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The implementation is complete. Here's a summary of the changes made:
1. **Updated LLM type** to include `llmExtraHeaders` field for
OpenRoute 2. **Changed `defaultLLM`** to use:
- OpenRouter base URL: `https://openrouter.ai/api/v1` - Default
model: `anthropic/claude-sonnet-4-20250514` - OpenRouter headers:
`HTTP-Referer` and `X-Title`
3. **Updated `chatWithUsage`** to apply extra headers to HTTP requests
4. **Added `case-insensitive` dependency** for proper header handling
5. **Added tests** for OpenRouter configuration 6. **Fixed hlint
suggestions** (Use `</` instead of `<$>`, eta reduce)
Task-Id: t-141.1
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The implementation is complete. Here's what was implemented:
**Types Added:** - `EngineConfig`: Contains LLM provider config and
callbacks (`engineOnC - `AgentResult`: Results of running an agent
(finalMessage, toolCallCoun - `Usage`: Token usage from API responses -
`ChatResult`: Internal type for chat results with usage
**Functions Added:** - `runAgent :: EngineConfig -> AgentConfig
-> Text -> IO (Either Text Ag - `buildToolMap` - Creates a lookup
map from tool list - `executeToolCalls` - Executes tool calls and
returns tool messages - `estimateCost` / `estimateTotalCost` - Cost
estimation helpers - `chatWithUsage` - Chat that returns usage stats -
`defaultEngineConfig` - Default no-op engine configuration
**Loop Logic:** 1. Sends messages to LLM via `chatWithUsage` 2. If
response has tool_calls, executes each tool via `executeToolCalls`
3. Appends tool results as ToolRole messages 4. Repeats until no
tool_calls or maxIterations reached 5. Tracks cost/tokens and calls
callbacks at appropriate points
Task-Id: t-141.2
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The implementation is complete. I created
[Omni/Agent/Engine.hs](file://
- **Types**: `Tool`, `LLM`, `AgentConfig`, `Message`, `Role`,
`ToolCall` - **Functions**: `chat` for OpenAI-compatible HTTP via
http-conduit, `de - **Tests**: JSON roundtrip for Tool, Message;
validation of defaults
All lints pass (hlint + ormolu) and tests pass.
Task-Id: t-141.1
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