Pi Runner: gate parallel_tool_calls to compatible APIs (#39356)

* Pi Runner: gate parallel_tool_calls payload injection

* Pi Runner: cover parallel_tool_calls alias precedence

* Changelog: note parallel_tool_calls compatibility fix

* Update CHANGELOG.md

* Pi Runner: clarify null parallel_tool_calls override logging

CHANGELOG.md

@@ -332,6 +332,7 @@ Docs: https://docs.openclaw.ai
 - Discord/DM session-key normalization: rewrite legacy `discord:dm:*` and phantom direct-message `discord:channel:<user>` session keys to `discord:direct:*` when the sender matches, so multi-agent Discord DMs stop falling into empty channel-shaped sessions and resume replying correctly.
 - Discord/native slash session fallback: treat empty configured bound-session keys as missing so `/status` and other native commands fall back to the routed slash session and routed channel session instead of blanking Discord session keys in normal channel bindings.
 - Agents/tool-call dispatch normalization: normalize provider-prefixed tool names before dispatch across `toolCall`, `toolUse`, and `functionCall` blocks, while preserving multi-segment tool suffixes when stripping provider wrappers so malformed-but-recoverable tool names no longer fail with `Tool not found`. (#39328) Thanks @vincentkoc.
+- Agents/parallel tool-call compatibility: honor `parallel_tool_calls` / `parallelToolCalls` extra params only for `openai-completions` and `openai-responses` payloads, preserve higher-precedence alias overrides across config and runtime layers, and ignore invalid non-boolean values so single-tool-call providers like NVIDIA-hosted Kimi stop failing on forced parallel tool-call payloads. (#37048) Thanks @vincentkoc.
 - Config/invalid-load fail-closed: stop converting `INVALID_CONFIG` into an empty runtime config, keep valid settings available only through explicit best-effort diagnostic reads, and route read-only CLI diagnostics through that path so unknown keys no longer silently drop security-sensitive config. (#28140) Thanks @bobsahur-robot and @vincentkoc.
 
 ## 2026.3.2

src/agents/pi-embedded-runner-extraparams.test.ts

@@ -116,6 +116,39 @@ describe("resolveExtraParams", () => {
     });
   });
 
+  it("preserves higher-precedence agent parallelToolCalls override across alias styles", () => {
+    const result = resolveExtraParams({
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "openai/gpt-4.1": {
+                params: {
+                  parallel_tool_calls: true,
+                },
+              },
+            },
+          },
+          list: [
+            {
+              id: "main",
+              params: {
+                parallelToolCalls: false,
+              },
+            },
+          ],
+        },
+      },
+      provider: "openai",
+      modelId: "gpt-4.1",
+      agentId: "main",
+    });
+
+    expect(result).toEqual({
+      parallel_tool_calls: false,
+    });
+  });
+
   it("ignores per-agent params when agentId does not match", () => {
     const result = resolveExtraParams({
       cfg: {
@@ -190,6 +223,32 @@ describe("applyExtraParamsToAgent", () => {
     return payload;
   }
 
+  function runParallelToolCallsPayloadMutationCase(params: {
+    applyProvider: string;
+    applyModelId: string;
+    model: Model<"openai-completions"> | Model<"openai-responses"> | Model<"anthropic-messages">;
+    cfg?: Record<string, unknown>;
+    extraParamsOverride?: Record<string, unknown>;
+    payload?: Record<string, unknown>;
+  }) {
+    const payload = params.payload ?? {};
+    const baseStreamFn: StreamFn = (_model, _context, options) => {
+      options?.onPayload?.(payload);
+      return {} as ReturnType<StreamFn>;
+    };
+    const agent = { streamFn: baseStreamFn };
+    applyExtraParamsToAgent(
+      agent,
+      params.cfg as Parameters<typeof applyExtraParamsToAgent>[1],
+      params.applyProvider,
+      params.applyModelId,
+      params.extraParamsOverride,
+    );
+    const context: Context = { messages: [] };
+    void agent.streamFn?.(params.model, context, {});
+    return payload;
+  }
+
   function runAnthropicHeaderCase(params: {
     cfg: Record<string, unknown>;
     modelId: string;
@@ -350,6 +409,181 @@ describe("applyExtraParamsToAgent", () => {
     expect(payloads[0]).not.toHaveProperty("reasoning_effort");
   });
 
