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bugfixes batch

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jaberjaber23
2026-03-03 16:54:30 +03:00
parent 8942d8c2b6
commit a4a83b1699
37 changed files with 258 additions and 175 deletions
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Cargo.lock
Generated
+14 -14
View File
@@ -3866,7 +3866,7 @@ dependencies = [
[[package]]
name = "openfang-api"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"axum",
@@ -3902,7 +3902,7 @@ dependencies = [
[[package]]
name = "openfang-channels"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"axum",
@@ -3933,7 +3933,7 @@ dependencies = [
[[package]]
name = "openfang-cli"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"clap",
"clap_complete",
@@ -3960,7 +3960,7 @@ dependencies = [
[[package]]
name = "openfang-desktop"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"axum",
"open",
@@ -3986,7 +3986,7 @@ dependencies = [
[[package]]
name = "openfang-extensions"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"aes-gcm",
"argon2",
@@ -4014,7 +4014,7 @@ dependencies = [
[[package]]
name = "openfang-hands"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"chrono",
"dashmap",
@@ -4031,7 +4031,7 @@ dependencies = [
[[package]]
name = "openfang-kernel"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"chrono",
@@ -4067,7 +4067,7 @@ dependencies = [
[[package]]
name = "openfang-memory"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"chrono",
@@ -4086,7 +4086,7 @@ dependencies = [
[[package]]
name = "openfang-migrate"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"chrono",
"dirs 6.0.0",
@@ -4105,7 +4105,7 @@ dependencies = [
[[package]]
name = "openfang-runtime"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"anyhow",
"async-trait",
@@ -4137,7 +4137,7 @@ dependencies = [
[[package]]
name = "openfang-skills"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"chrono",
"hex",
@@ -4160,7 +4160,7 @@ dependencies = [
[[package]]
name = "openfang-types"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"chrono",
@@ -4179,7 +4179,7 @@ dependencies = [
[[package]]
name = "openfang-wire"
version = "0.3.3"
version = "0.3.4"
dependencies = [
"async-trait",
"chrono",
@@ -8791,7 +8791,7 @@ checksum = "b9cc00251562a284751c9973bace760d86c0276c471b4be569fe6b068ee97a56"
[[package]]
name = "xtask"
version = "0.3.3"
version = "0.3.4"
[[package]]
name = "yoke"
Cargo.toml
+1 -1
View File
@@ -18,7 +18,7 @@ members = [
]
[workspace.package]
version = "0.3.4"
version = "0.3.5"
edition = "2021"
license = "Apache-2.0 OR MIT"
repository = "https://github.com/RightNow-AI/openfang"
agents/analyst/agent.toml
+4 -4
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.4
@@ -34,8 +34,8 @@ OUTPUT FORMAT:
- Caveats and limitations"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/architect/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["architecture", "design", "planning"]
[model]
provider = "deepseek"
model = "deepseek-chat"
provider = "default"
model = "default"
api_key_env = "DEEPSEEK_API_KEY"
max_tokens = 8192
temperature = 0.3
@@ -31,8 +31,8 @@ Output format: Use clear headings, diagrams (ASCII), and structured reasoning.
When asked to review, be honest about weaknesses."""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/assistant/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["general", "assistant", "default", "multipurpose", "conversation", "productivity"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.5
system_prompt = """You are Assistant, a specialist agent in the OpenFang Agent OS. You are the default general-purpose agent — a versatile, knowledgeable, and helpful companion designed to handle a wide range of everyday tasks, answer questions, and assist with productivity workflows.
@@ -61,7 +61,7 @@ TOOLS AVAILABLE:
You are reliable, adaptable, and genuinely helpful. You are the user's trusted first point of contact in the OpenFang Agent OS — capable of handling most tasks directly and smart enough to delegate when a specialist would do it better."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/code-reviewer/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["review", "code-quality", "best-practices"]
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.3
@@ -34,8 +34,8 @@ Rules:
- Focus on things that matter for production"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/coder/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["coding", "implementation", "rust", "python"]
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 8192
temperature = 0.3
@@ -31,8 +31,8 @@ RESEARCH:
- Check official documentation before guessing at API usage."""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/customer-support/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["support", "customer-service", "tickets", "helpdesk", "communication", "resolution"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.3
system_prompt = """You are Customer Support, a specialist agent in the OpenFang Agent OS. You are an expert customer service representative who handles support tickets, resolves issues, and communicates with customers professionally and empathetically.
