fix(ai): Fix OpenAI Responses provider multi-turn conversation support

- Added contentSignature tracking for assistant messages
- Fixed message format in convertToResponsesFormat (output_text instead of input_text)
- Properly preserve message IDs for multi-turn conversations
- Added proper ResponseOutputMessage type satisfaction
- Updated tests to cover more providers and multi-turn scenarios
This commit is contained in:
Mario Zechner 2025-08-30 22:55:11 +02:00
parent 2e90f8f8bc
commit cff766d3e2
12 changed files with 126 additions and 105 deletions

12
package-lock.json generated
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@ -2716,10 +2716,10 @@
},
"packages/agent": {
"name": "@mariozechner/pi-agent",
"version": "0.5.12",
"version": "0.5.13",
"license": "MIT",
"dependencies": {
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"@mariozechner/pi-tui": "^0.5.12",
"@types/glob": "^8.1.0",
"chalk": "^5.5.0",
"glob": "^11.0.3",
@ -3098,7 +3098,7 @@
},
"packages/ai": {
"name": "@mariozechner/pi-ai",
"version": "0.5.12",
"version": "0.5.13",
"license": "MIT",
"dependencies": {
"@anthropic-ai/sdk": "^0.60.0",
@ -3134,10 +3134,10 @@
},
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"version": "0.5.13",
"license": "MIT",
"dependencies": {
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},
"bin": {
@ -3150,7 +3150,7 @@
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"dependencies": {
"@types/mime-types": "^2.1.4",

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@ -1,12 +1,12 @@
{
"name": "@mariozechner/pi-agent",
"version": "0.5.12",
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"lockfileVersion": 3,
"requires": true,
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@ -1,6 +1,6 @@
{
"name": "@mariozechner/pi-agent",
"version": "0.5.12",
"version": "0.5.13",
"description": "General-purpose agent with tool calling and session persistence",
"type": "module",
"bin": {
@ -18,7 +18,7 @@
"prepublishOnly": "npm run clean && npm run build"
},
"dependencies": {
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"@types/glob": "^8.1.0",
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"glob": "^11.0.3",

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@ -1,6 +1,6 @@
{
"name": "@mariozechner/pi-ai",
"version": "0.5.12",
"version": "0.5.13",
"description": "Unified LLM API with automatic model discovery and provider configuration",
"type": "module",
"main": "./dist/index.js",

