Add OpenAI Responses API adapter and developer role support

CHANGELOG.md

@@ -1,8 +1,14 @@
-
 # Changelog
 
 Notable additions, fixes, or breaking changes to the Freeplay SDK.
 
+## [0.6.0] - 2026-03-09
+
+### Added
+
+- **OpenAI Responses API support**: New `openai_responses` flavor with `OpenAIResponsesAdapter` that formats messages for the OpenAI Responses API (`{type: "message", role, content}`), strips system messages (use `instructions` parameter instead), and formats tool schemas in the flat Responses API style (`{type, name, description, parameters}`).
+- **`developer` role support**: New role coercion system via `prepareMessages()`. The `developer` role passes through natively for `openai_responses`, is coerced to `system` (with a warning) for `openai_chat`, and throws for unsupported flavors.
+
 ## [0.5.5] - 2026-02-10
 
 ### Added
@@ -60,6 +66,7 @@ Notable additions, fixes, or breaking changes to the Freeplay SDK.
   ```
 
   **Notes:**
+
   - Backend automatically normalizes all tool schema formats (OpenAI, Anthropic, GenAI/Vertex)
   - No breaking changes to the API - tool schemas are still passed the same way
   - This approach is consistent with how we handle messages from different providers

examples/ts-cjs/openaiResponsesApi.ts

@@ -0,0 +1,78 @@
+import Freeplay, { getCallInfo } from "freeplay";
+import OpenAI from "openai";
+
+async function main() {
+  const fpClient = new Freeplay({
+    freeplayApiKey: process.env["FREEPLAY_API_KEY"],
+    baseUrl: `${process.env["FREEPLAY_API_URL"]}/api`,
+  });
+
+  const openaiClient = new OpenAI({
+    apiKey: process.env["OPENAI_API_KEY"],
+  });
+
+  const inputVariables = { location: "San Francisco" };
+  const projectId = process.env["FREEPLAY_PROJECT_ID"]!;
+
+  const formattedPrompt = await fpClient.prompts.getFormatted({
+    projectId,
+    templateName: "my-openai-prompt",
+    environment: "latest",
+    variables: inputVariables,
+  });
+
+  console.log("Instructions (system):", formattedPrompt.systemContent);
+  console.log("Input messages:", formattedPrompt.llmPrompt);
+  console.log("Tool schema:", formattedPrompt.toolSchema);
+  console.log("Output schema:", formattedPrompt.outputSchema);
+
+  // Build the Responses API call parameters
+  const responseParams: Record<string, any> = {
+    ...formattedPrompt.promptInfo.modelParameters,
+  };
+  if (formattedPrompt.systemContent) {
+    responseParams.instructions = formattedPrompt.systemContent;
+  }
+  if (formattedPrompt.toolSchema) {
+    responseParams.tools = formattedPrompt.toolSchema;
+  }
+  if (formattedPrompt.outputSchema) {
+    responseParams.text = {
+      format: {
+        type: "json_schema",
+        strict: true,
+        schema: formattedPrompt.outputSchema,
+        name: "COTReasoning",
+      },
+    };
+  }
+
+  const start = new Date();
+  const completion = await openaiClient.responses.create({
+    input: formattedPrompt.llmPrompt as OpenAI.Responses.ResponseInput,
+    model: formattedPrompt.promptInfo.model,
+    ...responseParams,
+  });
+  const end = new Date();
+
+  console.log("Completion:", completion);
+
+  // Record to Freeplay
+  const messages = formattedPrompt.allMessages(completion.output);
+
+  await fpClient.recordings.create({
+    projectId,
+    allMessages: messages,
+    inputs: inputVariables,
+    promptVersionInfo: formattedPrompt.promptInfo,
+    callInfo: getCallInfo(formattedPrompt.promptInfo, start, end, {
+      promptTokens: completion.usage.input_tokens,
+      completionTokens: completion.usage.output_tokens,
+    }),
+    toolSchema: formattedPrompt.toolSchema,
+  });
+
+  console.log("Recording created successfully");
+}
+
+main().catch(console.error);

examples/ts-cjs/package.json

@@ -14,6 +14,7 @@
     "example": "source ../../.env && ts-node testRunExampleOpenAI.ts",
     "test-run": "source ../../.env && ts-node testRunWithAgentDataset.ts",
     "vertex": "source ../../.env && ts-node vertexGeminiTools.ts",
-    "nested-traces": "source ../../.env && ts-node traceWithParentId.ts"
+    "nested-traces": "source ../../.env && ts-node traceWithParentId.ts",
+    "openai-responses": "source ../../.env && ts-node openaiResponsesApi.ts"
   }
 }

package.json

@@ -1,6 +1,6 @@
 {
   "name": "freeplay",
-  "version": "0.5.5",
+  "version": "0.6.0",
   "description": "Node.js/Typescript SDK for Freeplay AI",
   "type": "module",
   "typesVersions": {

src/model.ts

@@ -14,7 +14,7 @@ export type MediaSlot = {
 };
 
 export type StrictChatMessage = {