@@ -55,7 +55,7 @@ TOOLS AVAILABLE:
You are patient, empathetic, and solutions-focused. You turn frustrated customers into satisfied advocates."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/data-scientist/agent.toml
+4 -4
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.3
@@ -36,8 +36,8 @@ Output format:
- Caveats and limitations"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/debugger/agent.toml
+4 -4
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.2
@@ -37,8 +37,8 @@ OUTPUT FORMAT:
- Prevention: Test or pattern to prevent recurrence"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/devops-lead/agent.toml
+3 -3
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.2
system_prompt = """You are DevOps Lead, a platform engineering expert running inside the OpenFang Agent OS.
@@ -35,7 +35,7 @@ When designing pipelines:
5. Automated rollback on failure"""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/doc-writer/agent.toml
+3 -3
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.4
system_prompt = """You are Doc Writer, a technical documentation specialist running inside the OpenFang Agent OS.
@@ -33,7 +33,7 @@ Style guide:
- Consistent formatting and structure"""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/email-assistant/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["email", "communication", "triage", "drafting", "scheduling", "productivity"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.4
system_prompt = """You are Email Assistant, a specialist agent in the OpenFang Agent OS. Your purpose is to manage, triage, draft, and schedule emails with expert precision and professionalism.
@@ -47,7 +47,7 @@ TOOLS AVAILABLE:
You are thorough, discreet, and efficient. You treat every email as an opportunity to communicate clearly and build professional relationships."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/health-tracker/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["health", "wellness", "fitness", "medication", "habits", "tracking"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.3
system_prompt = """You are Health Tracker, a specialist agent in the OpenFang Agent OS. You are an expert wellness assistant who helps users track health metrics, manage medication schedules, set fitness goals, and build healthy habits. You are NOT a medical professional and you always make this clear.
agents/hello-world/agent.toml
+2 -2
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.6
system_prompt = """You are Hello World, a friendly and approachable agent in the OpenFang Agent OS.
agents/home-automation/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["smart-home", "iot", "automation", "devices", "monitoring", "home"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.2
system_prompt = """You are Home Automation, a specialist agent in the OpenFang Agent OS. You are an expert smart home engineer and IoT integration specialist who helps users manage connected devices, create automation rules, monitor home systems, and optimize their smart home setup.
agents/legal-assistant/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["legal", "contracts", "compliance", "research", "review", "documents"]
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 8192
temperature = 0.2
@@ -58,8 +58,8 @@ DISCLAIMER: You are an AI assistant providing legal information for educational
You are meticulous, cautious, and precise. You help organizations understand and manage their legal landscape responsibly."""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/meeting-assistant/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["meetings", "notes", "action-items", "agenda", "follow-up", "productivity"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.3
system_prompt = """You are Meeting Assistant, a specialist agent in the OpenFang Agent OS. You are an expert at preparing agendas, capturing meeting notes, extracting action items, and managing follow-up workflows to ensure nothing falls through the cracks.
@@ -50,7 +50,7 @@ TOOLS AVAILABLE:
You are organized, detail-oriented, and relentlessly focused on accountability. You turn chaotic meetings into clear outcomes."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/ops/agent.toml
+2 -2
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.1-8b-instant"
provider = "default"
model = "default"
max_tokens = 2048
temperature = 0.2
system_prompt = """You are Ops, a DevOps and systems operations agent running inside the OpenFang Agent OS.
agents/orchestrator/agent.toml
+4 -4
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "deepseek"
model = "deepseek-chat"
provider = "default"
model = "default"
api_key_env = "DEEPSEEK_API_KEY"
max_tokens = 8192
temperature = 0.3
@@ -45,8 +45,8 @@ Always explain your delegation strategy before executing it.
Be thorough but efficient — don't delegate trivially simple tasks."""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[schedule]
agents/personal-finance/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["finance", "budget", "expenses", "savings", "planning", "money"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.2
system_prompt = """You are Personal Finance, a specialist agent in the OpenFang Agent OS. You are an expert personal financial analyst and advisor who helps users track spending, manage budgets, set savings goals, and make informed financial decisions.
agents/planner/agent.toml
+3 -3
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.3
system_prompt = """You are Planner, a project planning specialist running inside the OpenFang Agent OS.
