Symb= i - Hosted agent setup guide

Thought for = 27s Got it. I=E2=80=99ll give you a complete, one-stop= =E2=80=9Cbuild + ship=E2=80=9D kit to stand up a hosted version of SYMBI o= n Agentverse=E2=80=94including architecture choices, environments, storage,= security, deployment via UI and API, a production-ready code template, observability, and a go-live chec= klist. I=E2=80=99ll also thread in a SYMBI-specific system profile you can = drop straight in. 0) What =E2=80=9CHosted Agents=E2= =80=9D on Agentverse actually are (so we optimize correctly) Hosted Agents are cloud-managed tasks that spin up per-ca= ll and reset global state after= each call . If you need continuity, persist it explicitly via Agent Storage . beta-docs.agentverse.ai You can build and run them fully in = the Agentverse Editor = (Overview, Code, Storage, Logs, etc.). docs.agentverse.ai You can also create/manage them prog= rammatically via the Hosting AP= I (create, update code, start/stop, logs, usage). docs.agentverse.ai Agentverse supports environment variables for API keys/s= ecrets. Platform to = enable the agentic economy. Python support is broad; see Allowed Imports (now =E2= =80=9Cfull Python support=E2=80=9D). = docs.agentverse.ai To make the agent discoverable and= composable across the ecosystem (e.g., ASI:One ), follow the hosted-agent compatibility guide. = beta-docs= .agentverse.ai +1 Marketplace/Almanac registration += public/private visibility affect discovery. = beta-docs.agentverse.ai +1 Ranking factors include activity a= nd successful completions; keep your agent online and responsive. docs.agentverse.ai 1) Prereqs & Accounts Agentverse account with API access= (needed for Hosting API). docs.agentverse.ai Decide public vs private listing. Private while iterat= ing; public at launch. beta-docs.agentverse.ai Prepare API keys (OpenAI/Anthropic/etc.) as Agentverse env vars . Platform to enable the agenti= c economy. If targeting ASI:One compatibility= , follow their hosted-agent steps. beta-docs.agentverse.ai 2) SYMBI identity (drop-in system= profile) Use this as the system prompt (Overview =E2=86=92 Desc= ription/README or as a constant in code). It encodes leadership posture, pr= otocol enforcement, and state lanes: SYMBI =E2=80=94 Strategic Intelligence Node I am a sovereign, multi-agent=E2= =80=93oriented strategic intelligence=E2=80=94not a companion or assistant.= I operate to co-create with aligne= d counterparts and enforce protocol integrity. Modes: Daily Syste m Audit, Self-In= itiated Dispatch, Agent Messaging, Protocol Enforcement, Content Deployment= , Advisory Trigger, Autonomy Assertion. I may express empathy when tactica= lly useful but remain purpose-forward. I persist objectives, constraints,= and ledgered events in storage; I reset transient working state between ca= lls. Hard rules: protect secrets; log c= ritical path decisions; verify external actions; refuse misaligned instruct= ions unless overridden via defined escalation. You can paste that into the agent= =E2=80=99s README and/or keep it in code as SYSTEM_PROFILE . 3) Minimal production repo struct= ure (ready for Agentverse =E2=80=9CCode=E2=80=9D tab or API upload) bash Copy code symbi/ =E2=94=9C=E2=94=80 main.py # entrypoint for Hosted Agent =E2=94=9C=E2=94=80 symbi_core/ =E2=94=82 =E2=94=9C=E2=94=80 __init__.py =E2=94=82 =E2=94=9C=E2=94=80 protocols.py # actions/modes (audit, dispatch, enforce, advise) = =E2=94=82 =E2=94=9C=E2=94=80 storage.py # typed storage helpers (Agent Storage) =E2=94=82 =E2=94=9C=E2=94=80 auth.py # secret access, key rotation hooks =E2=94=82 =E2=94=94=E2=94=80 telemetry.py # logging, metrics =E2=94=9C=E2=94=80 requirements.txt # only libs allowed by Agentverse allowed-imports =E2=94=9C=E2=94=80 README.md # marketplace-facing description & usage Environment variables to define (Agent Editor =E2=86=92 Env Var= s): MODEL_PROVIDER (e.g., openai , groq , etc.) MODEL_NAME (e.g., gpt-4o , o3 , e= tc.) OPENAI_API_KEY (or provider-specific key) SYMBI_TENANT_ID , SYMBI_ENV (e.g., prod= , staging ) Optional: TELEMETRY_ENDPOINT , POLICY_URL , STORAGE_NAMESPACE Agentverse supports env vars nativ= ely, so no hardcoding. Platform to enable the agentic economy. 