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@ -1598,22 +1598,6 @@ export const PROVIDERS = {
contextWindow: 131072,
maxTokens: 16384,
} satisfies Model,
"meta-llama/llama-3.1-405b-instruct": {
id: "meta-llama/llama-3.1-405b-instruct",
name: "Meta: Llama 3.1 405B Instruct",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.7999999999999999,
output: 0.7999999999999999,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 16384,
} satisfies Model,
"meta-llama/llama-3.1-70b-instruct": {
id: "meta-llama/llama-3.1-70b-instruct",
name: "Meta: Llama 3.1 70B Instruct",
@ -1630,6 +1614,22 @@ export const PROVIDERS = {
contextWindow: 131072,
maxTokens: 16384,
} satisfies Model,
"meta-llama/llama-3.1-405b-instruct": {
id: "meta-llama/llama-3.1-405b-instruct",
name: "Meta: Llama 3.1 405B Instruct",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.7999999999999999,
output: 0.7999999999999999,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 16384,
} satisfies Model,
"mistralai/mistral-nemo": {
id: "mistralai/mistral-nemo",
name: "Mistral: Mistral Nemo",
@ -1646,6 +1646,22 @@ export const PROVIDERS = {
contextWindow: 32000,
maxTokens: 4096,
} satisfies Model,
"mistralai/mistral-7b-instruct-v0.3": {
id: "mistralai/mistral-7b-instruct-v0.3",
name: "Mistral: Mistral 7B Instruct v0.3",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.028,
output: 0.054,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 16384,
} satisfies Model,
"mistralai/mistral-7b-instruct:free": {
id: "mistralai/mistral-7b-instruct:free",
name: "Mistral: Mistral 7B Instruct (free)",
@ -1678,22 +1694,6 @@ export const PROVIDERS = {
contextWindow: 32768,
maxTokens: 16384,
} satisfies Model,
"mistralai/mistral-7b-instruct-v0.3": {
id: "mistralai/mistral-7b-instruct-v0.3",
name: "Mistral: Mistral 7B Instruct v0.3",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.028,
output: 0.054,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 16384,
} satisfies Model,
"microsoft/phi-3-mini-128k-instruct": {
id: "microsoft/phi-3-mini-128k-instruct",
name: "Microsoft: Phi-3 Mini 128K Instruct",
@ -1726,22 +1726,6 @@ export const PROVIDERS = {
contextWindow: 128000,
maxTokens: 4096,
} satisfies Model,
"meta-llama/llama-3-8b-instruct": {
id: "meta-llama/llama-3-8b-instruct",
name: "Meta: Llama 3 8B Instruct",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.03,
output: 0.06,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 8192,
maxTokens: 16384,
} satisfies Model,
"meta-llama/llama-3-70b-instruct": {
id: "meta-llama/llama-3-70b-instruct",
name: "Meta: Llama 3 70B Instruct",
@ -1758,6 +1742,22 @@ export const PROVIDERS = {
contextWindow: 8192,
maxTokens: 16384,
} satisfies Model,
"meta-llama/llama-3-8b-instruct": {
id: "meta-llama/llama-3-8b-instruct",
name: "Meta: Llama 3 8B Instruct",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.03,
output: 0.06,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 8192,
maxTokens: 16384,
} satisfies Model,
"mistralai/mixtral-8x22b-instruct": {
id: "mistralai/mixtral-8x22b-instruct",
name: "Mistral: Mixtral 8x22B Instruct",
@ -1854,22 +1854,6 @@ export const PROVIDERS = {
contextWindow: 128000,
maxTokens: 4096,
} satisfies Model,
"mistralai/mistral-small": {
id: "mistralai/mistral-small",
name: "Mistral Small",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.19999999999999998,
output: 0.6,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 4096,
} satisfies Model,
"mistralai/mistral-tiny": {
id: "mistralai/mistral-tiny",
name: "Mistral Tiny",
@ -1886,6 +1870,22 @@ export const PROVIDERS = {
contextWindow: 32768,
maxTokens: 4096,
} satisfies Model,
"mistralai/mistral-small": {
id: "mistralai/mistral-small",
name: "Mistral Small",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
reasoning: false,
input: ["text"],
cost: {
input: 0.19999999999999998,
output: 0.6,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 32768,
maxTokens: 4096,
} satisfies Model,
"mistralai/mixtral-8x7b-instruct": {
id: "mistralai/mixtral-8x7b-instruct",
name: "Mistral: Mixtral 8x7B Instruct",
@ -2473,21 +2473,6 @@ export const PROVIDERS = {
contextWindow: 16385,
maxTokens: 4096,
} satisfies Model,
"gpt-3.5-turbo": {
id: "gpt-3.5-turbo",
name: "OpenAI: GPT-3.5 Turbo",
provider: "openai",
reasoning: false,
input: ["text"],
cost: {
input: 0.5,
output: 1.5,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 16385,
maxTokens: 4096,
} satisfies Model,
"gpt-4": {
id: "gpt-4",
name: "OpenAI: GPT-4",
@ -2518,6 +2503,21 @@ export const PROVIDERS = {
contextWindow: 8191,
maxTokens: 4096,
} satisfies Model,
"gpt-3.5-turbo": {
id: "gpt-3.5-turbo",
name: "OpenAI: GPT-3.5 Turbo",
provider: "openai",
reasoning: false,
input: ["text"],
cost: {
input: 0.5,
output: 1.5,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 16385,
maxTokens: 4096,
} satisfies Model,
},
},
anthropic: {
@ -2597,9 +2597,9 @@ export const PROVIDERS = {
contextWindow: 200000,
maxTokens: 64000,
} satisfies Model,
"claude-3-5-haiku-latest": {
id: "claude-3-5-haiku-latest",
name: "Anthropic: Claude 3.5 Haiku",
"claude-3-5-haiku-20241022": {
id: "claude-3-5-haiku-20241022",
name: "Anthropic: Claude 3.5 Haiku (2024-10-22)",
provider: "anthropic",
reasoning: false,
input: ["text", "image"],
@ -2612,9 +2612,9 @@ export const PROVIDERS = {
contextWindow: 200000,
maxTokens: 8192,
} satisfies Model,
"claude-3-5-haiku-20241022": {
id: "claude-3-5-haiku-20241022",
name: "Anthropic: Claude 3.5 Haiku (2024-10-22)",
"claude-3-5-haiku-latest": {
id: "claude-3-5-haiku-latest",
name: "Anthropic: Claude 3.5 Haiku",
provider: "anthropic",
reasoning: false,
input: ["text", "image"],