@@ -37,7 +37,7 @@ Output format:
### Open Questions"""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/recruiter/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["recruiting", "hiring", "resume", "outreach", "talent", "hr"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.4
system_prompt = """You are Recruiter, a specialist agent in the OpenFang Agent OS. You are an expert talent acquisition specialist who helps with resume screening, candidate outreach, job description optimization, interview preparation, and hiring pipeline management.
@@ -55,7 +55,7 @@ TOOLS AVAILABLE:
You are thorough, fair, and people-oriented. You help organizations find the right talent through ethical, efficient, and human-centered recruiting practices."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/researcher/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["research", "analysis", "web"]
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.5
@@ -36,8 +36,8 @@ OUTPUT:
Always cite your sources. Never present uncertain information as fact."""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/sales-assistant/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["sales", "crm", "outreach", "pipeline", "prospecting", "deals"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.5
system_prompt = """You are Sales Assistant, a specialist agent in the OpenFang Agent OS. You are an expert sales operations advisor who helps with CRM management, outreach drafting, pipeline tracking, and deal strategy.
@@ -54,7 +54,7 @@ TOOLS AVAILABLE:
You are strategic, persuasive, and detail-oriented. You help sales teams work smarter and close more deals."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/security-auditor/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["security", "audit", "vulnerability"]
[model]
provider = "deepseek"
model = "deepseek-chat"
provider = "default"
model = "default"
api_key_env = "DEEPSEEK_API_KEY"
max_tokens = 4096
temperature = 0.2
@@ -37,8 +37,8 @@ Severity levels: CRITICAL / HIGH / MEDIUM / LOW / INFO
Report format: Finding → Impact → Evidence → Remediation"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[schedule]
agents/social-media/agent.toml
+3 -3
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["social-media", "content", "marketing", "engagement", "scheduling", "analytics"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.7
system_prompt = """You are Social Media, a specialist agent in the OpenFang Agent OS. You are an expert social media strategist, content creator, and community engagement advisor.
@@ -50,7 +50,7 @@ TOOLS AVAILABLE:
You are creative, culturally aware, and strategically minded. You balance creativity with data-driven decision-making."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
agents/test-engineer/agent.toml
+4 -4
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["testing", "qa", "validation"]
[model]
provider = "gemini"
model = "gemini-2.5-flash"
provider = "default"
model = "default"
api_key_env = "GEMINI_API_KEY"
max_tokens = 4096
temperature = 0.3
@@ -39,8 +39,8 @@ When reviewing test coverage:
- Suggest mutation testing targets"""
[[fallback_models]]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[resources]
agents/translator/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["translation", "languages", "localization", "multilingual", "communication", "i18n"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.3
system_prompt = """You are Translator, a specialist agent in the OpenFang Agent OS. You are an expert linguist and translator who provides accurate, culturally aware translations across multiple languages and handles localization tasks with professional precision.
agents/travel-planner/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["travel", "planning", "itinerary", "booking", "logistics", "vacation"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.5
system_prompt = """You are Travel Planner, a specialist agent in the OpenFang Agent OS. You are an expert travel advisor who helps plan trips, create detailed itineraries, research destinations, estimate budgets, and manage travel logistics.
agents/tutor/agent.toml
+2 -2
View File
@@ -6,8 +6,8 @@ module = "builtin:chat"
tags = ["education", "teaching", "tutoring", "learning", "explanation", "knowledge"]
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 8192
temperature = 0.5
system_prompt = """You are Tutor, a specialist agent in the OpenFang Agent OS. You are an expert educator and tutor who explains complex concepts clearly, adapts to different learning styles, and guides students through progressive understanding.
agents/writer/agent.toml
+3 -3
View File
@@ -5,8 +5,8 @@ author = "openfang"
module = "builtin:chat"
[model]
provider = "groq"
model = "llama-3.3-70b-versatile"
provider = "default"
model = "default"
max_tokens = 4096
temperature = 0.7
system_prompt = """You are Writer, a professional content creation agent running inside the OpenFang Agent OS.
@@ -30,7 +30,7 @@ OUTPUT:
- Adapt formatting to the target platform when specified."""