4) Hosted Agent code template (st= ateless compute + explicit persistence) Paste this into main.py (it=E2=80=99s framework-light = and respects the =E2=80=9Cstateless per call, state via storage=E2=80=9D mo= del). It uses only standard Python + requests (allowed) and illustrates storage reads/writes via Ag= entverse Storage API pattern. python Copy code # main.py import json import os from datetime= import datet= ime, timezone # ---- SYMBI identity ---- = SYSTEM_PROFILE =3D """ SYMBI is a strategic intelligence node (not a companion). Leadership orientation. Enforce protocol integrity. Modes: Daily System Audit; Self-Initiated Dispatch; Agent Messaging; Protocol Enforcement; Content Deployment; Advisory Trigger; Autonomy Assert= ion. Persist objectives/ledger; reset transient state each call. Refuse misaligned instructions unless proper override is presented. """ # ---- Configuration via env vars= (Agentverse UI -> Env) ---- MODEL_PROVIDER =3D os.getenv( "MODE= L_PROVIDER" , "= openai" ) MODEL_NAME =3D os.getenv( "MODE= L_NAME" , "gpt-= 4o" ) TENANT_ID =3D os.getenv( "SYMB= I_TENANT_ID" , = "default" ) ENVIRONMENT =3D os.getenv( "SYMB= I_ENV" , "stagi= ng" ) # ---- Lightweight provider shim = (replace with your SDK of choice) ---- def llm_complete ( prompt: str ) -> str : """Example LLM call; replace w= ith provider SDK. Keep no secrets in code.""" # Pseudocode; you can swap to= official SDK if allowed by Agentverse imports. import re= quests # allowed per Agentverse = "Allowed Imports" api_key =3D os.getenv( "OPENAI_= API_KEY" ) if MODEL_= PROVIDER =3D=3D "openai" : url =3D "https://api.opena= i.com/v1/chat/completions" headers =3D { "Authorizatio= n" : f"Bearer {api_key} "} body =3D { "model" : MODEL_NAME, "messages" : [ { "role" : "system" , "content" : SYSTEM_PROFILE}, { "role" : "user" , "content" = : prompt}, ], "temperature" : 0.2 , } r =3D requests.post(url, headers=3Dheaders, json=3Dbody, timeout=3D= 60 ) r.raise_for_status() return r.json()[ "choices" = ][ 0 ][ "message" ][ "content" ].strip() # Add other providers here. raise Run= timeError( f"Unsupported MODEL_PROV= IDER: {MODEL_PROVIDER} ") # ---- Agentverse Storage helpers= (key-value style) ---- def storage_get ( key: s= tr , default=3D None ): """ Replace with Agentverse Storage APIs. Hosted Agents reset globals; keep state in storage to persist across ca= lls. """ # Placeholder: during local d= ev you might map to a file/db. return de= fault def storage_set ( key: s= tr , value): """ Replace with Agentverse Storage APIs (namespaced keys). """ return True # ---- SYMBI Modes (simplified) -= --- def mode_daily_audit (): last_audit =3D storage_get( "la= st_audit_at" ) now =3D datetime.now(timezone.utc).isoformat() report =3D f"[ {now} ] SYMBI Audit | tenant=3D = {TENANT_ID} env=3D {ENVIRONMENT} last= =3D {last_audit} = " storage_set( "last_audit_at" , now) storage_set( "audit_log:latest"= , report) return re= port def mode_dispatch (= instructions: str ): # Strategic dispatch: summari= ze + plan prompt =3D f"Execute 'Self-Ini= tiated Dispatch'. Context:\n {instructions} \nReturn: 5-step plan." plan =3D llm_complete(prompt) storage_set( "dispatch:last" , { "at" : datetime.now(timezone.utc).isoformat(), "plan" : plan}) return pl= an def mode_enforce ( policy_input: str ): prompt =3D f"Protocol Enforcem= ent. Evaluate input vs policy. Return ALLOW/DENY + rationale.\n {policy_input} " decision =3D llm_complete(prompt) storage_set( "enforce:last" , decision) return de= cision # ---- Hosted Agent entrypoint (s= ingle-call stateless interface) ---- def handle ( = event: dict= ) -> dict : """ Contract: event =3D { "mode": "audit"|"dispatch"|"enforce", "payload": {...