+  it("injects parallel_tool_calls for openai-completions payloads when configured", () => {
+    const payload = runParallelToolCallsPayloadMutationCase({
+      applyProvider: "nvidia-nim",
+      applyModelId: "moonshotai/kimi-k2.5",
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "nvidia-nim/moonshotai/kimi-k2.5": {
+                params: {
+                  parallel_tool_calls: false,
+                },
+              },
+            },
+          },
+        },
+      },
+      model: {
+        api: "openai-completions",
+        provider: "nvidia-nim",
+        id: "moonshotai/kimi-k2.5",
+      } as Model<"openai-completions">,
+    });
+
+    expect(payload.parallel_tool_calls).toBe(false);
+  });
+
+  it("injects parallel_tool_calls for openai-responses payloads when configured", () => {
+    const payload = runParallelToolCallsPayloadMutationCase({
+      applyProvider: "openai",
+      applyModelId: "gpt-5",
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "openai/gpt-5": {
+                params: {
+                  parallelToolCalls: true,
+                },
+              },
+            },
+          },
+        },
+      },
+      model: {
+        api: "openai-responses",
+        provider: "openai",
+        id: "gpt-5",
+        baseUrl: "https://api.openai.com/v1",
+      } as unknown as Model<"openai-responses">,
+    });
+
+    expect(payload.parallel_tool_calls).toBe(true);
+  });
+
+  it("does not inject parallel_tool_calls for unsupported APIs", () => {
+    const payload = runParallelToolCallsPayloadMutationCase({
+      applyProvider: "anthropic",
+      applyModelId: "claude-sonnet-4-6",
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "anthropic/claude-sonnet-4-6": {
+                params: {
+                  parallel_tool_calls: false,
+                },
+              },
+            },
+          },
+        },
+      },
+      model: {
+        api: "anthropic-messages",
+        provider: "anthropic",
+        id: "claude-sonnet-4-6",
+      } as Model<"anthropic-messages">,
+    });
+
+    expect(payload).not.toHaveProperty("parallel_tool_calls");
+  });
+
+  it("lets runtime override win across alias styles for parallel_tool_calls", () => {
+    const payload = runParallelToolCallsPayloadMutationCase({
+      applyProvider: "nvidia-nim",
+      applyModelId: "moonshotai/kimi-k2.5",
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "nvidia-nim/moonshotai/kimi-k2.5": {
+                params: {
+                  parallel_tool_calls: true,
+                },
+              },
+            },
+          },
+        },
+      },
+      extraParamsOverride: {
+        parallelToolCalls: false,
+      },
+      model: {
+        api: "openai-completions",
+        provider: "nvidia-nim",
+        id: "moonshotai/kimi-k2.5",
+      } as Model<"openai-completions">,
+    });
+
+    expect(payload.parallel_tool_calls).toBe(false);
+  });
+
+  it("lets null runtime override suppress inherited parallel_tool_calls injection", () => {
+    const payload = runParallelToolCallsPayloadMutationCase({
+      applyProvider: "nvidia-nim",
+      applyModelId: "moonshotai/kimi-k2.5",
+      cfg: {
+        agents: {
+          defaults: {
+            models: {
+              "nvidia-nim/moonshotai/kimi-k2.5": {
+                params: {
+                  parallel_tool_calls: true,
+                },
+              },
+            },
+          },
+        },
+      },
+      extraParamsOverride: {
+        parallelToolCalls: null,
+      },
+      model: {
+        api: "openai-completions",
+        provider: "nvidia-nim",
+        id: "moonshotai/kimi-k2.5",
+      } as Model<"openai-completions">,
+    });
+
+    expect(payload).not.toHaveProperty("parallel_tool_calls");
+  });
+
+  it("warns and skips invalid parallel_tool_calls values", () => {
+    const warnSpy = vi.spyOn(log, "warn").mockImplementation(() => undefined);
+    try {
+      const payload = runParallelToolCallsPayloadMutationCase({
+        applyProvider: "nvidia-nim",
+        applyModelId: "moonshotai/kimi-k2.5",
+        cfg: {
+          agents: {
+            defaults: {
+              models: {
+                "nvidia-nim/moonshotai/kimi-k2.5": {
+                  params: {
+                    parallelToolCalls: "false",
+                  },
+                },
+              },
+            },
+          },
+        },
+        model: {
+          api: "openai-completions",
+          provider: "nvidia-nim",
+          id: "moonshotai/kimi-k2.5",
+        } as Model<"openai-completions">,
+      });
+
+      expect(payload).not.toHaveProperty("parallel_tool_calls");
+      expect(warnSpy).toHaveBeenCalledWith("ignoring invalid parallel_tool_calls param: false");
+    } finally {
+      warnSpy.mockRestore();
+    }
+  });
+
   it("normalizes thinking=off to null for SiliconFlow Pro models", () => {
     const payloads: Record<string, unknown>[] = [];
     const baseStreamFn: StreamFn = (_model, _context, options) => {

src/agents/pi-embedded-runner/extra-params.ts

@@ -49,7 +49,18 @@ export function resolveExtraParams(params: {
     return undefined;
   }
 