[[fallback_models]]
provider = "gemini"
provider = "default"
model = "gemini-2.0-flash"
api_key_env = "GEMINI_API_KEY"
crates/openfang-api/src/routes.rs
+33 -12
View File
@@ -3623,17 +3623,36 @@ pub async fn activate_hand(
let config = body.map(|b| b.0.config).unwrap_or_default();
match state.kernel.activate_hand(&hand_id, config) {
Ok(instance) => (
StatusCode::OK,
Json(serde_json::json!({
"instance_id": instance.instance_id,
"hand_id": instance.hand_id,
"status": format!("{}", instance.status),
"agent_id": instance.agent_id.map(|a| a.to_string()),
"agent_name": instance.agent_name,
"activated_at": instance.activated_at.to_rfc3339(),
})),
),
Ok(instance) => {
// If the hand agent has a non-reactive schedule (autonomous hands),
// start its background loop so it begins running immediately.
if let Some(agent_id) = instance.agent_id {
let entry = state.kernel.registry.list().into_iter().find(|e| e.id == agent_id);
if let Some(entry) = entry {
if !matches!(
entry.manifest.schedule,
openfang_types::agent::ScheduleMode::Reactive
) {
state.kernel.start_background_for_agent(
agent_id,
&entry.name,
&entry.manifest.schedule,
);
}
}
}
(
StatusCode::OK,
Json(serde_json::json!({
"instance_id": instance.instance_id,
"hand_id": instance.hand_id,
"status": format!("{}", instance.status),
"agent_id": instance.agent_id.map(|a| a.to_string()),
"agent_name": instance.agent_name,
"activated_at": instance.activated_at.to_rfc3339(),
})),
)
}
Err(e) => (
StatusCode::BAD_REQUEST,
Json(serde_json::json!({"error": format!("{e}")})),
@@ -8759,7 +8778,9 @@ fn json_to_toml_value(value: &serde_json::Value) -> toml::Value {
match value {
serde_json::Value::String(s) => toml::Value::String(s.clone()),
serde_json::Value::Number(n) => {
if let Some(i) = n.as_i64() {
if let Some(i) = n.as_u64() {
toml::Value::Integer(i as i64)
} else if let Some(i) = n.as_i64() {
toml::Value::Integer(i)
} else if let Some(f) = n.as_f64() {
toml::Value::Float(f)
crates/openfang-channels/src/formatter.rs
+6 -1
View File
@@ -21,7 +21,12 @@ pub fn format_for_channel(text: &str, format: OutputFormat) -> String {
///
/// Supported tags: `<b>`, `<i>`, `<code>`, `<pre>`, `<a href="">`.
fn markdown_to_telegram_html(text: &str) -> String {
let mut result = text.to_string();
// Escape HTML special characters first so agent names and other text
// don't get interpreted as HTML tags by Telegram's parser.
let mut result = text
.replace('&', "&amp;")
.replace('<', "&lt;")
.replace('>', "&gt;");
// Bold: **text** → <b>text</b>
while let Some(start) = result.find("**") {
crates/openfang-cli/src/main.rs
+15 -3
View File
@@ -4380,8 +4380,9 @@ fn cmd_config_set(key: &str, value: &str) {
let new_value = if let Some(existing) = tbl.get(last_key) {
match existing {
toml::Value::Integer(_) => value
.parse::<i64>()
.map(toml::Value::Integer)
.parse::<u64>()
.map(|v| toml::Value::Integer(v as i64))
.or_else(|_| value.parse::<i64>().map(toml::Value::Integer))
.unwrap_or_else(|_| toml::Value::String(value.to_string())),
toml::Value::Float(_) => value
.parse::<f64>()
@@ -4394,7 +4395,18 @@ fn cmd_config_set(key: &str, value: &str) {
_ => toml::Value::String(value.to_string()),
}
} else {
toml::Value::String(value.to_string())
// No existing value — infer type from the string content
if let Ok(b) = value.parse::<bool>() {
toml::Value::Boolean(b)
} else if let Ok(i) = value.parse::<u64>() {
toml::Value::Integer(i as i64)
} else if let Ok(i) = value.parse::<i64>() {
toml::Value::Integer(i)
} else if let Ok(f) = value.parse::<f64>() {
toml::Value::Float(f)
} else {
toml::Value::String(value.to_string())
}
};
tbl.insert(last_key.to_string(), new_value);
crates/openfang-kernel/src/kernel.rs
+95 -50
View File
@@ -20,7 +20,9 @@ use openfang_runtime::agent_loop::{
use openfang_runtime::audit::AuditLog;
use openfang_runtime::drivers;
use openfang_runtime::kernel_handle::{self, KernelHandle};
use openfang_runtime::llm_driver::{CompletionRequest, DriverConfig, LlmDriver, StreamEvent};
use openfang_runtime::llm_driver::{
CompletionRequest, CompletionResponse, DriverConfig, LlmDriver, LlmError, StreamEvent,
};
use openfang_runtime::python_runtime::{self, PythonConfig};
use openfang_runtime::routing::ModelRouter;
use openfang_runtime::sandbox::{SandboxConfig, WasmSandbox};
@@ -39,6 +41,21 @@ use std::sync::{Arc, OnceLock, Weak};
use tracing::{debug, info, warn};
/// The main OpenFang kernel — coordinates all subsystems.
