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PALM SOUQ

PALM SOUQ vs LiteLLM

PALM SOUQ vs LiteLLM

LiteLLM is a popular open-source SDK and proxy that puts 100+ providers behind the OpenAI format, with virtual keys, budgets and spend tracking you host yourself. PALM SOUQ is a managed edge gateway focused on tenant economics and loop containment.

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Capabilities based on LiteLLM's public documentation. Corrections: legal@palmsouqltd.com
client.py (with PALM SOUQ)
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://gateway.palmsouqltd.com/v1",
    api_key=os.environ["OPENAI_API_KEY"],
    default_headers={
        "X-PalmSouq-Tenant": account.id,       # your customer ID
        "X-PalmSouq-Tier": account.plan,       # starter | team | enterprise
        "X-PalmSouq-Feature": "support-agent", # optional cost center
    },
)
LiteLLM logo

Open-source LLM proxy and SDK

What LiteLLM does well.

  • LiteLLM normalises a large set of providers to one OpenAI-style interface, in-process as a Python SDK or as a proxy server.
  • The proxy supports virtual keys with max budgets and budget durations, per-key and per-team TPM and RPM limits, spend tracking in Postgres, and fallbacks.
  • It is open source, so you control the deployment, the data and the upgrade schedule.

Capability matrix

PALM SOUQ and LiteLLM, side by side.

Descriptions, not checkmarks: most rows are a question of emphasis rather than presence.

CapabilityPALM SOUQLiteLLM
Provider coverageMajor providers and OpenAI-compatible hosts100+ providers through one format
BudgetsPer tenant, tier, feature and user; soft and hard capsYes, max budget per key, user and team
Rate limitsSliding-window tokens and dollarsYes, TPM and RPM per key and team
Runaway loop heuristicsFour heuristics, halt in under 50 msBudgets and limits; no dedicated loop heuristics documented
Hosting and availabilityManaged, 280+ PoPs, 99.999% SLA, fail-open SDKsSelf-hosted; availability is yours to run
Per-tenant gross marginBuilt inSpend data; revenue not modelled
Billing platform syncStripe, Metronome, Orb, LagoSpend data available via API and callbacks
CostFrom $99 a month plus usageOpen source; enterprise licence for some features; plus your hosting

Where PALM SOUQ differs

Governance in the request path, keyed on your customer.

Managed edge versus a proxy you operate

With LiteLLM you run the proxy, its database and its scaling, and you own its availability. PALM SOUQ runs on 280+ edge PoPs with a 99.999% SLA, and its SDKs fail open to the provider if the gateway is unreachable.

Budgets per key versus economics per tenant

LiteLLM budgets attach to keys, users and teams. PALM SOUQ attaches budgets to tenants and tiers that mirror your pricing page, then compares spend with what each tenant pays you.

Behavioural loop detection

A max budget eventually stops a loop, after it has spent the budget. PALM SOUQ's heuristics stop the loop at the pattern: 15 identical tool calls, a velocity surge, or echoing plans.

Choose LiteLLM when

  • You want full control and are comfortable operating a proxy and its database.
  • You need an in-process SDK that normalises many providers without a network hop.
  • Your budgets map cleanly onto API keys rather than customers.

Choose PALM SOUQ when

  • You do not want to own the availability of a component in every LLM call.
  • Your pricing has tiers and you need margin per tenant, not spend per key.
  • You run agents and need loops stopped at the pattern, not at the budget.

Using both: LiteLLM's SDK can point at PALM SOUQ as an OpenAI-compatible endpoint, so teams keep its provider abstraction in code and add tenant governance at the edge.

Migration

Moving from LiteLLM.

If your app calls the LiteLLM proxy through the OpenAI SDK, change the base URL and replace the virtual key with tenant headers. LiteLLM's `user` field maps onto X-PalmSouq-User.

  1. 01Export spend by key from the LiteLLM database and map keys to tenants.
  2. 02Translate max_budget and budget_duration into tier budgets with soft and hard caps.
  3. 03Recreate fallbacks as PALM SOUQ fallback chains.
  4. 04Retire per-customer virtual keys; one provider key in PALM SOUQ KMS serves all tenants.
client.py (LiteLLM proxy)
import os
from openai import OpenAI

client = OpenAI(
    base_url="http://litellm-proxy.internal:4000",
    api_key=os.environ["LITELLM_VIRTUAL_KEY"],  # one key per customer
)

client.chat.completions.create(
    model="gpt-4.1", messages=messages, user=account.id,
)
client.py (with PALM SOUQ)
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://gateway.palmsouqltd.com/v1",
    api_key=os.environ["OPENAI_API_KEY"],
    default_headers={
        "X-PalmSouq-Tenant": account.id,       # your customer ID
        "X-PalmSouq-Tier": account.plan,       # starter | team | enterprise
        "X-PalmSouq-Feature": "support-agent", # optional cost center
    },
)

PALM SOUQ vs LiteLLM: questions

Does LiteLLM support budgets?

Yes. The LiteLLM proxy supports max budgets and budget durations per key, user and team. PALM SOUQ differs on managed hosting, loop heuristics and margin per tenant.

Can I keep the LiteLLM SDK?

Yes. Point it at gateway.palmsouqltd.com as an OpenAI-compatible base URL and pass the PALM SOUQ headers.

Is a managed gateway a single point of failure?

PALM SOUQ SDKs fail open: if the gateway is unreachable, calls go straight to the provider and metering resumes when the gateway returns.

LiteLLM is a trademark of its owner and is referenced here for comparison only. Spotted something out of date? Email legal@palmsouqltd.com.

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Don't wait for a surprise $10,000 OpenAI invoice.

Route your agent traffic through PALM SOUQ in 2 minutes. Change one base URL, pass a tenant header, and every token is attributed and governed.

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