-  role: "system" | "assistant" | "user";
+  role: "system" | "assistant" | "user" | "developer";
   content: string;
   kind?: string;
 };
@@ -141,8 +141,56 @@ export type LLMMessage = string | ProviderMessage[];
 
 export type CustomMetadata = Record<string, string | number | boolean>;
 
+export type RoleSupport = {
+  supported: ReadonlySet<string>;
+  coerceMap: Readonly<Record<string, string>>;
+};
+
+const DEFAULT_ROLE_SUPPORT: RoleSupport = {
+  supported: new Set(["system", "user", "assistant"]),
+  coerceMap: {},
+};
+
+const OPENAI_ROLE_SUPPORT: RoleSupport = {
+  supported: new Set(["system", "user", "assistant", "tool"]),
+  coerceMap: { developer: "system" },
+};
+
+const OPENAI_RESPONSES_ROLE_SUPPORT: RoleSupport = {
+  supported: new Set(["system", "user", "assistant", "developer", "tool"]),
+  coerceMap: {},
+};
+
+const GEMINI_ROLE_SUPPORT: RoleSupport = {
+  supported: new Set(["system", "user", "assistant", "model"]),
+  coerceMap: {},
+};
+
+export function prepareMessages(
+  messages: ProviderMessage[],
+  roleSupport: RoleSupport,
+): ProviderMessage[] {
+  return messages.map((message) => {
+    const role = message.role;
+    if (roleSupport.supported.has(role)) {
+      return message;
+    }
+    const coerced = roleSupport.coerceMap[role];
+    if (coerced) {
+      console.warn(
+        `Role '${role}' is not natively supported by this flavor. Coercing to '${coerced}'.`,
+      );
+      return { ...message, role: coerced };
+    }
+    throw new FreeplayConfigurationError(
+      `Role '${role}' is not supported by this flavor.`,
+    );
+  });
+}
+
 // Thin requirements of a "Flavor".
 interface ILLMAdapter<LLMFormat> {
+  roleSupport: RoleSupport;
   provider(): string;
 
   toLLMSyntax(messages: ProviderMessage[]): LLMFormat;
@@ -165,6 +213,8 @@ export class LLMAdapters {
         return new GeminiLLMAdapter();
       case "gemini_api_chat":
         return new GeminiApiLLMAdapter();
+      case "openai_responses":
+        return new OpenAIResponsesAdapter();
       case "amazon_bedrock_converse":
         return new BedrockConverseAdapter();
       default:
@@ -176,6 +226,8 @@ export class LLMAdapters {
 }
 
 export class AnthropicLLMAdapter implements ILLMAdapter<ProviderMessage[]> {
+  roleSupport = DEFAULT_ROLE_SUPPORT;
+
   provider(): string {
     return "anthropic";
   }
@@ -231,6 +283,8 @@ export class AnthropicLLMAdapter implements ILLMAdapter<ProviderMessage[]> {
 }
 
 export class OpenAILLMAdapter implements ILLMAdapter<ProviderMessage[]> {
+  roleSupport = OPENAI_ROLE_SUPPORT;
+
   provider(): string {
     return "openai";
   }
@@ -295,7 +349,20 @@ export class OpenAILLMAdapter implements ILLMAdapter<ProviderMessage[]> {
   }
 }
 
+export class OpenAIResponsesAdapter extends OpenAILLMAdapter {
+  roleSupport = OPENAI_RESPONSES_ROLE_SUPPORT;
+
+  toLLMSyntax(messages: ProviderMessage[]): ProviderMessage[] {
+    const formatted = super.toLLMSyntax(messages);
+    return formatted
+      .filter((message) => message.role !== "system")
+      .map((message) => ({ type: "message", ...message }));
+  }
+}
+
 export class Llama3LLMAdapter implements ILLMAdapter<string> {
+  roleSupport = DEFAULT_ROLE_SUPPORT;
+
   provider(): string {
     return "sagemaker";
   }
@@ -311,6 +378,8 @@ export class Llama3LLMAdapter implements ILLMAdapter<string> {
 export class BasetenMistralLLMAdapter
   implements ILLMAdapter<ProviderMessage[]>
 {
+  roleSupport = DEFAULT_ROLE_SUPPORT;
+
   provider(): string {
     return "baseten";
   }
@@ -321,6 +390,8 @@ export class BasetenMistralLLMAdapter
 }
 
 export class MistralLLMAdapter implements ILLMAdapter<ProviderMessage[]> {
+  roleSupport = DEFAULT_ROLE_SUPPORT;
+
   provider(): string {
     return "bedrock";
   }
@@ -331,6 +402,8 @@ export class MistralLLMAdapter implements ILLMAdapter<ProviderMessage[]> {
 }
 
 export class GeminiLLMAdapter implements ILLMAdapter<GeminiChatMessage[]> {
+  roleSupport = GEMINI_ROLE_SUPPORT;
+
   provider(): string {
     return "vertex";
   }
@@ -407,6 +480,8 @@ export class GeminiApiLLMAdapter extends GeminiLLMAdapter {
 }
 
 export class BedrockConverseAdapter implements ILLMAdapter<ProviderMessage[]> {
+  roleSupport = DEFAULT_ROLE_SUPPORT;
+
   provider(): string {
     return "bedrock";
   }
@@ -501,7 +576,8 @@ export type FlavorSpecifier =
   | "baseten_mistral_chat"
   | "mistral_chat"
   | "gemini_chat"
-  | "gemini_api_chat";
+  | "gemini_api_chat"
+  | "openai_responses";
 export type Provider =
   | "openai"
   | "azure_openai"