mirror of
https://github.com/getcompanion-ai/co-mono.git
synced 2026-04-16 06:02:42 +00:00
mom: fix duplicate bot response logging, remove debug logs
- Remove bot response logging from agent.ts (already done in ctx.respond) - Remove all debug console.log statements - Clean up unused store parameter
This commit is contained in:
Mario Zechner
parent
cc71c0a49e
commit
e513127b3b
3 changed files with 98 additions and 107 deletions
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@ -3481,13 +3481,13 @@ export const MODELS = {
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.09999999999999999,
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output: 0.7999999999999999,
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input: 0.09,
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output: 1.1,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 262144,
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maxTokens: 262144,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"meituan/longcat-flash-chat:free": {
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id: "meituan/longcat-flash-chat:free",
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@ -4226,7 +4226,7 @@ export const MODELS = {
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: true,
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.071,
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@ -5317,13 +5317,13 @@ export const MODELS = {
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.108,
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input: 0.09999999999999999,
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output: 0.32,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 120000,
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maxTokens: 16384,
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} satisfies Model<"openai-completions">,
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"amazon/nova-lite-v1": {
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id: "amazon/nova-lite-v1",
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@ -5512,23 +5512,6 @@ export const MODELS = {
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contextWindow: 200000,
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maxTokens: 8192,
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} satisfies Model<"openai-completions">,
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"mistralai/ministral-8b": {
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id: "mistralai/ministral-8b",
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name: "Mistral: Ministral 8B",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.09999999999999999,
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output: 0.09999999999999999,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"mistralai/ministral-3b": {
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id: "mistralai/ministral-3b",
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name: "Mistral: Ministral 3B",
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@ -5546,6 +5529,23 @@ export const MODELS = {
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contextWindow: 131072,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"mistralai/ministral-8b": {
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id: "mistralai/ministral-8b",
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name: "Mistral: Ministral 8B",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.09999999999999999,
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output: 0.09999999999999999,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"nvidia/llama-3.1-nemotron-70b-instruct": {
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id: "nvidia/llama-3.1-nemotron-70b-instruct",
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name: "NVIDIA: Llama 3.1 Nemotron 70B Instruct",
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@ -5716,22 +5716,22 @@ export const MODELS = {
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contextWindow: 128000,
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maxTokens: 16384,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3.1-8b-instruct": {
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id: "meta-llama/llama-3.1-8b-instruct",
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name: "Meta: Llama 3.1 8B Instruct",
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"meta-llama/llama-3.1-70b-instruct": {
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id: "meta-llama/llama-3.1-70b-instruct",
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name: "Meta: Llama 3.1 70B Instruct",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.02,
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output: 0.03,
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input: 0.39999999999999997,
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output: 0.39999999999999997,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 16384,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3.1-405b-instruct": {
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id: "meta-llama/llama-3.1-405b-instruct",
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@ -5750,22 +5750,22 @@ export const MODELS = {
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contextWindow: 130815,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3.1-70b-instruct": {
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id: "meta-llama/llama-3.1-70b-instruct",
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name: "Meta: Llama 3.1 70B Instruct",
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"meta-llama/llama-3.1-8b-instruct": {
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id: "meta-llama/llama-3.1-8b-instruct",
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name: "Meta: Llama 3.1 8B Instruct",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.39999999999999997,
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output: 0.39999999999999997,
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input: 0.02,
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output: 0.03,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 131072,
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maxTokens: 4096,
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maxTokens: 16384,
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} satisfies Model<"openai-completions">,
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"mistralai/mistral-nemo": {
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id: "mistralai/mistral-nemo",
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@ -5903,23 +5903,6 @@ export const MODELS = {
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contextWindow: 128000,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-4o-2024-05-13": {
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id: "openai/gpt-4o-2024-05-13",
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name: "OpenAI: GPT-4o (2024-05-13)",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text", "image"],
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cost: {
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input: 5,
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output: 15,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 128000,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-4o": {
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id: "openai/gpt-4o",
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name: "OpenAI: GPT-4o",
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@ -5954,22 +5937,22 @@ export const MODELS = {
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contextWindow: 128000,
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maxTokens: 64000,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3-70b-instruct": {
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id: "meta-llama/llama-3-70b-instruct",
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name: "Meta: Llama 3 70B Instruct",
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"openai/gpt-4o-2024-05-13": {
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id: "openai/gpt-4o-2024-05-13",
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name: "OpenAI: GPT-4o (2024-05-13)",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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input: ["text", "image"],
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cost: {
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input: 0.3,
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output: 0.39999999999999997,
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input: 5,
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output: 15,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 8192,
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maxTokens: 16384,
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contextWindow: 128000,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3-8b-instruct": {
