M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

[**mimir v1.0.0**](../README.md) *** [mimir](../README.md) / orchestrator/llm-client # orchestrator/llm-client ## Classes ### CopilotAgentClient Defined in: src/orchestrator/llm-client.ts:64 Client for GitHub Copilot Chat API via copilot-api proxy WITH FULL AGENT MODE (tool calling enabled) using LangChain 1.0.1 + LangGraph #### Example ```typescript const client = new CopilotAgentClient({ preamblePath: 'agent.md', model: 'gpt-4.1', // Or use env var: process.env.MIMIR_DEFAULT_MODEL temperature: 0.0, }); await client.loadPreamble('agent.md'); const result = await client.execute('Debug the order processing system'); ``` #### Constructors ##### Constructor > **new CopilotAgentClient**(`config`): [`CopilotAgentClient`](#copilotagentclient) Defined in: src/orchestrator/llm-client.ts:88 ###### Parameters ###### config [`AgentConfig`](#agentconfig) ###### Returns [`CopilotAgentClient`](#copilotagentclient) #### Methods ##### getProvider() > **getProvider**(): [`LLMProvider`](types.md#llmprovider) Defined in: src/orchestrator/llm-client.ts:134 ###### Returns [`LLMProvider`](types.md#llmprovider) ##### getModel() > **getModel**(): `string` Defined in: src/orchestrator/llm-client.ts:147 ###### Returns `string` ##### getBaseURL() > **getBaseURL**(): `string` Defined in: src/orchestrator/llm-client.ts:158 ###### Returns `string` ##### getLLMConfig() > **getLLMConfig**(): `Record`\<`string`, `any`\> Defined in: src/orchestrator/llm-client.ts:174 ###### Returns `Record`\<`string`, `any`\> ##### getContextWindow() > **getContextWindow**(): `Promise`\<`number`\> Defined in: src/orchestrator/llm-client.ts:195 ###### Returns `Promise`\<`number`\> ##### loadPreamble() > **loadPreamble**(`pathOrContent`, `isContent`): `Promise`\<`void`\> Defined in: src/orchestrator/llm-client.ts:207 Load agent preamble from file or string ###### Parameters ###### pathOrContent `string` File path or content ###### isContent `boolean` = `false` true if pathOrContent is content ###### Returns `Promise`\<`void`\> ###### Example ```ts await client.loadPreamble('preambles/worker.md'); ``` ##### initializeConversationHistory() > **initializeConversationHistory**(): `Promise`\<`void`\> Defined in: src/orchestrator/llm-client.ts:279 Initialize conversation history with Neo4j ###### Returns `Promise`\<`void`\> ###### Example ```ts await client.initializeConversationHistory(); ``` ##### execute() > **execute**(`task`, `retryCount`, `circuitBreakerLimit?`, `sessionId?`, `workingDirectory?`): `Promise`\<\{ `output`: `string`; `conversationHistory`: `object`[]; `tokens`: \{ `input`: `number`; `output`: `number`; \}; `toolCalls`: `number`; `intermediateSteps`: `any`[]; `metadata?`: \{ `toolCallCount`: `number`; `messageCount`: `number`; `estimatedContextTokens`: `number`; `qcRecommended`: `boolean`; `circuitBreakerTriggered`: `boolean`; `circuitBreakerReason?`: `string`; `duration`: `number`; \}; \}\> Defined in: src/orchestrator/llm-client.ts:610 Execute task with LLM agent ###### Parameters ###### task `string` Task description ###### retryCount `number` = `0` Retry attempt number ###### circuitBreakerLimit? `number` Max iterations ###### sessionId? `string` ###### workingDirectory? `string` ###### Returns `Promise`\<\{ `output`: `string`; `conversationHistory`: `object`[]; `tokens`: \{ `input`: `number`; `output`: `number`; \}; `toolCalls`: `number`; `intermediateSteps`: `any`[]; `metadata?`: \{ `toolCallCount`: `number`; `messageCount`: `number`; `estimatedContextTokens`: `number`; `qcRecommended`: `boolean`; `circuitBreakerTriggered`: `boolean`; `circuitBreakerReason?`: `string`; `duration`: `number`; \}; \}\> ###### Example ```ts const result = await client.execute('Write hello world'); console.log(result.output); ``` ## Interfaces ### AgentConfig Defined in: src/orchestrator/llm-client.ts:28 #### Properties ##### preamblePath > **preamblePath**: `string` Defined in: src/orchestrator/llm-client.ts:29 ##### model? > `optional` **model**: `string` Defined in: src/orchestrator/llm-client.ts:30 ##### temperature? > `optional` **temperature**: `number` Defined in: src/orchestrator/llm-client.ts:31 ##### maxTokens? > `optional` **maxTokens**: `number` Defined in: src/orchestrator/llm-client.ts:32 ##### tools? > `optional` **tools**: `StructuredToolInterface`\<`ToolInputSchemaBase`, `any`, `any`\>[] Defined in: src/orchestrator/llm-client.ts:33 ##### provider? > `optional` **provider**: `string` Defined in: src/orchestrator/llm-client.ts:36 ##### agentType? > `optional` **agentType**: `"worker"` \| `"pm"` \| `"qc"` Defined in: src/orchestrator/llm-client.ts:37 ##### ollamaBaseUrl? > `optional` **ollamaBaseUrl**: `string` Defined in: src/orchestrator/llm-client.ts:40 ##### copilotBaseUrl? > `optional` **copilotBaseUrl**: `string` Defined in: src/orchestrator/llm-client.ts:41 ##### openAIApiKey? > `optional` **openAIApiKey**: `string` Defined in: src/orchestrator/llm-client.ts:42 ##### fallbackProvider? > `optional` **fallbackProvider**: `string` Defined in: src/orchestrator/llm-client.ts:43 ## References ### LLMProvider Re-exports [LLMProvider](types.md#llmprovider)