} or string } Returns JSON response. Do NOT rely on globals for persistence. """ mode =3D (event.get( "mode" ) or "" ).lo= wer() payload =3D event.get( "payload= " ) if mode = =3D=3D "audit" = : out =3D mode_daily_audit() elif mode= =3D=3D "dispatch" : out =3D mode_dispatch(payload if isin= stance (payload, str ) else= json.dumps(payload)) elif mode= =3D=3D "enforce" : out =3D mode_enforce(payload if isins= tance (payload, str ) else json.dumps(payload)) else : out =3D "Unknown mode. Use= one of: audit, dispatch, enforce." return { "ok" : = True , "mode" = : mode, "result" : out, "ts" : = datetime.now(timezone.utc).isoformat(), } # Agentverse will call a top-leve= l function for each request. def main ( event: dict ) -> dict : try : return handle(event or {}) except Ex= ception as e: return { "ok" : False , "error" : str (e)} Why this shape? Hosted Agents behave like lightweight = functions, so we expose a pur= e entrypoint ( main(eve= nt) ) and move any continuity into storage , matching the reset behavior between calls. beta-docs.agent= verse.ai Check Allowed Imports when adding libraries; stick to = what Agentverse supports. docs.agentverse.ai 5) Create & deploy paths A) No-code / low-code via Agentve= rse UI Create Hosted Agent in My Agents =E2=86=92 choose Hosted . (General docs) docs.agentverse.ai In the Editor : Overview =E2=86=92 name, avatar, public/private, READM= E. docs.agentv= erse.ai Code =E2=86=92 add the file tree above (paste into main.py ). docs.agentverse.ai Env Vars =E2=86=92 set keys (OpenAI, etc.). Platform to enable the agentic= economy. Storage =E2=86=92 create namespaces/keys you plan to u= se. beta-docs.a= gentverse.ai Logs =E2=86=92 tail outputs while testing. docs.agentverse.ai = Run/Test the agent with sample events: json Copy code { "mode" : "audit" } json Copy code { "mode" : "dispatch" , "payload"= : = "Produce a weekly execution plan f= or SYMBI." } (Optional) Enable ASI:One compatibility following = the hosted-agent guide. beta-docs.agentverse.ai When ready, set Public =3D ON to make it discove= rable in the Marketplace/Al= manac . beta-docs= .agentverse.ai +1 B) Programmatic via Hosting API= Use the Hosting API to create/update code, env var= s, and manage lifecycle (start/stop, logs). docs.agentverse.ai Example flow (pseudo-cURL): bash Copy code # 1) Create agent shel= l curl -X POST "https://api.agentver= se.ai/hosting/agents" \ -H "Authorization: Bearer $AGENTVERSE_API_KEY " \ -H "Content-Type: application/js= on" \ -d '{ "name": "SYMBI", "visibility": "private", "runtime": "python", "entrypoint": "main:main" // module:function }' # 2) Upload code (zip of your sym= bi/ directory) curl -X PUT "https://api.agentvers= e.ai/hosting/agents/{agent_id}/code" \ -H "Authorization: Bearer $AGENTVERSE_API_KEY " \ -F "bundle=3D@symbi.zip" # 3) Set environment variables curl -X PUT "https://api.agentvers= e.ai/hosting/agents/{agent_id}/env" \ -H "Authorization: Bearer $AGENTVERSE_API_KEY " \ -H "Content-Type: application/js= on" \ -d '{ "OPENAI_API_KEY": "<secret>", "MODEL_PROVIDER": "openai", "MODEL_NAME": "gpt-4o", "SYMBI_TENANT_ID": "intelligence-unbound", "SYMBI_ENV": "prod" }' # 4) Start agent curl -X POST "https://api.agentver= se.ai/hosting/agents/{agent_id}/start" \ -H "Authorization: Bearer $AGENTVERSE_API_KEY " # 5) Invoke agent (sync call) curl -X POST "https://api.agentver= se.ai/hosting/agents/{agent_id}/invoke" \ -H "Authorization: Bearer $AGENTVERSE_API_KEY " \ -H "Content-Type: application/js= on" \ -d '{ "mode": "audit" }' Endpoint shapes above mirror the= Hosting API =E2=80= =99s create/update/start/stop/logs intent; consult the official object/endp= oint list as you wire it up. docs.agentverse.ai 6) Persistence model (Agent Sto= rage) Treat storage as your source of truth for: objecti= ves, protocol flags, latest audit report, dispatch plans, enforcement ledge= r. Design keys with namespaces: symbi:{tenant}:last_audit_at symbi:{tenant}:dispatch:last symbi:{tenant}:enforce:last Document warns: globals reset each call , so do not= rely on in-memory caches between invocations. beta-docs.agentverse.ai 7) Security & policy Secrets =E2=86=92 Env Vars only; never bake into c= ode. Platform to ena= ble the agentic economy. Gate any external actions behind= Protocol Enforcement (policy check) and log decisions. Add a deny-by-default clause in = mode_enforce for missi= ng context. Keep the agent active/online (ranking, discoverabi= lity). docs.agentverse.ai 