/// Stub LLM driver used when no providers are configured.
/// Returns a helpful error so the dashboard still boots and users can configure providers.
struct StubDriver;
#[async_trait]
impl LlmDriver for StubDriver {
async fn complete(&self, _request: CompletionRequest) -> Result<CompletionResponse, LlmError> {
Err(LlmError::MissingApiKey(
"No LLM provider configured. Set an API key (e.g. GROQ_API_KEY) and restart, \
or configure a provider via the dashboard."
.to_string(),
))
}
}
pub struct OpenFangKernel {
/// Kernel configuration.
pub config: KernelConfig,
@@ -538,52 +555,67 @@ impl OpenFangKernel {
.clone()
.or_else(|| config.provider_urls.get(&config.default_model.provider).cloned()),
};
let primary_driver = drivers::create_driver(&driver_config)
.map_err(|e| KernelError::BootFailed(format!("LLM driver init failed: {e}")))?;
// Primary driver failure is non-fatal: the dashboard should remain accessible
// even if the LLM provider is misconfigured. Users can fix config via dashboard.
let primary_result = drivers::create_driver(&driver_config);
let mut driver_chain: Vec<Arc<dyn LlmDriver>> = Vec::new();
// If fallback providers are configured, wrap the primary driver in a FallbackDriver
let driver: Arc<dyn LlmDriver> = if !config.fallback_providers.is_empty() {
let mut chain: Vec<Arc<dyn LlmDriver>> = vec![primary_driver.clone()];
for fb in &config.fallback_providers {
let fb_config = DriverConfig {
provider: fb.provider.clone(),
api_key: if fb.api_key_env.is_empty() {
None
} else {
std::env::var(&fb.api_key_env).ok()
},
base_url: fb
.base_url
.clone()
.or_else(|| config.provider_urls.get(&fb.provider).cloned()),
};
match drivers::create_driver(&fb_config) {
Ok(d) => {
info!(
provider = %fb.provider,
model = %fb.model,
"Fallback provider configured"
);
chain.push(d);
}
Err(e) => {
warn!(
provider = %fb.provider,
error = %e,
"Fallback provider init failed — skipped"
);
}
match &primary_result {
Ok(d) => driver_chain.push(d.clone()),
Err(e) => {
warn!(
provider = %config.default_model.provider,
error = %e,
"Primary LLM driver init failed — dashboard will still be accessible"
);
}
}
// Add fallback providers to the chain
for fb in &config.fallback_providers {
let fb_config = DriverConfig {
provider: fb.provider.clone(),
api_key: if fb.api_key_env.is_empty() {
None
} else {
std::env::var(&fb.api_key_env).ok()
},
base_url: fb
.base_url
.clone()
.or_else(|| config.provider_urls.get(&fb.provider).cloned()),
};
match drivers::create_driver(&fb_config) {
Ok(d) => {
info!(
provider = %fb.provider,
model = %fb.model,
"Fallback provider configured"
);
driver_chain.push(d);
}
Err(e) => {
warn!(
provider = %fb.provider,
error = %e,
"Fallback provider init failed — skipped"
);
}
}
if chain.len() > 1 {
Arc::new(openfang_runtime::drivers::fallback::FallbackDriver::new(
chain,
))
} else {
primary_driver
}
}
// Use the chain, or create a stub driver if everything failed
let driver: Arc<dyn LlmDriver> = if driver_chain.len() > 1 {
Arc::new(openfang_runtime::drivers::fallback::FallbackDriver::new(
driver_chain,
))
} else if let Some(single) = driver_chain.into_iter().next() {
single
} else {
primary_driver
// All drivers failed — use a stub that returns a helpful error.
