n helpers.log.warn({\n kind: 'stream-idle-timeout',\n message: `NDJSON stream went idle for ${idleMs}ms; cancelling`,\n payload: { idleMs },\n })\n reader.cancel().catch(() => {})\n }, idleMs)\n }\n const clearIdleTimer = (): void => {\n if (idleTimer) {\n clearTimeout(idleTimer)\n idleTimer = undefined\n }\n }\n\n const drainAndPersist = async (\n statsSrc: OllamaChatStreamChunk | undefined\n ): Promise => {\n if (sawMessageDelta) {\n helpers.reportMessage(streamId, '', { isComplete: true })\n await ctx.storeMessage(\n new Message({\n id: streamId,\n role: 'assistant',\n content: partialMessageContent,\n identity: selfIdentity,\n createdAt: nowIso(),\n updatedAt: nowIso(),\n })\n )\n }\n if (sawThinking) {\n helpers.reportThought(thoughtStreamId, '', { isComplete: true })\n await ctx.storeThought(\n new Thought({\n id: thoughtStreamId,\n content: partialThinking,\n identity: selfIdentity,\n createdAt: nowIso(),\n updatedAt: nowIso(),\n })\n )\n }\n if (statsSrc !== undefined) {\n helpers.reportGenerationStats(extractGenerationStats(statsSrc, merged.model))\n }\n\n // Fallback recovery (opt-in): if the server returned no structured calls, try to parse one out\n // of the accumulated `content`. Consulted only when native calls are absent, so the provider\n // always wins.\n const fallbackCalls =\n collectedToolCalls.length === 0 ? parseFallbackToolCalls(partialMessageContent) : []\n const effectiveCalls = collectedToolCalls.length > 0 ? collectedToolCalls : fallbackCalls\n\n // Raw-generation observability tap (FROM Ollama) — streaming path. `rawText`/`cleanedText` are\n // the accumulated assistant content; `toolCalls` are the calls this dispatch will act on\n // (native, or fallback-recovered — args already an object). Fired once at stream drain;\n // observer errors swallowed.\n if (merged.onRawGeneration) {\n try {\n merged.onRawGeneration({\n rawText: partialMessageContent,\n cleanedText: partialMessageContent,\n reasoning: sawThinking ? [partialThinking] : [],\n toolCalls: effectiveCalls.map((c) => ({\n name: c.name,\n arguments: c.args as never,\n })),\n streamed: true,\n streamId: dispatchStreamId,\n })\n } catch {\n /* observer errors are non-fatal */\n }\n }\n\n if (effectiveCalls.length === 0) {\n if (merged.autoAck) ctx.ack()\n return\n }\n for (const call of effectiveCalls) {\n if (ctx.abortSignal.aborted) return\n await executeAndPersistToolCall(call)\n }\n }\n\n const handleChunk = (chunk: OllamaChatStreamChunk): void => {\n const m = chunk.message\n if (m) {\n if (typeof m.content === 'string' && m.content.length > 0) {\n sawMessageDelta = true\n partialMessageContent += m.content\n helpers.reportMessage(streamId, m.content)\n }\n if (typeof m.thinking === 'string' && m.thinking.length > 0) {\n sawThinking = true\n partialThinking += m.thinking\n helpers.reportThought(thoughtStreamId, m.thinking)\n }\n if (Array.isArray(m.tool_calls)) {\n for (const tc of m.tool_calls) {\n collectedToolCalls.push({\n id: uuidv6(),\n name: tc.function?.name ?? '',\n args: (tc.function?.arguments ?? {}) as Record,\n })\n }\n }\n }\n }\n\n const parseLine = (line: string): OllamaChatStreamChunk | undefined => {\n const trimmed = line.trim()\n if (trimmed.length === 0) return undefined\n try {\n return JSON.parse(trimmed) as OllamaChatStreamChunk\n } catch {\n helpers.log.trace({\n kind: 'ndjson-parse-failure',\n message: 'Failed to parse NDJSON line as JSON; skipping',\n payload: { linePreview: trimmed.slice(0, 256) },\n })\n return undefined\n }\n }\n\n try {\n armIdleTimer()\n while (true) {\n const { done, value } = await reader.read()\n if (done) break\n armIdleTimer()\n if (ctx.abortSignal.aborted) {\n clearIdleTimer()\n return\n }\n buffer += decoder.decode(value, { stream: true })\n let nl = buffer.indexOf('\\n')\n while (nl !== -1) {\n const line = buffer.slice(0, nl)\n buffer = buffer.slice(nl + 1)\n const chunk = parseLine(line)\n if (chunk !