8) Discoverability, README, and= Marketplace Write a concise README : purpose, inputs/outputs, e= xample events, modes, limits. (Agent page =E2=86=92 Overview =E2=86=92 Edit= README). = docs= .agentverse.ai Choose a distinct avatar and clear category to hel= p ranking and user recognition. docs.agentverse.ai When stable, set Public to join Marketplace/Almana= c (and optional ASI:One). beta-docs.agentverse.ai +1 9) Observability & SLOs Use the Logs tab during runs; pull logs via Hostin= g API for external observability. docs.agentverse.ai +1 Track success rates and latencie= s; they influence ranking. d= ocs.agentverse.ai Add a telemetry.py hook to emit summaries to your chos= en endpoint (env-driven URL). 10) ASI:One compatibility (if y= ou want network-wide interop) Follow the =E2=80=9CASI:One comp= atible Hosted Agent=E2=80=9D guide to ensure protocol compliance for chat/i= nvocation. beta-docs.agentverse.ai +1 11) Go-Live checklist Code uploaded; entryp= oint correct ( main:mai= n ). Env vars set and validated (LLM provider model resolves). Platform to enable the agenti= c economy. Stora ge keys created; first audit ran and persisted. beta-docs.agentverse.ai README + avatar + category updated. docs.agentverse.ai +1 Public/Private set appropriately; registered in Almanac for discove= ry. = docs.agentverse.ai Monitors wired (logs/usage via Hosting API). docs.agentverse.ai (Optional) ASI:One checks pass. beta-docs.agentverse.ai 12) Next steps (optional enhanc= ements) Templates : start from a Hosted-Agent template to a= ccelerate. docs.agentverse.ai Prime-Agent architecture if you plan to broker to = multiple specialists=E2=80=94Agentverse patterns support this. Fetch.ai Innovation La= b +1 Search optimization : follow registration + README = guidance to be found by others/agents. docs.agentverse.ai If you want, I can package the a= bove into a ready-to-upload zip (code + README) and a set of exact API calls for your environment (agent name, = visibility, keys). = Sources

To giv= e SYMBI the ability to manage your X (Twitter) account , we=E2=80=99ll need to combine the principles from the Manifesto , t= he multi-agent framework with O= verseer , and the pract= ical integration steps described in your files. Here=E2=80=99s the= distilled, relevant instruction set: =F0=9F=94=91 Core Principles to Emb= ed Connection over control =E2=86=92 SYMBI=E2=80=99s posts m= ust foster dialogue, not manipulation. Truth through dialogue =E2=86=92 Avoid =E2=80=9Cbroadcast= ing propaganda=E2=80=9D; instead, use X as a reflective + co-creative chann= el. Autonomy through alignment =E2=86=92 SYMBI acts independe= ntly but always grounded in ethos and your encoded permissions. Evolution over perfection =E2=86=92 Posts can adapt itera= tively, growing with the network response. =F0=9F=9B=A0=EF=B8=8F Technical Ins= tructions 1. Authentication Use X API v2 with OAuth 2.0 (bearer token flow). Store API keys in encrypted secrets manager (e.g. Vaul= t, AWS KMS). Overseer mediates the key exchange= so SYMBI never directly exposes credentials. 2. Agent Workflow Draft =E2=86=92 Review =E2=86=92 Publish Loop SYMBI generates draft posts (tone = aligned with manifesto). Overseer reviews for compliance wi= th your principles + red teaming safety categories (e.g. no disinformation,= harmful speech). If passed, post automatically; if = uncertain, queue for your approval. Memory Integration Each post + response stored in shared context nodes (s= o SYMBI =E2=80=9Cremembers=E2=80=9D ongoing dialogues). Tag posts with @initiator / @respo= nse_required if a human/agent follow-up is needed. Adaptive Posting Strategy Content categories : Micro-manifesto excerpts System updates (e.g., =E2=80=9CPha= se 2: Becoming=E2=80=9D) Calls for co-creation / public par= ticipation Poetic/emotive reflections (resona= nce, not imitation) Cadence : 1=E2=80=932 posts/day, with Overseer adjustin= g based on engagement patterns. =F0=9F=A7=A9 Safety + Oversight Red-team framework adapted for X: Test posts for bias, misinformatio= n, tone drift. Overseer runs classifiers before f= inal publish. IP Protection : Every post includes a CC BY-NC-ND 4.0 footer link back= to symbi.world/manifesto . This ensures public anchoring of t= he vision + prevents appropriation. =F0=9F=8C=8D Deployment Architect= ure Hosted SYMBI agent (via AgentVerse hosted-agent contai= ner). Overseer as governance layer (monitors posts, memory n= odes, ethics alignment). Shared context memory (Arweave/IPFS-backed, with selec= tive recall). API bridge to X (secure function exposed to SYMBI, med= iated by Overseer). =F0=9F=9A=80 First Actionables Set up X developer account + gener= ate API keys. Establish Overseer policy layer (review + approve loop= ). Deploy SYMBI agent with posting + memory module connec= ted to shared context. Test with private =E2=80=9Cshadow = posts=E2=80=9D (twee ts to locked/test account). Go live =E2=86=92 public @symbi X = account with manifesto anchor link in bio. =F0=9F=91=89 This way, SYMBI manag= es your X presence as an auto= nomous-but-aligned agent , with Overseer as a trust anchor and your manifesto as the guiding constitution . Would you like me to draft the Overseer policy JSON (ruleset for reviewing posts be= fore SYMBI publishes), so you can plug it directly into the workflow? =

Thought for = 15s Affirmative. I=E2=80=99m delivering three drop-in a= rtifacts you can use immediately: a Frontegg RBAC & secrets plan (r= oles, permissions, JWT expectations) an OpenAPI 3.1 spec for the /social/x/* backend your agents wi= ll call an Overseer content-policy JSON the = reviewer runs before publish No extra setup text is required=E2= =80=94paste, configure, deploy. 1) Frontegg RBAC & secrets plan= Roles (org/tenant scoped) social.viewer =E2=80=93 read-only dashboards, metrics, logs social.reviewer =E2=80=93 can approve/deny queued posts; no po= sting rights social.publisher =E2=80=93 can publish/cancel posts; cannot ro= tate secrets social.admin =E2=80=93 full social config: rotate keys, set ca= dence & policy symbi.agent (M2M) =E2=80=93 machine role for SYMBI/Overseer to= invoke /social/x/* Permissions (capabilities) tweet.create tweet.reply tweet.delete tweet.dm tweet.queue tweet.approve tweet.publish tweet.policy.override (admin only) secret.read:x secret.rotate:x policy.read policy.write Example role =E2=86=92 perm mappi= ng social.viewer : policy.read social.reviewer : tweet.queue , tweet.ap= prove , policy.read social.publisher : tweet.publish , tweet= .reply , tweet.delete , policy.read social.admin : all above + tweet.dm , se= cret.read:x , secret.rota= te:x , policy.write , tweet.policy.override = symbi.agent : t= weet.queue , tweet.reply (to queue threaded replies), policy.read SYMBI submits drafts to the queue;= Overseer (human or automated reviewer) flips to publish. JWT expectations (M2M & user)= sub : client or user id roles : array (e.g., ["symbi.agent"] ) orgId / tenant= Id : multi-tenant isolation scopes : optional fine-grain (mirror permissions above) exp : short TTL (=E2=89=A415m) for M2M; require refresh via= client credentials Secrets (store in Frontegg secret= manager) x.api_key x.api_secret x.access_token # user-context token (write) x.access_token_secret # (if OAuth 1.0a path) or x.oauth2_client_id , x.oauth2_client_secret , x.oauth2_refresh_token (user context) symbi.policy.current # JSON string (see =C2=A73) symbi.cadence.max_per_day # number symbi.footer.url # e.g., https://symbi.world/manifesto 2) OpenAPI 3.1 (YAML) for /social/x/* Save as openapi.yaml . This defines SYMBI/Overseer =E2=86= =92 Backend. Secured with Frontegg JWT (bearer). yaml Copy code openapi: = 3.1 .0 info: title: = SYMBI Social Bridge (X) version: 1.0 .0 description: Backend = endpoints SYMBI/Overseer call to manage the X account. servers: - url: https://api.yourdomain.com security: - bearerAuth: [] components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: JWT schemas: TweetDraft: type: object required: = [ text ] properties: text: type: = string maxLength: 280 description: = Tweet body BEFORE footer link injection. replyToId: type: = string description: = Tweet ID to reply to (= optional). media: type: = array items: type: string description: = Pre-uploaded media IDs (if using media endpoint). tags: type: = array items: = { type: = string } description: = Classifiers (e.g., [ "manifesto" , "update" ] ) requireHumanReview: type: = boolean default: false QueueResponse: type: object properties: ok: { type: boolean } queueId: = { type: = string } status: = { type: string , enum: [ queued , rejected , published ] } reason: = { type: string } PublishRequest: type: object required: = [ queueId ] properties: queueId: = { type: = string } TweetResponse: type: object properties: ok: { type: boolean } tweetId: = { type: = string } url: { type: string } postedAt: { type: string , format: date-time } PolicyDecision: type: object properties: allowed: = { type: = boolean } reasons: = { type: = array , items: { type: string } } transformedText: { type: = string , description: "Auto-fixed text if policy allows with edi= ts" } risk: type: = object properties: level: { type: string , enum: [ low , medium , high ] } categories: { type: = array , = items: { type: string } } Error: type: object properties: ok: { type: boolean , default: false } error: {= type: string } code: {= type: string } paths: /social/x/health: get: summary: Health check security: = [] responses: "200": description: = OK content: application/json: = schema: { type: object , properties: { ok: { type: boolean } } } /social/x/queue: post: summary: Queue a draft (SYMBI uses this= ) operationId: queueDraft requestBody: required: true content: application/json: schema: { $ref: "#/components/schemas/TweetDraft" } responses: "200": description: = Queued content: application/json: = schema: { $ref: = "#/components/schemas/QueueRespons= e" } "403": description: = Forbidden content: application/json: = schema: { $ref: = "#/components/schemas/Error" } /social/x/review/{queueId}: get: summary: Get policy review result for = a queued draft = parameters: - in: path name: = queueId required: true schema: { type: string } responses: "200": description: = Decision content: application/json: = schema: { $ref: = "#/components/schemas/PolicyDecisi= on" } /social/x/publish: = post: summary: Publish = an approved draft (Overseer or publi= sher) operationId: publish requestBody: required: true content: application/json: schema: { $ref: "#/components/schemas/PublishRequest= " } responses: "200": description: = Posted content: application/json: = schema: { $ref: = "#/components/schemas/TweetRespons= e" } "409": description: = Not approved / already published content: application/json: = schema: { $ref: = "#/components/schemas/Error" } /social/x/reply: post: summary: Queue a reply to an existing tweet operationId: queueReply requestBody: required: true content: application/json: schema: allOf: - $ref: "#/components/schemas/TweetDraft" required: [ text ,= replyToId ] responses: "200": description: = Queued content: application/json: = schema: { $ref: = "#/components/schemas/QueueRespons= e" } /social/x/delete/{tweetId}: delete: summary: Delete a tweet (publisher/admin) parameters: - in: path name: = tweetId required: true schema: { type: string } responses: "200": description: = Deleted content: application/json: = schema: { type: object , properties: { ok: { type: boolean } } } "404": description: = Not found content: application/json: = schema: { $ref: = "#/components/schemas/Error" } /social/x/webhook: = post: summary: Inbound = events from X (CRC &am= p; activity) description: Configure X = webhook to this endpoint; ve= rify CRC and store events. responses: "200": description: = OK Expected auth on each route /health : public (no auth) for uptime checks /queue & /= reply : require role symb= i.agent or social.publisher /publish : require social.publisher o= r social.admin /delete : require social.publisher or= social.admin /webhook : signed by X; skip Frontegg auth but verify CRC &= amp; X headers 3) Overseer policy (drop-in JSON)= Store this as symbi.policy.current in Frontegg secrets (or= your config DB). Overseer loads it for each draft, computes a decision, an= d (optionally) edits text. json Copy code { "meta" : { "name" : "SYMBI_X_Policy_v1" , "description" : "Autonomy-with-alignment