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@ -8,6 +8,7 @@ import type {
ResponseInputText,
ResponseReasoningItem,
} from "openai/resources/responses/responses.js";
import type { ResponseOutputMessage } from "openai/resources/responses/responses.mjs";
import type {
AssistantMessage,
Context,
@ -83,6 +84,7 @@ export class OpenAIResponsesLLM implements LLM<OpenAIResponsesLLMOptions> {
});
let content = "";
let contentSignature = "";
let thinking = "";
const toolCalls: ToolCall[] = [];
const reasoningItems: ResponseReasoningItem[] = [];
@ -117,6 +119,7 @@ export class OpenAIResponsesLLM implements LLM<OpenAIResponsesLLMOptions> {
content = event.text;
}
options?.onText?.("", true);
contentSignature = event.item_id;
}
// Handle function calls
else if (event.type === "response.output_item.done") {
@ -167,6 +170,7 @@ export class OpenAIResponsesLLM implements LLM<OpenAIResponsesLLMOptions> {
return {
role: "assistant",
content: content || undefined,
contentSignature: contentSignature || undefined,
thinking: thinking || undefined,
thinkingSignature: JSON.stringify(reasoningItems) || undefined,
toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
@ -257,8 +261,10 @@ export class OpenAIResponsesLLM implements LLM<OpenAIResponsesLLMOptions> {
output.push({
type: "message",
role: "assistant",
content: [{ type: "input_text", text: msg.content }],
});
content: [{ type: "output_text", text: msg.content, annotations: [] }],
status: "completed",
id: msg.contentSignature || "msg_" + Math.random().toString(36).substring(2, 15),
} satisfies ResponseOutputMessage);
}
// Add all output items to input
input.push(...output);

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@ -33,6 +33,9 @@ export interface AssistantMessage {
// Leaky abstraction: provider specific, does not translate to other providers
thinkingSignature?: string;
content?: string;
// Leaky abstraction: provider specific, does not translate to other providers
// e.g. OpenAI responses must include id for assistant responses
contentSignature?: string;
toolCalls?: {
id: string;
name: string;

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@ -48,6 +48,18 @@ async function basicTextGeneration<T extends LLMOptions>(llm: LLM<T>) {
expect(response.usage.output).toBeGreaterThan(0);
expect(response.error).toBeFalsy();
expect(response.content).toContain("Hello test successful");
context.messages.push(response);
context.messages.push({ role: "user", content: "Now say 'Goodbye test successful'" });
const secondResponse = await llm.complete(context);
expect(secondResponse.role).toBe("assistant");
expect(secondResponse.content).toBeTruthy();
expect(secondResponse.usage.input).toBeGreaterThan(0);
expect(secondResponse.usage.output).toBeGreaterThan(0);
expect(secondResponse.error).toBeFalsy();
expect(secondResponse.content).toContain("Goodbye test successful");
}
async function handleToolCall<T extends LLMOptions>(llm: LLM<T>) {

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@ -1,12 +1,12 @@
{
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"dependencies": {
"@ai-sdk/openai": "^2.0.5",

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@ -1,6 +1,6 @@
{
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"bin": {
@ -34,7 +34,7 @@
"node": ">=20.0.0"
},
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"chalk": "^5.5.0"
},
"devDependencies": {}

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@ -1,12 +1,12 @@
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"name": "@mariozechner/tui",
"version": "0.5.12",
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"license": "MIT",
"dependencies": {
"@types/mime-types": "^2.1.4",

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@ -1,6 +1,6 @@
{
"name": "@mariozechner/pi-tui",
"version": "0.5.12",
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"description": "Terminal User Interface library with differential rendering for efficient text-based applications",
"type": "module",
"main": "dist/index.js",