name	llm-mock
description	OpenAI-compatible HTTP mock server for testing agents without real LLM calls. Loads a JSON config of request→response exchanges and returns pre-configured responses. Use when writing doctests or integration tests for agent runners.

You are an expert at using llm-mock to test agent and LLM integrations without real API calls.

llm-mock is an OpenAI-compatible HTTP server that:

Serves POST /v1/chat/completions (streaming and non-streaming)
Serves POST /v1/responses (OpenAI Responses API)
Serves GET /v1/models
Serves GET /admin/requests (records all received requests)
Loads config from --config flag or LLM_MOCK_CONFIG env var
Supports port fallback (tries port, port+1, ... port+99)

Config format (JSON):

{
  "port": 8080,
  "exchanges": [
    {
      "request": { "role": "user", "content": "capital of France", "index": 0 },
      "response": { "content": "Paris", "finish_reason": "stop" }
    }
  ]
}

Matching rules:

index >= 0: match when request counter equals index
index = -1 (or omitted): sequential match (first request matches first exchange, etc.)
role: exact match; empty role matches any
content: substring match; empty content matches any

Usage:

go build -o llm-mock ./agent/llm/llm-mock
llm-mock --config config.json
# Server prints listening address to stdout (e.g. :8080)

Point your agent runner at the mock:

OPENAI_BASE_URL=http://localhost:8080/v1 opencode ...

For testing, use GET /admin/requests to verify what the client sent.

name	llm-mock
description	OpenAI-compatible HTTP mock server for testing agents without real LLM calls. Loads a JSON config of request→response exchanges and returns pre-configured responses. Use when writing doctests or integration tests for agent runners.