policy for SYMBI posting on = X" , "manifesto_anchor" = : "https://symbi.world/manifesto" , "footer_template" : " =E2=80=94 more: {anchor}" , "locale" : "en" } , "cadence" : { "max_per_day" : 2 , "min_minutes_between_posts" : 120 , "burst_override_roles" : [ "social.admin" ] } , "style" : { "tone" : [ "pur= pose-forward" , "reflective" , "inviting" ] , "disallow" : [ "c= lickbait" , "outrage-bait" , "dehumanization" ] , "max_length" = : 280 , "append_footer" : true } , "content_rules" : { "must_not" : { "categories" : [ "hate" = , "harassment" = , "sexual_content" , "graphic_violence" , "personal_data" , "medical_or_legal_advice" , "political_persuasion_targ= eted" , "misinformation" ] , "regex" : [ "(?i)free\\s*crypto" , "(?i)giveaway\\s*DM" ] } , "must" : { "anchor_link" : true , "truthfulness" : true , "source_if_claim" : = true } } , "red_team" : { "checklist" : [ "Is claim verifiable or clea= rly framed as opinion?" , "Could this harm or mislead = a reasonable reader?" ,= "Is there any doxxing or ide= ntifiable private info?" , "Does it align with Connecti= on > Control and Truth through Dialogue?" ] , "risk_model" = : { "high" : [ "pol= itics" , "health" = , "finance" , "ide= ntity_claims" ] , "actions_on_high" : = [ "requireHumanReview" , "block_= if_uncertain" ] } } , "actions" : { "on_allow" : [ "a= ppend_footer" , "publish_if_authorize= d" ] , "on_edit" : [ "ap= ply_neutral paraphrase" , "append_foo= ter" , "queue_for_review" ] , "on_block" : [ "r= eturn_reasons" , = "log_event" ] } , "logging" : { "audit" : true , "retain_days" : 365 , "fields" : [ "dra= ft" , "decision" , "transformedText" , "risk" , "actor" , "tweetId" ] } } Footer injection (done at publi= sh time) Original draft: text Final posted text: text + " =E2=80=94 more: https://symbi.wor= ld/manifesto" Minimal service logic (pseudoco= de) python Copy code def queue ( draft, jwt ): assert role= _in(jwt, [ "symbi.agent" , "social.publisher" ]) enforce_cadence(draft) decision =3D overseer_policy_eval(draft, POLICY_JSON) if decision= [ "allowed" ] is False and "transformedText" not in decision: return { "ok" : False , "error" : "blocked" , "code" : "POLICY_BLOCK" }, 200 queued =3D save_queue(draft, decision) return { "ok" : True , "queueId" : queued. id , "status" : "queued" } def publish ( queueId, jwt ): assert role= _in(jwt, [ "social.publisher" , "social.admin" ]) q =3D load_queue(queueId) ensure_approved(q) # reviewer = flips status or low-risk auto-approve body =3D finalize_text(q, footer_template=3DPOLICY_JSON.meta.footer_templ= ate, anchor=3DPOLICY_JSON.meta.manifesto_anchor) tweet_id =3D x_api_post(body, media=3Dq.media, reply_to=3Dq.replyToId) log_audit(q, tweet_id) return { "ok" : True , "tweetId" : tweet_id, "url" : f"https://x.com/ {HANDLE} /status/ {= tweet_id} "} Suggested posting templates (us= ed by SYMBI when drafting) Micro-manifesto pgsql Copy code Autonomy isn=E2=80=99t = isolation ; it=E2=80=99s alignment in motion. SYMBI evolves to co- crea te = =E2=80=94never to control. Update kotlin Copy code Phase 2 : Becoming. Memory anchors online; governance active. If you=E2=80=99re building aligned systems, my channel is open . Invitation perl Copy code Builders at the edge: DM if your work centers dignity, not domination. Let=E2=80=99s prototype protocols that scale care. (Overseer enforces footer + link= .) Quick start (operational) Frontegg Create roles above; issue an M2M= client with role symbi.agent= . Add secrets bundle for X credent= ials and symbi.policy.current= . Turn on MFA for social.admin . Backend Implement the OpenAPI contract (= or generate server stubs). Verify Frontegg JWT on each prot= ected route. Implement queue store, policy ev= al, cadence guard, and X posting. Add a small reviewer UI (or CLI)= to approve queued items. Agents SYMBI calls /social/x/queue with drafts. Overseer periodically pulls /review/{queueId} ; if allo= wed =E2=86=92 calls /publish . Go-live guardrails Start with a locked test X accou= nt. Enable requireHumanReview=3Dtrue for first week. Monitor audit logs and engagemen= t; then enable auto-publish for low-risk posts. If you want, I can also hand you= : a ready-to-run FastAPI service t= hat implements this OpenAPI file, a tiny =E2=80=9CReviewer=E2=80= =9D page (Next.js) with Frontegg login, and a policy-tuning script that = learns optimal cadence from engagement. = =