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id: "meta-llama/llama-3-8b-instruct",
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@ -5988,6 +5971,23 @@ export const MODELS = {
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contextWindow: 8192,
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maxTokens: 16384,
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} satisfies Model<"openai-completions">,
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"meta-llama/llama-3-70b-instruct": {
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id: "meta-llama/llama-3-70b-instruct",
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name: "Meta: Llama 3 70B Instruct",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.3,
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output: 0.39999999999999997,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 8192,
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maxTokens: 16384,
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} satisfies Model<"openai-completions">,
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"mistralai/mixtral-8x22b-instruct": {
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id: "mistralai/mixtral-8x22b-instruct",
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name: "Mistral: Mixtral 8x22B Instruct",
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@ -6073,23 +6073,6 @@ export const MODELS = {
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contextWindow: 128000,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-3.5-turbo-0613": {
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id: "openai/gpt-3.5-turbo-0613",
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name: "OpenAI: GPT-3.5 Turbo (older v0613)",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 1,
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output: 2,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 4095,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-4-turbo-preview": {
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id: "openai/gpt-4-turbo-preview",
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name: "OpenAI: GPT-4 Turbo Preview",
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@ -6107,6 +6090,23 @@ export const MODELS = {
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contextWindow: 128000,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-3.5-turbo-0613": {
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id: "openai/gpt-3.5-turbo-0613",
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name: "OpenAI: GPT-3.5 Turbo (older v0613)",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 1,
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output: 2,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 4095,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"mistralai/mistral-tiny": {
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id: "mistralai/mistral-tiny",
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name: "Mistral Tiny",
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@ -6175,6 +6175,23 @@ export const MODELS = {
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contextWindow: 16385,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-3.5-turbo": {
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id: "openai/gpt-3.5-turbo",
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name: "OpenAI: GPT-3.5 Turbo",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.5,
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output: 1.5,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 16385,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-4-0314": {
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id: "openai/gpt-4-0314",
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name: "OpenAI: GPT-4 (older v0314)",
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@ -6209,23 +6226,6 @@ export const MODELS = {
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contextWindow: 8191,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openai/gpt-3.5-turbo": {
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id: "openai/gpt-3.5-turbo",
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name: "OpenAI: GPT-3.5 Turbo",
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api: "openai-completions",
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provider: "openrouter",
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baseUrl: "https://openrouter.ai/api/v1",
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reasoning: false,
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input: ["text"],
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cost: {
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input: 0.5,
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output: 1.5,
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cacheRead: 0,
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cacheWrite: 0,
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},
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contextWindow: 16385,
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maxTokens: 4096,
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} satisfies Model<"openai-completions">,
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"openrouter/auto": {
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id: "openrouter/auto",
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name: "OpenRouter: Auto Router",
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@ -262,7 +262,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
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const executor = createExecutor(sandboxConfig);
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return {
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async run(ctx: SlackContext, channelDir: string, store: ChannelStore): Promise<{ stopReason: string }> {
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async run(ctx: SlackContext, channelDir: string, _store: ChannelStore): Promise<{ stopReason: string }> {
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// Ensure channel directory exists
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await mkdir(channelDir, { recursive: true });
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@ -424,7 +424,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
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// Subscribe to session events
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const unsubscribe = session.subscribe(async (event) => {
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// Handle core agent events
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// Handle agent events
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if (event.type === "tool_execution_start") {
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const agentEvent = event as AgentEvent & { type: "tool_execution_start" };
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const args = agentEvent.args as { label?: string };
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@ -571,16 +571,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
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.join("\n") || "";
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if (finalText.trim()) {
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// Log final response to log.jsonl (human-readable history)
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await store.logMessage(ctx.message.channel, {
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date: new Date().toISOString(),
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ts: toSlackTs(),
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user: "bot",
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text: finalText,
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attachments: [],
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isBot: true,
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});
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// Note: Bot response is logged via ctx.respond() in the event handler
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try {
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const mainText =
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finalText.length > SLACK_MAX_LENGTH
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@ -161,7 +161,7 @@ export class MomSessionManager {
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appendFileSync(this.contextFile, JSON.stringify(entry) + "\n");
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}
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console.log(`[mom] Synced ${newMessages.length} messages from log.jsonl to context.jsonl`);
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// Sync complete - newMessages.length messages added
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}
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private extractSessionId(): string | null {
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