== undefined) {\n handleChunk(chunk)\n if (chunk.done === true) {\n doneSeen = true\n clearIdleTimer()\n await drainAndPersist(chunk)\n return\n }\n }\n nl = buffer.indexOf('\\n')\n }\n }\n clearIdleTimer()\n if (stalled) {\n ctx.nack(new E_OLLAMA_STREAM_STALLED([idleMs]))\n return\n }\n // Flush any residual non-newline-terminated final line.\n if (!doneSeen && buffer.trim().length > 0) {\n const chunk = parseLine(buffer)\n buffer = ''\n if (chunk !== undefined) {\n handleChunk(chunk)\n if (chunk.done === true) {\n await drainAndPersist(chunk)\n return\n }\n }\n }\n if (!doneSeen) {\n helpers.log.warn({\n kind: 'ndjson-eof-without-done',\n message: 'NDJSON stream ended without a done:true chunk; draining accumulated state',\n })\n await drainAndPersist(undefined)\n }\n } catch (err) {\n clearIdleTimer()\n if (ctx.abortSignal.aborted) return\n if (stalled) {\n ctx.nack(new E_OLLAMA_STREAM_STALLED([idleMs]))\n return\n }\n helpers.log.error({\n kind: 'stream-error',\n message: `NDJSON stream failed: ${isError(err) ? err.message : String(err)}`,\n payload: { detail: isError(err) ? err.message : String(err) },\n })\n ctx.nack(new E_OLLAMA_STREAM_ERROR([isError(err) ? err.message : String(err)]))\n return\n }\n return\n }\n\n // ── Step 9: non-streaming path ────────────────────────────────────────\n let parsed: OllamaChatResponse\n try {\n parsed = (await response.json()) as OllamaChatResponse\n } catch (err) {\n ctx.nack(new E_OLLAMA_STREAM_ERROR([isError(err) ? err.message : String(err)]))\n return\n }\n const responseId = uuidv6()\n const msg = parsed.message\n\n if (msg && typeof msg.content === 'string' && msg.content.length > 0) {\n const messageId = `${responseId}:message`\n helpers.reportMessage(messageId, msg.content, { isComplete: true })\n await ctx.storeMessage(\n new Message({\n id: messageId,\n role: 'assistant',\n content: msg.content,\n identity: selfIdentity,\n createdAt: nowIso(),\n updatedAt: nowIso(),\n })\n )\n }\n if (msg && typeof msg.thinking === 'string' && msg.thinking.length > 0) {\n const thoughtId = `${responseId}:thought`\n helpers.reportThought(thoughtId, msg.thinking, { isComplete: true })\n await ctx.storeThought(\n new Thought({\n id: thoughtId,\n content: msg.thinking,\n identity: selfIdentity,\n createdAt: nowIso(),\n updatedAt: nowIso(),\n })\n )\n }\n\n helpers.reportGenerationStats(extractGenerationStats(parsed, merged.model))\n\n const rawCalls: OllamaToolCall[] = msg?.tool_calls ?? []\n const content = typeof msg?.content === 'string' ? msg.content : ''\n\n // Fallback recovery (opt-in): if the server returned no structured calls, try to parse one out of\n // the assistant `content`. Consulted only when native calls are absent, so the provider always wins.\n const nativeCalls: AssembledOllamaToolCall[] = rawCalls.map((tc) => ({\n id: uuidv6(),\n name: tc.function?.name ?? '',\n args: (tc.function?.arguments ?? {}) as Record,\n }))\n const calls = nativeCalls.length > 0 ? nativeCalls : parseFallbackToolCalls(content)\n\n // Raw-generation observability tap (FROM Ollama) — non-streaming path. `rawText`/`cleanedText` are\n // the returned assistant content; `toolCalls` are the calls this dispatch will act on (native, or\n // fallback-recovered — args already an object). Fired once per terminal generation; observer errors\n // swallowed.\n if (merged.onRawGeneration) {\n try {\n merged.onRawGeneration({\n rawText: content,\n cleanedText: content,\n reasoning:\n typeof msg?.thinking === 'string' && msg.thinking.length > 0 ? [msg.thinking] : [],\n toolCalls: calls.map((c) => ({\n name: c.name,\n arguments: c.args as never,\n })),\n streamed: false,\n streamId: dispatchStreamId,\n })\n } catch {\n /* observer errors are non-fatal */\n }\n }\n\n if (calls.length === 0) {\n if (merged.autoAck) ctx.ack()\n return\n }\n for (const call of calls) {\n if (ctx.abortSignal.aborted) return\n await executeAndPersistToolCall(call)\n }\n }\n }\n\n /**\n * Returns `true` when `value` is an {@link OllamaAdapter} instance.\n */\n public static isOllamaAdapter(value: unknown): value is OllamaAdapter {\n return isInstanceOf(value, 'OllamaAdapter', OllamaAdapter)\n 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