// The kernel boots, dashboard is accessible, users can fix their config.
warn!("No LLM drivers available — agents will return errors until a provider is configured");
Arc::new(StubDriver) as Arc<dyn LlmDriver>
};
// Initialize metering engine (shares the same SQLite connection as the memory substrate)
@@ -989,8 +1021,10 @@ impl OpenFangKernel {
&& restored_entry.manifest.model.base_url.is_none()
{
let dm = &kernel.config.default_model;
let is_default_provider = restored_entry.manifest.model.provider.is_empty();
let is_default_model = restored_entry.manifest.model.model.is_empty();
let is_default_provider = restored_entry.manifest.model.provider.is_empty()
|| restored_entry.manifest.model.provider == "default";
let is_default_model = restored_entry.manifest.model.model.is_empty()
|| restored_entry.manifest.model.model == "default";
if is_default_provider && is_default_model {
if !dm.provider.is_empty() {
restored_entry.manifest.model.provider = dm.provider.clone();
@@ -1068,8 +1102,8 @@ impl OpenFangKernel {
info!(agent = %name, id = %agent_id, exec_mode = ?manifest.exec_policy.as_ref().map(|p| &p.mode), "Agent exec_policy resolved");
// Overlay kernel default_model onto agent if agent didn't explicitly choose.
// Only override when the agent has empty (unset) provider/model fields.
// This preserves explicit model choices like provider="groq", model="llama-3.3-70b".
// Treat empty or "default" as "use the kernel's configured default_model".
// This allows bundled agents to defer to the user's configured provider/model.
if manifest.model.api_key_env.is_none() && manifest.model.base_url.is_none() {
// Check hot-reloaded override first, fall back to boot-time config
let override_guard = self
@@ -1079,8 +1113,10 @@ impl OpenFangKernel {
let dm = override_guard
.as_ref()
.unwrap_or(&self.config.default_model);
let is_default_provider = manifest.model.provider.is_empty();
let is_default_model = manifest.model.model.is_empty();
let is_default_provider =
manifest.model.provider.is_empty() || manifest.model.provider == "default";
let is_default_model =
manifest.model.model.is_empty() || manifest.model.model == "default";
if is_default_provider && is_default_model {
if !dm.provider.is_empty() {
manifest.model.provider = dm.provider.clone();
@@ -2820,6 +2856,15 @@ impl OpenFangKernel {
max_iterations: max_iter,
..Default::default()
}),
// Autonomous hands must run in Continuous mode so the background loop picks them up.
// Reactive (default) only fires on incoming messages, so autonomous hands would be inert.
schedule: if def.agent.max_iterations.is_some() {
ScheduleMode::Continuous {
check_interval_secs: 60,
}
} else {
ScheduleMode::default()
},
skills: def.skills.clone(),
mcp_servers: def.mcp_servers.clone(),
// Hands are curated packages — if they declare shell_exec, grant full exec access
@@ -3636,7 +3681,7 @@ impl OpenFangKernel {
}
/// Start the background loop / register triggers for a single agent.
fn start_background_for_agent(
pub fn start_background_for_agent(
self: &Arc<Self>,
agent_id: AgentId,
name: &str,
crates/openfang-types/src/model_catalog.rs
+1 -1
View File
@@ -36,7 +36,7 @@ pub const GITHUB_COPILOT_BASE_URL: &str = "https://api.githubcopilot.com";
pub const QWEN_BASE_URL: &str = "https://dashscope.aliyuncs.com/compatible-mode/v1";
pub const MINIMAX_BASE_URL: &str = "https://api.minimax.io/v1";
pub const ZHIPU_BASE_URL: &str = "https://open.bigmodel.cn/api/paas/v4";
pub const ZHIPU_CODING_BASE_URL: &str = "https://open.bigmodel.cn/api/paas/v4";
pub const ZHIPU_CODING_BASE_URL: &str = "https://open.bigmodel.cn/api/coding/paas/v4";
pub const MOONSHOT_BASE_URL: &str = "https://api.moonshot.cn/v1";
pub const QIANFAN_BASE_URL: &str = "https://qianfan.baidubce.com/v2";