fix(jev): expose text inputs to Agent models

Author: waleedlatif1

apps/docs/content/docs/integrations/jev.mdx

@@ -28,8 +28,8 @@ Choose an option with Jev and return its probability distribution and confidence
 | --------- | ---- | -------- | ----------- |
 | `apiKey` | string | Yes | TypeSafe API key from https://console.typesafe.ai |
 | `model` | string | No | Model ID or alias: jev-1.13.0, jev-latest, or jev-preview. Defaults to jev-1.13.0. |
-| `state` | json | Yes | Content to evaluate: a text string, JSON object, or array. |
-| `instructions` | json | Yes | The question to evaluate, as text, a JSON object, or an array. |
+| `state` | string | Yes | Content to evaluate: a text string, JSON object, or array. |
+| `instructions` | string | Yes | The question to evaluate, as text, a JSON object, or an array. |
 | `criteria` | json | Yes | Map of 1–255 option names to descriptions \(text, object, array, or null\). |
 
 #### Output
@@ -54,8 +54,8 @@ Score content against an ordered rubric with Jev, including probabilities and co
 | --------- | ---- | -------- | ----------- |
 | `apiKey` | string | Yes | TypeSafe API key from https://console.typesafe.ai |
 | `model` | string | No | Model ID or alias: jev-1.13.0, jev-latest, or jev-preview. Defaults to jev-1.13.0. |
-| `state` | json | Yes | Content to evaluate: a text string, JSON object, or array. |
-| `instructions` | json | Yes | The question to evaluate, as text, a JSON object, or an array. |
+| `state` | string | Yes | Content to evaluate: a text string, JSON object, or array. |
+| `instructions` | string | Yes | The question to evaluate, as text, a JSON object, or an array. |
 | `criteria` | array | Yes | Ordered array of 2–10 rubric descriptions, from lowest to highest score. |
 
 #### Output
@@ -81,8 +81,8 @@ Evaluate a yes/no question with Jev and return the probability that the answer i
 | --------- | ---- | -------- | ----------- |
 | `apiKey` | string | Yes | TypeSafe API key from https://console.typesafe.ai |
 | `model` | string | No | Model ID or alias: jev-1.13.0, jev-latest, or jev-preview. Defaults to jev-1.13.0. |
-| `state` | json | Yes | Content to evaluate: a text string, JSON object, or array. |
-| `instructions` | json | Yes | The question to evaluate, as text, a JSON object, or an array. |
+| `state` | string | Yes | Content to evaluate: a text string, JSON object, or array. |
+| `instructions` | string | Yes | The question to evaluate, as text, a JSON object, or an array. |
 | `criteria` | json | No | Optional object with true and false descriptions defining what yes and no mean. |
 
 #### Output
@@ -105,7 +105,7 @@ Evaluate multiple Choice, Score, and Noul questions against shared state in one
 | --------- | ---- | -------- | ----------- |
 | `apiKey` | string | Yes | TypeSafe API key from https://console.typesafe.ai |
 | `model` | string | No | Model ID or alias: jev-1.13.0, jev-latest, or jev-preview. Defaults to jev-1.13.0. |
-| `state` | json | Yes | Content to evaluate: a text string, JSON object, or array. |
+| `state` | string | Yes | Content to evaluate: a text string, JSON object, or array. |
 | `questions` | json | Yes | Map of question IDs to \{type, instructions, criteria\}. Types: choice \(option map\), score \(2–10 ordered levels\), noul \(optional true/false descriptions\). Answers use the same IDs. |
 
 #### Output

apps/sim/tools/generated/tool-metadata.ts

@@ -124,4 +124,41 @@ describe('Jev Agent tools', () => {
       maxItems: 10,
     })
   })
+
+  it.each(CASES)(
+    'accepts model-supplied text for unfilled $operation inputs',
+    async ({ operation, args, questions }) => {
+      const tool = await agentTool(operation, { apiKey: 'test-key' })
+      expect(tool.parameters.properties.state.type).toBe('string')
+      if (operation !== 'jev_evaluate') {
+        expect(tool.parameters.properties.instructions.type).toBe('string')
+      }
+      const { toolParams } = prepareToolExecution(
+        tool,
+        { ...args, state: '42', ...(operation !== 'jev_evaluate' && { instructions: 'Question' }) },
+        {},
+        'test-call'
+      )
+      const request = prepareToolRequest(TOOLS[operation], toolParams)
+      expect(JSON.parse(request.body!)).toEqual({
+        state: '42',
+        model: 'jev-1.13.0',
+        questions,
+      })
+    }
+  )
+
+  it('preserves resolved structured state and instructions through the Agent adapter', async () => {
+    const state = { ticket: 'Payment failed', attempts: 3 }
+    const instructions = ['Evaluate urgency', { context: 'A repeated failure needs attention' }]
+    const criteria = ['Low', 'High']
+    const tool = await agentTool('jev_score', { apiKey: 'test-key', state, instructions, criteria })
+    const { toolParams } = prepareToolExecution(tool, {}, {}, 'test-call')
+    const request = prepareToolRequest(jevScoreTool, toolParams)
+    expect(JSON.parse(request.body!)).toEqual({
+      state,
+      model: 'jev-1.13.0',
+      questions: { result: { type: 'score', instructions, criteria } },
+    })
+  })
 })

apps/sim/tools/jev/jev-agent.test.ts

@@ -82,15 +82,15 @@ export const JEV_COMMON_PARAMS = {
       'Model ID or alias: jev-1.13.0, jev-latest, or jev-preview. Defaults to jev-1.13.0.',
   },
   state: {
-    type: 'json',
+    type: 'string',
     required: true,
     visibility: 'user-or-llm',
     description: 'Content to evaluate: a text string, JSON object, or array.',
   },
 } as const satisfies ToolConfig['params']
 
 export const JEV_INSTRUCTIONS_PARAM = {
-  type: 'json',
+  type: 'string',
   required: true,
   visibility: 'user-or-llm',
   description: 'The question to evaluate, as text, a JSON object, or an array.',