-  return Object.assign({}, globalParams, agentParams);
+  const merged = Object.assign({}, globalParams, agentParams);
+  const resolvedParallelToolCalls = resolveAliasedParamValue(
+    [globalParams, agentParams],
+    "parallel_tool_calls",
+    "parallelToolCalls",
+  );
+  if (resolvedParallelToolCalls !== undefined) {
+    merged.parallel_tool_calls = resolvedParallelToolCalls;
+    delete merged.parallelToolCalls;
+  }
+
+  return merged;
 }
 
 type CacheRetention = "none" | "short" | "long";
@@ -1108,6 +1119,53 @@ function createZaiToolStreamWrapper(
   };
 }
 
+function resolveAliasedParamValue(
+  sources: Array<Record<string, unknown> | undefined>,
+  snakeCaseKey: string,
+  camelCaseKey: string,
+): unknown {
+  let resolved: unknown = undefined;
+  let seen = false;
+  for (const source of sources) {
+    if (!source) {
+      continue;
+    }
+    const hasSnakeCaseKey = Object.hasOwn(source, snakeCaseKey);
+    const hasCamelCaseKey = Object.hasOwn(source, camelCaseKey);
+    if (!hasSnakeCaseKey && !hasCamelCaseKey) {
+      continue;
+    }
+    resolved = hasSnakeCaseKey ? source[snakeCaseKey] : source[camelCaseKey];
+    seen = true;
+  }
+  return seen ? resolved : undefined;
+}
+
+function createParallelToolCallsWrapper(
+  baseStreamFn: StreamFn | undefined,
+  enabled: boolean,
+): StreamFn {
+  const underlying = baseStreamFn ?? streamSimple;
+  return (model, context, options) => {
+    if (model.api !== "openai-completions" && model.api !== "openai-responses") {
+      return underlying(model, context, options);
+    }
+    log.debug(
+      `applying parallel_tool_calls=${enabled} for ${model.provider ?? "unknown"}/${model.id ?? "unknown"} api=${model.api}`,
+    );
+    const originalOnPayload = options?.onPayload;
+    return underlying(model, context, {
+      ...options,
+      onPayload: (payload) => {
+        if (payload && typeof payload === "object") {
+          (payload as Record<string, unknown>).parallel_tool_calls = enabled;
+        }
+        originalOnPayload?.(payload);
+      },
+    });
+  };
+}
+
 /**
  * Apply extra params (like temperature) to an agent's streamFn.
  * Also adds OpenRouter app attribution headers when using the OpenRouter provider.
@@ -1123,7 +1181,7 @@ export function applyExtraParamsToAgent(
   thinkingLevel?: ThinkLevel,
   agentId?: string,
 ): void {
-  const extraParams = resolveExtraParams({
+  const resolvedExtraParams = resolveExtraParams({
     cfg,
     provider,
     modelId,
@@ -1142,7 +1200,7 @@ export function applyExtraParamsToAgent(
           Object.entries(extraParamsOverride).filter(([, value]) => value !== undefined),
         )
       : undefined;
-  const merged = Object.assign({}, extraParams, override);
+  const merged = Object.assign({}, resolvedExtraParams, override);
   const wrappedStreamFn = createStreamFnWithExtraParams(agent.streamFn, merged, provider);
 
   if (wrappedStreamFn) {
@@ -1238,4 +1296,23 @@ export function applyExtraParamsToAgent(
   // Force `store=true` for direct OpenAI Responses models and auto-enable
   // server-side compaction for compatible OpenAI Responses payloads.
   agent.streamFn = createOpenAIResponsesContextManagementWrapper(agent.streamFn, merged);
+
+  const rawParallelToolCalls = resolveAliasedParamValue(
+    [resolvedExtraParams, override],
+    "parallel_tool_calls",
+    "parallelToolCalls",
+  );
+  if (rawParallelToolCalls !== undefined) {
+    if (typeof rawParallelToolCalls === "boolean") {
+      agent.streamFn = createParallelToolCallsWrapper(agent.streamFn, rawParallelToolCalls);
+    } else if (rawParallelToolCalls === null) {
+      log.debug("parallel_tool_calls suppressed by null override, skipping injection");
+    } else {
+      const summary =
+        typeof rawParallelToolCalls === "string"
+          ? rawParallelToolCalls
+          : typeof rawParallelToolCalls;
+      log.warn(`ignoring invalid parallel_tool_calls param: ${summary}`);
+    }
+  }
 }