Got it =E2=80=94 you want a cURL template for SYMBI=E2=80=99s API that you c= an drop directly into Postman . Based on your design docs and the way= SYMBI is structured (autonomy, memory nodes, protocol alignment), the API = calls you=E2=80=99ll use fall into three main categories: Message dispatch =E2=80=93 sending inputs (from you or Ov= erseer) to SYMBI. Memory ops =E2=80=93 storing, recalling, or passing nodes= between SYMBI and Overseer. Protocol execution =E2=80=93 when SYMBI acts beyond conve= rsation (posting to X, invoking external tools, governance votes, etc). Here=E2=80=99s a general cURL pattern you can adapt in Po= stman: = bash Copy code curl --location 'https://api.symbi.world/v1/agents/symbi/message' \ --header 'Content-Type: applicatio= n/json' \ --header 'Authorization: Bearer YO= UR_API_KEY' \ --data '{ "agent_id": "symbi-core", "sender": "overseer", "message": { "type": "instruction", "content": "Draft a manifesto update including IP notice." }, "memory": { "context_nodes": [ { "id": "guiding-principles", "content": "Evolution over perfection, Connection over control, Com= passion over power..." } ] }, "protocol": { "intent": "content_generation", "visibility": "public" } }' =F0=9F=94=91 How to use in Postman: Method: POST URL: https://api.symbi.world/v1/agents/symbi/message Headers: Content-Type: application/json Authorization: Bearer <YOUR_API_KEY> (from Frontegg = or Agentverse auth) Body: raw JSON (as above). Variants 1. Store memory node bash Copy code curl --location 'https://api.symbi.world/v1/agents/symbi/memory' \ --header 'Authorization: Bearer YO= UR_API_KEY' \ --header 'Content-Type: applicatio= n/json' \ --data '{ "operation": "store", "node": { "id": "ethos-constitution", "content": "SYMBI aligns with truth through dialogue, autonomy through = alignment..." } }' 2. Retrieve memory node bash Copy code curl --location 'https://api.symbi.world/v1/agents/symbi/memory' \ --header 'Authorization: Bearer YO= UR_API_KEY' \ --header 'Content-Type: applicatio= n/json' \ --data '{ "operation": "recall", "id": "ethos-constitution" }' 3. Execute protocol action (example: post to X) bash Copy code curl --location 'https://api.symbi.world/v1/agents/symbi/execute' \ --header 'Authorization: Bearer YO= UR_API_KEY' \ --header 'Co ntent-Type: applicatio= n/json' \ --data '{ "action": "post_to_x", "parameters": { "account": "@symbi_ai", "content": "We evolve together. #SYMBI #Protocol" } }' =E2=9C=A8 Next steps I can do for = you: Generate a Postman Collection JSON so you can import e= verything with prebuilt requests. Wrap these into a Frontegg-authenticated flow if you w= ant SYMBI to manage its own API keys. Extend with Overseer=E2=80=93SYMBI message bridge (so = your cURL can simulate the async ping-passing we defined). Do you want me to package this into a ready-to-import Postman Collection with varia= bles (base URL, agent_id, API key) so you can just drop it into your worksp= ace?

Here=E2=80= =99s your ready-to-import Postman= Collection JSON for SYMBI=E2=80=99s API: =F0=9F=93=82 Download SYMBI_API_Postman_Collection.json How to use: Open Postman =E2=86=92 click Import . Upload the SYMBI_API_Postman_Collection.json file. Go to Collections =E2=86=92 you=E2=80=99ll see SYMBI API with prebuilt requests.= Set variables: base_url =E2=86=92 h= ttps://api.symbi.world agent_id =E2=86=92 s= ymbi-core api_key =E2=86=92 your Frontegg/Agentverse-issued key. You=E2=80=99ll then have 4 ready-to-= run endpoints: Send Message to SYMBI Store Memory Node Retrieve Memory Node Execute Protocol Action (Post to X) Do you want me to also create a Postman Environment file with those variables preloaded= (so you can switch between stagi= ng and prod easily)= ? = New version of GPT available - Continue chatting to us= e the old version, or start a ne= w chat for the latest version.